36 Burst results for "Connelly"

Fresh update on "connelly" discussed on The Rich Eisen Show

The Rich Eisen Show

01:42 min | 8 hrs ago

Fresh update on "connelly" discussed on The Rich Eisen Show

"Throughout the league. He could vowed for what the Nuggets are doing. And if somebody were to ask him like, say, you know a Paul George Or something like that. I don't know if Paul George and Paul Millsap have a relationship. I'm just saying a star player goes to Paul Millsap ins like Yeah. You know, I've been gained some calls from the Nuggets. I'm kind of looking at what you guys are doing. What do you What do you think about it? Paul Millsap could say no. This is they're building something sustainable. Really Good. It's a great culture love playing here. They needed that Jamal Murray as much as he may love the team or Nicole Yokich. At that time. There. It didn't mean anything. Who are they going to go out and recruit? Was any star player at that time going to listen to what Jamal Murray or Nicole Yokich had to say. No. But they might listen to Paul Millsap. It's the same thing with the Knicks and the Bulls. These have been bad franchises, much like the Nuggets were. Mismanaged. Revolving door at coach unstable. You don't know if winning was the main objective. For the Bulls Knicks and that Nuggets team. And in any league, especially the NBA, just winning some Doesn't make any difference. If the Nuggets make the playoffs without Paul Millsap, it doesn't suddenly make them that more attractive of a destination. Same with the Nixon. Same with the next they made the playoffs. Still not a more viable landing spot for any major free agent than they have been in years past. Doing a little bit of winning. Doesn't say anything. You have to continually Commit to it. And when you bring in players Like a DEMAR DeRozan. Or Kimball Walker. And you're constantly trying to get better. And we can debate whether Kemba Walker is how good he is. Or even to what extent he is respected around the league. But what it shows is We're trying to win. We're trying to do this, and we're making some Good decisions while showing that we're not afraid to spend a lot of money to Marta Rosen's gonna make $82 million With the Chicago Bulls. To get this team too. Six seed It doesn't seem like a lot of R O. I But it's a signal throughout the league that the Chicago Bulls Are ready to compete again. And they with our tourists leading the basketball operations with Billy Donovan as the head coach. They're trying to implement a culture in Damar DeRozan comes from two very good franchises. Toronto In San Antonio. He can help Billy Donovan and our tourist charter service implement the type of culture that they want with still a very young team with a young core of Zach Lavine. And now wants the ball guys who have been at times maligned. For maybe not being especially Lonzo, a winning player. The Bulls and the Knicks. Maybe aren't really going anywhere. With the guys that they've assembled. But if the Rosens presence makes Levin and ball become those winning basketball players if signing Kemba Walker makes the Knicks just a little bit better. And it's another notable NBA player that can vouch for what they are doing with Leon Rose and Tom Thibodeau. That it's not the Knicks that you used to know. They're committed. They're smart. They got the right people in charge. They got the right culture. You're going to want to come play here. That's what these teams are doing. Just like the Nuggets did with Paul Millsap. The difference here. Is that Even though Paul Millsap Did exactly what Tim Connelly wanted him to do. Exactly what the Nuggets signed him for. Paul Millsap did And to that extent Nuggets fans should be grateful to Paul Millsap for his time in Denver. Which appears now to be at an end. He did what he was brought in to do. The problem is no matter how good of a culture you have. How good of an organization you have your willingness to spend money. You're still located in Denver. The Nuggets have one of the best organizations in all of basketball. Smart. Management. And coaches that have the backs of their players. That put their players on a pedestal. They love their guys. The Nuggets love their guys. Is sometimes their own detriment. Right. If we're being honest, sometimes is to the Nuggets detriment on the court how much they love some of their guys. Maybe it took a little bit longer to make that big, splashy deal that they made with Aaron Gordon. Then you would have liked You take the good with the bat. But overall, the Nuggets are one of the NBA's best run organizations. In every aspect. They're still located in Denver. They're still not going to be a premier destination. They have the reigning M V P Who is one of the most unselfish and talented basketball players walking Planet Earth, and it still might not be enough ever..

Tim Connelly Nicole Yokich Tom Thibodeau Aaron Gordon Zach Lavine Paul Millsap Jamal Murray Kemba Walker Chicago Bulls Billy Donovan Damar Derozan Paul George Leon Rose Kimball Walker $82 Million Knicks Marta Rosen Denver Levin Demar Derozan
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

03:48 min | 2 months ago

"connelly" Discussed on The Paul Finebaum Show

"The best college football teams. That didn't when the national championship. All right. I told you we'd have some conversations. Were coming to you. The listener the fine bomb colored eight five five two four two seven. Two eight five year outstanding. Telephone calls are next and we're gonna hit some teams some rosters some depth charts. We might have to make some prognostications. Do all that next on the phones. You're listening to the paul. Finebaum show podcast. Well back to the finebaum show greg mcelroy riding with you today here. Wednesday may twenty sixth. Thanks for being with us. Look forward to getting to all of your wonderful telephone calls at eight five five two four two seven two eight five and who better to get. The show started off and to get the phone lines open with my dear friend. I'm an. I'm an what's up brother winner. Where where what do. I owe this special opportunity. I'm talking to greg mcelroy. The man a million words a million words. And i'll tell you use h every one of them proper in the senate's why don't you you spent thirty minutes doing your damn monologue coming on this program. I mean you from is from you takes his memories. oh you own. I was so moved. I mean move and then i really appreciate that comment only only if you play football yes kinda real special high school memories. I play football a do things. And you know what hayward just as good a memories as you did. Amanda you know what greg game wears out and you want to go make some real money. You go to work with me. And i'll i'll make you somebody you just kinda hang around. Walk around length like otis from you know on on on may when he goes to the sale and we walk out on stage. Now set you on stewart. Walk behind you this i. I managed howdy doody. And you just use the million works. And i tell you if he told them that texas story you have eight out of the palm of my hand there you go we you know gray i tell you what you do and outstanding job on on the play by play things the color part of it shit but you just won't shut up sometimes and i tell you what you but i lack. You know i like you but but you realize you do realize and i love you. You know i love you. You do realize. I am hosting a radio show. My job in all actuality is to talk. It's one of those words very slowly couch four hours term. Because you wouldn't use them all. But i get an. Hey there i get paid by the word. Bayer's believe you probably get paid big way big money for them words and if you throw spares in their way he's the one that you get to a point i i do. I'm listening to your and you bring this guy on and what's the first thing that you gotta you gotta mention auburn you know. Auburn is in the bammer better than any other team in this country. You know why because all you have to play the architects there ain't no getting around the stay alabama the legislatures lawmakers. The governor's the keys the members of the kwan's clip. They just not going to let you do. Y'all were forced to play the auburn tigers. And we'll play the auburn tigers for the rest in naturalized and that's all there is to it but back to this monologue thing greg i tell you i love when you when you're on the game and you're telling me what quarterbacks think you're.

Amanda Wednesday may twenty sixth thirty minutes today greg mcelroy Auburn first thing texas auburn eight eight five five two four two s otis a million words paul greg game eight five five two four hours alabama national championship five year
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

06:34 min | 2 months ago

"connelly" Discussed on The Paul Finebaum Show

"Five. I also feel as though this program. Mike so many others is star for college football. I think all of us here with just under a hundred days till the kickoff in week zero we're started diving into rosters so i think what's going to be important is well. Yes we will hit some of the bigger topics of the day and i l. will hit memorial day weekend. We'll hit a lot of other things. I also want to dive. And some rosters and i hope you the wonderful listeners will chime in and help steer the ship because i know that there might be a team out there. I wouldn't naturally go to. But if you wanna talk about the colorado buffaloes here and may let's ride i gotta do is call in at eight five five two four two seven two eight five so we look forward to allowing you to steer the ship at various points throughout the show so we can make sure that we get to your team if you wanna talk a little bit about that team. One thing that. I think you're all going to really look forward to. It's about two hours from now we're to get to it. There's a lot of programs right. Now that are downtrodden feeling bad about themselves feeling as though the sky is falling and yet they don't realize just how close they might be back in the driver seat in their division and potentially in the driver's seat for potential college football playoff berth. You don't realize just how close you are. And i'm gonna give you several examples from the power five at five o'clock eastern time of teams that went from the outhouse to the penthouse very very quickly so just news and notes. See you know if you're tennessee. You might wanna listen. And five o'clock eastern time just saying because i have a feeling at five fifteen eastern time. You're going to feel pretty good about where you're at just a little spoiler but just telling you all right hang in there. We'll get to it here. In a couple hours got bill connerly of espn dot com joining us here in about ten minutes and talk about some of the best teams. That didn't win a national championship. And in my news and notes. We of course have lsu and eleven and mark. Kubiak the diehard notre dame homer decided to include notre dame ninety three. So we'll get to those amongst many others several of which are from schools located in the southeastern conference footprint. I want to start the show however buy something buy get into something that's close to my heart and when i say close to my heart like it pains me. It makes my skin crawl. It honestly makes me sick to my stomach so they all of us look back. Everyone is listening to this program. I'm sure most of us. Maybe not all. Don't wanna say all. I think most of us look back and probably have power to guess pretty fond memories of their high school experience. I don't know if everybody does. Maybe some people hate their high school experience. I don't want to speak on your behalf. But i think a vast majority of us especially those the played sports we all kind of had fond memories of her high school experience. Well jaden blue not to single out any one individual player. Because i think he's the first of what could become a disturbing trend. Jane blue is one of the top players in the two thousand twenty two class as of right now he's planning on attending the university of texas. He's an outstanding running back from klein kane high school in houston texas and he made the difficult decision just a few days ago to sit out his senior year of high school in an effort to be better prepared for his college and future. Nfl experience potentially now hang on. Saying i was saying. Let me. just get this right as wanna make sure. I'm hearing this correctly. Because last time i checked running the forty is that equitable to improving in. Football is training on pro agility and doing drills. Is that help you improve. Because i feel like maybe it's just me. Football is not like basketball. I can't grabbed my ball and go shoot around in the gym for five hours and come out a better player. Football's not like baseball. Where i can go set up a net put a ball and a t and work on my fundamentals as i crank one after another off the tee and into the net. Football's not like soccer where you can put a ball in dot that god knows how many yards away from the goalie or keeper. Whatever the heck they call it. I don't know soccer that well. It's no disrespect. I just never played it. But i can't hit the corners. Upper right ninety upper left ninety. Bottom right ninety. I don't care. But i can practice shooting right like i can practice my shot. I can practice bending if you will. Football's the only sport that you literally cannot simulate so last time i checked the best way to improve as a football player is to actually play football unless i'm some backwards old school minded person. I feel like skipping out on your senior year. Not only is it disappointing to the fact that you might change the championship but you might miss out on opportunities to potentially improve and you can tell me about catastrophic. Injuries was just. I get that. I totally get that. And that's why the decision is being made and this is not a knock on the running back out of texas. I said his name earlier. Don't want to say it again not necessary because it's not an attack on him. It's an attack on the idea.

jaden blue Mike Jane blue five hours texas five o'clock eastern time houston texas Kubiak about ten minutes Five ninety notre dame homer five fifteen eastern time forty notre dame first two hours One thing university of texas klein kane high school
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

02:49 min | 3 months ago

"connelly" Discussed on The Paul Finebaum Show

"Judge mentioned. Maxine waters the congressman from california's. All your pretty good attorney. I know that. Why didn't they sequester this jury. They only sequester when they went into deliberations sequestered them from the very beginning. You got the venue i agree. I thought the judge said something that was simply not believable. When when he said He he he walked out. He walked at argument both ways and he said as i've it as i told the jury repeatedly not to watch the do so i'm going to i mean that's the most ridiculous thing i've ever heard yet to review. Just take one talking head just the power phrase. It wolf. Blitzer said the other day. The jury must convict or they should convict. That's the most ridiculous thing i've ever heard of. You know what i think. The story of the secondary story. This day will be jack Obviously we all know the the main lead but it's to me it's the media reaction the other thing too is in my whole career Minnesota's a little bit unique. They have these fuzzy laws. And even some very very good attorneys. That are very prominent. Buckley from george mason that some of their statutes that they charged on here the three they threw against the wall or very murky at the very least far as what. You can be convicted based on the evidence and so forth so what they did was. They threw three things up against the wall coping. At least one of them would stick but the best legal minds are saying. He can only be sentenced on one of those charges. Obviously it's going to be the highest water but it isn't going to be consecutive ten years fifteen twenty and rent rent them all together so i think we gotta watch the appeal. We got to watch the sentencing and I don't know If juries do the sentencing in minnesota in a lot of other state yeah remember That's a good question As you well know Yeah that's obviously a state case. It's it it would a lot of places the jury does the sentence but You're you're i have no idea on minnesota. We'll know by the end of the day. I don't know is to when you get up to the appeals process. Obviously he's not gonna win anything. Any appeals process minnesota. It's gonna have to get into the federal system. And what i other thing i don't know is are the judges in minnesota elected you know about twenty seven of our states are they are well then. Then you know you're gonna throw politics into that all the way up the line whether we like it or we don't like it and i'm not saying that's bad or good but these people that are against qualify. Celebrate right now they just ought to just sit back and i think they should just be quiet because some of.

george mason Blitzer california Buckley both ways minnesota Maxine three Minnesota ten years fifteen twenty forth about twenty seven one of three things one talking head one of them our states least charges
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

05:04 min | 3 months ago

"connelly" Discussed on The Paul Finebaum Show

"Talk backup. That's that's been the case with the super league idea to begin with. So i don't wanna say won't happen but it's definitely. The moment passed to a certain degree. I think it's gonna be a while till we circle back around to that the big twelve and tax aren't gonna merge anytime soon. The big twelve has survived a certain level of vulnerability And and the other conference is merging. Either so yeah. I think at this point. We're we've got our five power conferences. There's a chance of course that we ended up going down a road where those five power conferences split apart from everybody else. We've obviously talked about that a lot. But it won't be quite as clean and quite as simple as some sort of four super conference deals. I don't think and i ask you pretending to be naive. What what do you think would create that break. What would finally 'cause the power five to say. You know what we're done. We're we're we're moving on. We're going to play with our own ball. I was really curious about where with everything that happened this last evening whether that would generate some sentiment in that direction because part of the reason the super league on the soccer side came back up now is because all those superclub locked money like a lot of money and this was a way of generating a better tv deal and maybe making some of that money back after everything that's happened in the last year. Slow something like that where everybody suddenly realizes okay on arteries at great and we liked the circle of life or whatever jimbo fisher called it with sds and all that you in an emergency when you start looking after after bit mainly yourself. That's when you start to look for ideas like this so if it didn't happen in these last say four months i i it probably will be a while before it happens because i on emergency like that a a situation where everybody suddenly lost a lot of money. That's a perfect time to bring it up. Nobody did i ask you another naive question. Considering where we both work. why not. why why. Why was there not more of an appetite. I i don't know. I'm glad there wasn't i. I'm i the bigger the boat the better. I'm all for it. I mean. I said on your show that i thought. Cincinnati should be in the playoffs. So of course. I probably think this way but You know it is kinda curious because the tv money would be there But i i don't know i don't think anybody necessarily enjoy i don't wanna say they didn't enjoy a ten game. Sec schedule but there just wasn't as much pollination as normal. They're a little of that. But i think we got a taste of something different and down that would probably like the old The way that we had it quite a bit. I hope that's what i you know. Maybe we're planting the seed right now and it's somebody's gotta bring it up here in another month or so but Hopefully it's it's. It's because of good ideals we just like the way we had a whore twenty twenty. Always good to have you on bill. Thank you be well. Sorry about the news from europe today. Yeah no problem. Thank you very much. I'm gonna go to the break in. I want to quote jumping here. That i just saw in and again i want to recap and i realize those of us in sports we do live in a bubble and you know there are many times when it. It's a good bubble to be in. It's it's safe but ultimately we have to come out of it and see what's happening up and down the dial and about an hour ago. The jury came in in minneapolis and in chauvin case Fa finding him guilty of all three accounts and he has been remanded into custody and barring an appeal that he certainly Is entitled to thanks to the constitution He will not be a free man for a very long time. This is also This case which happen memorial. Day with. George floyd sparred spurned. Excuse it it sparked. I'll get word right. You know one of the most Extraordinary summers of any of our lifetime. It was the Most reactive civil rights case in in in in in more than a generation. It also has brought sports into this conversation and this is where we spent a lot of time last summer having in my mind some of the most awkward but satisfying programs. That that we've ever had. I will i will say in just a host but but but they were. They were nights. When it was both heartbreaking and do you own or rent your home share you..

minneapolis europe last year today four months George floyd both ten game jimbo fisher last summer five power conferences twenty three accounts Cincinnati about an hour ago last evening four money conference deals five
Pressure Builds Over Restrictive Voting Bills in Texas

NEWS 88.7 Programming

02:15 min | 4 months ago

Pressure Builds Over Restrictive Voting Bills in Texas

"Prominent Texas corporations this week joined the call to protect voting rights, and that drew a verbal tirade from Governor Greg Abbott. We have American airlines, we have a TNT. We have a Dell computers away and others who have taken a position against the election law reforms we met in the state of Texas work, the C E O tzar of these companies and the leaders of these companies admitted. I had no idea what the Texas lost said, or whether Texas proposed law say before taking a position against it. They need to stay out of politics, especially when they have no clue what they're talking about. Grassroots opposition to these bills continues to grow on Thursday about 100 voting rights activists gathered outside the 18 T corporate headquarters in downtown Dallas. As Kate, You're raised. Christopher Connelly reports. It's part of a statewide campaign to pressure corporations to oppose Republican bills that would make it harder to vote. The activists want to send a message stand on the side of voting rights or be party to an ugly new chapter in Texas history. So why? No Pastor Freddie Haynes of French of West Baptist Church says Over the summer a TNT declared that black lives matter. But now the company's failing to support black people's right to vote right now. In Texas voter suppression is going on in the name of voter integrity, but all of us ain't fallen for the okey doke because we recognize It has ugly Route A TNT released a statement saying the right to vote is sacred and calling it the single best way to ensure everyone's voice is heard. It didn't mention the sweeping GOP bills, which would limit early voting band drive through voting and make it a crime to proactively send out vote by mail applications. Jane Hamilton is from the Barbara Jordan Leadership Institute. This is not a time for any corporation to sit on the sideline for Worth based American Airlines and round Rock based Dell Technologies have opposed the legislation. If the activists have their way. Morte, CSIS companies will follow suit. I'm

Texas Governor Greg Abbott TNT Christopher Connelly Pastor Freddie Haynes American Airlines French Of West Baptist Church Dell Okey Doke Kate Dallas Jane Hamilton Barbara Jordan Leadership Inst GOP Dell Technologies Round Rock Csis
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

09:17 min | 4 months ago

"connelly" Discussed on The Paul Finebaum Show

"Here. Great to welcome back to the program our good friend bill conley who has another list He's was here a couple of weeks ago with a quarterback. Now he's done a list of the eighty defenders of two thousand of the two thousands. Hello bill thank you. We've shared your list a couple of times today but we'll put it on the screen again. The least your top ten if you want to read the whole list of course it's available But always interested in how you do this I've asked you before but this is little different though. This is not as quarterbacks or wouldn't say they're easy but they're easier than defenders What was your process. Yeah easier to pull the lifting their leafs tv through its heart bake that decision. Now this one. Yeah yo you had to create a defensive end. List and a tackled list. And a high becker listed setter to start. I mean terry. Pull in all of american lists and tackles and tackle philosophers and all the different things award winners There was a bunch of of different lists that you ended up mashing together into one at the end. So su su i read mac donald david pollack roy williams the honey badger peppers in johnson. Let's talk about the i ten and then we'll get to the rest of it was it. Was it a close call number. One doesn't seem like really all that hard right. I mean i the end. I think i could have written a pretty good justification for really any at the top guys being number one but i just. I've never seen a defense constructed around one guy really good defense constructed around one guy the way nebraska crafted that defense pursue that year. He was absolutely incredible. He was just such an intimidating presence. and and. I haven't gotten i haven't gotten as much pushback without one as i did for for baker. Mayfield at the top of my quarterbacks list that's understandable I mean this is more difficult. Because you're you're having to really These these guys are all great you. They're not they're not really top of mind. Like like some of the quarterbacks what have you heard from the paying public so to speak. I one day. I knew i would hear about events. Put up the when i put the list together start was. I had a lot of problems. Trying to differentiate between great alabama linebacker one and great alabama linebacker to they've had so many high quality linebackers who didn't put the stats up that these other guys did because it have to the trying to figure out what to do with them was really hard and and i i don't think any linebackers pacific paid they the the final aid even plenty of linemen and defensive backs or whatnot. So that was i do. I yelled at that. And i did. And i can justify. Just because the linebackers i picked with great but it was particularly hard to figure out how to give the out credit per for alabama defense excessive this last decade or so not to me nitpicking. But judeh beyond cloudy at thirty nine. Yeah why yeah. I mean that was. I tried to separate the recruiting hype from the actual production from the nfl production. And all that. And i mean he had one absurdities At south carolina two very good one but when you put career numbers for him next to all the other events that were around him but they really weren't that different than so i think. Just the memories of it's ridiculous is is most ridiculous play. That's certainly factored in but I really try like knowing what what a recruit he was. Knowing how hard his biggest hits works i try not to let that dominate the overall my overall impression. I've just kind of fit in with a bunch of other guys in the end in. And i'm not being a home a home here but eric berry sixteen it just say he only played three years but matt he could have been anywhere with the number of state was or the the top safety were were. It was this is such a fun list. Put together just to relive some of the career. But yeah trying to differentiate between him and paula. Malu for one right there next to each other You know Jim leonard now wisconsin defense coordinator at twenty something interception. Sean taylor was right there It was it was a fun list to try to argue with yourself about but i will say As far as berry being at sixteen fifteen thousand. Four hundred good That that will be my one defense right there. Yeah i am. I correct a josh allens. You're highest rank alabama player. I believe so yeah. He stood out to me because he was so disruptive at a position where alabama. Really ask you to be. All that disrupted the fact that he was able to be such a pass rusher with his size and everything else. He stood out to me in that regard but again. I'm pretty sure i get yelled at for some of the some of the linebackers. I didn't pick that high. You had quinton williams seventy six realize. All of this is being nit-picky here. Patrick peterson seventy one. That just. I don't know why that seems really low. Yeah no doubt one within they went to just because again when you look at career step contain with the guys that followed him. It almost forget How good he really was it. It didn't necessarily reflect the stats themselves. Those guys in particular where they didn't necessarily have the staff the backup compared to everybody else in. It's hard to out where to place in the mink if it's patrick. Forty-seven that's another one. We've already heard a little bit about today. I heard both with it in their title. There in the thirties up hurt both end up the rate on that and i think safety go hard to judge especially You know the guys who aren't laying thirty eight huge hits the game but He was like three interceptions stuff. Like that wasn't to go make play. There was to it to clean up methods in those those guys We're pretty hard to judge to. I do think he got nick. Fairley right i mean. He's he's an under appreciated player because he played with cam newton but but man he was he was brutal. Yeah he he his dad his final year. We're actually better than students. Which kinda surprised me. I've forgotten that they were that ridiculously. Good yeah he. He probably fell a little bit for being more like a one year guy for the most part but that year i mean we always talking about how cam newton carried that team or whatever the offense he had helped when it came to the stop. That fairly was making on defense. Glenn dorsey for those of you. Wondering number twenty point on national championship team. I mean as you bring these names up. They're all great. This is not like this is this is like getting the you know the ten. The eighth grade is rockers. From from the sixties seventies eighties and nineties. And saying i wonder. I mean we know who the top ten are but after that it's like reach in there and grabbed one out. It was the jarring part to me. I just didn't think alike. It's been twenty one years in twenty-first-century that's a lot of awards You know. Dorsey swept a lot of the defensive awards in barely made the top twenty five a lot of guys who wanna get even make the list that was those. I just hadn't thought about that. I thought you know when you put together a really good resume you're kind of a slam dunk. But in the end there are about one hundred twenty slam dunks for eighty person list. What is your next project done with this or are there still still dirt dirt to plow their. You know we haven't really gone that far down the team's road. I did a rankings piece around the playoff rankings. Playoff team today. We haven't done much with coaches yet really. I mean i yelled at a lot but these are fun pieces to right because of the amount of history you could pull in and so i do think there will be more. I'm not sure what the next one will be. We'll probably switch gears to the draft here a little bit But yeah the these are really fun to write and it seems like people enjoy reading for the most part tip enjoy complaining about it Bill but You you become a regular target here. Yeah nothing there's nothing. I don't take the personals. I got mad at myself. Usually for the most part. So it's all part of the game. I guess as long as you rank the eighty eighty best sports talk show host of the last twenty years. I'll be happy. Hey thank you for being on look you back when whenever the next one comes out down good you gotta bill comedy joining us with the twenty defensive stars. A or the top eighty. I should say the last twenty years. We'll take a break more of your phone calls. Eight five five two four two seven two eight five. You're listening to the paul. Finebaum show podcast. We are back. And james is up next to james welcome. Oh how you making it today..

Patrick peterson Sean taylor Jim leonard james three years bill conley Dorsey eric berry Four hundred Glenn dorsey patrick thirties bill eighty defenders Forty-seven josh allens two thousand sixteen today twenty one years
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

02:36 min | 5 months ago

"connelly" Discussed on The Paul Finebaum Show

"It's a little tricky. I've been doing it for forty four years. Paul whatever i'll i i feel pretty safe because all these new drivers you know they go fire truck. Stop then i feel good about it. Because i don't have to contend with all them hear you will you be safe out there in the stay in touch. Okay right You take care of yourself. donny is up next in arkansas. Donny yes mr ball so great to be on your show. Love it very much. So other than arkansas razorbacks kicking but never sport right now Do you think that puts some pressure on sam pitman to to do something good next year. 'cause i mean you know everybody's called that everything you get it But you know it's the first time in a long time. I think you know in my lifetime and i'm thirty. Excuse me forty. Three years old That that the hogs are just like on top of everything basketball baseball softball track field every sport you can think of saying but already one thing we're missing is football. We gotta we gotta get back to that on football too. And and and. I'm i'm just saying dan pig. I loved him how Let me answer the question. this way. no i don't. I don't think there's any pressure on sam because i think he's already exceeded expectations. He took over a disaster. And he he he. He carved out eight win. Three wins this year which to me felt like seven or eight because there were a couple of close calls so i think i i think he has universal support and i fully expect him to improve the product and get to a bowl game soon. And and you know i i. It's great at arkansas. Is doing so well but You know basketball baseball. All these other other sports were with the hogs are being successful are not comparable to what he inherited. Yes i agree with you. One hundred percent call. Thank you very much So okay we have thirty minutes ago you want. You can take it any way you want. We've had cease so hurt on talking about alabama basketball alex berenson on a book and covert which was very interesting if you heard him We had bill conley on and migra th on the georgia conundrum so Thirty minutes remaining phone lines are open right now. If you want to grab one before we go off the air.

donny Donny arkansas Paul Thirty minutes bill conley thirty forty next year thirty minutes ago seven sam pitman forty four years alex berenson first time Three wins dan pig eight this year One hundred percent
"connelly" Discussed on The Paul Finebaum Show

The Paul Finebaum Show

01:43 min | 5 months ago

"connelly" Discussed on The Paul Finebaum Show

"Let me I think this gentleman called in earlier and there was a lot of confusion. And i thought i understood him correctly. But thomas is back to clarify. Thomas welcome back. Hey paul let me clarify. I meant nick sabin first. Five years is a head coach at alabama is a head coach. I can't believe i'm having to clarify this. But that's what. I tried to fight for you but that I don't think fans quite bought it. No they didn't and only also too. I will mention as well. Yes kirby did in here at eight ten win team but ten win team did not win ten games. Kirby's first year georgia. It was the next year where they've Won thirteen games and loss team. You're right And and Nick sabin You know his head coach. He's a indiana out at michigan state. So just want to clarify that for you. Paul thank you very much. I'm glad you got in We appreciate you doing that. I was pretty sure that's what you were saying. Let's checking with dan who is up next in arkansas. Hey dan hey paul how you doing. We're doing really well are great. I was just calling about the list of quarterbacks guy got there and just I know he did say that he would have back out there in the mid to later sixties. But i just don't think he's being really consistent with with that because if you look at backs career he had obviously a longer career not just a one year flash in the pan career and so we can scratch that argument off the list What he did.

Paul thomas Nick sabin Thomas nick sabin paul arkansas kirby thirteen games ten games Kirby dan next year Five years michigan first year one year mid to later sixties first ten win
Dominion Voting Systems sues MyPillow CEO for $1.3 billion

All Things Considered

00:26 sec | 5 months ago

Dominion Voting Systems sues MyPillow CEO for $1.3 billion

"Energy market. I'm Christopher Connelly in Dallas Dominion voting System says It's found at $1.3 Billion defamation lawsuit against the My pillow guy. Lawsuit alleging the head of the Minnesota based Pillow company, Michael in Del, falsely accused Dominion of rigging the presidential election. Ignoring repeated warnings from Dominion to stop two million, also accused Lindelof repeatedly telling with soup First was the big lie. And with that the company somehow

Christopher Connelly Pillow Company Dallas Minnesota DEL Michael Lindelof
Why Some Texas Residents Now Face Huge Electricity Bills

NPR's Business Story of the Day

04:00 min | 5 months ago

Why Some Texas Residents Now Face Huge Electricity Bills

"Think for a moment about that. Famous survey suggesting that many people would struggle to pay an emergency expense of even a few hundred dollars now think about texas where some people suddenly have utility bills in the thousands of dollars. It's a side effect of last week's storm that overcame the power grid. People who managed to keep their power are now paying for it. Christopher connelly is with member station k. e. r. a. in and joins us. Now good morning. Hi steve what's an example of the kind of costs that people face right so well. I talked to shannon mars. She has one of those big bills. She lives in frisco which is a dallas suburb with her husband. Mike and three kids in january. They paid two hundred fifty seven bucks for electricity and as of saturday. The families electric bill for the month of february was ten thousand one hundred eighty dollars and seventy six cents during those real. Yeah during those really cold days last week. The marches were paying one or two thousand dollars a day for electricity shannon. Maher said it makes her sick to her stomach to think about it too awful and there's nothing you can do and i've been really stressed about it and ten thousand dollars is a ton of money. I guess you gotta explain the texas system here. Because i get a utility bill. I pay the utility bill. I don't even necessarily know what my costs four day is. How does this even happen right. So this is wonky but but bear with me here so. Texas has a deregulated market for electricity. It is designed so that when there's a shortage of electricity of the price will go up in power. Companies will have an incentive to generate more electricity that deregulated market also for the sale of unusual policies. Like the ones. The mars is have plans with variable rates for electricity and those are the customers who are ending up with these sky high bills. The mars family spent hours trying to switch to a different company last week to find one with a more traditional fixed rate plan and normally they would be able to do that but the storm made that impossible so they were just sitting there watching the charges on their credit. Cards rack up. Does this suggest that this deregulation doesn't work well. It works great when the weather's good but you know it appears that there weren't market incentives in this market system for power providers to make sure that they were prepared to weather a massive winter storm. There have been warnings about that for years. Actually and the system broke down almost exactly like this about a decade ago. You know the other issue that we're seeing is that. The deregulated system assumes that consumers will fend for themselves that they'll find electricity plan where they won't get hosed if a big storm rolls in cable weight from the consumer rights group public citizen says. That just doesn't really happen. In reality people have a lot of different things tugging at their attention and their bandwidth and so a lot of our economic decisions are actually made on autopilot and therefore all these theories like that. We will shop for the cheapest and best plan for ourselves. They don't play out state trying to help. Now yeah so. There will be hearings looking into the issue. This week governor greg. Abbott says no one should have to pay these exorbitant bills and yesterday the public utilities commission temporarily blocked companies from sending out bills or shutting off customers power for non-payment abbots also saying that the state will force power plants to weather is so they're prepared for the next storm. I got to say this. Level of government intervention feels anathema to the way republicans have governed this state for decades. But there is so much political pressure right now to make changes because even as people are just starting to repair burst pipes and get the water running again. Christopher colleague of kera. Thanks thank

Christopher Connelly Shannon Texas Frisco Maher Dallas Steve Mike Governor Greg Public Utilities Commission Abbott Christopher Kera
Imprisoned ex-FBI agent who worked with Boston mobster Whitey Bulger seeks release

WBZ Morning News

00:48 sec | 6 months ago

Imprisoned ex-FBI agent who worked with Boston mobster Whitey Bulger seeks release

"FBI agent John Connolly is asking to be released from prison on medical grounds. Connolly is serving 40 years for warning former Boston mobster Whitey Bulger that he was about to be implicated in a mob hit. Connelly will ask the Florida Commission on Offender Review Wednesday to release him, his lawyer tells The Herald is 80 year old client has melanomas and diabetes that Connolly was convicted back in 2008 of second degree murder after a mob hit man. Killed. Uh, A, um, A, uh John Callahan in Fort Lauderdale. Excuse me. Trial Evidence show, Connolly tipped a bowl jer that Kellyanne was about to implicate culture in another killing.

Whitey Bulger Connolly John Connolly Florida Commission On Offender FBI Connelly Boston The Herald John Callahan Diabetes Fort Lauderdale Kellyanne
Mitchell makes layup with 7 seconds left, Jazz beat Thunder

AP News Radio

00:38 sec | 7 months ago

Mitchell makes layup with 7 seconds left, Jazz beat Thunder

"Donovan Mitchell capped a twenty point performance by hitting a go ahead layup with seven seconds left to send the jazz past thunder one ten one oh nine games are going to be he's a block away everything about forty these are games that we have to win we came out and did that and you know the father was not to go in the end of the day it's just effort on defense and continue to be active boy and Bogdanovich scored twenty three points to my Connelly added twenty with ten rebounds and nine assists J. Kilgus Alexander had twenty three points and seven assists for the thunder but he missed a driving layup at the buzzer you test up to seventeen game losing streak in regular season road games against the thunder and that includes the Orlando bubble last season I'm very very

Donovan Mitchell Bogdanovich J. Kilgus Alexander Connelly Thunder Orlando
US vaccinations ramp up as 2nd COVID-19 shot nears

AP News Radio

00:55 sec | 8 months ago

US vaccinations ramp up as 2nd COVID-19 shot nears

"Another covert nineteen vaccine is on the brink of getting federal authorization the food and drug administration says a preliminary analysis shows the vaccine from Adora and the national institutes of health the is both effective and had to safe outside advisers are expected to recommend the vaccine this week putting it on track for authorization soon after it would join Pfizer's vaccine which is being administered at hospitals nationwide we really now starting to see the light at the end of the tunnel that is going to ultimately get us through this the first Pfizer shots are being strictly rationed to health workers and the elderly but at ABC's Good Morning America Dr Anthony Fauci said it's important to vaccinate president elect Joe Biden and vice president elect Connelly here is as soon as possible for security reasons he says president trump and vice president pence should get the shots to solder mag ani Washington

Adora Pfizer Food And Drug Administration National Institutes Of Health Dr Anthony Fauci Elect Connelly ABC Joe Biden President Trump America Ani Washington
In pitch for Biden, Obama urges voters to vote Trump out

AP News Radio

00:48 sec | 10 months ago

In pitch for Biden, Obama urges voters to vote Trump out

"Former president Obama has leaked into his successor urging voters to back his former vice president Obama says president trump has treated the office like a reality show just another way to get attention this is not a reality show this is reality and the rest of us have had to live with the consequences of him proving himself incapable of taking the job seriously outside the Phillies ball park in Philadelphia the former president targeted disillusioned voters with the reminder that America is a good and decent place that decency that belief that everybody counts that's true joy is saying by demand Connelly here is can lead the nation out of dark times Sager made Ghani Washington

Barack Obama Vice President Donald Trump Philadelphia America Connelly Sager Ghani Washington President Trump Phillies
Trump to rejoin campaign trail less than 2 weeks after contracting COVID-19

Mark Mason

00:38 sec | 10 months ago

Trump to rejoin campaign trail less than 2 weeks after contracting COVID-19

"Event at the airport in Sanford, Florida today and other events around the country each of the next few days as he gets set to head back out on the campaign trail President Trump telling supporters Sunday night. And tested totally negative. But there's been no evidence to back that up from the White House or the president's doctors. Doctor. She's Jardine of Brown University School of Public Health on ABC is Good Morning America the communications Connelly's pretty consistently confusing when he he sort of does not come out and just tell us exactly what's going on. He should let us know if the president has tested positive for native Karen Travers. ABC NEWS Washington The highest rise in Kobe

President Trump Jardine Connelly ABC Karen Travers Brown University School Of Pub Sanford Donald Trump Kobe White House Florida Washington
Bostonians Rally to Extend Moratorium on Evictions

WBZ Afternoon News

00:58 sec | 10 months ago

Bostonians Rally to Extend Moratorium on Evictions

"Are nervous that the pandemic of eviction moratorium will expire next weekend. The large rally took place downtown today as W. B. C's match here reports to state Rep. Mike Connelly, the threat of eviction hits close to home over is in public housing, and I'm a lifelong renter. And I'm here to stand so already with all of you because I'm sorry to say that evictions equal, he's go sponsoring a bill that would extend protections for fellow renters in Massachusetts. Current pandemic Eviction moratorium expires later this week. Supporters rallied on the common today, including Boston City councilor and mayoral candidate Michele wound. It's not only possible to transform how we've been thinking about our system is not only possible to reimagine safety, stability opportunity for It is absolutely necessary to meet this moment. There's currently no scheduled vote on Connally's bill. Demonstrators are calling on their elected officials to change that match Your W.

Rep. Mike Connelly Connally W. B. C Boston Michele Massachusetts
Questions remain about Trump’s health and return to the campaign trail

Freakonomics Radio

00:54 sec | 10 months ago

Questions remain about Trump’s health and return to the campaign trail

"The White House doctor says President Trump is no longer considered a transmission. Risto others NPR's Franco Cardona's reports on the latest update from Dr Sean Calmly, Dr Connolly says the president has met CDC criteria to end his isolation. He says the president after 10 days and symptoms first appeared has remained fever free for over 24 hours, and that there is quote no longer evidence of actively replicating virus. Dr. Connelly doesn't specify that President Trump tested negative for the virus. Doctors memo comes as the president prepares an aggressive returned to the campaign trail after having been hospitalized for the Corona virus. The president is down and most major polls and his campaign is eager to shake things up. After hosting an event at the White House. The president plans to hold rallies in the coming days in key states, including Florida, Iowa in Pennsylvania.

President Trump Dr Connolly Dr Sean Calmly White House Franco Cardona NPR Dr. Connelly CDC Fever Florida Pennsylvania Iowa
Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

Scientific Sense

44:57 min | 10 months ago

Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

"Welcome to the site of accents podcast. Where we explore emerging ideas from signs, policy economics, and technology. My name is Gill eappen. We talk with woods leading academics and experts about the recent research or generally of topical interest. Scientific senses at unstructured conversation with no agenda or preparation. Be Color a wide variety of domains red new discoveries are made. and New Technologies are developed on a daily basis. The most interested in how new Ideas Affect Society? And, help educate the world how to pursue rewarding and enjoyable life rooted in signs logic at inflammation. V seek knowledge without boundaries or constraints and provide unaided content of conversations bit researchers and leaders who low what they do. A companion blog to this podcast can be found at scientific sense dot com. And displayed guest is available on over a dozen platforms and directly at scientific sense. Dot? Net. If you have suggestions for topics, guests at other ideas. Please send up to info at scientific sense dot com. And I can be reached at Gil at eappen Dot Info. Mike yesterday's Dr Mark Hoffman, who is a research associate professor in the University of Minnesota Against City. He is also chief research inflammation officer in the children's Mussa hospital in Kansas City. Kiss research interests include health data delayed indication sharing initialisation Boca Mark. Thank you for inviting me. Absolutely. So I start with one of your papers Kato you need the use by our system implementation in defy date data resource from hundred known athlete off my seasons. So Michio inflicted. Data aggregated for marketable sources provide an important resource for my medical research including digital feel typing. On. Like. Todd beat to from a single organization. Guitar data introduces a number of analysis challengers. So. So you've worked with some augmentation log and in almost all cases be used. Data coming from that single macy's listen primary care behavioral. Or specialty hospitals and I always wondered you know wouldn't be nice. Get a data set. That sort of abrogates data from the radio on-ice. Asians but a lot of different challenges around that. So you wanted to talk a bit about that. I'd be happy to the resource that we've worked with. Is primarily a called health fax data resource. It's been in operation for almost twenty years. And the the the model is that organizations who are. Using these Turner Electronic. Health. Record. Enter into an agreement was turner they agreed to provide data rights to sern are. The identifies the date of affords aggregated into this resource. And certner provides data mapping, which is really critical to this type of work. It also the aggregate the data. And for the past probably six years. Then, they provide the full data set to especially academic contributors who want to do research with that resource. And I've been on both sides of that equation Lead that group during my career there, and then now I have the opportunity to really focus research on that type of data. So before we get into the details smog so e Itar Systems. So this is. Essentially patient records. So he gets dated like demographics out family history, surgical history hats, medications, lab solves it could have physician nodes no snow. So it's it's a combination of a variety of different types of data, right? A couple of things on the examples you gave it includes demographics. Discreet Laboratory results Medication orders. Many vitals so If access the blood pressure and pulse data. It does not include text notes because those can't be. Automatically identified consistently. So. We don't have access currently to TEX notes. Out of an abundance of caution. That his Hobby Stephen, physician writes something down they could use names they could use inflammation that could then point back to their. Patients Makita Perspective been the data's aggregated, the primary issue shoe that date has completely the identified, right? Correct. So. So yeah. So the data that we receive there's eighteen identifiers. Hip requires be removed from data. And those include obvious things like name address email addresses are another example One of the. Things. That is also part of the benefit of working with this particular resource. The. Dates of clinical service are not allowed to be provided under hip. White is done with this resource that allows us to still have a longitudinal view is. For any given patient in the data set the dates are shifted by A. Consistent. Pattern that for any given patient it can be. One two three four five weeks forward or one, two, three, four or five weeks backward. But that preserves things like day of the week effect. So for example, you see -nificant increase in emergency department encounters over weekends and you don't WanNa lose. Visibility to that. but it also allows us to receive. Very, granular early time stamped events in so. We can gain visibility into the time that a blood specimen was collected, and then the time that the result was reported back. And so we're able to do very detailed analyses with this type of resource. Right right and I don't know the audience our market is fragmented. Tau himself e Amorebieta providers out there. and so two issues. One is sort of. Standardization as to how these databases are designed and structured and others even that standardization that the actual collection of the data. In itself is not standardized played. So vk CAV vk potentially lot inability coming from different systems. Correct and that's part of what the paper that you mentioned Evaluates so. Often, night you out in the field in conferences you hear. Comparisons kind of lumping all organizations using one. Vendor lumping all using another together but as you get closer to it, you quickly learn that. It's not even clear. It's within those. Vendor markets. There's variation from organization to organization in how they use the e Hr and so. Because the identities of the. Contributing organizations are blinded to those of us who work with the data. We have to be creative about how we. Infer those implementation details, and so with this paper, we describe a couple of methods that We think move things forward towards that goal. Yes. So I'm not really familiar with that. So you mentioned a couple of things here. One is the the merge network. So this initiative including electric medical records and genomics network and pc off net the national patient, centered clinical research network support. Decentralized analyses that goes disparate systems by distributing standardized quotas to site. So this is a situation where you have multiple systems sort of. Communicating with each other and this net folks at allowing to sort of quickly them In some standardized fashion. So In this type of technology, there's janitorial core models. One is the. Federated or distributed model, the other is a centralized data aggregation. So there are examples including those that are mentioned in the paper where. Queries are pushed to the organization and. They need to do significant work upfront to ensure that there are standardizing their terminologies the same way. And once they do that upfront work than they're able to perform the types of queries that are distributed through those. Federated Networks. With. Okay. So that just one click on so that the police have standardized. So all on the at Josh site, then they have like some sort of a plan slater from from Stan Day squatty do all the data structure. And in many cases, they work through an intermediate technology. that would be. In general, consider it like a data warehouse. And so the queries are running against the production electric. Health record. That has all kinds of implications on patient care where you don't want to slow down performance. By using these intermediaries They can receive queries and then Follow that mapping has occurred. Than, they're able to to run those distributed queries. Okay. And the other model is You know. You say the g through the medical quality, improvement consortium and sooner to the health facts initiative. So this says in Sodas case, for example, in swags. This is essentially picking up data from the right deals, clients and Dan standardizing and centralizing data in a single database is that that is correct. One benefit of that model is that Organizations who for example, may not be academic and don't have the. Resources to do that data mapping themselves by handing out over that task over to the vendor you get a broader diversity of the types of organizations so you can have. A safety net hospitals you can have. Critical access rural hospitals, and other venues of care that are probably under represented in some of those. More academically driven models. And clearly the focus on healthcare about I would imagine applications in pharmaceutical out indeed to right I. Don't know if it s use and bad direction there has been some were performed with these data resources to. Characterize different aspects of medications, and so it does have utility in value. In a variety of. Analytical contexts. I was thinking about you know a lot of randomized clinical trials going on into Kuwait context and One of the issues of dispatch seem development toils that are going on that one could argue the population there are not really well to percents. it may be number by Auditees, men, people that deputy existing conditions. and. So he will serve at my come out of facedly trial. granted might work for the population. Tried it minority have sufficient? more largely. So I wanted this type of well I guess we don't really have an ID there right. So clearly, you don't know who these people are but they could be some clustering type analysis that might be interesting weight from It's very useful for Health Services Research and for outcomes research for you know what I characterize digital phenotype being. they can then guide. More, more formal research. you know you can use this type of resource to. Make sure. You're asking a useful question and make sure that there's likely to be. Enough patients who qualify for given study. Maybe you're working on a clinical trial in your casting your net to narrow you can. Determine that with this type of data resource. And is the eight tiff date who has access to it typically. So for this data resource on, it's through the vendor so. You need to have some level of footprint with them. which is the case with our organization. They're definitely a broadening their strategies. So they're. Gaining access into health systems that aren't exclusively using their electronic health records so. It's exciting to be a part of that that process. and to again work with them to. Analyze the data. I think. To the example you gave a formal randomized trials. In key part of what were growing our research to focus on is because this is real world data. You learn what's happening in practice whether or not it's well aligned with guidelines or formal protocols. And doing that there's many opportunities for near-term interventions that can improve health outcomes simply by. Identifying where providers may be deviating more from. Best Practices in than taking steps through training and education to kind of get them back towards those best practices. This data is a fresh on a daily basis. It's not. It's because it's so large and bulky? Typically we've received it on a quarterly basis in since it's retrospective analysis that's not been a major barrier. But. mechanistically, on onto soon aside is data getting sort of picked up from this system that it's harvested every day and then it's aggregated bundled and distributed on A. On a different timescale. Okay okay. So. From again, going to the, it's our system designed issue and implementation You say many HR systems comprised of more news at specific clinical processes or unit such as Pharmacy Laboratory or surgery talked about that. But then then people implement them this of fashion right they they implement modules by that can be a factor or sometimes they may want. One vendor for their primary electronic health record, but another vendor for their laboratory system. and so that's where you don't see a hundred percent usage of every module and every organization. And detailed number of different you know sort of noise creating issues in data one. This is icy speech over from ICT denied ten. and I don't know history of this but this was supposed to be speech with sometime in twenty fifteen. That's correct. So there is A. You know. There's a date in October of Twenty fifteen where most organizations were expected to have completed that transition. When I see with researchers who aren't as familiar with the you know the whole policy landscape around `electronic health records that? you can imagine researchers who assumed that all data before that date in October is is nine and all data after that date would be icy the ten. While we demonstrate in this paper, is that that transition was not Nearly, that clean and it was a much more, you know there are some organizations who just It the bullet and completed in twenty fourteen, and there are other organizations that were still lagging. In. Two Thousand Sixteen. Potentially because they weren't as exposed to those incentives in other things that you know stipulated the transition so. Part of why were demonstrating with that particular part of that work was that. you know these transitions aren't always abrupt. Yeah and and and so that is one issue and then you know a lot of consistency inconsistency issues fade. So we see that in in single systems and one of the items note here as you know if you think about the disposition code for death. you could have a right your race supercenter, right? It's a death expire expedite at home hospice, and so on. if this is a problem for a single system, but then many think about aggregating data from multiple sources this this problem sort of increased exponentially. Absolutely. So one of the challenges with documenting and and finding where you know if a patient has A deceased that. There's just multiple places to put that documentation in the clinical record. The Location in the record that. We have found to be the most consistent is what's called discharge disposition. By as we show in that analysis, that field is not always used document that and so if you're doing outcomes research and one of your key. Outcome metrics is death. And there are organizations that. Aren't documenting death in a place that successful. You should filter those out of your analysis before moving forward. And so part of what we wanted to promote is the realization that. That's the type of consideration that needs to be made The four. Publishing. Your data about an outcome metrics like death that. You're not. If you're never gonNA see that outcome it doesn't mean that people are. Dying in that particular facility, it just means it's not documented in the place that successful. Right. Yeah. So you know you on your expedience. Unique Position Mark because you you look at it from the from the vendor's perspective you're in an academic setting you're also in practice in a hospital. What's your sense of these things improving the on a track of getting getting this more standardize or it's camping in the other direction I think in general there is improvement I think The. Over the past eleven years through various federal mandates, including meaningful use and so forth. Those of all incentive organizations to utilize. Standard terminologies more consistently than was the case beforehand. I think there's still plenty of room for improvement and You know it's it's a journey, not a destination, but I think things have improved substantially. I was wondering there could be some applications of artificial intelligence here to In a clearly TATECO systems and you'd like the most them pity human resource intensive Yvonne to get it completely right. So one question would be you know, could be actually used a Dick needs to get it maybe ninety nine percent white. And that the human deal with exceptions I definitely think that that's an exciting direction that You want those a algorithms to be trained with good data, and that's a big part of what's motivated us to. Put this focus on data quality and Understanding these strange nuances that are underpinning that date has so that. As we move towards a in machine learning and so forth. We have a high level of confidence in the data that's training those algorithms. Right. Yeah. I think that a huge opportunity here because it's not quite as broad as NFL, not natural language processing it is somewhat constrained. that is a good part of it. The back part of it is that is highly technical. and so. you know some of the techniques you know you can have a fault tolerance in certain dimensions such as you know, misspellings lack of gambling and things like that. But as you have Heidi technical data, you cannot apply those principles because he could have misspelling the system may not be able to. Get, sometimes, and that's where you know I think. It's totally feasible to use. Resources to you know when you're dealing with. Tens of millions of patients and billions of detailed records. Using a I'd even identify those patterns of either. Inconsistent data or missing data it's also very powerful just to. kind of flag in identified. Areas that need to be focused on to lead to a better analysis. Greg Wait Be Hefty. Use that information somehow did is a belt of information that you know and so it just filtering into decision processes that the are really losing it. So hopefully getting improving in that dimension I've jumping to another paper bittersweet interesting. So it's entitled rates and predictors of using opioids in the Emergency Department Katrina Treat Mike Dean in Young Otto's and so so this is sort of a machine learning exercise you have gone through to locate you know coup is getting prescribed. OPIOIDS water the conditions for the Democrat not Nestle demographics but different different maybe age and things like that gender. and and then ask the question desert has some effect on addiction. In the long term rights. So that project To great example of team science though. We. Assembled a team of subject matter experts in neurology pain management. And Data Science and. The neurologist and pain management experts. Identified an intriguing question that we decided to pursue with data. In their question was. Based on anecdotal observation and so we thought it'd be interesting to see how well the data supported that. Observation is that. for youth and young adults Treated or admitted into the emergency. Department. With a migraine headache that. All too often they were treated with an opioid. And so we Use the same day to resource that we were discussing earlier. To explore that. Question. And using data from a hundred and eighty distinct emergency departments. We found that on average twenty, three percent of those youth and young adults were treated with. An opioid medication while they were in the emergency department. In general, it should be almost zero percent in general. There's really Better medications to us, four people presenting with a migraine. and. So this fits into obviously the OPIOID crisis it. it demonstrates the. Scenario describing that. You know using real world data. You can identify patterns of clinical behavior that. Don't match guideline. And the good news is that the? correctable and so through. Training and communication there's great opportunity to. To, manage this. Really. Striking. So fifteen thousand or so inevitably the encounters. And nearly a quarter of this encounters you say involved inoculate. and these are not just Misha and Congress right. It is not filtered down to migraine encounters. Okay. Okay. So these fifteen thousand just might in encounters might vein being repeating disease So once you. If you make a statement and. This or not Easter conditioning issue here. So you get your pain, you go to an emergency department and you get treated with an opioid you get quick tactical relief. From pain. auditing condition expect that in the next episode. So you can say we didn't pursue that particular question, but that is Definitely key part of. Managing the OPIOID crisis is that drug seeking behavior and so Part of our goal was to quantify that and use this as an opportunity to educate providers that. You really shouldn't be treating migraines with an opioid in there are better alternatives and. So we we felt that this was an important contribution to that national dialogue, but we didn't specifically pursue the question of whether the patients we analyzed. Within. Encounter show up Subsequently. With the same symptoms. Right right. Yeah you it develop into period when problematic patterns of drug use comedy. FEST MERGE THE PREVALENCE RATE OF OPIOID misuse estimated to be two to four percent and debts in each goofy just young adult drew from overdoses are rising. and. You say that literally prescribe IOS has been slumping loose future opioid misuse by thirty three percent. Betas Mehta say really huge number. I think just validates the importance of this of this work. Interesting mark. I don't know you exploded on data. Last the question if you look at the aggregate data, it'd be flying opioid. Misuse. what percentage of the total number. Actually started from. You know some sort of medical encounter has mike or some sort of. related encounter that could be completed otherwise was three a bit opioid. in that encounter documented resulted in that misuse. So what so If you look at the active misuse problem that we have today. do you have a sense of what percentage of that goal is actually started I? Think the exciting thing about this type of research is for everyone questioned that you pursue you have. You have ten new that you can pursue. We haven't. Delved into that specific area, but it's It's very ripe for further analysis and A considerable part of where I end my colleagues and our time as. We do this type of work to get an initial analysis published. And then You know in my leadership role I just WANNA. support people like my colleagues on this paper Mark Connelly Jennifer Bickel. in in using data to. Support their research into identify those follow. I mean, he tests policy implications. So it's sweet important work. and. If you find it direct relationship here than you have to ask you know from from a medical perspective what is right intervention? maybe is not just added of care just best practice but clearly should be the bay You know things should be looked at you say you're American Academy of Neurology has included avoidance of using opioid to treat gain one of stop top flight choosing wisely recommendations. For high-value duck in this gives Really evidence to to support that. The other thing that's really intriguing is this level of variation from site to site in. Some Sun facilities are very much aligned with the guidelines. Others are at the you know well, above twenty three percent. And that gives an opportunity for a really precision. conversations about you know, where does our organization stand on that spectrum? Yeah that's a that's an interesting avenue to right. So you know one could ask he says some sort of push sliced Intervention if we can fly goal of patients who who had gone an opioid sexually don't have an addiction problem. that as you know Anna, the kofoed does. if you can fly those type of patterns than you can think about. A customized within electronic health record systems. There's. The ability to provide decisions poor. There's certainly phenomena called pop up fatigue were physicians. You know they don't like having so many pop up windows but at the same time. It's Within the capability of an e e Hr to do that if then logic if patient has. migraine medication order equals opioid. encourage the provider to pause and reconsider that. Right, right and so this is supervised machine learning type analysis where so you have. you have number features that comes directly from each else. So each sex race ethnicity. insurance type. Encounter prostate suggest duration. time of the year and so on. and you have labeled data in this case I guess you have able tater because you would know if op- inscribed on trade. Okay and so are the two questions here. One is to ask the question given a new patient and those features. you could assign a probability that that patient will be prescribed will. Definitely. Impress the data from that predictive Minds. Right and then can you so that data definitely tell you if the patient is going to progress into some sort of an addiction issue. So. Earn Predicting Substance Abuse. So. Yeah. Yeah. Yeah. There's additional diagnosis codes that document. whether a patient has a history of substance abuse disorder. and. So it would be feasible to. Identify the with those diagnosis codes in than really look at their prior history. Of What other conditions were they treated for? What medications were they give in? to develop that model. One of the things in this case that helped with this study is that just in general, it's not advised get. So there are other things that are much more of a gray area. Or whether opioid is as useful, but in this case. The really not. Considered. To be helpful for migraines compared to other options and so that help us have a fairly clear cut scenario to do this work. Yeah. This this won't be the data like you say once you do something like this, you have been other things you could. You could stop asking. So unquestioned that that been to my mind as you know, how did they hugged the actually prescribing opioids? Is it the patient asking for it all so? Off that was another scoping thing with this project is focused on what happens within the emergency. Room. So it's it's. Really, medication order in administration that happens. In that emergency room setting. Whether or not the patient. was. Requesting that you know if they came in and said, this has worked for me before. Can I have it again? we don't have visibility to that. Right. Right. And so from a practical perspective So the the analysis that you did slightly ended up with the Family Clyde power we think it is. Compelling. Pretty compelling. So as as a new patient gets into e D either high. and what I mean by that probably is if there is a history of substance abuse property. the physician has really think twice about. The use of may be the well, and in this case, even without that history. Just because it's not considered to be an effective treatment. You know encouraging them to pause in that decision making. In this particular case is as effective as wall. Right. So looking forward. In if you think about both of these issues, one is the data quality data aggregation data standardized recent problem in the the right of Utah Systems have did that the talked about? And then if we can get to a level that we can look at cross a large data set. Beacon, ask. More. US specific questions, treatment. Optimum treatment type questions. subpoenaed. US The mark big think B be hunting. Certainly, the volume and variety of data that we're able to work with will be even greater I, think the. Opportunity To. Look, holistically at how upstream data capture. Effects Downstream data. Analysis. example I frequently give is if we have a Aggregate Data said we identify. Ten patients whose way in that data such shows up as being. Something that's completely infeasible. let's say they're documented is being. Fifty year old person who weighs two pounds. Clearly air. What's important is? Creating the process to communicate that back upstream. Because that clinical decision. Support. Many drug dosing things are evaluated using weight based logic and so. That same logic that's Evaluating the appropriateness of dosage. It's going to be running against an incorrect value in that may or may not always be visible. So I really am intrigued with that holistic opportunity. In it I am I remain just we have three or four additional papers coming out. About other examples where Provider behaviors not aligned with Best Practices and I'm just excited about you know when you compare that to how long it takes to develop a new drug or how long it takes to. To a really long term research. This research has the opportunity for a pretty quick turnaround on an effective intervention. A really that. Other so much that right. Providers. been taught in a no, but they're. Not always using that in practice and so to help them. Identify, those topics in just modifying behaviors is. In the scheme of things, it's a very straightforward way to improve. So. You know the entire spectrum from essentially getting the data. Right or cleaner like you know Missa mischaracterized or miss input data like wait or something like that. To to get. Better diagnosis better treatment modalities. policies there and from a femme perspective clearly inflammation therefore clinical trials. I was even thinking about drug interaction type. Inflammation. I haven't been involved in the former de for awhile but. Typically, this type of data doesn't get back into automatic processes that fast but I think that is all I know there's strong interest in Pharma in. Working with this type of data there a again looking at real world behavior. This is an excellent resource for off label medication use at. you know where Pharma's Always interested in repurposing existing medications the. Regulatory Processes, much more straightforward for that because the safety is already been. Evaluated and so. The. Significant Opportunity With this, there's also just exciting. Patterns of you know. What are those unrecognised correlations? That's where the machine learning opportunities are really exciting where. You know we're not always asking the right question. And the data can show us what we should be. Yeah exactly. So if the machine a sort of red flags something or create hypotheses. that Cubans have missed sometimes, those types of things are extremely powerful. because maybe that sometimes it's countering tutor. and so we all look at data with an Incan bias. The beauty of machines that at least on the surface began deploy Michigan. This volume of data. Techniques like machine deep learning can recognize those subtle but consistent associations. Wait quite. Excellent. Idea this has been great mark Thanks so much time with me. I enjoyed it very much. Thank you. But

Policy Technology Economics Science Gill Eappen Mike Yesterday Dr Mark Hoffman Children's Mussa Hospital Turner Electronic Certner Migraine Inflammation Federated Networks Stan Day Squatty Michio Kato University Of Minnesota Makita GIL Federated Kansas City
Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

Scientific Sense

44:57 min | 10 months ago

Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

"Welcome to the site of accents podcast. Where we explore emerging ideas from signs, policy economics, and technology. My name is Gill eappen. We talk with woods leading academics and experts about the recent research or generally of topical interest. Scientific senses at unstructured conversation with no agenda or preparation. Be Color a wide variety of domains red new discoveries are made. and New Technologies are developed on a daily basis. The most interested in how new Ideas Affect Society? And, help educate the world how to pursue rewarding and enjoyable life rooted in signs logic at inflammation. V seek knowledge without boundaries or constraints and provide unaided content of conversations bit researchers and leaders who low what they do. A companion blog to this podcast can be found at scientific sense dot com. And displayed guest is available on over a dozen platforms and directly at scientific sense. Dot? Net. If you have suggestions for topics, guests at other ideas. Please send up to info at scientific sense dot com. And I can be reached at Gil at eappen Dot Info. Mike yesterday's Dr Mark Hoffman, who is a research associate professor in the University of Minnesota Against City. He is also chief research inflammation officer in the children's Mussa hospital in Kansas City. Kiss research interests include health data delayed indication sharing initialisation Boca Mark. Thank you for inviting me. Absolutely. So I start with one of your papers Kato you need the use by our system implementation in defy date data resource from hundred known athlete off my seasons. So Michio inflicted. Data aggregated for marketable sources provide an important resource for my medical research including digital feel typing. On. Like. Todd beat to from a single organization. Guitar data introduces a number of analysis challengers. So. So you've worked with some augmentation log and in almost all cases be used. Data coming from that single macy's listen primary care behavioral. Or specialty hospitals and I always wondered you know wouldn't be nice. Get a data set. That sort of abrogates data from the radio on-ice. Asians but a lot of different challenges around that. So you wanted to talk a bit about that. I'd be happy to the resource that we've worked with. Is primarily a called health fax data resource. It's been in operation for almost twenty years. And the the the model is that organizations who are. Using these Turner Electronic. Health. Record. Enter into an agreement was turner they agreed to provide data rights to sern are. The identifies the date of affords aggregated into this resource. And certner provides data mapping, which is really critical to this type of work. It also the aggregate the data. And for the past probably six years. Then, they provide the full data set to especially academic contributors who want to do research with that resource. And I've been on both sides of that equation Lead that group during my career there, and then now I have the opportunity to really focus research on that type of data. So before we get into the details smog so e Itar Systems. So this is. Essentially patient records. So he gets dated like demographics out family history, surgical history hats, medications, lab solves it could have physician nodes no snow. So it's it's a combination of a variety of different types of data, right? A couple of things on the examples you gave it includes demographics. Discreet Laboratory results Medication orders. Many vitals so If access the blood pressure and pulse data. It does not include text notes because those can't be. Automatically identified consistently. So. We don't have access currently to TEX notes. Out of an abundance of caution. That his Hobby Stephen, physician writes something down they could use names they could use inflammation that could then point back to their. Patients Makita Perspective been the data's aggregated, the primary issue shoe that date has completely the identified, right? Correct. So. So yeah. So the data that we receive there's eighteen identifiers. Hip requires be removed from data. And those include obvious things like name address email addresses are another example One of the. Things. That is also part of the benefit of working with this particular resource. The. Dates of clinical service are not allowed to be provided under hip. White is done with this resource that allows us to still have a longitudinal view is. For any given patient in the data set the dates are shifted by A. Consistent. Pattern that for any given patient it can be. One two three four five weeks forward or one, two, three, four or five weeks backward. But that preserves things like day of the week effect. So for example, you see -nificant increase in emergency department encounters over weekends and you don't WanNa lose. Visibility to that. but it also allows us to receive. Very, granular early time stamped events in so. We can gain visibility into the time that a blood specimen was collected, and then the time that the result was reported back. And so we're able to do very detailed analyses with this type of resource. Right right and I don't know the audience our market is fragmented. Tau himself e Amorebieta providers out there. and so two issues. One is sort of. Standardization as to how these databases are designed and structured and others even that standardization that the actual collection of the data. In itself is not standardized played. So vk CAV vk potentially lot inability coming from different systems. Correct and that's part of what the paper that you mentioned Evaluates so. Often, night you out in the field in conferences you hear. Comparisons kind of lumping all organizations using one. Vendor lumping all using another together but as you get closer to it, you quickly learn that. It's not even clear. It's within those. Vendor markets. There's variation from organization to organization in how they use the e Hr and so. Because the identities of the. Contributing organizations are blinded to those of us who work with the data. We have to be creative about how we. Infer those implementation details, and so with this paper, we describe a couple of methods that We think move things forward towards that goal. Yes. So I'm not really familiar with that. So you mentioned a couple of things here. One is the the merge network. So this initiative including electric medical records and genomics network and pc off net the national patient, centered clinical research network support. Decentralized analyses that goes disparate systems by distributing standardized quotas to site. So this is a situation where you have multiple systems sort of. Communicating with each other and this net folks at allowing to sort of quickly them In some standardized fashion. So In this type of technology, there's janitorial core models. One is the. Federated or distributed model, the other is a centralized data aggregation. So there are examples including those that are mentioned in the paper where. Queries are pushed to the organization and. They need to do significant work upfront to ensure that there are standardizing their terminologies the same way. And once they do that upfront work than they're able to perform the types of queries that are distributed through those. Federated Networks. With. Okay. So that just one click on so that the police have standardized. So all on the at Josh site, then they have like some sort of a plan slater from from Stan Day squatty do all the data structure. And in many cases, they work through an intermediate technology. that would be. In general, consider it like a data warehouse. And so the queries are running against the production electric. Health record. That has all kinds of implications on patient care where you don't want to slow down performance. By using these intermediaries They can receive queries and then Follow that mapping has occurred. Than, they're able to to run those distributed queries. Okay. And the other model is You know. You say the g through the medical quality, improvement consortium and sooner to the health facts initiative. So this says in Sodas case, for example, in swags. This is essentially picking up data from the right deals, clients and Dan standardizing and centralizing data in a single database is that that is correct. One benefit of that model is that Organizations who for example, may not be academic and don't have the. Resources to do that data mapping themselves by handing out over that task over to the vendor you get a broader diversity of the types of organizations so you can have. A safety net hospitals you can have. Critical access rural hospitals, and other venues of care that are probably under represented in some of those. More academically driven models. And clearly the focus on healthcare about I would imagine applications in pharmaceutical out indeed to right I. Don't know if it s use and bad direction there has been some were performed with these data resources to. Characterize different aspects of medications, and so it does have utility in value. In a variety of. Analytical contexts. I was thinking about you know a lot of randomized clinical trials going on into Kuwait context and One of the issues of dispatch seem development toils that are going on that one could argue the population there are not really well to percents. it may be number by Auditees, men, people that deputy existing conditions. and. So he will serve at my come out of facedly trial. granted might work for the population. Tried it minority have sufficient? more largely. So I wanted this type of well I guess we don't really have an ID there right. So clearly, you don't know who these people are but they could be some clustering type analysis that might be interesting weight from It's very useful for Health Services Research and for outcomes research for you know what I characterize digital phenotype being. they can then guide. More, more formal research. you know you can use this type of resource to. Make sure. You're asking a useful question and make sure that there's likely to be. Enough patients who qualify for given study. Maybe you're working on a clinical trial in your casting your net to narrow you can. Determine that with this type of data resource. And is the eight tiff date who has access to it typically. So for this data resource on, it's through the vendor so. You need to have some level of footprint with them. which is the case with our organization. They're definitely a broadening their strategies. So they're. Gaining access into health systems that aren't exclusively using their electronic health records so. It's exciting to be a part of that that process. and to again work with them to. Analyze the data. I think. To the example you gave a formal randomized trials. In key part of what were growing our research to focus on is because this is real world data. You learn what's happening in practice whether or not it's well aligned with guidelines or formal protocols. And doing that there's many opportunities for near-term interventions that can improve health outcomes simply by. Identifying where providers may be deviating more from. Best Practices in than taking steps through training and education to kind of get them back towards those best practices. This data is a fresh on a daily basis. It's not. It's because it's so large and bulky? Typically we've received it on a quarterly basis in since it's retrospective analysis that's not been a major barrier. But. mechanistically, on onto soon aside is data getting sort of picked up from this system that it's harvested every day and then it's aggregated bundled and distributed on A. On a different timescale. Okay okay. So. From again, going to the, it's our system designed issue and implementation You say many HR systems comprised of more news at specific clinical processes or unit such as Pharmacy Laboratory or surgery talked about that. But then then people implement them this of fashion right they they implement modules by that can be a factor or sometimes they may want. One vendor for their primary electronic health record, but another vendor for their laboratory system. and so that's where you don't see a hundred percent usage of every module and every organization. And detailed number of different you know sort of noise creating issues in data one. This is icy speech over from ICT denied ten. and I don't know history of this but this was supposed to be speech with sometime in twenty fifteen. That's correct. So there is A. You know. There's a date in October of Twenty fifteen where most organizations were expected to have completed that transition. When I see with researchers who aren't as familiar with the you know the whole policy landscape around `electronic health records that? you can imagine researchers who assumed that all data before that date in October is is nine and all data after that date would be icy the ten. While we demonstrate in this paper, is that that transition was not Nearly, that clean and it was a much more, you know there are some organizations who just It the bullet and completed in twenty fourteen, and there are other organizations that were still lagging. In. Two Thousand Sixteen. Potentially because they weren't as exposed to those incentives in other things that you know stipulated the transition so. Part of why were demonstrating with that particular part of that work was that. you know these transitions aren't always abrupt. Yeah and and and so that is one issue and then you know a lot of consistency inconsistency issues fade. So we see that in in single systems and one of the items note here as you know if you think about the disposition code for death. you could have a right your race supercenter, right? It's a death expire expedite at home hospice, and so on. if this is a problem for a single system, but then many think about aggregating data from multiple sources this this problem sort of increased exponentially. Absolutely. So one of the challenges with documenting and and finding where you know if a patient has A deceased that. There's just multiple places to put that documentation in the clinical record. The Location in the record that. We have found to be the most consistent is what's called discharge disposition. By as we show in that analysis, that field is not always used document that and so if you're doing outcomes research and one of your key. Outcome metrics is death. And there are organizations that. Aren't documenting death in a place that successful. You should filter those out of your analysis before moving forward. And so part of what we wanted to promote is the realization that. That's the type of consideration that needs to be made The four. Publishing. Your data about an outcome metrics like death that. You're not. If you're never gonNA see that outcome it doesn't mean that people are. Dying in that particular facility, it just means it's not documented in the place that successful. Right. Yeah. So you know you on your expedience. Unique Position Mark because you you look at it from the from the vendor's perspective you're in an academic setting you're also in practice in a hospital. What's your sense of these things improving the on a track of getting getting this more standardize or it's camping in the other direction I think in general there is improvement I think The. Over the past eleven years through various federal mandates, including meaningful use and so forth. Those of all incentive organizations to utilize. Standard terminologies more consistently than was the case beforehand. I think there's still plenty of room for improvement and You know it's it's a journey, not a destination, but I think things have improved substantially. I was wondering there could be some applications of artificial intelligence here to In a clearly TATECO systems and you'd like the most them pity human resource intensive Yvonne to get it completely right. So one question would be you know, could be actually used a Dick needs to get it maybe ninety nine percent white. And that the human deal with exceptions I definitely think that that's an exciting direction that You want those a algorithms to be trained with good data, and that's a big part of what's motivated us to. Put this focus on data quality and Understanding these strange nuances that are underpinning that date has so that. As we move towards a in machine learning and so forth. We have a high level of confidence in the data that's training those algorithms. Right. Yeah. I think that a huge opportunity here because it's not quite as broad as NFL, not natural language processing it is somewhat constrained. that is a good part of it. The back part of it is that is highly technical. and so. you know some of the techniques you know you can have a fault tolerance in certain dimensions such as you know, misspellings lack of gambling and things like that. But as you have Heidi technical data, you cannot apply those principles because he could have misspelling the system may not be able to. Get, sometimes, and that's where you know I think. It's totally feasible to use. Resources to you know when you're dealing with. Tens of millions of patients and billions of detailed records. Using a I'd even identify those patterns of either. Inconsistent data or missing data it's also very powerful just to. kind of flag in identified. Areas that need to be focused on to lead to a better analysis. Greg Wait Be Hefty. Use that information somehow did is a belt of information that you know and so it just filtering into decision processes that the are really losing it. So hopefully getting improving in that dimension I've jumping to another paper bittersweet interesting. So it's entitled rates and predictors of using opioids in the Emergency Department Katrina Treat Mike Dean in Young Otto's and so so this is sort of a machine learning exercise you have gone through to locate you know coup is getting prescribed. OPIOIDS water the conditions for the Democrat not Nestle demographics but different different maybe age and things like that gender. and and then ask the question desert has some effect on addiction. In the long term rights. So that project To great example of team science though. We. Assembled a team of subject matter experts in neurology pain management. And Data Science and. The neurologist and pain management experts. Identified an intriguing question that we decided to pursue with data. In their question was. Based on anecdotal observation and so we thought it'd be interesting to see how well the data supported that. Observation is that. for youth and young adults Treated or admitted into the emergency. Department. With a migraine headache that. All too often they were treated with an opioid. And so we Use the same day to resource that we were discussing earlier. To explore that. Question. And using data from a hundred and eighty distinct emergency departments. We found that on average twenty, three percent of those youth and young adults were treated with. An opioid medication while they were in the emergency department. In general, it should be almost zero percent in general. There's really Better medications to us, four people presenting with a migraine. and. So this fits into obviously the OPIOID crisis it. it demonstrates the. Scenario describing that. You know using real world data. You can identify patterns of clinical behavior that. Don't match guideline. And the good news is that the? correctable and so through. Training and communication there's great opportunity to. To, manage this. Really. Striking. So fifteen thousand or so inevitably the encounters. And nearly a quarter of this encounters you say involved inoculate. and these are not just Misha and Congress right. It is not filtered down to migraine encounters. Okay. Okay. So these fifteen thousand just might in encounters might vein being repeating disease So once you. If you make a statement and. This or not Easter conditioning issue here. So you get your pain, you go to an emergency department and you get treated with an opioid you get quick tactical relief. From pain. auditing condition expect that in the next episode. So you can say we didn't pursue that particular question, but that is Definitely key part of. Managing the OPIOID crisis is that drug seeking behavior and so Part of our goal was to quantify that and use this as an opportunity to educate providers that. You really shouldn't be treating migraines with an opioid in there are better alternatives and. So we we felt that this was an important contribution to that national dialogue, but we didn't specifically pursue the question of whether the patients we analyzed. Within. Encounter show up Subsequently. With the same symptoms. Right right. Yeah you it develop into period when problematic patterns of drug use comedy. FEST MERGE THE PREVALENCE RATE OF OPIOID misuse estimated to be two to four percent and debts in each goofy just young adult drew from overdoses are rising. and. You say that literally prescribe IOS has been slumping loose future opioid misuse by thirty three percent. Betas Mehta say really huge number. I think just validates the importance of this of this work. Interesting mark. I don't know you exploded on data. Last the question if you look at the aggregate data, it'd be flying opioid. Misuse. what percentage of the total number. Actually started from. You know some sort of medical encounter has mike or some sort of. related encounter that could be completed otherwise was three a bit opioid. in that encounter documented resulted in that misuse. So what so If you look at the active misuse problem that we have today. do you have a sense of what percentage of that goal is actually started I? Think the exciting thing about this type of research is for everyone questioned that you pursue you have. You have ten new that you can pursue. We haven't. Delved into that specific area, but it's It's very ripe for further analysis and A considerable part of where I end my colleagues and our time as. We do this type of work to get an initial analysis published. And then You know in my leadership role I just WANNA. support people like my colleagues on this paper Mark Connelly Jennifer Bickel. in in using data to. Support their research into identify those follow. I mean, he tests policy implications. So it's sweet important work. and. If you find it direct relationship here than you have to ask you know from from a medical perspective what is right intervention? maybe is not just added of care just best practice but clearly should be the bay You know things should be looked at you say you're American Academy of Neurology has included avoidance of using opioid to treat gain one of stop top flight choosing wisely recommendations. For high-value duck in this gives Really evidence to to support that. The other thing that's really intriguing is this level of variation from site to site in. Some Sun facilities are very much aligned with the guidelines. Others are at the you know well, above twenty three percent. And that gives an opportunity for a really precision. conversations about you know, where does our organization stand on that spectrum? Yeah that's a that's an interesting avenue to right. So you know one could ask he says some sort of push sliced Intervention if we can fly goal of patients who who had gone an opioid sexually don't have an addiction problem. that as you know Anna, the kofoed does. if you can fly those type of patterns than you can think about. A customized within electronic health record systems. There's. The ability to provide decisions poor. There's certainly phenomena called pop up fatigue were physicians. You know they don't like having so many pop up windows but at the same time. It's Within the capability of an e e Hr to do that if then logic if patient has. migraine medication order equals opioid. encourage the provider to pause and reconsider that. Right, right and so this is supervised machine learning type analysis where so you have. you have number features that comes directly from each else. So each sex race ethnicity. insurance type. Encounter prostate suggest duration. time of the year and so on. and you have labeled data in this case I guess you have able tater because you would know if op- inscribed on trade. Okay and so are the two questions here. One is to ask the question given a new patient and those features. you could assign a probability that that patient will be prescribed will. Definitely. Impress the data from that predictive Minds. Right and then can you so that data definitely tell you if the patient is going to progress into some sort of an addiction issue. So. Earn Predicting Substance Abuse. So. Yeah. Yeah. Yeah. There's additional diagnosis codes that document. whether a patient has a history of substance abuse disorder. and. So it would be feasible to. Identify the with those diagnosis codes in than really look at their prior history. Of What other conditions were they treated for? What medications were they give in? to develop that model. One of the things in this case that helped with this study is that just in general, it's not advised get. So there are other things that are much more of a gray area. Or whether opioid is as useful, but in this case. The really not. Considered. To be helpful for migraines compared to other options and so that help us have a fairly clear cut scenario to do this work. Yeah. This this won't be the data like you say once you do something like this, you have been other things you could. You could stop asking. So unquestioned that that been to my mind as you know, how did they hugged the actually prescribing opioids? Is it the patient asking for it all so? Off that was another scoping thing with this project is focused on what happens within the emergency. Room. So it's it's. Really, medication order in administration that happens. In that emergency room setting. Whether or not the patient. was. Requesting that you know if they came in and said, this has worked for me before. Can I have it again? we don't have visibility to that. Right. Right. And so from a practical perspective So the the analysis that you did slightly ended up with the Family Clyde power we think it is. Compelling. Pretty compelling. So as as a new patient gets into e D either high. and what I mean by that probably is if there is a history of substance abuse property. the physician has really think twice about. The use of may be the well, and in this case, even without that history. Just because it's not considered to be an effective treatment. You know encouraging them to pause in that decision making. In this particular case is as effective as wall. Right. So looking forward. In if you think about both of these issues, one is the data quality data aggregation data standardized recent problem in the the right of Utah Systems have did that the talked about? And then if we can get to a level that we can look at cross a large data set. Beacon, ask. More. US specific questions, treatment. Optimum treatment type questions. subpoenaed. US The mark big think B be hunting. Certainly, the volume and variety of data that we're able to work with will be even greater I, think the. Opportunity To. Look, holistically at how upstream data capture. Effects Downstream data. Analysis. example I frequently give is if we have a Aggregate Data said we identify. Ten patients whose way in that data such shows up as being. Something that's completely infeasible. let's say they're documented is being. Fifty year old person who weighs two pounds. Clearly air. What's important is? Creating the process to communicate that back upstream. Because that clinical decision. Support. Many drug dosing things are evaluated using weight based logic and so. That same logic that's Evaluating the appropriateness of dosage. It's going to be running against an incorrect value in that may or may not always be visible. So I really am intrigued with that holistic opportunity. In it I am I remain just we have three or four additional papers coming out. About other examples where Provider behaviors not aligned with Best Practices and I'm just excited about you know when you compare that to how long it takes to develop a new drug or how long it takes to. To a really long term research. This research has the opportunity for a pretty quick turnaround on an effective intervention. A really that. Other so much that right. Providers. been taught in a no, but they're. Not always using that in practice and so to help them. Identify, those topics in just modifying behaviors is. In the scheme of things, it's a very straightforward way to improve. So. You know the entire spectrum from essentially getting the data. Right or cleaner like you know Missa mischaracterized or miss input data like wait or something like that. To to get. Better diagnosis better treatment modalities. policies there and from a femme perspective clearly inflammation therefore clinical trials. I was even thinking about drug interaction type. Inflammation. I haven't been involved in the former de for awhile but. Typically, this type of data doesn't get back into automatic processes that fast but I think that is all I know there's strong interest in Pharma in. Working with this type of data there a again looking at real world behavior. This is an excellent resource for off label medication use at. you know where Pharma's Always interested in repurposing existing medications the. Regulatory Processes, much more straightforward for that because the safety is already been. Evaluated and so. The. Significant Opportunity With this, there's also just exciting. Patterns of you know. What are those unrecognised correlations? That's where the machine learning opportunities are really exciting where. You know we're not always asking the right question. And the data can show us what we should be. Yeah exactly. So if the machine a sort of red flags something or create hypotheses. that Cubans have missed sometimes, those types of things are extremely powerful. because maybe that sometimes it's countering tutor. and so we all look at data with an Incan bias. The beauty of machines that at least on the surface began deploy Michigan. This volume of data. Techniques like machine deep learning can recognize those subtle but consistent associations. Wait quite. Excellent. Idea this has been great mark Thanks so much time with me. I enjoyed it very much. Thank you. But

Policy Technology Economics Science Gill Eappen Mike Yesterday Dr Mark Hoffman Children's Mussa Hospital Turner Electronic Certner Migraine Inflammation Federated Networks Stan Day Squatty Michio Kato University Of Minnesota Makita GIL Federated Kansas City
Crime Boss, James Whitey Bulger

Kingpins

04:32 min | 10 months ago

Crime Boss, James Whitey Bulger

"In the kitchen of seven ninety, nine east. Third Street in Boston Fifty Five Year Old Boston crime boss Whitey Bolger said across from John mcintire he felt nothing but hatred. He knew that McIntyre agreed to talk to the DA and there was nothing that Whitey loathed more than a rat. A cool breeze rattled the window on that day in November nineteen eighty-four McIntyre was handcuffed and chained to a chair. Whitey set his MAC ten machine pistol on the table and told him that they needed to talk. Knew, he was doomed. There was a reason why Whitey had become the kingpin of South Boston. Lording over the neighborhoods loansharking bookmaking truck hijacking and extortion rackets, and it wasn't by showing mercy. He knew that even if he was somehow able to talk his way out of the situation that was nowhere to run. By the end of his career Whitey sanctioned hits as far away as Oklahoma McIntyre. Himself had even been involved in weapons smuggling scheme into Ireland full Whitey. No less. His boss was an international criminal. The great irony of course was Whitey got away with all of his criminal enterprises because he himself was an FBI informant. Whitey had grown up in the projects with an FBI agent named John Connolly. To him. Whitey was more than just a valuable pawn in their war against the Italian mafia, and for Bolger, Connolly became his `get-out-of-jail-free card and it was connelly who gave him the tip that one of his guys McIntyre was talking of course only those in White T.'s inner circle new of his deal between Bolger and connolly besides who would suspect Whitey of talking he was the gentleman gangster who bought Turkeys for poor South Boston families on Thanksgiving, the man who was a fitness. Nut He didn't drink or smoke the same Whitey who for all of his wealth and power still drove a Chevy Malibu and lived with his mother nearly until her death in nineteen eighty. Whitey, was a Southie boy through and through no, one would accuse him of talking to the feds so why he ran southie and that meant he had all the tools in his pocket, the power of the FBI and the power to do whatever needed to be done to anyone who crossed him. In. The kitchen John mcintire shook his head apologizing over and over again he told his boss. I'm sorry. I was week white. He wasn't interested in the apologies he needed information. He turned the conversation to ask him questions about what McIntyre told the FBI. NDA and then oddly his questions shifted back towards business McIntyre was entrenched in Boston's drug trade Whitey. He had been forcing South Boston's drug dealers to pay him rent for working his streets and he wanted to make sure he was still getting his haircut McIntyre spilled everything both what he said to the feds and about the drug industry he held back nothing by the time McIntyre was done talking Whitey was satisfied. He calmed McIntyre down in assured him that they were just going to send him away. Once the heat died down, he could return to Boston somehow whites he managed to convince McIntyre to come down to the basement with him. and. Once they were downstairs white he tried to strangle McIntyre with the rope. But the rope was too thick. All it did was make McIntyre. throw-up frustrated Whitey grabbed a gun and shot him with that bullet. Whitey used his position as an informant for the FBI to kill another enforcement and the FBI had helped him do it. People like John McIntyre. What collateral damage the cost of doing business ultimately McIntyre's death meant nothing to Whitey. In fact, he went upstairs and took a nap a ritual he kept after every kill. Meanwhile, two of his henchmen buried the body

Whitey Bolger John Mcintyre Whitey Boston FBI John Mcintire John Connolly Extortion Ireland DA Mcintyre. Connelly
South Dakota officials warn of COVID-19 exposure at Sturgis

AP News Radio

00:57 sec | 1 year ago

South Dakota officials warn of COVID-19 exposure at Sturgis

"South Dakota officials are warning that a number of people who attended the ten day Sturgis motorcycle rally have come down with the corona virus and they're getting reports from health officials out of state that their residents have also tested positive the motorcycle rally brought hundreds of thousands discourages and ended last weekend the coronavirus testing on residents began right after Gage Connelly told black hills fox news it puts a lot of people's minds at ease especially since a lot of people are angry that they let the rally happen I feel like this is like a step towards the right direction but are you Matt says he doesn't agree everyone needs to get tested I don't think it's necessary for everybody city manager Daniel Ainslie says they're being proactive a lot of it will mean continued testing more testing to try to identify those people and really encouraging employers as well to really ensure that they're continuing a lot of the health care screening South Dakota health officials reported Thursday a hundred and twenty five new cases in the state and two new deaths I'm Julie Walker

Gage Connelly Matt Daniel Ainslie Julie Walker South Dakota Sturgis
Clerks set to count votes in messy Wisconsin election

America's First News

00:33 sec | 1 year ago

Clerks set to count votes in messy Wisconsin election

"Well clerks across Wisconsin will count votes today six days after last week's chaotic presidential primary district judge William Conley rejecting a plea by Democrats and other groups to postpone the election body ordered an extended period for absentee voting in barred clerks from counting the returns until today the U. S. Supreme Court ultimately overturned Connelly's extended absentee ballot voting period but left intact the portion that blocked the count until today the race between Joe Biden and Bernie Sanders was moot after Sanders dropped out a high stakes state Supreme Court race was in

Wisconsin William Conley U. S. Supreme Court Connelly Joe Biden Bernie Sanders
"connelly" Discussed on KDWN 720AM

KDWN 720AM

02:57 min | 1 year ago

"connelly" Discussed on KDWN 720AM

"Connelly package of all there's a lot of things in there and then under almost virtually any other circumstance I wouldn't support I don't bit when supporting those measures I think we're at a time right now as such in such unique circumstance that the psychological impact of not having voted for this today and taking it down would have been dramatic and I think that's why the president supported it and that's why one point two trillion dollars could be coming to people that are being heard through no fault of their own John listen W. V. G. A. as Marco Rubio in Nashville Georgia Hey John Hey Brian they're taking my call my question is can in regards to forming in adapting overcome the shortfalls in the commodity markets right now and us for staying home with our employees stay home that's not really a viable option for us right now because kind of them start get the crops in the ground now just looking for some insight and farming industry as a whole and the possible financial exposures related to the virus instabilities in the commodity markets and well I would go to the owner of the farm yes Sir yeah do you have employees we did yesterday have you laid anybody off they've been working right right we can't right now because we're trying to get our crops in the grand council of the hood but we really don't have any other options so how's you been hurt so far well during the commodity markets and you know this ability in the markets have taken a major tank China and but I I think you mark is going to come back so I yeah I said why I don't know if they're gonna get did let you heal if you if you mark is taking a pass if you are a stock taking a pounding but we'll we'll talk about that Dan listen W. T. R. C. N. L. card Hey Dan Hey what's up Brian how are you great what's on your mind how did this thing with China is not surprising you well listen here's the deal first well we love you know Kerr county will be in Indiana well you've been here a couple times so we appreciate that look look forward to you coming back here's the thing with China nobody should be surprised what's going on with China okay first and foremost so anybody that little boy woke up this morning is that China is behind this I am why would we be surprised we can't trust I know they're not a friend much of that money was returned and get on the moral high horse to say they are so the thing is just overall I mean listen I really feel like well president trump you know I get everything he's doing is for the best for our country I really feel deep down we got one shot to get this right and you know I'm a silver lining kind of guy that's the way we are fortunately my wife and I and my family we are all still working here in Elko county there's no one cases although in Sagle county there's five three more new to this one includes right next to us that's where people does was mayor yeah thanks to an intense your kind words about India's great place you have the best Super Bowl ever to L. card in particular is fantastic and that's why the presence on from Washington telling everybody what to do in every.

Connelly
"connelly" Discussed on 860AM The Answer

860AM The Answer

08:30 min | 1 year ago

"connelly" Discussed on 860AM The Answer

"It was only seven percent so it's a bit to put it in students this is a global global crisis the low interest rates with high employment more jobs in people's Connelly and main street is still very good the water filled tank because it goes from the country of the wallstreet radio network I mean it's really not funny these people on a fake visitors network I've been telling you all along bunch of phonies feeding us fake narrative but all along for the last five years this market was imploding actually started before that but the real opposed and started the last five years the stock market kept moving up with fake money with printing money shoving into the market not help the economy just helping stocks go higher to help five percent of the population the other ninety five percent of population got screwed they know what they thought they were doing traffic why because they provide them cheap money too so the very very wealthy the very the five percent our owners were making a fortune and stock market by buying their own stock pushing it up no value there is a big big bubble and yeah and that's what gets me there there there's the fake business network arch is treating this this this last collapse we had like is nothing just trying to pull back hers is fine wait a minute have we forgotten October two thousand eighteen crash we had a twenty percent crash in October you know how long it took to go down twenty percent October two thousand eight eighteen two thousand eighteen fifty eight days fifty eight days now let's take March two thousand twenty it took twelve days to go down twenty percent twelve days compared to fifty eight days what are you nuts nobody is making a big deal that the coal ash the difference why it took just eighteen days every just twelve days etcetera fifty a day because if the gig was up this over when the yield starch invert and now there's not even a one handle which simply means when you are buying E. ills when you're buying treasuries you can buy a treasury let's say it was at a two point this it was at three point four four the drop down to two point four four slash three point four four they call that the three handle two point four for this to to handle one point four four that's the one handle now there's no more three two one it's zero point four four that means we had a total collapse in the bond market bond markets tell you they look for how well the economy is doing in the last five years my fact in the last year I kept telling everybody look at the bond market we're getting in a Virgilio Kerr but nobody cared nobody cares everybody to think this is not working they didn't care remember what they're telling us also now think they got a different different story back then everything was beautiful number I you have to admit things are going well these euphoria in the air right you remember that now all of a sudden there's concern he was maybe going down one quick thing about the airline's international air trainer just dredging nuts doesn't so anyway here's the problem what's the difference why would it drop a market drop twenty two percent and twelve days the last time it dropped twenty percent was fifty eight days because we have a total collapse now where's the what's been boosting this market up for ten years specially the last five years it's been quantitative easing the printing of money and buying of bonds when you buy those bonds the rates come down and the ten year treasury that forces the rate down on the counter rate which means the rate it is charged for on you for but getting a credit card or buying a car buying a snowmobiler water whatever you wrote what waverunner so is logic can get those ten year treasury yields down then the short term rage which identifies what you are paying your cards for the credit card student loan all that those come down so what they did cleverly as they kept making the rich richer after the crash taking five percent of the population and making them extremely wealthy by giving them money was nearly free then they turn around and they gave the the masters ninety five percent of the population real low rates so they could go consume consume more than their income well now that has blown up there's nowhere to go we can't keep doing that because when you don't have enough of them all at three point four four or even one point four four you got plenty of them all to drop interest rates when the market is crashing we have no place to go there's no more one handle once more for the handle is gone it's broken there's no handle on the coffee Cup so now we're sitting here at four point four four they're going to drop interest rates you can watch they're going to drop it you bring down the general that's not gonna help they are going to give mortgages thirty year fixed rate mortgages it is one percent if I could do anything until today they come out with we're gonna we're gonna cut the payroll tax right I've been telling you to cut the payroll tax for how long or fight as they call it stands for the federal insurance contributions act the payroll tax known as Vika is out there it's an old relic going back to the socialist times with Roosevelt's new deal is a socialist programme as a redistribution of wealth from the rich to the poor as always it's it's updated it's costing us jobs the employers don't want to pay six point two percent it's costing us jobs in different times of the Roosevelt there should have been it's just been killed years ago there's too much on small it's a big burden on small businesses especially start up businesses which provides provides seventy eight percent of new jobs are you kidding it's like taking a part from a model T. and putting out a brand new Ferrari the payroll tax is cool are you it's a cruel tax the payroll tax raises the cost of labor far more than the the federal mandates this is yet you got it not only cut him get rid of the payroll taxes they cut those would be a powerful pro work pro growth policy was not enough to correct them you've got to get rid of them and we had we had an opportunity to do that and the Republicans don't know gosh when the time gets covered Bob between two thousand two thousand twelve he cut payroll tax for a while about two percentage points we had a good look at that we had a great opportunity to make them permanent but the Republicans failed to do it so I could do any good now okay why why when I come back this is stupid.

Connelly wallstreet
"connelly" Discussed on Female Criminals

Female Criminals

05:17 min | 1 year ago

"connelly" Discussed on Female Criminals

"As author. Jim Shoots described on a late Tuesday afternoon. In the summer of Nineteen ninety-four one of Jeff. Smith's legal assistance shepherded. Lisa's family her mother. Her uncle and other members of the Connelly clan into Jeff's office. Then Jeff Sat there and listened as Lisa's family excoriated him. They didn't understand what was taking so long. Why was Lisa sitting in jail? The only mistake she'd made was falling in with the wrong crowd of people. Lisa's uncle snarled that it was ridiculous. What the papers were saying. It was ridiculous that the district attorney was going on TV. And calling. Lisa. A murderer at this jeff could no longer maintain his silence. He said look. You understand why they're calling these kids murderers right day murdered somebody. Lisa is charged with capital murder. The death penalty is a possibility the electric chair. The state is making her out to be the ringleader. After RE EXPLAINING THE STAKES ONCE MORE JEFF sought to reassure them. Listen he told them. No jury in Florida wants to send that little white girl to the chair. Lisa's uncle perked up. Believing that Jeff's words Lisa would soon walk free. Jeff quickly squashed the absurd notion. He explained that he could the state to offer a lesser charge of murder. In the second degree it would take some work but he could get Lisa a reduced sentence if jeff was waiting for. Lisa's family to thank him. He was quickly disappointed instead. Maureen told Jeff that he wasn't the fighter they needed in fact they had retained a new lawyer. His services were no longer required. As Jeff walked out of the room. He was stunned. Lisa's family actually believed she could help orchestrate a murder and walk free. It was madness but it was an insanity that he no longer had to be a part of. Lisa's family soon discovered their hopes that their daughter could walk away with a slap on the wrist. Were woefully misplaced. The families of the other were similarly disappointed after an emotionally taxing trial. The jury handed down their decision for delivering. The signal that led to the first blow of Bobby's killing eighteen year old. Heather swallows was convicted of second degree murder and conspiracy. She served five years of a seven-year sentence and was released on February fourteenth. Nineteen Ninety eight for helping dump. Bobby's still breathing body in the water. Twenty year old Derek diverse. Lisa's cousin was convicted of second degree murder. He was released in. Nineteen Ninety nine for delivering the first stab of the homicidal frenzy that took bobby's life eighteen year. Old Donny. Semak was sentenced to life in prison. He is still incarcerated today for bashing Bobby's head in with a baseball bat thereby delivering the fatal blow twenty year old Derek. Kaufman was convicted of first degree. Murder and conspiracy. He was sentenced to life in prison and is still incarcerated today. For slitting Bobby's throat and gutting him with a scuba knife twenty year old. Marty Puccio was sentenced to death by the electric chair. However in Nineteen ninety-seven his sentence was commuted to life in prison. Mardi is still incarcerated today for the crime of helping to orchestrate the murder of Bobby Kent. Eighteen year old. Lisa Connelly was convicted of second degree. Murder and conspiracy. Lisa served eleven years and was released on parole on February third. Two thousand four as of two thousand thirteen Lisa was living in Pennsylvania with her husband and son daughter she had with Marty. Puccio was raised partially by her grandparents and was last reported attending college out of state and finally for her part in luring bobby to his death seventeen-year-old. Allee Willis was convicted of second degree murder and conspiracy..

Lisa Jeff Sat second degree murder Bobby Marty Puccio murder Jeff Jim Shoots Connelly Derek Allee Willis Kaufman Smith Heather swallows Mardi Florida Donny baseball Semak
"connelly" Discussed on Female Criminals

Female Criminals

11:05 min | 1 year ago

"connelly" Discussed on Female Criminals

"In nineteen ninety three shortly after eighteen year. Old Lisa Connelly had sex with Marty for the first time. He invited her over to his house. Mardi said his parents were out of town for the weekend and he wanted to see her ecstatic. Lisa asked her friends Sharon to drop her off but when she arrived at Marty's and saw that bobby was there. Lisa invited Sharon to join them. She didn't want bobby to feel like a third wheel. What followed was forty eight hours of sex dope and alcohol but while actual intercourse occurred only within heterosexual pairings quote. Some of the play was between Marty and Bobbi always in the form of simulated but not actual sex. When Sharon asked if the two boys were gay bobby burst out laughing and then resumed miming. More sex acts with Mardi but Lisa didn't care she couldn't believe Marty wanted her at all. She was just happy to be there despite the strange relationship between the two boys but her feelings changed when towards the end of the second day. Bobby snapped after seeing a loaf of bread sitting open on the kitchen counter. Bobby accused Marty of leaving it out then before. Lisa's is he dragged Marty to the bedroom and slammed the door shut. Lisa and Sharon sat horrified as they listen to Marty's whimpers and please emanating from the next room as bobby brutally beat him up. When the two merged Marty's right eye was swollen. Shut his mouth puffy and bloody he'd clearly been crying. Bobbie told the girls. It was time for them to go. And that's when Lisa New. Bobby wasn't some irritating presents. She could just ignore. Bobby was a problem coming up. Lisa tries to figure out what to do about Bobby Kent Now. Back to the story in mid nineteen ninety-three eighteen year old. Lisa Connelly was at a loss. She was desperately infatuated with her boyfriend. Marty Puccio but his best friend. Bobby Kent was always around physically abusing marty and to make matters worse bobby had begun encouraging Marty to abuse Lisa. Too early in the summer of Nineteen ninety-three Mardi invited Lisa over to his house when she arrived bobby was waiting there with him. Goaded by Bobby. Mardi made Lisa take off her clothes in front of them then. The two boys beat Lisa with a broad leather weightlifting belt. After which point they both took turns having sex with her taunting her weight. All the while. Lisa didn't blame Marty for the attack. She could see how much control bobby had over him. She decided that the only way to get bobby to leave her and Marty alone was to distract him so she called up her best friend. Allee Willis Ali hadn't spoken to bobby since she'd had sex with him in his car to them. The encounter was just a casual one off and in the months since their rendezvous alley began dating someone else. But Lisa didn't let this dissuade her. She knew that besides starting a new relationship alley had also developed an interest in witchcraft. According to author Jim shoots this involved alley sneaking into cemeteries at night doing drugs. Having sex and muttering Mumbo jumbo incantations taken from comic books so in order to persuade Allie Lisa decided to capitalize on her alternative tastes. Lisa told Allie. That quote. Bobby was into some really weird sex like spooky shit that you wouldn't believe this sparked alleys curiosity so when. Lisa invited her to hang out with her MARDIAN. Bobby Alley eagerly agreed to. Lisa's delight their first double date went really well. Allie and Bobby didn't even have sex instead. They had a sweet conversation about their future. Hopes and dreams. Allie was so impressed by Bobby's goal to open his own car repair shop that she called her mother and told her she'd met a boy who was marriage material but her positive feelings towards bobby wouldn't last the next time. The four teenagers hung out. Bobby and Ali went to Bobby's bedroom to fool around while Lisa and Marty sat in the living room. Allie was excited to have sex with bobby again. She thought he was attractive and was impressed by his surprisingly mature goals. So when bobby shut the door she willingly took off her clothes and looked at Bobby. Her is hopeful but when he responded by popping a gay porn video into the VCR. Allie was stunned suddenly. Bobby pinned her down on. The bed slapped her hard and sexually assaulted her as he did so. He forced alley to tell him that he was the best sex she'd ever had. Allie did crying the entire time afterward. Devastated and furious. Ali decided she was done. She wanted nothing more to do with Bobby Kent and unfortunately for Lisa. This meant that bobby was back to crashing her dates with Marty. He continued physically abusing Mardi and emotionally tormenting Lisa this toxic dynamic war Lisa down. She spent her days anxious and miserable. Feeling hopeless. That she and Marty could find a way out of Bobby's abuse. Things came to a head when Lisa discovered that she was pregnant. Lisa knew she had to tell Marty sooner rather than later so she asked her cousin a sweet unassuming nineteen year old named Derek. Divert go to drive her to Marty's house. Derek was happy to comply. Lisa's mother. Maureen was concerned about Lisa's relationship with Marty and she had asked Derek to look out for Lisa and so derrick drove her to Mars House. Aware that something off was going on between the couple as usual. Bobby was there. Darik agreed to distract. Bobby so Lisa could have a chance to speak to mardy alone. As MARDIAN LISA RETREATED TO THE KITCHEN. Bobby honed in on Derrick. He immediately asked Derek. If you wanted to see something Darik shrugged. Why not then bobby popped a gay porn video into the VCR? Derek was immediately turned off seeing his reaction. Bobby began freaking out. His veins popped from his face. His eyes bulging. He taunted Derek asking quote. What's the matter you don't like my tape man? Unlike Marty who'd been so beaten down that he always gave into bobby. Derek stood up to him. He told bobby that no he didn't like the tape. Not In the slightest. Bobby immediately backed down but before he could eject it from VCR. The two heard a commotion coming from the Kitchen. Derek ran into the other room to see that Marty had Lisa backed into a corner. He was squeezing. Lisa's wrists and screaming. Get the money and get it taken care of. Derek flew into action. He shoved Mardi off Lisa and helped his distraught cousin out of the House as the two drove away. Mardian bobby taunted. Lisa with giggling calls of by by Derek was horrified. He told Lisa that she had to break up with Marty. That both him and bobby were sick. But Lisa wouldn't hear it as far as she was concerned. It wasn't Mardi. That was the problem. It was bobby. He was the one who beat up. Marty he was the one who raped alley and he was the one who made Mardi cruel and provoked him into treating Lisa. Badly without bobby she and would have no problems with her mind still reeling. Lisa called Marty and asked him to meter at the beach. Wants the paramedic up. Lisa told Marty she loved him. She couldn't stand to see Bobby picking on him at first. Mardi Brush Lisa off but she was persistent. She asked why he stayed friends with someone who treated him so badly. Then Marty's voice broke. He confessed to her. That bobby's abuse had been going on for so long that he didn't know how to get out of it he didn't know how to get away from him. Lisa suggested that Marty Move Away. Get Out of town but Marty Shop. The idea down. He didn't even have a high school diploma. How is he supposed to start over know? Marty said the only way to stop. Bobby was to kill him. He Senate is kind of a joke. A piece of dark humor shared between lovers. But Lisa wasn't laughing. Why not she asked. Why couldn't they kill him? Marty looked at Lisa like she was crazy but he loved her brand of crazy. He was Giddy at the concept. Bobby Kent just poof. Lifted out of his life like he'd never existed. Could it be possible? Lisa insisted that it was and after their whispered conversation on the beach. Things began to move at warp speed..

Allie Lisa Mardian bobby Marty Shop Bobby Alley Lisa Connelly Lisa New Mardi Derek Sharon Allee Willis Ali Darik Bobbie Senate Derrick Bobbi Jim Mars House
"connelly" Discussed on Female Criminals

Female Criminals

02:25 min | 1 year ago

"connelly" Discussed on Female Criminals

"Despite. His self professed heterosexuality bobby developed an interest in gay pornography and before long. He introduced Marty to his new passion. According to Jim Shoots Marty was revolted. Not so much. The sexual aspect of what was going on in the videos. But by the cruelty bobby's porn skewed towards the sadistic with overtones of brutality torture and compulsion but when Marty turned away from disturbing images on the screen bobby straddled him and yanked him by the hair forcing Marty to watch. But Bobby's interests didn't at watching gay porn soon. He began expressing a desire to film and distribute a pornographic film of his own. Soon he dragged Marty to the Copa a local gay cabaret and disco and pressured him to perform a striptease. Marty had no desire to dance in a gay bar but he'd learned the consequences of denying bobby so he gave in at first eighteen year old. Marty was nervous to take his clothes off in front of a full club. But Soon Marty who had always struggled with low self esteem began to enjoy the attention from the crowds of men. He reveled in their whoops and cheers as he sensually took off one piece of clothing. After another but bobby hated that Marty was enjoying himself. According to Jim shoots though bobby was the one who forced Marty to watch gay porn and pressured him to dance at the COPA. He flew into a rage whenever he decided Marty was in fact acting gay. It was in these moments. That bobby subjected marty to his most brutal. Beatings but bobby decided. The physical abuse wasn't enough to ensure that Marty didn't quote turn gay. He insisted that Marty have sex with women. But Bobby was the one who decided who Mardi slept with and he demanded that Marty only have sex with quote fat girls and this is where Lisa Connelly came in.

Marty bobby COPA Jim Lisa Connelly Mardi
"connelly" Discussed on Female Criminals

Female Criminals

03:38 min | 1 year ago

"connelly" Discussed on Female Criminals

"Just before Christmas in one thousand nine hundred ninety two eighteen year old Lisa and seventeen year old alley. We're hanging out having the same argument. They always did. Lisa complained about her appearance comparing herself. Unfavorably to Allie but Ali refused to hear it she insisted. Lisa look just fine. Besides catching a man had nothing to do with looks. According to her it was all about attitude confidence then. Allie had an idea she Dr Lisa to a swimwear store at the local mall. Her mother's credit card in hand. Then under alleys encouraging. I Lisa tried on bathing suit after bathing suit. Finally Ali crowed at the site of a particular one piece. It was perfect. She insisted Lisa had to have it. Allie march to the cash register and charged the suit to her mom's card. The one piece cost almost one hundred dollars. But allie didn't blink. It was a small price to pay for her friends. Happiness and Lisa did feel happy hanging out with Alli always had that effect on her when they were together. She always felt optimistic like anything she wanted could be hers for the taking and when she and Allie stopped for lunch at the public supermarket. This feeling grew there at the Deli counter. Lisa saw Martin Marty Puccio for the very first time. Even in the ugly fluorescent light nineteen year old Marty appeared to Lisa like a God. A specimen of physical. Perfection ripped straight off of her bedroom wall. She drank him in her eyes raking over his bulging biceps. His Pretty Hazel is Lisa's reverie was interrupted when the boy standing next to Marti Astor. What was in her shopping bag at five foot? Eight nineteen year. Old Bobby Kent was equally handsome but there was a hard glint in his dark brown. Is Lisa informed bobby that she just purchased a swimsuit to? Lisa's surprise bobby responded by shoving Marty so hard that he stumbled. Then bobby snickered and said ask the bitches to meet US at North Beach. Will Party. Marty did as bobby commanded inviting Lisa and Ali to the beach. Lisa eagerly accepted his invitation. Her heart soaring. But then bobby cut in again. He looked at Lisa with a smirk. An informed the girls that Ali would be his date since Marty was into full figured girls. Lisa shrank humiliated but as the girls walked out of the supermarket. Lisa couldn't help but feel elated. Bobby's words couldn't erase her excitement. She had a date and not just any date. Lisa Connelly the girl who was abandoned by her father and ignored by all the boys at school had a date with a bona fide dream boat. It was a miracle and in the face of all that Bobby Kent was irrelevant.

Dr Lisa Martin Marty Puccio Allie bobby Ali Alli US North Beach Marti Astor
"connelly" Discussed on Female Criminals

Female Criminals

01:35 min | 1 year ago

"connelly" Discussed on Female Criminals

"Picture a murderer. A- gangster a thief. Did you picture a woman? We didn't think so- society associates men with dangerous crimes. But what happens when the perpetrator is female every Wednesday? We examined the psychology motivations and atrocities of female criminals. Hi I'm Vanessa Richardson. And you're listening to female criminals of podcast original. You can find episodes of female criminals and all other podcast originals for free on spotify or wherever you listen to podcasts to stream. Female criminals for free on spotify. Just open the APP and type female criminals in the search bar at podcast. We're grateful for you our listeners. You allow us to do what we love. Let us know how we're doing reach out on facebook and Instagram at par cast and twitter at podcast network? Today we're discussing Lisa. Connelly and Alice Willis Lisa and Alice were to Florida Teens. Whose friendship turned homicidal as they bonded over their common enemy. Alice's ex boyfriend. Bobby Kent next week will explain how old Lisa analysis persuaded a group of teenagers into murdering Bobby Kent in cold blood and finally will delve into the trial that followed the crime as well as its profound effect on the lives of all the teens involved..

Alice Willis Lisa Bobby Kent spotify Florida Teens Vanessa Richardson facebook twitter Connelly Instagram
For a President Who Loves Crowd Size, India Aims to Deliver

Stephanie Miller

00:41 sec | 1 year ago

For a President Who Loves Crowd Size, India Aims to Deliver

"A crowd estimated to close to one hundred thousand are gathering in a giant stadium in western India degree president trump on his first state visit to that country correspondent Sam Connelly has more on what to expect the United States the

Sam Connelly United States India President Trump
No. 19 Michigan survives double overtime against Purdue

AP News Radio

00:42 sec | 1 year ago

No. 19 Michigan survives double overtime against Purdue

"It's a double overtime for number nineteen Michigan to get the victory over very gritty Purdue team eighty four to seventy eight it was senior guard Xavier Simpson that led the team late in the game animals overtimes he finishes with twenty two points and nine assists the day I was looking at the defense out I never really watched a man is going always watched the surroundings or around him and is there with a couple times were the other Paducah as his were kind of turned towards me did take your but in the second half for Connelly the game in overtime I seen a couple times and that's when I knew I got you know technically months into his victory the Boilermakers had a chance to win in regulation but sophomore four trillion Williams missed an easy buckets Williams with a career night to lead producer thirty six points and twenty rebounds Marty Martin Anne Arbor Michigan

Xavier Simpson Paducah Connelly Boilermakers Williams Producer Michigan Purdue Marty Martin Anne
Celebrations in Spain as Winning Ticket for 'Fat One' Lottery Revealed

BBC World Service

00:52 sec | 1 year ago

Celebrations in Spain as Winning Ticket for 'Fat One' Lottery Revealed

"Spain's Christmas lottery is one of the country's most long awaited traditions this time of year as well as the lottery with the biggest jackpot in the world is known as el Gordo or the fat one and the winning number this year was found primarily in Catalonia Allen released her role has more these years duck boat amounted to two point forty three billion dollars surpassing by almost a billion dollars the largest pay out in the U. S. power ball there are multiple ticket holders with the winning number worth more than four hundred thousand dollars each celebrations are up to near Barcelona where most of the lucky numbers were sold as well as older Spenny stones like Solomon Connelly gone there the lottery played every year on December twenty second is an old tradition that dates back to center is and remains an essential part of the holiday season in Spain the numbers are announced on live television by a chorus of singing children from the signing the phone so school which is even older than a lot of

Spain El Gordo Catalonia Allen Barcelona Solomon Connelly Four Hundred Thousand Dollars Forty Three Billion Dollars Billion Dollars Twenty Second
"connelly" Discussed on Monocle 24: Meet the Writers

Monocle 24: Meet the Writers

02:24 min | 2 years ago

"connelly" Discussed on Monocle 24: Meet the Writers

"I think he's a very healthy thing. I used to on shortwave radio which was necessary. Because of course, there was no internet, and you couldn't reach people who far away the internet has revolutionized global listening. It has it has. I mean, I listen to most of my radio through the incident now from sitting at my desk on in the background through the laptop and this so much variety and his most of his in terms of technical aspects. It's crystal clear as well. Don't get in that that hasten flutter and their Stater finally tremendous thing who radio garden have you seen this? It's an app, and you can get on a website as well. And it's the globe appears this sheet of green dots spreads across the globe. And it's all the internet radio stations that you can you can listen to and you can zoom in on a place, and as many does the old kind of sand of radio tuning fashion radio. Tuning. But then you're live on a place in say, another Faeroe Islands or something like that. And suddenly Faeroes radio is coming through the internet. And it's a brilliant brilliant thing. I mean us, but hours just surfing around the world, basically, and I won't be able to do that before the internet or without the internet. So internet radio Mike's local radio international and global you can eavesdrop on Greenland station or station in the south of FRANZ and hear what people are worried about what they're phoning in about what music that into. So I think the internet has been a terrific thing for radio this book is so fabulous. It's a social history. It's a travelogue. It's wonderful examination of this meeting that I and I'm sure I listen love because they are listening. And I would up through the people to pick it up because you have so many wonderful stories about some of the really big characters a lot of historical detail and just really at the core of it this real real love of radio. So as you say in your book, we all radio people, Charlie. Thank you so much for coming on to speak to us last trying to help them is by Charlie Connelly, a journey in search of the magic of radio it's published by Bloomsbury, and it's out now. He's been listening to meet the writers thanks to the production team of judgement on and Christie Evans. You can download this show and previous episodes from our website up from soundcloud, mixed cloud, or I choose I'm Godwin. Thank you for listening..

Charlie Connelly Faeroe Islands Greenland station Christie Evans Godwin Mike
"connelly" Discussed on The Vertical Podcast with Woj

The Vertical Podcast with Woj

01:45 min | 4 years ago

"connelly" Discussed on The Vertical Podcast with Woj

"Hey everyone welcome into the woge pod i'm here in denver with my guest nuggets president of basketball operations tim connolly we talk about the nuggets and about their great young star nicola yokich but we also talk about the life and job of a top nba executive how trades and deals are made and what outside factors tim thinks often now make gms hesitant to do deals we talk about that and a lot more all around the league with denver nuggets president of basketball operations tim connolly here we go tim connelly president of the denver nuggets tim argument i'm good how are you i liked the view here from your office chopper place in denver of the 6 flags amusement park which is a rare downtown yeah utter slide i have a person you've got it correct president bethel operations and sorry josh josh get in trouble yeah i look at the waterslide all the did you get new business cards for that the zoo isn't arts the gm do know a business cards yes the business cards are needs kind of i feel like an idiot when i say we'll know what is your title in a kind of quietly say it so when you're in here working like kids are out there on going up and down the slide could tell you almost to the second how long it will take you to get on the water slides depend on how many what steps you are on on the kind of the tower it's really neat it's beautiful to you in the mountains in the background but during the summer that places packed in my easiest views of of the water park so it it definitely loves it a little bit makes you um wish your kid again there's always that feeling some of us get around.

denver nuggets nicola yokich executive president gm president of basketball operat tim connolly nba tim tim connelly denver nuggets josh josh
"connelly" Discussed on The Woj Pod

The Woj Pod

01:45 min | 4 years ago

"connelly" Discussed on The Woj Pod

"Hey everyone welcome into the woge pod i'm here in denver with my guest nuggets president of basketball operations tim connolly we talk about the nuggets and about their great young star nicola yokich but we also talk about the life and job of a top nba executive how trades and deals are made and what outside factors tim thinks often now make gms hesitant to do deals we talk about that and a lot more all around the league with denver nuggets president of basketball operations tim connolly here we go tim connelly president of the denver nuggets tim argument i'm good how are you i liked the view here from your office chopper place in denver of the 6 flags amusement park which is a rare downtown yeah utter slide i have a person you've got it correct president bethel operations and sorry josh josh get in trouble yeah i look at the waterslide all the did you get new business cards for that the zoo isn't arts the gm do know a business cards yes the business cards are needs kind of i feel like an idiot when i say we'll know what is your title in a kind of quietly say it so when you're in here working like kids are out there on going up and down the slide could tell you almost to the second how long it will take you to get on the water slides depend on how many what steps you are on on the kind of the tower it's really neat it's beautiful to you in the mountains in the background but during the summer that places packed in my easiest views of of the water park so it it definitely loves it a little bit makes you um wish your kid again there's always that feeling some of us get around.

denver nuggets nicola yokich executive president gm president of basketball operat tim connolly nba tim tim connelly denver nuggets josh josh