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Speaker 1: To go in the morning break You're about to experience

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Speaker 1: a morning showing like any yo to the breakfast club.

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Speaker 1: What you guys are doing right now, that's the hump culture.

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Speaker 1: Breakfast club is my morning sick. I need it and

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Speaker 1: I love it. Something you like, You're really not popping

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Speaker 1: until you do the breakfast clause. I've been waiting come

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Speaker 1: to y'all show man. I know you gotta be a

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Speaker 1: big time celect me to be up and here you

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Speaker 1: gotta be got to be big time Jen angela ye

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Speaker 1: and Charlomagne the Guy the breakfast club bitches, take your

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Speaker 1: good morning Usa yo yo yo yo yo yo yo

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Speaker 1: yo yo yo yo yo yo yo yo yo yo

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Speaker 1: yo yo yo yo yo yo yo yo yo yo

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Speaker 1: yo yo yo yo yo yo yo yo yo yo

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Speaker 1: yo yo yo yo yo Good morning, angela Ye, Good morning,

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Speaker 1: Charlomagne the Guy. Peace to the planet is Monday, Good morning,

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Speaker 1: Good morning. How y'all feel lot now Monday? Back to

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Speaker 1: the workwek How is everybody's weekend pretty good? I opened

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Speaker 1: my coffee shop, so that was exciting. I was there

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Speaker 1: all weekend. Yeah, it's doing pretty well so far. It's

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Speaker 1: been really really busy so I'm grateful for that for

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Speaker 1: everybody that's come out. We're only open from eight am

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Speaker 1: to two pm until after Thanksgiving. It's kind of like

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Speaker 1: a soft opening while we're getting everybody trained properly, getting

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Speaker 1: it all together, seeing what has to be fixed. But

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Speaker 1: it's doing great. Coffee is a great business. Congratulations. Caffeine

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Speaker 1: is like a like a legal drug. Yeah no, and

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Speaker 1: it's actually really good for you. I always talk about

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Speaker 1: the health and if it's a coffee, it helps with diabetes,

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Speaker 1: it helps prevent Parkinson's. It's an appetite to pressing. It

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Speaker 1: gives you energy. It's just when people add all that

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Speaker 1: cream and sugar that's what makes coffee not so good. Okay,

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Speaker 1: I never drink coffee, but I'm gonna try. I'm gonna

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Speaker 1: come to your shop this week. I said that somebody

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Speaker 1: was looking for you too. Yeah, I've seen. Thanks for

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Speaker 1: the video. And we start with oat milk too, because

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Speaker 1: we don't like you know how a lot of times

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Speaker 1: place it's up charged for oat milk. But if you

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Speaker 1: oat milk off the bat unless you requests something else. Yeah,

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Speaker 1: I'm gonna try that now over the weekend. My daughter,

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Speaker 1: who acts she's an actress. She had her play over

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Speaker 1: the weekend, which was pretty cool. So I was by

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Speaker 1: her play watching her. Plan went to a couple of

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Speaker 1: shows just to check her out. Of love seeing her

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Speaker 1: be happy. I love seeing her acting. So I was

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Speaker 1: there and I was also in Indianapolis. Shout to Happy

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Speaker 1: birthday to dry En. I believe that's her name. She

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Speaker 1: turned fifty. Her husband through her a big party in Indianapolis,

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Speaker 1: a private party. It was Me, Jazzy, Jeff and Trey songs.

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Speaker 1: I ran into Trey. So Trey sends his love to

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Speaker 1: everybody up here. Trigger this listening in some Trey songs

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Speaker 1: earlier over the weekend. Now, he was telling me about

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Speaker 1: the best thing in his life and the best thing

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Speaker 1: that has ever happened to him, his child. He was

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Speaker 1: so excited and he was telling me everything about the

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Speaker 1: baby and everything. So Trey and this was in the club.

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Speaker 1: This was in the middle of the club. Me and

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Speaker 1: Trey was talking about kids, which was so funny. So

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Speaker 1: you'll too old to be in the club. When you're

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Speaker 1: in the club and you're talking about your kid, you

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Speaker 1: don't need to be in the club no more. The

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Speaker 1: statue of limitations on your club appearances has expired because

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Speaker 1: you really don't want to be there. Um. Yeah, no,

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Speaker 1: we were both. We were both excited to be there,

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Speaker 1: but we just haven't seen each other in a long time.

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Speaker 1: So when you see somebody, you catch up, no matter

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Speaker 1: where you're at, if you at the airport or if

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Speaker 1: you're on the street or in the club. You know,

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Speaker 1: we were talking about that. We did that for a

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Speaker 1: little bit and then we got back to you know,

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Speaker 1: I had the DJ and he did what he did

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Speaker 1: to get back to your families and now we DJ first,

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Speaker 1: but in the morning we was back. All right, Well,

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Speaker 1: let's get the show cracking. Now, we got some special

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Speaker 1: guests joining us today, right, Doctor Sanjay Gupta's going to

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Speaker 1: be here, that's right. I know we always have a

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Speaker 1: lot of questions about COVID, about the vaccine, So we

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Speaker 1: have an expert who's been following this and studying this

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Speaker 1: every single day for the past couple of years. Yeah,

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Speaker 1: he has a new book called World War C Right. Yeah,

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Speaker 1: so we'll kick it with him in a little bit

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Speaker 1: right now, Front page News what we're talking about. But look,

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Speaker 1: this morning, we are going to talk about this bipartisan

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Speaker 1: infrastructure bill throughout the morning. But we also have some

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Speaker 1: other stories as well. You know, today's a big day

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Speaker 1: as airline are preparing for a travel surge. We'll tell

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Speaker 1: you about that, all right, we'll get into all that next.

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Speaker 1: Keep it locked. It's the Breakfast Club. Good morning, bj

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Speaker 1: M v Angela. Ye, Charlemagne, the guy we are, the

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Speaker 1: Breakfast Club's getting some front page news now over the weekend.

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Speaker 1: The Falcons are in football. Falcons beat the Saints. The

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Speaker 1: Browns beat the Bengals, Dolphins beat the Texans, the Chiefs

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Speaker 1: beat the Packers, Titans beat the Rams, the Cardinals beat

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Speaker 1: the forty nine is, The Chargers beat the Eagles, Ravens

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Speaker 1: beat the Vikings, Patriots beat the Panthers, Jaguars beat the Bills.

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Speaker 1: My Giants are now in second place. They beat the

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Speaker 1: Raiders twenty three sixteen, And Charlemagne, I'm sending you healing energy.

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Speaker 1: The Broncos beat the Cowboys thirty to sixteenth. They got

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Speaker 1: washed washed yesterday. We're still six and two and number

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Speaker 1: one on top of the NFC. EA's with a bullet.

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Speaker 1: It's not even close. Yeah, now we're tired of a second.

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Speaker 1: We'll beat that show, Yes we will. And Monday Night

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Speaker 1: Football the Steelers take on the Bears. Now Canelo Alvarez,

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Speaker 1: he won, he beat planned over the weekend, becomes undismuted

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Speaker 1: super middleweight chan mping with an eleventh round t K

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Speaker 1: amazing fight man. Canelo Alvara is just too good man,

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Speaker 1: It's too good. Plant fought well, but you know, the

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Speaker 1: way he was fighting just wasn't sustainable. He was thinking

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Speaker 1: way too much punishment and leaving that left hook hopen

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Speaker 1: for Canello all night and that's ultimately what took him out.

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Speaker 1: But travel includes bonds with Canelo Alvaraz can understand nothing

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Speaker 1: that just came out of my mouth. I still drown

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Speaker 1: the drop on a cludes bonds for right now? What else?

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Speaker 1: And also Odell Beckham Junior was released from the Browns

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Speaker 1: over the weekend too, actually Friday on his birthday, So

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Speaker 1: not sure what team he's going to, but it looks

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Speaker 1: like he wants to go to the Seahawks. But we'll

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Speaker 1: see what else you got easy? Well? Airlines are preparing

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Speaker 1: for an international travel surge because they have ease COVID

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Speaker 1: restrictions here in the United States, so everything reopens today

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Speaker 1: to fully vaccinated visitors. And so now right now they're

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Speaker 1: saying they've seen a four hundred and fifty percent increase

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Speaker 1: in international plant of sale bookings versus the six weeks

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Speaker 1: prior to the announcement. That's just for Delta. So they

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Speaker 1: are saying guidelines require or non citizen travelers to provide

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Speaker 1: proof they've been fully vaccinated prior to boarding a flight

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Speaker 1: to the US. All passengers, including US citizens, will be

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Speaker 1: required to test negative for COVID within three days of

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Speaker 1: a flight's departure as well. All right, now, here is

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Speaker 1: what's in the bipartisan infrastructure bill that Congress just passed. It.

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Speaker 1: It's a one point two trillion dollar infrastructure package that

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Speaker 1: got passed on Friday, And this is something that's been

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Speaker 1: in the works for quite some times. Democrats are saying

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Speaker 1: this bill pays for itself through a multitude of measures

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Speaker 1: and without raising taxes. But here is what's in the

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Speaker 1: infrastructure bill. It's going to create jobs, replacing lead water

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Speaker 1: pipes so every American, every child can drink clean water,

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Speaker 1: improving their health, and putting plumbers and pipe for their work.

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Speaker 1: How long we've been talking about that. It's a gigantic issue. Yeah,

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Speaker 1: that should have been a no brainer for so long.

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Speaker 1: And then there's funding for roads and bridges, money for

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Speaker 1: transit and rail, broadband upgrades, upgrading the airports, the ports,

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Speaker 1: the water electric vehicles, improving power and water systems, environmental remediation.

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Speaker 1: And here is what Biden is saying about how this

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Speaker 1: will all be paid for. That's a lot of money, guys,

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Speaker 1: one point two trillion dollars. And this bill is fiscally responsible.

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Speaker 1: That's a fancy way of saying it's fully paid for.

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Speaker 1: It doesn't raise the deficit by a single penny, and

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Speaker 1: it actually reduces the deficit, recording the leading economists in

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Speaker 1: this country over the long term. And it's paid for

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Speaker 1: it by making sure that the wealthiest Americans, the biggest

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Speaker 1: corporations began to pay their fair share. And so, and

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Speaker 1: keep my campaign commitment, it does not raise a single

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Speaker 1: penny in tax for anyone making less than four hundred

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Speaker 1: thousand dollars a year. Well, how many compromises they need

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Speaker 1: to get that done? Because they did leave a lot

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Speaker 1: on the table two point two point twenty five trillion

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Speaker 1: dollars bill. Well, they have to leave out money for

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Speaker 1: caregiving for aging and disabled Americans. They were going to

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Speaker 1: spend four hundred billion on that that's a left out. Also,

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Speaker 1: his proposed it would have expanded access to long term

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Speaker 1: care services under Medicaid, and that's left out. It also

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Speaker 1: would have improved the wages of home health workers, who

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Speaker 1: make about twelve dollars an hour now. Also one hundred

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Speaker 1: billion dollars for workforce development, which would have helped dislocated workers,

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Speaker 1: assist underserved groups, put students on career paths before they

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Speaker 1: graduate high school. Also money to modernize VA hospitals. That's horrible,

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Speaker 1: especially being at Veterans Day. Is this Thursday, Like, how

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Speaker 1: you leave about eighteen billion dollars, you know, to modernize

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Speaker 1: the VA hospitals. Also corporate tax hikes that Biden wanted

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Speaker 1: to use to pay for the American Jobs Plan. A

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Speaker 1: lot of things have been left out in order to

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Speaker 1: get this pass. Corporate people say no, no, no, no,

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Speaker 1: you won't be raising taxes on us. All right, Well

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Speaker 1: that is your front page news. We'll talk about this

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Speaker 1: more in the next hour. All right, Now, get it

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Speaker 1: off your chest. Eight hundred five one five one. If

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Speaker 1: you need to vent phone lines to wide open, hit

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Speaker 1: us now. It's to breakfast club. Go morning. The breakfast

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Speaker 1: club is your time to get it off your chest,

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Speaker 1: whether you're man or blast, so people to have the

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Speaker 1: same in We want to hear from you on the

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Speaker 1: breakfast clubs. Hello, he's this. What's up, guys? This is

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Speaker 1: Joe Man of Morning. Everybody Happy Monday, Joe? What up? Men?

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Speaker 1: Getting off your chests, brothers, I want to get off

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Speaker 1: my chests. These cowboys, man, you know, I mean, you score,

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Speaker 1: He's a super Bowl winning team and you get it

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Speaker 1: banked like that Charlemagne? What you got to say? Man?

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Speaker 1: I know you're not serious, right, you know this is

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Speaker 1: the NFL any given Sunday schoo make Two weeks ago

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Speaker 1: you had brag to me like, oh man, super Bowl,

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Speaker 1: these Super Bowl contendants, Cowboys, we're going on so because

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Speaker 1: we're six and two and lost the game to a

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Speaker 1: four and fourteen. Every year, every year with the Cowboy,

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Speaker 1: y'all went in the beginning and y'all losing player Quin

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Speaker 1: how many how many regular season games did the Bucks

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Speaker 1: lose last year? I think it was like ten or twelve. No,

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Speaker 1: they didn't. They won't the Super Bowl playoffs about ten

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Speaker 1: and twelve other thing of the year before. I'm thinking

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Speaker 1: about the year before that. My apologies, it happens broady,

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Speaker 1: we'll be fine. Me. I want to shout out the

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Speaker 1: traff or somebody who gave me a shout out after

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Speaker 1: I had come. Yeah, you don't have the energy for

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Speaker 1: your that's about to your car show anymore, and I

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Speaker 1: want to use I think it was trash. It would

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Speaker 1: have a good shout out, man. You know, thanks man

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Speaker 1: for shouting me out. You know, I try to pick

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Speaker 1: up a good point. When you got trapping a call

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Speaker 1: this morning. Man, we'll just send them healing energy. Yeah,

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Speaker 1: healing energy. Happy more than everybody. Travis definitely gonna call

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Speaker 1: cowboy fans. Ain't hiding, bro we're six and two. Were

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Speaker 1: you talking about Hello, who's this Joe Jersey man? You

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Speaker 1: like so may find too quick? Man, If that was

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Speaker 1: with a one man, he be talking about that day

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Speaker 1: we're gonna run. How they got blown out? They got

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Speaker 1: blown out? My giants that they didn't get that, baby,

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Speaker 1: I know you're not sitting there bragging about your giants.

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Speaker 1: How many games your giants won? This you tell me

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Speaker 1: a second place though, we are number two. That man

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Speaker 1: shut up number one and y'all got blown out. That's right,

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Speaker 1: that's that's fine. Let me ask you a question would

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Speaker 1: you have rather take it that, taking that blowing out

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Speaker 1: yesterday and be six and two or do what y'all

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Speaker 1: did yesterday and be two and six or three and

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Speaker 1: five or whatever the hell y'all. Love doesn't matter, Yes,

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Speaker 1: it does matter. What is it? Win? There? You go?

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Speaker 1: Any given Sunday? What is it you giving? Sunday's cowboys lost? Stop?

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Speaker 1: It be six and two? Thank you, sir? All right,

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Speaker 1: bron Hello, who's this? If morning? Is Mickey calling from Florida?

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Speaker 1: How are y'all doing this morning? They NICKI get it

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Speaker 1: off your chest? Oh, just a couple of things. First

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Speaker 1: of all, doctor Chargamay, how about our cowboys? How about

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Speaker 1: them cowboys? I mean, we lost yesterday, but it's fine.

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Speaker 1: Any given Sunday, we're still six and two out there,

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Speaker 1: actually exactly one day. I don't mean nothing, that's right. ANTHELI,

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Speaker 1: how are you doing this morning? Congratulations on the coffee shop?

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Speaker 1: Thank you so much. I hope you're doing well too. Listen,

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Speaker 1: I'm just you know, with Monday contains, I'm trying to

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Speaker 1: get into the zone. But I had a couple of questions.

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Speaker 1: What's up now with the new infrastructure bill? Of course,

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Speaker 1: this is that they pushed aside the Police perform at right. Oh, yeah,

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Speaker 1: that's not happening. I just read a story about what

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Speaker 1: is his name, Marion Robinson. Now they're trying to push

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Speaker 1: the case with the federal agents who shot him, and

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Speaker 1: they're saying that the Police Perform Act could have helped

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Speaker 1: them with that. But Dow therezation that they're not going

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Speaker 1: to be afferent properly in my cade. Yeah, the George

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Speaker 1: Floyd policing bill is dead in the water for now.

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Speaker 1: Love that all right? And then the second thing was

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Speaker 1: the afterworld situation. Angela. I know you're probably gonna talk

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Speaker 1: about it in the rumor report, but how do y'all

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Speaker 1: feel about that home in fire situation? Man? While they're

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Speaker 1: still investigating. I just feel like it's such a tragedy.

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Speaker 1: I feel awful for people who lost their kids and

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Speaker 1: family members. I saw a fourteen year old died, a

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Speaker 1: sixteen year old. Just terrible situation. So we'll tell you

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Speaker 1: what information we do have from all different sides. But

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Speaker 1: I always always thought that majority of those festivals, something

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Speaker 1: like that was bound to happen, though, I mean, it's

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Speaker 1: just because there's so many people. You're right, You're right,

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Speaker 1: because remember back in the day when MTV was going

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Speaker 1: they had the woodstock fred Durson lymp Biscuits got called

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Speaker 1: out on all that Ryan and stuff, and after that

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Speaker 1: they were like, yeah, no more, no more, We're not

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Speaker 1: doing it. It's too crazy, it's too many people. We

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Speaker 1: are not built for this. So I think it's kind

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Speaker 1: of why I'm especially sin That's how this describing the

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Speaker 1: second incident with some craziness like this. Yeah, you know,

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Speaker 1: the majority of festivals don't have issues like this, so

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Speaker 1: I think they're just gonna have to figure out how

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Speaker 1: to make sure this doesn't happen. Ever, again, you can't

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Speaker 1: blame the artist though you know he was there performing.

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Speaker 1: I don't think you could blame the artist, you know,

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Speaker 1: I mean, I just think they need to, like, like

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Speaker 1: he just said, they need to figure out how does

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Speaker 1: some festivals work and how some don't. And that's the

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Speaker 1: reason why, like and when my kids go to the festival,

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Speaker 1: my kids went to roll aloud. You know, for my son,

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Speaker 1: I had somebody go with them, not to necessarily protect

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Speaker 1: him because my son is is a huge football strength,

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Speaker 1: but just to guide him in the right way to

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Speaker 1: see things that he might not see. You know, like, hey,

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Speaker 1: let's not go in that crowd over there because it

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Speaker 1: can't get a little crazy come out inside. I will

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Speaker 1: say that from what I read, it was really nothing

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Speaker 1: you could do if you was in that crowd. It

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Speaker 1: was like there was like there was like people with

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Speaker 1: drowning and people. Yeah, yeah, it's crazy. It's just crazy

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Speaker 1: enough to think, you know, with shootings and all that

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Speaker 1: other stuff. You just now had to be worried about

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Speaker 1: people just being so amped up, ye hyped up and yeah,

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Speaker 1: like being trampled. It's crazy. Coll condolences. Actually, I just

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Speaker 1: wanted to call in, get that off my chest less

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Speaker 1: Sharga may know the Cowboys, you're going to the super Bowl.

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Speaker 1: We out here, baby j S. Congratulations on the new

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Speaker 1: Queens and y'all's lives. He is getting ready to pop

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Speaker 1: any day now, ya know. I won't be here you

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Speaker 1: too too. Yeah, congratulations, y'all had a great day. Say

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Speaker 1: blast just spending positive energy to all of us to

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Speaker 1: that I like her, Get it off your chest. Eight

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Speaker 1: hundred five eight five one O five one. If you

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Speaker 1: need to vent, hit us up now. It's the Breakfast Club.

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Speaker 1: Good morning, the Breakfast Club. Listen, Oh the go go

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Speaker 1: report got it's all right. Well this Astro World Festival

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Speaker 1: over the weekends. A lot of details are emerging right now.

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Speaker 1: Is that they are investigating what happened. At least eight

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Speaker 1: people between the ages of fourteen and twenty seven were

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Speaker 1: killed during a crowd surge at the festival in Houston.

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Speaker 1: It was a group of about fifty thousand people in attendance.

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Speaker 1: Hip Hop DX editor in chief Trent Clark, who has

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Speaker 1: been to several of Travis Scott's performances, said Travis Scott's

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Speaker 1: Hole aesthetic is about rebellion. The shows have a lot

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Speaker 1: of raging. With the death of punk rock, hip hop

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Speaker 1: has indeed adopted and patterned the new generation of mag pits.

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Speaker 1: It's not uncommon to see a lot of crowding and

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Speaker 1: raging or complete wild behavior at a Travis Scotts show.

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Speaker 1: So to my guy, Trent Man dropping a clue box

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Speaker 1: for TRNK cluk my guy all right now. The Mayor

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Speaker 1: of Houston, Sylvesta Turner, said the city had more security

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Speaker 1: at Travis Scott's Astro World Festival on Friday than it

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Speaker 1: did during the World series, but they are doing a

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Speaker 1: thorough review and investigation into the event. They said, we

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Speaker 1: had more security, like I said, than at the World Series,

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Speaker 1: and they did send hundreds of officers to the event

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Speaker 1: in addition to about two hundred and fifty non police security.

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Speaker 1: So they said about fifty thousand people were compressed towards

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Speaker 1: the stage at around nine thirty a pm while Travis

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Speaker 1: Scott was performing, and unfortunately, like we said earlier, eight

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Speaker 1: people did die. The youngest person who was injured was

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Speaker 1: ten years old. So in total, seventeen people were transported

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Speaker 1: to nearby hospitals, eleven experienced cardiac arrest, and more than

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Speaker 1: three hundred people were treated at the scene. Now, the

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Speaker 1: Houston Police Chief, Troy Finner, also discussed what happened and

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Speaker 1: he said he warrened Travis Scott about ashto World about

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Speaker 1: the crowd there prior to the event. He did express

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Speaker 1: concerns about the crowd and that he said, according to

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Speaker 1: the police chief, he said somebody he knows personally, Warren's

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Speaker 1: Travis Scott also as well. Another thing that he's talking

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Speaker 1: about is narcon. They had to use Narcon on a

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Speaker 1: security officer at Astorworld. They said that one of the

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Speaker 1: security was actually pricked and they had to use that

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Speaker 1: because he did end up becoming unconscious, and narkhan is

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Speaker 1: an emergency treatment for opioid overdoses. So we don't know

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Speaker 1: what somebody pricked into that individual's neck. But here is

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Speaker 1: Houston Police Department Chief Troy Finner discussing. I will tell

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Speaker 1: you one of the narratives was that some individual was

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Speaker 1: injecting other people with drugs. We do have a report

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Speaker 1: of a security officer, according to the medical staff, that

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Speaker 1: he was reaching over to restrain or grab a citizen

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Speaker 1: and he felt a prick in his neck. When he

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Speaker 1: was examined, he went unconscious, they administer narkhan, he was revived,

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Speaker 1: and the medical staff did notice a prick, right, So

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Speaker 1: they're still investigating that. They don't know what that could

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Speaker 1: have been that was injected into his neck. Now another

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Speaker 1: man is speaking out, Kyle Green. He said he became

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Speaker 1: parallel at a twenty seventeen Travis Scott concert in New York.

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Speaker 1: He said he was at terminal five and he was

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Speaker 1: reportedly pushed from a third full of balcony during the performance.

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Speaker 1: And it was a severely crowded event. And so they

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Speaker 1: also are discussing previous incidents that happened with Travis Scott.

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Speaker 1: He did plead guilty to reckless conduct charges following Lallapalooza

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Speaker 1: back in twenty fifteen, he encouraged fans to jump the

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Speaker 1: safety barricades, according to authorities. In twenty seventeen, he was

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Speaker 1: arrested after authorities accused him of inciding a riot during

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Speaker 1: a concert at the Walmart Arkansas Music Pavilion. A security guard,

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Speaker 1: police and others reportedly suffered injuries, and as a result,

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Speaker 1: he did plead guilty to disorderly conduct in a plea deal.

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Speaker 1: Need to do none of that in this situation, or

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Speaker 1: do what any of that stuff that he was previously

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Speaker 1: accused the door oh, inciding a riot. No, as a

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Speaker 1: matter of fact, he did stop the crowd several times,

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Speaker 1: and he did stop his show to try to get

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Speaker 1: help for people at different times. So I would have

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Speaker 1: to ask, you know, what's the point of reporting on that,

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Speaker 1: because it kind of feels like when you know, somebody

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Speaker 1: gets in trouble with the police and then they start

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Speaker 1: bringing up their past record, like what's the point of that. Now, Well,

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Speaker 1: they're still investigating, so they're trying to see if there

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Speaker 1: was something more that could have been done, if there's

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Speaker 1: a history of things. Maybe security should have been up,

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Speaker 1: maybe they need to have more provisions. There's lawsuits right now,

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Speaker 1: which we'll get into, but Travis Scott did say this.

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Speaker 1: I just want to send out prayers to the ones

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Speaker 1: that was lost. We're actually working right now to identify

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Speaker 1: the families so we can help assist them through this

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Speaker 1: tough tim Our fans really mean the world to me.

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Speaker 1: And any time I can make out, you know, anything

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Speaker 1: that's going on, you know, I just stop the show,

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Speaker 1: and you know it help them get the help they need.

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Speaker 1: You know. We've been working closely with everyone to just

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Speaker 1: try to get to the bottom of this. I'm honestly

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Speaker 1: just devastated and I could never imagine anything like this

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Speaker 1: just happening. I love you all. Yeah, I don't know

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Speaker 1: what happened in this situation. I mean, it's easy to

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Speaker 1: blame the artists, but the artist is not in control

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Speaker 1: of the space. The artist is in control of how

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Speaker 1: isn't in control of how many people come into this base.

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Speaker 1: It's not the artist job to regulate oval capacity. I

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Speaker 1: don't know what happened in this situation. I just know

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Speaker 1: something went wrong and it's a tragedy. Well here he

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Speaker 1: is actually stopping the show to help a fan. Oh,

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Speaker 1: we need somebody to help if somebody passed out right here.

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Speaker 1: Oh to touch everybody, just back up, somebody jump in,

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Speaker 1: Come on, come on, security, get it there. Let's get

405
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Speaker 1: in there. Let's get in there. Let's get it in.

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Speaker 1: And like I said, there are several lawsuits going on already.

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Speaker 1: Manuel Salza was the first revealed to be suing Travis

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Speaker 1: Scott in Live Nation. He filed this on Saturday. According

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Speaker 1: to his lawsuit, defendants failed to properly plan and conduct

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Speaker 1: the concert in a safe manner. Instead, they consciously ignore

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Speaker 1: the extreme risk of harm to concert goers and in

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00:20:38,520 --> 00:20:43,080
Speaker 1: some cases actively encouraged and form fermented dangerous behaviors. Then

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Speaker 1: there's another lawsuit by twenty three year old attendee Christian Parades,

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Speaker 1: seeking one million dollars over allegedly being pushed into the

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Speaker 1: show's general admission metal barrier and suffering permanent bodily injury.

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Speaker 1: So this lawsuit names Travis Scott Live Nation as well

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Speaker 1: as Drake and Harris County Sports and Convention Corporation, So

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Speaker 1: there'd be numerous others. Yeah, it's gonna be a lot

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Speaker 1: of checks handed out because of this situation. I mean,

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Speaker 1: somebody's definitely liable. All right, Well that is your rumor report.

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Speaker 1: We'll have more about this in the next hour. All right,

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Speaker 1: now when we come back front page news. What we're

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Speaker 1: talking about, Well, let's talk about a mom who they

424
00:21:16,800 --> 00:21:19,600
Speaker 1: thought on the airline she was trafficking her own by

425
00:21:19,720 --> 00:21:21,960
Speaker 1: racial daughter. Oh my goodness. All right, we'll get into

426
00:21:22,000 --> 00:21:24,840
Speaker 1: that next. It's the Breakfast Club. Good morning, So Breakfast Club,

427
00:21:24,960 --> 00:21:29,000
Speaker 1: your mornings will never be the same. Angela Hair talking

428
00:21:29,000 --> 00:21:32,320
Speaker 1: about my friends at the General Insurance. They offer flexible

429
00:21:32,359 --> 00:21:34,880
Speaker 1: payment plans and the ability to choose your payment date.

430
00:21:34,960 --> 00:21:37,160
Speaker 1: Plus they let you choose how you pay, whether that's

431
00:21:37,160 --> 00:21:39,600
Speaker 1: with cash, card or chat. Call eight hundred General or

432
00:21:39,640 --> 00:21:41,840
Speaker 1: visit the General dot com to learn more. Today, some

433
00:21:41,920 --> 00:21:49,040
Speaker 1: restrictions apply the Reach Morning. Everybody is dj Envy Angela Ye, Charlomagne,

434
00:21:49,080 --> 00:21:50,960
Speaker 1: the guy we are to Breakfast Club's getting some front

435
00:21:50,960 --> 00:21:54,919
Speaker 1: page news. The NFL. The Falcons beat the Saints, the

436
00:21:55,040 --> 00:21:58,120
Speaker 1: Browns beat the Bengals. Dolphin speak, the Texans, Chiefs beat

437
00:21:58,160 --> 00:22:01,280
Speaker 1: the Packers, Titans beat the Rams, My Giants beat the Raiders.

438
00:22:01,320 --> 00:22:04,280
Speaker 1: We're in second place right now. Jaguars beat the Bills,

439
00:22:04,320 --> 00:22:07,520
Speaker 1: Patriots beat the Panthers, Ravens beat the Vikings, Charges beat

440
00:22:07,560 --> 00:22:10,199
Speaker 1: the Eagles, Cardinals beat the forty nine is, and the

441
00:22:10,280 --> 00:22:14,680
Speaker 1: Broncos washed the Cowboys. It's amazing how excited y'all get

442
00:22:14,680 --> 00:22:20,760
Speaker 1: when the Dallas carve the Cowboys who washed. I just

443
00:22:20,800 --> 00:22:23,000
Speaker 1: want to point out that the Cowboys have as many

444
00:22:23,040 --> 00:22:26,040
Speaker 1: wins as the Giants have losses. Okay, and Monday Night

445
00:22:26,160 --> 00:22:28,160
Speaker 1: six and two the Giants and three and six. Lets

446
00:22:28,240 --> 00:22:30,640
Speaker 1: let's let's keep that on. You're talking about the pastortime, y'all.

447
00:22:30,640 --> 00:22:32,000
Speaker 1: Not number two either. I don't know why you keep

448
00:22:32,440 --> 00:22:35,760
Speaker 1: number three, actually number three behind the until you're not

449
00:22:35,800 --> 00:22:39,760
Speaker 1: your number three, number two number and football the Steelers

450
00:22:39,840 --> 00:22:42,520
Speaker 1: play the Bears. Now what else she got? Easy? Well,

451
00:22:42,600 --> 00:22:44,560
Speaker 1: let's I go out of Mom, a California woman. She

452
00:22:44,640 --> 00:22:48,240
Speaker 1: is accusing Southwest Airlines of racial profiling. She was accused

453
00:22:48,240 --> 00:22:51,200
Speaker 1: of human trafficking. She was traveling with her by racial daughter,

454
00:22:51,240 --> 00:22:54,480
Speaker 1: her ten year old daughter Mary McCarthy, of LA. So

455
00:22:54,600 --> 00:22:57,359
Speaker 1: they were flying to Denver after receiving news that McCarthy's

456
00:22:57,359 --> 00:22:59,800
Speaker 1: brother had suddenly died. They had a brief stop in

457
00:23:00,040 --> 00:23:02,480
Speaker 1: and Jose. They went on another Southwest flight, but realized

458
00:23:02,480 --> 00:23:05,440
Speaker 1: they couldn't be seated together, so she asked flight attendants

459
00:23:05,440 --> 00:23:07,160
Speaker 1: if we could be seated together. She said, they told

460
00:23:07,240 --> 00:23:09,280
Speaker 1: us we'd each have to take a middle seat, so

461
00:23:09,359 --> 00:23:11,640
Speaker 1: with their permission, I asked other passengers if they would

462
00:23:11,680 --> 00:23:13,760
Speaker 1: kindly move so we could be together, especially as my

463
00:23:13,840 --> 00:23:16,920
Speaker 1: daughter was grieving, and they did. She said, people are nice.

464
00:23:16,920 --> 00:23:19,280
Speaker 1: When they got to Denver, they were met by police

465
00:23:19,320 --> 00:23:22,160
Speaker 1: officers on the jetway. She said, I got quite a shock,

466
00:23:22,200 --> 00:23:24,159
Speaker 1: having lost my brother the night before, I thought that

467
00:23:24,240 --> 00:23:26,200
Speaker 1: someone else in my family had died, and that police

468
00:23:26,240 --> 00:23:28,760
Speaker 1: have been sent to deliver the news. As for my daughter,

469
00:23:28,840 --> 00:23:31,760
Speaker 1: she was terribly frightened. She was already experiencing the trauma

470
00:23:31,760 --> 00:23:34,000
Speaker 1: of her uncle's death, and she is scared of police.

471
00:23:34,040 --> 00:23:36,280
Speaker 1: Do the constant headlines about how police treat black people.

472
00:23:36,320 --> 00:23:41,680
Speaker 1: She's black. She began to sob and was inconsolable. So yes,

473
00:23:41,960 --> 00:23:45,200
Speaker 1: terrible situation that they would do that. Imagine that happens

474
00:23:45,200 --> 00:23:47,600
Speaker 1: to your traveling with your child and you get accused

475
00:23:47,600 --> 00:23:51,080
Speaker 1: of human trafficking. So she accuses them now of racial profiling.

476
00:23:51,400 --> 00:23:53,320
Speaker 1: She's got an attorney, and she wants the airline to

477
00:23:53,480 --> 00:23:55,840
Speaker 1: be held fully accountable. I've been on a plane with

478
00:23:55,960 --> 00:23:58,400
Speaker 1: my oldest daughter. This was a couple few years ago,

479
00:23:58,400 --> 00:24:00,920
Speaker 1: and they asked me a daughter. I'm like, I hope.

480
00:24:00,920 --> 00:24:03,520
Speaker 1: So they had this been a white child, they would

481
00:24:03,520 --> 00:24:06,280
Speaker 1: not have been a raised eyebrow, according to McCarthy's attorney.

482
00:24:07,119 --> 00:24:11,560
Speaker 1: Really Now, on the flip side, a missing teenager from

483
00:24:11,560 --> 00:24:15,240
Speaker 1: North Carolina was rescued by Kentucky police. She signaled for help,

484
00:24:15,240 --> 00:24:16,600
Speaker 1: and you know how she learned how to do that.

485
00:24:16,840 --> 00:24:20,240
Speaker 1: She used a hand gesture known on TikTok that represents

486
00:24:20,320 --> 00:24:23,639
Speaker 1: violence at home, according to police. So the sixteen year

487
00:24:23,680 --> 00:24:26,280
Speaker 1: olds from Asheville, North Carolina. She was reported missing by

488
00:24:26,280 --> 00:24:29,440
Speaker 1: her parents on Tuesday. And on Thursday, a motorist called

489
00:24:29,520 --> 00:24:31,360
Speaker 1: nine one on one they saw a girl in distress

490
00:24:31,400 --> 00:24:34,160
Speaker 1: in a vehicle. The complainant was behind the vehicle noticed

491
00:24:34,160 --> 00:24:37,000
Speaker 1: a female passenger making the hand gesture that are known

492
00:24:37,040 --> 00:24:39,520
Speaker 1: on TikTok to represent violence at home. I need help

493
00:24:39,600 --> 00:24:42,479
Speaker 1: domestic violence. So it's a one handed time somebody can

494
00:24:42,560 --> 00:24:46,280
Speaker 1: use when they're in distress. Oh, TikTok teaching people, thinks absolutely,

495
00:24:46,760 --> 00:24:49,239
Speaker 1: And the sixteen year old learned that all right now.

496
00:24:49,320 --> 00:24:53,760
Speaker 1: Fiser announced Friday that they're COVID nineteen anti viral pill,

497
00:24:54,640 --> 00:24:58,440
Speaker 1: when administered in conjunction with widely used ATIV drug, cut

498
00:24:58,440 --> 00:25:01,480
Speaker 1: the risk of hospitalization or death by eighty nine percent

499
00:25:02,040 --> 00:25:05,280
Speaker 1: in patients who have COVID. So the preliminary results from

500
00:25:05,280 --> 00:25:08,119
Speaker 1: the child were so positive that they did recommend the

501
00:25:08,160 --> 00:25:10,359
Speaker 1: study be halted so the drug can be offered to

502
00:25:10,400 --> 00:25:13,280
Speaker 1: the general public sooner. So they're saying they're going to

503
00:25:13,359 --> 00:25:15,680
Speaker 1: submit this data to make it as soon as possible

504
00:25:16,000 --> 00:25:18,680
Speaker 1: to seek emergency authorization for the pill. You say you

505
00:25:18,720 --> 00:25:20,960
Speaker 1: got to mix it with an HIV drug, with a

506
00:25:21,040 --> 00:25:25,159
Speaker 1: widely used HIV drug doesn't matter. Well, this is to

507
00:25:25,280 --> 00:25:27,720
Speaker 1: help you if you already have COVID, so it'll cut

508
00:25:27,760 --> 00:25:30,400
Speaker 1: your risk of death and your risk of hospitalization by

509
00:25:30,440 --> 00:25:32,639
Speaker 1: eighty nine percent. Well, what if I don't have HIV?

510
00:25:32,720 --> 00:25:35,920
Speaker 1: Can I still take the HIV A lot of these

511
00:25:35,920 --> 00:25:38,359
Speaker 1: medications end up helping you with other things too. It

512
00:25:38,440 --> 00:25:41,040
Speaker 1: might be made for one thing, but it also when

513
00:25:41,200 --> 00:25:44,679
Speaker 1: used with visors COVID nineteen pill, can actually help you.

514
00:25:44,840 --> 00:25:47,960
Speaker 1: That sounds like a lot, all right, Well that is

515
00:25:48,200 --> 00:25:53,040
Speaker 1: your front page news. The giants are definitely in third place. Okay,

516
00:25:53,200 --> 00:25:54,840
Speaker 1: don't get quiet now, that's all you heard you. She's

517
00:25:54,840 --> 00:25:56,200
Speaker 1: talked about something serious and now you want to go

518
00:25:56,200 --> 00:25:58,640
Speaker 1: back to the The giants need some type of medication,

519
00:25:58,760 --> 00:26:01,520
Speaker 1: all right, they in third place, but time for a second. No,

520
00:26:01,600 --> 00:26:06,720
Speaker 1: you're not, you're not. I'm looking at the standards have

521
00:26:06,720 --> 00:26:09,160
Speaker 1: the same record. But anyway, when we come back, doctor son,

522
00:26:09,520 --> 00:26:13,840
Speaker 1: Sanjay not your son, so Jay Goopta will be joining us.

523
00:26:14,119 --> 00:26:15,680
Speaker 1: We'll talk to him when we come back as a

524
00:26:15,720 --> 00:26:19,359
Speaker 1: new book called World War C. So we'll talk to

525
00:26:19,400 --> 00:26:22,480
Speaker 1: him next. It's the Breakfast Club. Good morning, the Breakfast Club,

526
00:26:25,119 --> 00:26:30,200
Speaker 1: one five one, the Breakfast Club. Your mornings will never

527
00:26:30,359 --> 00:26:35,600
Speaker 1: be the same morning. Everybody is DJ Envy angela Ye,

528
00:26:35,640 --> 00:26:37,520
Speaker 1: Charlemagne the guy. We are to Breakfast Club. We got

529
00:26:37,560 --> 00:26:40,639
Speaker 1: a special guest in the building. We have doctor Sanjay Gupta. Welcome.

530
00:26:40,800 --> 00:26:42,959
Speaker 1: Thanks so much for having me. What an honor your

531
00:26:43,080 --> 00:26:47,520
Speaker 1: cold World War C. Who made you do that? Sir? Well,

532
00:26:47,560 --> 00:26:50,960
Speaker 1: you know I've been following this pandemic for the last

533
00:26:51,160 --> 00:26:55,480
Speaker 1: almost two years now and just fully immersed in this

534
00:26:55,680 --> 00:26:59,160
Speaker 1: and realized that there are so many lessons that we've

535
00:26:59,240 --> 00:27:02,240
Speaker 1: learned obviously about the virus and the vaccines, but I

536
00:27:02,240 --> 00:27:05,440
Speaker 1: think a lot about human behavior, you know, I always

537
00:27:05,480 --> 00:27:08,680
Speaker 1: sort of thought that if if something like this were

538
00:27:08,720 --> 00:27:11,439
Speaker 1: to happen, the world would come together, kind of like

539
00:27:11,480 --> 00:27:16,240
Speaker 1: if there was an alien invasion one day. That's an

540
00:27:16,240 --> 00:27:19,560
Speaker 1: alien invasions because that would bring the entire world together.

541
00:27:20,920 --> 00:27:24,080
Speaker 1: Some people might think it's a conspiracy theory, and I

542
00:27:24,200 --> 00:27:28,040
Speaker 1: believe it. You can't politicize it, you know what I mean.

543
00:27:28,119 --> 00:27:30,480
Speaker 1: I don't know, Charlemayne. I think I feel like you

544
00:27:30,520 --> 00:27:34,679
Speaker 1: can politicize anything. Nowadays they read and Blue and be like, oh,

545
00:27:34,720 --> 00:27:39,440
Speaker 1: it's a Republican. You would think a pandemic would bring people.

546
00:27:39,680 --> 00:27:42,000
Speaker 1: I mean, the virus was kind of like an alien.

547
00:27:42,160 --> 00:27:45,480
Speaker 1: It was something that we'd never seen before. It affected

548
00:27:45,480 --> 00:27:49,320
Speaker 1: all humans, So why wouldn't all humans come together? And

549
00:27:49,760 --> 00:27:51,720
Speaker 1: we didn't. You ask the question why I write the

550
00:27:51,720 --> 00:27:54,359
Speaker 1: book because seven hundred and fifty thousand people have died

551
00:27:55,280 --> 00:27:57,760
Speaker 1: and I have three teenagers and I don't want them

552
00:27:57,760 --> 00:28:01,080
Speaker 1: to think that's normal. We could have prevented it, but

553
00:28:01,160 --> 00:28:04,120
Speaker 1: we didn't prevent it. So you know, there's there's lessons

554
00:28:04,160 --> 00:28:06,879
Speaker 1: to be learned here. Can I say something? And I

555
00:28:06,920 --> 00:28:08,840
Speaker 1: know I hear this a lot. You look so much

556
00:28:08,880 --> 00:28:13,239
Speaker 1: bigger on TV, like I'm just I'm a good right

557
00:28:13,280 --> 00:28:21,280
Speaker 1: there's like fun side, I'm so glad you because I

558
00:28:21,400 --> 00:28:23,120
Speaker 1: keep on saying we need an expert in the room

559
00:28:23,119 --> 00:28:26,080
Speaker 1: to discuss certain things. So they just recently approved the

560
00:28:26,320 --> 00:28:29,600
Speaker 1: vaccine for children age five to eleven. Shot them in

561
00:28:29,800 --> 00:28:31,480
Speaker 1: NBA are both saying they don't want their kids to

562
00:28:31,480 --> 00:28:34,040
Speaker 1: get vaccinated. Absolutely not, And I'll tell you why not

563
00:28:34,520 --> 00:28:36,920
Speaker 1: because of the fact that the media pushed the fact

564
00:28:37,000 --> 00:28:40,160
Speaker 1: that kids didn't need the vaccine or kids kids couldn't

565
00:28:40,160 --> 00:28:42,720
Speaker 1: catch COVID and kids are you know, they're immune systems

566
00:28:42,760 --> 00:28:44,800
Speaker 1: can fight COVID and they don't get as sick as adults.

567
00:28:44,840 --> 00:28:46,440
Speaker 1: Like it was never a thing for kids for a

568
00:28:46,520 --> 00:28:48,880
Speaker 1: year and a half. And the problem with the media.

569
00:28:49,160 --> 00:28:51,520
Speaker 1: You started one chapter and tell us one thing, but

570
00:28:51,560 --> 00:28:52,920
Speaker 1: then you just turned all the way to the end

571
00:28:52,920 --> 00:28:54,120
Speaker 1: of the book say now you got to get your

572
00:28:54,160 --> 00:28:56,000
Speaker 1: kids back to the five to eleven. You're like, what happened?

573
00:28:57,280 --> 00:28:58,800
Speaker 1: I look at it differently. I look at it like,

574
00:28:59,280 --> 00:29:01,160
Speaker 1: there's some things you give adults and some things you

575
00:29:01,160 --> 00:29:02,840
Speaker 1: give kids, right, and you don't give it to kids

576
00:29:02,880 --> 00:29:06,000
Speaker 1: because their bodies are still growing. And in my opinion,

577
00:29:06,120 --> 00:29:08,280
Speaker 1: has this been tested enough to give to kids to

578
00:29:08,280 --> 00:29:10,800
Speaker 1: see that we have long lasting effects. I don't know.

579
00:29:11,000 --> 00:29:14,320
Speaker 1: Adults is a little different. I'm I'm already grown. But

580
00:29:14,440 --> 00:29:17,200
Speaker 1: for my kids that are still growing? And what about

581
00:29:17,240 --> 00:29:19,800
Speaker 1: what about measles? Vaccine? Would you given tested for years?

582
00:29:19,800 --> 00:29:22,160
Speaker 1: How many years? But from the beginning it was given

583
00:29:22,240 --> 00:29:24,360
Speaker 1: I wasn't here, no, I know, but people, we have

584
00:29:24,400 --> 00:29:29,280
Speaker 1: been receiving this vaccine since it was approved for decades now,

585
00:29:29,440 --> 00:29:33,080
Speaker 1: chicken pox vaccine twenty five years. I mean, you know,

586
00:29:33,160 --> 00:29:37,280
Speaker 1: in order to have long term studies on something, you'd

587
00:29:37,280 --> 00:29:39,360
Speaker 1: have to wait long term. So you have a vaccine,

588
00:29:39,360 --> 00:29:42,400
Speaker 1: would you wait twenty years before you start giving it

589
00:29:42,440 --> 00:29:44,680
Speaker 1: to people? If it is not killing kids like that?

590
00:29:44,720 --> 00:29:46,600
Speaker 1: Like they say, then yes, saying with baby patter of

591
00:29:46,600 --> 00:29:48,000
Speaker 1: people with baby patter In the next though, it was

592
00:29:48,000 --> 00:29:49,320
Speaker 1: fine for years and then all of a sudden, the

593
00:29:49,360 --> 00:29:52,480
Speaker 1: kids cancer. Well I see, here's the thing. It's like,

594
00:29:52,560 --> 00:29:56,560
Speaker 1: how many how many deaths are you willing to accept?

595
00:29:57,160 --> 00:29:59,880
Speaker 1: I mean, seven hundred, close to eight hundred kids have died.

596
00:30:00,120 --> 00:30:03,680
Speaker 1: This is that a lot? Well, listen to this time

597
00:30:03,760 --> 00:30:06,560
Speaker 1: last year, to seven hundred and fifty thousand people had died. Well,

598
00:30:06,560 --> 00:30:08,360
Speaker 1: if you compare it that way, but let's put it

599
00:30:08,400 --> 00:30:12,120
Speaker 1: this way. Chicken pox. We really needed a chicken pox vaccine.

600
00:30:12,160 --> 00:30:14,840
Speaker 1: That was a huge scientific endeavor. How many people do

601
00:30:14,840 --> 00:30:16,320
Speaker 1: you how many kids do you think we're dying of

602
00:30:16,440 --> 00:30:19,360
Speaker 1: chicken pox before the vaccine? I agree with This time

603
00:30:19,440 --> 00:30:23,040
Speaker 1: last year, the media was literally saying the mortality rate

604
00:30:23,080 --> 00:30:25,600
Speaker 1: for COVID on kids was very low, so don't worry

605
00:30:25,640 --> 00:30:27,040
Speaker 1: about it. No. I don't think they were saying, don't

606
00:30:27,040 --> 00:30:30,240
Speaker 1: worry about absolutely work. No, No, it's it's It was

607
00:30:30,360 --> 00:30:33,720
Speaker 1: much much worse for for older people, much worse for

608
00:30:33,800 --> 00:30:36,840
Speaker 1: the elderly, much worse for people with pre existing conditions.

609
00:30:37,520 --> 00:30:39,800
Speaker 1: That's true. But can't both things be true at the

610
00:30:39,840 --> 00:30:42,840
Speaker 1: same time? Yes, but can't y'all? Also, I'm sadly we

611
00:30:42,880 --> 00:30:45,280
Speaker 1: got you got to hold people's hand in this generation, right,

612
00:30:45,280 --> 00:30:47,480
Speaker 1: So it's like you can't go from a little mortality

613
00:30:47,520 --> 00:30:49,200
Speaker 1: rate the kids that don't worry about it till hey,

614
00:30:49,240 --> 00:30:51,960
Speaker 1: everybody got because that kids wearing in school last year

615
00:30:51,960 --> 00:30:53,840
Speaker 1: at this time, But a lot of schools were closed

616
00:30:53,880 --> 00:30:56,040
Speaker 1: and now they are and it's spreading a lot more

617
00:30:56,400 --> 00:30:58,560
Speaker 1: amongst kids, and they're bringing it home to their families

618
00:30:58,560 --> 00:31:01,560
Speaker 1: and people who might have condition. That is another reason

619
00:31:01,680 --> 00:31:04,160
Speaker 1: I think that it could be a great benefit is

620
00:31:04,200 --> 00:31:08,120
Speaker 1: that you could potentially help really bring this pandemic to

621
00:31:08,160 --> 00:31:11,120
Speaker 1: a close because kids can spread this. Why didn't y'all

622
00:31:11,200 --> 00:31:12,719
Speaker 1: do a better job for the path of the year

623
00:31:12,720 --> 00:31:14,120
Speaker 1: and a half letting it know not only would it

624
00:31:14,400 --> 00:31:16,760
Speaker 1: you know adults, and you know people would have bad

625
00:31:16,800 --> 00:31:18,960
Speaker 1: immune systems with kids too, And when as soon as

626
00:31:19,000 --> 00:31:20,520
Speaker 1: a vaccine is ready for kids, y'all need to go

627
00:31:20,560 --> 00:31:22,320
Speaker 1: get your kids vaccine. Yeah, I think I think, I

628
00:31:22,360 --> 00:31:25,280
Speaker 1: think I can understand what you're saying, that the idea

629
00:31:25,320 --> 00:31:28,640
Speaker 1: that it was really presented as a problem mostly for adults,

630
00:31:29,400 --> 00:31:31,840
Speaker 1: which is which is the case? I mean, you know, adults,

631
00:31:31,920 --> 00:31:34,880
Speaker 1: especially elderly people over the age of sixty five, were

632
00:31:34,920 --> 00:31:36,800
Speaker 1: the most at risk, and that is still the case.

633
00:31:37,000 --> 00:31:38,880
Speaker 1: So my kids are vaccinated now. My kids are little

634
00:31:38,880 --> 00:31:43,960
Speaker 1: bit older, they're teenagers now. But I immediately thought to myself, boy,

635
00:31:44,120 --> 00:31:46,560
Speaker 1: you know, I really hope they don't get sick. The

636
00:31:46,680 --> 00:31:49,600
Speaker 1: chances are much lower. But would I be able to

637
00:31:49,800 --> 00:31:53,400
Speaker 1: justify the fact that they got sick even though a

638
00:31:53,480 --> 00:31:55,880
Speaker 1: vaccine was available and I chose not to vaccinate them.

639
00:31:56,360 --> 00:31:58,600
Speaker 1: I guess the real question ends up being, Charlotte Magne,

640
00:31:58,600 --> 00:32:00,880
Speaker 1: what risk are you willing to tolerate. We put it

641
00:32:00,920 --> 00:32:02,800
Speaker 1: this way. You tell people something, you have a ninety

642
00:32:02,880 --> 00:32:05,520
Speaker 1: nine point five percent chance of surviving this, that means

643
00:32:05,520 --> 00:32:08,160
Speaker 1: one and two hundred kids will die. Okay, are you

644
00:32:08,160 --> 00:32:11,400
Speaker 1: willing to take that risk? I mean we we we

645
00:32:11,560 --> 00:32:13,400
Speaker 1: do this and we throw that around. But like secondhand

646
00:32:13,480 --> 00:32:16,160
Speaker 1: smoke killed more people a year than eight hundred. Are

647
00:32:16,200 --> 00:32:19,240
Speaker 1: you out here telling people they need to band cigarettes? Well,

648
00:32:19,240 --> 00:32:24,760
Speaker 1: they kind of, yeah, I mean I'm not. I'm not

649
00:32:24,960 --> 00:32:28,360
Speaker 1: advocating for cigre's. It's like that y'all raised the terror

650
00:32:28,440 --> 00:32:30,680
Speaker 1: threat on certain things when you have say, but we

651
00:32:30,720 --> 00:32:32,600
Speaker 1: don't know the side effects of what happens to these

652
00:32:32,640 --> 00:32:35,520
Speaker 1: kids after they take this, you know, vaccine for years

653
00:32:35,560 --> 00:32:38,720
Speaker 1: and scary point. But then you also say there's a

654
00:32:38,760 --> 00:32:41,400
Speaker 1: lot of passing around. But just because my kid gets

655
00:32:41,440 --> 00:32:43,000
Speaker 1: the vaccine doesn't mean he can't get it and pass

656
00:32:43,040 --> 00:32:44,680
Speaker 1: it around, Right, So I think I think that's a

657
00:32:44,680 --> 00:32:47,120
Speaker 1: good point. So the question you're really raising is a

658
00:32:47,240 --> 00:32:50,520
Speaker 1: COVID on one side, got the vaccine on the other. Right,

659
00:32:51,280 --> 00:32:54,880
Speaker 1: they both may have risks, Yeah, right, which risk do

660
00:32:54,920 --> 00:32:57,320
Speaker 1: you think is higher? Which one are you willing to take?

661
00:32:57,640 --> 00:33:00,240
Speaker 1: We don't know the long term impacts of COVID. I'm

662
00:33:00,240 --> 00:33:02,760
Speaker 1: already vaccine and I'm not anti vACC at all. I'm

663
00:33:02,760 --> 00:33:04,720
Speaker 1: just saying you're taking a risk you the way, right,

664
00:33:04,800 --> 00:33:07,040
Speaker 1: but I think you have to decide which is the

665
00:33:07,080 --> 00:33:10,480
Speaker 1: bigger risk here. And in the context of I think

666
00:33:10,520 --> 00:33:12,600
Speaker 1: we know, why doesn't anybody talk about the fact that

667
00:33:12,680 --> 00:33:14,960
Speaker 1: this time last year Democrats would have made people telling

668
00:33:15,000 --> 00:33:17,640
Speaker 1: folks not to take the vaccine, Like, when will liberal

669
00:33:17,680 --> 00:33:19,760
Speaker 1: media own up to the fact they are responsible for

670
00:33:19,840 --> 00:33:22,880
Speaker 1: a lot of people beings keptical. Well, you know, you're

671
00:33:23,160 --> 00:33:27,560
Speaker 1: you're right about this. There is always politics involved with things,

672
00:33:27,840 --> 00:33:30,760
Speaker 1: but it's not always the same politics. I mean, before

673
00:33:30,840 --> 00:33:33,880
Speaker 1: the pandemic, you may remember there were measles outbreaks that

674
00:33:34,000 --> 00:33:36,640
Speaker 1: were happening, and if you go back and you say, okay,

675
00:33:36,640 --> 00:33:39,280
Speaker 1: look who was it that was not vaccinating at that time,

676
00:33:39,840 --> 00:33:43,240
Speaker 1: it wasn't conservatives as much as it was liberals. It

677
00:33:43,280 --> 00:33:46,120
Speaker 1: was young liberal parents that were not vaccinating their children.

678
00:33:46,520 --> 00:33:50,840
Speaker 1: So there's always a politicalization of things. So it's agnostic.

679
00:33:50,880 --> 00:33:52,840
Speaker 1: I think, you know, to say, hey, look, it's always

680
00:33:52,840 --> 00:33:55,640
Speaker 1: these people who are anti science, are anti vacts or whatever.

681
00:33:56,000 --> 00:33:58,400
Speaker 1: That can change, but it doesn't make a right. The

682
00:33:58,440 --> 00:34:01,120
Speaker 1: worst thing that happened with this pandemic enduring a presidential

683
00:34:01,160 --> 00:34:03,600
Speaker 1: election year, because they did pull it aside that you

684
00:34:03,600 --> 00:34:06,760
Speaker 1: had you had now Vice President Kamala Harris, President Joe Biden,

685
00:34:07,000 --> 00:34:10,800
Speaker 1: then Governor Cuomo literally saying, who's going to take this vaccine?

686
00:34:10,840 --> 00:34:13,040
Speaker 1: Don't trust the see in the FDA, somebody else is

687
00:34:13,120 --> 00:34:14,680
Speaker 1: gonna have to tell it to take this vaccine. And

688
00:34:14,760 --> 00:34:17,160
Speaker 1: those clips now still get played over and over and

689
00:34:17,239 --> 00:34:19,600
Speaker 1: over and over. I know, it's it's it's it's tough,

690
00:34:19,800 --> 00:34:21,759
Speaker 1: Charloe man. I mean, I'm you know, I feel like

691
00:34:21,800 --> 00:34:25,920
Speaker 1: sometimes pushing a boulder uphill. I think there's there's there's

692
00:34:26,000 --> 00:34:28,760
Speaker 1: scientists who are who have been working on these vaccines

693
00:34:28,800 --> 00:34:30,960
Speaker 1: for a long time. I mean, I can I can

694
00:34:31,000 --> 00:34:32,719
Speaker 1: tell you that, you know, when it comes to these

695
00:34:32,760 --> 00:34:35,080
Speaker 1: side effects, which you rightly raise, you know, what are

696
00:34:35,080 --> 00:34:37,719
Speaker 1: the long term effects? What they find is that the

697
00:34:37,920 --> 00:34:41,600
Speaker 1: if there are side effects from vaccines, they almost always

698
00:34:41,600 --> 00:34:44,600
Speaker 1: occur within the first seven weeks of receiving a vaccine.

699
00:34:44,920 --> 00:34:47,399
Speaker 1: Almost always you said, side effects happen in the first

700
00:34:47,440 --> 00:34:50,359
Speaker 1: seven weeks. Yeah, So that that's why when you look

701
00:34:50,360 --> 00:34:53,040
Speaker 1: at these safety studies, they basically say, hey, look, we

702
00:34:53,120 --> 00:34:55,840
Speaker 1: want to follow these patients and the trials for at

703
00:34:55,920 --> 00:34:58,520
Speaker 1: least two months, because we know that the vast majority

704
00:34:58,560 --> 00:35:00,759
Speaker 1: of side effects occur within the first forty two days

705
00:35:00,760 --> 00:35:04,600
Speaker 1: for seven weeks. So that's when you now say, okay,

706
00:35:04,760 --> 00:35:08,759
Speaker 1: we feel comfortable with the safety data to say we

707
00:35:08,800 --> 00:35:11,600
Speaker 1: didn't see significant side effects after that, we are willing

708
00:35:11,640 --> 00:35:14,200
Speaker 1: to go ahead and authorize that. That's what happened last year.

709
00:35:14,239 --> 00:35:16,200
Speaker 1: By the way, you may remember this back and forth

710
00:35:16,239 --> 00:35:19,719
Speaker 1: that was going on where the President said, go ahead

711
00:35:19,719 --> 00:35:21,560
Speaker 1: and just get this thing out there. This was in

712
00:35:21,600 --> 00:35:24,239
Speaker 1: October of last year, early November of last year, right

713
00:35:24,239 --> 00:35:28,279
Speaker 1: before the election, and the FDA came back and said, hey, look,

714
00:35:28,360 --> 00:35:31,239
Speaker 1: this is how we've done things forever. We're gonna wait

715
00:35:31,280 --> 00:35:33,200
Speaker 1: for the safety data. We're not going to rush that

716
00:35:33,280 --> 00:35:36,560
Speaker 1: part of things. And that I think was a great

717
00:35:36,600 --> 00:35:39,200
Speaker 1: decision by the FDA. People said, hey, the FDA is

718
00:35:39,200 --> 00:35:41,839
Speaker 1: now politicizing this. They're waiting too long. They're gonna they're

719
00:35:41,840 --> 00:35:44,759
Speaker 1: not gonna authorize this until after the election. Well, the

720
00:35:45,040 --> 00:35:47,680
Speaker 1: issue was that the safety data wasn't coming back until

721
00:35:47,719 --> 00:35:50,640
Speaker 1: after the election. By the way, we've had some six

722
00:35:50,800 --> 00:35:53,240
Speaker 1: billion of these shots now given out around the world.

723
00:35:53,560 --> 00:35:56,560
Speaker 1: Six billion. I mean, what else has data like that

724
00:35:56,920 --> 00:35:59,960
Speaker 1: around the world. Six billion things. You know, Staton drugs.

725
00:36:00,160 --> 00:36:03,319
Speaker 1: There was adverse side effects y'all would know by now, Yes,

726
00:36:03,600 --> 00:36:05,680
Speaker 1: that's the thing. And they were finding things that were

727
00:36:05,719 --> 00:36:09,320
Speaker 1: really really rare, like I'm talking one in one hundred thousand,

728
00:36:09,440 --> 00:36:12,520
Speaker 1: one in a million sort of things they were finding. Correct,

729
00:36:12,640 --> 00:36:14,839
Speaker 1: that was the big thing, the blood clots. I thought

730
00:36:14,880 --> 00:36:17,040
Speaker 1: that was an example of how the system should work.

731
00:36:17,360 --> 00:36:19,640
Speaker 1: They halted the trial for Johnson and Johnson. They said,

732
00:36:19,680 --> 00:36:22,399
Speaker 1: let's figure this out. And then once they realized that

733
00:36:22,400 --> 00:36:25,080
Speaker 1: the trials could continue, they went on, all right, we

734
00:36:25,080 --> 00:36:27,319
Speaker 1: have more with doctor Sanjay Gupta. When we come back.

735
00:36:27,360 --> 00:36:35,360
Speaker 1: It's the Breakfast Club. Good morning, but she gonna slide

736
00:36:35,520 --> 00:36:39,320
Speaker 1: right on my side. I knowed it with a friend.

737
00:36:40,360 --> 00:36:45,320
Speaker 1: Then we skirt off in the bed. Everybody's DJ Envy

738
00:36:45,520 --> 00:36:48,120
Speaker 1: Angela Yee Chalomagne, the guy we ought to Breakfast Club

739
00:36:48,160 --> 00:36:50,480
Speaker 1: was still kicking it with doctor Sanjay Gupta Chalomagne. So

740
00:36:50,480 --> 00:36:51,880
Speaker 1: you can't like look at people and be like, oh

741
00:36:51,920 --> 00:36:53,799
Speaker 1: my god, why don't you getting your kids vaccinated? When

742
00:36:53,840 --> 00:36:56,600
Speaker 1: you know we're just getting this new information and we're

743
00:36:56,640 --> 00:36:59,120
Speaker 1: getting another information. We get a whole set another different

744
00:36:59,160 --> 00:37:01,680
Speaker 1: information for year and a half, I hear you, man,

745
00:37:01,800 --> 00:37:03,880
Speaker 1: I really do, and I guess for me, it's just

746
00:37:03,920 --> 00:37:05,839
Speaker 1: one of these things. Because I've been so immersed in it.

747
00:37:05,960 --> 00:37:09,920
Speaker 1: I've known children who've gotten sick, and I've known children

748
00:37:09,960 --> 00:37:14,040
Speaker 1: who didn't get that sick, but even months later, still

749
00:37:14,080 --> 00:37:16,759
Speaker 1: have symptoms. And when I say symptoms, I'm talking about

750
00:37:16,760 --> 00:37:19,080
Speaker 1: teenagers who have to take three or four hour naps

751
00:37:19,280 --> 00:37:21,960
Speaker 1: every day, these COVID naps that they call them. They

752
00:37:22,000 --> 00:37:24,600
Speaker 1: still complain of brain fog, they still have no taste,

753
00:37:24,760 --> 00:37:27,840
Speaker 1: they have headaches all the time. These were perfectly healthy

754
00:37:27,920 --> 00:37:30,520
Speaker 1: kids that didn't even get that sick. And again, I

755
00:37:30,520 --> 00:37:33,080
Speaker 1: think to myself, if that is largely preventable. And I'm

756
00:37:33,080 --> 00:37:35,320
Speaker 1: not going to say vaccines are one hundred percent effective,

757
00:37:35,400 --> 00:37:40,400
Speaker 1: that's another discussion, but they're so effective that why wouldn't I.

758
00:37:40,680 --> 00:37:42,840
Speaker 1: Why wouldn't I do this? I think sometimes, you know,

759
00:37:43,000 --> 00:37:45,560
Speaker 1: and it's no fault to use, just a human flaw.

760
00:37:45,880 --> 00:37:50,640
Speaker 1: When you're immersed in something, you just assume everybody else. Well,

761
00:37:50,640 --> 00:37:52,759
Speaker 1: I'm on TV, you know, talking about this all the time,

762
00:37:52,760 --> 00:37:55,880
Speaker 1: and I realized not everyone is watching the stuff, and

763
00:37:56,080 --> 00:37:59,600
Speaker 1: also people After a while, it gets depressing to hear

764
00:37:59,640 --> 00:38:03,600
Speaker 1: about a pandemic every day. They call it empathy fatigue.

765
00:38:03,880 --> 00:38:06,879
Speaker 1: If I tell you the story of one person with

766
00:38:06,920 --> 00:38:09,480
Speaker 1: this one particular problem, and I tell you their entire life,

767
00:38:09,520 --> 00:38:11,680
Speaker 1: and I tell you their story, you probably are to

768
00:38:11,719 --> 00:38:13,840
Speaker 1: watch that story and have a lot of compassion for

769
00:38:13,920 --> 00:38:17,200
Speaker 1: that person. But if I tell you that same story

770
00:38:17,239 --> 00:38:20,880
Speaker 1: ten times, it's not like you have ten times the

771
00:38:20,880 --> 00:38:23,200
Speaker 1: amount of compassion. You actually have the same amount of

772
00:38:23,239 --> 00:38:26,880
Speaker 1: compassion divided ten times. It's the same thing about the

773
00:38:26,920 --> 00:38:29,799
Speaker 1: aliens again. Why didn't we all come together here in

774
00:38:29,840 --> 00:38:31,880
Speaker 1: the beginning? You know, there was a study that came

775
00:38:31,880 --> 00:38:33,920
Speaker 1: out and said, hey, if everyone just wore a mask

776
00:38:34,560 --> 00:38:37,440
Speaker 1: when you go outside in public, if you do that,

777
00:38:37,480 --> 00:38:39,160
Speaker 1: you could be part of a movement that could save

778
00:38:39,200 --> 00:38:41,640
Speaker 1: forty thousand lives. That was a study that came out

779
00:38:41,680 --> 00:38:46,239
Speaker 1: sometime in the prior to that, Doctor Fauci, you didn't

780
00:38:46,280 --> 00:38:51,120
Speaker 1: have That's why why do we play these games like

781
00:38:51,160 --> 00:38:53,239
Speaker 1: we don't act like the people that we're listening too

782
00:38:53,239 --> 00:38:55,759
Speaker 1: hard to experts like yourself, like the doctor Fauci's didn't

783
00:38:55,760 --> 00:38:58,120
Speaker 1: put out this information at some point. Well, there is

784
00:38:58,120 --> 00:39:01,480
Speaker 1: an expectation that science is always going to be absolutely

785
00:39:01,480 --> 00:39:04,160
Speaker 1: certain from the beginning they think science is going to

786
00:39:04,239 --> 00:39:06,120
Speaker 1: be like math, that two plus two is always going

787
00:39:06,160 --> 00:39:08,759
Speaker 1: to equal four. Here's the deal. And again I think

788
00:39:08,800 --> 00:39:12,359
Speaker 1: the nuance of this is important. But the difference with

789
00:39:12,400 --> 00:39:15,960
Speaker 1: this virus is that we realized that people could spread

790
00:39:16,000 --> 00:39:20,640
Speaker 1: this virus even if they had no symptoms themselves. That's unusual.

791
00:39:20,960 --> 00:39:23,839
Speaker 1: And when that became clear in the spring of last year,

792
00:39:24,480 --> 00:39:27,440
Speaker 1: then it became clear that people should wear masks. But

793
00:39:27,600 --> 00:39:30,960
Speaker 1: I think that when it comes to scientific certainty, if

794
00:39:31,000 --> 00:39:34,000
Speaker 1: that's what you're demanding, you're probably never going to have that.

795
00:39:34,200 --> 00:39:37,080
Speaker 1: So why fire people like for instance, right, you are

796
00:39:37,080 --> 00:39:39,719
Speaker 1: a healthcare worker, you will work. And when there was

797
00:39:39,800 --> 00:39:45,239
Speaker 1: no ppe, you guys were out there, no vaccine were essential. Yes,

798
00:39:45,600 --> 00:39:48,720
Speaker 1: you were a phraise, we did parades, we bought you pizza,

799
00:39:48,800 --> 00:39:56,439
Speaker 1: We did all of that. You bought me pizza. So

800
00:39:56,480 --> 00:39:58,719
Speaker 1: now now when it comes to us and now some

801
00:39:58,800 --> 00:40:01,200
Speaker 1: of these healthcare workers don't want to take the vaccine, yea,

802
00:40:01,320 --> 00:40:03,520
Speaker 1: So now we fire them the same ones that were

803
00:40:03,520 --> 00:40:07,080
Speaker 1: our heroes and working with no vaccine and when nobody

804
00:40:07,200 --> 00:40:10,120
Speaker 1: was there, they were there. Mandates are they're tough? I

805
00:40:10,120 --> 00:40:13,120
Speaker 1: mean they're about those mandates. Well, I think that if

806
00:40:13,120 --> 00:40:15,920
Speaker 1: you're a healthcare worker and you're taking care of the

807
00:40:16,040 --> 00:40:19,080
Speaker 1: most vulnerable people and you could potentially be a source

808
00:40:19,080 --> 00:40:21,799
Speaker 1: of transmission. I think that's a problem. But do you

809
00:40:21,840 --> 00:40:23,680
Speaker 1: fire them? Do you put them into another division? Do

810
00:40:23,719 --> 00:40:25,479
Speaker 1: you just put them with a secretary. That's a good question.

811
00:40:25,600 --> 00:40:27,520
Speaker 1: Maybe maybe maybe they maybe they could be in a

812
00:40:27,560 --> 00:40:30,000
Speaker 1: position where they're not directly taking care of patients. Like,

813
00:40:30,080 --> 00:40:32,359
Speaker 1: let's put it this way. What if your loved one

814
00:40:32,400 --> 00:40:35,680
Speaker 1: was in the hospital and as a result of somebody

815
00:40:35,880 --> 00:40:37,879
Speaker 1: not being vaccinated in the hospital, You're loved one who's

816
00:40:37,880 --> 00:40:42,040
Speaker 1: already sick, already vulnerable, now gets COVID because a healthcare

817
00:40:42,080 --> 00:40:45,120
Speaker 1: worker transmitted it to them. Could you justify that? I mean,

818
00:40:45,120 --> 00:40:46,839
Speaker 1: do we I mean it's kind of like him. Maybe

819
00:40:46,840 --> 00:40:48,560
Speaker 1: not fire them. Had to get you had to get

820
00:40:48,640 --> 00:40:50,480
Speaker 1: checked before you came up in this building. Yeah you could.

821
00:40:50,520 --> 00:40:53,160
Speaker 1: You could. You could do testing and have it. You

822
00:40:53,160 --> 00:40:55,160
Speaker 1: could still test negative and have it. And by the way,

823
00:40:55,160 --> 00:40:57,160
Speaker 1: somebody who's vaccinating could have it as well and still

824
00:40:57,160 --> 00:40:59,200
Speaker 1: testing much have it. But that gets back to the

825
00:40:59,360 --> 00:41:02,600
Speaker 1: to the idea idea of risk. You're that's true, but

826
00:41:02,640 --> 00:41:06,799
Speaker 1: you're far less likely dj to to have it to

827
00:41:06,920 --> 00:41:09,600
Speaker 1: get it to transmit it if you've been vaccinated. If

828
00:41:09,600 --> 00:41:13,600
Speaker 1: you're demanding one hundred percent protection with anything probably in life,

829
00:41:13,600 --> 00:41:15,319
Speaker 1: you're not going to get it. What does that mean

830
00:41:15,360 --> 00:41:17,040
Speaker 1: you don't try at all? Yeah? What if a healthcare

831
00:41:17,040 --> 00:41:18,480
Speaker 1: worker was like, I don't want to wear gloves or

832
00:41:18,520 --> 00:41:20,640
Speaker 1: a mask because I don't feel like that really does

833
00:41:20,680 --> 00:41:23,600
Speaker 1: anything right. The vaccination is way different than gloves in

834
00:41:23,600 --> 00:41:25,719
Speaker 1: the mask. Some people feel differently about it because we

835
00:41:25,760 --> 00:41:27,600
Speaker 1: haven't been gotten we haven't been given to one hundred

836
00:41:27,640 --> 00:41:30,279
Speaker 1: percent facts. Everything changes, and you can understand why people

837
00:41:30,320 --> 00:41:32,520
Speaker 1: are a little weary because we don't know. Every week

838
00:41:32,600 --> 00:41:35,360
Speaker 1: something changes. We are all going through something that is

839
00:41:35,719 --> 00:41:40,640
Speaker 1: truly unprecedented together. This virus is new, So the idea

840
00:41:40,640 --> 00:41:42,960
Speaker 1: that we didn't know exactly how to handle it in

841
00:41:43,000 --> 00:41:46,879
Speaker 1: the beginning shouldn't really surprise anybody. Doctor. If more people

842
00:41:46,880 --> 00:41:49,759
Speaker 1: would have said that early on, even the experts, I

843
00:41:49,960 --> 00:41:52,000
Speaker 1: guarantee you you'd be seeing a different response from the

844
00:41:52,000 --> 00:41:54,600
Speaker 1: American public like, yeah, we don't know what this is.

845
00:41:54,880 --> 00:41:59,319
Speaker 1: But I feel like experts also didn't know, because I'm

846
00:41:59,360 --> 00:42:03,120
Speaker 1: sure you would getting new evidence and then realizing different things.

847
00:42:02,640 --> 00:42:05,680
Speaker 1: I think absolutely you know, and I think one of

848
00:42:05,719 --> 00:42:08,120
Speaker 1: the big ones. Was this idea that this virus would

849
00:42:08,200 --> 00:42:12,760
Speaker 1: spread asymptomatically, these silent carriers of the virus. What about

850
00:42:12,760 --> 00:42:15,239
Speaker 1: the variants? How much has that changed the course? That

851
00:42:15,360 --> 00:42:17,800
Speaker 1: changed things a lot, because we thought in many ways

852
00:42:17,840 --> 00:42:20,440
Speaker 1: going into the summer of last year that the numbers

853
00:42:20,440 --> 00:42:22,319
Speaker 1: were going to go down and they were going to

854
00:42:22,360 --> 00:42:25,879
Speaker 1: stay down. Typically, you know, viruses don't spread as well

855
00:42:25,880 --> 00:42:28,960
Speaker 1: when it gets hotter and more humid outside. But then

856
00:42:29,000 --> 00:42:31,560
Speaker 1: Delta and all of a sudden things started happening again.

857
00:42:31,640 --> 00:42:34,920
Speaker 1: Numbers started going up that would have been very hard

858
00:42:34,960 --> 00:42:37,680
Speaker 1: to predict. And we may have another variant. I will

859
00:42:37,680 --> 00:42:41,040
Speaker 1: tell you this. And again you guys are right to say, hey, look,

860
00:42:41,080 --> 00:42:43,200
Speaker 1: be skeptical of things. But we're following a lot of

861
00:42:43,200 --> 00:42:45,920
Speaker 1: these variants now. They are named for the letters of

862
00:42:45,960 --> 00:42:48,520
Speaker 1: the Greek alphabet, So Delta, we're going all the way

863
00:42:48,560 --> 00:42:51,239
Speaker 1: down to Mew and seeing are there other variants that

864
00:42:51,280 --> 00:42:53,040
Speaker 1: are of concern? And the good news is right now

865
00:42:53,040 --> 00:42:55,239
Speaker 1: it doesn't seem like there's ones that are going to

866
00:42:55,320 --> 00:42:59,319
Speaker 1: be as as contagious as Delta has been. But that

867
00:42:59,400 --> 00:43:02,080
Speaker 1: might be new information. Again, is it man made? Was

868
00:43:02,120 --> 00:43:04,200
Speaker 1: this made? Or I don't think so. I think the

869
00:43:04,320 --> 00:43:07,880
Speaker 1: vast majority of these pathogens jumped from animals to humans.

870
00:43:08,320 --> 00:43:10,640
Speaker 1: That's that's what we've seen, you know, seventy eighty percent

871
00:43:10,640 --> 00:43:12,680
Speaker 1: of the time. I mean, when you see something kind

872
00:43:12,719 --> 00:43:16,000
Speaker 1: of escape from a laboratory and the disease is named

873
00:43:16,040 --> 00:43:20,480
Speaker 1: after the laboratory had escape from, I mean, it's kind

874
00:43:20,520 --> 00:43:29,040
Speaker 1: of hardy named after them. What do you mean, virology.

875
00:43:29,320 --> 00:43:31,640
Speaker 1: I did a whole documentary about this, and I think

876
00:43:31,719 --> 00:43:35,160
Speaker 1: again we should ask questions about this. It is very

877
00:43:35,200 --> 00:43:39,920
Speaker 1: suspicious that the very place where this virus originated is

878
00:43:39,960 --> 00:43:42,560
Speaker 1: also the home of a big institute of virology. I

879
00:43:42,600 --> 00:43:44,760
Speaker 1: don't I don't think that changes the fact that most

880
00:43:45,120 --> 00:43:48,280
Speaker 1: most of these viruses typically jump from animals to humans.

881
00:43:48,680 --> 00:43:51,720
Speaker 1: The question has been had they already found this virus

882
00:43:51,719 --> 00:43:53,279
Speaker 1: and they were studying it in the lab and then

883
00:43:53,320 --> 00:43:56,200
Speaker 1: it escaped leaked from the lab as you as you say,

884
00:43:56,719 --> 00:43:59,760
Speaker 1: I think that's still something that people think is a possibility.

885
00:44:00,080 --> 00:44:02,279
Speaker 1: The real concern here is that we really don't have

886
00:44:02,320 --> 00:44:06,400
Speaker 1: any vision on what really happened in China. The World

887
00:44:06,400 --> 00:44:10,239
Speaker 1: Health Organization went into China, they did this study, and

888
00:44:10,560 --> 00:44:13,480
Speaker 1: they weren't even allowed inside the lab. There was a

889
00:44:13,560 --> 00:44:17,480
Speaker 1: database of these coronaviruses that was taken down in September

890
00:44:17,480 --> 00:44:20,560
Speaker 1: of twenty nineteen, just a couple months before, you know,

891
00:44:20,560 --> 00:44:23,239
Speaker 1: we really started to hear about this coronavirus. Where did

892
00:44:23,239 --> 00:44:26,640
Speaker 1: that database go? Why have we never seen it? Were

893
00:44:26,640 --> 00:44:29,120
Speaker 1: their lab workers who got sick? Have we been able

894
00:44:29,120 --> 00:44:31,400
Speaker 1: to investigate what happened to them? And the answer to

895
00:44:31,400 --> 00:44:33,560
Speaker 1: all those questions is no. And I think that it's

896
00:44:33,640 --> 00:44:36,480
Speaker 1: kind of like dealing with my teenage kids. They're not

897
00:44:36,560 --> 00:44:38,520
Speaker 1: telling me the truth on something. Does that mean they're

898
00:44:38,560 --> 00:44:45,200
Speaker 1: guilty of everything? I don't know. I mean, I think

899
00:44:46,840 --> 00:44:49,280
Speaker 1: they're hiding something, but I don't know that I'm ready

900
00:44:49,320 --> 00:44:52,120
Speaker 1: to say that they're guilty of everything. But I think

901
00:44:52,120 --> 00:44:55,200
Speaker 1: it's important because if we're serious about preventing this from

902
00:44:55,200 --> 00:44:58,160
Speaker 1: happening again, which I think we can do, by the way,

903
00:44:58,200 --> 00:45:00,439
Speaker 1: that's the most inspiring thing I learned over the last

904
00:45:00,440 --> 00:45:02,160
Speaker 1: two years is that what happened over the last two

905
00:45:02,200 --> 00:45:04,759
Speaker 1: years does not need to happen again. We have it

906
00:45:04,800 --> 00:45:08,480
Speaker 1: within our capabilities to essentially make our world pandemic proof,

907
00:45:09,000 --> 00:45:12,120
Speaker 1: and we need to do that. We're growing our population,

908
00:45:12,200 --> 00:45:15,960
Speaker 1: we're increasingly living with these pathogens. We're encroaching on their

909
00:45:15,960 --> 00:45:19,239
Speaker 1: habitat these viruses, and they've been here longer than us.

910
00:45:19,320 --> 00:45:21,839
Speaker 1: And as our population expands and we get into their

911
00:45:21,880 --> 00:45:25,440
Speaker 1: their their habitat, they're gonna these jumps from animals to

912
00:45:25,480 --> 00:45:27,680
Speaker 1: humans are going to happen more and more. But that

913
00:45:27,719 --> 00:45:31,239
Speaker 1: doesn't mean it has to turn into a devastating pandemic

914
00:45:31,440 --> 00:45:33,160
Speaker 1: like we just saw. All right, we have well with

915
00:45:33,239 --> 00:45:35,919
Speaker 1: doctor Sanjay Gupta. When we come back, it's to Breakfast Club,

916
00:45:35,920 --> 00:45:40,759
Speaker 1: Gomoni moning. Everybody's dj Envy Angela Yee Schalomne, the guy

917
00:45:40,760 --> 00:45:42,360
Speaker 1: we ought to Breakfast Club is still kicking it with

918
00:45:42,400 --> 00:45:45,279
Speaker 1: doctor Sanjay Gupta. Chalomi. What would y'all do differently next time?

919
00:45:45,800 --> 00:45:48,640
Speaker 1: I remember President Omama saying that we weren't ready for

920
00:45:49,000 --> 00:45:51,000
Speaker 1: a pandemic if it was to happen. Well, you know,

921
00:45:51,239 --> 00:45:53,480
Speaker 1: but at the same time, Charlomagne, the United States was

922
00:45:53,560 --> 00:45:56,320
Speaker 1: ranked number one in the world in terms of preparedness

923
00:45:56,320 --> 00:46:00,160
Speaker 1: against pandemics. And despite that we're four percent of the

924
00:46:00,200 --> 00:46:03,280
Speaker 1: world's population, we had twenty five percent of the world's cases.

925
00:46:03,400 --> 00:46:05,960
Speaker 1: So we blew it in this regard. There's lots of

926
00:46:06,000 --> 00:46:07,600
Speaker 1: things that we could do different. But the one thing

927
00:46:07,600 --> 00:46:10,200
Speaker 1: that I would say that I came to the conclusion

928
00:46:10,239 --> 00:46:12,360
Speaker 1: of is that I think we almost have to treat

929
00:46:12,400 --> 00:46:16,640
Speaker 1: this more like we treat Department of Defense, rather than

930
00:46:16,680 --> 00:46:19,760
Speaker 1: we treat weather like I think when we think about viruses,

931
00:46:19,760 --> 00:46:22,000
Speaker 1: we think, oh, this is like a hurricane. Nothing you

932
00:46:22,000 --> 00:46:24,040
Speaker 1: can do about it. Just shelter in place, let the

933
00:46:24,120 --> 00:46:28,200
Speaker 1: hurricane pass, and then survey the damage afterward. It doesn't

934
00:46:28,239 --> 00:46:31,880
Speaker 1: have to be that way. With defense. We basically say, Okay,

935
00:46:31,880 --> 00:46:34,000
Speaker 1: we're spending a ton of money on defense every year

936
00:46:34,280 --> 00:46:39,080
Speaker 1: for potential threats, and those threats may never come, and

937
00:46:39,160 --> 00:46:41,440
Speaker 1: people will say, well, you wasted a lot of money. Well, no,

938
00:46:41,719 --> 00:46:43,560
Speaker 1: we didn't waste money because we had the peace of

939
00:46:43,560 --> 00:46:46,600
Speaker 1: mind that we're constantly looking for these threats. I think

940
00:46:46,640 --> 00:46:50,040
Speaker 1: we have to treat potential pandemics the same way. What

941
00:46:50,080 --> 00:46:53,640
Speaker 1: does that do? It makes us very proactive. We're finding

942
00:46:53,680 --> 00:46:55,960
Speaker 1: those jumps as soon as they happen. We're working on

943
00:46:56,080 --> 00:47:00,880
Speaker 1: universal vaccines, we're funding all the laboratory work. But also

944
00:47:01,320 --> 00:47:05,520
Speaker 1: we don't have to litigate every decision afterwards. Should kids

945
00:47:05,560 --> 00:47:08,960
Speaker 1: get the vaccine, should we wear masks? These things just

946
00:47:09,000 --> 00:47:12,439
Speaker 1: go into place automatically because they're now part of how

947
00:47:12,480 --> 00:47:14,359
Speaker 1: we do things as a country. Do you think masks

948
00:47:14,360 --> 00:47:16,160
Speaker 1: are here to stay. I don't think they're here to say,

949
00:47:16,200 --> 00:47:17,719
Speaker 1: but I think they may come and go. Like we

950
00:47:17,800 --> 00:47:20,839
Speaker 1: see in other countries around the world, other countries when

951
00:47:20,840 --> 00:47:24,160
Speaker 1: you go into a respiratory virus season where there's a

952
00:47:24,160 --> 00:47:27,480
Speaker 1: lot of you know, viruses transmitting, especially in the winter months,

953
00:47:27,800 --> 00:47:30,440
Speaker 1: people are more likely to wear masks. And if we

954
00:47:30,480 --> 00:47:33,560
Speaker 1: did that, it would help with this particular pandemic, but

955
00:47:33,600 --> 00:47:36,080
Speaker 1: it also helped with things like flu. This gets back

956
00:47:36,120 --> 00:47:38,560
Speaker 1: to the same thing about the compassion, like what are

957
00:47:38,600 --> 00:47:41,120
Speaker 1: we willing to tolerate? I think that's what this is

958
00:47:41,160 --> 00:47:44,320
Speaker 1: going to come down to. Sixty thousand people die of

959
00:47:44,360 --> 00:47:46,480
Speaker 1: flu every year. We don't have to have sixty thousand

960
00:47:46,520 --> 00:47:48,239
Speaker 1: people die of flu. Yeah, we don't have to have

961
00:47:48,239 --> 00:47:50,200
Speaker 1: all the people dives. You know, cigarettes were not to

962
00:47:50,200 --> 00:47:51,920
Speaker 1: have all the people die of poverty. We don't have

963
00:47:51,920 --> 00:47:53,600
Speaker 1: to have all the people die at least brutality like

964
00:47:53,800 --> 00:47:56,719
Speaker 1: America's like, that's a tough question to ask America. What

965
00:47:56,719 --> 00:47:59,480
Speaker 1: are we willing to tolerate? Clearly a lot it's a

966
00:47:59,520 --> 00:48:06,040
Speaker 1: sad I don't I'm an optimistic guy. I'm black. Maybe

967
00:48:06,120 --> 00:48:07,680
Speaker 1: I would love to have that optimism. I listen to

968
00:48:07,680 --> 00:48:11,680
Speaker 1: sounds of blackness of optimism. Here does that get better? Charloman,

969
00:48:12,200 --> 00:48:14,360
Speaker 1: I don't know it was until like over the past,

970
00:48:14,400 --> 00:48:16,799
Speaker 1: you know, four or five years. I really think disinformation

971
00:48:16,920 --> 00:48:18,960
Speaker 1: is going to really like be the death of us

972
00:48:18,960 --> 00:48:20,680
Speaker 1: in a lot of ways. I really think social media

973
00:48:20,719 --> 00:48:23,719
Speaker 1: is is that dangerous because of situations like this, Because

974
00:48:23,719 --> 00:48:26,200
Speaker 1: when there are matters of life or death like this

975
00:48:26,360 --> 00:48:30,799
Speaker 1: pandemic was, what is the objective? Like? Is it just

976
00:48:30,920 --> 00:48:34,080
Speaker 1: to create chaos? Is it just to so doubt? Like

977
00:48:34,160 --> 00:48:35,880
Speaker 1: if I go on, if I go online and I

978
00:48:35,920 --> 00:48:37,520
Speaker 1: say a new car, I'm searching for a new car,

979
00:48:37,520 --> 00:48:39,560
Speaker 1: and I get a bunch of forward ads. I kind

980
00:48:39,600 --> 00:48:41,040
Speaker 1: of get that they're trying to sell me a forward,

981
00:48:41,600 --> 00:48:46,240
Speaker 1: But why do people what's the purpose of just creating chaos?

982
00:48:46,480 --> 00:48:48,880
Speaker 1: Let me ask you. People are contrarians and they like

983
00:48:48,920 --> 00:48:52,120
Speaker 1: to be contrary to things, and they don't trust government.

984
00:48:52,320 --> 00:48:54,880
Speaker 1: And what about people who aren't what about political pundits

985
00:48:54,880 --> 00:48:57,160
Speaker 1: on CNN? And you got a lot of backlash because

986
00:48:57,200 --> 00:49:00,440
Speaker 1: you know, you admitted that CNN was wrong for labeling

987
00:49:01,400 --> 00:49:05,120
Speaker 1: a horse to warmer. Well, look again, this is one

988
00:49:05,120 --> 00:49:07,400
Speaker 1: of those nuanced sort of things. And I think the

989
00:49:07,480 --> 00:49:09,719
Speaker 1: situation there just and I think a lot of people

990
00:49:09,840 --> 00:49:13,480
Speaker 1: know this, is that there was this belief that iver

991
00:49:13,640 --> 00:49:16,640
Speaker 1: mechtin was a medication that could treat COVID. There was

992
00:49:16,680 --> 00:49:19,720
Speaker 1: no evidence to support that, but all of a sudden,

993
00:49:19,719 --> 00:49:21,560
Speaker 1: there were a lot of people out there wanting ivermectin.

994
00:49:21,640 --> 00:49:24,239
Speaker 1: Their doctors were not prescribing it for them because it

995
00:49:24,280 --> 00:49:26,920
Speaker 1: was not approved or authorized for that. So what did

996
00:49:26,920 --> 00:49:30,680
Speaker 1: people do? They went and received the veterinary formulations of this.

997
00:49:31,320 --> 00:49:33,719
Speaker 1: So that's why it got labeled to horste Warmer. That

998
00:49:33,760 --> 00:49:35,920
Speaker 1: wasn't made up out of whole cloth. Why do you

999
00:49:35,920 --> 00:49:38,000
Speaker 1: say they were wrong, because there's another form of what

1000
00:49:38,440 --> 00:49:39,960
Speaker 1: I didn't say. They were wrong. What I said so

1001
00:49:40,000 --> 00:49:42,400
Speaker 1: I was talking to Joe Rogan. In Joe's case, he

1002
00:49:42,560 --> 00:49:45,720
Speaker 1: got the prescription from a doctor, so he wasn't taking

1003
00:49:45,719 --> 00:49:49,040
Speaker 1: the veterinary form of the medication. The human form of

1004
00:49:49,040 --> 00:49:52,480
Speaker 1: the medication is a well known medication and it's very

1005
00:49:52,520 --> 00:49:55,200
Speaker 1: good at treating parasites. But just like we saw with

1006
00:49:55,280 --> 00:49:59,919
Speaker 1: hydroxy chloroquine early on, there was no evidence that hydroxychloroquine work.

1007
00:50:00,280 --> 00:50:03,239
Speaker 1: It took time to prove that, and seeing the same

1008
00:50:03,239 --> 00:50:06,680
Speaker 1: thing with ivermectin, how close are we defining like a

1009
00:50:06,760 --> 00:50:08,960
Speaker 1: cure or maybe some type of treatment you can take

1010
00:50:09,080 --> 00:50:11,680
Speaker 1: once you do get cold, because I've heard there's several

1011
00:50:11,719 --> 00:50:14,560
Speaker 1: things on the market that they've been testing that look promising. Yeah,

1012
00:50:14,760 --> 00:50:17,640
Speaker 1: I mean just even just a couple hours ago, Fiser

1013
00:50:17,880 --> 00:50:22,600
Speaker 1: just announced another a potential therapeutic, something that you would

1014
00:50:22,640 --> 00:50:25,719
Speaker 1: take if you got COVID to reduce the likelihood that

1015
00:50:25,719 --> 00:50:29,000
Speaker 1: you would get sick. So this is different than a vaccine, again,

1016
00:50:29,000 --> 00:50:31,839
Speaker 1: which is still preferable because I do believe that it's

1017
00:50:31,840 --> 00:50:33,840
Speaker 1: best not to get the virus in the infection in

1018
00:50:33,840 --> 00:50:36,120
Speaker 1: the first place. But there's two things now out there.

1019
00:50:36,160 --> 00:50:39,000
Speaker 1: Fiser just announced this today and Murk has something as well.

1020
00:50:39,280 --> 00:50:43,040
Speaker 1: It's available for people. Merciless Merk's already out. The Fiser

1021
00:50:43,080 --> 00:50:45,560
Speaker 1: one has the data just came out today. There they're

1022
00:50:45,600 --> 00:50:48,120
Speaker 1: going to be a FDA's reviewing it, they say maybe

1023
00:50:48,160 --> 00:50:50,080
Speaker 1: by the end of the year. So pill, what is

1024
00:50:50,120 --> 00:50:53,319
Speaker 1: the pill? It's called Malno pure Viewer. It's a it's

1025
00:50:53,320 --> 00:50:55,719
Speaker 1: an anti viral. I mean, you know, we would think

1026
00:50:55,719 --> 00:50:58,920
Speaker 1: about antibiotics a lot, and that's for bacterial infections. There

1027
00:50:58,920 --> 00:51:02,040
Speaker 1: aren't as many anti virals for viral infections. With all

1028
00:51:02,080 --> 00:51:04,080
Speaker 1: the money that we spend in all his research, whether

1029
00:51:04,080 --> 00:51:07,080
Speaker 1: it's HIV and AIDS, or it's cancer or somebody the

1030
00:51:07,280 --> 00:51:10,920
Speaker 1: other diseases and viruses that we don't have cures from it,

1031
00:51:11,160 --> 00:51:13,200
Speaker 1: that doesn't seem strange. It seems like we have the

1032
00:51:13,239 --> 00:51:17,480
Speaker 1: smartest scientists, we have the best technology. I hear you,

1033
00:51:17,560 --> 00:51:19,919
Speaker 1: but you know, I gotta just just as somebody who

1034
00:51:20,200 --> 00:51:23,120
Speaker 1: is a doctor myself. People that'll be like, the reason

1035
00:51:23,160 --> 00:51:25,160
Speaker 1: they are is there really is one, but the money's

1036
00:51:25,200 --> 00:51:27,600
Speaker 1: in the treatment. But I look at it differently because

1037
00:51:27,760 --> 00:51:30,000
Speaker 1: like HIV AIDS, we've been trying to get a vaccine

1038
00:51:30,000 --> 00:51:32,520
Speaker 1: for forty years. I mean the fastest of the vaccines's

1039
00:51:32,520 --> 00:51:34,799
Speaker 1: ever been developed is four years. So the fact that

1040
00:51:34,800 --> 00:51:37,319
Speaker 1: they got a vaccine as quickly as they did, some

1041
00:51:37,320 --> 00:51:40,960
Speaker 1: people say, well, they rushed it. That's obviously a bad vaccine.

1042
00:51:41,440 --> 00:51:44,040
Speaker 1: Other people will say, well, man, that was our moonshot.

1043
00:51:44,440 --> 00:51:49,920
Speaker 1: We didn't think you know, it could happen. Look you know,

1044
00:51:52,080 --> 00:51:54,720
Speaker 1: But I mean stuff like that does make people skeptical.

1045
00:51:55,000 --> 00:51:56,600
Speaker 1: Does it make you skeptical or does it make it

1046
00:51:56,680 --> 00:52:00,320
Speaker 1: something we're celebrating too? Can't we celebrate the recodism answers

1047
00:52:00,320 --> 00:52:02,360
Speaker 1: to science? So it should be faster. I agree, So

1048
00:52:02,480 --> 00:52:04,959
Speaker 1: trump in Operation wolf Speed should get a lot of credit.

1049
00:52:05,080 --> 00:52:07,120
Speaker 1: They should, they should, and we and you know, look,

1050
00:52:07,200 --> 00:52:10,640
Speaker 1: I did a whole documentary. I think the the developers

1051
00:52:10,640 --> 00:52:13,600
Speaker 1: of these mRNA vaccines may receive a Nobel Prize for this.

1052
00:52:13,760 --> 00:52:15,440
Speaker 1: You know, some of these scientists have been working on

1053
00:52:15,480 --> 00:52:19,480
Speaker 1: this for decades. People say, well, this was rushed. Well, actually,

1054
00:52:19,480 --> 00:52:23,319
Speaker 1: the technology behind messenger RNA m RNA vaccines, it's been

1055
00:52:23,320 --> 00:52:25,000
Speaker 1: worked on for a long time. So how much credit

1056
00:52:25,000 --> 00:52:27,160
Speaker 1: to Trumpet? I think he should get a lot of credit.

1057
00:52:27,360 --> 00:52:29,040
Speaker 1: He got a lot of flak. Well, I think it

1058
00:52:29,239 --> 00:52:31,799
Speaker 1: was flack. I think a little bit came from the

1059
00:52:31,840 --> 00:52:34,880
Speaker 1: fact that why didn't he embrace the vaccine? It was

1060
00:52:34,920 --> 00:52:36,520
Speaker 1: he tried to remember he tried, he tried to name

1061
00:52:36,560 --> 00:52:38,879
Speaker 1: it after himself. Remember did he do that? I really

1062
00:52:38,920 --> 00:52:41,640
Speaker 1: hell yeah, But he didn't take I mean he didn't,

1063
00:52:41,640 --> 00:52:43,680
Speaker 1: he didn't publicly take it. I should say he eventually

1064
00:52:43,680 --> 00:52:46,000
Speaker 1: took the vaccine. I don't know. Again, thought he was

1065
00:52:46,000 --> 00:52:48,160
Speaker 1: trying to take all the credit. I wasn't missed that

1066
00:52:48,160 --> 00:52:51,080
Speaker 1: because I thought he was part of it. I think,

1067
00:52:51,120 --> 00:52:52,640
Speaker 1: if you've done this, he's trying to get it out

1068
00:52:52,640 --> 00:52:56,040
Speaker 1: before he election. You said that early in interview. I yeah, no, no,

1069
00:52:56,120 --> 00:52:57,800
Speaker 1: that that's the thing. There was all these sort of

1070
00:52:57,840 --> 00:53:00,319
Speaker 1: conflicting messages. You know, we did it, we at it,

1071
00:53:00,360 --> 00:53:02,200
Speaker 1: and it was great. Now let's get it out there.

1072
00:53:02,600 --> 00:53:08,000
Speaker 1: But then it became like everything else so politicized. Every name.

1073
00:53:08,120 --> 00:53:11,279
Speaker 1: One thing that did not get politicized, masks, vaccines, these

1074
00:53:11,320 --> 00:53:15,000
Speaker 1: therapeutics you're talking about DJ they'll get politicized. They already are. Hey,

1075
00:53:15,280 --> 00:53:18,080
Speaker 1: why would you take that instead of the vaccine, ivermectin.

1076
00:53:18,200 --> 00:53:21,319
Speaker 1: Everything gets I can't think of one thing that did

1077
00:53:21,320 --> 00:53:25,440
Speaker 1: not get politicized in this entire pandemic, and it's heartbreaking

1078
00:53:25,520 --> 00:53:27,239
Speaker 1: in a way. I agree. How would you tell people

1079
00:53:27,239 --> 00:53:29,239
Speaker 1: to handle this holiday season? I don't know. If you're

1080
00:53:29,280 --> 00:53:31,760
Speaker 1: gonna like it, don't tell us. I think the vaccine.

1081
00:53:31,920 --> 00:53:33,560
Speaker 1: There are people who are going to be getting together

1082
00:53:33,880 --> 00:53:36,680
Speaker 1: with their loved ones, which I think is fantastic. I'm

1083
00:53:36,719 --> 00:53:39,200
Speaker 1: looking forward to this myself with my kids and my parents.

1084
00:53:39,680 --> 00:53:42,280
Speaker 1: They're going to be indoors because the weather's cooler around

1085
00:53:42,280 --> 00:53:45,320
Speaker 1: most of the country. They're going to be snuggling in close.

1086
00:53:45,360 --> 00:53:47,600
Speaker 1: It's the holidays, you know, and watching movies together on

1087
00:53:47,600 --> 00:53:52,040
Speaker 1: the couch. Whatever you do and the idea that you

1088
00:53:52,080 --> 00:53:55,279
Speaker 1: can feel the most comfortable that someone around you is

1089
00:53:55,320 --> 00:53:58,440
Speaker 1: not potentially going to transmit the virus to somebody who's vulnerable.

1090
00:53:58,960 --> 00:54:02,000
Speaker 1: I think is really important, and I think the vaccine

1091
00:54:02,080 --> 00:54:06,160
Speaker 1: is our best bet at doing that. This week, five

1092
00:54:06,200 --> 00:54:08,279
Speaker 1: to eleven year olds can start getting it now, So

1093
00:54:08,320 --> 00:54:12,000
Speaker 1: seven weeks from now start that's right. Yeah, no, that's

1094
00:54:12,000 --> 00:54:14,600
Speaker 1: exactly right. So now and then three weeks is the

1095
00:54:14,640 --> 00:54:17,000
Speaker 1: next shot, and then you'd be considered you'd be considered

1096
00:54:17,080 --> 00:54:19,719
Speaker 1: vaccinated two weeks after that, so potentially five weeks from

1097
00:54:19,719 --> 00:54:22,480
Speaker 1: now you could be considered vaccinated. Well, doctor the Sun

1098
00:54:22,640 --> 00:54:24,760
Speaker 1: Jake that we appreciate you. That was a great conversation.

1099
00:54:24,760 --> 00:54:26,399
Speaker 1: I know you gotta run, but thank you so much.

1100
00:54:26,480 --> 00:54:28,799
Speaker 1: What a pleasure. Thanks for having me. It's the Breakfast Club,

1101
00:54:28,840 --> 00:54:40,040
Speaker 1: Good Mornings. This is the rule of report with Angela. Well.

1102
00:54:40,080 --> 00:54:43,920
Speaker 1: Congratulations to Nori and DJ e F and Drink Champs.

1103
00:54:43,960 --> 00:54:47,720
Speaker 1: The episode of Kanye West made history for revolt. So

1104
00:54:48,000 --> 00:54:51,880
Speaker 1: according to the Chief brand Officer of Combs Enterprises, Dion Graham,

1105
00:54:52,160 --> 00:54:54,400
Speaker 1: we're both long term partnership with Drink Champs is a

1106
00:54:54,440 --> 00:54:57,000
Speaker 1: perfect example that we are more powerful together when we

1107
00:54:57,080 --> 00:54:59,920
Speaker 1: use our platforms to control our narrative and give the

1108
00:55:00,080 --> 00:55:04,040
Speaker 1: voices shaping our culture the freedom to create unapologetically. And

1109
00:55:04,280 --> 00:55:07,719
Speaker 1: Nori said, yeah, they say an interview of the year. Yea,

1110
00:55:07,880 --> 00:55:11,600
Speaker 1: they also calling me, calling me Nori yaga the y'alla

1111
00:55:11,719 --> 00:55:14,520
Speaker 1: getting to the YadA y'alla. To many views to count

1112
00:55:14,560 --> 00:55:17,240
Speaker 1: I'm gonna stay home and drink guarda praise God dropping

1113
00:55:17,800 --> 00:55:22,040
Speaker 1: for drink Champs three million views and counting. Love it Yeah,

1114
00:55:22,160 --> 00:55:25,160
Speaker 1: number one on the Apple Music Podcast Charts. Two men,

1115
00:55:25,200 --> 00:55:26,879
Speaker 1: go check that out on the Black Effect I Heart

1116
00:55:26,920 --> 00:55:30,600
Speaker 1: Radio podcast network. All right, now, some responses to that

1117
00:55:30,719 --> 00:55:34,439
Speaker 1: interview have been coming in all weekend, So let's start

1118
00:55:34,440 --> 00:55:38,840
Speaker 1: with Soldier Boy responding. Now. As you recall, so, Dubois

1119
00:55:38,960 --> 00:55:42,480
Speaker 1: was not happy to be left off of Kanye's Donda album,

1120
00:55:42,600 --> 00:55:45,359
Speaker 1: and when he was on with Academics, he had him

1121
00:55:45,400 --> 00:55:47,759
Speaker 1: read some of the messages that Kanye sent to him.

1122
00:55:48,200 --> 00:55:53,600
Speaker 1: Draco returned it finished a five thirty the next day. Okay, like,

1123
00:55:53,680 --> 00:55:58,359
Speaker 1: listen twenty four hours, this is ya gassing and now yo,

1124
00:55:59,040 --> 00:56:03,480
Speaker 1: Kanye pushed so much aid and zas and ease. I

1125
00:56:03,640 --> 00:56:12,120
Speaker 1: feel you feel you know what somebody gas you. Well,

1126
00:56:12,120 --> 00:56:15,239
Speaker 1: it was a different story when Kanye was on Drink Champs.

1127
00:56:15,280 --> 00:56:17,040
Speaker 1: Here's what he said about leaving Soldier Boy off. The

1128
00:56:17,080 --> 00:56:22,120
Speaker 1: album with Soldier Boy is top five most influential. It's like,

1129
00:56:22,200 --> 00:56:25,200
Speaker 1: take them off your album. You didn't hear that verse? Nope,

1130
00:56:25,640 --> 00:56:30,120
Speaker 1: he was apparently man the verse Noah, But I'll tell

1131
00:56:30,160 --> 00:56:34,080
Speaker 1: you what though, Soldier Boy is the future though. That's

1132
00:56:34,080 --> 00:56:36,400
Speaker 1: why you have to send Kanye healing energy. Kanye is

1133
00:56:36,440 --> 00:56:41,120
Speaker 1: a true Gemini. Kanye will say that you know, behind

1134
00:56:41,120 --> 00:56:44,839
Speaker 1: the scenes the Soldier Boy, but then publicly say something else.

1135
00:56:44,960 --> 00:56:48,560
Speaker 1: All right, well, Soldier Boy has responded to what Kanye

1136
00:56:48,560 --> 00:56:54,279
Speaker 1: said on Drink Champs and Soldier Boy fashion that was cy,

1137
00:56:55,000 --> 00:56:59,160
Speaker 1: you've nothing a baby with a mother. Soldier Boy is

1138
00:56:59,160 --> 00:57:02,680
Speaker 1: the future. Shut the come can you talk? And you

1139
00:57:02,680 --> 00:57:06,160
Speaker 1: said my first wasn't hard, dude, Everything to come out

1140
00:57:06,239 --> 00:57:12,320
Speaker 1: my mother and mouth is hard. What did you talking about? West?

1141
00:57:13,080 --> 00:57:16,760
Speaker 1: Yo album was trash just because it's your album? Know me,

1142
00:57:16,880 --> 00:57:18,800
Speaker 1: you get the pick with them. It's hard and what

1143
00:57:19,240 --> 00:57:22,040
Speaker 1: put it out and let the people decide what the

1144
00:57:22,320 --> 00:57:25,760
Speaker 1: it's hard? He say, who cuts your hair? Man? Forget that?

1145
00:57:25,800 --> 00:57:27,640
Speaker 1: I know you isolated that for me, Dan, you know

1146
00:57:27,680 --> 00:57:30,520
Speaker 1: what I need From that point we know what you need,

1147
00:57:30,840 --> 00:57:34,880
Speaker 1: all right was a wild in addition to see that

1148
00:57:34,960 --> 00:57:38,000
Speaker 1: big sean um. Well, there's a lot of responses. Hey,

1149
00:57:38,040 --> 00:57:40,440
Speaker 1: let's talk about jfs Blade first. Now, Kanye was on

1150
00:57:40,560 --> 00:57:43,080
Speaker 1: Drink Champs and he called Jess Blade is a copycat

1151
00:57:43,640 --> 00:57:46,680
Speaker 1: Swiss Beat or Jess Blades or Swiss Beast definitely because

1152
00:57:46,760 --> 00:57:48,919
Speaker 1: Jess Blade is a copycat. You know, he gets credit

1153
00:57:48,960 --> 00:57:50,720
Speaker 1: for the blueprint and I did the first half of

1154
00:57:50,760 --> 00:57:53,360
Speaker 1: the blueprint and he just copied my half and got

1155
00:57:53,680 --> 00:57:55,400
Speaker 1: I mean, look look where I'm out today, Look where

1156
00:57:55,400 --> 00:57:57,560
Speaker 1: he had today. Jessinst egregious thing he said in that

1157
00:57:57,560 --> 00:58:01,000
Speaker 1: whole that's hate like Jess Blade sounds like nobody, not

1158
00:58:01,040 --> 00:58:03,120
Speaker 1: at all. Well, if you recall just Blaze did respond

1159
00:58:03,160 --> 00:58:05,440
Speaker 1: on social media. He said he was addressing a public

1160
00:58:05,800 --> 00:58:09,120
Speaker 1: publicly because it was stated publicly. And he goes on

1161
00:58:09,200 --> 00:58:11,960
Speaker 1: to say that Kanye did reach out to collaborate on

1162
00:58:12,040 --> 00:58:15,120
Speaker 1: various projects, including a collaborative project that he was looking

1163
00:58:15,120 --> 00:58:16,920
Speaker 1: for me to handle a good amount of you know

1164
00:58:16,920 --> 00:58:19,120
Speaker 1: who else responded Jay Z he was doing a live

1165
00:58:19,200 --> 00:58:22,959
Speaker 1: Twitter chat to discuss the Herder they Fall, and here's

1166
00:58:23,000 --> 00:58:25,200
Speaker 1: what he had to say on that chat. The Jus

1167
00:58:25,360 --> 00:58:27,919
Speaker 1: Blaze thing was a bit unfair because if you're making

1168
00:58:27,960 --> 00:58:32,720
Speaker 1: an album and the assignment and soul samples, everyone's coming

1169
00:58:32,760 --> 00:58:35,840
Speaker 1: with soul, You're trying to make a cohesive piece of music.

1170
00:58:35,880 --> 00:58:38,200
Speaker 1: I don't think anyone was copping off any you know,

1171
00:58:38,280 --> 00:58:40,880
Speaker 1: bank has this problem, and you know the baby was

1172
00:58:40,920 --> 00:58:43,880
Speaker 1: the blueprint, and I think everyone should be prized for

1173
00:58:44,000 --> 00:58:46,960
Speaker 1: what we created. My guy Kas asked that question to

1174
00:58:47,120 --> 00:58:50,720
Speaker 1: drop on a clues box from My Man Cast. In

1175
00:58:50,800 --> 00:58:54,360
Speaker 1: addition to a Beanie seagull is saying that Kanye promised

1176
00:58:54,400 --> 00:58:56,800
Speaker 1: him some money. Now, when Kanye was on Drink TAMPT,

1177
00:58:56,840 --> 00:58:59,480
Speaker 1: he did say he owes Beanie Seagull money. I still

1178
00:58:59,480 --> 00:59:01,600
Speaker 1: owe need money and I've been trying to give him

1179
00:59:01,600 --> 00:59:03,880
Speaker 1: this money for a minute. He's gonna get the money.

1180
00:59:03,960 --> 00:59:07,120
Speaker 1: He gonna get the money. Henna, Yeah, because really, how

1181
00:59:07,120 --> 00:59:08,760
Speaker 1: do you own money? Though? I don't want to because

1182
00:59:08,760 --> 00:59:12,480
Speaker 1: he made up the name easy. Well, here's what Beanie

1183
00:59:12,480 --> 00:59:26,160
Speaker 1: Seagull had to say about that millions to one point

1184
00:59:26,240 --> 00:59:32,800
Speaker 1: some a buildings check for wow, So cut the check.

1185
00:59:33,080 --> 00:59:35,760
Speaker 1: I don't want a million dollars and five percent stock

1186
00:59:35,840 --> 00:59:37,680
Speaker 1: and yeasy, I don't want to hear the lip service

1187
00:59:37,720 --> 00:59:39,920
Speaker 1: from Kanye I want to hear him actually cut the check.

1188
00:59:39,960 --> 00:59:41,760
Speaker 1: Cut the check for Beanie because you know now it

1189
00:59:41,800 --> 00:59:43,400
Speaker 1: was public. Now like that can be using the call

1190
00:59:43,440 --> 00:59:45,800
Speaker 1: the law right he said he owes the money. He

1191
00:59:45,800 --> 00:59:47,880
Speaker 1: didn't say that. I'm not that I'm talking I'm talking

1192
00:59:47,880 --> 00:59:49,960
Speaker 1: about the amount, but the fact that he did say

1193
00:59:50,480 --> 00:59:53,560
Speaker 1: Beanie Seagull created this name, so that that could be

1194
00:59:53,600 --> 00:59:55,560
Speaker 1: using to call the law paper. Run that man his money.

1195
00:59:55,600 --> 00:59:57,800
Speaker 1: But it just doesn't say what amount he'll he'll give him.

1196
00:59:58,000 --> 01:00:00,280
Speaker 1: That's the only thing, all right, Well, that is your

1197
01:00:00,400 --> 01:00:03,080
Speaker 1: rumor reports. Can I hear the soldier boy thing one time? Though?

1198
01:00:03,520 --> 01:00:08,960
Speaker 1: Everything come out the mouth is hard? So you care

1199
01:00:09,000 --> 01:00:12,760
Speaker 1: about man drop when the clues bobs with Soldier boy

1200
01:00:12,840 --> 01:00:17,240
Speaker 1: Man Soldier, it's so damn entertaining, so you can't care

1201
01:00:17,280 --> 01:00:22,320
Speaker 1: about this. By the way, the podcast is now a

1202
01:00:22,480 --> 01:00:27,960
Speaker 1: six million in counting for a revolt. That's huge. No,

1203
01:00:28,120 --> 01:00:29,600
Speaker 1: you'd be listening. I don't know how he does it

1204
01:00:30,960 --> 01:00:33,640
Speaker 1: heart radio app head for I'm just saying he's always listening.

1205
01:00:33,640 --> 01:00:37,240
Speaker 1: I don't know how he's up running the morning, does

1206
01:00:37,280 --> 01:00:39,720
Speaker 1: his job in the morning. He got her. We're gonna

1207
01:00:39,720 --> 01:00:41,960
Speaker 1: do the marathon together. Man. The marathon was in New

1208
01:00:42,000 --> 01:00:44,240
Speaker 1: York City this weekend. We got to start training now,

1209
01:00:44,680 --> 01:00:47,480
Speaker 1: all right, who are giving that? Don't? Man? You know,

1210
01:00:47,560 --> 01:00:52,720
Speaker 1: we hear stories about police officers torturing people in jail cells,

1211
01:00:52,840 --> 01:00:55,680
Speaker 1: but this, this is by far, this is one of

1212
01:00:55,720 --> 01:00:58,080
Speaker 1: the worst I've ever heard. Man. We'll talk about it

1213
01:00:58,120 --> 01:01:00,280
Speaker 1: for after the hour. The Oklahoma office is from the

1214
01:01:00,280 --> 01:01:01,880
Speaker 1: Oklahoma County Jail. Need to come to the front of

1215
01:01:01,880 --> 01:01:03,360
Speaker 1: the congregation. We like that have the world with them,

1216
01:01:03,400 --> 01:01:05,240
Speaker 1: all right, We'll get to that. Next. It's the Breakfast Club.

1217
01:01:05,280 --> 01:01:08,760
Speaker 1: Come on, so Breakfast Club. Your mornings will never be

1218
01:01:08,920 --> 01:01:13,320
Speaker 1: the same. No bids created the More Than Just Words

1219
01:01:13,320 --> 01:01:17,280
Speaker 1: Initiative to raise awareness about racial disparities and breast cancer care.

1220
01:01:17,640 --> 01:01:20,040
Speaker 1: To learn more about what more than Just Words hopes

1221
01:01:20,080 --> 01:01:23,280
Speaker 1: to accomplish, ant here talk with Grammy nominated R and

1222
01:01:23,280 --> 01:01:27,000
Speaker 1: B artist Jasmine Sullivan. Visit more Than Just Words dot

1223
01:01:27,120 --> 01:01:37,960
Speaker 1: us for Donkey of the Day. I'm a Democrat, so

1224
01:01:38,080 --> 01:01:40,200
Speaker 1: being Dunky of the Day a little bit of a

1225
01:01:40,240 --> 01:01:48,760
Speaker 1: mixed club like an Now, I've been called a lot

1226
01:01:48,800 --> 01:01:50,800
Speaker 1: of my twenty three years, but Donkey of the Day

1227
01:01:50,880 --> 01:01:54,560
Speaker 1: is a new wife. Yeah, Donkey today for Monday, November eighth,

1228
01:01:54,640 --> 01:01:57,680
Speaker 1: goes to officers at the Oklahoma County Jail. The officers

1229
01:01:57,800 --> 01:02:02,320
Speaker 1: names a sheriff, Tommy Daunching. The third who else is

1230
01:02:02,400 --> 01:02:05,400
Speaker 1: named in this lawsuit the Border County Commissioners, the Jail Trust,

1231
01:02:05,440 --> 01:02:08,040
Speaker 1: and two former jail officers. Now they are being sued

1232
01:02:08,480 --> 01:02:11,640
Speaker 1: because they're being accused of failing to adequately train and

1233
01:02:11,680 --> 01:02:14,480
Speaker 1: supervise its officers. Now, these officers have a history of

1234
01:02:14,480 --> 01:02:18,280
Speaker 1: mistreatment well known to supervisors, but no actions were taken

1235
01:02:18,840 --> 01:02:21,720
Speaker 1: to stop them. Now, inmates to jail in Oklahoma said

1236
01:02:21,720 --> 01:02:24,480
Speaker 1: they were subjected to cruel and inhumane punishment of federal

1237
01:02:24,560 --> 01:02:29,000
Speaker 1: civil rights lawsuit alleged successive force describing the discipline tactics

1238
01:02:29,120 --> 01:02:32,920
Speaker 1: is torture events. Oh, it's just hard to even talk about. Look,

1239
01:02:32,920 --> 01:02:35,360
Speaker 1: it's no secret we've seen people, especially black people and

1240
01:02:35,520 --> 01:02:38,320
Speaker 1: brown people, people of color, torture in these jail cells.

1241
01:02:38,360 --> 01:02:40,760
Speaker 1: I think it would happen to Jamal Sutherland and to

1242
01:02:40,880 --> 01:02:44,440
Speaker 1: Charleston County Jail. I think about Daggett County Jails and

1243
01:02:44,520 --> 01:02:46,720
Speaker 1: Utah some years ago and how the Utah Department of

1244
01:02:46,720 --> 01:02:49,400
Speaker 1: Correction settled lawsuits with former prisoners because one of the

1245
01:02:49,440 --> 01:02:53,720
Speaker 1: former guards, Joshua Cox. According to lawsuits required prisoners to

1246
01:02:53,760 --> 01:02:58,080
Speaker 1: submit to being shocked and bitten by attack dogs in

1247
01:02:58,160 --> 01:03:01,040
Speaker 1: order to keep their jobs working out the prison fences.

1248
01:03:01,080 --> 01:03:03,240
Speaker 1: Sometimes they would abuse inmates if they simply wanted to

1249
01:03:03,240 --> 01:03:07,200
Speaker 1: return to their cells. Cots would taunt the prisoners, calling

1250
01:03:07,280 --> 01:03:10,320
Speaker 1: them the B word and the P word. They would

1251
01:03:10,360 --> 01:03:12,960
Speaker 1: wrestle with them and choked them out. Just in humane

1252
01:03:12,960 --> 01:03:15,800
Speaker 1: conditions all across the board, and the same thing it's

1253
01:03:15,840 --> 01:03:18,080
Speaker 1: happening at the Oklahoma County Jail. In fact, what these

1254
01:03:18,120 --> 01:03:21,640
Speaker 1: inmates at the Oklahoma County Jail had to endure, no

1255
01:03:21,880 --> 01:03:24,800
Speaker 1: human should have to endure. If you're easily triggered, take

1256
01:03:24,840 --> 01:03:29,560
Speaker 1: a deep breath. Don't let the traumedies inmates experience sit

1257
01:03:29,640 --> 01:03:31,840
Speaker 1: in your body too long. Another deep breath through the

1258
01:03:31,920 --> 01:03:37,960
Speaker 1: nose and hail out the mouth, and let's go to

1259
01:03:38,040 --> 01:03:40,600
Speaker 1: k f O r NBC four for the report. Police

1260
01:03:40,880 --> 01:03:43,360
Speaker 1: raf were inmates to file a federal lawsuits saying they

1261
01:03:43,360 --> 01:03:46,560
Speaker 1: were forced to listen to baby Shark at the Oklahoma

1262
01:03:46,640 --> 01:03:50,520
Speaker 1: County Jail. You know the song Do Do Do? Civil

1263
01:03:50,640 --> 01:03:54,400
Speaker 1: rights liars filed the lawsuit this week against the Oclaoma

1264
01:03:54,440 --> 01:03:57,120
Speaker 1: County Commissioners. Sheriff Tommy John said the jail trust and

1265
01:03:57,360 --> 01:04:01,880
Speaker 1: two former jailers Attorneys described the supplint tactics as torture.

1266
01:04:02,120 --> 01:04:06,280
Speaker 1: A criminal investigation last year determined four inmates were subjected

1267
01:04:06,360 --> 01:04:10,240
Speaker 1: to the Baby Shark song in an attorney visitation room

1268
01:04:10,440 --> 01:04:17,280
Speaker 1: in November and December. These officers forced inmates forston inmate

1269
01:04:17,360 --> 01:04:20,480
Speaker 1: in particular, name Joseph Mitchell, into a standing scress position

1270
01:04:20,520 --> 01:04:23,720
Speaker 1: for three to four hours while handcuffed behind his back,

1271
01:04:24,080 --> 01:04:28,000
Speaker 1: and then played Baby Shark on loop, made him listen

1272
01:04:28,040 --> 01:04:31,000
Speaker 1: to the song over and over a while physically rescreened

1273
01:04:31,040 --> 01:04:33,560
Speaker 1: in the attorney visitation room. These people are evil. Man.

1274
01:04:34,040 --> 01:04:36,120
Speaker 1: Cruel is not a strong enough word to describe what

1275
01:04:36,200 --> 01:04:38,280
Speaker 1: these folks have done. I realized this morning that I

1276
01:04:38,320 --> 01:04:40,840
Speaker 1: have PTSD because of Baby Sharks. He Baby Shark torture

1277
01:04:40,840 --> 01:04:44,040
Speaker 1: his parents. When we willingly let our kids listen to it,

1278
01:04:44,080 --> 01:04:46,160
Speaker 1: at some point you have to turn it off. Do

1279
01:04:46,240 --> 01:04:49,360
Speaker 1: you know how much I heard my second oldest who's

1280
01:04:49,400 --> 01:04:52,160
Speaker 1: now six, leaning into that damn machine? What's that machine?

1281
01:04:52,240 --> 01:04:54,280
Speaker 1: And you said, you said, Google, what's that thing called?

1282
01:04:54,720 --> 01:04:57,440
Speaker 1: The Google played that's what it's called Alexa. So I

1283
01:04:57,480 --> 01:04:59,360
Speaker 1: wasn't Alexa. They wasn't. I don't know that you just

1284
01:04:59,520 --> 01:05:02,720
Speaker 1: leaned into it and say Google play baby shock. Okay,

1285
01:05:02,960 --> 01:05:06,400
Speaker 1: like oh and that and me being prepared to listen

1286
01:05:06,440 --> 01:05:08,840
Speaker 1: to it. You know, I already knew it was gonna

1287
01:05:08,840 --> 01:05:12,920
Speaker 1: be scressful, So imagine being forced. There's nothing more terrifying

1288
01:05:13,480 --> 01:05:17,240
Speaker 1: than hearing this is apparent listen play it play. Oh

1289
01:05:17,280 --> 01:05:20,040
Speaker 1: stop stop, stop stop stop. Let's just listening to that, dude,

1290
01:05:20,080 --> 01:05:23,480
Speaker 1: didn't you just knew it was about to be coming

1291
01:05:23,640 --> 01:05:27,360
Speaker 1: and listening to it over and over and over again,

1292
01:05:27,440 --> 01:05:29,080
Speaker 1: red let it, let it ride one time for the

1293
01:05:29,120 --> 01:05:44,120
Speaker 1: one time. Oh baby checked it, din baby checked it?

1294
01:05:45,040 --> 01:05:51,720
Speaker 1: Her baby shock this one time? Slap that first you

1295
01:05:53,040 --> 01:06:04,720
Speaker 1: start shoot stop shop he shot, shot, shot, shark all right,

1296
01:06:04,800 --> 01:06:10,600
Speaker 1: now getting I ain't getting more smaller shot. Imagine being

1297
01:06:10,640 --> 01:06:12,000
Speaker 1: a house for six. We have a house of six

1298
01:06:12,120 --> 01:06:16,000
Speaker 1: now shot all right, everybody got to get a mama

1299
01:06:16,040 --> 01:06:20,520
Speaker 1: show show a right, older daughter show, Seon Mottershoft, third

1300
01:06:20,600 --> 01:06:27,800
Speaker 1: daughter show. Now you got family? All right? He's then stopping, no,

1301
01:06:27,880 --> 01:06:30,640
Speaker 1: stop and stop it, no more hope. How long it

1302
01:06:30,720 --> 01:06:33,080
Speaker 1: has been ready, how long has it been? How long

1303
01:06:33,160 --> 01:06:35,160
Speaker 1: has it been? It hasn't even been a minute thirty

1304
01:06:35,200 --> 01:06:37,920
Speaker 1: seconds all we imagine three to four hours of this

1305
01:06:38,320 --> 01:06:42,200
Speaker 1: over and over and over and over and over and

1306
01:06:42,400 --> 01:06:48,640
Speaker 1: over and over again. Che oh my god, all right,

1307
01:06:51,480 --> 01:06:55,240
Speaker 1: this is not cruel and unusual punishment. Please give these

1308
01:06:55,320 --> 01:06:58,640
Speaker 1: officers at the Oklahoma County Jail the biggest he huh

1309
01:07:00,040 --> 01:07:03,920
Speaker 1: oh man Christ three to four hours. They did that

1310
01:07:04,000 --> 01:07:08,040
Speaker 1: in a clockwork iarns. Did you see that movie? That

1311
01:07:08,240 --> 01:07:10,520
Speaker 1: was kind of the rehab they did to him in

1312
01:07:10,600 --> 01:07:13,520
Speaker 1: a clockwork arms. Listen to baby shop they made listening

1313
01:07:13,520 --> 01:07:16,040
Speaker 1: to Beethoven over and over and over again, so whenever

1314
01:07:16,120 --> 01:07:18,960
Speaker 1: he was um and well, you got to see it. Yeah,

1315
01:07:19,040 --> 01:07:22,240
Speaker 1: he ended up that and let it go the kids,

1316
01:07:22,680 --> 01:07:25,160
Speaker 1: let it go? Not no more? Oh my gosh, but

1317
01:07:25,440 --> 01:07:26,720
Speaker 1: let it go. Ain't one of them songs that you're

1318
01:07:26,760 --> 01:07:28,840
Speaker 1: gonna play over and over if our kids play it

1319
01:07:28,960 --> 01:07:31,240
Speaker 1: over and over and over. They got the little letter

1320
01:07:31,280 --> 01:07:33,960
Speaker 1: go karaoke pocketbook thing where they sing into it. Oh

1321
01:07:34,080 --> 01:07:36,240
Speaker 1: my gosh. I might have threw that out the window

1322
01:07:36,320 --> 01:07:41,240
Speaker 1: one day. Oh my god, let it go. Can't holding

1323
01:07:41,440 --> 01:07:44,560
Speaker 1: back anymore? Let it You don't sing that, dude, just

1324
01:07:44,640 --> 01:07:46,280
Speaker 1: doesn't sound right when you sing it. I do sing it.

1325
01:07:47,160 --> 01:07:51,080
Speaker 1: I have no choice. I know about heart, all right, Jesus,

1326
01:07:51,400 --> 01:07:53,080
Speaker 1: all right, where you wanna go from here. I have

1327
01:07:53,200 --> 01:07:58,920
Speaker 1: no idea. Whatever you do, just let it go. What okay?

1328
01:07:59,280 --> 01:08:02,320
Speaker 1: Everything coming out with my mother? Your mouth is hard?

1329
01:08:04,880 --> 01:08:08,520
Speaker 1: All right, that's the greatest line of ball. All right, Well,

1330
01:08:08,600 --> 01:08:10,680
Speaker 1: let's Monday. Let's land to the breakfast club. I hate

1331
01:08:10,720 --> 01:08:13,800
Speaker 1: you guys. Anything that comes out of my mouth is hard.

1332
01:08:13,960 --> 01:08:17,080
Speaker 1: Let it go. Eight hundred five five one on five one.

1333
01:08:17,160 --> 01:08:18,880
Speaker 1: Let's land to the breakfast club. All right, we haven't

1334
01:08:18,880 --> 01:08:21,400
Speaker 1: done this in a while. Open up the phone, huns right,

1335
01:08:22,240 --> 01:08:24,800
Speaker 1: something that you don't like about me? Ye, or Charlemagne?

1336
01:08:24,880 --> 01:08:28,280
Speaker 1: Eight hundred five eight five one on five. Why. The

1337
01:08:28,439 --> 01:08:31,200
Speaker 1: one hour loop of baby Shark on YouTube has been

1338
01:08:31,320 --> 01:08:34,519
Speaker 1: viewed over one hundred and twenty seven million times. Y'all

1339
01:08:34,560 --> 01:08:37,240
Speaker 1: just trying to keep your kids occupied. Put the kids

1340
01:08:37,280 --> 01:08:42,519
Speaker 1: in a little play pains me a little thirty minute? Now,

1341
01:08:42,600 --> 01:08:45,360
Speaker 1: just give me about thirty I've been there before, all right.

1342
01:08:45,400 --> 01:08:47,519
Speaker 1: Sland to the breakfast Club is next? Eight hundred five

1343
01:08:47,600 --> 01:08:49,400
Speaker 1: eight five one on five. One is the breakfast club?

1344
01:08:49,439 --> 01:08:56,920
Speaker 1: Good morning, the breakfast club, the breakfast club, humble slaming

1345
01:08:57,000 --> 01:09:06,120
Speaker 1: the breakfast class her dark? Hello? What's this? What's good?

1346
01:09:06,200 --> 01:09:08,559
Speaker 1: Breakfast club? My name is James I'm a mining Napolis.

1347
01:09:09,880 --> 01:09:12,519
Speaker 1: James talked to us. I gotta slant of y'all. Man,

1348
01:09:13,439 --> 01:09:17,360
Speaker 1: you and them Charlemagne the bed brother, Why are you

1349
01:09:17,400 --> 01:09:20,160
Speaker 1: slaying us? What grown man gives another grown man the

1350
01:09:20,240 --> 01:09:23,320
Speaker 1: more of? They asked for a president that's so old, bro,

1351
01:09:24,680 --> 01:09:26,360
Speaker 1: I don't get it. And then you're playing with him.

1352
01:09:28,160 --> 01:09:30,280
Speaker 1: Y'all got to come out that clothing. Man. I think you,

1353
01:09:30,439 --> 01:09:32,599
Speaker 1: I think you. I think you just upset because everything

1354
01:09:32,640 --> 01:09:35,120
Speaker 1: that comes out of my mouth is hard. That's what

1355
01:09:35,200 --> 01:09:37,080
Speaker 1: I think you upset about. You didn't do your job.

1356
01:09:37,520 --> 01:09:42,640
Speaker 1: Na brother, Nah brother, Nah brother, nah brother, don't let

1357
01:09:42,680 --> 01:09:47,080
Speaker 1: it out your mouth. Hello, who's this hard? Uncle Willie?

1358
01:09:47,439 --> 01:09:49,920
Speaker 1: Uncle Willy? What up? God? Brother? Slant the breakfast club?

1359
01:09:50,040 --> 01:09:54,320
Speaker 1: Go on, good morning, Good morning from the seven five seven, Virginia, VA.

1360
01:09:54,479 --> 01:09:58,680
Speaker 1: What's happening? What's going on? Yes, sir, nobody knows you

1361
01:09:58,760 --> 01:10:01,320
Speaker 1: are here. What are you talking of the real? What

1362
01:10:01,400 --> 01:10:04,120
Speaker 1: are you talking about? I know, I know. I'm trying

1363
01:10:04,120 --> 01:10:06,080
Speaker 1: to get myself known out in Hampton, Virginia, where I

1364
01:10:06,080 --> 01:10:07,840
Speaker 1: went to school for four and a half years, five years.

1365
01:10:07,880 --> 01:10:12,720
Speaker 1: I'm trying. Hello, who's this good morning? Slam at the

1366
01:10:12,760 --> 01:10:15,960
Speaker 1: breakfast club? Okay, Okay, So I want to talk about

1367
01:10:16,000 --> 01:10:22,479
Speaker 1: her ugly, how I don't like silent? I like, I

1368
01:10:22,840 --> 01:10:31,240
Speaker 1: want to say happy birthday, you like all love what's

1369
01:10:31,240 --> 01:10:37,639
Speaker 1: her name? What's her name? What's her name? Saniel? Happy

1370
01:10:37,720 --> 01:10:39,880
Speaker 1: born Daysonaya Samis. I'm sitting there like, I know this

1371
01:10:40,000 --> 01:10:41,920
Speaker 1: grown woman ain't calling up here with these whack ass

1372
01:10:42,040 --> 01:10:45,320
Speaker 1: third grade and so you ugly and you sanky. She's like, no,

1373
01:10:45,439 --> 01:10:47,080
Speaker 1: but I do gotta give a bathday shot. And then

1374
01:10:47,080 --> 01:10:52,439
Speaker 1: you forgot to say her name? No, I okay, Gay,

1375
01:10:52,600 --> 01:10:56,080
Speaker 1: you got it? Thank you, Mama. Hello, who's this yo? So?

1376
01:10:56,840 --> 01:10:58,679
Speaker 1: What's up? Man? I got slam at the breakfast club?

1377
01:10:59,120 --> 01:11:00,920
Speaker 1: Y'all want to slim the ends of the years? For

1378
01:11:01,000 --> 01:11:04,599
Speaker 1: that rumor for Kanye was that sound bite? Man? There

1379
01:11:04,680 --> 01:11:07,320
Speaker 1: was no positive SoundBite to that rumor report. And I

1380
01:11:07,479 --> 01:11:10,080
Speaker 1: was very inspired by that interview. I was kind of confused,

1381
01:11:10,439 --> 01:11:13,720
Speaker 1: you always played negative conbite. Well, we just played the

1382
01:11:13,880 --> 01:11:17,320
Speaker 1: responses from the celebrities and people that he was talking about.

1383
01:11:17,720 --> 01:11:20,679
Speaker 1: But he did say those things in the interview, correct, Yeah,

1384
01:11:20,760 --> 01:11:24,799
Speaker 1: But he also talks about stock ownership, I owning braids,

1385
01:11:25,040 --> 01:11:26,360
Speaker 1: like you know what I'm trying to say? Like I

1386
01:11:26,439 --> 01:11:30,840
Speaker 1: felt like y'all, y'all singles on the ebity gossip. You

1387
01:11:30,960 --> 01:11:34,920
Speaker 1: got a point. I mean, it is about guys. He's

1388
01:11:34,960 --> 01:11:36,800
Speaker 1: not wrong, though, but that's just the way the news is.

1389
01:11:36,920 --> 01:11:38,439
Speaker 1: Like you know, they all used to say back in

1390
01:11:38,520 --> 01:11:41,080
Speaker 1: the day, if it bleeds, it leads, and like you know,

1391
01:11:41,200 --> 01:11:44,800
Speaker 1: even with even with social media, the algorithms that you know,

1392
01:11:44,960 --> 01:11:47,400
Speaker 1: move the most or the negative one sadly, but I

1393
01:11:47,439 --> 01:11:52,200
Speaker 1: don't He's not wrong. You're not wrong. I got you.

1394
01:11:52,960 --> 01:11:55,560
Speaker 1: When I saw that interview, I was super inspired. But

1395
01:11:56,000 --> 01:11:57,840
Speaker 1: I feel y'all know what y'all saying. It's about the

1396
01:11:58,560 --> 01:12:00,360
Speaker 1: number of time. But the be but the bean the

1397
01:12:00,400 --> 01:12:03,880
Speaker 1: Beanie part wasn't wasn't um negative, Like you know, the

1398
01:12:03,960 --> 01:12:06,320
Speaker 1: fact that Beanie Seagull created the word jeezy and that

1399
01:12:06,439 --> 01:12:08,519
Speaker 1: he old Beanie some money. I don't think that was negative.

1400
01:12:09,000 --> 01:12:11,759
Speaker 1: That was definitely positive. I was definitely positive, But majority

1401
01:12:11,840 --> 01:12:15,000
Speaker 1: was negative though the John legend, the big Sean so

1402
01:12:15,240 --> 01:12:18,280
Speaker 1: about the celebrity guy for mainly, but the big Beanie

1403
01:12:18,320 --> 01:12:22,479
Speaker 1: one was definitely was definitely all good. But also too

1404
01:12:22,640 --> 01:12:25,320
Speaker 1: Kanye knows that if you get in the interview and

1405
01:12:25,439 --> 01:12:27,080
Speaker 1: you give a lot of those sound bites where you

1406
01:12:27,280 --> 01:12:29,679
Speaker 1: getting that Ti Leave quality. You're getting that Big Sean,

1407
01:12:29,800 --> 01:12:32,639
Speaker 1: You're getting that John legend. Whoever you getting that, that's

1408
01:12:32,640 --> 01:12:35,960
Speaker 1: gonna that's gonna eclipse all the positive stuff you may

1409
01:12:36,000 --> 01:12:38,599
Speaker 1: have said. We'll have a going man. Slander the Breakfast

1410
01:12:38,600 --> 01:12:40,800
Speaker 1: Club eight hundred five eight five one or five one

1411
01:12:40,880 --> 01:12:43,200
Speaker 1: slander the breakfast club caller, Snap, it's the breakfast clung

1412
01:12:43,240 --> 01:12:46,960
Speaker 1: goal morning the breakfast club humble was slanting the Breakfast

1413
01:12:47,000 --> 01:12:59,040
Speaker 1: Club down her dark? Hello? Who's this man? You need

1414
01:12:59,080 --> 01:13:04,760
Speaker 1: to give out the sources? Struggling man, do some this

1415
01:13:04,880 --> 01:13:08,280
Speaker 1: tattoo they tell us to do, you know, hold extras

1416
01:13:08,280 --> 01:13:11,080
Speaker 1: that want used? Podcast? Man? But if this ain't working,

1417
01:13:11,880 --> 01:13:17,439
Speaker 1: no know what I mean? I don't know what you well?

1418
01:13:17,439 --> 01:13:19,040
Speaker 1: You mean? Why why do you think it's a secret.

1419
01:13:19,080 --> 01:13:20,920
Speaker 1: Just go to the paint stall, get you some black

1420
01:13:21,000 --> 01:13:23,360
Speaker 1: paint and a brush and dip it in the can

1421
01:13:23,520 --> 01:13:26,800
Speaker 1: and just slap it all over your face. Why do

1422
01:13:26,840 --> 01:13:29,720
Speaker 1: you lie to that? Man? Hello? Who's this? Hi? This

1423
01:13:29,880 --> 01:13:33,040
Speaker 1: is Cadia calling from Detroit. What's first? What I'm dope?

1424
01:13:34,240 --> 01:13:38,320
Speaker 1: Breakfast Club? I gotta go for Charlotte. Man, Charlotte, I

1425
01:13:38,439 --> 01:13:41,800
Speaker 1: love you, you know, like you have a gentle place

1426
01:13:41,840 --> 01:13:44,640
Speaker 1: in my heart. Because you're just as real estate. Come,

1427
01:13:44,720 --> 01:13:46,920
Speaker 1: but I need you to get your eyebrowts together, sir.

1428
01:13:47,960 --> 01:13:54,200
Speaker 1: Everybody wax. Everybody says I got amazing. Trust they real

1429
01:13:54,920 --> 01:13:58,080
Speaker 1: day day day probably, so it's flaky. So just come

1430
01:13:58,160 --> 01:14:02,160
Speaker 1: to Detroit and we're gonna get you to you'm micro blading.

1431
01:14:02,280 --> 01:14:04,200
Speaker 1: He did micro blade them before. I've never done that.

1432
01:14:04,280 --> 01:14:06,000
Speaker 1: What am I? What am I supposed to do with him? Though?

1433
01:14:06,680 --> 01:14:10,600
Speaker 1: I mean like like I got thick, I got thick eyebrows,

1434
01:14:10,720 --> 01:14:14,599
Speaker 1: so I love a thick eyebrows. Pasages just too much,

1435
01:14:14,720 --> 01:14:17,439
Speaker 1: it's too much. I'm not touching. You got your eyebrows

1436
01:14:17,479 --> 01:14:22,720
Speaker 1: done before. Bro, I'm not touching. I've never I've no,

1437
01:14:22,840 --> 01:14:27,200
Speaker 1: I have not got them done in my adult life. Together,

1438
01:14:27,320 --> 01:14:29,840
Speaker 1: It's okay, we love you. Yeah. When I when I

1439
01:14:29,960 --> 01:14:32,160
Speaker 1: was a kid, some women gasped me up to get

1440
01:14:32,200 --> 01:14:34,080
Speaker 1: my eyebrows arts because it was like Tupac got his

1441
01:14:34,120 --> 01:14:37,360
Speaker 1: eyebrows arch and so I got myney Yeah, let up

1442
01:14:37,360 --> 01:14:39,720
Speaker 1: in the mound and they did them thin too, like

1443
01:14:39,800 --> 01:14:42,800
Speaker 1: I had to thin. Look at looking crazy as hell?

1444
01:14:43,640 --> 01:14:47,280
Speaker 1: I don't. You're definitely at the eyebrows. Hello, who's this? Hi?

1445
01:14:47,600 --> 01:14:52,040
Speaker 1: This westpter Her, Hey, good morning, slander the breakfast club.

1446
01:14:52,640 --> 01:14:55,439
Speaker 1: I want to plan that. Arewe not really slanned to her?

1447
01:14:55,479 --> 01:14:57,599
Speaker 1: But I just wanted to let her know, like, um,

1448
01:14:58,360 --> 01:15:01,519
Speaker 1: I I'm comfort what we're talking about sex, and I

1449
01:15:01,600 --> 01:15:03,720
Speaker 1: would love to come on her show because there's so

1450
01:15:03,960 --> 01:15:06,240
Speaker 1: much more in rest of sub sex that she can

1451
01:15:06,280 --> 01:15:08,880
Speaker 1: talk about on her show. What do you want to

1452
01:15:08,920 --> 01:15:14,240
Speaker 1: talk about the LGBTQ community, the lifestyle community. I even

1453
01:15:14,360 --> 01:15:16,479
Speaker 1: DMed you like some of the videos that I've done

1454
01:15:16,800 --> 01:15:19,000
Speaker 1: on another show to tell you that I would love

1455
01:15:19,080 --> 01:15:22,040
Speaker 1: to come on and give you my perspective about the

1456
01:15:22,120 --> 01:15:26,120
Speaker 1: whole lifestyle community and whatnot. Okay, that's the plan. You know,

1457
01:15:26,160 --> 01:15:28,479
Speaker 1: we welcome everybody on the show to talk about whatever

1458
01:15:28,640 --> 01:15:31,160
Speaker 1: when it comes to sex. Okay, I'm very excited. I

1459
01:15:31,200 --> 01:15:32,720
Speaker 1: would love to come on. I think I would be

1460
01:15:32,800 --> 01:15:35,800
Speaker 1: a great I just said the personality and everything and

1461
01:15:36,000 --> 01:15:39,320
Speaker 1: just to enlighten people about a lot more. Anyway, Okay,

1462
01:15:39,680 --> 01:15:41,880
Speaker 1: hold on, Okay, let's get your number. Hello. Who's this?

1463
01:15:42,520 --> 01:15:46,760
Speaker 1: This is Camille? Missus Cookovids damn missus Keka. Why are

1464
01:15:46,760 --> 01:15:50,160
Speaker 1: you upset? I am upset because Sean Mary, they messed

1465
01:15:50,240 --> 01:15:52,719
Speaker 1: up my whole thought. This morning. I woke up listening

1466
01:15:52,800 --> 01:15:55,599
Speaker 1: to Erica Badu and here he got one to play,

1467
01:15:55,680 --> 01:16:00,200
Speaker 1: Baby Shark, listen to that? And though I know, but

1468
01:16:00,240 --> 01:16:02,799
Speaker 1: I was trying to prove a point because these officers

1469
01:16:02,800 --> 01:16:05,760
Speaker 1: in Oklahoma were torturing the inmates by playing that song

1470
01:16:05,920 --> 01:16:07,560
Speaker 1: over and over. That's all he said. You want to

1471
01:16:07,600 --> 01:16:09,240
Speaker 1: hear it again? You ain't have to play in sorrow.

1472
01:16:09,439 --> 01:16:11,479
Speaker 1: You did not have to play. You want to hear

1473
01:16:11,479 --> 01:16:13,599
Speaker 1: it again? Hey, what boy do record? Week? What boy

1474
01:16:13,680 --> 01:16:15,320
Speaker 1: do record? Did you listen to this morning? I can

1475
01:16:15,360 --> 01:16:16,960
Speaker 1: tell you the one I do. I used to set

1476
01:16:17,000 --> 01:16:19,880
Speaker 1: my attention, But what's yours? I listened to? Didn't you know?

1477
01:16:20,320 --> 01:16:22,400
Speaker 1: Every morning? I love that too? You know what else

1478
01:16:22,439 --> 01:16:27,439
Speaker 1: I love? I love the Healer off the New America. Okay, baby,

1479
01:16:27,520 --> 01:16:29,559
Speaker 1: now you better go now if I let that baby

1480
01:16:29,560 --> 01:16:32,519
Speaker 1: shot rip, let it rip red, go play. Oh my god,

1481
01:16:32,760 --> 01:16:36,439
Speaker 1: you do the mo slammed to the Breakfast Club eight

1482
01:16:36,520 --> 01:16:38,479
Speaker 1: hundred five eighty five one five four. Now we got

1483
01:16:38,560 --> 01:16:41,000
Speaker 1: rumors on the way, Yes, and let's talk a daytime

1484
01:16:41,120 --> 01:16:43,880
Speaker 1: TV who was taking over this week for Wendy Williams

1485
01:16:43,880 --> 01:16:45,639
Speaker 1: and Wenna talk about somebody else who has a show

1486
01:16:45,720 --> 01:16:48,680
Speaker 1: in the works allegedly. All right, we'll get into that. Next,

1487
01:16:48,720 --> 01:16:57,160
Speaker 1: it's the Breakfast Club. Good morning, it's about this is

1488
01:16:57,200 --> 01:17:03,599
Speaker 1: the rumor report. Angela Gees on the Breakfast Club. All right, Well,

1489
01:17:03,680 --> 01:17:06,639
Speaker 1: Wendy Williams is still on hiatus. According to a statement,

1490
01:17:06,680 --> 01:17:09,120
Speaker 1: it is because of her Graves disease in her thyroid condition,

1491
01:17:09,720 --> 01:17:12,000
Speaker 1: and so she does need some more time before she

1492
01:17:12,200 --> 01:17:16,120
Speaker 1: can return. In the meantime, Michael Rappaport is going to

1493
01:17:16,240 --> 01:17:18,160
Speaker 1: be serving as a guest host for part of the

1494
01:17:18,240 --> 01:17:20,720
Speaker 1: week this week, and then Bill Bellamy will be taking over.

1495
01:17:21,560 --> 01:17:24,479
Speaker 1: So I saw some people were going in and saying

1496
01:17:24,520 --> 01:17:27,559
Speaker 1: they want Sherry Shepherd back and they really enjoyed her.

1497
01:17:27,640 --> 01:17:30,000
Speaker 1: So I saw people on Instagram, we want Sherry hosting

1498
01:17:30,080 --> 01:17:33,040
Speaker 1: until Wendy's return. Bring back Sherry, We want Sherry, Wendy.

1499
01:17:33,120 --> 01:17:36,559
Speaker 1: Producers do better, so on and so forth. But again,

1500
01:17:36,640 --> 01:17:40,679
Speaker 1: Michael Rappaport starts today. Cherry's always good dude. Sharry hosted

1501
01:17:40,680 --> 01:17:43,280
Speaker 1: it before I think the first time when she went

1502
01:17:43,320 --> 01:17:46,800
Speaker 1: on hiatus. Y Rys dope. So people love seeing her

1503
01:17:46,840 --> 01:17:49,679
Speaker 1: on there. Who knows that daytime experience from the viewer.

1504
01:17:50,320 --> 01:17:53,320
Speaker 1: And Jennifer Hudson is in talks to get a syndicated

1505
01:17:53,400 --> 01:17:55,800
Speaker 1: daytime talk show and they're saying this could premiere in

1506
01:17:55,880 --> 01:17:59,519
Speaker 1: the fall of twenty twenty two, so that could be exciting.

1507
01:17:59,720 --> 01:18:02,040
Speaker 1: And the Ellen Degenerous show is rapping at the end

1508
01:18:02,080 --> 01:18:04,639
Speaker 1: of its current season and we're looking for new things,

1509
01:18:05,439 --> 01:18:10,599
Speaker 1: So potentially Jennifer Hudson could be coming into the mix

1510
01:18:11,320 --> 01:18:14,719
Speaker 1: and seeing her syndicated. All right, And speaking of TV,

1511
01:18:15,000 --> 01:18:17,360
Speaker 1: master P has a series coming that's going to be

1512
01:18:17,439 --> 01:18:20,320
Speaker 1: showcasing his life that is in the works right now.

1513
01:18:20,760 --> 01:18:23,479
Speaker 1: According to the release, the story of master P is

1514
01:18:23,479 --> 01:18:26,000
Speaker 1: not the typical rack to riches rapper story. Percy Robert

1515
01:18:26,080 --> 01:18:28,480
Speaker 1: Miller was not a dealer or an addict or a gangbanger.

1516
01:18:28,720 --> 01:18:31,360
Speaker 1: What Percy learned from the streets was the hustle, making

1517
01:18:31,439 --> 01:18:34,280
Speaker 1: him an uber savvy entrepreneur with an empire worth eight

1518
01:18:34,439 --> 01:18:38,080
Speaker 1: hundred million dollars. This series follows Percy as he pursues

1519
01:18:38,120 --> 01:18:40,840
Speaker 1: a pro basketball career to escape the hood, to blowing

1520
01:18:40,880 --> 01:18:43,240
Speaker 1: out his knee and reinventing himself, founding No Limit, and

1521
01:18:43,280 --> 01:18:45,320
Speaker 1: becoming Master P, one of the biggest hip hop artists

1522
01:18:45,320 --> 01:18:48,840
Speaker 1: of all time. So I think that's an interesting show

1523
01:18:48,920 --> 01:18:52,599
Speaker 1: to watch. MASTERP a series on his life. I'm here

1524
01:18:52,640 --> 01:18:55,680
Speaker 1: for it, all right. And Will Smith is detailing the

1525
01:18:55,720 --> 01:18:58,599
Speaker 1: biggest regret that he had while raising his son, Jaden.

1526
01:18:58,680 --> 01:19:01,160
Speaker 1: You know, his book is coming out tomorrow, and so

1527
01:19:01,320 --> 01:19:05,000
Speaker 1: he talks about his film After Earth, so it details

1528
01:19:05,080 --> 01:19:07,720
Speaker 1: his co starring experience with Jaden Smith. Jaden was only

1529
01:19:07,800 --> 01:19:09,880
Speaker 1: fifteen years old. He had also started the remake of

1530
01:19:10,000 --> 01:19:13,200
Speaker 1: Karate Kid, which was a success and the pursuit of happiness.

1531
01:19:13,680 --> 01:19:16,439
Speaker 1: But the budget for After Earth was one hundred and

1532
01:19:16,520 --> 01:19:19,120
Speaker 1: thirty million dollars. The film only made twenty seven million

1533
01:19:19,200 --> 01:19:22,599
Speaker 1: dollars during the opening weekend, and according to will Smith,

1534
01:19:22,680 --> 01:19:25,160
Speaker 1: the critiques of fans and the press was vicious and

1535
01:19:25,240 --> 01:19:27,599
Speaker 1: there was a public malling of his son and his book.

1536
01:19:27,640 --> 01:19:30,280
Speaker 1: He wrote, After Earth was an abysmal box office and

1537
01:19:30,400 --> 01:19:33,240
Speaker 1: critical failure. And what was worse was that Jaden took

1538
01:19:33,280 --> 01:19:36,559
Speaker 1: the hit. Fans and the press were absolutely vicious. They

1539
01:19:36,640 --> 01:19:39,519
Speaker 1: said and printed things about Jaden that I refused to repeat.

1540
01:19:39,880 --> 01:19:42,400
Speaker 1: Jaden had faithfully done everything that I'd instructed him to do,

1541
01:19:42,479 --> 01:19:44,599
Speaker 1: and I had coached him into the worst public malling

1542
01:19:44,640 --> 01:19:47,080
Speaker 1: he'd ever experienced. Then he found out that his son

1543
01:19:47,160 --> 01:19:50,599
Speaker 1: wanted to be emancipated. At fifteen, Jaden had felt betrayed.

1544
01:19:50,880 --> 01:19:54,000
Speaker 1: He lost trust and his dad. He said that the pain,

1545
01:19:54,160 --> 01:19:55,840
Speaker 1: he said, we never discussed it, but I know he

1546
01:19:55,920 --> 01:19:58,400
Speaker 1: felt betrayed, he felt misled, He lost his trust in

1547
01:19:58,439 --> 01:20:01,320
Speaker 1: my leadership. At fifteen years old, when Jaden asked about

1548
01:20:01,360 --> 01:20:04,120
Speaker 1: being an emancipated mind, and my heart shattered. He ultimately

1549
01:20:04,160 --> 01:20:06,720
Speaker 1: decided against it. But it sucks to feel like you've

1550
01:20:06,800 --> 01:20:08,920
Speaker 1: hurt your kids. Number One, I can't wait to read

1551
01:20:08,960 --> 01:20:12,320
Speaker 1: Will's book. I'm actually pausing on reading anything until that

1552
01:20:12,360 --> 01:20:14,000
Speaker 1: book comes. I ordered it last week. It should be

1553
01:20:14,040 --> 01:20:16,479
Speaker 1: here today. But secondly, I wonder how Jaden feels about

1554
01:20:16,479 --> 01:20:18,920
Speaker 1: that now, because failure is just a part of life.

1555
01:20:19,240 --> 01:20:21,000
Speaker 1: I know what I mean. I don't even remember that more.

1556
01:20:21,040 --> 01:20:23,400
Speaker 1: I remember after. But I'm just saying, like, like, failure

1557
01:20:23,479 --> 01:20:24,680
Speaker 1: is just a part of life. You're going to throw

1558
01:20:24,720 --> 01:20:26,760
Speaker 1: some things against the wall sometimes and they knock on stick.

1559
01:20:26,800 --> 01:20:28,760
Speaker 1: So I wonder if now that he's older, as he

1560
01:20:28,880 --> 01:20:30,920
Speaker 1: understand that. I'm sure he understands that now. But at

1561
01:20:30,960 --> 01:20:34,640
Speaker 1: that age fifteen and then everything else had been successful.

1562
01:20:34,760 --> 01:20:36,880
Speaker 1: You're not used to that, you know, so I'm sure

1563
01:20:36,920 --> 01:20:41,320
Speaker 1: it wasn't easy. All right, Now, let's talk about Lakeith Stanfield.

1564
01:20:41,320 --> 01:20:43,600
Speaker 1: He said he has anxiety stemming from the harder they

1565
01:20:43,720 --> 01:20:46,680
Speaker 1: fallen from filming that he posted on Instagram that he

1566
01:20:46,760 --> 01:20:49,639
Speaker 1: had crippling anxiety and drank every night after work while

1567
01:20:49,720 --> 01:20:52,920
Speaker 1: filming for that, and so he had spoken in the

1568
01:20:53,000 --> 01:20:57,680
Speaker 1: past about having difficulties with his roles and dealing with anxiety.

1569
01:20:57,960 --> 01:21:01,000
Speaker 1: So have y'all seen the Heart of Their Fall yet?

1570
01:21:01,040 --> 01:21:03,800
Speaker 1: It's really really good. I watched it twice already, watch

1571
01:21:03,960 --> 01:21:06,840
Speaker 1: this week too. I'm not gonna lie. It's an amazing movie.

1572
01:21:06,960 --> 01:21:10,360
Speaker 1: So I highly suggest everybody watch that. I'm sending Laki

1573
01:21:10,439 --> 01:21:14,280
Speaker 1: Stanfield healing energy too. He hope. Well. I saw him

1574
01:21:14,320 --> 01:21:16,519
Speaker 1: say he's talking to a therapist. So all right, now,

1575
01:21:16,600 --> 01:21:20,280
Speaker 1: Howard University dean and former actress Felicia Rashade people were

1576
01:21:20,400 --> 01:21:24,200
Speaker 1: upset about this video that had surface. Now they're interviewing

1577
01:21:24,240 --> 01:21:26,200
Speaker 1: both Felicia Rashad, who is the dean of the College

1578
01:21:26,240 --> 01:21:29,240
Speaker 1: of Fine Arts, and her sister, Debbie Allen, and they're

1579
01:21:29,560 --> 01:21:31,679
Speaker 1: Debbie Allen, by the way, is a former Howard graduate,

1580
01:21:31,960 --> 01:21:35,760
Speaker 1: and they're talking about the students basically protesting because they

1581
01:21:35,840 --> 01:21:40,600
Speaker 1: want better housing, clean a cleaner environment. And here is

1582
01:21:40,800 --> 01:21:44,240
Speaker 1: what was said. We know what the Howard student body

1583
01:21:44,320 --> 01:21:48,479
Speaker 1: means in any country, when the students don't speak out

1584
01:21:48,600 --> 01:21:51,840
Speaker 1: for the nation is not doing well. When when of

1585
01:21:51,840 --> 01:21:54,840
Speaker 1: the students do speak out and the concerns have been

1586
01:21:54,880 --> 01:21:58,559
Speaker 1: addressed and it's still amount enough, what about that? Oh well,

1587
01:21:58,600 --> 01:22:01,040
Speaker 1: that's a whole love thing. What school in right now?

1588
01:22:01,280 --> 01:22:05,879
Speaker 1: So are there is being addressed? Okay, let's come inside.

1589
01:22:06,439 --> 01:22:11,400
Speaker 1: If you lost questions, why will you be telling them now?

1590
01:22:11,479 --> 01:22:13,920
Speaker 1: She said, the concerns were addressed. Yes, she's saying that

1591
01:22:14,120 --> 01:22:16,479
Speaker 1: is what happened. That's a Felicia Rashad said, And then

1592
01:22:16,600 --> 01:22:18,479
Speaker 1: she tells the reporter. When the reporter asked, so the

1593
01:22:18,520 --> 01:22:20,400
Speaker 1: concerns of being addressed, she said, I wouldn't get into

1594
01:22:20,439 --> 01:22:23,360
Speaker 1: that if I were you. So people were upset and

1595
01:22:23,439 --> 01:22:26,560
Speaker 1: they said that it was disappointing that she's not on

1596
01:22:26,960 --> 01:22:29,439
Speaker 1: the side of the kids being able to express themselves

1597
01:22:29,479 --> 01:22:32,320
Speaker 1: and get some answers. And why there's mold, why there's

1598
01:22:32,439 --> 01:22:36,719
Speaker 1: rodents scurrying around about the leakages and conditions in the dorms,

1599
01:22:36,760 --> 01:22:39,200
Speaker 1: I'm initial understanding because they were they were former students,

1600
01:22:39,320 --> 01:22:40,920
Speaker 1: so they wouldn't have want to live in those conditions.

1601
01:22:41,040 --> 01:22:42,960
Speaker 1: And she's the dean there. You know, you got to

1602
01:22:43,000 --> 01:22:46,559
Speaker 1: represent for the students too. They're the ones everybody works for, right,

1603
01:22:47,200 --> 01:22:49,600
Speaker 1: They're the ones paying the tuition. All right, well that

1604
01:22:49,840 --> 01:22:53,400
Speaker 1: is your rumor report. All right. We invited him or

1605
01:22:53,760 --> 01:22:56,040
Speaker 1: the president of Howard up. I haven't heard anything back,

1606
01:22:56,080 --> 01:22:58,040
Speaker 1: but I'd love to have him and the students up

1607
01:22:58,080 --> 01:22:59,840
Speaker 1: here to talk about it. Hopefully we can get too

1608
01:23:00,160 --> 01:23:02,240
Speaker 1: kind of resolution. Has he spoken to the students yet?

1609
01:23:02,560 --> 01:23:04,600
Speaker 1: I don't think so. I don't think so. I know

1610
01:23:04,680 --> 01:23:07,680
Speaker 1: when when Hampton was going through that, you know, the

1611
01:23:07,920 --> 01:23:09,640
Speaker 1: president at the time, I spoke to him and we

1612
01:23:09,680 --> 01:23:11,840
Speaker 1: tried to get the students in between, and they got

1613
01:23:11,920 --> 01:23:14,559
Speaker 1: things right. So all right, well shout to a vote.

1614
01:23:14,560 --> 01:23:16,880
Speaker 1: We'll see tomorrow. Everybody else to people's choice mixes up. Next,

1615
01:23:17,000 --> 01:23:20,439
Speaker 1: let's go the breakfast club. Your morning's will never be

1616
01:23:20,640 --> 01:23:24,160
Speaker 1: the same. What a Brother Pictures presents King Richard, based

1617
01:23:24,200 --> 01:23:26,519
Speaker 1: on a true story that will inspire the world. Watch

1618
01:23:26,600 --> 01:23:29,080
Speaker 1: Will Smith's portrayal of Richie Williams, father of two of

1619
01:23:29,120 --> 01:23:31,920
Speaker 1: the greatest sports legends, Venus Serena and a Plan for

1620
01:23:32,000 --> 01:23:36,799
Speaker 1: Greatness in theaters and on HBO Max King Richard, November nineteenth, rated, pg. Thirteen.

1621
01:23:39,840 --> 01:23:43,920
Speaker 1: Everybody is DJ Envy Angela Yee, Charlemagne the guy. We

1622
01:23:44,000 --> 01:23:46,040
Speaker 1: are the Breakfast Club. We got some special guests joining

1623
01:23:46,120 --> 01:23:49,400
Speaker 1: us this morning. We have Jody Lewis and attorney Darryl K. Washington.

1624
01:23:49,439 --> 01:23:53,960
Speaker 1: Good Morning More. Now, this case in particular was horrifying

1625
01:23:54,120 --> 01:23:56,560
Speaker 1: to hear as a woman, I would love for you

1626
01:23:56,800 --> 01:23:59,760
Speaker 1: to just break down what happened with me and Marcano.

1627
01:24:00,000 --> 01:24:02,000
Speaker 1: We discussed this on the Breakfast Club, and now we

1628
01:24:02,080 --> 01:24:04,439
Speaker 1: want to get some of the particulars from you as

1629
01:24:04,520 --> 01:24:08,800
Speaker 1: working for the family, as the publicist, and as the attorney. Well,

1630
01:24:08,800 --> 01:24:10,840
Speaker 1: I can tell you this has probably been one of

1631
01:24:10,920 --> 01:24:14,439
Speaker 1: the most horrifying stories in cases that I've had to

1632
01:24:14,560 --> 01:24:18,759
Speaker 1: deal with. To receive a telephone call from the family,

1633
01:24:19,320 --> 01:24:22,200
Speaker 1: especially the mother and father telling me that they're searching

1634
01:24:22,280 --> 01:24:26,879
Speaker 1: for their daughter and not getting any type of feedback

1635
01:24:26,960 --> 01:24:29,800
Speaker 1: from the law enforcement officials. You know, when you look

1636
01:24:29,840 --> 01:24:33,760
Speaker 1: at this case, this is just what you call the

1637
01:24:34,320 --> 01:24:39,519
Speaker 1: perfect storm. The family had all the information that would

1638
01:24:39,520 --> 01:24:42,600
Speaker 1: have given the law enforcement of the agencies the information

1639
01:24:42,800 --> 01:24:45,639
Speaker 1: needed in order to arrest the suspect, but they were

1640
01:24:45,680 --> 01:24:49,479
Speaker 1: just totally ignored. Just to see the mother and father

1641
01:24:49,600 --> 01:24:52,599
Speaker 1: come face to face with the suspect, the person who

1642
01:24:52,720 --> 01:24:56,479
Speaker 1: took their daughter's life. Was probably one of the most hardest,

1643
01:24:56,720 --> 01:24:59,480
Speaker 1: one of the hardest things I've ever had to experience.

1644
01:25:00,160 --> 01:25:02,479
Speaker 1: But the one thing that really sticks out with me

1645
01:25:03,360 --> 01:25:06,599
Speaker 1: is the sheriff deputy told the witnesses when they were

1646
01:25:06,680 --> 01:25:10,000
Speaker 1: explaining to him who who was to suspect in this case.

1647
01:25:10,120 --> 01:25:13,960
Speaker 1: Eight the sheriff deputy said that this case was not

1648
01:25:14,080 --> 01:25:17,920
Speaker 1: a high priority and as you know, every second matters

1649
01:25:18,000 --> 01:25:21,880
Speaker 1: with this case. With these type of cases, Mia was

1650
01:25:21,960 --> 01:25:26,760
Speaker 1: found seven to eight days later, and the question still remains,

1651
01:25:27,320 --> 01:25:31,160
Speaker 1: when was Mia killed, how was she killed, and when

1652
01:25:31,360 --> 01:25:34,280
Speaker 1: was she actually killed. So we're still trying to get

1653
01:25:34,280 --> 01:25:37,160
Speaker 1: answers to these questions. We have not gotten the cause

1654
01:25:37,240 --> 01:25:39,880
Speaker 1: of death, we have not gotten the time of death.

1655
01:25:40,080 --> 01:25:42,240
Speaker 1: They're still trying to get this to the family. So

1656
01:25:42,360 --> 01:25:44,439
Speaker 1: as you can imagine, the family is still dealing with

1657
01:25:44,520 --> 01:25:47,560
Speaker 1: the trauma of all of this. So she lived in

1658
01:25:47,640 --> 01:25:50,719
Speaker 1: this apartment complex right just to start from the beginning,

1659
01:25:51,439 --> 01:25:56,240
Speaker 1: and she worked in the apartment complex as well, she did, right, yes,

1660
01:25:56,360 --> 01:26:00,320
Speaker 1: and this is how she met this guy. So, as

1661
01:26:00,360 --> 01:26:04,040
Speaker 1: you know, being a co employee with someone, everybody changed

1662
01:26:04,120 --> 01:26:07,560
Speaker 1: phone numbers just to be friendly with each other. But

1663
01:26:07,720 --> 01:26:12,559
Speaker 1: this guy was sort of obsessed with Mia. I mean,

1664
01:26:12,600 --> 01:26:15,240
Speaker 1: he started with the long text messages telling her how

1665
01:26:15,320 --> 01:26:19,160
Speaker 1: he wanted to date her, offering her money, and these

1666
01:26:19,240 --> 01:26:22,439
Speaker 1: were things that she just totally rejected. She had no

1667
01:26:22,600 --> 01:26:25,679
Speaker 1: interest in this guy at all. She told her friends,

1668
01:26:25,760 --> 01:26:29,360
Speaker 1: she told her families as well as her employer. But

1669
01:26:29,600 --> 01:26:33,759
Speaker 1: but sadly, the employer did not do anything to protect

1670
01:26:33,840 --> 01:26:36,599
Speaker 1: me in this type of situation. And he also had

1671
01:26:36,680 --> 01:26:40,840
Speaker 1: access to her apartment. Correct, That's correct, And that is

1672
01:26:40,880 --> 01:26:44,000
Speaker 1: the thing that should have never happened. When you just

1673
01:26:44,240 --> 01:26:47,040
Speaker 1: do a general search as this guy background, you see

1674
01:26:47,080 --> 01:26:51,519
Speaker 1: so many hits that come up. This guy had full

1675
01:26:51,680 --> 01:26:55,000
Speaker 1: possession of the master keep off that allowed him unfeathered

1676
01:26:55,040 --> 01:26:59,240
Speaker 1: access not only in Miya's apartment, but all the tenants apartments.

1677
01:26:59,520 --> 01:27:01,519
Speaker 1: And to tell you a little bit about the art

1678
01:27:01,600 --> 01:27:06,120
Speaker 1: and villas, this apartment complex is about five minutes away

1679
01:27:06,160 --> 01:27:09,439
Speaker 1: from the University of Central Florida, So the majority of

1680
01:27:09,640 --> 01:27:13,400
Speaker 1: the tenants at that apartment complex or college students, so

1681
01:27:14,320 --> 01:27:18,759
Speaker 1: it was it becomes the perfect background for a predator

1682
01:27:19,520 --> 01:27:24,839
Speaker 1: like Amando who took MIA's life. Yeah, I mean, honestly,

1683
01:27:24,920 --> 01:27:26,680
Speaker 1: this was just horrifying for us to hear. And I

1684
01:27:26,760 --> 01:27:30,320
Speaker 1: saw that me as roommate also spoke out and had

1685
01:27:30,360 --> 01:27:34,439
Speaker 1: her own account of what the relationship was. Yes, me

1686
01:27:34,600 --> 01:27:38,040
Speaker 1: as a roommate, and I tell you she really gave

1687
01:27:38,160 --> 01:27:41,320
Speaker 1: the family an idea of exactly what happened. If you

1688
01:27:41,439 --> 01:27:44,400
Speaker 1: look at the press release that was released by the

1689
01:27:44,479 --> 01:27:47,400
Speaker 1: Orange County sheriffs Office as well as the press confidence

1690
01:27:47,479 --> 01:27:51,120
Speaker 1: that Sheriff Mina gave, he clearly came out in defense

1691
01:27:51,200 --> 01:27:53,880
Speaker 1: of his sheriff's deputy. He stated on the number of

1692
01:27:53,920 --> 01:27:56,680
Speaker 1: occasions that the sheriff's deputy didn't see anything at that

1693
01:27:56,800 --> 01:27:59,720
Speaker 1: apartment that would allayed him to believe that that was

1694
01:28:00,040 --> 01:28:03,439
Speaker 1: apartment was a crime scene, and that totally conflict that

1695
01:28:03,560 --> 01:28:06,759
Speaker 1: what the witnesses gave the sheriff deputy on the morning

1696
01:28:06,920 --> 01:28:10,559
Speaker 1: that they were talking to him. Number One, the first

1697
01:28:10,600 --> 01:28:12,519
Speaker 1: thing that should have been a sign that there was

1698
01:28:12,600 --> 01:28:15,320
Speaker 1: a major problem. There was a dresser that was a

1699
01:28:15,439 --> 01:28:18,800
Speaker 1: propped against the door that did not allow anyone to

1700
01:28:19,120 --> 01:28:23,200
Speaker 1: enter into a miss room. That alone should have told

1701
01:28:23,280 --> 01:28:26,240
Speaker 1: the sheriff's deputy, coupled with the complaints that he was

1702
01:28:26,320 --> 01:28:29,719
Speaker 1: getting from the family, that we need to get people

1703
01:28:29,760 --> 01:28:33,400
Speaker 1: out here immediately to investigate what it's gone on. This

1704
01:28:33,520 --> 01:28:37,880
Speaker 1: sheriff's deputy was very cavalier with the entire situation. He

1705
01:28:37,960 --> 01:28:42,360
Speaker 1: didn't dust the windows for fingerprints, he didn't collect any evidence.

1706
01:28:42,920 --> 01:28:45,479
Speaker 1: There was a security guard that was out there that

1707
01:28:45,640 --> 01:28:48,920
Speaker 1: told the sheriff deputy that listen, you need to dust

1708
01:28:48,960 --> 01:28:52,200
Speaker 1: this window to see if there are fingerprints. He didn't

1709
01:28:52,240 --> 01:28:55,760
Speaker 1: do this. But here Angelus one of the worst situations

1710
01:28:55,840 --> 01:28:59,320
Speaker 1: that could have possibly happened. I remember, this guy had

1711
01:28:59,400 --> 01:29:03,000
Speaker 1: the key fa to getting MIA's apartments. All the all

1712
01:29:03,080 --> 01:29:05,599
Speaker 1: the manager had to do was come to the apartment

1713
01:29:05,680 --> 01:29:10,120
Speaker 1: complex when she was contacted, used the technology that they

1714
01:29:10,200 --> 01:29:12,760
Speaker 1: had from this key fall, and they could have told

1715
01:29:12,800 --> 01:29:17,000
Speaker 1: the shaff's deputy immediately who went into this apartment. This

1716
01:29:17,600 --> 01:29:21,160
Speaker 1: manager failed to come out to the apartment to assist

1717
01:29:21,920 --> 01:29:25,479
Speaker 1: with the search for Mia, and sadly, today no one

1718
01:29:25,680 --> 01:29:28,559
Speaker 1: from that apartment complex have reached out to the family

1719
01:29:28,680 --> 01:29:32,360
Speaker 1: to offer their condolences. So it just shows you that

1720
01:29:32,840 --> 01:29:38,760
Speaker 1: we're dealing with an apartment complex that places profits over safety. Now,

1721
01:29:38,800 --> 01:29:42,040
Speaker 1: when we talk about Armando Caballero, right, he's the man

1722
01:29:42,160 --> 01:29:47,840
Speaker 1: who killed Mia and then killed himself. So he did

1723
01:29:47,920 --> 01:29:52,200
Speaker 1: have a background record. He did not only did he

1724
01:29:52,280 --> 01:29:54,479
Speaker 1: have a criminal background, record, but he had a history

1725
01:29:54,520 --> 01:29:58,719
Speaker 1: at other apartment complexes. We've received so many telephone calls

1726
01:29:58,760 --> 01:30:02,120
Speaker 1: about this this guy. The last apartment that he was

1727
01:30:02,200 --> 01:30:04,479
Speaker 1: working at prior to going to the Art and Villas,

1728
01:30:04,920 --> 01:30:07,320
Speaker 1: this guy had actually taken await and thrown into the

1729
01:30:07,439 --> 01:30:09,760
Speaker 1: door of a young lady's apartment trying to get in

1730
01:30:11,120 --> 01:30:14,479
Speaker 1: He's actually he was actually in someone's apartment when the

1731
01:30:14,560 --> 01:30:18,240
Speaker 1: lady got out of the shower and he was there

1732
01:30:18,280 --> 01:30:22,599
Speaker 1: and they all complained about this guy and management. Instead

1733
01:30:22,640 --> 01:30:26,240
Speaker 1: of management do something about it, the management blame the tenants.

1734
01:30:27,080 --> 01:30:30,360
Speaker 1: This guy would then disappear from that apartment complex and

1735
01:30:30,600 --> 01:30:33,240
Speaker 1: end up at the Art and Villas. So that alone

1736
01:30:33,320 --> 01:30:35,559
Speaker 1: tells us that there was no type of reference check

1737
01:30:35,640 --> 01:30:38,919
Speaker 1: conducted on this guy. It was not an extensive background

1738
01:30:39,000 --> 01:30:43,000
Speaker 1: check as they claimed was conducted. And the sad thing

1739
01:30:43,080 --> 01:30:45,840
Speaker 1: about this is this is a debt that was totally

1740
01:30:45,920 --> 01:30:49,720
Speaker 1: preventable and to see a family have to deal with

1741
01:30:49,880 --> 01:30:52,320
Speaker 1: the loss of a nineteen year old daughter, this is

1742
01:30:52,360 --> 01:30:54,240
Speaker 1: just something that they would never ever be able to

1743
01:30:54,280 --> 01:30:57,679
Speaker 1: get out of their heads since the guy's committed suicide.

1744
01:30:57,680 --> 01:31:01,680
Speaker 1: What does justice look like for this fan? Justice for

1745
01:31:01,800 --> 01:31:06,160
Speaker 1: this family is holding this apartment complex responsible. Is holding

1746
01:31:06,200 --> 01:31:09,479
Speaker 1: the police responsible not just for them, but for they're

1747
01:31:09,520 --> 01:31:11,880
Speaker 1: so concerned about everybody else. You know, one of the

1748
01:31:12,400 --> 01:31:16,160
Speaker 1: reasons that they wanted to start the foundation and even

1749
01:31:16,360 --> 01:31:20,560
Speaker 1: talking with lawmakers about changing the laws is there's no

1750
01:31:20,840 --> 01:31:24,519
Speaker 1: quote unquote justice for them because they lost who they is,

1751
01:31:24,840 --> 01:31:29,080
Speaker 1: their baby, their princess. But they are fighting now to

1752
01:31:29,840 --> 01:31:32,160
Speaker 1: make sure that this doesn't happen to other families. And

1753
01:31:32,640 --> 01:31:35,960
Speaker 1: you know, days, you know, after this, you know, they

1754
01:31:36,360 --> 01:31:41,280
Speaker 1: found their daughter unfortunately deceased, they were already talking about

1755
01:31:41,320 --> 01:31:44,320
Speaker 1: how can we stop this from happening to anyone else?

1756
01:31:44,720 --> 01:31:48,360
Speaker 1: And they already acknowledge that because they're so well connected.

1757
01:31:48,840 --> 01:31:52,120
Speaker 1: They kept saying, like, you know, Jody, Gosh, what do

1758
01:31:52,240 --> 01:31:55,160
Speaker 1: the families that do not have the connections that we

1759
01:31:55,360 --> 01:31:59,960
Speaker 1: have actually go through. If we didn't have access to media, friends,

1760
01:32:00,160 --> 01:32:04,080
Speaker 1: we didn't have access to retired police officers to help guidance,

1761
01:32:04,120 --> 01:32:07,519
Speaker 1: if we didn't have access to Attorney Washington to spend

1762
01:32:07,560 --> 01:32:12,400
Speaker 1: others what those families do in this situation. So this family,

1763
01:32:12,520 --> 01:32:15,120
Speaker 1: right now, justice is going to be about changing laws,

1764
01:32:15,240 --> 01:32:19,800
Speaker 1: holding people accountable, ensuring that their daughter's name is never forgotten,

1765
01:32:20,280 --> 01:32:22,800
Speaker 1: working on what we deemed me as law in the

1766
01:32:22,880 --> 01:32:26,120
Speaker 1: state of Florida, and so that's that's kind of what

1767
01:32:26,280 --> 01:32:29,160
Speaker 1: justice is going to look like for this family right now. Well,

1768
01:32:29,200 --> 01:32:31,120
Speaker 1: thank you so much for joining us. We want to

1769
01:32:31,160 --> 01:32:33,880
Speaker 1: make sure that we, you know, also publicize this story

1770
01:32:33,920 --> 01:32:37,439
Speaker 1: as much as possible so it doesn't go under the radar,

1771
01:32:37,640 --> 01:32:39,600
Speaker 1: and we keep our foot on their next too, to

1772
01:32:39,680 --> 01:32:43,360
Speaker 1: make sure that there is some type of accountability to

1773
01:32:43,479 --> 01:32:46,599
Speaker 1: the fullest. Yeah, I can just say this and not apologize. Man,

1774
01:32:46,680 --> 01:32:49,560
Speaker 1: this is such a serious problem that we have in

1775
01:32:49,640 --> 01:32:53,680
Speaker 1: our community. So many young girls are missing today and

1776
01:32:53,880 --> 01:32:56,240
Speaker 1: they don't get the same attention that a lot of

1777
01:32:56,280 --> 01:32:59,360
Speaker 1: these cases get. So we can imagine where a lot

1778
01:32:59,360 --> 01:33:01,720
Speaker 1: of families are gone to so gone through it. So

1779
01:33:01,920 --> 01:33:04,200
Speaker 1: I really appreciate you guys taking the time out of

1780
01:33:04,479 --> 01:33:06,760
Speaker 1: you know, your day to to highlight this this case.

1781
01:33:07,320 --> 01:33:11,680
Speaker 1: Thank you, Jody and Jody. Please keep me updated all right, Well,

1782
01:33:11,840 --> 01:33:15,160
Speaker 1: thank you Attorney Daryl Washington and Jody Lewis. Now, Charloman,

1783
01:33:15,200 --> 01:33:17,400
Speaker 1: you got a positive note, Yes, I got a positive

1784
01:33:17,439 --> 01:33:19,080
Speaker 1: note today. But first I want to tell y'all to

1785
01:33:19,120 --> 01:33:22,439
Speaker 1: make sure to go listen to the Gods Honest Truth podcast. Okay,

1786
01:33:22,720 --> 01:33:25,920
Speaker 1: the new episode went up today called Nothing Season. If

1787
01:33:25,920 --> 01:33:28,880
Speaker 1: you missed the episode Friday with Shannon bou Dram and

1788
01:33:29,040 --> 01:33:31,280
Speaker 1: Michael Eric Dyson, then you can listen to the podcast

1789
01:33:32,040 --> 01:33:35,439
Speaker 1: today on The Black Effect iHeartRadio podcast network, available everywhere

1790
01:33:35,439 --> 01:33:37,640
Speaker 1: you listen to podcasts, and you can go scream It

1791
01:33:37,920 --> 01:33:41,360
Speaker 1: on Paramount Plus until our new episode drops this Friday

1792
01:33:41,400 --> 01:33:44,400
Speaker 1: at ten pm on Comedy Central. Look okay, now, the

1793
01:33:44,479 --> 01:33:47,920
Speaker 1: positive notice, this real growth is when you start checking

1794
01:33:47,960 --> 01:33:51,240
Speaker 1: and correcting yourself instead of blaming others. You take your

1795
01:33:51,280 --> 01:33:54,840
Speaker 1: power back by being responsible for your life. Breakfast Club,

1796
01:33:55,920 --> 01:33:56,800
Speaker 1: finish for y'all. Done,