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Speaker 1: All right, thanks Scott Shannon, and thanks to all of

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Speaker 1: you for being with us. Happy Monday eight is happy.

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Speaker 1: The Oscars, which I didn't even barely know was on.

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Speaker 1: I mean, this thing tanked eight hundred nine four one

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Speaker 1: sewn Tolfree telephone number. I hope you'll call in today

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Speaker 1: be a part of this extravaganza. I mean, if you

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Speaker 1: go back in twenty fourteen, over forty million Americans watched

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Speaker 1: the Oscars, You want to go back further, well, Joe

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Speaker 1: Conscha on the program later today, nineteen ninety eight. Fifty

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Speaker 1: plus million people watched the Oscars twenty fourteen, not that

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Speaker 1: long ago. Forty million people. Last year eighteen point one million,

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Speaker 1: this year eight point nine. An unmitigated failure, anumitigated disaster.

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Speaker 1: Now somebody had sent me this. Where did I see this? Somewhere?

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Speaker 1: That The New York Times actually talked to one of

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Speaker 1: the producers of the Oscars on the condition of anonymity

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Speaker 1: and told The New York Times that data found when

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Speaker 1: you can actually get breakdown minute by minute ratings and

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Speaker 1: their post show analysis. Ratings analysis indicated that tons of

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Speaker 1: people tuned out, I tuned off their television when these celebrities,

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Speaker 1: the elite in Hollywood start lecturing their audience. They don't

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Speaker 1: want to hear it, and they're turning out. And I'm

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Speaker 1: telling this, you can see the same thing what's happening

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Speaker 1: to athletics. This is where I don't think athletes have

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Speaker 1: really thought through the impact to their lives, their futures,

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Speaker 1: their careers. Look. One of the things I know because

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Speaker 1: I've interviewed many professional athletes over the course of my

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Speaker 1: life and know a lot of kids are athletes in

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Speaker 1: college and high school and hard they all have to work.

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Speaker 1: I mean, it is big time. It's a full time

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Speaker 1: job to be a top performing athlete. It just is.

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Speaker 1: And that's everything from you know, stretching and strength training

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Speaker 1: and conditioning and stamina and all these other things on

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Speaker 1: top of whatever the skill set you need for your

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Speaker 1: specific sport. But you can see it happening in with

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Speaker 1: the NFL. Their ratings have been way down the last

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Speaker 1: couple of years. You can see it the NBA playoff numbers.

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Speaker 1: I mean, Hannity, my little TV show, was beating it significantly.

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Speaker 1: You can see it. In late ninth television. You know,

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Speaker 1: people bring up all of these shows fallon and Colbert

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Speaker 1: and Kimmel and Sets whatever his name is, and that

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Speaker 1: hates me and their ratings suck. I mean Set Meyers

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Speaker 1: gets less than a million viewers a night. Last year,

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Speaker 1: you know, we averaged over four million, set a record

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Speaker 1: for any one year in cable news, but not getting

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Speaker 1: now always post presidential election year you see a decline.

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Speaker 1: But we're beating every one of those shows by like

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Speaker 1: a million viewers on an average night because nobody wants

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Speaker 1: to hear or be lectured too. And when it comes

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Speaker 1: to athletics, is where the MLB and the NBA their

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Speaker 1: ratings sucked, their playoff ratings suck, and the and the

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Speaker 1: NFL they're missing out something here. If you want to

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Speaker 1: look why do we love sports? And why is why

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Speaker 1: are sports so good for communities? Because if you look

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Speaker 1: at the people in the stands, you've got a diverse crowd.

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Speaker 1: You have people of all backgrounds, all races, all creeds, religions.

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Speaker 1: They're there for one reason is they love their team.

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Speaker 1: It's an opportunity for people to put aside the day

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Speaker 1: to day stress that we all have and problems and

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Speaker 1: politics and go to a ball game, have a beer

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Speaker 1: or two, sometimes three, and eat a hot dog, have

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Speaker 1: some popcorn, get cotton candy, whenever you get your kids

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Speaker 1: the junk they like, and you have a great day

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Speaker 1: and everyone's cheering for the same team. Then you add

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Speaker 1: pop politics to this. This is what Colin Koppernick, you know,

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Speaker 1: didn't understand, or Lebron James clearly doesn't understand. Is okay, Well,

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Speaker 1: now people are viewing less. That means that that rights

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Speaker 1: fees are going to eventually go down because they're not

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Speaker 1: going to be able to sustain the ad rates that

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Speaker 1: are needed to get the rights to run these these

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Speaker 1: sporting events. And then it's it's going to be a

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Speaker 1: ripple effect. And then when attendance goes down, well, then

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Speaker 1: the net result of that is players, professionals, they're gonna

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Speaker 1: be paid less money because they're not going to have

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Speaker 1: the money to pay these big salaries. But by the

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Speaker 1: way that many of these athletes, I mean, the best

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Speaker 1: of the best deserve and and have worked hard for

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Speaker 1: and we should all be happy for them. I mean,

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Speaker 1: I like watching people that are at the top level

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Speaker 1: of whatever their profession happens to be. I marvel at

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Speaker 1: their gifts, their talent and the work that I know

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Speaker 1: went on behind the scenes for them to get that

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Speaker 1: good and I you know, and and the thing is is,

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Speaker 1: if there is a cause or a passion of an athlete,

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Speaker 1: they would have the good will of everybody in the

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Speaker 1: stands and everybody at home. If you just go out

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Speaker 1: and say, listen the violence in Chicago. I live, I

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Speaker 1: care about this. I want to stop this. I want

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Speaker 1: to offer kids alternatives to the failing public schools. And

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Speaker 1: if they were to ask their fans to join with them, somebody,

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Speaker 1: you know, like Lebron James got over fifty million Twitter

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Speaker 1: followers were crying out loud. It's I guarantee you his

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Speaker 1: fans would unite instead of taking, you know, the devisive

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Speaker 1: political rhetoric route that that so many other people do,

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Speaker 1: you know. And it's just sad that they just they

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Speaker 1: don't seem to have any desire to do any of

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Speaker 1: these things. And it's um it's in our pol people

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Speaker 1: want there. There are moments even I that am you know,

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Speaker 1: I live, eat, breathe, sleep, my job, my work, it's

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Speaker 1: my passion. I'd love to do this every day. I'm honored,

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Speaker 1: I'm blessed. I'm appreciative that you give me this microphone

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Speaker 1: every day and that camera every night, because frankly, these

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Speaker 1: are troubled times for this country. I couldn't be any

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Speaker 1: more concerned about the future than I am now with

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Speaker 1: a sense of urgency that that just doesn't leave me.

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Speaker 1: It's it's that real what we're dealing with with, you know, now,

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Speaker 1: the biggest power grab ever attempted by any major political

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Speaker 1: party in the history of the country. I want to

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Speaker 1: talk about policing and defunding and or dismantling the police. Okay, Well,

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Speaker 1: the twenty four or so shot this weekend in Chicago,

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Speaker 1: four dead seven year old little girl. Eighteen year old

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Speaker 1: man expected to appear in court to face charges in

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Speaker 1: the fatal shooting of seven year old Joscelyn Adams. Remember

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Speaker 1: who that person was? H Wasn't that why profile the case?

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Speaker 1: Remember she was the little girl that died in a

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Speaker 1: hail of bullets fired into her family car while going

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Speaker 1: through McDonald's drive through in Chicago first grade or shot

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Speaker 1: six times as she and her father were in a

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Speaker 1: drive through at McDonald's. I mean, can you imagine, you

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Speaker 1: know what it's like when you take your kids to McDonald's. No,

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Speaker 1: I don't know if Linda takes poor Liam. I don't

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Speaker 1: know if he gets to go to McDonald's. Does he

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Speaker 1: get to go to McDonald's so he does not go

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Speaker 1: to McDonald's. How could you not take it's unfair, It's

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Speaker 1: it's borderline madness. Every kid loves a happy meal. They're

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Speaker 1: gonna put a pole. I'm gonna put a happy on

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Speaker 1: handity dot com. You know it's gonna say I don't

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Speaker 1: need it much because I can't because I can't eat

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Speaker 1: like I. Oh my god, you're so full of it.

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Speaker 1: First of all, when you're on the road, you are

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Speaker 1: the worst eater I have ever been around in my life.

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Speaker 1: Wait a minute, the key words here? When I'm on

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Speaker 1: the road show. You put on enough calories on a

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Speaker 1: book tour for an entire dust of acrobats. It's unbelievable.

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Speaker 1: What do you what do you mean? Dude? This is you?

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Speaker 1: This is you in the um. What's that place that

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Speaker 1: you love? In and out? In and out Burger? This

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Speaker 1: is you. I would like um animal something I want?

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Speaker 1: I want the straw me on my burger. What it's

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Speaker 1: not as crowd You're mixing it up with Crownburger. That's

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Speaker 1: I don't know. All I know is that that we're

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Speaker 1: fried everything fried, French fries, fried, oreos fried. But they

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Speaker 1: take onions. If you watch them in and out Burger,

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Speaker 1: they actually have real potatoes and they slice them in

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Speaker 1: front of you, peel them slices that make them less

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Speaker 1: fattening when they put it fresh oil and every day,

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Speaker 1: and they're delicious. French fries are the coolest, one of

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Speaker 1: the coolest inventions God ever made. Uh huh. You're supposed

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Speaker 1: to disagree that God made French fries, But first of all,

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Speaker 1: God made potatoes. God made the oil to fry them. Listen,

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Speaker 1: He made, God made the God made the human being

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Speaker 1: who decided to put potatoes into French fries and single

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Speaker 1: wood cheese, catch a pickles, onions. I like a quarter

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Speaker 1: pounder withd cheese, meal, French fry, large fry, and a coke.

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Speaker 1: I'm telling you right now, the only thing, the only

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Speaker 1: thing my son eats, and he likes double double a. Well,

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Speaker 1: go ahead, no, he likes Chick fil At, that's it.

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Speaker 1: So do you allow him to go to Chick fil A?

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Speaker 1: I do. I like Chick fil A and I see

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Speaker 1: the way they prepare their food and it seems to

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Speaker 1: be a little bit more kenny up than the other.

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Speaker 1: If I ever at the babysit Liam, which you'd never

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Speaker 1: ever allowed. First of all, I am take laughing, you

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Speaker 1: live too far away. But if you have your idea

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Speaker 1: of babysitting is say yes to everything that's not you

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Speaker 1: ask Liam? You ask him Liam, would you like to

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Speaker 1: go to McDonald's and get a happy meal? You can

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Speaker 1: get chicken McNuggets or you can get a cheeseburger happy meal.

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Speaker 1: Would you like that with French fries? And you can

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Speaker 1: get it? You can get apple juice with it if

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Speaker 1: you want, and you get it. Well, he's five, so

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Speaker 1: you know everything is chicken and French fries right now,

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Speaker 1: So of course he would say yes to that. Okay,

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Speaker 1: then you're depriving your child of a normal childhood. That's no,

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Speaker 1: because I make French fries here in the air fryer

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Speaker 1: with no oil, and I make chicken McNuggets in the

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Speaker 1: air frier with no one air friar. Thank God for

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Speaker 1: air friars. Dude. That thing is amazing. Yeah, you know

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Speaker 1: what's more amazing, My master built butterball turkey fryer again

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Speaker 1: with the oil and fries in that I'm telling you,

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Speaker 1: I'm putting a pole up on Hannity dot Com and

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Speaker 1: the audience. You're gonna lose this poll. I'm not gonna

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Speaker 1: gonna say, is it okay to take your It's gonna

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Speaker 1: right or wrong? Wrong? Sure? What do you mean? No?

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Speaker 1: You gets all in the wording of the question. Is

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Speaker 1: it okay to take your child to McDonald's for a

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Speaker 1: happy meal? Okay? Everyone? So I'm not saying every day? Now?

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Speaker 1: Do you you let your son eat pizza at least

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Speaker 1: once a week? Once a week and let me get

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Speaker 1: what do you what? Do you put vegetables on it? Oh? No,

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Speaker 1: I wouldn't never do that to him. That's as bad

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Speaker 1: as eating it with a fork? Who did regular? Good pizza?

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Speaker 1: Regular pizza? Okay? Killed in Chicago? By the way, New

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Speaker 1: York City, now, remember they defunded the billion dollars out

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Speaker 1: of the NYPD. Fifty people shot forty six incidents over

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Speaker 1: a seven day period ending this past Sunday. Can you

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Speaker 1: believe that fifty people shot forty six separate incidents seven

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Speaker 1: day period in surge from the same week in twenty

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Speaker 1: twenty and last year wasn't particularly a good year either.

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Speaker 1: The city logged eleven shootings twelve victims during the final

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Speaker 1: full week of the month, more than a month into

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Speaker 1: the city's COVID lockdown, and the same twenty same as

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Speaker 1: twenty nineteen. This weekend alone, nearly two dozen shootings kept

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Speaker 1: and cops don't want to respond anymore NYPD cops. In

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Speaker 1: case you're interested, you can tie these two statistics together.

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Speaker 1: More than five thousand, three hundred NYPD uniform officers retired

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Speaker 1: or put in their papers to leave in twenty twenty eight,

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Speaker 1: seventy five percent hike spike from from the year before,

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Speaker 1: according to data. There the exodus amid the pandemic, the rioting, etc.

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Speaker 1: The lack of support, cops getting dumped with water on

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Speaker 1: their head their vehicles and vandalized, getting bullhorns in their face,

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Speaker 1: toy pigs thrown at their cars, and you know, yeah,

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Speaker 1: rocks and bottles and bricks and molotov cocktails. I mean,

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Speaker 1: why would you want to be a cop today? You

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Speaker 1: shouldn't be a cop. You know, it's police kill at

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Speaker 1: the oscars and every other insane thing that was said.

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Speaker 1: Although Tyler Perry's Oscar speech, he said not to hate

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Speaker 1: the police, but what did the audience do, He says, no,

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Speaker 1: they stopped clapping. I refused to hate someone because they're Mexican,

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Speaker 1: because they're African American, white, old GBTQ. I refused to

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Speaker 1: hate someone because they're a police officer, or because they're

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Speaker 1: they're Asian American. I would hope we refused to hate.

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Speaker 1: After the guy mentioned the police, the applause that had

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Speaker 1: begun as he was speaking, well, they just stopped clapping,

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Speaker 1: faded away into silence. All right twenty five to the

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Speaker 1: top of the hour. So we've been following this disaster.

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Speaker 1: Will actually give you a COVID update with doctor George

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Speaker 1: fred and doctor Brian Tyson. And you know, New York

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Speaker 1: still has six hundred thousand kids that are not attending

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Speaker 1: in person, don't have in person education. Florida had to

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Speaker 1: go in since August, Texas, Florida, all the Republican states

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Speaker 1: that didn't adopt draconian shutdowns did so much better, and

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Speaker 1: we're seeing this. The worst place is still Michigan. I mean,

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Speaker 1: Michigan's an unmitigated disaster. New York, of course, obviously, New Jersey, California, Pennsylvania,

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Speaker 1: New York, New Jersey, and Pennsylvania, and not far behind

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Speaker 1: the executive actions on nursing homes. They all did the

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Speaker 1: same dumb thing, forcing nursing homes to take on these

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Speaker 1: COVID nineteen patients, and the death tolls reflects it and

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Speaker 1: cover up in New York, remember the very early on

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Speaker 1: as Whitmer, Whitlas Whittmer, you know, institutes these draconian shutdowns.

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Speaker 1: Remember her husband, you know, even though you aren't allowed to.

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Speaker 1: You know, he's special. He's taking a little boat out

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Speaker 1: and I don't know what he's planning to do with that.

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Speaker 1: Oh I'm the I'm the governor's husband. Oh, good for you.

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Speaker 1: And then we caught Governor Whitmer lying about taking a

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Speaker 1: trip to Florida. She lied because she absolutely lied through

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Speaker 1: a tea No I never went anywhere. No, I didn't

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Speaker 1: go anywhere, did nothing well, I would have been gets

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Speaker 1: caught and then lies about it when you get caught.

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Speaker 1: So we have a democratic lawmaker, an elected Michigan Democrat,

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Speaker 1: refusing to obey their own laws again, caught drunk driving,

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Speaker 1: cursing out cops, resisting arrest, fighting with paramedics, trying to

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Speaker 1: use his political connections to beat the rap. The state

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Speaker 1: Rep's name is Jule Jones crashed the v vehicle you know,

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Speaker 1: allegedly assaulted first responders attempting to help the guy and

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Speaker 1: a passenger, and it's on camera now, dash cam video

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Speaker 1: demanding they call Governor whit whit murdered to bail him out. Listen,

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Speaker 1: so I already want you to I already ask your

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Speaker 1: drivers take care, take my sun take out. I gotta

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Speaker 1: make sure you're not going anywhere right now. You gonna

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Speaker 1: take me with him? All right, listen to me. We're

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Speaker 1: gonna do this one step at a time. All right, okay,

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Speaker 1: bag on first help right now. I want your I

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Speaker 1: D and your drivers like okay. The only dollar reason

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Speaker 1: I'm tasting up. Don't get up. You're not gonna do

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Speaker 1: stop presenting, stop get it. I'm telling me do that.

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Speaker 1: That's not gonna be good. It's gonna be good, boy,

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Speaker 1: I'm telling do you know I run on budget? Bro,

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Speaker 1: I'm killing I do want to. I won't move. I'm

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Speaker 1: gonna know where I'm gonna talk to you. We got

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Speaker 1: that be right, give here about We're going to let

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Speaker 1: go my arm. I'm gonna get I would like this

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Speaker 1: because you don't right arm. But I'm presenting I'm gonna

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Speaker 1: be with Stummer became I'm black When I called Gretchen,

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Speaker 1: I mean, I mean, I'm bat and I'm letting. I

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Speaker 1: told you I wouldn't. I will sit here and give

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Speaker 1: you on my shoe if y'all that's all I'm saying.

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Speaker 1: I'm work. I don't give work with the bullies. Yeah,

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Speaker 1: called Gretchen. You can't make this up. I mean, but

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Speaker 1: I feel bad for the cops. Now you can hear

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Speaker 1: something in that call. Oh I'm being I'm being harassed.

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Speaker 1: Now we have these this idiotic push not only to

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Speaker 1: defund and dismantle, but now also to take away cities

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Speaker 1: and towns from indemnifying police. If in fact, these they

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Speaker 1: get sued, meaning they can get sued personally, and then

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Speaker 1: I have to out of their own pocket pay for

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Speaker 1: their lawyers. It is mathematically impossible on a police officer's

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Speaker 1: salary to be able to pay for lawyers to the

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Speaker 1: extent they would need to. Because what's gonna happen is

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Speaker 1: every criminal is gonna figure out I'll just sue the cop.

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Speaker 1: Cops that ain't gonna have to hire lawyers. Cops are

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Speaker 1: gonna stop arresting anybody they're not gonna be able to

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Speaker 1: do their job. It's how dumb this this all gets anyway,

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Speaker 1: And you want to know why I mentioned the Census Bureau.

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Speaker 1: Why all of these this massive migration out of New

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Speaker 1: York is happening out of California, New Jersey, Illinois. It's

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Speaker 1: happening because of idiotic policies, high taxation, burdensome regulation on businesses.

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Speaker 1: It becomes impossible. New York is gonna be a fifteen

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Speaker 1: percent state income tax, city tax state. So you pay

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Speaker 1: forty percent when Joe raises your taxes of every every dollar,

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Speaker 1: you make forty cents out of every dollar than fifteen

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Speaker 1: cents more to the state and City of New York.

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Speaker 1: That's fifty five cents highest property taxes in the country

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Speaker 1: that now you're up to sixty some odd sense and

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Speaker 1: all the other hidden taxes they have. It's just unbelievable,

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Speaker 1: you know. It's even by the way, it's interesting on

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Speaker 1: a side note here Democrats are admitting now that he

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Speaker 1: had Joe hid who he was during the campaign. I've

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Speaker 1: been saying this, Nobody's been listening to me. It's the squad,

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Speaker 1: it's their Green New Deal, Joe pushing it's Nancy Pelosi

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Speaker 1: pushing Alexandria Cassio Cortes's house. She's the speaker Pelosi, speaker

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Speaker 1: of name only, and everyone's so definitely afraid of the

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Speaker 1: squad and Congresswoman A Cassio Cortez, and she says, yeah,

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Speaker 1: I'm giving Joe a real thumbs up. Here's first hundred

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Speaker 1: days in office. They've exceeded my expectations and every expectation

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Speaker 1: that progressives have had. One thing that I will say

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Speaker 1: is that I do think that by administration in prison

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Speaker 1: Biden has definitely exceeded expectations that progressives had. You know,

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Speaker 1: I'll be frank, I think a lot of us expected

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Speaker 1: a much more conservative administration. Yeah, Congressman McCarthy said, it's

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Speaker 1: a bait and switch, you know, Yeah, promises of unity

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Speaker 1: and bipartisanship. That's one big lie house goops, botlights. How

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Speaker 1: bad this to fund the police target You know who's

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Speaker 1: gonna get hurt here. If Rudy Giuliani didn't didn't start

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Speaker 1: stopping frisk and didn't use the vast majority of NYPD

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Speaker 1: resources targeting areas with the highest crime rates and empowering

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Speaker 1: the police to do their job, there's no way you

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Speaker 1: go from nearly three thousand murders every year down to

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Speaker 1: a few hundred. It took a lot of work, meaning

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Speaker 1: a lot of lives were saved. Mansion is getting I

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Speaker 1: don't know, Joe Mansion. I thought he was about to

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Speaker 1: cave on eliminating the legislative filibuster. He says, I'm not

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Speaker 1: going to be a part of blowing up the Senate.

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Speaker 1: That's not happening. Not gonna do it. I hope he

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Speaker 1: stays where he is. And you know, it's just on

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Speaker 1: every single solitary issue, everyone's now racist. If you're against

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Speaker 1: DC statehood, you're racist if support the far more inclusive

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Speaker 1: Georgia voting law than the state of Delaware, where Joe

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Speaker 1: has represented Delaware a thousand years and Joe never lifted

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Speaker 1: a finger. Just one of the most restrictive states in

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Speaker 1: the country. Actually, as he says, brag my state, it's

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Speaker 1: a slave state. He said, Okay, Well, they don't have

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Speaker 1: seventeen days of early in person voting in Delaware. Georgia

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Speaker 1: does they don't have drop boxes anywhere in Delaware Georgia.

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Speaker 1: Does they have voter ID laws in Georgia and Delaware?

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Speaker 1: How does he get to say there's a Jim Crow

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Speaker 1: two point zero, you oppose that, If you oppose eliminating

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Speaker 1: the legislative filibuster, you're posted packing the courts if you

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Speaker 1: oppose DC State and everything's racist now. And by the way,

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Speaker 1: if you think that the two trillion dollar covert emergency relief,

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Speaker 1: which was the Blue State bailout down payment on New

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Speaker 1: Green Deal in reality and truth, and the Infrastructure Bill

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Speaker 1: which was nothing but New Green Deal spent reckless spending.

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Speaker 1: Now Joe's proposing another trillion dollars spending package that now

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Speaker 1: we're up to six trillion to new spending. Wow, you know,

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Speaker 1: we'll just keep printing money. Let's see how that's gonna work,

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Speaker 1: you know, while apologizing to America abroad doing nothing about

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Speaker 1: you know, Putin and his troops now raising the tensions

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Speaker 1: with Ukraine and saber rattling there, or China's territorial ambitions

359
00:23:27,160 --> 00:23:31,080
Speaker 1: on full display in Hong Kong, Taiwan and in the

360
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Speaker 1: Pacific building literally their own islands. Now, you know new

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Speaker 1: Pole Biden's hundred day approval vastly over samples Democrats. You know,

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Speaker 1: they have Joe at a fifty two approval rating, which

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Speaker 1: isn't all that good either. By the way, it's the

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Speaker 1: third lowest one hundred day approval rating for any president,

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Speaker 1: going back to Harry Truman. But to even get that,

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Speaker 1: ABC and Washington The Washington Post poll conducted landline in

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Speaker 1: cellular telephones, which is not the way to do polling

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Speaker 1: these days anyway. They break it down thirty three percent Democrat,

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Speaker 1: twenty four percent Republican. Okay, thirty three percent Democrats twenty

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Speaker 1: four Of course you're gonna get a higher approval rating.

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Speaker 1: It was a Rasmusin report which was pretty fascinating that, Yeah,

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Speaker 1: a vast majority say that Kamala Harris is not qualified

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Speaker 1: to become the president of the United States, and they

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Speaker 1: have a very they have an unfavorable impression of Harris

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Speaker 1: and forty three percent very unfavorable. Why does she laugh

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Speaker 1: at these awkward moments. It's just it's bizarre. Now, Biden

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00:24:40,000 --> 00:24:42,920
Speaker 1: planning to double the capital gains taxes from twenty three

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Speaker 1: to forty four percent. That's gonna district I'm telling you,

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Speaker 1: it's this. None of this is gonna be good, These

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Speaker 1: America last policies of Biden. It's not gonna be good,

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Speaker 1: you know. The it's just these are going to be

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Speaker 1: very hard times. Kamala, we should have an assault weapons band. Okay,

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Speaker 1: Remember she said as a candidate that she thought it

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Speaker 1: could be done by executive action aoc praising Joe. That's

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Speaker 1: all you need to know. Chucky Todd is out there.

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Speaker 1: Biden's approval rating is really it's the new sixty. Huh. Okay,

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Speaker 1: fifty three percent is their new sixty. Yeah, okay, fuzzy

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Speaker 1: math anyway, but it's really the lowest approval of any

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Speaker 1: modern day president, one of the lowest. One disastrous Democratic

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Speaker 1: welfare program, by the way, is causing a hiring crisis.

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Speaker 1: McDonald's franchise in Florida is so desperate for workers they

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Speaker 1: started offering people fifty bucks just to show up to

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Speaker 1: do to an interview. I wonder if they include a

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Speaker 1: happy meal for Linda's child, who's been deprived a happy

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Speaker 1: meal in his life. This poor kid, Uncle Shaun is

396
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Speaker 1: going to get him a happy meal, come hell or

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Speaker 1: high water. I'm gonna figure out how to make that happen.

398
00:26:00,240 --> 00:26:02,120
Speaker 1: To mail it to him when you're out of town

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Speaker 1: or something. You cann't vail him a happy meal. I

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00:26:05,280 --> 00:26:08,680
Speaker 1: don't know what I'm gonna I'm gonna bribe grandma. I'm

401
00:26:08,680 --> 00:26:12,560
Speaker 1: gonna I'm gonna get grandma, and Grandma has to agree

402
00:26:12,600 --> 00:26:15,080
Speaker 1: with me nine times out of ten. My mother's on

403
00:26:15,160 --> 00:26:18,800
Speaker 1: your side anyway, that's correct, because your mother's a very smart,

404
00:26:19,600 --> 00:26:28,480
Speaker 1: wonderful woman, you know, yeah, a grandma. Yeah, Linda, you

405
00:26:28,560 --> 00:26:32,080
Speaker 1: need to talk to her again. You know, she's not

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Speaker 1: taking her happy CBD pills. She needs some. Listen. I

407
00:26:35,720 --> 00:26:39,440
Speaker 1: just got more of those. They're fantastic. Yeah, okay, great.

408
00:26:39,480 --> 00:26:43,040
Speaker 1: It relieves your anxieties and calms you down. But you're

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00:26:43,040 --> 00:26:44,960
Speaker 1: supposed to be coming after a long day with you.

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00:26:45,119 --> 00:26:47,840
Speaker 1: I need, you know, CBD gummies to calm me down.

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00:26:47,960 --> 00:26:51,159
Speaker 1: Thank god, I have BYBD gummies. Somebody sent me a

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Speaker 1: CBD E sig and I tried it actually wasn't bad.

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Speaker 1: I ain't even heard of that. Well, I don't know

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Speaker 1: where they got it. Huh. Talib says Congresswoman Talib. We

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Speaker 1: cannot be a society that justifies the killing of a child.

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Speaker 1: I would agree with that, But what she's talking about

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Speaker 1: is the the the Kayak case that took place last week,

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Speaker 1: and what happened there is she was about to stab

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Speaker 1: somebody and she you know, now the cop has to

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Speaker 1: make a split second decision, and he saved an innocent

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Speaker 1: girl's life in the process. I'll play later all these

422
00:27:34,880 --> 00:27:37,000
Speaker 1: viral videos of cops. Now they're putting it out there.

423
00:27:37,160 --> 00:27:39,480
Speaker 1: Hang on, guys, please don't stab each other right now.

424
00:27:39,560 --> 00:27:41,560
Speaker 1: Hang on, let me call Lebron James, see what he

425
00:27:41,680 --> 00:27:45,760
Speaker 1: thinks I should do. They're all over the place. Eight

426
00:27:45,880 --> 00:27:48,120
Speaker 1: hundred nine one. Shaun has our number if you want

427
00:27:48,119 --> 00:27:52,000
Speaker 1: to be a part of the program. They oh, oh,

428
00:27:52,119 --> 00:27:55,320
Speaker 1: this was interesting. A little side note. Clinton's White House apparently,

429
00:27:55,800 --> 00:27:58,000
Speaker 1: remember came out recently that he did fly in the

430
00:27:58,119 --> 00:28:01,760
Speaker 1: Lolita Express after lying to us saying he never did.

431
00:28:02,600 --> 00:28:07,680
Speaker 1: And apparently the Clinton White House welcome Epstein and just

432
00:28:07,880 --> 00:28:12,440
Speaker 1: laying Maxwell as VIP guests, and there are photos of it.

433
00:28:13,480 --> 00:28:18,040
Speaker 1: That's pretty interesting watching that. Clarence Thomas called out as

434
00:28:18,119 --> 00:28:22,000
Speaker 1: liberal court colleagues for their inconsistent opinions based on and

435
00:28:22,119 --> 00:28:25,880
Speaker 1: depending on the issues. In other words, they're not being

436
00:28:25,960 --> 00:28:32,440
Speaker 1: governed by judicial philosophy, say of constitutionalism or originalism. They're

437
00:28:32,480 --> 00:28:36,120
Speaker 1: basing their decisions based on the political moment of the time,

438
00:28:36,200 --> 00:28:41,480
Speaker 1: which is the exact opposite of the role of the court. Anyway,

439
00:28:41,880 --> 00:28:45,320
Speaker 1: Liz Cheney apparently is thinking of running for president. I

440
00:28:45,400 --> 00:28:47,560
Speaker 1: don't think that's going to end out end up well,

441
00:28:48,320 --> 00:28:51,200
Speaker 1: I might want to save your money, not ruling out

442
00:28:51,960 --> 00:28:56,120
Speaker 1: running for president. Right hour two Sean Hannity Show. Thanks

443
00:28:56,160 --> 00:28:58,280
Speaker 1: for for being with us, toll free. We'll get your

444
00:28:58,320 --> 00:29:01,680
Speaker 1: calls in today. Promise eight hundred nine four one sewn

445
00:29:01,760 --> 00:29:03,520
Speaker 1: you want to be a part of the program. A

446
00:29:03,560 --> 00:29:11,000
Speaker 1: lot of news out there regarding COVID nineteen, therapeutic advancement,

447
00:29:11,200 --> 00:29:16,000
Speaker 1: regener on some of these these other monocolonial cocktails as

448
00:29:16,080 --> 00:29:21,680
Speaker 1: they call them, and ivermectin and HCQ, which we were told,

449
00:29:21,840 --> 00:29:24,640
Speaker 1: oh yeah, and this medical journal and that medical journal

450
00:29:24,800 --> 00:29:28,600
Speaker 1: is dangerous. Yeah, then they retracted them so much as

451
00:29:28,600 --> 00:29:33,000
Speaker 1: they've gotten wrong. Let's go back a year ago March

452
00:29:33,360 --> 00:29:37,360
Speaker 1: and the great doctor Fauci's advice on masks. Now in

453
00:29:37,400 --> 00:29:41,280
Speaker 1: the United States, people should not be walking around with masks.

454
00:29:42,120 --> 00:29:44,280
Speaker 1: You're sure of it, because people are listening really no

455
00:29:44,520 --> 00:29:46,800
Speaker 1: closely to this right now. People should not be working.

456
00:29:46,840 --> 00:29:48,720
Speaker 1: There's no reason to be walking around with a mask.

457
00:29:48,960 --> 00:29:52,480
Speaker 1: That led, of course to a radical shift and change

458
00:29:52,600 --> 00:29:55,160
Speaker 1: and even getting to the point, you know, people being

459
00:29:55,240 --> 00:29:59,120
Speaker 1: chased around stores and ratted out by the mask fullies,

460
00:29:59,200 --> 00:30:01,840
Speaker 1: if there was a moment that they didn't have their

461
00:30:01,920 --> 00:30:04,440
Speaker 1: mask on, or if a one or two year old

462
00:30:04,680 --> 00:30:07,400
Speaker 1: was traveling on an airplane, parents getting kicked off if

463
00:30:07,440 --> 00:30:09,760
Speaker 1: they couldn't keep the mask on the poor kid that's

464
00:30:09,960 --> 00:30:12,960
Speaker 1: you know, didn't want to put the mask on. And

465
00:30:13,400 --> 00:30:16,840
Speaker 1: then it's like one mask, then two masks, and you know,

466
00:30:17,000 --> 00:30:19,960
Speaker 1: then recently saying that even if you have been vaccinated,

467
00:30:20,080 --> 00:30:22,160
Speaker 1: you still got to wear the mask, and you have

468
00:30:22,240 --> 00:30:24,200
Speaker 1: to wear the mask even outside you have to wear

469
00:30:24,280 --> 00:30:27,120
Speaker 1: the mask. I'm like, okay, can we get one clearer opinion?

470
00:30:27,200 --> 00:30:29,040
Speaker 1: Can they get it? Can they get anything in this

471
00:30:29,280 --> 00:30:32,800
Speaker 1: process right, because they've screwed up a lot and hasn't

472
00:30:32,840 --> 00:30:37,400
Speaker 1: particularly been helpful. Now Fauci hinting the CDC may ease

473
00:30:37,760 --> 00:30:40,880
Speaker 1: restrictions on outdoor masking. Yeah, you know, Jim, I don't

474
00:30:40,880 --> 00:30:43,040
Speaker 1: want to come out ahead of a CDC announcement, but

475
00:30:43,200 --> 00:30:46,880
Speaker 1: as you hinted yourself just now a moment ago, that

476
00:30:47,200 --> 00:30:50,000
Speaker 1: very soon, eminently, in the next few days, very likely

477
00:30:50,560 --> 00:30:54,600
Speaker 1: the CDC will be coming out with updating their guidelines

478
00:30:54,760 --> 00:30:58,200
Speaker 1: of what people who are vaccinated can do, and even

479
00:30:58,400 --> 00:31:01,520
Speaker 1: some who are not vaccinated. In certainly what one can

480
00:31:01,600 --> 00:31:04,320
Speaker 1: do outdoors visa V mask is going to be one

481
00:31:04,360 --> 00:31:08,960
Speaker 1: of those recommendations. So stay tuned. That's coming soon, all right,

482
00:31:09,360 --> 00:31:10,760
Speaker 1: And if you don't mind, I'll press a little bit.

483
00:31:10,800 --> 00:31:13,160
Speaker 1: I know you don't want to get ahead of these guidelines,

484
00:31:13,240 --> 00:31:18,120
Speaker 1: but I assume airports, travel that sort of thing that'll

485
00:31:18,160 --> 00:31:21,880
Speaker 1: be coming up as well well, sooner or later. I

486
00:31:21,880 --> 00:31:23,360
Speaker 1: don't know if it's all going to be coming out

487
00:31:23,400 --> 00:31:25,840
Speaker 1: at once. I mean, the one thing for sure is

488
00:31:25,960 --> 00:31:28,400
Speaker 1: the thing that's on a lot of people's minds is

489
00:31:28,480 --> 00:31:30,840
Speaker 1: what about outdoors because obviously a lot of people are

490
00:31:30,880 --> 00:31:33,440
Speaker 1: going to be sending a lot of time more outdoors

491
00:31:33,520 --> 00:31:36,200
Speaker 1: now because the weather is getting really nice, beautiful spring.

492
00:31:36,880 --> 00:31:38,800
Speaker 1: Whether you're going to be seeing people wanted to do

493
00:31:38,960 --> 00:31:42,240
Speaker 1: things outdoors without masks, and it's common sense to know

494
00:31:42,960 --> 00:31:45,240
Speaker 1: that the risk when you are outdoors, which we have

495
00:31:45,360 --> 00:31:49,400
Speaker 1: been saying all along, is extremely low. It flip, the flop,

496
00:31:49,560 --> 00:31:53,360
Speaker 1: the flail, it's everywhere. Now there's an m I T.

497
00:31:54,080 --> 00:31:56,680
Speaker 1: We have some researchers there. They found that the widely

498
00:31:57,960 --> 00:32:02,720
Speaker 1: use six foot rules feet apart indoors does almost nothing

499
00:32:02,840 --> 00:32:05,440
Speaker 1: to stop the spread of COVID nineteen. According to this

500
00:32:05,560 --> 00:32:10,720
Speaker 1: z MIT study fully open Texas in Florida. Yeah, how

501
00:32:10,880 --> 00:32:13,800
Speaker 1: is it that kids have been in school in Florida

502
00:32:13,880 --> 00:32:17,240
Speaker 1: since last August? New York City public school kids five

503
00:32:17,680 --> 00:32:22,000
Speaker 1: and eighty two thousand students still are not experiencing any

504
00:32:22,360 --> 00:32:29,120
Speaker 1: any inside education. It's all over zoom schooling and home schooling, etc.

505
00:32:30,360 --> 00:32:32,760
Speaker 1: Dana White lashed out at the mob in the media

506
00:32:32,880 --> 00:32:35,479
Speaker 1: for calling you know, the event of Oh man, if

507
00:32:35,520 --> 00:32:39,760
Speaker 1: you missed the fights this weekend, who I was crazy? Um, anyway,

508
00:32:39,800 --> 00:32:43,840
Speaker 1: we'll get to that later, saying to basically go blank yourself.

509
00:32:45,360 --> 00:32:48,840
Speaker 1: And but they just they can't seem to get anything right.

510
00:32:49,320 --> 00:32:54,920
Speaker 1: And the now the Johnson and Johnson vaccine is back

511
00:32:55,000 --> 00:32:59,240
Speaker 1: online with the warning about potential blood clotting for women

512
00:32:59,400 --> 00:33:03,160
Speaker 1: eighteen forty eight after the sixth I think it might

513
00:33:03,240 --> 00:33:05,400
Speaker 1: be up to eight cases now, where they had one

514
00:33:05,800 --> 00:33:10,320
Speaker 1: one mortality OSCAR attendees not wearing their masks, not that

515
00:33:10,440 --> 00:33:13,440
Speaker 1: anyone was watching anyway, they lost fifth over fifty percent

516
00:33:13,480 --> 00:33:16,720
Speaker 1: of their ratings from last year's disaster. And you know,

517
00:33:16,960 --> 00:33:19,440
Speaker 1: to me, it's you know, as I've been I've been

518
00:33:19,560 --> 00:33:22,960
Speaker 1: really trying to tell people on this program that I'm

519
00:33:23,000 --> 00:33:26,680
Speaker 1: not a doctor. But We've been sharing important health information regularly,

520
00:33:26,760 --> 00:33:31,480
Speaker 1: including some conflicting information, because the science and the scientists

521
00:33:31,560 --> 00:33:34,160
Speaker 1: and the great doctor Fauci keep changing their minds every

522
00:33:34,200 --> 00:33:38,920
Speaker 1: other day. But as far as I'm concerned, I want

523
00:33:38,960 --> 00:33:42,360
Speaker 1: you to study on your own. I want you know,

524
00:33:42,440 --> 00:33:45,000
Speaker 1: we've urged people. Okay, if they once they said wear

525
00:33:45,120 --> 00:33:48,640
Speaker 1: masks and be careful around older people, those with pre

526
00:33:48,720 --> 00:33:53,320
Speaker 1: existing conditions and compromised immune systems. Okay, if that's going

527
00:33:53,400 --> 00:33:55,800
Speaker 1: to say Grandma and grandpa, I'm not against it. I'm

528
00:33:55,840 --> 00:33:59,720
Speaker 1: pro science in every way, but I urge all of

529
00:33:59,760 --> 00:34:04,120
Speaker 1: you to seek out as many medical opinions as possible.

530
00:34:04,560 --> 00:34:07,600
Speaker 1: And we put people on this program I agree with

531
00:34:07,720 --> 00:34:12,400
Speaker 1: and somebody have some disagreement with, and I urge you know,

532
00:34:12,640 --> 00:34:16,560
Speaker 1: I'm not the doctor. I don't know your individual medical conditions.

533
00:34:17,680 --> 00:34:20,959
Speaker 1: But if you study on your own, and you read

534
00:34:21,040 --> 00:34:24,239
Speaker 1: the science and the medical opinions of as many people

535
00:34:24,320 --> 00:34:30,800
Speaker 1: as possible regarding therapeutics, the three vaccines available, then consult

536
00:34:30,880 --> 00:34:33,279
Speaker 1: with your own doctor, doctors, people you trust in the

537
00:34:33,320 --> 00:34:37,719
Speaker 1: medical profession, then make the best informed health decision for

538
00:34:38,080 --> 00:34:42,000
Speaker 1: you based on your unique medical condition. I'm a firm

539
00:34:42,040 --> 00:34:45,840
Speaker 1: believer in medical the right to medical privacy as well. Anyway,

540
00:34:45,920 --> 00:34:48,800
Speaker 1: doctor George Farid is back with us, doctor Brian Tyson,

541
00:34:49,160 --> 00:34:50,640
Speaker 1: and these are two guys that have been on the

542
00:34:50,719 --> 00:34:55,920
Speaker 1: front lines of COVID. Welcome doctor Farred, Welcome doctor Tyson.

543
00:34:56,960 --> 00:34:59,440
Speaker 1: Doctor Fred. How many people have you treated as it

544
00:34:59,520 --> 00:35:02,440
Speaker 1: relates to COVID, Well, thank you, Sean, thank you for

545
00:35:02,600 --> 00:35:07,279
Speaker 1: having me along with Brian Tyson. We I've treated over

546
00:35:07,360 --> 00:35:11,360
Speaker 1: eight hundred from in our area and then throughout the country.

547
00:35:11,600 --> 00:35:16,480
Speaker 1: And I continually get contacted by people who can't get

548
00:35:16,560 --> 00:35:21,320
Speaker 1: early treatment in their local and setting, which is really tragic.

549
00:35:21,440 --> 00:35:26,600
Speaker 1: And it all stems back to the colossal failure to

550
00:35:26,760 --> 00:35:31,319
Speaker 1: prioritize for early treatment fourteen months ago, thirteen months ago,

551
00:35:32,120 --> 00:35:36,040
Speaker 1: and the colossal failure. And I don't know if it's

552
00:35:36,120 --> 00:35:39,800
Speaker 1: dishonesty or something else, but for Fauci and others not

553
00:35:40,000 --> 00:35:44,440
Speaker 1: to recognize the efficacy of hydroxychloric when and certainly now

554
00:35:44,560 --> 00:35:49,920
Speaker 1: ivermectin with ivermectin and hydroxy cleric when together being an

555
00:35:50,239 --> 00:35:56,040
Speaker 1: extraordinarily effective early treatment. And so it's just heartbreaking. I

556
00:35:56,200 --> 00:35:58,880
Speaker 1: realized eight hundred, that's a good number. I wish I

557
00:35:58,960 --> 00:36:04,200
Speaker 1: could have treated eight And Brian gets great credit for

558
00:36:05,080 --> 00:36:08,120
Speaker 1: what he's done in his urgent care clinic, which should

559
00:36:08,120 --> 00:36:10,120
Speaker 1: have been the model and it should still should be

560
00:36:10,280 --> 00:36:14,400
Speaker 1: around our country for bringing in patients and getting them

561
00:36:14,480 --> 00:36:18,239
Speaker 1: on treatment if they're diagnosed. We have to address sick

562
00:36:18,320 --> 00:36:24,360
Speaker 1: patients now, masks and vaccines are always secondary, and the

563
00:36:24,600 --> 00:36:28,600
Speaker 1: sick people come first, and we have to continue to

564
00:36:28,680 --> 00:36:33,840
Speaker 1: prevent hospitalizations. But our treatment remains very effective for the

565
00:36:34,080 --> 00:36:38,440
Speaker 1: new variants, the contagious variants. And there's so many stories

566
00:36:38,480 --> 00:36:43,440
Speaker 1: I could recount, and I O'Brien can of the success

567
00:36:43,680 --> 00:36:46,680
Speaker 1: and the gratitude that patients have when they recover and

568
00:36:46,719 --> 00:36:49,720
Speaker 1: they're not in fear. But I could tell you doctor

569
00:36:50,200 --> 00:36:53,720
Speaker 1: Freed that in New York, in New York that basically

570
00:36:53,840 --> 00:36:57,000
Speaker 1: unless your oxygen goes below ninety, you're not getting admitted

571
00:36:57,000 --> 00:36:59,799
Speaker 1: to a hospital. Most people I know in New York

572
00:37:00,320 --> 00:37:03,680
Speaker 1: they actually get no treatment except your well, you know,

573
00:37:03,840 --> 00:37:06,799
Speaker 1: cause if you have a fever and and if your

574
00:37:06,840 --> 00:37:11,120
Speaker 1: oxygen level drops below ninety and then go to a hospital. Now,

575
00:37:11,400 --> 00:37:16,319
Speaker 1: usually the pattern has been respiratory problems start kicking at

576
00:37:16,360 --> 00:37:20,399
Speaker 1: what a day six and seven. You're you've been saying

577
00:37:20,480 --> 00:37:23,240
Speaker 1: that if you started on day one of your diagnosis,

578
00:37:23,800 --> 00:37:27,480
Speaker 1: that you would be much better off. Oh absolutely, but

579
00:37:27,600 --> 00:37:31,600
Speaker 1: even later it turns it around. We've had many examples

580
00:37:31,680 --> 00:37:34,880
Speaker 1: where they're into it ten to twelve, ten days, then

581
00:37:34,960 --> 00:37:39,319
Speaker 1: they're starting to get respiratory difficulty, and then they will

582
00:37:39,520 --> 00:37:42,640
Speaker 1: benefit from this this combination plus adding in as doctor

583
00:37:42,719 --> 00:37:47,359
Speaker 1: McCullough is described and as Brian speak because he's been

584
00:37:47,440 --> 00:37:50,640
Speaker 1: a lifesaver in this area. But you can add in

585
00:37:50,840 --> 00:37:55,080
Speaker 1: the monoclonel is certainly with the ro agents, and then

586
00:37:55,239 --> 00:37:58,759
Speaker 1: adding the cortical steroids and coaches seen in other and

587
00:37:58,920 --> 00:38:03,600
Speaker 1: inhale buds and they they will go through a really

588
00:38:03,760 --> 00:38:07,640
Speaker 1: rapid recovery even later. So that's that should be hammered

589
00:38:07,680 --> 00:38:10,719
Speaker 1: home and the mainstream media. I just talked to someone

590
00:38:10,840 --> 00:38:13,399
Speaker 1: on the street that was interested in what I was doing,

591
00:38:13,440 --> 00:38:15,839
Speaker 1: and he said he'd heard, he'd watch CNN. He'd never

592
00:38:15,920 --> 00:38:19,200
Speaker 1: heard anything of this. He said, oh, you're using remdeseviere

593
00:38:19,480 --> 00:38:22,799
Speaker 1: and I showed him that absolutely not. We don't want

594
00:38:22,840 --> 00:38:25,640
Speaker 1: them to have to get REMD severe. But anyway, it's

595
00:38:25,719 --> 00:38:29,920
Speaker 1: it's just it's getting too much, Sean, and I please,

596
00:38:30,080 --> 00:38:34,239
Speaker 1: Brian let me know, or you want to you want

597
00:38:34,239 --> 00:38:36,560
Speaker 1: to add to a doctor Varia saying thank you for

598
00:38:36,680 --> 00:38:39,480
Speaker 1: joining us. John. You know, we we've we've seen over

599
00:38:39,880 --> 00:38:43,280
Speaker 1: four thousand, eight hundred, almost forty nine hundred positive patients.

600
00:38:43,360 --> 00:38:46,160
Speaker 1: We have a one hundred percent success rate with anybody

601
00:38:46,200 --> 00:38:48,920
Speaker 1: who presents with symptoms in the first five days. We

602
00:38:49,040 --> 00:38:53,280
Speaker 1: have a ninety percent reduction mortality with anyone who's presented

603
00:38:53,400 --> 00:38:57,239
Speaker 1: after five days. Um, so the treatment definitely works. We've

604
00:38:57,280 --> 00:39:00,160
Speaker 1: been we've been using it since since the day one,

605
00:39:00,239 --> 00:39:04,239
Speaker 1: like doctor Freed said, and the success is unwavering. I mean,

606
00:39:04,280 --> 00:39:06,640
Speaker 1: there's just there's there's no doubt on my mind. And

607
00:39:06,800 --> 00:39:09,399
Speaker 1: then you know, you talked about the masks, right, these

608
00:39:09,480 --> 00:39:12,239
Speaker 1: masks and things and the problems that we're seeing with this.

609
00:39:12,640 --> 00:39:15,160
Speaker 1: What's what's interesting is Stanford did a study back in

610
00:39:15,239 --> 00:39:18,319
Speaker 1: November that got buried and the link has actually been

611
00:39:18,400 --> 00:39:20,960
Speaker 1: banned on a lot of the social media sites. They

612
00:39:21,040 --> 00:39:26,440
Speaker 1: looked at over four hundred thousand patients retrospectively and the

613
00:39:26,600 --> 00:39:29,920
Speaker 1: data quote the data suggest that both medical and non

614
00:39:30,040 --> 00:39:33,000
Speaker 1: medical face masks are ineffective to block human to human

615
00:39:33,080 --> 00:39:37,440
Speaker 1: transmission of viral and infectious diseases such as stars COVID

616
00:39:37,520 --> 00:39:41,520
Speaker 1: two supporting against the uses of face masks that's published

617
00:39:41,560 --> 00:39:45,239
Speaker 1: on the NIH dot gov website, but they've buried the

618
00:39:45,360 --> 00:39:47,920
Speaker 1: link so that you can't share it on social media.

619
00:39:48,920 --> 00:39:53,080
Speaker 1: It's one of the biggest lies that we've seen across America.

620
00:39:53,200 --> 00:39:56,320
Speaker 1: Like you said, it's a flip flop, and it's not

621
00:39:56,680 --> 00:40:01,280
Speaker 1: about science anymore. It's about control. And as we continue,

622
00:40:01,320 --> 00:40:04,839
Speaker 1: doctor George fred and doctor Brian Tyson are with us.

623
00:40:05,320 --> 00:40:08,040
Speaker 1: I've heard from more than a number of doctors that

624
00:40:08,160 --> 00:40:14,800
Speaker 1: Regeneron in particular has been tremendously effective at helping people

625
00:40:15,200 --> 00:40:18,560
Speaker 1: that have maybe brought had some of the more the

626
00:40:18,680 --> 00:40:24,080
Speaker 1: more or most severe symptoms, dramatic stories of turnaround, including

627
00:40:24,520 --> 00:40:27,600
Speaker 1: doctor Benjamin Carson. And we know it worked on President

628
00:40:27,680 --> 00:40:30,000
Speaker 1: Trump and I know other people that have had it

629
00:40:30,120 --> 00:40:34,360
Speaker 1: as well. And have you found the same results, doctor Tyson,

630
00:40:34,360 --> 00:40:37,400
Speaker 1: I'll ask you first. Yeah, So we use a combination

631
00:40:37,520 --> 00:40:40,200
Speaker 1: and this is where the whole there's no outpatient treatment

632
00:40:40,320 --> 00:40:43,840
Speaker 1: for COVID. I just can't believe it, because Regeneron is

633
00:40:43,880 --> 00:40:47,239
Speaker 1: an outpatient treatment. We've given it to our high risk

634
00:40:47,280 --> 00:40:51,919
Speaker 1: patients diabetes, morbid obesity. Anyone over the age of fifty five,

635
00:40:52,040 --> 00:40:55,480
Speaker 1: if you've got two or more commabilities, you qualify for Regeneron.

636
00:40:56,040 --> 00:40:58,200
Speaker 1: We send into the hospital, they get their treatment, and

637
00:40:58,280 --> 00:41:01,360
Speaker 1: then we also put them on our triple cocktail and

638
00:41:01,480 --> 00:41:05,040
Speaker 1: we've seen dramatic turns around in two to three days.

639
00:41:05,520 --> 00:41:09,719
Speaker 1: People with oxygen saturations as low as ninety percent have

640
00:41:09,920 --> 00:41:12,920
Speaker 1: turned around to ninety eight percent within twenty four hours.

641
00:41:13,840 --> 00:41:18,239
Speaker 1: It's being completely disregarded in replacement of these quote so

642
00:41:18,400 --> 00:41:21,680
Speaker 1: called vaccines. And what's interesting that we've seen in our

643
00:41:21,719 --> 00:41:24,279
Speaker 1: clinic recently, and I can tell you that doctor Peter

644
00:41:24,400 --> 00:41:28,560
Speaker 1: McCall has verified this as well, is in new cases.

645
00:41:29,200 --> 00:41:33,839
Speaker 1: We're seeing more new cases of COVID post vaccine than

646
00:41:33,920 --> 00:41:37,040
Speaker 1: we are seeing people who have not been vaccinated getting COVID.

647
00:41:37,560 --> 00:41:40,759
Speaker 1: What seems to be the issue is the COVID vaccine

648
00:41:40,880 --> 00:41:44,800
Speaker 1: seems to drop the people's immune system and during that

649
00:41:44,920 --> 00:41:47,840
Speaker 1: two to three week period they're being more susceptible to

650
00:41:48,000 --> 00:41:51,839
Speaker 1: actually getting the infection, and those are the patients who

651
00:41:51,880 --> 00:41:55,840
Speaker 1: are testing positive. We're seeing probably forty to fifty percent

652
00:41:55,920 --> 00:41:59,440
Speaker 1: of our COVID patients have already had either one or

653
00:41:59,520 --> 00:42:04,680
Speaker 1: two of their vaccines. Wow, I mean, it's just kind

654
00:42:04,719 --> 00:42:07,359
Speaker 1: of it's mind numbing to me. Doctor Free you want

655
00:42:07,360 --> 00:42:09,279
Speaker 1: to add to that, well, yeah, I would just say

656
00:42:09,360 --> 00:42:13,400
Speaker 1: that the monoclonal antibodies are a tremendous add on to

657
00:42:13,600 --> 00:42:18,120
Speaker 1: the patient therapy. As Brian has stated, the combination with

658
00:42:18,280 --> 00:42:22,560
Speaker 1: the ivymect and HCQ oral treatments makes it one hundred

659
00:42:22,600 --> 00:42:29,000
Speaker 1: percent success. But they're very underutilized. The government pays paid

660
00:42:29,239 --> 00:42:32,480
Speaker 1: these companies lily and we're generating eight hundred million dollars

661
00:42:32,640 --> 00:42:38,080
Speaker 1: or more, and they make the treatment available free. Patients

662
00:42:38,120 --> 00:42:42,400
Speaker 1: pay for the infusion cost. But regardless of the seventy

663
00:42:42,440 --> 00:42:46,319
Speaker 1: five are not used around the country. So people are

664
00:42:46,880 --> 00:42:51,480
Speaker 1: that I get contacted, they are not easily accessing it,

665
00:42:51,640 --> 00:42:54,600
Speaker 1: and so they go on our protocol and they do

666
00:42:54,840 --> 00:43:00,239
Speaker 1: very well. But it's it's also an issue of the

667
00:43:00,480 --> 00:43:04,160
Speaker 1: dispensing of this medica. Of these monoclone untibodies are the

668
00:43:04,320 --> 00:43:09,080
Speaker 1: access that hasn't been set up really suitably in my opinion.

669
00:43:09,520 --> 00:43:11,360
Speaker 1: But the fact that you know, we have all of

670
00:43:11,440 --> 00:43:14,600
Speaker 1: this with the track record that you both are describing,

671
00:43:14,840 --> 00:43:17,560
Speaker 1: and there's very little discussion about it. I'm not saying

672
00:43:17,600 --> 00:43:20,160
Speaker 1: people have to do it, but at least I can

673
00:43:20,239 --> 00:43:24,600
Speaker 1: tell you from my own experience that when I hear

674
00:43:24,719 --> 00:43:27,640
Speaker 1: people have it, and I mentioned these options that both

675
00:43:27,719 --> 00:43:33,640
Speaker 1: of you have been using, you know it's they've never

676
00:43:33,760 --> 00:43:35,839
Speaker 1: heard of it. Let me ask you one last question

677
00:43:35,920 --> 00:43:37,680
Speaker 1: on the other side of this break, if you can

678
00:43:37,920 --> 00:43:40,120
Speaker 1: stay with us just a minute longer, and it's more

679
00:43:40,120 --> 00:43:43,080
Speaker 1: about kids, and then we'll get to everybody's calls. Eight

680
00:43:43,200 --> 00:43:45,719
Speaker 1: hundred nine four one, Shauna is our number. If you

681
00:43:45,760 --> 00:43:48,600
Speaker 1: want to be a part of the program, Oh ma'am.

682
00:43:48,800 --> 00:43:53,000
Speaker 1: The tanking of the Oscars, the Academy Awards, it's unbelievable.

683
00:43:53,040 --> 00:43:55,800
Speaker 1: We'll get to that, Joe Concha and Louis Gohmert and

684
00:43:55,960 --> 00:43:57,960
Speaker 1: your calls eight hundred nine four one Shaun as we

685
00:43:58,040 --> 00:44:00,440
Speaker 1: continue h twenty five to the top of the eight

686
00:44:00,520 --> 00:44:02,360
Speaker 1: hundred and nine four one Sean, you want to be

687
00:44:02,400 --> 00:44:05,759
Speaker 1: a part of the program. One last question. I wanted

688
00:44:05,800 --> 00:44:08,960
Speaker 1: to get this in with doctor George Free, doctor Brian Tyson.

689
00:44:09,600 --> 00:44:12,040
Speaker 1: These both these guys have bothen on the front lines

690
00:44:12,080 --> 00:44:15,359
Speaker 1: of COVID. Doctor Fauci is not. They're out there, They're

691
00:44:15,440 --> 00:44:18,279
Speaker 1: dealing with real patients every day in the case of

692
00:44:18,560 --> 00:44:22,320
Speaker 1: you know, five thousand between them, over five thousand people,

693
00:44:22,640 --> 00:44:25,919
Speaker 1: and they come up with early treatment protocols that many

694
00:44:26,000 --> 00:44:28,440
Speaker 1: many states are not using at all. And you can

695
00:44:28,560 --> 00:44:31,760
Speaker 1: see the difference in a state like Florida, in Texas,

696
00:44:32,239 --> 00:44:37,080
Speaker 1: and then compare it to New York, New Jersey, California, Michigan.

697
00:44:37,520 --> 00:44:42,320
Speaker 1: Michigan's an unmitigated disaster with these variants now. And you know,

698
00:44:42,600 --> 00:44:45,839
Speaker 1: and of course a governor that says do what I say,

699
00:44:46,000 --> 00:44:48,319
Speaker 1: not what I do, and travels to Florida and her

700
00:44:48,360 --> 00:44:51,479
Speaker 1: husband's taken his boat out. But that's a separate issue

701
00:44:51,520 --> 00:44:54,879
Speaker 1: for a second day. This video has gone viral now.

702
00:44:55,080 --> 00:44:58,759
Speaker 1: For example, in Florida, kids have been in school since

703
00:44:58,920 --> 00:45:03,000
Speaker 1: last August. In New York City is still over nearly

704
00:45:03,000 --> 00:45:05,239
Speaker 1: six hundred thousand that have never been to school. This

705
00:45:05,440 --> 00:45:10,239
Speaker 1: Georgia mom frustrated blasting the school board in this one

706
00:45:10,320 --> 00:45:13,759
Speaker 1: particular case for the fact that they're kids that have

707
00:45:14,000 --> 00:45:17,400
Speaker 1: not had the problems of older people or people with

708
00:45:17,520 --> 00:45:22,960
Speaker 1: pre existing conditions or compromised immune systems or comorbidities, and

709
00:45:23,239 --> 00:45:26,799
Speaker 1: blasting them these kids and stuck in masks all day

710
00:45:26,920 --> 00:45:29,719
Speaker 1: and the impact that's having on them. Listen, every month

711
00:45:29,840 --> 00:45:32,400
Speaker 1: I come here and I hear the same thing social

712
00:45:32,560 --> 00:45:36,520
Speaker 1: emotional health. If you truly mean that, you would end

713
00:45:36,800 --> 00:45:43,000
Speaker 1: the mask requirement tonight. But it's April fifteenth, two twenty one,

714
00:45:43,239 --> 00:45:47,360
Speaker 1: and it's time take these masks off of my child.

715
00:45:49,719 --> 00:45:51,120
Speaker 1: And I know what I'm going to be met with.

716
00:45:51,760 --> 00:45:54,840
Speaker 1: But miss Taylor, the CDC, we did not vote for

717
00:45:55,000 --> 00:45:58,000
Speaker 1: people at the CDC. We did elect leaders who do

718
00:45:58,120 --> 00:46:01,200
Speaker 1: create policy. We elected the five of you. We chose

719
00:46:01,280 --> 00:46:03,839
Speaker 1: you to make difficult decisions for our children. We chose

720
00:46:03,920 --> 00:46:06,200
Speaker 1: you to make decisions that would be in our children's

721
00:46:06,239 --> 00:46:10,120
Speaker 1: best interest. In forcing five, six, seven, eight, and nine

722
00:46:10,200 --> 00:46:12,640
Speaker 1: year old little children to cover their noses in their

723
00:46:12,719 --> 00:46:16,480
Speaker 1: mouths where they breathe for seven hours a day, every

724
00:46:16,600 --> 00:46:18,759
Speaker 1: day for the last nine months for a virus that

725
00:46:18,880 --> 00:46:22,279
Speaker 1: you know doesn't affect them, that is not in their

726
00:46:22,400 --> 00:46:27,240
Speaker 1: best interest. And this has to stop. Defend our children.

727
00:46:27,719 --> 00:46:29,440
Speaker 1: My six year old can't come up here and say this.

728
00:46:30,040 --> 00:46:32,440
Speaker 1: It has to stop. Take these off of our children,

729
00:46:32,640 --> 00:46:37,320
Speaker 1: we continued, Doctor George Free, Doctor Brian Tyson, Doctor Tyson,

730
00:46:37,360 --> 00:46:39,040
Speaker 1: why don't we give you a first crack at that

731
00:46:40,040 --> 00:46:43,800
Speaker 1: young people. Although there was a story this weekend about

732
00:46:44,000 --> 00:46:47,320
Speaker 1: one of these variants emerging that is impacting people in

733
00:46:47,400 --> 00:46:51,480
Speaker 1: their thirties, not young kids in school. And I'm wondering

734
00:46:51,520 --> 00:46:55,279
Speaker 1: if you're concerned about the age difference, the shift that

735
00:46:55,600 --> 00:46:58,600
Speaker 1: we had not really been seeing in real numbers up

736
00:46:58,680 --> 00:47:02,239
Speaker 1: until just recently the variant. Yeah, so a couple of things.

737
00:47:02,360 --> 00:47:04,759
Speaker 1: I mean, you know, Number one, I have small kids

738
00:47:04,800 --> 00:47:07,719
Speaker 1: at home as well, and my six year old had

739
00:47:07,760 --> 00:47:11,440
Speaker 1: COVID nineteen. He had symptoms for about twelve hours and

740
00:47:11,640 --> 00:47:14,120
Speaker 1: that's about all. So the first thing we do know

741
00:47:14,440 --> 00:47:19,080
Speaker 1: is masking children is not healthy, both for their physical

742
00:47:19,200 --> 00:47:23,360
Speaker 1: health and both for their emotional health. Doctor Mark McDonald,

743
00:47:23,440 --> 00:47:26,719
Speaker 1: who's an adolescent psychiatrist that I spent the weekend over

744
00:47:28,600 --> 00:47:33,759
Speaker 1: this pass with, he's got great arguments on how the

745
00:47:33,920 --> 00:47:38,640
Speaker 1: emotional distress that this is creating amongst kids who look

746
00:47:38,719 --> 00:47:42,200
Speaker 1: for facial recognition. They look for reassurance from mom and

747
00:47:42,360 --> 00:47:45,239
Speaker 1: dad and from those around them that what they're doing

748
00:47:45,400 --> 00:47:48,840
Speaker 1: is correct versus what they're not doing being correct. And

749
00:47:48,960 --> 00:47:52,359
Speaker 1: with no facial expressions, they're not understanding what is good

750
00:47:52,440 --> 00:47:56,040
Speaker 1: behavior and what's bad behavior. So that's on the emotional side.

751
00:47:56,040 --> 00:47:59,440
Speaker 1: On the physical side, these masks are acting like fullmites.

752
00:48:00,000 --> 00:48:02,480
Speaker 1: It's no different than the doctor who wore his white

753
00:48:02,520 --> 00:48:06,040
Speaker 1: coat around rounds and never washed it. These kids don't

754
00:48:06,080 --> 00:48:08,600
Speaker 1: wash their masks all day long. They're in them. They

755
00:48:08,680 --> 00:48:12,680
Speaker 1: get moisture, they get dirt, they get bacteria, and they're

756
00:48:12,800 --> 00:48:15,680
Speaker 1: they're expected to wear them for six to eight hours

757
00:48:15,719 --> 00:48:18,359
Speaker 1: a day. What we're seeing in our clinic is an

758
00:48:18,440 --> 00:48:22,360
Speaker 1: increase in strepped cases with these kids. We're seeing increases

759
00:48:22,480 --> 00:48:27,480
Speaker 1: in bacterial pneumonia in these kids, and we're not seeing

760
00:48:27,760 --> 00:48:33,320
Speaker 1: any reduction or any really infection of COVID nineteen. Believe

761
00:48:33,360 --> 00:48:35,200
Speaker 1: it or not. Most of these kids who are getting

762
00:48:35,239 --> 00:48:39,560
Speaker 1: sick right now are getting coronavirus NL sixty three, which

763
00:48:39,719 --> 00:48:43,040
Speaker 1: is just a normal variant of the common cold. So

764
00:48:43,440 --> 00:48:47,680
Speaker 1: I hear variants with coronavirus, and I've always questioned this

765
00:48:47,840 --> 00:48:51,080
Speaker 1: a variant. Is it a variant of coronavirus nineteen or

766
00:48:51,239 --> 00:48:54,239
Speaker 1: is it a variant of the seven other coronaviruses that

767
00:48:54,320 --> 00:48:59,720
Speaker 1: we see every day. We're also seeing eat coli peaks

768
00:48:59,800 --> 00:49:02,160
Speaker 1: in the young kids as well, and I believe that

769
00:49:02,280 --> 00:49:05,640
Speaker 1: that has to do with a fecal oral transmission because

770
00:49:05,719 --> 00:49:09,080
Speaker 1: they're wearing these masks all day long, every day. Your

771
00:49:09,160 --> 00:49:12,439
Speaker 1: last thought, doctor free will give you the last word today. Well,

772
00:49:12,880 --> 00:49:16,240
Speaker 1: that's well stated by Brian, and that's exactly my feeling.

773
00:49:16,280 --> 00:49:21,520
Speaker 1: I agree with the Ladies of Speech and Georgia fully

774
00:49:22,080 --> 00:49:25,160
Speaker 1: and that what we need to do is focus on

775
00:49:25,840 --> 00:49:29,640
Speaker 1: early treatment, getting these sick, younger people on the treatment.

776
00:49:29,719 --> 00:49:32,800
Speaker 1: It's very effective against the variance. We want to prevent

777
00:49:32,920 --> 00:49:35,759
Speaker 1: the long COVID syndrome. We want to treat knock that

778
00:49:35,920 --> 00:49:39,560
Speaker 1: virus out. And that's what Fauci missed. And I'll never

779
00:49:39,680 --> 00:49:42,479
Speaker 1: forgiven for that, and I'll never forgive that task force

780
00:49:42,600 --> 00:49:45,640
Speaker 1: for what they inflicted on the world actually and not

781
00:49:45,800 --> 00:49:48,960
Speaker 1: just the United States. But we still have to battle.

782
00:49:49,040 --> 00:49:52,320
Speaker 1: We have five hundred thousand or more deaths that shouldn't

783
00:49:52,320 --> 00:49:56,160
Speaker 1: have happened, and we're getting more. And so we can

784
00:49:56,239 --> 00:49:59,680
Speaker 1: treat young kids if they become very symptomatic. The medicines

785
00:49:59,680 --> 00:50:03,800
Speaker 1: are very safe for them, and the masks and vaccines

786
00:50:03,800 --> 00:50:07,359
Speaker 1: are secondary. Well. I really appreciate you both being with us,

787
00:50:07,400 --> 00:50:15,520
Speaker 1: and I urge everybody to read a wide variety of

788
00:50:15,680 --> 00:50:19,719
Speaker 1: opinions and get the best the people I personally love

789
00:50:19,800 --> 00:50:22,280
Speaker 1: the people that are on the front lines actually dealing

790
00:50:22,400 --> 00:50:25,000
Speaker 1: with it. I don't like when I hear from people

791
00:50:25,040 --> 00:50:27,319
Speaker 1: and they tell me, yeah, they said, if it gets

792
00:50:27,400 --> 00:50:29,640
Speaker 1: bad and then call me. You know, you don't get

793
00:50:29,680 --> 00:50:32,600
Speaker 1: admitted to the hospital until your oxygen level, until you're

794
00:50:32,600 --> 00:50:35,600
Speaker 1: in deep distress. And I think that a lot of

795
00:50:35,680 --> 00:50:42,440
Speaker 1: the therapeutics have been underutilized, starting with regeneron mono colonial cocktails,

796
00:50:42,520 --> 00:50:45,719
Speaker 1: and I've remected and all these other things that both

797
00:50:45,800 --> 00:50:49,359
Speaker 1: of you have have mentioned. We appreciate you both being

798
00:50:49,400 --> 00:50:52,160
Speaker 1: with us though, Doctor Farid, thank you, Doctor Tyson, thank you,

799
00:50:52,680 --> 00:50:54,920
Speaker 1: Thank you. Sean, appreciate it. All right, eight hundred nine

800
00:50:55,000 --> 00:50:57,880
Speaker 1: for one, Seawan our number. All Right, We're gonna go

801
00:50:57,960 --> 00:51:01,000
Speaker 1: to uh Sandy's in Nevada. Hey, Sandy, how are you

802
00:51:01,120 --> 00:51:05,000
Speaker 1: glad you called? I think Sean, I just so appreciate

803
00:51:05,080 --> 00:51:07,800
Speaker 1: you taking my call. I love that you've been staying

804
00:51:08,000 --> 00:51:11,320
Speaker 1: up on the latest and bringing doctors that are on

805
00:51:11,400 --> 00:51:14,759
Speaker 1: the forefront and encouraging us to study, which is what

806
00:51:14,880 --> 00:51:18,279
Speaker 1: I've done since I had COVID about eight months ago.

807
00:51:18,760 --> 00:51:22,480
Speaker 1: And I have a doctor that I've consulted with, well,

808
00:51:22,800 --> 00:51:25,920
Speaker 1: he's my doctor. I see him and he agrees that

809
00:51:26,120 --> 00:51:28,680
Speaker 1: for me it would not be good to get the vaccine.

810
00:51:29,160 --> 00:51:32,800
Speaker 1: And so I loved the last time doctor Fleid and

811
00:51:32,920 --> 00:51:35,719
Speaker 1: doctor Tysum are on your call or on your show,

812
00:51:36,360 --> 00:51:39,239
Speaker 1: they recommend it for people that had I think it

813
00:51:39,280 --> 00:51:43,480
Speaker 1: was doctor Farid in particular, that had already survived COVID

814
00:51:44,080 --> 00:51:49,760
Speaker 1: that their immune system is the best defense, and already

815
00:51:49,880 --> 00:51:52,239
Speaker 1: having gone through it, and I've read studies about this,

816
00:51:52,440 --> 00:51:55,759
Speaker 1: that our T cells are different. They're trained to be

817
00:51:55,880 --> 00:52:00,560
Speaker 1: able to attack even a variant of COVID IT and

818
00:52:00,920 --> 00:52:04,000
Speaker 1: so I do not want to get the shot, the

819
00:52:04,120 --> 00:52:09,680
Speaker 1: experimental shot. Yet I wondered, I wanted to know from

820
00:52:09,760 --> 00:52:13,960
Speaker 1: them what they're recommending to their patients who maybe, like I,

821
00:52:14,200 --> 00:52:18,920
Speaker 1: have been harassed to get the shot and even threatened.

822
00:52:18,960 --> 00:52:21,800
Speaker 1: I mean, the threat is the passport and that I

823
00:52:21,880 --> 00:52:24,040
Speaker 1: may not be able to travel and my life may

824
00:52:24,080 --> 00:52:27,720
Speaker 1: be over. As I know, I'm worried about medical privacy

825
00:52:27,840 --> 00:52:30,120
Speaker 1: like you do. I can tell you this. Probably both

826
00:52:30,160 --> 00:52:31,880
Speaker 1: these doctors are going to kill me for saying this,

827
00:52:32,040 --> 00:52:34,799
Speaker 1: but I do know that they are taking calls from

828
00:52:34,840 --> 00:52:37,040
Speaker 1: people all over the country. If you want to, you know,

829
00:52:37,200 --> 00:52:41,880
Speaker 1: consult with them, and I do urge people to. You're

830
00:52:41,960 --> 00:52:45,960
Speaker 1: absolutely right. For example, if you recently had COVID, it's

831
00:52:46,600 --> 00:52:49,880
Speaker 1: very high likelihood that you're antibody count level is going

832
00:52:49,920 --> 00:52:53,759
Speaker 1: to be very high, and over time that will begin

833
00:52:53,840 --> 00:52:57,640
Speaker 1: to decline and maybe even be negligible. But the T

834
00:52:57,840 --> 00:53:01,400
Speaker 1: cell an a body memory mainz. As I understand it,

835
00:53:01,440 --> 00:53:04,200
Speaker 1: I'm speaking of layman terms here. I'm not a doctor,

836
00:53:04,360 --> 00:53:07,400
Speaker 1: but and I've talked to a lot of people like

837
00:53:07,520 --> 00:53:09,560
Speaker 1: you're right. We discussed that with doctor Freed in a

838
00:53:09,640 --> 00:53:13,040
Speaker 1: previous point. The saddest thing about all of this listening

839
00:53:13,120 --> 00:53:16,879
Speaker 1: to them, to me is what doctor Ross said when

840
00:53:16,920 --> 00:53:19,239
Speaker 1: we were having him on regularly, and that is when

841
00:53:19,320 --> 00:53:24,680
Speaker 1: politics and medicine intersect, politics always wins, and we've seen

842
00:53:24,760 --> 00:53:26,800
Speaker 1: that you can't even bring up Okay, well, this is

843
00:53:26,840 --> 00:53:29,000
Speaker 1: a possible answer, this is a possible answer. This is

844
00:53:29,040 --> 00:53:32,120
Speaker 1: a possible answer. You know, it's not that you fight

845
00:53:32,239 --> 00:53:35,800
Speaker 1: with the army you wish you had at during a pandemic.

846
00:53:35,880 --> 00:53:39,759
Speaker 1: You fight, you fight with the army that you do have.

847
00:53:40,640 --> 00:53:43,840
Speaker 1: And there was such an unwillingness, you know, the number

848
00:53:43,880 --> 00:53:48,920
Speaker 1: one premier expert on hydroxy chloric when, for example, doctor

849
00:53:49,080 --> 00:53:52,640
Speaker 1: Daniel Wallace, I mean it's been peer reviewed two hundred

850
00:53:52,680 --> 00:53:56,000
Speaker 1: and fifty papers or so, number one guy on rhumatoid

851
00:53:56,120 --> 00:54:02,640
Speaker 1: arthritis and lupus and he's anti malarial drugs said the

852
00:54:02,800 --> 00:54:05,359
Speaker 1: risk is nil. Okay, when they got when the top

853
00:54:05,480 --> 00:54:09,680
Speaker 1: guy that's been dispensing something for forty years without a

854
00:54:09,880 --> 00:54:14,360
Speaker 1: single complication to thousands and thousands and thousands of people.

855
00:54:15,000 --> 00:54:17,120
Speaker 1: You know, at that point, what have you got to

856
00:54:17,239 --> 00:54:21,280
Speaker 1: lose to in my point of view, And nobody wanted

857
00:54:21,320 --> 00:54:24,200
Speaker 1: to hear it. And then and the two studies that

858
00:54:24,360 --> 00:54:26,799
Speaker 1: went out in these medical journals were very harmful. They

859
00:54:26,840 --> 00:54:30,480
Speaker 1: had to be rescinded. I mean, these are prestigious medical

860
00:54:30,600 --> 00:54:35,360
Speaker 1: journals that had to pull back these early phony studies

861
00:54:35,680 --> 00:54:40,520
Speaker 1: from people that had a political agenda. Sad, but you

862
00:54:40,600 --> 00:54:43,080
Speaker 1: know what, But may you know these doctors I do

863
00:54:43,239 --> 00:54:46,240
Speaker 1: know spend time and they take calls from people around

864
00:54:46,280 --> 00:54:48,080
Speaker 1: the country, and they've helped a lot of different people,

865
00:54:48,160 --> 00:54:52,080
Speaker 1: even people that I know. And I think that, yes,

866
00:54:52,239 --> 00:54:55,800
Speaker 1: I think hearing a variety of medical opinions and making

867
00:54:56,400 --> 00:55:00,560
Speaker 1: a personal medical choice based on your very unique medical

868
00:55:00,680 --> 00:55:06,000
Speaker 1: condition has got to be based on knowledge and medical consultation.

869
00:55:06,080 --> 00:55:07,920
Speaker 1: I'm not a doctor. I can't tell everybody what to

870
00:55:08,000 --> 00:55:10,960
Speaker 1: do here I could. I mean, it seems like everybody

871
00:55:11,040 --> 00:55:14,600
Speaker 1: wants to know what's Hannity's opinion on this. I'm not

872
00:55:14,760 --> 00:55:17,600
Speaker 1: doctor Hannity. I mean, we used to do a segment

873
00:55:17,680 --> 00:55:20,640
Speaker 1: called doctor Hannity about relationships. But I'm not a doctor.

874
00:55:21,719 --> 00:55:24,640
Speaker 1: But we seek out on this program a variety of

875
00:55:24,760 --> 00:55:27,920
Speaker 1: viewpoints so that you can make up your make your

876
00:55:28,080 --> 00:55:31,759
Speaker 1: own informed decision, and you know, it's amazing. I get

877
00:55:31,840 --> 00:55:36,560
Speaker 1: criticized for it, but sounds like you're on the right track, Sandy. Okay, thanks,

878
00:55:36,680 --> 00:55:42,719
Speaker 1: doctor Sean. And the something that doctor Tyson said that

879
00:55:42,840 --> 00:55:47,440
Speaker 1: I really appreciated was that the drop in immune system

880
00:55:47,680 --> 00:55:51,320
Speaker 1: immune function after the vaccine is what they're seeing and

881
00:55:51,480 --> 00:55:55,839
Speaker 1: people then subsequently getting COVID who might not have had

882
00:55:55,840 --> 00:55:57,920
Speaker 1: they not had the vaccine. That I think that's what

883
00:55:58,040 --> 00:56:00,279
Speaker 1: I'm concerned about for me, is it it will drop

884
00:56:00,480 --> 00:56:03,960
Speaker 1: my immune system so that that T cell function that

885
00:56:04,080 --> 00:56:06,880
Speaker 1: I am so excited that I have now I may

886
00:56:07,200 --> 00:56:10,440
Speaker 1: have and it may make me more susceptible. What I

887
00:56:10,560 --> 00:56:12,759
Speaker 1: like about what I'm hearing from you is you've read

888
00:56:12,960 --> 00:56:17,480
Speaker 1: a lot, and it's obvious. Keep reading, keep talking to professionals,

889
00:56:17,600 --> 00:56:20,960
Speaker 1: get a variety of views, and then make your informed

890
00:56:21,000 --> 00:56:25,640
Speaker 1: decision based on your consultation with your doctor, based on

891
00:56:25,760 --> 00:56:29,880
Speaker 1: your unique medical condition. Okay, okay, thanks. The best advice

892
00:56:29,960 --> 00:56:34,360
Speaker 1: I can give. I'm trying to be responsible here. I

893
00:56:34,480 --> 00:56:36,600
Speaker 1: want I don't want to lose one person in this

894
00:56:36,760 --> 00:56:40,480
Speaker 1: audience ever. And this is a smart audience that listens

895
00:56:40,520 --> 00:56:45,200
Speaker 1: to talk radio right fact to our busy telephones. Russ

896
00:56:45,360 --> 00:56:48,600
Speaker 1: is in New York. What's up, Russ? How are you, sir? Afternoon, Sean,

897
00:56:48,680 --> 00:56:50,320
Speaker 1: and thank you so much for taking my call. I

898
00:56:50,400 --> 00:56:54,200
Speaker 1: appreciate everything that you do for America. Thank you. What's

899
00:56:54,200 --> 00:56:58,640
Speaker 1: going on? I was curious, with all the nonsense from

900
00:56:58,880 --> 00:57:03,080
Speaker 1: our current administration and Sleepy Joe and Chameleon Harris, whether

901
00:57:03,520 --> 00:57:09,799
Speaker 1: the Biden corruption and Hunter Biden laptop situation has gone

902
00:57:09,840 --> 00:57:13,680
Speaker 1: to a complete stop and anything new with John Durham,

903
00:57:13,719 --> 00:57:16,800
Speaker 1: who was you know, entrusted to do the right thing

904
00:57:16,880 --> 00:57:19,160
Speaker 1: for this country, and we don't hear it people. I

905
00:57:19,880 --> 00:57:23,560
Speaker 1: sadly now at this point in my life, have had

906
00:57:23,640 --> 00:57:26,680
Speaker 1: to conclude the something I never thought I'd have to

907
00:57:26,760 --> 00:57:31,600
Speaker 1: say is that we don't have any equal justice under

908
00:57:31,640 --> 00:57:36,560
Speaker 1: the law, equal application of our laws. And the short

909
00:57:36,640 --> 00:57:40,680
Speaker 1: answer is is that I've been briefed by people who

910
00:57:40,800 --> 00:57:47,000
Speaker 1: have have have currently the Hunter Biden laptop, have been

911
00:57:47,040 --> 00:57:49,840
Speaker 1: briefed on it. If it were anybody with the last

912
00:57:49,920 --> 00:57:52,360
Speaker 1: name Trump, all of the things that have not been

913
00:57:52,440 --> 00:57:57,120
Speaker 1: disclosed publicly would be disclosed. And the double standard the

914
00:57:57,160 --> 00:57:59,520
Speaker 1: same with Durham. I don't know what Durham is doing.

915
00:58:00,280 --> 00:58:03,320
Speaker 1: We do know that even the Inspector General report on

916
00:58:03,480 --> 00:58:08,720
Speaker 1: Harowitz talked. They were numerous referrals in that Inspector General's report.

917
00:58:09,320 --> 00:58:15,160
Speaker 1: We now know that Komey, Yates and even Rod Rosenstein others,

918
00:58:15,520 --> 00:58:17,800
Speaker 1: knowing what we know now, No, we never would have

919
00:58:17,920 --> 00:58:20,919
Speaker 1: signed the FISA warrant. Now we know that they knew

920
00:58:21,120 --> 00:58:25,280
Speaker 1: very early that Steele even told them themselves that they

921
00:58:25,360 --> 00:58:28,480
Speaker 1: heard it directly from him, that it wasn't verified, but

922
00:58:28,640 --> 00:58:31,120
Speaker 1: they continued to use it as the bulk of information

923
00:58:31,320 --> 00:58:34,120
Speaker 1: to spy on a president. Sad. I don't know what

924
00:58:34,240 --> 00:58:36,720
Speaker 1: else to tell you. You know, if you're a conservative,

925
00:58:37,080 --> 00:58:40,800
Speaker 1: spit on the sidewalk Jay walk arrested twenty years in jail.

926
00:58:41,080 --> 00:58:43,720
Speaker 1: You're a liberal, you get away with everything. Appreciate the

927
00:58:43,800 --> 00:58:46,680
Speaker 1: call eight hundred nine four one Sean. Stay right here

928
00:58:46,760 --> 00:58:50,680
Speaker 1: for our final news round up and Information Overload I

929
00:58:50,880 --> 00:58:53,800
Speaker 1: News round up in Information overload our eight hundred nine

930
00:58:53,880 --> 00:58:55,600
Speaker 1: four one sewn. You want to be a part of

931
00:58:55,680 --> 00:58:59,080
Speaker 1: the program. So I did not watch any of the

932
00:58:59,160 --> 00:59:03,720
Speaker 1: oscars last night, and looking at the aftermath, that's an

933
00:59:03,800 --> 00:59:08,640
Speaker 1: unmitigated disaster. I mean, they literally went from twenty twenty

934
00:59:08,680 --> 00:59:12,960
Speaker 1: and eighteen point one share thirty three in the demo

935
00:59:13,120 --> 00:59:19,000
Speaker 1: to eight point nine. I mean that it is a disaster. Now.

936
00:59:19,400 --> 00:59:24,960
Speaker 1: There was last week a producer of last year's Oscars,

937
00:59:25,120 --> 00:59:28,320
Speaker 1: speaking on the condition of anonymity, telling The New York

938
00:59:28,400 --> 00:59:32,280
Speaker 1: Times that minute by minute ratings post show. Their analysis

939
00:59:32,400 --> 00:59:37,400
Speaker 1: on ratings indicated that vast numbers of people were turning

940
00:59:37,440 --> 00:59:43,360
Speaker 1: off their television whenever these celebrities began opining on politics. Well,

941
00:59:43,760 --> 00:59:46,600
Speaker 1: from what I hear and all that I've read, apparently

942
00:59:47,120 --> 00:59:52,360
Speaker 1: that is happened last night. It was actually a list

943
00:59:52,480 --> 00:59:58,520
Speaker 1: on Breitbart of the eleven woke rants at the Oscars.

944
00:59:58,920 --> 01:00:01,840
Speaker 1: And you know, listen, you know what, I just don't

945
01:00:01,840 --> 01:00:03,600
Speaker 1: have any interest in these people. I don't care what

946
01:00:03,720 --> 01:00:06,040
Speaker 1: they say. I don't care what their opinions are. I

947
01:00:06,160 --> 01:00:09,280
Speaker 1: have no interest at all what they have to say.

948
01:00:10,840 --> 01:00:13,520
Speaker 1: Another thing, if you're paying attention to social media, it'll

949
01:00:13,520 --> 01:00:18,640
Speaker 1: be interesting to see how the big tech companies respond

950
01:00:18,720 --> 01:00:22,200
Speaker 1: to this. But they're what appears to be real cops.

951
01:00:23,160 --> 01:00:28,920
Speaker 1: Brust is an in squad cars that they are making

952
01:00:29,000 --> 01:00:31,840
Speaker 1: these fake calls and these videos. There's so many of

953
01:00:31,920 --> 01:00:34,320
Speaker 1: them that have been sent to me over the weekend.

954
01:00:34,440 --> 01:00:37,440
Speaker 1: I'll play one of them for you where it actually

955
01:00:38,040 --> 01:00:40,680
Speaker 1: they act. They act like, oh, there's about to be

956
01:00:40,720 --> 01:00:44,880
Speaker 1: a stabbing and they're calling Lebron James for advice considering

957
01:00:44,960 --> 01:00:47,320
Speaker 1: what he did last week. Listen to one of these

958
01:00:47,920 --> 01:00:51,880
Speaker 1: seventeen dispension arrived at that disturbance we have, Lebron called

959
01:00:51,920 --> 01:00:54,280
Speaker 1: myself phone right away. Please thank you. Excuse me, sir,

960
01:00:54,680 --> 01:00:58,480
Speaker 1: excuse me? No, can you put the knife down? Please? Sir? No, no, no, sir,

961
01:00:58,560 --> 01:01:01,920
Speaker 1: don't stab it? No, no, stop, hold on, hold on,

962
01:01:01,960 --> 01:01:06,160
Speaker 1: it's Lebron, Lebron. Hey, yeah, it's me again. Listen, I'm

963
01:01:06,200 --> 01:01:08,080
Speaker 1: out here at this disturbance call and there's a guy

964
01:01:08,200 --> 01:01:09,760
Speaker 1: trying to stab another guy with a knife. What do

965
01:01:09,760 --> 01:01:13,240
Speaker 1: you think I should do? Why does that matter? Okay,

966
01:01:13,600 --> 01:01:16,360
Speaker 1: well they're both black. One guy's trying to stab another

967
01:01:16,360 --> 01:01:20,040
Speaker 1: guy with a knife deadly force is completely justified. Uh huh.

968
01:01:20,880 --> 01:01:23,840
Speaker 1: I see, So you don't care if a black person

969
01:01:24,000 --> 01:01:26,360
Speaker 1: kills another black person, but you do care if a

970
01:01:26,440 --> 01:01:29,720
Speaker 1: white top kills a black person, even if he's doing

971
01:01:29,760 --> 01:01:31,920
Speaker 1: it to save the life of another black person. I mean,

972
01:01:32,040 --> 01:01:34,120
Speaker 1: it doesn't make a whole lot of sense. But then again,

973
01:01:34,160 --> 01:01:35,919
Speaker 1: you are really good at basketball, so I guess I'll

974
01:01:35,920 --> 01:01:39,880
Speaker 1: take your word for it, all right, yep, okay, all right,

975
01:01:39,920 --> 01:01:44,919
Speaker 1: thanks Lebron. Michael Jordan's the goat what nothing, I gotta go. Sorry, guys,

976
01:01:45,080 --> 01:01:48,120
Speaker 1: you're on your own. Good luck. I mean it's sad

977
01:01:48,640 --> 01:01:52,720
Speaker 1: because his cop last week in Ohio save the life

978
01:01:52,800 --> 01:01:55,520
Speaker 1: of an innocent girl that was unarmed, pinned to a

979
01:01:55,640 --> 01:01:59,080
Speaker 1: car as a knife was about to be thrust into

980
01:01:59,240 --> 01:02:03,280
Speaker 1: her by the assailant. And of course then Lebron James

981
01:02:03,360 --> 01:02:08,440
Speaker 1: made his comments anyway, joining us now is Joe Concha

982
01:02:08,920 --> 01:02:12,080
Speaker 1: to talk about, Well, first, all things media, mob and

983
01:02:12,200 --> 01:02:15,840
Speaker 1: big tech, and we appreciate you being back with us,

984
01:02:15,920 --> 01:02:19,640
Speaker 1: Joe Concha. Pretty amazing to me. The oscars fifty eight

985
01:02:19,760 --> 01:02:23,160
Speaker 1: percent decline, that is, you don't see that kind of decline.

986
01:02:23,400 --> 01:02:24,880
Speaker 1: You want to hear some numbers, John, You know I

987
01:02:24,960 --> 01:02:27,960
Speaker 1: love my numbers. And when you look back just nineteen

988
01:02:28,040 --> 01:02:31,680
Speaker 1: ninety eight, okay, not too long ago, cable are obviously,

989
01:02:32,320 --> 01:02:37,680
Speaker 1: and fifty seven million people tuned in to that broadcast

990
01:02:37,760 --> 01:02:40,400
Speaker 1: that's only had an actual host in Billy Crystal right

991
01:02:40,480 --> 01:02:43,360
Speaker 1: and Titanic is a big movie that year, even seven

992
01:02:43,480 --> 01:02:47,800
Speaker 1: years ago in twenty fourteen, forty million people tuned in

993
01:02:48,640 --> 01:02:51,480
Speaker 1: last night. They could even get ten million people to

994
01:02:51,600 --> 01:02:54,760
Speaker 1: tune in. So think about that forty seven million people

995
01:02:55,160 --> 01:02:59,200
Speaker 1: gone didn't watch, compared to ninety eight thirty million gone

996
01:02:59,280 --> 01:03:01,439
Speaker 1: compared to just seven years ago, when there are all

997
01:03:01,480 --> 01:03:04,080
Speaker 1: these options in terms of all the cable channels and

998
01:03:04,160 --> 01:03:06,880
Speaker 1: streaming and so on. So think about that for a moment.

999
01:03:06,960 --> 01:03:09,840
Speaker 1: That's how much this is getting rejected. Because this was

1000
01:03:10,000 --> 01:03:13,000
Speaker 1: a seeming pile of a hot mess and a dumpster fire.

1001
01:03:13,280 --> 01:03:16,640
Speaker 1: It wasn't funny, it was humorless. Most of the country

1002
01:03:16,720 --> 01:03:18,680
Speaker 1: is predisposition that they're going to be lecture too, so

1003
01:03:18,680 --> 01:03:20,680
Speaker 1: they didn't even bother tuning in the first place, and

1004
01:03:20,720 --> 01:03:22,800
Speaker 1: then they couldn't even organize it right when they give

1005
01:03:22,840 --> 01:03:25,560
Speaker 1: out best Actors to the great Anthony Hopkins, he's not

1006
01:03:25,680 --> 01:03:28,960
Speaker 1: even there to give a speech. Show nothing went right

1007
01:03:29,280 --> 01:03:32,200
Speaker 1: and they got what they deserved in terms of this horrible,

1008
01:03:32,600 --> 01:03:35,360
Speaker 1: horrible audience. That this used to be the most watch

1009
01:03:35,440 --> 01:03:38,440
Speaker 1: show after the Super Bowl. Now it couldn't even get

1010
01:03:38,480 --> 01:03:41,760
Speaker 1: ten million people. It's just comical at this point, except

1011
01:03:41,760 --> 01:03:43,880
Speaker 1: there was nothing comical that last sight. It was sad,

1012
01:03:44,120 --> 01:03:47,680
Speaker 1: pious and depressing. You know, it is unbelievable. This is

1013
01:03:47,720 --> 01:03:52,360
Speaker 1: an unmitigated disaster. I wonder if the golden error of

1014
01:03:52,440 --> 01:03:55,560
Speaker 1: Hollywood now has finally come to an end, if all

1015
01:03:55,600 --> 01:04:01,840
Speaker 1: of these varying platforms combined have now watered down the

1016
01:04:02,040 --> 01:04:07,040
Speaker 1: effect of, you know, creating the big Hollywood star, you know,

1017
01:04:07,240 --> 01:04:09,680
Speaker 1: the Tom Cruise. You know, I'll go back to the

1018
01:04:09,760 --> 01:04:14,040
Speaker 1: old days, the jajermy shirt or Mary Murray, you know

1019
01:04:14,200 --> 01:04:19,080
Speaker 1: those days and Carrie granted, all these great actors and actresses.

1020
01:04:19,680 --> 01:04:21,760
Speaker 1: I wonder if that's I wonder if that error is

1021
01:04:21,800 --> 01:04:25,480
Speaker 1: now completely over because you got Netflix, you got Prime, Amazon,

1022
01:04:25,680 --> 01:04:29,960
Speaker 1: you got Hulu, You've got you know, on demand everything.

1023
01:04:30,800 --> 01:04:32,880
Speaker 1: So I'm just wondering you think this is the end?

1024
01:04:32,920 --> 01:04:36,640
Speaker 1: I mean, for example, I'm watching a series now called

1025
01:04:36,760 --> 01:04:40,480
Speaker 1: Kingdom because I'm into mixed martial arts. And by the way,

1026
01:04:40,760 --> 01:04:43,400
Speaker 1: did you watch this weekend's fights? No, I didn't get

1027
01:04:43,400 --> 01:04:45,520
Speaker 1: to see him. Unfortunately. I actually had like a date

1028
01:04:45,640 --> 01:04:47,760
Speaker 1: night with my wife, which is something we haven't done

1029
01:04:47,760 --> 01:04:48,920
Speaker 1: it in a while. So I was actually out in

1030
01:04:48,960 --> 01:04:53,920
Speaker 1: a restaurant. It was incredible. But Chris widemand I'll probably

1031
01:04:54,000 --> 01:04:57,240
Speaker 1: show the video. So he makes a kick on his opponent,

1032
01:04:57,880 --> 01:05:03,360
Speaker 1: and interestingly this it happened to him years ago. But anyway,

1033
01:05:03,440 --> 01:05:06,920
Speaker 1: he snapped into his tibbin fib and it's just, oh,

1034
01:05:07,400 --> 01:05:10,880
Speaker 1: it's so brutal to watch Man. And these are kicks

1035
01:05:10,960 --> 01:05:13,640
Speaker 1: that I practice every day. It's funny, but I mean

1036
01:05:13,720 --> 01:05:16,720
Speaker 1: it's not funny. It's like harsh. It's like the humanity

1037
01:05:16,800 --> 01:05:19,160
Speaker 1: side of it is just awful. Yeah, I think we've

1038
01:05:19,160 --> 01:05:21,240
Speaker 1: stumbled onto a good analogy here when you say, you know,

1039
01:05:21,320 --> 01:05:23,720
Speaker 1: do you think it's dead now for big Hollywood? Will

1040
01:05:23,760 --> 01:05:25,800
Speaker 1: they ever had that big, glamorous night again when thirty

1041
01:05:25,880 --> 01:05:28,360
Speaker 1: forty fifty million people are tuning in? No? And I

1042
01:05:28,760 --> 01:05:31,920
Speaker 1: you made me think it's kind of like heavyweight boxing,

1043
01:05:32,160 --> 01:05:34,360
Speaker 1: right where you would have a heavyweight fight and you

1044
01:05:34,480 --> 01:05:37,360
Speaker 1: stopped everything that you're doing. Right when I was growing up,

1045
01:05:37,400 --> 01:05:39,880
Speaker 1: it was more like you know, Tyson holy Field or

1046
01:05:39,920 --> 01:05:41,280
Speaker 1: if you want to go back to you know, more

1047
01:05:41,280 --> 01:05:45,200
Speaker 1: of my dad's ered Ali or Frazier. And now you think, wow,

1048
01:05:45,360 --> 01:05:47,240
Speaker 1: what was the last time I even watched a heavyweight fight?

1049
01:05:47,280 --> 01:05:48,880
Speaker 1: And I think that's kind of like Hollywood now at

1050
01:05:48,920 --> 01:05:52,800
Speaker 1: this point, it's lost its appointment viewing aspect, because again,

1051
01:05:53,000 --> 01:05:56,000
Speaker 1: the movies are just so politically correct and they have

1052
01:05:56,160 --> 01:05:58,200
Speaker 1: to have diversity, and if they don't have diversity, and

1053
01:05:58,280 --> 01:06:00,400
Speaker 1: they won't even get nominated when it just was give

1054
01:06:00,440 --> 01:06:02,280
Speaker 1: me a good movie. I don't care who's in a black,

1055
01:06:02,360 --> 01:06:05,280
Speaker 1: white Asian. You give me a great movie, I'll watch it.

1056
01:06:05,400 --> 01:06:07,760
Speaker 1: I'm not thinking about quotas. And I think people are

1057
01:06:07,800 --> 01:06:09,560
Speaker 1: now rejecting it because the movies are trying to be

1058
01:06:09,640 --> 01:06:11,720
Speaker 1: too cute by half, by doing all these types of

1059
01:06:11,840 --> 01:06:15,160
Speaker 1: films that are politically correct instead of compelling. Yeah, I

1060
01:06:15,240 --> 01:06:18,040
Speaker 1: mean it's it's pretty unbelievable. Where do you think this

1061
01:06:18,200 --> 01:06:21,240
Speaker 1: ultimately ends up here? I mean, are we gonna have

1062
01:06:22,160 --> 01:06:25,520
Speaker 1: the release of movies now on demand and a movie

1063
01:06:25,640 --> 01:06:27,760
Speaker 1: theater is going to be a thing of the past. Look,

1064
01:06:27,800 --> 01:06:30,000
Speaker 1: when I was young, growing up and a little older

1065
01:06:30,080 --> 01:06:32,840
Speaker 1: than you, Joe Contra, But I mean my family used

1066
01:06:32,880 --> 01:06:35,280
Speaker 1: to go to drive in movie theaters. I loved it.

1067
01:06:35,360 --> 01:06:37,360
Speaker 1: I thought it was the coolest thing ever. You know,

1068
01:06:37,480 --> 01:06:40,160
Speaker 1: you pack the car, you put on the little speaker

1069
01:06:40,240 --> 01:06:43,440
Speaker 1: inside the car, and you watch the movie as a family.

1070
01:06:43,720 --> 01:06:48,080
Speaker 1: Usually I fell asleep. But those days are pretty much gone.

1071
01:06:48,080 --> 01:06:51,440
Speaker 1: There's a couple of drive in theaters that remain more

1072
01:06:51,480 --> 01:06:54,760
Speaker 1: of a novel novelty than anything else. Do you think

1073
01:06:54,880 --> 01:06:56,600
Speaker 1: movie theaters now are going to be a thing of

1074
01:06:56,640 --> 01:06:58,560
Speaker 1: the past and everything's going to be released and you

1075
01:06:58,640 --> 01:07:00,600
Speaker 1: can just watch it at home. I think it's a

1076
01:07:00,680 --> 01:07:03,880
Speaker 1: lot like what we see in sports and attendance dropping

1077
01:07:04,000 --> 01:07:06,440
Speaker 1: a bit in the Obviously, I'm not talking about, you know,

1078
01:07:06,440 --> 01:07:08,720
Speaker 1: a pandemic here, but let's go like back the twenty nineteen,

1079
01:07:08,960 --> 01:07:10,880
Speaker 1: where people are like, you know what, I could spend

1080
01:07:11,000 --> 01:07:13,200
Speaker 1: hundreds of dollars to sit in traffic and go to

1081
01:07:13,280 --> 01:07:14,840
Speaker 1: a game, and it's a nice experience, and maybe I

1082
01:07:14,880 --> 01:07:16,640
Speaker 1: don't want season tickets where I do that every night

1083
01:07:16,920 --> 01:07:20,200
Speaker 1: because at home I had this immersive experience. Now I

1084
01:07:20,320 --> 01:07:22,200
Speaker 1: was looking at I'm getting my basement readne I had

1085
01:07:22,200 --> 01:07:23,440
Speaker 1: a flood. It's a very long story, but I was

1086
01:07:23,480 --> 01:07:25,600
Speaker 1: looking at TV's and I'm like, what's a sixty five

1087
01:07:25,680 --> 01:07:28,240
Speaker 1: inch TV go for? These days? I was finding keyds

1088
01:07:28,280 --> 01:07:30,880
Speaker 1: and sixty five inches. I don't know. No, they're very inexpensive.

1089
01:07:30,960 --> 01:07:33,080
Speaker 1: I'm stupid enough I buy them when they first come out.

1090
01:07:33,240 --> 01:07:36,000
Speaker 1: Then they go down, they drop in price by eighty percent.

1091
01:07:36,680 --> 01:07:39,160
Speaker 1: One keyword REFERB. So I always go for the referb.

1092
01:07:39,200 --> 01:07:40,720
Speaker 1: I don't care if it's like a little bit used

1093
01:07:40,800 --> 01:07:42,560
Speaker 1: or whatever, that's fine. But the point is that I

1094
01:07:42,760 --> 01:07:46,000
Speaker 1: have that movie theater experience with sports or with movies

1095
01:07:46,280 --> 01:07:48,200
Speaker 1: now at home. I know it's not a big, big screen,

1096
01:07:48,400 --> 01:07:50,720
Speaker 1: but I got surround sound. And if you're watching something

1097
01:07:50,760 --> 01:07:52,760
Speaker 1: on a sixty five seventy five eighty five inch screen

1098
01:07:53,000 --> 01:07:55,640
Speaker 1: in your living room, then wow, that's a lot cheaper,

1099
01:07:55,760 --> 01:07:57,840
Speaker 1: it's a lot more convenient. You get a lot of

1100
01:07:57,880 --> 01:07:59,680
Speaker 1: your life back. And that I've got an eighty five

1101
01:07:59,720 --> 01:08:01,800
Speaker 1: inch my house and I'm gonna go to one hundred now,

1102
01:08:02,080 --> 01:08:04,600
Speaker 1: I mean, I love it. What did you think? I

1103
01:08:04,680 --> 01:08:09,120
Speaker 1: couldn't believe when I read this Oscars for two hundred

1104
01:08:09,160 --> 01:08:13,080
Speaker 1: and five thousand dollars gift bag, you know, swag as

1105
01:08:13,120 --> 01:08:17,559
Speaker 1: they call it, including a light pas suction, a spa retreat,

1106
01:08:17,800 --> 01:08:21,960
Speaker 1: three night trip to a secluded Swedish island. And by

1107
01:08:22,000 --> 01:08:23,960
Speaker 1: the way, I didn't see the mask wearing so much

1108
01:08:24,080 --> 01:08:26,920
Speaker 1: last night, did you? No? I thawt interviews where people

1109
01:08:26,920 --> 01:08:28,840
Speaker 1: who are like two inches from each other, you know,

1110
01:08:28,920 --> 01:08:31,080
Speaker 1: And then I turned on CNN and I see the

1111
01:08:31,200 --> 01:08:34,080
Speaker 1: Vice president Kamala Harris getting interviewed by Dana Bash and

1112
01:08:34,120 --> 01:08:36,519
Speaker 1: they're like fifteen feet apart, even though they're both back.

1113
01:08:36,680 --> 01:08:40,040
Speaker 1: I know. Now my favorite was as that Joe Biden

1114
01:08:40,120 --> 01:08:42,640
Speaker 1: doing the zoom call with world leaders, and he's the

1115
01:08:42,720 --> 01:08:46,720
Speaker 1: only one. He's in his own office, he's alone as

1116
01:08:46,760 --> 01:08:49,599
Speaker 1: he brought people in to write them notes to how

1117
01:08:49,640 --> 01:08:55,240
Speaker 1: to respond, which but probably is a distinct possibility, or

1118
01:08:55,240 --> 01:08:57,040
Speaker 1: if he even knew what day it was, somebody who's

1119
01:08:57,040 --> 01:09:00,840
Speaker 1: there to remind him. But he's the only world leader

1120
01:09:00,920 --> 01:09:03,479
Speaker 1: wearing the mask on a zoom call. That's the thing.

1121
01:09:03,520 --> 01:09:05,120
Speaker 1: And even you say, well, maybe there are people around

1122
01:09:05,120 --> 01:09:06,920
Speaker 1: and were in vaccinating. You think there's anybody hear the

1123
01:09:06,960 --> 01:09:09,719
Speaker 1: president of the United States that hasn't been vaccinated this pointment.

1124
01:09:09,760 --> 01:09:11,680
Speaker 1: Were in half the country already has been. But yeah,

1125
01:09:11,680 --> 01:09:13,720
Speaker 1: if you work there, I'm pretty sure you're prioritized in

1126
01:09:13,840 --> 01:09:15,760
Speaker 1: terms of getting this vaccinaton you probably when I went

1127
01:09:15,800 --> 01:09:20,679
Speaker 1: to interview the president then President Trump, I needed a picture.

1128
01:09:20,720 --> 01:09:23,040
Speaker 1: I d first to get into the White House, to

1129
01:09:23,200 --> 01:09:26,559
Speaker 1: get into whatever the event wherever we were doing the interview.

1130
01:09:27,479 --> 01:09:30,200
Speaker 1: That was number one, number two. First thing before you

1131
01:09:30,240 --> 01:09:33,120
Speaker 1: can even get around the president, you got your rapid

1132
01:09:33,200 --> 01:09:35,960
Speaker 1: COVID test, right And and that's the thing. I think

1133
01:09:36,240 --> 01:09:39,160
Speaker 1: this administration knows that COVID helped them win the White House.

1134
01:09:39,160 --> 01:09:41,679
Speaker 1: If there's no pandemic. That Donald Trump wins quite easily

1135
01:09:41,680 --> 01:09:43,840
Speaker 1: because you had a roaring economy and or at peace.

1136
01:09:43,960 --> 01:09:45,760
Speaker 1: Right when you have those two things going for you

1137
01:09:46,040 --> 01:09:49,280
Speaker 1: and you have a candidates as Biden was, yea, he

1138
01:09:49,439 --> 01:09:52,439
Speaker 1: was going to win quite easily. But now they know

1139
01:09:52,560 --> 01:09:54,320
Speaker 1: that COVID is kind of like their lifeline, like this

1140
01:09:54,400 --> 01:09:55,680
Speaker 1: helped us get in and we got to have this

1141
01:09:55,760 --> 01:09:57,599
Speaker 1: thing go on as long as possible. So he's wearing

1142
01:09:57,640 --> 01:10:00,760
Speaker 1: it on Zoom called Kamala Harris is saying, I'd go

1143
01:10:00,960 --> 01:10:03,840
Speaker 1: to Guatemala and Honduras in Mexico, but I can't right

1144
01:10:03,880 --> 01:10:06,080
Speaker 1: now because the COVID district get restrictions. Well wall, wait

1145
01:10:06,080 --> 01:10:08,879
Speaker 1: a minute, how does that work. You're fully vaccinated, your

1146
01:10:08,920 --> 01:10:11,559
Speaker 1: staff is fully vaccinated, and you're using COVID now as

1147
01:10:11,560 --> 01:10:13,400
Speaker 1: an excuse not to fix the problem at the border

1148
01:10:13,640 --> 01:10:16,280
Speaker 1: when you know that's no excuse whatsoever. Yet she traveled

1149
01:10:16,280 --> 01:10:18,240
Speaker 1: to something like what ten states in the past month,

1150
01:10:18,400 --> 01:10:20,560
Speaker 1: but you can't go to Texas because of COVID. So

1151
01:10:20,760 --> 01:10:24,160
Speaker 1: it's convenient. It's an excuse for this administration, and they'll

1152
01:10:24,200 --> 01:10:27,559
Speaker 1: wear that mask. You saw the president National Cemetery at

1153
01:10:27,680 --> 01:10:30,240
Speaker 1: Arlington and he's wearing a mask and there's not anybody

1154
01:10:30,280 --> 01:10:32,280
Speaker 1: within a thousand feet of him, and he knows those

1155
01:10:32,280 --> 01:10:34,479
Speaker 1: pictures are going to go all over the country and

1156
01:10:34,600 --> 01:10:37,400
Speaker 1: people are probably wondering, wait, if you took the vaccine,

1157
01:10:37,840 --> 01:10:42,040
Speaker 1: then why are you masked outside alone? That actually is

1158
01:10:42,080 --> 01:10:45,920
Speaker 1: what leads to vaccine hesitancy. So this is the administration

1159
01:10:45,960 --> 01:10:47,680
Speaker 1: obviously is multinus for all they can, but I think

1160
01:10:47,680 --> 01:10:49,040
Speaker 1: people are set up with it now. I think they're

1161
01:10:49,040 --> 01:10:52,120
Speaker 1: starting to see what a ruse the whole mask wearing

1162
01:10:52,200 --> 01:10:53,920
Speaker 1: thing after your VACA. One of the things that I

1163
01:10:54,000 --> 01:10:59,120
Speaker 1: think athletes have missed about sports and bringing politics into

1164
01:10:59,160 --> 01:11:03,080
Speaker 1: the NFL or the NBA or MLB, like they did

1165
01:11:03,840 --> 01:11:08,879
Speaker 1: in ripping unfairly away the All Star Game from Georgia,

1166
01:11:09,640 --> 01:11:13,080
Speaker 1: when in fact it is far more restrictive in terms

1167
01:11:13,120 --> 01:11:16,400
Speaker 1: of voting laws in Joe's Delaware, where he has represented

1168
01:11:16,400 --> 01:11:18,840
Speaker 1: the state of Delaware five hundred and ninety five years

1169
01:11:19,479 --> 01:11:23,480
Speaker 1: and never once lifted a finger to make it less restrictive.

1170
01:11:24,400 --> 01:11:28,400
Speaker 1: So much so much easier and convenient for everybody in

1171
01:11:28,560 --> 01:11:32,840
Speaker 1: Georgia to vote than in Delaware. But when athletes get

1172
01:11:32,920 --> 01:11:35,680
Speaker 1: involved politically, I don't care if it's Kaepernick taken a

1173
01:11:35,800 --> 01:11:39,479
Speaker 1: knee or the comments last week or Lebron James. The

1174
01:11:39,680 --> 01:11:42,920
Speaker 1: one thing if you if you attend sporting events as

1175
01:11:43,000 --> 01:11:46,680
Speaker 1: I have throughout my life, and I love them, I

1176
01:11:46,840 --> 01:11:52,240
Speaker 1: love them less now because of politics being injected into sports.

1177
01:11:53,120 --> 01:11:57,360
Speaker 1: And you have people of all backgrounds, all races coming

1178
01:11:57,439 --> 01:12:00,160
Speaker 1: together and they and there's there's a bond there are

1179
01:12:00,840 --> 01:12:04,680
Speaker 1: they're all fans of the same team, and there's a

1180
01:12:04,880 --> 01:12:09,639
Speaker 1: natural there's a moment where people are together and then

1181
01:12:09,680 --> 01:12:12,920
Speaker 1: not asking people what the politics are. And I find

1182
01:12:13,160 --> 01:12:15,960
Speaker 1: when I go to sports, I go there for entertainment,

1183
01:12:16,840 --> 01:12:19,720
Speaker 1: entertainment from the Latin to be distracted. I want to

1184
01:12:19,720 --> 01:12:22,320
Speaker 1: be distracted. I don't if I wanted politics, I wouldn't

1185
01:12:22,320 --> 01:12:25,200
Speaker 1: be at the ball game. And I do believe that

1186
01:12:25,320 --> 01:12:27,760
Speaker 1: the net effect of this is they're going to alienate

1187
01:12:27,920 --> 01:12:30,760
Speaker 1: more and more people. And I'm not talking about an

1188
01:12:30,840 --> 01:12:35,120
Speaker 1: organized boycott, but I'm far less interested in sports now

1189
01:12:35,240 --> 01:12:37,560
Speaker 1: as a result of all the politics brought into it.

1190
01:12:38,760 --> 01:12:40,320
Speaker 1: That's the thing. I mean. I live in New Jersey.

1191
01:12:40,360 --> 01:12:42,200
Speaker 1: It's a blue state, and my friends are all over

1192
01:12:42,280 --> 01:12:45,760
Speaker 1: the political spectrum right, and the ones that don't get

1193
01:12:45,800 --> 01:12:48,880
Speaker 1: along with me in terms of my perspective on X

1194
01:12:49,000 --> 01:12:51,360
Speaker 1: y Z politically, we just don't talk about it. But

1195
01:12:51,400 --> 01:12:54,040
Speaker 1: we'll talk about sports. That's always the commonality. And I

1196
01:12:54,360 --> 01:12:56,759
Speaker 1: might be looking across the table at this one individual

1197
01:12:56,840 --> 01:12:59,920
Speaker 1: who I know is a far left of Bernie Sanders,

1198
01:13:00,080 --> 01:13:02,640
Speaker 1: but we can talk about fantasy football and not just

1199
01:13:03,080 --> 01:13:05,919
Speaker 1: a beat. So yes, the escapeism that we keep losing everywhere,

1200
01:13:06,160 --> 01:13:08,880
Speaker 1: not just with sports, but look at late night comedy

1201
01:13:08,960 --> 01:13:10,960
Speaker 1: if you want to call that these days, right, I

1202
01:13:11,160 --> 01:13:15,280
Speaker 1: hear Seth Myers in and Stephen Colbert arguing why we

1203
01:13:15,360 --> 01:13:17,519
Speaker 1: need to blow up the filibuster. I'm like, oh wow,

1204
01:13:17,680 --> 01:13:20,240
Speaker 1: this is like Dean Martin, this is Carson, this is hilarious.

1205
01:13:20,280 --> 01:13:22,519
Speaker 1: I totally get it. No, I don't. Actually, if I

1206
01:13:22,640 --> 01:13:25,400
Speaker 1: want it that's about race and talk about politics, I'll

1207
01:13:25,400 --> 01:13:27,280
Speaker 1: watch to get in. But I'm not going to do

1208
01:13:27,520 --> 01:13:30,719
Speaker 1: that either, obviously. So yeah, that that's we've lost escape

1209
01:13:30,720 --> 01:13:33,000
Speaker 1: as an everywhere, late night comedy, sports, you name it.

1210
01:13:33,160 --> 01:13:35,800
Speaker 1: We can't escape it anymore. Woke is everywhere. But when

1211
01:13:35,800 --> 01:13:38,639
Speaker 1: you go walk, you go pro All right, Joe Concha,

1212
01:13:38,760 --> 01:13:41,000
Speaker 1: thanks so much for being with us, Fox News contributor

1213
01:13:41,479 --> 01:13:44,000
Speaker 1: media columnist for The Hill, eight hundred and nine poll

1214
01:13:44,040 --> 01:13:45,960
Speaker 1: one Shawn our number. We'll get to your calls when

1215
01:13:46,000 --> 01:13:49,080
Speaker 1: we come back twenty five to the top of the hour,

1216
01:13:49,200 --> 01:13:52,360
Speaker 1: eight hundred and nine four one sewn. If you want

1217
01:13:52,439 --> 01:13:54,000
Speaker 1: to be a part of the program. I went through

1218
01:13:54,040 --> 01:13:57,439
Speaker 1: this last week on the program. It doesn't matter what

1219
01:13:57,680 --> 01:14:03,559
Speaker 1: the issue is. George's voting law far more inclusive than

1220
01:14:03,640 --> 01:14:07,320
Speaker 1: the state of Delaware. Seventeen days you have early in

1221
01:14:07,520 --> 01:14:12,200
Speaker 1: person voting Delaware, Joe's state of that he's represented five

1222
01:14:12,360 --> 01:14:18,280
Speaker 1: hundred and ninety eight years. You get zero dropboxes every

1223
01:14:18,360 --> 01:14:23,160
Speaker 1: precinct in Georgia. In Delaware zero You need to give

1224
01:14:23,200 --> 01:14:26,479
Speaker 1: an excuse to even get an absentee ballot. Not the

1225
01:14:26,600 --> 01:14:31,400
Speaker 1: case in Georgia. Both states require voter ID. But if

1226
01:14:31,400 --> 01:14:33,679
Speaker 1: you pose that, if you pose the Green New Deal,

1227
01:14:33,800 --> 01:14:36,560
Speaker 1: if you pose court packing, if you oppose ending the

1228
01:14:36,720 --> 01:14:41,439
Speaker 1: legislative filibuster, if you oppose DC statehood, it's all racist.

1229
01:14:42,200 --> 01:14:45,000
Speaker 1: This has now gone way beyond every two years four

1230
01:14:45,120 --> 01:14:53,080
Speaker 1: years typical Democratic election year playbook. Republicans are racist, sexist, misogynist, homophobic, xenophobic,

1231
01:14:53,320 --> 01:14:57,040
Speaker 1: is lomophobic, now transphobic. They want dirty air and water,

1232
01:14:57,200 --> 01:15:01,440
Speaker 1: and some Republican wants to take Grandma Grandpa in a wheelchair,

1233
01:15:01,600 --> 01:15:04,040
Speaker 1: feed them dog food, cat food, and then throw them

1234
01:15:04,120 --> 01:15:08,639
Speaker 1: over a cliff list of Demander Jones calling Republicans racist

1235
01:15:09,160 --> 01:15:13,680
Speaker 1: if they opposed DC statehood. I have had enough of

1236
01:15:13,880 --> 01:15:18,520
Speaker 1: my colleague's racist insinuations that somehow the people of Washington,

1237
01:15:18,680 --> 01:15:24,559
Speaker 1: DC are incapable or even unworthy of our democracy. One

1238
01:15:24,600 --> 01:15:28,360
Speaker 1: Senate Republican said that DC wouldn't be a quote well rounded,

1239
01:15:28,560 --> 01:15:31,880
Speaker 1: working class state. I had no idea. There were so

1240
01:15:31,960 --> 01:15:35,040
Speaker 1: many syllables in the word white. One of my House

1241
01:15:35,120 --> 01:15:37,960
Speaker 1: Republican colleagues said that DC shouldn't be a state because

1242
01:15:38,000 --> 01:15:42,599
Speaker 1: the district doesn't have a landfill. My goodness, with all

1243
01:15:42,600 --> 01:15:45,320
Speaker 1: the racist trash my colleagues have brought to this debate,

1244
01:15:45,800 --> 01:15:47,880
Speaker 1: I can see why they're worried about having a place

1245
01:15:47,960 --> 01:15:53,000
Speaker 1: to put it. Wow, then you have Nancy Pelosi. Listened

1246
01:15:53,120 --> 01:15:57,720
Speaker 1: to her talking about passage of DC statehood. Now very

1247
01:15:57,760 --> 01:16:01,240
Speaker 1: different situation in the center, but does what she said.

1248
01:16:01,880 --> 01:16:04,439
Speaker 1: I rise, as Speaker of the House to join my

1249
01:16:04,600 --> 01:16:09,560
Speaker 1: colleagues on this momentous day for American democracy as we

1250
01:16:09,800 --> 01:16:15,280
Speaker 1: write an historic injustice by passing legislation to finally great

1251
01:16:15,600 --> 01:16:21,400
Speaker 1: grant Washington d C statehood, statehood for the District of

1252
01:16:21,520 --> 01:16:25,280
Speaker 1: Columbia is about showing respect for our democracy, for the

1253
01:16:25,280 --> 01:16:30,439
Speaker 1: American people, and for our constitution. That constitution begins with

1254
01:16:30,600 --> 01:16:35,080
Speaker 1: our preamble, we the people, setting out our founder's vision

1255
01:16:35,160 --> 01:16:38,320
Speaker 1: of a government of by and for the people, by

1256
01:16:38,439 --> 01:16:40,679
Speaker 1: and for the people. Here to give a quick response

1257
01:16:41,400 --> 01:16:44,280
Speaker 1: is our friend, Congressman Louis Gohmer to the great State

1258
01:16:44,320 --> 01:16:48,160
Speaker 1: of Texas. Louie recently, by the way, lost his dad,

1259
01:16:48,680 --> 01:16:51,679
Speaker 1: who he loved very much. And sorry about your paying

1260
01:16:51,760 --> 01:16:54,639
Speaker 1: my friend. I know at the end of March, March

1261
01:16:54,720 --> 01:16:57,360
Speaker 1: thirty first was twenty five years ago. I lost my

1262
01:16:57,520 --> 01:17:01,240
Speaker 1: dad and I never never day passes. I don't think

1263
01:17:01,240 --> 01:17:06,840
Speaker 1: about him exactly, and that's that'll be my situation twenty

1264
01:17:06,880 --> 01:17:09,679
Speaker 1: five years from now too. And thank you for Sean.

1265
01:17:09,800 --> 01:17:12,519
Speaker 1: You're a true friend. I appreciate it. One of the heart.

1266
01:17:12,640 --> 01:17:14,320
Speaker 1: It doesn't matter how old you are when you lose

1267
01:17:14,400 --> 01:17:17,479
Speaker 1: a parent, it doesn't matter. It hurts. It hurts like

1268
01:17:17,600 --> 01:17:21,400
Speaker 1: hell it does. Yep, it does. He's a good man.

1269
01:17:23,080 --> 01:17:26,760
Speaker 1: I wish that's what we had all over Congress, and

1270
01:17:27,160 --> 01:17:31,360
Speaker 1: that's not the case. Unbelievable the way they toss around

1271
01:17:31,439 --> 01:17:34,599
Speaker 1: the term racist. You know, we were told that if

1272
01:17:34,760 --> 01:17:39,600
Speaker 1: you didn't support DC becoming a state. You were not

1273
01:17:39,800 --> 01:17:45,680
Speaker 1: only racist, but you supported taxation without representation. Well, this

1274
01:17:45,920 --> 01:17:50,719
Speaker 1: is nothing about race, it's about the Constitution. It's about

1275
01:17:51,520 --> 01:17:57,000
Speaker 1: also just being an honest federal government. The land came

1276
01:17:57,120 --> 01:18:01,160
Speaker 1: from Virginia and from Maryland for the purpose of creating

1277
01:18:01,360 --> 01:18:05,559
Speaker 1: a federal unclave that would never be part of any state,

1278
01:18:05,720 --> 01:18:09,360
Speaker 1: never be inside a state, never be inside a city.

1279
01:18:10,280 --> 01:18:13,439
Speaker 1: It would be a federal unclaved so that no state

1280
01:18:13,600 --> 01:18:18,000
Speaker 1: and no city could ever try to blackmail or extort

1281
01:18:18,320 --> 01:18:21,640
Speaker 1: things out of the Congress or the White House. And

1282
01:18:22,080 --> 01:18:27,799
Speaker 1: these people have just completely rewritten history. This is about

1283
01:18:28,160 --> 01:18:31,880
Speaker 1: preserving the Constitution. And if they were going to make

1284
01:18:32,000 --> 01:18:34,960
Speaker 1: DC into a state, you first have to cede it

1285
01:18:35,200 --> 01:18:39,679
Speaker 1: back to Maryland and then ask Maryland if they're okay

1286
01:18:39,800 --> 01:18:42,920
Speaker 1: with carving that state out, and then we deal with

1287
01:18:43,040 --> 01:18:45,599
Speaker 1: it from there. But let me tell you, the people

1288
01:18:45,800 --> 01:18:51,519
Speaker 1: that believe in taxation without representation are the Democrats. And

1289
01:18:51,840 --> 01:18:53,800
Speaker 1: when I first got to DC and I saw in

1290
01:18:53,920 --> 01:18:58,040
Speaker 1: the license plate taxation without representation, I'm going, really, what's this?

1291
01:18:58,800 --> 01:19:01,759
Speaker 1: And then I find out there is no federal territory

1292
01:19:02,160 --> 01:19:05,960
Speaker 1: Puerto Rico, Guam, all of our territories do not pay

1293
01:19:06,040 --> 01:19:09,439
Speaker 1: a dime of federal income tax because they don't elect

1294
01:19:09,479 --> 01:19:13,760
Speaker 1: a full voting representative, which is DC's case. DC is

1295
01:19:13,920 --> 01:19:17,920
Speaker 1: being treated unfairly. And the solution is either have a

1296
01:19:18,040 --> 01:19:21,800
Speaker 1: constitutional amendment to make them a state or a constitutional

1297
01:19:21,800 --> 01:19:24,479
Speaker 1: amendment to give them a representative, which was tried in

1298
01:19:24,680 --> 01:19:29,400
Speaker 1: nineteen seventy eight unsuccessfully, or you pass the bill. I've

1299
01:19:29,479 --> 01:19:32,040
Speaker 1: been trying to get a Democrat to sign on too.

1300
01:19:32,320 --> 01:19:37,520
Speaker 1: None will that ends federal income tax for DC residents.

1301
01:19:37,720 --> 01:19:40,760
Speaker 1: That is the fair thing to do. Got a bunch

1302
01:19:40,800 --> 01:19:45,200
Speaker 1: of Republicans supporting, but Eleanor Holmes Norton will not support

1303
01:19:45,360 --> 01:19:50,880
Speaker 1: ending taxation for our constituents, nor will Pelosi or City Howyer.

1304
01:19:51,200 --> 01:19:55,760
Speaker 1: So it's really pretty lame. The accusations they're throwing at us.

1305
01:19:56,280 --> 01:19:59,800
Speaker 1: You know, it's pretty unbelievable. Okay, but we're very close.

1306
01:20:00,360 --> 01:20:02,800
Speaker 1: For the Republicans have a great shot in twenty twenty

1307
01:20:02,800 --> 01:20:04,960
Speaker 1: two and taken back the House. I think you'd agree.

1308
01:20:05,600 --> 01:20:07,160
Speaker 1: And if you want to, I guess, if we all

1309
01:20:07,240 --> 01:20:10,600
Speaker 1: want to, Bellweather, what the next election presidential election is

1310
01:20:10,640 --> 01:20:12,479
Speaker 1: going to look like in twenty twenty four, we could

1311
01:20:12,520 --> 01:20:15,680
Speaker 1: look at the Senate, not only the House of Republicans

1312
01:20:15,720 --> 01:20:19,560
Speaker 1: would have take back the House. There is you know,

1313
01:20:20,439 --> 01:20:23,439
Speaker 1: now we're seeing, for example, that there's a very strong

1314
01:20:23,560 --> 01:20:27,760
Speaker 1: possibility that there's gonna be a lot of redistricting, a

1315
01:20:27,840 --> 01:20:30,599
Speaker 1: lot of seats picked up by states like Florida and Texas,

1316
01:20:31,000 --> 01:20:35,120
Speaker 1: seats lost in California, seats lost in states like New

1317
01:20:35,200 --> 01:20:39,120
Speaker 1: York and elsewhere. That's gonna be interesting to watch. And

1318
01:20:39,439 --> 01:20:42,200
Speaker 1: but then you've got in the Senate Florida, you got

1319
01:20:42,280 --> 01:20:47,080
Speaker 1: North Carolina, Georgia, New Hampshire, You've got Ohio, you got Wisconsin,

1320
01:20:47,240 --> 01:20:50,639
Speaker 1: you got Arizona. I mean, these are big Senate races

1321
01:20:50,760 --> 01:20:55,080
Speaker 1: that we're gonna have in twenty twenty two. Yep, you're right.

1322
01:20:55,680 --> 01:21:01,320
Speaker 1: And in that regard, if the Democrats were successful in

1323
01:21:02,160 --> 01:21:05,960
Speaker 1: what I believe though the arts unconstitutional making DC a

1324
01:21:06,240 --> 01:21:10,560
Speaker 1: state in the method they are trying, then for the

1325
01:21:10,680 --> 01:21:14,679
Speaker 1: first time, I would have to entertain what many Texans

1326
01:21:14,760 --> 01:21:18,240
Speaker 1: have talked about for over a hundred years. And that

1327
01:21:18,400 --> 01:21:21,320
Speaker 1: goes back to the joint resolution that brought Texas in

1328
01:21:21,520 --> 01:21:25,719
Speaker 1: as a state. It said that in Texas, basically Texas

1329
01:21:25,800 --> 01:21:29,080
Speaker 1: sole discretion, it could divide up into as many as

1330
01:21:29,200 --> 01:21:32,840
Speaker 1: five different states. Sean it may be time to go

1331
01:21:33,000 --> 01:21:36,080
Speaker 1: back and look at actually doing that. If they're going

1332
01:21:36,240 --> 01:21:40,640
Speaker 1: to jerryman of the country by creating new states that

1333
01:21:40,760 --> 01:21:43,720
Speaker 1: were never intended to be such, Yeah, well we're going

1334
01:21:43,760 --> 01:21:46,640
Speaker 1: to have to wait. I've read that the state of

1335
01:21:46,800 --> 01:21:51,679
Speaker 1: Texas in your constitution. Is this true that Texas would

1336
01:21:51,720 --> 01:21:55,160
Speaker 1: have the right to break into five separate states. They've

1337
01:21:55,280 --> 01:22:00,320
Speaker 1: maintained that right. Is that true? That's exactly right. It's

1338
01:22:00,680 --> 01:22:04,800
Speaker 1: it's a matter well but comment. I'm not suggesting that happen,

1339
01:22:04,880 --> 01:22:10,680
Speaker 1: but I mean, that's a fascinating it is. If the Democrats,

1340
01:22:11,600 --> 01:22:14,160
Speaker 1: you know, go nuclear and they try and get four

1341
01:22:14,280 --> 01:22:17,240
Speaker 1: Senate seats that they believe will be democratic in perpetuity,

1342
01:22:17,680 --> 01:22:21,120
Speaker 1: that might be a way for Republicans to keep I

1343
01:22:21,200 --> 01:22:24,560
Speaker 1: don't know, some balance in the US Senate. And it

1344
01:22:24,720 --> 01:22:28,840
Speaker 1: absolutely would be constitutional. It was part of the effort

1345
01:22:28,920 --> 01:22:32,200
Speaker 1: that brought Texas into the Union. It's in the federal law,

1346
01:22:32,640 --> 01:22:35,599
Speaker 1: it's part of the state law, and it's they could

1347
01:22:35,680 --> 01:22:39,160
Speaker 1: divide up. Texas could divide up into as many as five,

1348
01:22:39,240 --> 01:22:41,240
Speaker 1: it could be less, it could be up to five,

1349
01:22:41,880 --> 01:22:47,240
Speaker 1: and you know, you could create a five different states

1350
01:22:47,439 --> 01:22:52,920
Speaker 1: that might end up being having eight Republican senators and

1351
01:22:53,200 --> 01:22:57,080
Speaker 1: two Democrat senators. Fascinating. All right, well listen, I'm sorry

1352
01:22:57,120 --> 01:22:59,640
Speaker 1: again about your dad. I'd love to just stay the

1353
01:22:59,720 --> 01:23:02,720
Speaker 1: United States of America and follow the Constitution and not

1354
01:23:02,880 --> 01:23:06,599
Speaker 1: the power grab, you know, the court packing DC, Puerto

1355
01:23:06,680 --> 01:23:11,200
Speaker 1: Rico statehood ending, the legislative filibuster and all the other

1356
01:23:11,439 --> 01:23:17,160
Speaker 1: you know, using executive orders and reconciliation and bypassing and

1357
01:23:17,400 --> 01:23:19,479
Speaker 1: a coe will branch of government. I prefer we actually

1358
01:23:19,520 --> 01:23:22,000
Speaker 1: do with the old fashioned and constitutional way, Louis. But

1359
01:23:22,080 --> 01:23:24,759
Speaker 1: thanks for being with us. Thank you for love talking

1360
01:23:24,840 --> 01:23:26,559
Speaker 1: to you my friends. Thank you all right, my friend,

1361
01:23:26,640 --> 01:23:29,320
Speaker 1: thank you hanging there chat in Texas. What's up? Chat?

1362
01:23:29,360 --> 01:23:32,880
Speaker 1: How are you? Hey? Sean from Long Island, New York

1363
01:23:32,920 --> 01:23:34,880
Speaker 1: and one of your listeners on the radio. It's good

1364
01:23:34,880 --> 01:23:37,360
Speaker 1: to talk to you on the radio. Good to talk

1365
01:23:37,400 --> 01:23:41,680
Speaker 1: to you. But that's Lenda more than me, right, It's

1366
01:23:41,680 --> 01:23:44,120
Speaker 1: good to talk to you. Okay, boys, bours, that's what

1367
01:23:44,280 --> 01:23:47,400
Speaker 1: she says, bos boys boys. Okay. I'm glad I got

1368
01:23:47,400 --> 01:23:49,120
Speaker 1: to have that aspreak. You're with you to start off

1369
01:23:49,160 --> 01:23:54,360
Speaker 1: this Monday, you know, because of unfortunate situations or not situation,

1370
01:23:54,439 --> 01:23:58,360
Speaker 1: but things that have happened some shootings, Uh, some police

1371
01:23:58,400 --> 01:24:01,320
Speaker 1: involvement what have you of? This has seems to take

1372
01:24:01,320 --> 01:24:03,920
Speaker 1: in a little bit of a light on the whole

1373
01:24:03,960 --> 01:24:10,240
Speaker 1: debacle of Andrew Cuomo's whole situation ship show, as you

1374
01:24:10,280 --> 01:24:15,600
Speaker 1: would say, on both his sexual allegate, sexual harassment allegations

1375
01:24:15,640 --> 01:24:18,200
Speaker 1: and also the nursing home. The reason why I say this,

1376
01:24:18,439 --> 01:24:21,400
Speaker 1: it's such a huge deal, and it seems that because

1377
01:24:21,479 --> 01:24:26,680
Speaker 1: of big unfortunate circumstances has taken a little bit of

1378
01:24:26,800 --> 01:24:31,320
Speaker 1: a lesser toll or not much in the news deal

1379
01:24:31,479 --> 01:24:35,200
Speaker 1: anything unlike the latest if there's any more, because he

1380
01:24:35,360 --> 01:24:38,320
Speaker 1: definitely does not need to get a pass. Look, I mean,

1381
01:24:38,600 --> 01:24:41,000
Speaker 1: I'm just being very frank here, and I said it

1382
01:24:41,080 --> 01:24:43,920
Speaker 1: earlier in the program. If you're a conservative and you

1383
01:24:44,040 --> 01:24:47,479
Speaker 1: spit on the sidewalk or your jaywalk, you're probably gonna

1384
01:24:47,600 --> 01:24:49,360
Speaker 1: end up going to jail for twenty years of your

1385
01:24:49,400 --> 01:24:54,400
Speaker 1: life if you're a Democrat, even if the Inspector General

1386
01:24:55,439 --> 01:24:59,840
Speaker 1: finds reason that in fact, there should be a refer

1387
01:25:00,040 --> 01:25:03,439
Speaker 1: role for lying to Congress. Oh, Roger Stone got twenty

1388
01:25:03,720 --> 01:25:08,640
Speaker 1: guys in tactical gear. Tactical gear, frogmen, guns drawn, pre

1389
01:25:08,840 --> 01:25:13,719
Speaker 1: dawn rage CNN cameras. What was the chart lying to Congress,

1390
01:25:14,520 --> 01:25:16,519
Speaker 1: and they want to put they want to put Manna

1391
01:25:16,600 --> 01:25:20,800
Speaker 1: fort roger Stone and Papadopoulos and all these guys away

1392
01:25:20,840 --> 01:25:22,720
Speaker 1: for the rest of their lives, so they'd all die

1393
01:25:22,800 --> 01:25:27,080
Speaker 1: in prison. And it's unbelievable and nothing happens. There's this

1394
01:25:27,320 --> 01:25:30,760
Speaker 1: massive double standard. So if that holds true in New York, yeah,

1395
01:25:30,840 --> 01:25:33,120
Speaker 1: Cuomo's gonna get a pass. Will he get reelected? I

1396
01:25:33,160 --> 01:25:35,920
Speaker 1: have no idea. Has already been elected three times? His

1397
01:25:36,080 --> 01:25:39,760
Speaker 1: popularity is you know, he's way underwater now. But it

1398
01:25:39,800 --> 01:25:43,040
Speaker 1: wouldn't shock me if the state of New York voted

1399
01:25:43,120 --> 01:25:45,760
Speaker 1: for this guy again. Wouldn't shock me one bit. Right,

1400
01:25:45,920 --> 01:25:47,719
Speaker 1: it's going to be a real flap in the face

1401
01:25:47,840 --> 01:25:50,920
Speaker 1: to the me too movement and Democrats are supposed to

1402
01:25:50,920 --> 01:25:53,960
Speaker 1: be a voice for the champion for women. But enough

1403
01:25:54,040 --> 01:25:57,679
Speaker 1: about that. Speaking about Texas, you just spoke to Louie Gomert.

1404
01:25:57,760 --> 01:26:00,400
Speaker 1: I'm in Texas, and Sean, I know when you get

1405
01:26:00,439 --> 01:26:02,720
Speaker 1: to a later stage in your life you want to

1406
01:26:02,760 --> 01:26:05,640
Speaker 1: have a ranch. Well, best of my knowledge, you have

1407
01:26:05,760 --> 01:26:09,040
Speaker 1: a pretty good relationship with our former governor Rick Perry.

1408
01:26:09,400 --> 01:26:11,800
Speaker 1: Now have a great relationship with him. I like him

1409
01:26:11,840 --> 01:26:14,719
Speaker 1: a lot. He made me an honorary Texan once exactly,

1410
01:26:14,800 --> 01:26:17,200
Speaker 1: he's a fellow Texas ak you like me, and he

1411
01:26:17,280 --> 01:26:19,800
Speaker 1: could put you in he asked connections. I'm just letting

1412
01:26:19,840 --> 01:26:22,160
Speaker 1: you know because if you have a toss up between

1413
01:26:22,200 --> 01:26:24,920
Speaker 1: a ranch in Montana, a ranch in Texas, or no

1414
01:26:25,080 --> 01:26:28,200
Speaker 1: ranch but live in Florida, so you have options. Galore,

1415
01:26:28,520 --> 01:26:31,280
Speaker 1: Sean Hannity, you're my favorite, along with Trump and some

1416
01:26:31,400 --> 01:26:34,200
Speaker 1: notable others. We would love you down here in Texas.

1417
01:26:34,439 --> 01:26:38,080
Speaker 1: But if I tell you this, I gotta get out

1418
01:26:38,120 --> 01:26:41,759
Speaker 1: of here. It's they're gonna raise New York State's tax

1419
01:26:41,920 --> 01:26:46,240
Speaker 1: to fifteen percent income tax, and I can't at this point.

1420
01:26:46,640 --> 01:26:51,519
Speaker 1: And the incompetence is beyond you can't even begin to

1421
01:26:51,640 --> 01:26:57,520
Speaker 1: comprehend it. Florida has and Texas both have better infrastructure,

1422
01:26:57,840 --> 01:27:00,880
Speaker 1: and they spend less than half of what the State

1423
01:27:00,920 --> 01:27:03,640
Speaker 1: of New York spense. The infrastructure of New York is

1424
01:27:03,720 --> 01:27:10,839
Speaker 1: it's dilapidated and falling down, and just it's it's a disgrace, waste, fraud, abuse,

1425
01:27:11,040 --> 01:27:15,320
Speaker 1: corruption in Albany, It's disgraceful. I've never seen anything like it.

1426
01:27:16,000 --> 01:27:20,000
Speaker 1: And yet there's so now they're moving towards legalizing weed.

1427
01:27:20,360 --> 01:27:23,479
Speaker 1: You know, great now we're pushing drugs on people. That's

1428
01:27:23,520 --> 01:27:25,559
Speaker 1: all we need to need. We need a stone public

1429
01:27:26,120 --> 01:27:28,479
Speaker 1: in New York. Although, to be honest, you can't walk

1430
01:27:28,520 --> 01:27:30,840
Speaker 1: down the street of New York City not smell that crap.

1431
01:27:30,920 --> 01:27:34,880
Speaker 1: It smells like a skunk and it's it just is

1432
01:27:34,880 --> 01:27:38,120
Speaker 1: a whole different There's a whole different world, and I've

1433
01:27:38,240 --> 01:27:41,240
Speaker 1: lived in it. I was out of New York sixteen years.

1434
01:27:41,720 --> 01:27:45,639
Speaker 1: That's why my accent is not as bad as Linda's. Um.

1435
01:27:46,200 --> 01:27:48,840
Speaker 1: I worked hard at It really kicks in when I

1436
01:27:48,920 --> 01:27:53,320
Speaker 1: get tired and uh, but you know, it's just sad

1437
01:27:53,400 --> 01:27:55,519
Speaker 1: what they're doing to the people in New York. And

1438
01:27:55,680 --> 01:27:58,160
Speaker 1: now people are voting and they're leaving with their feet.

1439
01:27:58,640 --> 01:28:01,840
Speaker 1: They're done. They want to get out. So many Americans

1440
01:28:01,880 --> 01:28:03,960
Speaker 1: are fleeing blue states. It's now I'm going to change

1441
01:28:04,000 --> 01:28:07,400
Speaker 1: the electoral map. This was on Foxnews dot com. You know,

1442
01:28:07,560 --> 01:28:09,719
Speaker 1: the biggest winners are going to be Florida in Texas

1443
01:28:09,800 --> 01:28:16,920
Speaker 1: two three seats new congressional seats respectively, State New York, California. No,

1444
01:28:17,080 --> 01:28:19,519
Speaker 1: they're not getting any of that anyway. I appreciate the call.

1445
01:28:19,640 --> 01:28:21,800
Speaker 1: Thanks so much, my friend eight Hunt. Thank you for

1446
01:28:21,880 --> 01:28:24,920
Speaker 1: the warm invitation too. It means a lot. All right,

1447
01:28:24,960 --> 01:28:27,759
Speaker 1: that's gonna wrap things up at Today Hannity nine Eastern

1448
01:28:27,840 --> 01:28:30,519
Speaker 1: Tonight Fox News. Hope you'll join us. Say your DVR

1449
01:28:31,360 --> 01:28:34,240
Speaker 1: would be checking in. I love SAT. Senator John Kennedy's

1450
01:28:34,240 --> 01:28:37,599
Speaker 1: a trip. Love having him, Dana lash Pete Hank said,

1451
01:28:37,680 --> 01:28:42,840
Speaker 1: New King Rich representative Byron Donalds is going to join us.

1452
01:28:43,960 --> 01:28:46,879
Speaker 1: LEO two point zero, Kaylee MC and any Larry Elder

1453
01:28:47,439 --> 01:28:50,120
Speaker 1: say your DVR Hannity News you won't get from the

1454
01:28:50,200 --> 01:28:53,200
Speaker 1: Mob nine Eastern on the Fox News Channel. Thanks for

1455
01:28:53,280 --> 01:28:55,519
Speaker 1: being with us, See you tonight. Back here tomorrow