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Speaker 1: All right, thank you, Scott Chattan, thanks to all of

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Speaker 1: you for being with us. Here's our toll free telephone

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Speaker 1: number you want to be a part of the program,

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Speaker 1: It's eight hundred and nine to four to one, Sean

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Speaker 1: if you'd like to join us, and we'd love to

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Speaker 1: have you be a part of the program. Well, the

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Speaker 1: reason when I'm running the interview with the President, President

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Speaker 1: Trump and Elon Musk tonight, it is a hell holiday,

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Speaker 1: Happy President's Day or Washington Birthday. I don't know what

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Speaker 1: we call it anymore. I can't keep up with all

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Speaker 1: these name changes, and it is what it is, and

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Speaker 1: but we I will tell you that the time I

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Speaker 1: spent with them was pretty amazing and as much as

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Speaker 1: what we are discovering on top of everything that we

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Speaker 1: already knew and we have repeated on this program and

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Speaker 1: scrolled repeatedly on TV. I even said at one point

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Speaker 1: in the interview, he said, I can't waste this precious

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Speaker 1: time with you guys and start listing everything. So I'll

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Speaker 1: scroll it and we can do that in what's called

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Speaker 1: post meaning after the interview, just you know, at it

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Speaker 1: while you're asking the questions, and we just keep finding

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Speaker 1: more every day. I mean, it is pretty it's pretty unbelievable.

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Speaker 1: Now we have a report out today that and now,

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Speaker 1: just to be clear, Elon Musk has yet to determine

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Speaker 1: whether eight point seven million people listed on the Social

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Speaker 1: Security roles as being over one hundred and thirty are

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Speaker 1: currently being issued social Security checks.

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Speaker 2: They're just on the roles, so we don't know.

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Speaker 1: But his latest find is that you have eight point

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Speaker 1: seven million Americans that are listed as being over one

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Speaker 1: hundred and thirty years old that are on the list. Now,

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Speaker 1: I would say the odds are probably high that some

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Speaker 1: of them, if not all of them, it might be

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Speaker 1: the biggest fraud in history. Are you know, have been

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Speaker 1: getting checks or somebody in their family's been getting checks

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Speaker 1: and just saying, oh, the government's nice enough to send

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Speaker 1: me this, why don't I just use it? So they're

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Speaker 1: examining the Social Security roles. We've got to get a

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Speaker 1: final number and figure on this. And there are far

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Speaker 1: more eligible Social Security numbers than there are citizens in

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Speaker 1: the USA. I'm like, huh, you can't make that part

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Speaker 1: up again. That number includes eight point seven million people

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Speaker 1: on the list eligible quote of that are over one

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Speaker 1: hundred and thirty. We don't know whether these one hundred

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Speaker 1: and thirty year olds or somebody in their families receiving

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Speaker 1: a check, but he said, quote, this might be the

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Speaker 1: biggest fraud in history. We don't know, so I don't

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Speaker 1: want to jump the gun on it. But it's certainly

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Speaker 1: fascinating when you just begin the process of exit doing

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Speaker 1: a real audit, aligned by line audit of the federal government.

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Speaker 1: Then to watch the media freak out the way they

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Speaker 1: are and the Democrats freaking out the way they are.

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Speaker 1: And I'm perfectly fine, as I've been saying, with them

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Speaker 1: freaking out, and they if they want to fight for

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Speaker 1: all this waste, fraud, abuse, corruption, let them fight for that,

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Speaker 1: let them bet.

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Speaker 2: Let this be the hill that they want to die on.

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Speaker 2: I'm okay with that. Anyway.

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Speaker 1: It is real in terms of the names being there,

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Speaker 1: according to this report Fox News, with the population count

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Speaker 1: in twenty twenty. In the last census, it was more

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Speaker 1: than three hundred and thirty one million Americans. The count

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Speaker 1: of people ages one hundred and older was more than

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Speaker 1: eighty thousand according to the Census Bureau. Now musk Stead

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Speaker 1: the logic flow diagram for the system looks insane and

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Speaker 1: in other words, what he's saying, on the surface, this

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Speaker 1: looks insane on the surface. We got to get to

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Speaker 1: the bottom of it. And he was very clear in

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Speaker 1: the interview with me. He said, we're going to make mistakes,

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Speaker 1: but we're going to quit those We're going to fix

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Speaker 1: those mistakes very quickly. The person actually knows how it works.

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Speaker 1: The payment files that move between the Social Security and

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Speaker 1: Treasury have significant inconsistencies that are not reconciled.

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Speaker 2: He said, it's just wild.

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Speaker 1: And you know, if you want to retire from the

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Speaker 1: federal government, it takes a whopping six months and they

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Speaker 1: do it by hand in some underground bunker limestone you know,

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Speaker 1: mine from years gone by.

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Speaker 2: I mean this by hand.

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Speaker 1: We live in the computer age, we live in the

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Speaker 1: age of artificial intelligence. We have another report out today

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Speaker 1: that Afghanistan is expected to experience a seven percent economic

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Speaker 1: decline because of severe reductions to US for and aid,

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Speaker 1: according to the Center for Global Development, and over the

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Speaker 1: past three years, Joe Biden's administration has taken your tax

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Speaker 1: dollars and given more than three billion dollars in aid

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Speaker 1: to Afghanistan run by the Taliban that stole our military equipment.

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Speaker 1: They should have returned it and Joe should have demanded

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Speaker 1: it and solidifying their position as the nation's largest financial donor.

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Speaker 1: Meaning we are, well, what is the Taliban doing for us?

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Speaker 1: I mean, it's still as radical as it once was.

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Speaker 1: I'm not sure why, but whenever Rampaul does something, I

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Speaker 1: always believe there's a reason behind it. And he's called

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Speaker 1: for a review Senator Paul of the A fort nine,

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Speaker 1: which is the vault that massive gold reserves with an

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Speaker 1: estimated four hundred and twenty five billion dollars based on

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Speaker 1: current market rates, in response to Elon's you know, talking

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Speaker 1: about the stash anyway, it drew attention to a user

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Speaker 1: who asked them to take a look inside Fort Knox

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Speaker 1: and make sure that four five and eighty tons of

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Speaker 1: US gold is actually in there, and Musk replied on

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Speaker 1: X that surely it's reviewed at least every year, and no,

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Speaker 1: Ram Paul said, nope, it's not referring to the army

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Speaker 1: installation south of Louisville. So that's another area new discoveries.

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Speaker 1: Elon Musk's doge has discovered that during the Biden's four

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Speaker 1: years in the White House, Congress granted thirty one billion

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Speaker 1: dollars to the Department of Health and Human Services to

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Speaker 1: provide housing, medical, legal services to their unvetted Biden Harrisey illegals.

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Speaker 1: And that's from fiscal use twenty twenty one to fiscal

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Speaker 1: year twenty twenty four. Congress gave FEMA's Shelter and Services

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Speaker 1: Program an additional two point two billion the nonprofits and

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Speaker 1: local entities to provide support to non citizens released from

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Speaker 1: the Department of Homeland Security study. In twenty twenty four

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Speaker 1: a loan FEMA set aside six hundred and forty point

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Speaker 1: nine million in shelter in service grants who enable non

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Speaker 1: federal entities to offset allowable costs incurred for services associated

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Speaker 1: with non citizen in other words, illegal immigrant arrivals in

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Speaker 1: their communities. We're top recipients Denver, d C, Chicago, Massachusetts,

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Speaker 1: New York, and Philadelphia. Democratic run states and cities with

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Speaker 1: sanctuary policies offering free housing and services to illegals. Now,

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Speaker 1: also remember, in the course of all this, they lied.

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Speaker 1: In the course of all of this, they were telling

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Speaker 1: us the border secure for four years, and that the

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Speaker 1: border is closed for four years. I mean spectacular lives

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Speaker 1: in the American people's all through it. The media, Well,

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Speaker 1: why didn't they do their job? Why didn't they go

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Speaker 1: down to the border and report the truth and tell

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Speaker 1: the American people considering they all claim to be these

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Speaker 1: great journalists that they're not. And this is why I said,

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Speaker 1: you know, after this election, legacy media is just dead.

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Speaker 1: And you know, how will you how do they ever

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Speaker 1: regain your trust? And if you even watch them today,

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Speaker 1: all they've done is double down on stupid and dumb

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Speaker 1: and dumber because they keep doing the same thing. It's like, hey,

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Speaker 1: Trump twenty four to seven. And interestingly, Rasmus said, has

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Speaker 1: a poll out today. Elon Musk now has a solid

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Speaker 1: fifty five percent approval rating at a good approval rating

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Speaker 1: a poll by Insider Advantage in Trafalgar last week. And

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Speaker 1: the president and the most voters like Donald Trump's decision

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Speaker 1: to put Elon Musk in charge in light of everything

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Speaker 1: they've been saying about the poor guy. I mean, I'm surprised,

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Speaker 1: you know, he's been so demonized by the left. I'm

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Speaker 1: surprised he has any approval rating at this point. You know,

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Speaker 1: when you have people on the l left and Democrats,

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Speaker 1: I don't know, nobody voted for Elon Musk. No, nobody

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Speaker 1: voted for any cabinet members either, but they did vote

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Speaker 1: for Donald Trump. And Donald Trump ran on eliminating waste

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Speaker 1: fraud and abuse. People are dying due to doze cuts.

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Speaker 2: No, they're not.

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Speaker 1: There's no evidence to back that up at all. You know,

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Speaker 1: Elon Musk is a male body part the street binocular.

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Speaker 1: I'll save you from me saying it. This is a

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Speaker 1: constitutional crisis is happening in America? Okay, Well, we got

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Speaker 1: out of the corrupt WHO agreement. That's one point two

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Speaker 1: eight billion dollars, the Who's twenty twenty three budget Paris Accords.

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Speaker 1: You know, Biden's Inflation Reduction Act included three hundred and

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Speaker 1: sixty nine billion dollars towards fighting climate change through clean

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Speaker 1: energy tax grants and other means. Now, the GAO put

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Speaker 1: out a report, we told you about it last week,

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Speaker 1: two hundred and thirty three billion dollars that's over a

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Speaker 1: quarter of a trillion dollars that they discovered in waste

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Speaker 1: fraud and abuse last year alone. And it includes none

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Speaker 1: of the things that we've discovered. It doesn't include the

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Speaker 1: twenty four million for you know, the country at Georgia

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Speaker 1: and green transportation, or the twenty nine million for an

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Speaker 1: agricultural trade diversification program, or four point five million to

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Speaker 1: build a societal resilience in the face of disinformation in Kazakhstan,

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Speaker 1: and that didn't include seven point four million to enhance

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Speaker 1: you know, inclusion accountable governance in Northeast Syria, or forty

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Speaker 1: four point eight million for food economic assistance for Venezuelan

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Speaker 1: illegals in Colombia, or you know, the six point seven

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Speaker 1: million to protect protect biodiversity wildlife crimes in South Africa,

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Speaker 1: or you know, money paying for transgender comic books in

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Speaker 1: Peru and transgender operas in Colombia and DEI musicals in

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Speaker 1: Ireland and advancing the DEI in Serbia workplaces. This is

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Speaker 1: all money spent broad and I can keep going. It

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Speaker 1: just is no shortage of the list of money that

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Speaker 1: we have. I'm betting that when it's all said and done,

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Speaker 1: we're going to be over a trillion dollars that we

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Speaker 1: discover and it's all going to be spent on this

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Speaker 1: new green deal, radical green new deal. You know, wokeism, transgenderism,

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Speaker 1: LGBTQ abroad, not for the American people and for the

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Speaker 1: average American that makes sixty six grand a year, and

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Speaker 1: for the average American that's been suffering four years, pay

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Speaker 1: for the paying for the quote cost of democracy to

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Speaker 1: quote Kamala Harris, and pay higher energy fees, and for

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Speaker 1: the very people that are putting bare necessities on their

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Speaker 1: credit cards. But those Americans that have suffered, even though

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Speaker 1: we were told that the economy's flying. By the way,

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Speaker 1: if you notice now Democrats all of a sudden, they

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Speaker 1: notice the economy is not good. Donald Trump said on

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Speaker 1: day one, Well, on day one, he's implementing his policies.

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Speaker 1: You're right, but we have to actually get out from

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Speaker 1: under the Biden Harris economy that he inherited. And yeah,

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Speaker 1: day one he's working to make that happen. The federal

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Speaker 1: government has been stealing trillions of dollars. In the Washington Times,

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Speaker 1: Robert Knight writes a piece if you want to know,

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Speaker 1: then you think about this, if you want to know

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Speaker 1: how badly your tax dollars have been wasted. The Washington

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Speaker 1: Times reported Sunday that the figure is well into trillions

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Speaker 1: of dollars. That's trillions with a capital T and an

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Speaker 1: S on the end of it. One expert testifying before

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Speaker 1: Congress last week at the amount of improper payments issued

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Speaker 1: by federal bureaucrats since two thousand and three comes to

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Speaker 1: a staggering two point seven trillion, And as The Washington

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Speaker 1: Times pointed out, it is becoming clear that the federal

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Speaker 1: government has been stealing trillions from American taxpayers and hiding

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Speaker 1: And this is the point I've been making over and

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Speaker 1: over again, how they have spent them. They label them,

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Speaker 1: you know, very innocuous, benign, generic titles. And meanwhile they

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Speaker 1: know what the money's really being spent. But they put

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Speaker 1: all of this money into you know, it's hilarious to

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Speaker 1: watch as government jobs are being reduced. In seventy five

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Speaker 1: thousand people that work in DC have taken the buy out.

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Speaker 1: Others will be fired, and let go that the home

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Speaker 1: market in d C is on fire, people dying to

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Speaker 1: sell their homes. Probably you can get a deal if

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Speaker 1: you want to live in the DC area, although I

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Speaker 1: have no idea why you'd want to. The chief executive

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Speaker 1: for Lexus Nexus testified to a House committee on Wednesday

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Speaker 1: the federal agencies had reported two point seven trillion in

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Speaker 1: cumulative improper payments going back as far as two thousand

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Speaker 1: and three. Now do you really And by the way,

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Speaker 1: there have been people over the years that have pointed

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Speaker 1: out we had years ago citizens against government waste and

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Speaker 1: Tom Cotton is I'm sorry, remember Senator Tom Coburn Oklahoma.

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Speaker 1: William Proxmiyer you might remember him, Wisconsin Democrat published annual

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Speaker 1: lists of all the absurd government spending one hundred and

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Speaker 1: nine thousand dollars to study the mating habits of the

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Speaker 1: Japanese quail. I don't know why that sticks on my mind.

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Speaker 1: Democrats are screaming this is a constitutional crisis.

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Speaker 2: No, it's not.

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Speaker 1: You know what the constitutional crisis has been that they

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Speaker 1: stole this money from your children, your grandchildren. They brought

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Speaker 1: Social Security and Medicare to the brink of insolvency. They've

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Speaker 1: left wide open borders that has allowed known terrorists, non murderers, rapists,

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Speaker 1: you know, cartel members, gang members into the country. Another

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Speaker 1: new report puts America's twenty twenty five deficit at a

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Speaker 1: dangerous three point three trillion dollars. We're getting to the

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Speaker 1: point where interest on the debt is more than what

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Speaker 1: we pay a national defense, and the debt to GDP

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Speaker 1: ratio is going to be higher than at any point

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Speaker 1: since World War Two. We cannot sustain this as a country.

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Speaker 1: By the way, the New York Times had to retract,

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Speaker 1: and by the way, so should Rachel maddow their story

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Speaker 1: claiming that Trump awarded Elon Musk's Tesla a four hundred

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Speaker 1: million dollar dollar contract as dug up at one point

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Speaker 1: nine billion dollars in taxpayer money misplaced at how do

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Speaker 1: you misplace one point nine billion dollars?

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Speaker 2: How does that happen? Alright?

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Speaker 1: Twenty five to the top of the hour, eight hundred

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Speaker 1: and nine point one Sean, If you want to be

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Speaker 1: a part of the program.

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Speaker 2: Another company I wish I thought of.

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Speaker 1: This is a genius legacy box dot com slash Hannity.

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Speaker 1: Go there today. You get fifty percent off your order.

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Speaker 1: Why is it important because all of you listening to

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Speaker 1: my voice right now. If you go into your attic,

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Speaker 1: if you go into your closets, if you go into

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Speaker 1: your basement, you go into your garage, and you have

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Speaker 1: other family members do it too, what are you going

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Speaker 1: to find? You're going to find all these family memories

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Speaker 1: and and VHS tapes and camquarder tapes and film reels

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Speaker 1: and photos and negatives, they're just they're just fading away

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Speaker 1: and the overtime, you know, you won't be able to

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Speaker 1: recover them. And anyway, they're victims to heat, you know,

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Speaker 1: to think like heat, moisture, mold, et cetera. But there's

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Speaker 1: a permanent solution is they will hand digitize it. At

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Speaker 1: Legacy Box found it over a decade ago, and the

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Speaker 1: purpose is to save these memories in perpetuity. And you know,

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Speaker 1: if you think about it, you put this all together,

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Speaker 1: you do it for your family, you get fifty percent

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Speaker 1: off you can put you know, once you get your

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Speaker 1: Legacy Box, you'll lock in your deal. They'll send you

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Speaker 1: a box and at your leisure, you put all of

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Speaker 1: those family memories in the box. You send it off

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Speaker 1: to them. You get the originals back, they'll hand digitize

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Speaker 1: the rest of it and then you can sit as

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Speaker 1: a family in start looking at old photos and and

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Speaker 1: old videos of people that have passed on and get

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Speaker 1: to see and hear from them again. And then you'll

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Speaker 1: know generations from now that you're great great great great

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Speaker 1: great great grandchildren will know what you look like and

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Speaker 1: you sounded like, and they'll be grateful you did it,

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Speaker 1: and you have the insight and the ability to do it. Anyway,

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Speaker 1: don't let these family memories fade away. Just go to

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Speaker 1: legacy box dot comm slash Hannity. You get fifty percent

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Speaker 1: off today fifty percent off legacy box dot com slash Hannity.

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Speaker 1: Now here's how bad this is. This is where we're

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Speaker 1: headed off the fiscal cliff. And this is where it

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Speaker 1: gets very, very financially dangerous for the country. You know,

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Speaker 1: when when we start paying more on interest for the

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Speaker 1: national debt at you know, thirty seven trillion dollars because

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Speaker 1: they've been now we're exposing how they've been robbing hardworking

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Speaker 1: Americans and they've been hiding what it is they've been

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Speaker 1: spending the money on.

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Speaker 2: I mean, we're now at.

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Speaker 1: For the first for this recent for this first quarter,

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Speaker 1: the federal government had a mind numbing eight hundred and

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Speaker 1: thirty eight billion dollar cash shortfall. And that's where the

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Speaker 1: this is all under Harris and Biden. And if you

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Speaker 1: do the math, that's over two and a half trillion

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Speaker 1: dollars that our deficit will explode this year. That brings

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Speaker 1: us to close to forty trillion dollars in debt. Okay,

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Speaker 1: now we're getting to the point where it becomes unsustainable,

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Speaker 1: and it is. It is mind numbing the numbers. You know,

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Speaker 1: you hear millions, billions and trillions, but now we're finding

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Speaker 1: hundreds of billions in all of this money in waste, fraud,

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Speaker 1: abuse and corruption. You know those you dug up another

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Speaker 1: one point nine billion in taxpayer money. The quote was misplaced.

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Speaker 1: How do you misplace one point nine million at the

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Speaker 1: Department of Housing in Urban Development?

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Speaker 2: How does that happen? You know?

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Speaker 1: How does the top agency recover that thumb? Only because

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Speaker 1: Elon Musk did it? And I know it's maybe fashionable,

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Speaker 1: although the American people are quickly not buying it. There

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Speaker 1: was a RASPMU some poll out on top of the

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Speaker 1: Perfalgar and Insider Advantage pole last week. You know, his

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Speaker 1: popularity is more and more people become aware of it.

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Speaker 1: They're going to realize Elon Musk is a national treasure.

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Speaker 1: And there's so much I want to tell you about

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Speaker 1: him that I don't want to tell you until after

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Speaker 1: the interview. And I'd never met him before, and I

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Speaker 1: spoke with him a significant time, both on air and

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Speaker 1: off air with him, and I just started asking him

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Speaker 1: about all his different projects. I mean, this is a

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Speaker 1: guy that started finding zip too and PayPal and SpaceX

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Speaker 1: where he was you know, he funded it himself chief engineer.

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Speaker 2: Uh.

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Speaker 1: He was bought into Tesla early. I saw that Cheryl

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Speaker 1: wants a name crow, you know, gave her Tesla to MPR.

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Speaker 1: My good, Give everybody that likes MPR, m PBS they

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Speaker 1: can start paying for their own for their own content,

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Speaker 1: because the American people shouldn't be paying for NPR or

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Speaker 1: any of you know, any of this nonsense or PBS.

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Speaker 2: They have an agenda. It's radically left.

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Speaker 1: You know, he's worth four or five hundred billion dollars

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Speaker 1: and you know, what are the what is there to

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Speaker 1: hate about him exposing you? This is putting out personal information. No,

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Speaker 1: he's not putting personal information at risk. You know, how

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Speaker 1: do you possibly if you don't go line by line,

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Speaker 1: agency by agency, how are you going to root out

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Speaker 1: this corruption? There's no other way to do it. He

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Speaker 1: wasn't elected, No, but neither was Pam Bondy to be

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Speaker 1: the Attorney general or Pete Hegsath or any of the

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Speaker 1: other Trump nominees or RFK Junior.

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Speaker 2: You know.

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Speaker 1: Anyway, and you know this is a guy who envisions,

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Speaker 1: you know, and has a plan to put to get

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Speaker 1: spaceships to go to Mars and put plants on there

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Speaker 1: and see if life can be sustainable there.

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Speaker 2: You know.

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Speaker 1: This is the guy that had the first private company

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Speaker 1: to place astronauts in orbit. This is a guy who

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Speaker 1: created Starlink, which offers internet coverage to one hundred countries

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Speaker 1: with these with these satellites that he launched.

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Speaker 2: I have Starlink. It's great. You know.

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Speaker 1: Starlink is also or star Shield, is designed to improve

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Speaker 1: our national security and national defense. If you recall during

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Speaker 1: Hurricane Helene and Hurricane Milton, you know, especially people in

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Speaker 1: Tennessee and in the western part of North Carolina where

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Speaker 1: hammered so hard they were totally disconnected from the world.

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Speaker 1: Elon Musk donated Starlink so that people can communicate with

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Speaker 1: the rest of the world. Again, he did the same

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Speaker 1: thing for the people in the Pacific Palisades after the

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Speaker 1: wildfires out in California, and they hear him talk about

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Speaker 1: rescuing two astronauts that frankly were abandoned by Biden and

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Speaker 1: Harris for nearly three hundred days. They're only supposed to

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Speaker 1: be there for eight days. It's pretty remarkable. And why

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Speaker 1: is there this vitriol, this hatred, because he's exposing them.

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Speaker 1: He's shining a light on corruption, he's shining a light

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Speaker 1: on waste and abuse. He's not getting paid his salary.

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Speaker 1: He's doing it for free, you know, just like he

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Speaker 1: donates all this stuff for free, just like he's gonna

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Speaker 1: you know, he's helping people with communications for free, you know.

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Speaker 1: And then I started asking him at different times about

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Speaker 1: some of the other projects. I didn't know everything about

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Speaker 1: Elon Musk, but I really did a deep dive into him.

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Speaker 1: You might not know this. You buy a Tesla. They

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Speaker 1: have their own insurance company. Maybe guy should get a

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Speaker 1: Tesla next. Friends of mine swear by their Teslas. They

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Speaker 1: love it.

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Speaker 2: You know.

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Speaker 1: Cheryl Crow wants to punish Elon Musk and begin this

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Speaker 1: little boycott of hers to send a mess what are

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Speaker 1: you sending a message to? What are you miss sending

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Speaker 1: a message about what you don't You're perfectly fine. It's

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Speaker 1: acceptable to spend the money the way we've been exposing

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Speaker 1: how this money is being spent. That's okay with you.

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Speaker 1: You think it's fair to your children and grandchildren? Is

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Speaker 1: it fair to the average American that only makes sixty

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Speaker 1: six grand a year. When's the last time, Cheryl Crow?

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Speaker 1: It never left me? You know, yeah, at this point

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Speaker 1: in my life, I have money. I do, but I

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Speaker 1: didn't have it for a lot of years, and I

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Speaker 1: remember what it was like. It's the weirdest thing. Your

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Speaker 1: brain doesn't change. I mean, the people of my life

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Speaker 1: cannot believe Eve how I dress in my real life.

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Speaker 1: They just can't. Linda, how bad is it? You can

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Speaker 1: tell everybody. I don't care. You don't want to tell anybody. Oh,

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Speaker 1: she's Linda has left the building. She's she's departed for

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Speaker 1: different places. Uh, well, we have I think Jason is there?

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Speaker 1: Jason am I the fanciest dresser in the world. New No,

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Speaker 1: what do I wear every day? When I when you

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Speaker 1: see me?

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Speaker 2: Uh, you've got that old I got what I do?

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Speaker 2: I wear? I wear black T shirts usually homeless shelter

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Speaker 2: can hold me back.

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Speaker 1: Look, I'm the John vetterman and talk radio. I don't know,

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Speaker 1: and I, uh, what do you think he dresses better

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Speaker 1: than me? Though he's suggesting that he does not. I

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Speaker 1: wear I wear jeans. I've improved my look a little.

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Speaker 1: I mean, and I have to get dressed up. I'll

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Speaker 1: get dressed up.

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Speaker 2: You have holes in your sneakers.

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Speaker 1: I don't have holes in my I did one pair

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Speaker 1: of shoes years ago, and I didn't know it until

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Speaker 1: somebody pointed it out because I put my feet up.

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Speaker 1: I didn't I didn't know I had a hole in it.

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Speaker 1: I had no idea. You should never felt it yourself.

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Speaker 1: Might should be ashamed of myself. I mean, I mean,

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Speaker 1: at this point, I have everybody in my life. It

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Speaker 1: is sort of like an all hands on deck intervention

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Speaker 1: to get me to dress better, you know.

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Speaker 2: Starting with my daughter, She's like, Daddy, stop, you're an

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Speaker 2: adult with a job. You should not have holes in

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Speaker 2: your sneakers. Okay, you shouldn't have it. Okay, yeah, I mean,

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Speaker 2: and then I have to find I don't know.

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Speaker 3: I mean, I think you look a lot better now,

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Speaker 3: I mean to me. You know, I'm sure it's between

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Speaker 3: Ainslie and your daughter and you know your sister, and

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Speaker 3: I think.

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Speaker 1: We true it was. It's been an intervention in my

434
00:23:54,160 --> 00:23:55,360
Speaker 1: life because but.

435
00:23:55,359 --> 00:23:57,520
Speaker 3: I don't think you dressed me before. You just dressed

436
00:23:57,520 --> 00:23:58,560
Speaker 3: like a dude who didn't care.

437
00:23:59,880 --> 00:24:02,600
Speaker 1: If I could, I'd still dress I still wear my

438
00:24:02,600 --> 00:24:05,280
Speaker 1: black T shirt, and I still have a if I'm

439
00:24:05,359 --> 00:24:08,240
Speaker 1: home or just not going anywhere, that's that's what I wear.

440
00:24:08,359 --> 00:24:10,320
Speaker 3: But I don't think there's anything wrong with that, you know.

441
00:24:10,400 --> 00:24:12,600
Speaker 3: I mean, now you've got your boat shoes, you got

442
00:24:12,600 --> 00:24:14,879
Speaker 3: your fancy pants.

443
00:24:14,920 --> 00:24:18,000
Speaker 1: I'd no, no, no, no, no. I don't have boat shoes.

444
00:24:18,080 --> 00:24:23,040
Speaker 1: That is absolutely I do not have boat shoes. I

445
00:24:23,080 --> 00:24:27,240
Speaker 1: have the sneaker looking grip shoes, so they're really sneakers,

446
00:24:27,280 --> 00:24:30,760
Speaker 1: except they look a little dressier and they have that

447
00:24:30,840 --> 00:24:35,399
Speaker 1: white around the outside of it. Anyway, I digress. So

448
00:24:35,760 --> 00:24:39,000
Speaker 1: there is also a robotic part of Tesla, which I

449
00:24:39,160 --> 00:24:43,280
Speaker 1: is fascinating, But I think the most interesting thing is

450
00:24:43,600 --> 00:24:45,760
Speaker 1: the work that he's that Elan is doing in an

451
00:24:45,840 --> 00:24:51,480
Speaker 1: Ai and how much AI is going to change the world.

452
00:24:51,720 --> 00:24:51,879
Speaker 2: You know.

453
00:24:51,880 --> 00:24:53,840
Speaker 1: I was talking to somebody over the weekend. Somebody is

454
00:24:53,840 --> 00:24:56,320
Speaker 1: seeking my advice, and I said, get a trade. There's

455
00:24:56,400 --> 00:24:58,119
Speaker 1: a person that kind of has had, you know, a

456
00:24:58,160 --> 00:25:01,480
Speaker 1: few obstacles in their life and challenges, and I'm like, well,

457
00:25:01,640 --> 00:25:03,920
Speaker 1: are you really ready to make the change? I have said,

458
00:25:03,960 --> 00:25:07,520
Speaker 1: if you want my advice, my advice is to get

459
00:25:07,560 --> 00:25:11,400
Speaker 1: a trade. Become a plumber, become a contractor, become an electrician.

460
00:25:11,800 --> 00:25:14,199
Speaker 1: I don't care what it is. And I said, you know,

461
00:25:14,680 --> 00:25:17,639
Speaker 1: just beg somebody if you can intern with him, and

462
00:25:17,720 --> 00:25:20,360
Speaker 1: I guarantee you're going to get a job and then

463
00:25:20,440 --> 00:25:23,840
Speaker 1: learn that craft and go to school at night, and

464
00:25:23,920 --> 00:25:25,520
Speaker 1: you can really turn your life around. There was an

465
00:25:25,560 --> 00:25:29,199
Speaker 1: article about the next generation of millionaires are going to

466
00:25:29,200 --> 00:25:32,280
Speaker 1: be tradesmen because there's going to be such demand for it.

467
00:25:32,280 --> 00:25:35,280
Speaker 1: That's not something AI can take over either, not that

468
00:25:35,320 --> 00:25:39,680
Speaker 1: I can imagine in any way. But the most interesting

469
00:25:39,720 --> 00:25:41,200
Speaker 1: thing that I think that he's involved in. Have you

470
00:25:41,280 --> 00:25:46,000
Speaker 1: ever read about neuralink, Linda.

471
00:25:44,720 --> 00:25:45,879
Speaker 3: Do I have a what link?

472
00:25:46,520 --> 00:25:50,439
Speaker 2: Did you ever read about musk and neuralalink? Oh, my gosh.

473
00:25:50,480 --> 00:25:52,639
Speaker 3: So it's really funny that you're asking about this. So

474
00:25:52,960 --> 00:25:56,800
Speaker 3: Sarah Carter's husband, Marty, is blind and one of the

475
00:25:56,840 --> 00:25:59,639
Speaker 3: things that noralink would do would really help people who

476
00:25:59,640 --> 00:26:02,200
Speaker 3: are block be able to see again. So we actually

477
00:26:02,200 --> 00:26:03,199
Speaker 3: followed pretty closely.

478
00:26:04,320 --> 00:26:07,440
Speaker 1: I talked to him about that, and a friend of mine,

479
00:26:07,480 --> 00:26:10,040
Speaker 1: Steve Wind, does not see well, and I talked about

480
00:26:10,119 --> 00:26:12,480
Speaker 1: he knows Steve, and I asked him would that help him?

481
00:26:13,480 --> 00:26:16,600
Speaker 1: But it integrates the human brain with AI, and by

482
00:26:16,600 --> 00:26:18,240
Speaker 1: the way, it's not putting a chip in your head.

483
00:26:18,320 --> 00:26:20,600
Speaker 1: I know people you know, more consumable.

484
00:26:20,800 --> 00:26:22,200
Speaker 3: Yeah, it's a huge misconception.

485
00:26:22,480 --> 00:26:27,080
Speaker 1: Yeah, and but it has medical uses. For example, people

486
00:26:27,119 --> 00:26:31,000
Speaker 1: with spinal cord injuries, they think they might be on

487
00:26:31,119 --> 00:26:35,480
Speaker 1: the precipice, the cusp of inventing a way for them

488
00:26:35,520 --> 00:26:39,040
Speaker 1: to walk again and for the blind to see. I mean,

489
00:26:39,160 --> 00:26:42,879
Speaker 1: pretty amazing. Although I think my first question you're going

490
00:26:42,920 --> 00:26:46,160
Speaker 1: to find the funniest question, one of the funniest questions. Okay,

491
00:26:47,040 --> 00:26:52,600
Speaker 1: and it was me asking Trump about a lawsuit with Twitter.

492
00:26:54,119 --> 00:26:55,400
Speaker 3: Oh my god.

493
00:26:55,800 --> 00:26:58,280
Speaker 2: Yeah, that's how I started the interview. It was pretty funny.

494
00:26:58,880 --> 00:26:59,399
Speaker 3: That's awesome.

495
00:27:00,240 --> 00:27:01,840
Speaker 2: If you go back to the Twitter files, what do

496
00:27:01,920 --> 00:27:03,040
Speaker 2: we learned in the Twitter files?

497
00:27:03,119 --> 00:27:03,239
Speaker 3: That?

498
00:27:03,280 --> 00:27:05,720
Speaker 1: And I didn't have time to really delve deep into

499
00:27:05,760 --> 00:27:07,960
Speaker 1: this because I just there was so much to talk about.

500
00:27:07,960 --> 00:27:09,920
Speaker 3: Well, it's not relevant now anyways.

501
00:27:10,280 --> 00:27:11,680
Speaker 2: It's well, it isn't it isn't.

502
00:27:11,720 --> 00:27:15,119
Speaker 1: I mean the internal discussions to censor the very real

503
00:27:15,240 --> 00:27:16,440
Speaker 1: Hunter and Biden laptop.

504
00:27:17,320 --> 00:27:19,600
Speaker 3: No. No, I just mean that you know now that

505
00:27:19,600 --> 00:27:21,080
Speaker 3: that you know Elon is there.

506
00:27:21,040 --> 00:27:25,760
Speaker 1: He runs tip and how they exposed blackballing of conservatives

507
00:27:26,119 --> 00:27:29,680
Speaker 1: and how they you know, the internal workings about deciding

508
00:27:29,720 --> 00:27:33,960
Speaker 1: to suspend the President of the United States's account, the

509
00:27:34,040 --> 00:27:37,199
Speaker 1: close ties with Twitter to the FBI, which we've known about.

510
00:27:37,600 --> 00:27:39,639
Speaker 1: In the months leading up to the twenty twenty election,

511
00:27:40,119 --> 00:27:43,960
Speaker 1: they were meeting with big tech companies and and you

512
00:27:43,960 --> 00:27:46,320
Speaker 1: you don't give as much credit to Zuckerberg.

513
00:27:45,880 --> 00:27:46,240
Speaker 2: As I do.

514
00:27:46,440 --> 00:27:50,120
Speaker 1: Way before the election, this is before we knew who

515
00:27:50,119 --> 00:27:53,560
Speaker 1: the winner or lose would be. He he had long

516
00:27:53,600 --> 00:27:57,000
Speaker 1: conversations with Jim Jordan, and then he wrote that letter

517
00:27:57,119 --> 00:28:00,720
Speaker 1: admitting to everything that they were involved in in the

518
00:28:00,800 --> 00:28:05,840
Speaker 1: discussions with the FBI, et cetera. And he agreed, Okay, uh,

519
00:28:05,960 --> 00:28:08,720
Speaker 1: we are out of that business, and we're at we're

520
00:28:08,720 --> 00:28:11,960
Speaker 1: getting out of the censorship business. And this was before

521
00:28:12,040 --> 00:28:14,639
Speaker 1: Trump was even elected anyway, So I think that that

522
00:28:14,720 --> 00:28:16,160
Speaker 1: tells me it was more sincere.

523
00:28:17,560 --> 00:28:18,600
Speaker 2: Although I know a lot.

524
00:28:18,520 --> 00:28:20,159
Speaker 1: Of people just hate him, then they're going to always

525
00:28:20,160 --> 00:28:22,280
Speaker 1: forever hate him. I'm not saying I like or hate

526
00:28:22,320 --> 00:28:24,879
Speaker 1: him enough. But what the FBI did pre bunking that

527
00:28:24,960 --> 00:28:29,639
Speaker 1: laptop was unbelievable. And then just the day before we

528
00:28:29,760 --> 00:28:34,920
Speaker 1: learned in the Twitter files, the FBI tipped off Twitter

529
00:28:35,720 --> 00:28:39,200
Speaker 1: and then started sending them sensitive data and then Twitter,

530
00:28:39,360 --> 00:28:42,480
Speaker 1: they wanted Twitter to share sensitive data with the FBI.

531
00:28:43,440 --> 00:28:44,360
Speaker 2: Well, I mean even look.

532
00:28:44,240 --> 00:28:46,320
Speaker 3: At some of the payouts that we had of you know,

533
00:28:46,520 --> 00:28:50,280
Speaker 3: big you know digital news outlets that were literally the

534
00:28:50,320 --> 00:28:55,960
Speaker 3: invoice said social media censorship and social media, you know,

535
00:28:56,040 --> 00:29:00,120
Speaker 3: devising a plan to redirect you know, American citizens. I

536
00:29:00,160 --> 00:29:03,240
Speaker 3: mean this was as a very coordinated effort.

537
00:29:04,080 --> 00:29:08,800
Speaker 1: Yeah, or you know, or the CIA working with social media,

538
00:29:09,360 --> 00:29:12,280
Speaker 1: you know, and they wanted social media to put out

539
00:29:12,440 --> 00:29:16,760
Speaker 1: this information worldwide. And some of it was about COVID.

540
00:29:17,040 --> 00:29:20,600
Speaker 1: I mean, every instinct we had on COVID ended up

541
00:29:20,640 --> 00:29:23,160
Speaker 1: being right. We put the right people on the air

542
00:29:23,440 --> 00:29:24,160
Speaker 1: for COVID.

543
00:29:24,640 --> 00:29:26,800
Speaker 3: Yeah, and a few of them lost their medical licenses

544
00:29:26,800 --> 00:29:28,280
Speaker 3: and had to go to court. You think you'll ever

545
00:29:28,320 --> 00:29:29,440
Speaker 3: get their legal fees back?

546
00:29:29,480 --> 00:29:30,080
Speaker 2: I doubt it.

547
00:29:30,440 --> 00:29:33,400
Speaker 1: No, No, what do you think happened to me? I

548
00:29:33,400 --> 00:29:36,600
Speaker 1: mean when Jim Jordan told me that my social media

549
00:29:36,640 --> 00:29:39,920
Speaker 1: accounts were suppressed in the lead up to the twenty

550
00:29:39,960 --> 00:29:44,680
Speaker 1: twenty election, or that my private personal text messages, you

551
00:29:44,680 --> 00:29:47,280
Speaker 1: know that they didn't get from me, you know, they

552
00:29:47,320 --> 00:29:50,600
Speaker 1: released all of them publicly. I mean, just because I'm

553
00:29:50,600 --> 00:29:52,320
Speaker 1: a public figure, do I not have a right to

554
00:29:52,360 --> 00:29:57,240
Speaker 1: privacy not you know, or the effort to propagandize the

555
00:29:57,320 --> 00:30:00,400
Speaker 1: American people on COVID that all came out. That's why

556
00:30:00,400 --> 00:30:03,240
Speaker 1: I don't hate him. And when you get to know him,

557
00:30:03,600 --> 00:30:06,840
Speaker 1: I mean, he's such a fascinating guy in so many ways.

558
00:30:06,920 --> 00:30:09,160
Speaker 1: I mean, his brain works very differently, and then he's got,

559
00:30:10,160 --> 00:30:12,240
Speaker 1: you know, the innocence of a child.

560
00:30:12,320 --> 00:30:16,080
Speaker 2: He really does. He's just fun and he enjoys life.

561
00:30:16,160 --> 00:30:19,400
Speaker 1: He enjoys the thought of thinking about all of these

562
00:30:19,640 --> 00:30:24,320
Speaker 1: incredible human developments. I urge everyone watch The Men that

563
00:30:24,360 --> 00:30:28,360
Speaker 1: Build America on the History Channel and then look at

564
00:30:28,360 --> 00:30:31,360
Speaker 1: Elon and through those eyes today and he had a

565
00:30:31,440 --> 00:30:33,920
Speaker 1: message for billionaires that I thought was brilliant.

566
00:30:34,400 --> 00:30:35,800
Speaker 2: It will air that tomorrow.

567
00:30:36,120 --> 00:30:39,160
Speaker 1: Listen, everybody needs a safety personal security plan for you

568
00:30:39,240 --> 00:30:41,520
Speaker 1: and your family in this day and age. And I've

569
00:30:41,520 --> 00:30:44,560
Speaker 1: always had the right to carry a firearm. I still do.

570
00:30:45,240 --> 00:30:47,560
Speaker 1: But my first option is to get away. My second

571
00:30:47,600 --> 00:30:51,440
Speaker 1: option is well, thanks to the incredible technology that is Burner,

572
00:30:51,480 --> 00:30:53,680
Speaker 1: the less lethal launcher, that would be my second option,

573
00:30:54,280 --> 00:30:57,080
Speaker 1: and deadly force would be the last option. And the

574
00:30:57,120 --> 00:31:00,360
Speaker 1: beauty of Berner is it has powerful to term tear

575
00:31:00,440 --> 00:31:02,880
Speaker 1: gas kinetic rounds. You can hit a target fifty sixty

576
00:31:02,880 --> 00:31:06,120
Speaker 1: feet away, it can one shot can incapacitate an attacker

577
00:31:06,160 --> 00:31:09,520
Speaker 1: for up to forty minutes. And Berner is trusted now

578
00:31:09,560 --> 00:31:13,480
Speaker 1: by over five hundred government agencies, police departments, private security firms.

579
00:31:13,480 --> 00:31:15,680
Speaker 1: It's legal in all fifty states. You don't need a permit,

580
00:31:15,720 --> 00:31:18,480
Speaker 1: you don't need a background check. Please look at their videos.

581
00:31:18,520 --> 00:31:21,440
Speaker 1: See how powerful this is. Anyway, go to Bernard dot

582
00:31:21,480 --> 00:31:24,080
Speaker 1: com slash Hannity. You'll get ten percent off any purchase.

583
00:31:24,600 --> 00:31:27,000
Speaker 1: Look at the videos and decide for yourself. And I

584
00:31:27,040 --> 00:31:28,520
Speaker 1: have a story I'll tell you later in the week

585
00:31:28,560 --> 00:31:32,120
Speaker 1: about me and Burner. All right, Bernard dot com slash Hannity,

586
00:31:32,200 --> 00:31:33,400
Speaker 1: Everyone should have one.

587
00:31:33,280 --> 00:31:40,680
Speaker 2: Today, John Hannity.

588
00:31:41,000 --> 00:31:44,840
Speaker 1: Mac Democrats using law fair to try and stop every

589
00:31:44,880 --> 00:31:46,560
Speaker 1: action by a duly elected president.

590
00:31:46,600 --> 00:31:47,320
Speaker 2: We'll talk about that.

591
00:31:47,480 --> 00:31:51,960
Speaker 1: Our legal team will join us, Roger Severino and Hans

592
00:31:52,280 --> 00:31:54,200
Speaker 1: Vons Bolkovski.

593
00:31:54,720 --> 00:31:55,640
Speaker 2: Great ahead,