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<v Speaker 1>Thanks for having us and doing this. I know there's

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<v Speaker 1>a lot of interest in this, you know. First let

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<v Speaker 1>me start with you elon what are the budgetary savings

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<v Speaker 1>goals and how much do you think you've achieved so far.

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<v Speaker 2>Our goal is to reduce the deficit by a trillion dollars,

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<v Speaker 2>so from a nominal depth SIT of two trillion to

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<v Speaker 2>track cut depth SIT in half to one trillion, or

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<v Speaker 2>looked at it in total federal spending, to drop the

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<v Speaker 2>federal spending from seven trillion to six trillion. We want

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<v Speaker 2>to reduce the spending by eliminating waste and forward reduce

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<v Speaker 2>the spending by fifteen percent, which seems really quite achievable.

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<v Speaker 2>The government is not efficient and there's a lot of

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<v Speaker 2>waste and forward, so we feel confident that fifteen percent

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<v Speaker 2>reduction can be done without affecting any of the critical

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<v Speaker 2>government services.

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<v Speaker 1>I'm going to talk to all the making it better

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<v Speaker 1>and talk to all the guys here about the specifics.

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<v Speaker 1>But for you, what's the most astonishing thing you've found

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<v Speaker 1>out in this process?

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<v Speaker 2>The sheer amount of waste importing the government. It is astonishing,

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<v Speaker 2>it's mind blowing. Just we routinely encounter wastes of a

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<v Speaker 2>billion dollars or more casually, you know, for example, like

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<v Speaker 2>the simple survey that was literally ten question survey that

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<v Speaker 2>you could do with survey monkey qushed about ten thousand dollars.

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<v Speaker 2>Was the government was being charged almost a billion dollars

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<v Speaker 2>for that for just the survey a billion dollars for

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<v Speaker 2>a simple online survey do you like the National Park?

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<v Speaker 2>And then there appears to be no feedback loop for

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<v Speaker 2>what would be done with that survey, So the say

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<v Speaker 2>we would just go to nothing because like you're saying.

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<v Speaker 1>You technically are a special government employee and you're supposed

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<v Speaker 1>to be one hundred and thirty days.

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<v Speaker 3>Are you going.

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<v Speaker 1>To continue past that or do you think that's what

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<v Speaker 1>you're going to do?

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<v Speaker 2>Or well, I think we will accomplish most of the

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<v Speaker 2>work required to reduce the deficit by trillion dollars within

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<v Speaker 2>that timeframe.

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<v Speaker 1>So in that timeframe one hundred out of days, and

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<v Speaker 1>the process is a report at some.

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<v Speaker 3>Point at one hundred days.

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<v Speaker 2>Not really a report. We are cutting the waste and

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<v Speaker 2>prod in real time. So every day that passes, our

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<v Speaker 2>goal is to reduce the waist and prod by four

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<v Speaker 2>billion dollars a day. Every day, seven days a week,

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<v Speaker 2>and so far we are succeeding.

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<v Speaker 3>And I'm going to talk to the specifics.

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<v Speaker 1>But there obviously are DOGE critics who are reading all

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<v Speaker 1>kinds of stuff. Obviously lawmakers on the other side of

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<v Speaker 1>the aisle are attacking you, and they characterize the approach

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<v Speaker 1>is this fire ready and then aim, and how do

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<v Speaker 1>you approach that? How do you respond to that?

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<v Speaker 2>Well, I do agree that we actually want to be

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<v Speaker 2>careful in the cuts. So we want to measure twice,

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<v Speaker 2>if not thrice, and cut once. And actually that is

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<v Speaker 2>our approach. They may characterize it as shooting from the hip,

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<v Speaker 2>but it is anything at that which is not say

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<v Speaker 2>that we don't make mistakes. If we were to approach

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<v Speaker 2>this with the standard of making no mistakes at all,

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<v Speaker 2>that would be like saying someone in baseball's got about

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<v Speaker 2>a thousand. That's impossible. So when we do make mistakes,

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<v Speaker 2>we correct them quickly and we move on.

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<v Speaker 1>Some people say this shouldn't take a rocket scientist. Steve Davis,

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<v Speaker 1>you are a rocket scientist. It used to be yeah,

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<v Speaker 1>and now essentially you're the chief operating.

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<v Speaker 3>Officer of dough day to day operations.

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<v Speaker 4>Fair to say, yeah, part of part of the Dose team.

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<v Speaker 3>So how did you end up here? What's the biggest challenge?

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<v Speaker 2>You see?

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<v Speaker 4>The reason I'm here, which is probably for many, is

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<v Speaker 4>that I think the goal is incredibly inspiring. I think

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<v Speaker 4>most of the taxpayers in the country would agree that

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<v Speaker 4>in order to have the country going bankrupt would be

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<v Speaker 4>a very bad thing, and therefore the country going not

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<v Speaker 4>bankrupt is a good thing that all of us are

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<v Speaker 4>willing to kind of put our lives on hold in

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<v Speaker 4>order to do. I think the thing that's special right

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<v Speaker 4>now is we actually believe there's a chance to succeed,

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<v Speaker 4>that there's an administration that's supportive and a great cabinet

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<v Speaker 4>and just a great group that will actually make success

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<v Speaker 4>a possible outcome. And I think that's given the inspiring

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<v Speaker 4>mission and given the non zero chance of success, it

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<v Speaker 4>was worth down.

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<v Speaker 2>I just like to sort of reemphasize that point. The

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<v Speaker 2>success but those is only possible with President Trump and

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<v Speaker 2>with the outstanding cabinet that he's selected. It would be

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<v Speaker 2>impossible without the support of the President and the cabinet.

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<v Speaker 1>But you're finding the money. I mean, it's big numbers, right.

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<v Speaker 2>Yeah.

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<v Speaker 4>Like Jon said, the minimum impulse bit is often a

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<v Speaker 4>billion dollars. So for example, the eight hundred and thirty

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<v Speaker 4>million dollars which was the online survey, that's an enormous

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<v Speaker 4>amount of money that wouldn't have been found if the

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<v Speaker 4>dog team wasn't working with it, in that case the

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<v Speaker 4>Department of Interior. But then taking it one step further,

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<v Speaker 4>DOGE then publish publishes these things on our website for

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<v Speaker 4>maximum transparency. So now the general public it would have

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<v Speaker 4>been impossible for the general public to have seen that.

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<v Speaker 4>Now anyone can just log into Dodakov anytime and see

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<v Speaker 4>these payments as they're not yet in real time. They're close,

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<v Speaker 4>but they're probably be in real time with the next

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<v Speaker 4>few weeks.

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<v Speaker 1>But the process it still involves Congress, right at some level.

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<v Speaker 2>We try to keep Congress as informed as possible. But

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<v Speaker 2>the Lord does say that money needs to be spent correctly.

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<v Speaker 2>It should not be spent fortunately or wastefully. It's not

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<v Speaker 2>contrary to Congress to avoid waste and for it. It

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<v Speaker 2>is consistent with the law and consistent with Congress. And

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<v Speaker 2>we've seen actually great support at least from the Republican

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<v Speaker 2>side of the House and occasionally start Democrats too. You know,

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<v Speaker 2>it's nice to see people cross the out once in

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<v Speaker 2>a while, but usually when they attack doors, they never

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<v Speaker 2>attack any of the specifics. So they'll say what we're

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<v Speaker 2>doing is somehow unconstitutional or legal or whatever. We're like, well,

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<v Speaker 2>which line of the cost savings do you disagree with?

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<v Speaker 2>And they can't point to any and we list them

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<v Speaker 2>all on door struck up and the doge had line,

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<v Speaker 2>and you'll see just outrageous things, one outrageous thing after another.

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<v Speaker 1>Jill Gabyam, besides Elon, you're one of several billionaires here,

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<v Speaker 1>co founder of Airbnb, and you wanted to help out.

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<v Speaker 5>I bumped into Anthony d Elon probably back in February,

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<v Speaker 5>and they told me somebody about a mine that was

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<v Speaker 5>dealt with retirement, and they said it needs somebody to

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<v Speaker 5>help out to fix retirement in the government.

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<v Speaker 3>I love the challenge, so I jumped on board.

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<v Speaker 5>And it turns out there is actually a mine in

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<v Speaker 5>Pennsylvania that houses every paper document for the retirement process

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<v Speaker 5>in the government. Now picture this. This giant cave has

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<v Speaker 5>twenty two thousand filing cabinets stacked ten high to house

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<v Speaker 5>four hundred million.

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<v Speaker 2>Pieces of paper.

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<v Speaker 5>It's a process that started in the nineteen fifties and

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<v Speaker 5>largely hasn't changed in.

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<v Speaker 3>The last seventy years.

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<v Speaker 5>And so as he dug into it, we found a

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<v Speaker 5>retirement cases that had so much paper they had to

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<v Speaker 5>fit it on a shipping palate. So the process takes

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<v Speaker 5>many months, and we're going to make it just many days.

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<v Speaker 5>Well it would be digitized or how absolutely so this

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<v Speaker 5>will be an online digital process that will take just

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<v Speaker 5>a few days at most. And I really think, you know,

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<v Speaker 5>it's an injustice to civil servants who are subjected to

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<v Speaker 5>these processes that are older than the age of half

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<v Speaker 5>the people watching your show tonight. So we really believe

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<v Speaker 5>that the government can have an Apple Store like experience

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<v Speaker 5>beat if we designed great, easier experience modern systems.

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<v Speaker 3>Because right now it's by hand.

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<v Speaker 2>Yes, the retired processes all by paper, literally, with people

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<v Speaker 2>carrying paper and Manila envelopes into this gigantic mind.

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<v Speaker 1>So they can't retire more than a certain number every month.

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<v Speaker 3>About eight thousand a month.

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<v Speaker 2>That's how we do. The reason we discovered it was

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<v Speaker 2>we were saying, like, well, let's encourage voluntary retirement. Well,

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<v Speaker 2>the most you could do is eight thousand a month.

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<v Speaker 2>And even I don't know a second houses it can

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<v Speaker 2>take six to nine months just to have your time

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<v Speaker 2>at pavework process and they often get the calculations wrong.

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<v Speaker 2>So we're like, well, why would it take so long

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<v Speaker 2>to retire? And they're like, well, because of the mind.

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<v Speaker 2>We're like, what do you mean of mine? What's the

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<v Speaker 2>mine got to do with retiring? And that's where we

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<v Speaker 2>discovered that all the retirement stuff is done by still

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<v Speaker 2>done by paper, in a process that looks identical to

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<v Speaker 2>what occurred in the nineteen fifties. Like if you took

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<v Speaker 2>a snapshot of the mind when a posts ot in

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<v Speaker 2>the fifties, today it looks the same.

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<v Speaker 3>It's amazing. So how long do you think it'll take

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<v Speaker 3>to turnover.

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<v Speaker 5>Orgon as vast If we can, probably the next couple

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<v Speaker 5>of months, we'll have this overhauled. And you know, I

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<v Speaker 5>really think again, like why are we subjecting our federal

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<v Speaker 5>workers to processes that they actually have to go through

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<v Speaker 5>a training just to retire from the government. There's a

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<v Speaker 5>whole training program that people have to go through in

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<v Speaker 5>order to retire. I think we can do better for them.

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<v Speaker 3>Arem Mogandaci doje engineer?

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<v Speaker 1>You go into these places one of the more than

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<v Speaker 1>a dozen engineers. First people to go into the agencies

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<v Speaker 1>and view the puter data sets. Tell me what you're finding,

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<v Speaker 1>and for people who don't understand how that process works,

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<v Speaker 1>explain it for him.

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<v Speaker 6>Yeah, I'll say the first thing that got me really

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<v Speaker 6>excited about DOGE was learning basically the state of government computers.

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<v Speaker 6>By some estimates, government it costs about one hundred billion

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<v Speaker 6>dollars and it's funding systems that are over fifty years

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<v Speaker 6>old in the case of something like Social Security or

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<v Speaker 6>the IRS. So really critical systems are old, they cost

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<v Speaker 6>a lot of money to maintain, and they can be

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<v Speaker 6>the efforts to improve them are often very delayed. So

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<v Speaker 6>I thought, I'm a software engineer that that maybe can

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<v Speaker 6>make a difference here. And that's really what inspired me.

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<v Speaker 3>At a high level, I gave a.

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<v Speaker 1>History about social Security and a lot of words about it.

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<v Speaker 1>From here's what Democrats have been saying about it.

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<v Speaker 4>It's absurd that Elon Musk is trying to eliminate billions

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<v Speaker 4>of dollars from Social ste Security.

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<v Speaker 7>Elon Musk and President Trump have set their sites on

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<v Speaker 7>cutting social Security.

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<v Speaker 1>Their goal is clear, destroy social security from within. You're

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<v Speaker 1>in the building, I mean you're in the computers. What's

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<v Speaker 1>happening there? What are you doing?

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<v Speaker 6>Yeah, it doesn't line up with my experience on the ground.

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<v Speaker 6>And I'll say the two improvements that we're trying to

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<v Speaker 6>make to Social Security are helping people that legitimately get benefits,

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<v Speaker 6>protect them from fraud that they experience every day on

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<v Speaker 6>a routine basis, and also make the experience better. And

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<v Speaker 6>I'll give you one example is at Social Security. One

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<v Speaker 6>of the first things we learned is that they get

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<v Speaker 6>phone calls every day of people trying to change direct

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<v Speaker 6>positive information. So when you want to change your bank account,

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<v Speaker 6>you can call Social Security. We learned forty percent of

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<v Speaker 6>the phone calls that they get are from frauds stars

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<v Speaker 6>that's right, almost half.

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<v Speaker 2>Yes, and they steal people's social Security. Is what happens

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<v Speaker 2>is they call in, they say they claim to be

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<v Speaker 2>a retiree. Then they they and they convinced the post

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<v Speaker 2>the Social Security person on the phone to change the

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<v Speaker 2>where the where the money is flowing. It actually goes

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<v Speaker 2>to some fraudster. Is this happening all day every day?

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<v Speaker 2>And then and then somebody doesn't receive their Social Security

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<v Speaker 2>it's because of all the fraud loopholes in the Social

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<v Speaker 2>Security system.

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<v Speaker 1>How do you reassure people that what you all are

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<v Speaker 1>doing is not going to affect their benefits.

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<v Speaker 2>No, in fact, what we're doing will help their benefits.

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<v Speaker 2>Legitimate people, as a result of the work of doage

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<v Speaker 2>will receive more social security, not less. When emphasize that,

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<v Speaker 2>as a result of the work of Doge, legitimate recipients

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<v Speaker 2>of social security will receive more money, not less money.

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<v Speaker 3>All right, I'll emphasize that.

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<v Speaker 2>Point and then and let the record show that I

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<v Speaker 2>said this and it will be proven out to be true.

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<v Speaker 2>Let's let's check back on this in the future.

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<v Speaker 1>So, Washington Post, the Social Security Administration website crashed four

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<v Speaker 1>times in ten days this month because the servers were overloaded,

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<v Speaker 1>blocking millions of retirees and disabled veterans from logging into

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<v Speaker 1>their online accounts. Freaked people out. Is that going to change, Yes,

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<v Speaker 1>We're going to make sure that the website stays online. Yeah,

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<v Speaker 1>But is it a result of going in there something

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<v Speaker 1>you're doing.

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<v Speaker 4>Since the amount of issues that were the Social Security

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<v Speaker 4>system are enormous. As an example, there are over fifteen

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<v Speaker 4>million people that are over the age of one hundred

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<v Speaker 4>and twenty that are marked as alive in the Social Security.

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<v Speaker 3>System, and that's an accurate figure. Correct.

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<v Speaker 4>Correct. This has been something that's been identified as a

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<v Speaker 4>problem again pre existing problems since two thousand and eight,

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<v Speaker 4>at least from an IG report. So there are some

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<v Speaker 4>great people working at the Social Career Administration in Social

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<v Speaker 4>Security Administration that found this two thousand and eight, and

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<v Speaker 4>nothing was done. And so fifteen to twenty million the

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<v Speaker 4>Social Security numbers that were clearly fraudulent, we're floating around

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<v Speaker 4>that can be used only for bad intentions. There'd be

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<v Speaker 4>no way to use as for good intentions. And so

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<v Speaker 4>one of the things the DOOSE team is doing is

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<v Speaker 4>carefully and very methodically looking at those and making sure

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<v Speaker 4>that any fraudulent ones are eliminated.

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<v Speaker 1>Brad Smith working at HHS, and obviously another element is

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<v Speaker 1>Medicare and Medicaid NIH, what do you finding.

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<v Speaker 8>Yeah, Well, I'd say there's a couple of things we're

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<v Speaker 8>really committed to in our work at AHHS. Number one,

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<v Speaker 8>making sure we continue to have the best biomedical research

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<v Speaker 8>in the world. And number two, making sure which President

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<v Speaker 8>Trump has said over and over again that we one

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<v Speaker 8>hundred percent protect Medicare and Medicaid, but there's a lot

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<v Speaker 8>of opportunity. So if I take NIH as an example today,

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<v Speaker 8>if you're inih researcher and you get one hundred dollars

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<v Speaker 8>grant at your university today, you get to spend sixty

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<v Speaker 8>of that and your university spends forty of that. The

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<v Speaker 8>policy that we're proposing to make is that you get

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<v Speaker 8>to spend eighty five of that and your university spends fifteen.

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<v Speaker 8>So that's more money going directly to this scientists who

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<v Speaker 8>are discovering new cures. Another example at NIH is today

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<v Speaker 8>they have twenty seven different centers. They got created over

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<v Speaker 8>time by Congress and they're typically by disease state or

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<v Speaker 8>body system. There's seven hundred different IT systems today at NIH,

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<v Speaker 8>seven hundred different IT software systems. They can't speak to

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<v Speaker 8>each other, so they don't talk to them. They have

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<v Speaker 8>twenty seven different CIOs, and so when you think about

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<v Speaker 8>making great medical discoveries, you have to connect the data.

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<v Speaker 3>Time.

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<v Speaker 1>Yeah, time, twenty seven different chief information officers correct, correct.

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<v Speaker 2>And most of them are non technical.

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<v Speaker 3>So there's a lot there.

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<v Speaker 8>There's a lot of opportunity, and it will make science better.

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<v Speaker 2>Now, yurse, And when I say that, our job is

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<v Speaker 2>tech support I really mean it.

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<v Speaker 3>Yeah, we have to fix the computers.

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<v Speaker 2>If the computers can't talk to each other, you can't

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<v Speaker 2>get research done. If the computers can't stay online, people

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<v Speaker 2>won't receive as social security. So what we have here

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<v Speaker 2>are a bunch of failing computer systems that are preventing

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<v Speaker 2>people from receiving their benefits, that are preventing people from

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<v Speaker 2>preventing research from happening, that are extremely vunerable to fraud.

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<v Speaker 2>And we're fixing it.

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<v Speaker 1>And does that include AI does that include kind of

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<v Speaker 1>changing the system overall?

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<v Speaker 3>That's what I guess what people are afraid.

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<v Speaker 1>Of is they don't know what this is all looking

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<v Speaker 1>like and is it going to affect me in the

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<v Speaker 1>long term.

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<v Speaker 2>It's going to affect them, It's going to affect people

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<v Speaker 2>very positively. So the changes that we're doing here will

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<v Speaker 2>ensure the solvency of the American government, of the American

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<v Speaker 2>of the United States of America. This is what this

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<v Speaker 2>is what we're trying to do is ensure that people

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<v Speaker 2>do receive their benefits in the future. And you can

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<v Speaker 2>all receive your benefits if the if the country is

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<v Speaker 2>operating in a healthy and competent way.

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<v Speaker 1>Up next, how the Doze team plans to streamline some

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<v Speaker 1>federal jobs and agencies, and later Elon Musks answers some

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<v Speaker 1>of your questions that you asked Vax Anthony Armstrong, Doze,

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<v Speaker 1>Office of Personnel Management, Morgan Stanley Banker M and a

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<v Speaker 1>guy you know money and this is a lot of

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<v Speaker 1>money slashing around.

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<v Speaker 9>There's a lot of money slashing around. There's a lot

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<v Speaker 9>of money slashing out the door. And if you look

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<v Speaker 9>at the federal government in the way the workforce works,

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<v Speaker 9>it's really a one way ratchet over decades.

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<v Speaker 3>So it's going up. It's only going up. You never

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<v Speaker 3>take it away.

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<v Speaker 9>So that leaves you with duplicative functions, It leaves you

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<v Speaker 9>with overstaffing, and it leaves you with functions in the

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<v Speaker 9>wrong places. So a couple of examples duplicative functions Brad

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<v Speaker 9>mentioned twenty seven CIOs.

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<v Speaker 2>If you had kept going.

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<v Speaker 9>With Brady, probably talk about the communications office. I think

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<v Speaker 9>you've got forty forty distinct communications offices in HHS, right, forty.

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<v Speaker 3>Yeah, that's not unusual, by the.

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<v Speaker 2>Way, multiple offices like anyone healthy.

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<v Speaker 9>This is not about the employees. There there's been many

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<v Speaker 9>many hard working, well meeting people who took these jobs.

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<v Speaker 9>These jobs were out there, they applied for them, they

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<v Speaker 9>took them. They're doing what's there. It's just that they're

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<v Speaker 9>duplicating the effort of forty offices. So you've got that,

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<v Speaker 9>you've got overstaffing. A good example of overstaffing would be

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<v Speaker 9>the IRS has got fourteen hundred people who are dedicated

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<v Speaker 9>to provisioning laptops and cell phones. So if you join

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<v Speaker 9>the IRS, you get a laptop and a cell phone.

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<v Speaker 9>You're provisioned. So if each of those IRS officers or

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<v Speaker 9>employees provisioned two employees per day, you could provision the

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<v Speaker 9>entire IRS in a little more than a month, so

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<v Speaker 9>twelve times a year.

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<v Speaker 2>You can read this. Why would you have fourteen hundred

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<v Speaker 2>people whose only job it is to give a laptop

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<v Speaker 2>and the phone.

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<v Speaker 9>The whole IRS could be one a month, So that

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<v Speaker 9>doesn't make any sense. And President Trump's been very clear

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<v Speaker 9>scalpell not hatchet, and that's the way it's getting done.

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<v Speaker 9>And then once those decisions are made, there's a very

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<v Speaker 9>heavy focus on being generous, being caring, being compassionate, and

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<v Speaker 9>treating everyone with dignity and respect. And if you look

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<v Speaker 9>at how people have started to leave the government.

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<v Speaker 3>It is largely through voluntary means.

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<v Speaker 9>There's voluntary early retirement, there's voluntary separation payments, we put

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<v Speaker 9>in place, deferred resignation.

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<v Speaker 3>The eight month severance program.

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<v Speaker 9>So it's a very heavy bias towards programs that are

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<v Speaker 9>long data, that are generous, that allow people to exit

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<v Speaker 9>and go and get a new job in the private sector.

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<v Speaker 3>And you've heard a lot of.

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<v Speaker 9>A lot of news about riffs about people getting fired.

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<v Speaker 9>At this moment in time, less than zero point one five,

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<v Speaker 9>not one point five, let's than point one five of

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<v Speaker 9>the federal workforce has actually been given a riff notice, so.

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<v Speaker 3>They're selected, if they're living.

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<v Speaker 2>It is mostly almost no one's gotten fired.

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<v Speaker 3>That's what we're saying, Tom Crass.

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<v Speaker 1>Working at Treasury, you are having access to the payment system,

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<v Speaker 1>oversees all the outgoing payments. Essentially those payments were going

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<v Speaker 1>places we didn't know where they were going.

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<v Speaker 10>Right, Yeah, Unfortunately that's the case, right you know, as

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<v Speaker 10>in CFO of a big public tech company. Really what

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<v Speaker 10>we're doing is we're applying public company standards to the

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<v Speaker 10>federal government.

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<v Speaker 2>And it is.

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<v Speaker 10>Alarming how the financial operations in financial management is set up. Today,

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<v Speaker 10>there is actually really only one bank account that's used

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<v Speaker 10>to disburse all monies that go out of the federal government.

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<v Speaker 3>About one bank account.

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<v Speaker 10>It's a big one. It's a big one. It's a

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<v Speaker 10>big one. It's a big one. A couple weeks ago,

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<v Speaker 10>I had eight hundred million dollars in it. But it's

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<v Speaker 10>the Treasury diedital account. So when you hear, you know,

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<v Speaker 10>some of my colleagues here what they're talking about in

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<v Speaker 10>terms of the fraud, you have to ask, well, why

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<v Speaker 10>is this allowed to happen at a financial level. Well,

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<v Speaker 10>it's actually quite simple but alarming the Treasury up until now,

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<v Speaker 10>and thanks to President Trump, we're fixing this. In fact,

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<v Speaker 10>there's an executive order that he just signed the other

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<v Speaker 10>day which is protecting America's bank account because it really

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<v Speaker 10>is the taxpayer's money, you know.

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<v Speaker 3>One, we're changing the culture.

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<v Speaker 10>The culture is and not a lot of caring and

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<v Speaker 10>not a lot of commitment to doing what's right relative

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<v Speaker 10>to financial operations.

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<v Speaker 2>There's a five.

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<v Speaker 10>Hundred million dollars a fraud every year. There's one hundreds

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<v Speaker 10>of million dollars of improper payments, and we can't pass

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<v Speaker 10>it on it. The Consolidated financial report is produced by Treasury,

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00:20:18.480 --> 00:20:20.720
<v Speaker 10>and we cannot pass it on we have material weaknesses.

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<v Speaker 3>What that means is that if I was a public.

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<v Speaker 10>Company CFO, I would effectively be removed. I couldn't file

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<v Speaker 10>financial statements, I couldn't issue securities.

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<v Speaker 2>Of course, can't pass it on right, The federal government

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<v Speaker 2>cannot pass it in ordered, it's impossible. In fact, in

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<v Speaker 2>order to pass order, you need the information that's pass

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<v Speaker 2>and ordered. You need to have the payment code, you

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<v Speaker 2>need to have the payment explanation, and you need to

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<v Speaker 2>have a person who can contact to understand why that

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<v Speaker 2>payment was made. None of those things were mandatory until

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<v Speaker 2>until just recently, just a few weeks ago, in fact,

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<v Speaker 2>maybe last week.

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<v Speaker 10>Yeah, we're serving five hundred and eighty plus agencies, and

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<v Speaker 10>up until very recently, effect they could say make the

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<v Speaker 10>payment and Treasury just sent it out as fast as possible,

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<v Speaker 10>no verification. And so what we're doing is what any

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<v Speaker 10>household would do. But imagine you're a household. You have

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<v Speaker 10>a bank account. Everyone has an ATM card connect to

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<v Speaker 10>that account, everyone has a check book to that account.

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<v Speaker 10>It's not just your children, it's not just your parents

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<v Speaker 10>at your in laws, it's your extended family and they

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<v Speaker 10>all can go to the account and disperse funds, no

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<v Speaker 10>questions asked, no justification, no verification.

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<v Speaker 1>Up next, the DOSE team targets government contracts and we'll

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<v Speaker 1>show you what they're finding. Tyler Hasson, Interior Department. You're

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<v Speaker 1>a former oil company CEO. You're reviewing contracts before they're

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<v Speaker 1>approved for funding.

429
00:21:47.160 --> 00:21:48.279
<v Speaker 3>What do you find?

430
00:21:48.559 --> 00:21:51.160
<v Speaker 7>Well, Elon and Steve kind of stole my thunder a

431
00:21:51.160 --> 00:21:55.680
<v Speaker 7>little bit, but I actually found that customer service survey contract.

432
00:21:55.720 --> 00:21:58.240
<v Speaker 7>I actually had an example of one right here.

433
00:21:58.359 --> 00:22:00.519
<v Speaker 3>I could have done this in high school, and.

434
00:22:01.880 --> 00:22:02.839
<v Speaker 2>I found it that bad.

435
00:22:03.000 --> 00:22:05.119
<v Speaker 7>I found it on the weekends because under the Biden

436
00:22:05.160 --> 00:22:09.160
<v Speaker 7>administration there was no departmental oversight within the Department of

437
00:22:09.200 --> 00:22:10.519
<v Speaker 7>Interior whatsoever.

438
00:22:11.160 --> 00:22:11.599
<v Speaker 3>None.

439
00:22:11.759 --> 00:22:13.680
<v Speaker 2>We've now reviewing every.

440
00:22:13.519 --> 00:22:16.640
<v Speaker 7>Single contract, every single grant, and when things come to

441
00:22:16.680 --> 00:22:19.039
<v Speaker 7>my attention that don't make sense, I'm bringing him to

442
00:22:19.079 --> 00:22:23.480
<v Speaker 7>Secretary Bergham, and he's been fantastic. He's a businessman, he's

443
00:22:23.759 --> 00:22:27.079
<v Speaker 7>very supportive of DOGE. It's been wonderful to work with them.

444
00:22:27.559 --> 00:22:31.279
<v Speaker 1>Is the battle between government of decades and decades of

445
00:22:31.319 --> 00:22:34.920
<v Speaker 1>build up and business, which you guys are, is that

446
00:22:35.000 --> 00:22:35.799
<v Speaker 1>like a.

447
00:22:35.599 --> 00:22:39.039
<v Speaker 3>Train hitting each other. I mean, it seems like it's

448
00:22:39.039 --> 00:22:39.920
<v Speaker 3>pretty disruptive.

449
00:22:40.079 --> 00:22:44.240
<v Speaker 2>Well, this is a revolution, and I think it might

450
00:22:44.240 --> 00:22:46.920
<v Speaker 2>be the biggest revolution in government since the original Revolution.

451
00:22:48.279 --> 00:22:49.960
<v Speaker 2>But at the end of the day, America is going

452
00:22:50.000 --> 00:22:52.799
<v Speaker 2>to be in much better shape. Mecca will be solvent,

453
00:22:54.160 --> 00:22:58.599
<v Speaker 2>the critical programs that people depend upon will walk, and

454
00:22:59.559 --> 00:23:03.240
<v Speaker 2>it's going to be a fantastic future. But we're going

455
00:23:03.279 --> 00:23:05.000
<v Speaker 2>to get a lot of complaints along the way. Absolutely.

456
00:23:05.039 --> 00:23:06.559
<v Speaker 2>You know, one of the things I learned at PayPal was,

457
00:23:07.519 --> 00:23:10.759
<v Speaker 2>you know who complains the loudest and with the most

458
00:23:10.799 --> 00:23:16.559
<v Speaker 2>amount of fake righteous indignation the fraudsters. That's it's a tell.

459
00:23:17.559 --> 00:23:20.319
<v Speaker 2>Is that a crazy like the two billion dollars to

460
00:23:20.359 --> 00:23:23.799
<v Speaker 2>Stacey Aprons ANDNGO that basically didn't exist and suddenly gets

461
00:23:23.799 --> 00:23:27.160
<v Speaker 2>two billion dollars awarded from the federal government. She has why?

462
00:23:27.880 --> 00:23:29.400
<v Speaker 2>And there are many such cases like that.

463
00:23:29.720 --> 00:23:32.720
<v Speaker 1>I think that most people, common sense wise, would say

464
00:23:33.400 --> 00:23:36.519
<v Speaker 1>the fraud's got to end. They're concerned about the ninety

465
00:23:36.839 --> 00:23:41.000
<v Speaker 1>four year old mother who skips a check or somehow

466
00:23:41.200 --> 00:23:43.000
<v Speaker 1>doesn't get what she's supposed to get.

467
00:23:43.039 --> 00:23:45.039
<v Speaker 2>Right, And what we're trying to say is actually that

468
00:23:45.559 --> 00:23:48.519
<v Speaker 2>the ninety four year old grandmother is actually, as a

469
00:23:48.519 --> 00:23:51.200
<v Speaker 2>result of jo Dog's work, going to get her check.

470
00:23:51.680 --> 00:23:53.880
<v Speaker 2>She's not going to be robbed by frauds's like she's

471
00:23:53.880 --> 00:23:58.160
<v Speaker 2>getting robbed today. And the solvency of the of the

472
00:23:58.200 --> 00:24:00.799
<v Speaker 2>federal government will ensure that she can tinages to receive

473
00:24:01.119 --> 00:24:06.880
<v Speaker 2>those Social Security checks that Medicare continues to work, without

474
00:24:06.920 --> 00:24:10.039
<v Speaker 2>which we're all doomed. And the reason we're doing this

475
00:24:10.559 --> 00:24:13.559
<v Speaker 2>is because if we don't do it, America is going

476
00:24:13.599 --> 00:24:17.119
<v Speaker 2>to go insolve it. We're going to go bankrupt and

477
00:24:17.160 --> 00:24:18.359
<v Speaker 2>nobody's going to get anything.

478
00:24:18.559 --> 00:24:20.599
<v Speaker 3>Why are you guys all doing it? I mean, you

479
00:24:20.599 --> 00:24:24.200
<v Speaker 3>can pipe up, but you don't have to be here, right,

480
00:24:24.400 --> 00:24:26.039
<v Speaker 3>I mean, you don't have to be doing this.

481
00:24:26.200 --> 00:24:30.519
<v Speaker 10>I have four blet's with four beautiful children with an eye,

482
00:24:31.559 --> 00:24:34.480
<v Speaker 10>but we have a real fiscal crisis and this is

483
00:24:34.480 --> 00:24:38.599
<v Speaker 10>not sustainable. And what's worse, back to my children and

484
00:24:38.599 --> 00:24:42.000
<v Speaker 10>everyone else's children, is are burdening them with that debt

485
00:24:42.880 --> 00:24:43.720
<v Speaker 10>and it's only going to grow.

486
00:24:43.720 --> 00:24:45.359
<v Speaker 3>See, there's not a lot of hierarchy here.

487
00:24:45.400 --> 00:24:47.720
<v Speaker 1>You guys are kind of all approaching it in different

488
00:24:48.640 --> 00:24:53.599
<v Speaker 1>you know, silos, but with the same kind of goal, right,

489
00:24:53.680 --> 00:24:57.519
<v Speaker 1>I mean, this is really silicon Valley private sector colliding

490
00:24:57.559 --> 00:24:58.119
<v Speaker 1>with government.

491
00:24:58.480 --> 00:25:01.200
<v Speaker 4>Yeah exactly, we're heading in bad path, but that the

492
00:25:01.319 --> 00:25:04.519
<v Speaker 4>chance of success exists. And just the one that I

493
00:25:04.599 --> 00:25:05.880
<v Speaker 4>just is in my head right now, which is a

494
00:25:05.920 --> 00:25:08.519
<v Speaker 4>fairly mundane one but I think is very illustrative, is

495
00:25:08.599 --> 00:25:14.119
<v Speaker 4>credit cards. There are in the federal government around four

496
00:25:14.160 --> 00:25:17.440
<v Speaker 4>point six million credit cards for around two point three

497
00:25:17.480 --> 00:25:21.519
<v Speaker 4>to two point four million employees. This doesn't make sense,

498
00:25:22.480 --> 00:25:24.400
<v Speaker 4>and so one of the things all the teams have

499
00:25:24.519 --> 00:25:27.200
<v Speaker 4>have worked on is we've worked with the agencies and said,

500
00:25:28.440 --> 00:25:30.200
<v Speaker 4>do you need all of these credit cards? Are they

501
00:25:30.240 --> 00:25:33.000
<v Speaker 4>being used? Can you tell us physically where they are?

502
00:25:33.160 --> 00:25:34.839
<v Speaker 3>I hope they're getting frequent flyers.

503
00:25:35.720 --> 00:25:38.680
<v Speaker 4>Actually, on a different note, the rewards program the federal

504
00:25:38.720 --> 00:25:41.359
<v Speaker 4>government has is actually not very good because that's a

505
00:25:41.400 --> 00:25:44.599
<v Speaker 4>whole other negotiation, right, yeah exactly, But so far the

506
00:25:44.640 --> 00:25:46.759
<v Speaker 4>teams have worked together and they've reduced it from four

507
00:25:46.759 --> 00:25:51.799
<v Speaker 4>point six million to four point three million, So we're

508
00:25:51.839 --> 00:25:52.400
<v Speaker 4>taking it easy.

509
00:25:52.559 --> 00:25:55.359
<v Speaker 2>Yeah, but clearly the should not be, you know more,

510
00:25:55.799 --> 00:25:58.519
<v Speaker 2>they should go more credit cards than there are people.

511
00:25:58.680 --> 00:26:00.880
<v Speaker 3>Joe, middle level employees.

512
00:26:01.079 --> 00:26:05.559
<v Speaker 1>Are they seeing a benefit to being empowered by taking

513
00:26:05.599 --> 00:26:06.920
<v Speaker 1>out bureaucracy?

514
00:26:07.160 --> 00:26:09.480
<v Speaker 5>I mean absolutely, I mean I think what you're seeing

515
00:26:09.519 --> 00:26:11.039
<v Speaker 5>is taking the best of silk combelling in the business

516
00:26:11.039 --> 00:26:12.720
<v Speaker 5>world and bringing it into the government. We're bringing the

517
00:26:12.759 --> 00:26:17.799
<v Speaker 5>best practices and the best methodologies, and people are inspired

518
00:26:18.400 --> 00:26:20.960
<v Speaker 5>right especially on the retirement processors I can speak to.

519
00:26:21.880 --> 00:26:24.559
<v Speaker 5>They've been trying to modernize and get off of paper

520
00:26:25.119 --> 00:26:30.599
<v Speaker 5>since early two thousands, very unsuccessfully. Every attempt has gone

521
00:26:30.599 --> 00:26:34.720
<v Speaker 5>over budget and been canceled because it hasn't been successful.

522
00:26:35.319 --> 00:26:37.920
<v Speaker 5>And so you know, I showed up and I feel

523
00:26:37.920 --> 00:26:40.279
<v Speaker 5>like I'm here because it's an interesting problem. We can

524
00:26:40.359 --> 00:26:43.880
<v Speaker 5>use design to solve it and good engineering and really

525
00:26:44.039 --> 00:26:45.799
<v Speaker 5>create a better experience for everybody.

526
00:26:45.920 --> 00:26:49.880
<v Speaker 2>We're talking about elementary financial controls that are necessary for

527
00:26:49.960 --> 00:26:53.680
<v Speaker 2>any company to function. So like if these can if

528
00:26:53.720 --> 00:26:57.680
<v Speaker 2>the pedal comment, if a commercial company operated the way

529
00:26:57.720 --> 00:27:01.240
<v Speaker 2>the pedal comma does, then it would be immediately go bankrupt,

530
00:27:02.079 --> 00:27:04.440
<v Speaker 2>it would be delisted, the officers would be arrested, and

531
00:27:04.480 --> 00:27:07.039
<v Speaker 2>the changes were putting in place will enable the federal

532
00:27:07.079 --> 00:27:10.279
<v Speaker 2>government to pass an ordered It will enable taxpayers to

533
00:27:10.319 --> 00:27:12.279
<v Speaker 2>know where the money is going and know that they're

534
00:27:12.279 --> 00:27:17.559
<v Speaker 2>harder and tax tax dollars are being spent well. The

535
00:27:17.559 --> 00:27:19.920
<v Speaker 2>ways that the government is defrauded is that the computer

536
00:27:19.960 --> 00:27:22.079
<v Speaker 2>systems don't talk to each other. So if the computer

537
00:27:22.400 --> 00:27:25.640
<v Speaker 2>systems don't talk to each other, then you can you

538
00:27:25.640 --> 00:27:29.559
<v Speaker 2>can exploit that gap, and frauds that exploit that gap

539
00:27:29.640 --> 00:27:33.119
<v Speaker 2>take advantage. For example, there were over three hundred million

540
00:27:33.119 --> 00:27:36.839
<v Speaker 2>dollars of small Business Administration loans that has been given

541
00:27:36.839 --> 00:27:39.359
<v Speaker 2>out to people under the age of eleven.

542
00:27:39.839 --> 00:27:41.759
<v Speaker 4>We'll actually to add to it three hundred million under

543
00:27:41.759 --> 00:27:43.720
<v Speaker 4>the age of eleven and over three hundred million to

544
00:27:43.880 --> 00:27:45.519
<v Speaker 4>over the age of one hundred and twenty.

545
00:27:46.240 --> 00:27:48.200
<v Speaker 3>Definitely small business loans.

546
00:27:48.240 --> 00:27:51.119
<v Speaker 2>Correct, Yes, the oldest American is one hundred and fourteen,

547
00:27:51.680 --> 00:27:53.559
<v Speaker 2>so it's safe to say if their age is one

548
00:27:53.599 --> 00:27:57.640
<v Speaker 2>hundred and fifteen or above, they're fake or they should

549
00:27:57.640 --> 00:28:00.400
<v Speaker 2>be in the games. Spoke on world records, and we

550
00:28:00.720 --> 00:28:04.640
<v Speaker 2>should not be giving out loans to babies. So the

551
00:28:06.559 --> 00:28:09.839
<v Speaker 2>youngest recipient of a Small Business Administration loan is a

552
00:28:09.920 --> 00:28:12.119
<v Speaker 2>nine month year old, which is a very very concious

553
00:28:12.119 --> 00:28:15.119
<v Speaker 2>baby we're talking about here, So obviously it was just

554
00:28:15.160 --> 00:28:18.200
<v Speaker 2>fraudulent and what they and they do terrible things. They

555
00:28:18.240 --> 00:28:20.680
<v Speaker 2>actually will see that a kid's been born, they will

556
00:28:20.680 --> 00:28:23.240
<v Speaker 2>steal that kid's Social Security number and then take out

557
00:28:23.240 --> 00:28:26.200
<v Speaker 2>a loan and leave that kid with a bad credit rating.

558
00:28:27.279 --> 00:28:29.960
<v Speaker 2>There's literally a baby. The terrible things are being done,

559
00:28:30.039 --> 00:28:32.799
<v Speaker 2>is what we're saying, and how we're stopping these terrible things,

560
00:28:32.880 --> 00:28:35.240
<v Speaker 2>and you can stop it. I mean, well, we are stopping.

561
00:28:35.680 --> 00:28:38.240
<v Speaker 9>The reason this is happening is because the two systems

562
00:28:38.279 --> 00:28:39.480
<v Speaker 9>are not talking to each other.

563
00:28:39.559 --> 00:28:40.599
<v Speaker 2>Yes, right, And.

564
00:28:40.519 --> 00:28:44.519
<v Speaker 9>So you don't know at the Small Business Administration that

565
00:28:44.559 --> 00:28:46.759
<v Speaker 9>you're giving a loan to a nine month old, which

566
00:28:46.759 --> 00:28:49.359
<v Speaker 9>happened in one case, because you're not cross referencing that

567
00:28:49.440 --> 00:28:52.400
<v Speaker 9>with the Social Security Administration data that has birth dates.

568
00:28:52.559 --> 00:28:56.319
<v Speaker 9>So that very very simple fix eliminates tremendous frat and

569
00:28:56.359 --> 00:28:59.240
<v Speaker 9>that there are multiple systems across the government where the

570
00:28:59.240 --> 00:29:01.079
<v Speaker 9>systems are not speaking with one another.

571
00:29:01.279 --> 00:29:02.000
<v Speaker 2>And if you just.

572
00:29:02.079 --> 00:29:06.359
<v Speaker 9>Solve that simple problem, you would solve a huge amount

573
00:29:06.359 --> 00:29:06.720
<v Speaker 9>of fraud.

574
00:29:06.960 --> 00:29:07.200
<v Speaker 7>Are you.

575
00:29:07.599 --> 00:29:10.359
<v Speaker 2>One of the ways, like one of the key tricks

576
00:29:10.440 --> 00:29:12.559
<v Speaker 2>that the frauds is pull is that they will use

577
00:29:12.599 --> 00:29:16.279
<v Speaker 2>the fact that someone is marked as live as sort

578
00:29:16.319 --> 00:29:19.039
<v Speaker 2>of just that that Social Security numbers marks is live

579
00:29:19.039 --> 00:29:23.319
<v Speaker 2>in Social Security and then then get disability and unemployment

580
00:29:23.319 --> 00:29:26.759
<v Speaker 2>insurance for a dead person. Because the databases don't talk

581
00:29:26.799 --> 00:29:29.680
<v Speaker 2>to each other. All they got was from Social Security?

582
00:29:29.759 --> 00:29:32.119
<v Speaker 2>Is like, is this person alive? Yes, they're not. They're

583
00:29:32.119 --> 00:29:36.160
<v Speaker 2>not alive if it's falsely mark person's falsely markerslive Social Security,

584
00:29:36.720 --> 00:29:41.319
<v Speaker 2>but they didn't. But fraudser can now get unemployment and

585
00:29:41.400 --> 00:29:45.640
<v Speaker 2>disability from a dead person. This is happening all the

586
00:29:45.680 --> 00:29:46.880
<v Speaker 2>time at scale.

587
00:29:47.119 --> 00:29:51.559
<v Speaker 1>Are you surprised at some of the legal efforts and

588
00:29:51.599 --> 00:29:53.880
<v Speaker 1>some of the judges that have weighed in there's about

589
00:29:53.880 --> 00:29:57.279
<v Speaker 1>eight or ten now of these cases that are at

590
00:29:57.359 --> 00:30:00.920
<v Speaker 1>least temporary holds. They're being challenged by the d JAY.

591
00:30:01.480 --> 00:30:03.400
<v Speaker 1>Are you surprised by that pushback?

592
00:30:04.279 --> 00:30:07.960
<v Speaker 2>Well, it's the DC circuit is notorious for having a

593
00:30:08.119 --> 00:30:12.680
<v Speaker 2>very far left blias. And when you look at the

594
00:30:12.720 --> 00:30:15.799
<v Speaker 2>people close to some of these judges, who are where

595
00:30:15.839 --> 00:30:18.599
<v Speaker 2>are they working? Are they working at these NGOs they're

596
00:30:18.599 --> 00:30:21.400
<v Speaker 2>getting the other ones getting this money? Does that seem

597
00:30:21.480 --> 00:30:24.640
<v Speaker 2>like a system that lacks corruption? It sounds like corruption

598
00:30:24.720 --> 00:30:24.920
<v Speaker 2>to me.

599
00:30:25.759 --> 00:30:28.000
<v Speaker 1>Last thing, do you guys all see this as a

600
00:30:28.039 --> 00:30:29.079
<v Speaker 1>patriotic duty?

601
00:30:29.559 --> 00:30:31.279
<v Speaker 3>Is that really what this is about?

602
00:30:31.680 --> 00:30:32.400
<v Speaker 2>It's essential?

603
00:30:32.440 --> 00:30:37.200
<v Speaker 7>So I do one hundred percent. I was running five

604
00:30:37.240 --> 00:30:40.400
<v Speaker 7>businesses in Houston and I left that. I left great

605
00:30:40.400 --> 00:30:44.039
<v Speaker 7>people to do this and my wonderful wife said go

606
00:30:44.160 --> 00:30:46.200
<v Speaker 7>for it, and here I am. But I feel like

607
00:30:46.240 --> 00:30:48.000
<v Speaker 7>this is me giving back to the country.

608
00:30:48.200 --> 00:30:52.880
<v Speaker 2>If we don't do this, we're sunk the ship. Unless

609
00:30:52.960 --> 00:30:56.640
<v Speaker 2>unless just exercise is successful, the ship of America will sink.

610
00:30:57.200 --> 00:30:58.160
<v Speaker 2>That's why we're doing it.

611
00:30:58.400 --> 00:31:03.200
<v Speaker 1>Well, gentlemen, I really appreciate the today, and hopefully it

612
00:31:03.240 --> 00:31:05.960
<v Speaker 1>took some of the myth and mystery out of DOGE

613
00:31:06.039 --> 00:31:07.480
<v Speaker 1>and what's happening behind the scenes.

614
00:31:08.000 --> 00:31:08.279
<v Speaker 2>Thank you.

615
00:31:09.599 --> 00:31:13.599
<v Speaker 1>We asked on AX your platform for some questions, and

616
00:31:14.319 --> 00:31:15.160
<v Speaker 1>here is c.

617
00:31:15.480 --> 00:31:16.039
<v Speaker 3>Spurling.

618
00:31:16.720 --> 00:31:19.599
<v Speaker 1>He writes, Are they happy with the speed at which

619
00:31:19.599 --> 00:31:22.559
<v Speaker 1>they're making changes? Are there any changes they would like

620
00:31:22.599 --> 00:31:24.000
<v Speaker 1>to make but haven't yet?

621
00:31:24.640 --> 00:31:27.720
<v Speaker 2>Well, I think in the context of the government, we're

622
00:31:27.720 --> 00:31:31.200
<v Speaker 2>moving like lightning. In the context of what I'm used

623
00:31:31.240 --> 00:31:36.480
<v Speaker 2>to moving, it's slower than I'd like. So what seems

624
00:31:36.519 --> 00:31:40.839
<v Speaker 2>like incredibly fast action by GOUTMA standards is slower than

625
00:31:40.839 --> 00:31:44.400
<v Speaker 2>I'd like to be totally frank but we're all making

626
00:31:44.400 --> 00:31:51.920
<v Speaker 2>solid progress. A very sort of thorny problem, a tough problem. Really,

627
00:31:51.960 --> 00:31:55.200
<v Speaker 2>it's kind of like painful homework. Frankly is reconciling all

628
00:31:55.240 --> 00:31:57.559
<v Speaker 2>of the government databases to eliminate the waste and fraud.

629
00:31:58.240 --> 00:32:01.119
<v Speaker 2>These databases don't talk to each other, and that's really

630
00:32:01.440 --> 00:32:04.880
<v Speaker 2>the source of that's the biggest vulnerability for fraud is

631
00:32:05.400 --> 00:32:07.200
<v Speaker 2>the fact that these databases don't talk to each other.

632
00:32:07.319 --> 00:32:11.200
<v Speaker 2>So we need to reconcile the databases. It's a frankly

633
00:32:11.200 --> 00:32:14.440
<v Speaker 2>painful homework, but it has to be done and we'll

634
00:32:16.079 --> 00:32:18.119
<v Speaker 2>greatly improve the efficiency of the government systems.

635
00:32:18.200 --> 00:32:20.960
<v Speaker 1>We didn't talk about any plans to approach cuts at

636
00:32:21.000 --> 00:32:21.599
<v Speaker 1>the Pentagon.

637
00:32:22.079 --> 00:32:22.759
<v Speaker 3>You're in there.

638
00:32:23.240 --> 00:32:25.799
<v Speaker 2>The Pentagon has not passing udits in a very long time.

639
00:32:27.880 --> 00:32:30.079
<v Speaker 2>I mean, as crazy as it sounds, they will lose

640
00:32:30.279 --> 00:32:33.039
<v Speaker 2>twenty thirty billion dollars a year and they don't know

641
00:32:33.079 --> 00:32:37.240
<v Speaker 2>where They literally don't know where it went. I mean,

642
00:32:37.319 --> 00:32:40.480
<v Speaker 2>Senator Collins was telling me about how she gave the

643
00:32:40.559 --> 00:32:45.119
<v Speaker 2>Navy twelve billion dollars for extra submarines, got zero extra submarines,

644
00:32:45.640 --> 00:32:47.960
<v Speaker 2>and then when she held a hearing, said where the

645
00:32:47.960 --> 00:32:49.759
<v Speaker 2>twelve billion dollars go? They didn't know.

646
00:32:50.200 --> 00:32:52.440
<v Speaker 1>Talking to those guys, and you have a great team

647
00:32:52.640 --> 00:32:55.880
<v Speaker 1>from all over the country, you don't have to be here.

648
00:32:55.960 --> 00:32:56.920
<v Speaker 3>You don't have to be here.

649
00:32:57.400 --> 00:33:00.680
<v Speaker 1>You know, there's now been these many cases of violence, vandalism,

650
00:33:00.839 --> 00:33:06.119
<v Speaker 1>at Tesla dealerships. How does that affect your employees, your customers,

651
00:33:06.160 --> 00:33:08.480
<v Speaker 1>What does it mean to you? Like, how have you

652
00:33:08.720 --> 00:33:09.359
<v Speaker 1>taken that in?

653
00:33:10.720 --> 00:33:12.519
<v Speaker 2>Well? I think I think a great wrong is being

654
00:33:12.559 --> 00:33:15.079
<v Speaker 2>done to the people of Tesla and to our customers.

655
00:33:15.599 --> 00:33:19.079
<v Speaker 2>Tesla is a peaceful company that has made great cars,

656
00:33:19.200 --> 00:33:24.119
<v Speaker 2>great products, that's all it's done, hasn't harmed anyone, and

657
00:33:24.200 --> 00:33:28.920
<v Speaker 2>yet people are committing violence. They're firebombing Tesla dealerships, they're

658
00:33:29.079 --> 00:33:34.799
<v Speaker 2>shooting guns into stores, they're threatening people that you know,

659
00:33:35.000 --> 00:33:38.480
<v Speaker 2>they're issuing death threats against me and another Tesla personnel.

660
00:33:40.079 --> 00:33:44.119
<v Speaker 2>What are they doing this for? Why? And what's happening?

661
00:33:44.160 --> 00:33:46.759
<v Speaker 2>It seems to me is they're being fed propaganda by

662
00:33:46.799 --> 00:33:53.079
<v Speaker 2>the far left and they believe it. It's really unfortunate.

663
00:33:54.000 --> 00:33:58.720
<v Speaker 2>But the real problem is not not the people. It's

664
00:33:58.720 --> 00:34:00.680
<v Speaker 2>not like that, the you know, the crazy guy that

665
00:34:01.000 --> 00:34:05.200
<v Speaker 2>fire bombs at Tesla dealership. It's the people pushing the

666
00:34:05.240 --> 00:34:11.519
<v Speaker 2>propaganda that that caused that guy to do it. Those

667
00:34:11.559 --> 00:34:14.639
<v Speaker 2>are the real villains here, and we're going to go

668
00:34:14.679 --> 00:34:16.800
<v Speaker 2>after them. And the Presence made it clear we're going

669
00:34:16.840 --> 00:34:19.880
<v Speaker 2>to go after them, the ones providing the money, the

670
00:34:19.920 --> 00:34:26.599
<v Speaker 2>ones pushing the lies, and propaganda. We're going after them.

671
00:34:26.960 --> 00:34:28.280
<v Speaker 3>And it's been this evolution.

672
00:34:28.360 --> 00:34:30.920
<v Speaker 1>I mean, the last administration was going to mandate electric

673
00:34:31.000 --> 00:34:34.199
<v Speaker 1>vehicles and now you see on the far left some

674
00:34:34.239 --> 00:34:35.880
<v Speaker 1>efforts to go after electric vehicles.

675
00:34:35.920 --> 00:34:36.679
<v Speaker 3>It's quite something.

676
00:34:37.039 --> 00:34:40.480
<v Speaker 2>It is ironic. I mean, it seems like the most

677
00:34:40.519 --> 00:34:41.920
<v Speaker 2>ironic outcome is most likely.

678
00:34:44.760 --> 00:34:47.519
<v Speaker 3>But yeah, I mean, un personally, it's got to take

679
00:34:47.519 --> 00:34:47.880
<v Speaker 3>a toll.

680
00:34:48.199 --> 00:34:55.199
<v Speaker 2>It does. Yeah, it does. I think there's some real

681
00:34:55.239 --> 00:35:00.000
<v Speaker 2>evil out there and we have to overcome it.

682
00:35:00.480 --> 00:35:03.719
<v Speaker 1>I mean, you have been called a Nazi, a white supremacist,

683
00:35:03.840 --> 00:35:04.599
<v Speaker 1>a fascist.

684
00:35:05.679 --> 00:35:06.760
<v Speaker 2>I mean they've got this sort of.

685
00:35:08.400 --> 00:35:08.880
<v Speaker 3>Yeah.

686
00:35:09.079 --> 00:35:10.800
<v Speaker 2>I mean they've still got it. They haven't. I guess

687
00:35:10.800 --> 00:35:15.239
<v Speaker 2>they still needs to call me Stalin, Mussolini, you know,

688
00:35:15.840 --> 00:35:20.079
<v Speaker 2>whatever or whatever. I mean, they've called the president all

689
00:35:20.079 --> 00:35:23.320
<v Speaker 2>these things. I think at one point there was a

690
00:35:23.360 --> 00:35:26.519
<v Speaker 2>magazine cover which which said the president was worse than

691
00:35:27.480 --> 00:35:30.199
<v Speaker 2>the president. Trump was worse than Hitler and Mussolini and

692
00:35:30.280 --> 00:35:35.440
<v Speaker 2>Stalin combined. The president hasn't killed anyone, he hasn't started

693
00:35:35.480 --> 00:35:40.199
<v Speaker 2>any wars. In fact, he's good at stopping wars. So

694
00:35:40.239 --> 00:35:44.480
<v Speaker 2>this is obviously they're pushing these lies. And why do

695
00:35:44.599 --> 00:35:47.519
<v Speaker 2>they push these lies? And I think we need to

696
00:35:47.519 --> 00:35:51.280
<v Speaker 2>hold people responsible for pushing these lives because those lies

697
00:35:51.880 --> 00:35:53.119
<v Speaker 2>almost got the present killed.

698
00:35:54.840 --> 00:35:56.840
<v Speaker 1>It's something that people want to know about the president.

699
00:35:56.840 --> 00:35:58.360
<v Speaker 1>You're pretty close to him now, you spend a lot

700
00:35:58.400 --> 00:36:00.880
<v Speaker 1>of time with them. What's something that people wouldn't know.

701
00:36:01.719 --> 00:36:04.920
<v Speaker 2>I think the President is a good man. I think

702
00:36:04.920 --> 00:36:09.679
<v Speaker 2>he is an honest man. And I have yet to

703
00:36:09.679 --> 00:36:15.719
<v Speaker 2>see him do anything mean or anything that is wrong

704
00:36:15.840 --> 00:36:19.280
<v Speaker 2>that I would say, Mali wrong, not even once you.

705
00:36:19.199 --> 00:36:20.719
<v Speaker 3>Know a lot is coming your way.

706
00:36:21.199 --> 00:36:24.920
<v Speaker 1>But sometimes you say stuff or post stuff that gets attention,

707
00:36:26.559 --> 00:36:29.679
<v Speaker 1>you give it out. In other words, Democratic Arizona Senator

708
00:36:29.679 --> 00:36:32.159
<v Speaker 1>Mark Kelly posted on ACT about his trip to Ukraine

709
00:36:32.639 --> 00:36:35.760
<v Speaker 1>to push for continuing to send US weapons and support there,

710
00:36:36.159 --> 00:36:37.880
<v Speaker 1>and you posted that he was a trader.

711
00:36:39.280 --> 00:36:39.960
<v Speaker 3>Why I do that?

712
00:36:40.480 --> 00:36:44.239
<v Speaker 2>Well, I think somebody should be should care about the

713
00:36:44.239 --> 00:36:47.280
<v Speaker 2>interests of the United States above the interest of another country.

714
00:36:48.719 --> 00:36:49.719
<v Speaker 2>They don't. They're a trader.

715
00:36:49.960 --> 00:36:52.800
<v Speaker 1>Yeah, but he's a decorative veteran, a former astronaut, a

716
00:36:52.880 --> 00:36:53.920
<v Speaker 1>sitting US senator.

717
00:36:55.960 --> 00:36:58.719
<v Speaker 2>That doesn't mean it's okay for him to put the

718
00:36:58.760 --> 00:36:59.920
<v Speaker 2>interest of another country above me.

719
00:37:01.599 --> 00:37:04.719
<v Speaker 1>Obviously, there are some Republicans who think supporting Ukraine is

720
00:37:05.079 --> 00:37:07.719
<v Speaker 1>the right thing still, but there is a battle back

721
00:37:07.719 --> 00:37:09.800
<v Speaker 1>and forth about how do you think it comes to

722
00:37:09.840 --> 00:37:10.239
<v Speaker 1>an end?

723
00:37:14.440 --> 00:37:19.679
<v Speaker 2>Well, I think there will be a negotiated peace. And

724
00:37:19.880 --> 00:37:22.719
<v Speaker 2>the thing that we should be concerned about is we

725
00:37:22.760 --> 00:37:25.559
<v Speaker 2>should have empathy for the thousands of people that are

726
00:37:25.599 --> 00:37:29.519
<v Speaker 2>dying every day in trenches for no movement in the lines.

727
00:37:30.280 --> 00:37:32.719
<v Speaker 2>So the borders remained the same for the past two years.

728
00:37:33.480 --> 00:37:38.360
<v Speaker 2>Thousands of people have died every week for nothing, for what?

729
00:37:40.559 --> 00:37:49.360
<v Speaker 2>And I take great offense at those who those who

730
00:37:49.360 --> 00:37:52.440
<v Speaker 2>put the appearance of goodness over the reality of it,

731
00:37:53.840 --> 00:37:56.559
<v Speaker 2>those who virtue signal and say, oh, we can't give

732
00:37:56.559 --> 00:38:00.519
<v Speaker 2>into Russia, but have no solution to stopping thou of

733
00:38:00.599 --> 00:38:04.079
<v Speaker 2>kids dying every day. They just want that to continue forever.

734
00:38:05.440 --> 00:38:07.360
<v Speaker 2>I have contempt for such people. I don't want to

735
00:38:07.360 --> 00:38:10.559
<v Speaker 2>make that clear. Yeah, so you're statific because they're bot

736
00:38:10.639 --> 00:38:15.639
<v Speaker 2>you signaling and their lack of a solution means that

737
00:38:16.119 --> 00:38:20.159
<v Speaker 2>kids don't have a father. It means that parents lost

738
00:38:20.159 --> 00:38:25.320
<v Speaker 2>a son for what. Nothing.

739
00:38:26.079 --> 00:38:29.199
<v Speaker 3>To your optimistic that the President's plan my work.

740
00:38:30.639 --> 00:38:33.239
<v Speaker 2>The president plan is the only thing that will work.