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Speaker 1: The Charlie Kirk Show starts.

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Speaker 2: Now, the Democrats are trying to.

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Speaker 3: Find their footing and it's it's quite embarrassing actually, I

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Speaker 3: mean Gavin Newsome, I mean, have you seen what he's

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Speaker 3: doing online?

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Speaker 2: And yeah, just take a deep breath, don't don't try

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Speaker 2: to turn this ship one hundred and eighty degrees and one.

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Speaker 3: They don't know what to do.

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Speaker 4: So you'll have a situation where local police in Boston

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Speaker 4: will arrest in illegal alien who's a child predator, and

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Speaker 4: ICE will then send what was called a detainer request

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Speaker 4: or a whole request, and we'll say, don't release this person,

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Speaker 4: hand them over to ICE, and we'll remove the child

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Speaker 4: predator from our community. Instead, these sanctuary mayors will order

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Speaker 4: the police department to ignore the federal request to set

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Speaker 4: them free, out of the jail, out of the prison,

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Speaker 4: and it will go back into the community, and then

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Speaker 4: they will re offend. They will hurt another little girl,

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Speaker 4: they will hurt in her little boy, and then Ice

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Speaker 4: has to spend weeks trying to scour in the community.

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Speaker 5: Following the wreck, investigators with the US DOT gave sing

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Speaker 5: an English language proficiency tests. According to a DOT Press release,

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Speaker 5: the driver failed the assessment, providing correct responses to just

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Speaker 5: two of twelve verbal questions and only accurately identifying one

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Speaker 5: of four highway traffic signs. Because Singh, who entered the

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Speaker 5: US from Mexico in twenty eighteen, is an asylum seeker

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Speaker 5: from India, the DOT says Washington State violated federal guidelines

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Speaker 5: by issuing him a full term commercial driver's license in

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Speaker 5: twenty twenty three, and they believe New Mexico State police

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Speaker 5: may have failed to assess his English during a roadside inspection.

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Speaker 1: Additionally, the DOT says it's.

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Speaker 5: Investigating whether California acted within federal guidelines when it issued

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Speaker 5: seeing a limited term CDL.

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Speaker 6: President Donald Trump's putting teeth into a decade's old federal

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Speaker 6: rule requiring commercial truck.

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Speaker 1: Drivers to read and speak English.

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Speaker 6: The executive order signed in April mandates that drivers must

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Speaker 6: pass on the spot English proficiency tests as a non

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Speaker 6: negotiable safety standard. Secretary of Transportation Sean Duffy says the

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Speaker 6: law put in place during the Obama administration has never

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Speaker 6: properly been enforced. The two step test requires drivers first

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Speaker 6: respond to authorities sufficiently in English. If the driver passes,

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Speaker 6: but the officer suspects and competency. Step two requires they

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Speaker 6: pass a highway traffic sign assessment.

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Speaker 7: The side of the road tests of regarding this executive

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Speaker 7: order is really about proficiency some basic English.

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Speaker 1: When you look at a sign, you understand.

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Speaker 8: What it means to protect.

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Speaker 5: Everyone on the road.

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Speaker 7: Now, if you look at the structure that's behind me,

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Speaker 7: it's tall, which makes it very very difficult to climb,

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Speaker 7: almost impossible. It also goes deep into the ground, which

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Speaker 7: would make it very difficult, if not impossible, to dig under.

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Speaker 7: And today we are also going to be painting it black.

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Speaker 7: That is specifically at the request of the President, who

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Speaker 7: understands that in the hot temperatures down here, when something

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Speaker 7: is painted black, it gets even warmer and it will

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Speaker 7: make it even harder for people to climb.

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Speaker 8: For the person who recently came here, this is your

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Speaker 8: city and you belong. We will say that every day.

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Speaker 8: We will say that in every single language, and we

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Speaker 8: will mean it, and we will put our resources behind it.

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Speaker 9: And so I want people to see him and understand

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Speaker 9: who he is. This is a person that has a

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Speaker 9: problem with people of color period. I don't care how

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Speaker 9: many black maga out there with ay hats, I want

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Speaker 9: to be clear when we look at who it is

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Speaker 9: that he's kicking out of this country as people of color,

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Speaker 9: When we look at who he always dis respects and

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Speaker 9: says that they are low a q even though when

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Speaker 9: you look at his cabinet, this has to be the

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Speaker 9: most incompetent cabinet we have ever had in the history

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Speaker 9: of this country.

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Speaker 10: Trump Trump wants the city of Boston, may it woot

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Speaker 10: to bow to his.

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Speaker 11: Dream of absolute power.

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Speaker 10: But today we are here to say Boston will not

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Speaker 10: bow down.

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Speaker 12: Silence in the face of oppression is not an option.

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Speaker 12: The US Attorney General asked for a response by today,

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Speaker 12: so here it is stop attacking our cities to hide

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Speaker 12: your administration's failures. Unlike the Trump administration, Boston follows the law,

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Speaker 12: and Boston will not back down from who we are

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Speaker 12: and what we stand for.

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Speaker 13: Charlie Kirk, every day is a battle for your mind,

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Speaker 13: raging information coming from every angle, but the will to deceive.

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Speaker 1: Fear not.

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Speaker 13: You found the place for truth, the voice of a

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Speaker 13: generation that still has the will to believe in the

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Speaker 13: greatest country in the history of the world.

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Speaker 1: This is the Charlie Kirk Show.

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Speaker 3: Fuck a lot.

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Speaker 1: Here we go on. Okay, everybody.

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Speaker 3: Radio stations across the country email us as always Freedom

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Speaker 3: at Charliekirk dot com. Here at the Bitcoin dot Com studio.

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Speaker 3: We are going to kick off the show today with

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Speaker 3: a very special guest is the Secretary of Transportation. As

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Speaker 3: we're continuing with us every day, we have a new

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Speaker 3: Cabinet Secretary, Sean Duffy. Mister Secretary, Great to see you,

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Speaker 3: mister Secretary. We're having you on under a story during

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Speaker 3: a story developing that is quite dark and unfortunately it

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Speaker 3: seems as if it is a bigger problem than people realize. Essentially,

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Speaker 3: we have a illegal alien, non English understanding truck driving

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Speaker 3: problem in this country. In Florida, there was a guy

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Speaker 3: that was let into the country. His name is har

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Speaker 3: Harbinger sing or Hard Ginger. I guess Harbinger also works

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Speaker 3: kind of deeply darkly ironic, where Joe Biden let him

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Speaker 3: in the country, gave him a work license, he got

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Speaker 3: a commercial driver's license, did not was not able to

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Speaker 3: read English, only got two out of twelve on his

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Speaker 3: proficiency test. He was driving U hauls across the country

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Speaker 3: and then he did an illegal U turn on a highway,

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Speaker 3: killing three Americans and then just kind of watching while

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Speaker 3: all the rubble and the bodies were taken out. How

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Speaker 3: common is this, mister Secretary, And why have we been

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Speaker 3: putting up with it in years past?

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Speaker 14: So listen, this has been brought to the nation's attention

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Speaker 14: with this crash, but this is something that the Department

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Speaker 14: has been working on for months. Again, we're concerned that

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Speaker 14: we have too many people who have come into the country,

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Speaker 14: they might have even gotten work from it, and they

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Speaker 14: can't speak the language, and they're getting full term CDLs.

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Speaker 14: That's exactly what Washington did for this driver, giving him

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Speaker 14: a whole term CDL by Trolie that's reserved for American

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Speaker 14: truck drivers American citizens to have that full term CDL.

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Speaker 14: And then California gave the same CDL COOM as well.

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Speaker 14: When is Washington won expired?

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Speaker 1: But here's a real problem.

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Speaker 14: We came out in May and said, listen English only,

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Speaker 14: our English proficiency for truck drivers is critical for safety.

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Speaker 14: And now some of the left gave us blowback, and

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Speaker 14: they gave us push back, and they said we were

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Speaker 14: being too harsh, they were anti immigrant, and we said, no, no,

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Speaker 14: this is about safety. You have to be able as

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Speaker 14: a truck driver to understand the road signs, but also

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Speaker 14: if you're pulled over, you have to be able to communicate,

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Speaker 14: whether you're at a way station or with law enforcement,

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Speaker 14: what's on your load, what are you carrying, where you're going,

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Speaker 14: where you're coming from. You have to be able to

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Speaker 14: communicate with law enforcement. And so this driver was pulled

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Speaker 14: over in New Mexico last month in July, after our

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Speaker 14: initiative was fully in the works, and they failed in

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Speaker 14: New Mexico and they pulled them over for speeding to

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Speaker 14: give them the English test, and had they done that,

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Speaker 14: they would have put his vehicle out of service and

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Speaker 14: taking them off the road. But because they didn't follow

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Speaker 14: our directive, he went back on the road and was

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Speaker 14: able to commit this horrific craft crash in in Florida,

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Speaker 14: taking three innocent lives with them. And so again we're

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Speaker 14: doing what we can at the DOT level. We have

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Speaker 14: to ask for states to participate with us because driver's

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Speaker 14: licenses are issued in the States. We are engaged in

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Speaker 14: a full investigation and through that there are a number

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Speaker 14: of issues based on that investigation that we can take

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Speaker 14: to inflict some pain to guarantee that our states are

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Speaker 14: complying with federal law and regulation.

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Speaker 3: And just to be clear, also, you need to be

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Speaker 3: able to communicate on a two way radio. If you're

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Speaker 3: driving a rig, you have to be able to know

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Speaker 3: where are we going. So he can't read the road signs,

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Speaker 3: he can't talk to police, he can't talk to people

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Speaker 3: about what he's kept carrying, and he can't talk on

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Speaker 3: the two way radio, so he doesn't understand English. We

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Speaker 3: have discovered though, this is not just a minor problem.

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Speaker 3: There are thousands and thousands and thousands of these all

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Speaker 3: across the country, and anecdotally, I think a lot of

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Speaker 3: people in the audience would agree that driving on our

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Speaker 3: highways it feels much more dangerous. I mean that you

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Speaker 3: have semi trucks gone all over the place. And now

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Speaker 3: it makes sense because we have a bunch of foreigners

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Speaker 3: that have not passed our driving test. This guy did

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Speaker 3: not even pass the test adequately. So and if his

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Speaker 3: English was so bad, how did these cops just let

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Speaker 3: him go in New Mexico? How do you communicate during

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Speaker 3: a traffic stuff? Do you have any insight into that, mister.

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Speaker 14: Secretary, so insight specifically, that's why we're having an investigation.

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Speaker 14: I don't want to comment on that specifically, but I

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Speaker 14: will tell you that in some of these states you

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Speaker 14: have liberal governors who don't want to comply with the law,

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Speaker 14: and they think that they know best and that we're

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Speaker 14: just trying to be mean to illegals. But when you

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Speaker 14: whether you're going to fly in an airplane, you're going

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Speaker 14: to be on a train, you're gonna be on the

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Speaker 14: American roadway, you deserve to be safe and you expect

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Speaker 14: that your federal government is going to have policies in

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Speaker 14: place that do keep you safe. And again they just

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Speaker 14: blatantly in New Mexico said we're not gonna comply with

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Speaker 14: federal regulation and give him that road test, by which

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Speaker 14: I mean, let's lay out what happened here. It's a

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Speaker 14: four lane highway with the you know, the grass in between,

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Speaker 14: and usually have those you know, little uh pieces of

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Speaker 14: whether it's gravel or concrete, where an emergency vehicle can

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Speaker 14: turn around on that freeway. This driver went into the

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Speaker 14: right lane, slowing down, and then turned into the left

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Speaker 14: lane trying to get into the uh you can see

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Speaker 14: it right there, into the into a turnaround which is

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Speaker 14: not authorised for a truck that size. But again when

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Speaker 14: he did that, he blocked the whole roadway. So this

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Speaker 14: is this is just common sense. This is this is

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Speaker 14: a common safety practice that any driver would say. This

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Speaker 14: is this is completely unsafe, whether you could read the

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Speaker 14: road signs or not. But when you have a complete

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Speaker 14: disregard for human safety and for the rules in which

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Speaker 14: anyone should comply with, just as a human being, not

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Speaker 14: even as an Americans, it's even that much more shot.

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Speaker 3: I agree, And I know you have to just you know,

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Speaker 3: sit while I say this, But common sense. Yeah, if

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Speaker 3: you're raised in America, we know not to do this.

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Speaker 3: But if you're raised in the Third World, like, okay,

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Speaker 3: go drive a New Deli, they're doing all sorts of

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Speaker 3: goofy stuff. They you know, they're avoiding cows. They're doing

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Speaker 3: all sorts of crazy stuff. This is a certain way

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Speaker 3: of thinking. And he had no he had no reason

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Speaker 3: to be on the road, let alone a commercial driver's license.

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Speaker 3: Third world traffic is a free for all nightmare. And

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Speaker 3: now you import the third World and you allow it

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Speaker 3: onto your streets. So Joe Biden had a task force

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Speaker 3: comprised of a bunch of Pete Bododha Judge's buddies. By

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Speaker 3: the way, next time Pete Buddha, Judge comes up for

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Speaker 3: an interview, so much an ask him about this. You're

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Speaker 3: doing a phenomenal job, mister secreary. Let me just say

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Speaker 3: you're a rock star. You're doing ten out of ten

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Speaker 3: and so and I know you're going to fix this.

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Speaker 3: There were hundreds of thousands, so basically, from what we understand,

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Speaker 3: there were four hundred thousand new commercial driver's licenses given

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Speaker 3: to migrants, refugees and illegals, thus flooding industry. I want

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Speaker 3: everyone understand, you're peat that there's four hundred thousand people

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Speaker 3: with commercial driver's licenses right now driving rigs. That's a

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Speaker 3: that's a public safety risk, mister secretary.

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Speaker 14: Which is why we change the rules right so again

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Speaker 14: making sure you speak the language. And by the way,

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Speaker 14: that that has been the rule of the road, you

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Speaker 14: got to speak English. What happened though, is Democrat administrations

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Speaker 14: has said, well, if you violate that, well we're going

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Speaker 14: to give you a slap on the risk. What we

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Speaker 14: said is no, no, we're going to put your vehicle out

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Speaker 14: of service. And probably that that's a big thing where

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Speaker 14: if you're pulled over and uh, you have to get

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Speaker 14: out of your rig and profit at a way station

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Speaker 14: and you got to wait for some of the driver

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Speaker 14: to come in. Uh that that the economic consequence of

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Speaker 14: that is real. And then you're going to see our

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Speaker 14: our haul ers make better decisions about who they hire

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Speaker 14: and knowing that they can speak the language. But but,

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Speaker 14: but I think this is a broader theme. And you've

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Speaker 14: you've covered the border a lot, you've talked about it.

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Speaker 14: The last administration had a sick set of ideals about

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Speaker 14: we want to let as many people from around the

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Speaker 14: world into this country, and then we want to let

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Speaker 14: them in and compete with American men and women in

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Speaker 14: some great jobs that are family supporting and drive the

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Speaker 14: wages down of those jobs, but also in danger Americans'

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Speaker 14: lives while they'll do it, whether they're the southern border,

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Speaker 14: whether they are cartel members, whether they're criminals, sexual predators,

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Speaker 14: drug dealers, or trucks drivers like wmen in this country,

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Speaker 14: the last administration didn't give a damn but the safety

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Speaker 14: and the well being of the American people. And this

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Speaker 14: is just one additional example of the lack of hair

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Speaker 14: they had for us. Let me tell you another issue Charlie.

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Speaker 14: That's also happening again. So we have neighbors to the

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Speaker 14: north and north neighbors to the south. Right, So in

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Speaker 14: Canada and Mexico, we allow, because a lot of products

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Speaker 14: move between our countries, will allow a Canadian truck driver

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Speaker 14: or a Mexican truck driver to drive into the US

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Speaker 14: to drop a low and once they drop it, their

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Speaker 14: VS allows them to turn right around and drive back

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Speaker 14: to their country of origin Canada or Mexico. What we

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Speaker 14: find happening is they'll actually pick up additional loads and

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Speaker 14: violation of their visa, violation of what we allow them

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Speaker 14: to do in this country, and they'll make two three

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Speaker 14: four six more stops in this country without authorization cabitat

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Speaker 14: and so we're working on that as well. Again, we

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Speaker 14: are going to follow the rules to the letter and

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Speaker 14: we're going to implement new regulation that Again, I think

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Speaker 14: our truck drivers are so angry about this. American truck

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Speaker 14: drivers who abide by the rules, they move our products

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Speaker 14: across the country. We saw during COVID how critical they

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Speaker 14: are in keeping our storage shelves stopped. They see this

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Speaker 14: happening and I think it gives their business a bad name.

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Speaker 14: They are fully supportive of what we're doing, which I'm

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Speaker 14: grateful for that, but also the fact that you bring

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Speaker 14: people in to compete with great American jobs or you

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Speaker 14: drive down wages. I want great truck driving jobs with

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Speaker 14: great pay because they do great work. And again that

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Speaker 14: the last administration didn't get give it, give a darn

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Speaker 14: about it is outrageous. But we love them. The President

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Speaker 14: loves them, and we're going to continue to look out

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Speaker 14: for them and make sure that if you come in,

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Speaker 14: you drive, you can speak the language, you can understand signs,

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Speaker 14: and you're going to keep our own resave.

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Speaker 3: And make no mistake. I know some of these guys,

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Speaker 3: these large trucking companies, they want low wage waverer. They

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Speaker 3: don't want to pay Americans, so they're happy hiring Harbinger

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Speaker 3: Sing and so that's a very important thing. Yeah. Sorry,

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Speaker 3: and I know that this is not your jurisdiction, mister Secretary,

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Speaker 3: but I will recommend publicly to Steven Miller and Christy Nolm.

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Speaker 3: We need to just deport them. And this is that

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Speaker 3: not your jurisdiction, but interagency cooperation to deport every single

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Speaker 3: CDL illegal non English speaking person driving. It's a weapon

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Speaker 3: on the road two extra minutes with Secretary Duffy. Stay

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Speaker 3: right there, Okay, Secretary Duffy is with US. Secretary Duffy,

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Speaker 3: any final thoughts on this the situation. Also, I know

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Speaker 3: you oversee NASA as well. There's other news besides this

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Speaker 3: kind of dark stuff we're dealing with. But please, so

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Speaker 3: just you know real.

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Speaker 14: Quick, it is a whole government approach. And what I

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Speaker 14: love about President Trump's cabinet is all of us look

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Speaker 14: for opportunities to work together. No one backstabs each other,

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Speaker 14: and so Christy and I have exchanged messages on this

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Speaker 14: very issue. Everyone has to work together to make sure

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Speaker 14: we serve the American people. And that's exactly what happens

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Speaker 14: to your point, just quick on on on NASA. You know,

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Speaker 14: everyone in the world, everyone in America knew the Apollo

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Speaker 14: program when we went back, we went to the moon

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Speaker 14: in the sixties and seventies. We're going back to the moon, Charlie.

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Speaker 14: Artemis two is going to go out and around the

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Speaker 14: Moon at the start of next year, and then Artemis

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Speaker 14: three and about it. A little more than a year

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Speaker 14: after that, we're going to go land back on the Moon.

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Speaker 14: And what we learn and by the way, we're going

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Speaker 14: to When we go, we're going to stay. We're going

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Speaker 14: to set up a camp. There's a bit of a

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Speaker 14: space race going on right now. There's a critical area

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Speaker 14: on the Moon that we want to get to. We

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Speaker 14: know that the Russians would like to get to the

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Speaker 14: Chinese as well, and so we want to be the

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Speaker 14: first ones back there. But what we learned when we

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Speaker 14: go to the Moon is going to instruct us on

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Speaker 14: how we get to Mars and again work great explorers

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Speaker 14: from the Pilgrims to the Pioneers were explorers, and they

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Speaker 14: used to say Charlie that he who controls the c's

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Speaker 14: controls the world. And I think as we look forward,

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Speaker 14: he who control space is going to control the world.

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Speaker 14: We do not want to see that to the Chinese,

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Speaker 14: and so it's an exciting time at NASA. We are

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Speaker 14: getting the directive away from the DEI, away from the Green.

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Speaker 14: We're going to comply with congressional requirements, but the focus

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Speaker 14: is human exploration. By the way, we're the only agency

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Speaker 14: that does that. There's a lot of people that can

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Speaker 14: do DII. I would disagree with it, a lot of

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Speaker 14: people can do green disagree with that as well. But

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Speaker 14: we do space exploration, and we are re realigning the

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Speaker 14: agency to do just that. It's an exciting time and

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Speaker 14: I'm looking forward to it.

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Speaker 3: Secretary Duffy, thank you so much for your time, and

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Speaker 3: keep the pressure on. Thank you, Thank you.

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Speaker 11: Charlie.

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Speaker 3: Everybody email us Freedom at charliekirk dot com and subscribe

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Speaker 3: to our podcast. That is the Charlie Kirkshaw podcast page

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Speaker 3: we have. And by the way, Secretar Duffy, he's terrific.

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Speaker 3: He's doing a great job. Let's just finish that point

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Speaker 3: and complete that point. Let's play cut four twenty nine

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Speaker 3: up on screen.

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Speaker 1: It's b roll.

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Speaker 3: This is your average road in India. Let's put this up.

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Speaker 3: You know something very interesting that Secretary Duffy said. He said,

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Speaker 3: it's not common sense. That's India right there. Now. It's

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Speaker 3: pretty amazing they're able to get that done. But with

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Speaker 3: a lot of traffic accidents and a lot of autopatile

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Speaker 3: it's chaos. So you bring in Harbinger Spring and Harbinger Singh,

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Speaker 3: who has not passed any of the tests, doesn't speak English.

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Speaker 1: This is what he used.

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Speaker 3: To uh driving a truck. Just the U turn baby,

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Speaker 3: and you expect though, oh well, it's just common sense.

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Speaker 3: He doesn't come in with commons. What we're talking about

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Speaker 3: is Western sense, Harbinger. Singh has no Western sense. Do

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Speaker 3: you know that one O O three truck drivers in

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Speaker 3: Canada are seek Now, I have nothing against siks. I

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Speaker 3: actually grew up with seeks. They're very warm and wonderful people,

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Speaker 3: and they're the people of the book. But one out

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Speaker 3: of three truck drivers. You cannot drive like that in

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Speaker 3: America when people expect drivers to respect the rules of

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Speaker 3: the road. This is the difference between Western civilization and

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Speaker 3: whatever that is. And yes, now three they're three dead Americans.

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Speaker 3: There are hundreds of thousands of foreign national alien invader

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Speaker 3: truck drivers, period, and not a single one of them

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Speaker 3: should be truck drivers. Hundreds of thousands, hundreds of thousands.

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Speaker 3: They don't speak English, they don't talk about they don't

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Speaker 3: even know English. And this is what's so interesting. Some

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Speaker 3: people say, well, Charlie, do you really want to deport

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Speaker 3: all these law abiding How about we start with the

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Speaker 3: truck drivers, four hundred thousand of them. They're taking jobs

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Speaker 3: from native born Americans that otherwise could be doing this work.

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Speaker 3: How many Black Americans, Hispanic Americans and Caucasian Americans, wide Americans.

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Speaker 3: These are low skilled jobs. The last thing we need

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Speaker 3: is one hundred thousand people from the third world. When

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Speaker 3: we talk about assimilation, that includes English. Email us freedom

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Speaker 3: at Charliekirk dot com. Stay right there, okay, everybody, welcome back.

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Speaker 3: Email us is always freedom at Charliekirk dot com and

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Speaker 3: subscribe to our podcast. We're here at the Bitcoin dot

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Speaker 3: com Studio. What have I told you? The Democrat Party

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Speaker 3: is facing a voter registration crisis in red, blue and

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Speaker 3: battleground states alike, losing ground to the Republican Party everywhere.

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Speaker 3: This is the front page of the New York Times today.

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Speaker 3: New York Times has this piece by it's Shane Goldmacher.

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Speaker 3: The party is bleeding support beyond the ballot box, a

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Speaker 3: new analysis show, and by the way, it's we are

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Speaker 3: only going to pour more gas on the fire because

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Speaker 3: at turning point USA and turning point Action, every day

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Speaker 3: we are registering new voters. Every single day, we are

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Speaker 3: out in the streets registering new voters grassroots, precinct by precinct,

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Speaker 3: campus by campus, church by church. All told, Democrats lost

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Speaker 3: two point one million registered voters between twenty twenty and

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Speaker 3: twenty twenty four elections. In the thirty states along with Washington,

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Speaker 3: d C. There are still more Democrats registered than Republicans nationwide,

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Speaker 3: partly because of big blue states like California, where they

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Speaker 3: registered by party, like Texas not. But their jectory is

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Speaker 3: troublesome for Democrats, and there are growing tensions over what

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Speaker 3: to do about it. By the way, these are in

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Speaker 3: some very very blue states.

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Speaker 1: You see this.

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Speaker 3: Democrats are down in Colorado, Democrats are hugely down in Nevada.

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Speaker 3: They're down significantly in Arizona, down significantly in Florida, down

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Speaker 3: significantly in Maine, down significantly in Iowa, down significantly in Oklahoma.

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Speaker 3: Now we should not treat this like an over success

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Speaker 3: story on the Republican side, but the Democrats are on

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Speaker 3: the wrong side of every single eighty twenty issue, every

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Speaker 3: single eighty twenty issue. Down significantly in Wyoming, down significantly

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Speaker 3: in Kentucky, down significantly in every major state. They've been

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Speaker 3: down seven percent in voter registration since twenty twenty. Consider this.

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Speaker 3: In twenty eighteen, Democrats accounted for thirty four percent of

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Speaker 3: new voter registration numbers, while Republicans were only twenty percent.

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Speaker 3: By twenty twenty four, Republicans had taken over Democrats among

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Speaker 3: new registerrents. What does that mean? That means that the

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Speaker 3: youth gen Z surge is sticking most new voters, not

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Speaker 3: all are young, and new voters are overwhelmingly Republican. Let's

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Speaker 3: let's get this chart up on screen. If we can

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Speaker 3: this one, I don't know if you guy, Yeah, that's

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Speaker 3: the one that's perfect.

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Speaker 1: Thank you.

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Speaker 3: The share of voters registering as Democrats as declined. The

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Speaker 3: remaining voters picked another political party, registered as an independent,

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Speaker 3: or declined to choose a party. The Times complying registration

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Speaker 3: data from L two and compard at the state records

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00:23:01,320 --> 00:23:04,600
Speaker 3: across the country for the scope of the registration declined

436
00:23:04,600 --> 00:23:08,560
Speaker 3: for Democrats. Democrats strategists say that this is a crisis

437
00:23:08,760 --> 00:23:11,000
Speaker 3: that must be reversed before the twenty twenty eight election,

438
00:23:11,280 --> 00:23:13,320
Speaker 3: and we're not going to let that happen. We have,

439
00:23:13,480 --> 00:23:16,120
Speaker 3: without a doubt, and we are scaling up the largest

440
00:23:16,200 --> 00:23:21,000
Speaker 3: voter registration operation in conservative movement history. Every day, our

441
00:23:21,080 --> 00:23:24,800
Speaker 3: over one thousand staff are registering new voters in Arizona, Nevada,

442
00:23:24,880 --> 00:23:28,040
Speaker 3: in Texas, in Iowa and Ohio. In North Carolina, we

443
00:23:28,119 --> 00:23:30,479
Speaker 3: just had our entire Turning Point action team doing it

444
00:23:30,480 --> 00:23:32,760
Speaker 3: for three weeks straight at the Iowa State Fair. And

445
00:23:32,800 --> 00:23:36,240
Speaker 3: it's new voters, it's young men, it's young Christians, it's

446
00:23:36,320 --> 00:23:40,280
Speaker 3: young ladies that all want to give their had their

447
00:23:40,320 --> 00:23:44,760
Speaker 3: worldview closer to that of the Western the Western order.

448
00:23:44,840 --> 00:23:47,080
Speaker 3: This is the favorability for the Democrat Party.

449
00:23:47,119 --> 00:23:47,679
Speaker 1: Four thirty.

450
00:23:47,960 --> 00:23:50,040
Speaker 3: This is how the favorable the Democrat Party is. It's

451
00:23:50,040 --> 00:23:53,479
Speaker 3: in full scale collapse. Why is this happening. Why are

452
00:23:53,520 --> 00:23:56,679
Speaker 3: younger voters moving so substantially to the right. It's because

453
00:23:56,760 --> 00:24:02,240
Speaker 3: younger voters participated in the largest, most sinister social experiment

454
00:24:02,720 --> 00:24:08,120
Speaker 3: in modern history. Pronouns, vaccine mandates, prom and graduation canceled

455
00:24:08,240 --> 00:24:13,320
Speaker 3: land acknowledgments, white men are systemically racist, Floyda palooza, white fragility,

456
00:24:13,359 --> 00:24:16,280
Speaker 3: and they are resisting and the Democrat Party remains toxic.

457
00:24:16,359 --> 00:24:19,359
Speaker 3: That's why I believe this upcoming campus tour is going

458
00:24:19,440 --> 00:24:21,760
Speaker 3: to be the biggest we've ever had at Turning Point USA.

459
00:24:21,840 --> 00:24:25,200
Speaker 3: Here's here's the spokespeople for the Democrat Party, the chattering class,

460
00:24:25,200 --> 00:24:28,639
Speaker 3: the mockingbirds talking about crime in DC. You want to

461
00:24:28,640 --> 00:24:31,840
Speaker 3: know why the Democrats are collapsing? Play cut four nineteen.

462
00:24:32,800 --> 00:24:35,639
Speaker 2: Gavin Newsome, he wants to own Donald Trump.

463
00:24:35,880 --> 00:24:37,359
Speaker 14: He wants to be Donald Trump.

464
00:24:37,480 --> 00:24:41,200
Speaker 1: Like you can't be Donald Trump. Like, hey, Gavin, talk

465
00:24:41,240 --> 00:24:41,640
Speaker 1: into the.

466
00:24:41,600 --> 00:24:46,359
Speaker 2: Camera and talk about making life more affordable. Like you're

467
00:24:46,440 --> 00:24:49,680
Speaker 2: trying to do everything to distract the American people from

468
00:24:49,680 --> 00:24:51,640
Speaker 2: the fact that you're screwing.

469
00:24:51,400 --> 00:24:53,280
Speaker 1: Up on job one.

470
00:24:53,680 --> 00:24:57,960
Speaker 2: And job one is helping working Americans and helping the

471
00:24:58,040 --> 00:25:01,760
Speaker 2: middle class afford their lives and build a life with

472
00:25:01,920 --> 00:25:05,359
Speaker 2: their children. Are going to live better than them. That's

473
00:25:05,400 --> 00:25:06,320
Speaker 2: the American dream.

474
00:25:06,400 --> 00:25:11,040
Speaker 3: And you have done nothing, okay, and they have a

475
00:25:11,080 --> 00:25:16,119
Speaker 3: complete meltdown here on the current state of the Democrat Party.

476
00:25:16,240 --> 00:25:19,280
Speaker 3: You can't be Donald Trump, Joe Scarborough says, and he's right.

477
00:25:21,240 --> 00:25:22,800
Speaker 3: We need to keep the main thing, the main thing.

478
00:25:22,960 --> 00:25:25,840
Speaker 3: What makes Turning Point USA and Turning Point Action different

479
00:25:26,080 --> 00:25:28,120
Speaker 3: is we show up and we work and we grind

480
00:25:28,280 --> 00:25:32,440
Speaker 3: every single day. Nobody works as hard, nobody's as ambitious.

481
00:25:33,320 --> 00:25:35,479
Speaker 3: And you look at the churches that we have at

482
00:25:35,480 --> 00:25:38,880
Speaker 3: our pastor summits, you look at the turning Point education,

483
00:25:39,000 --> 00:25:41,639
Speaker 3: you look at blecksit, you look at the high school chapters,

484
00:25:41,680 --> 00:25:44,400
Speaker 3: the college chapters. It is the grittiness and the work

485
00:25:44,440 --> 00:25:48,280
Speaker 3: that is going to save this great nation. Email us

486
00:25:48,320 --> 00:25:50,960
Speaker 3: as always Freedom at Charliekirk dot com and subscribe to

487
00:25:50,960 --> 00:25:55,560
Speaker 3: our podcast. Democrat Party is facing a voter registration crisis

488
00:25:55,560 --> 00:25:57,720
Speaker 3: in red blue and battleground states alike, losing ground to

489
00:25:57,800 --> 00:26:00,280
Speaker 3: GOP everywhere. Just wait till we get back on campus.

490
00:26:00,359 --> 00:26:02,720
Speaker 3: We are going to accelerate that collapse. We're going to

491
00:26:02,760 --> 00:26:05,639
Speaker 3: pour gas on that collapse, and we will further facilitate

492
00:26:05,680 --> 00:26:09,840
Speaker 3: the implosion and hopefully the destruction of the modern Democrat Party.

493
00:26:10,720 --> 00:26:29,160
Speaker 15: Sanctuary States next, Patriots welcome, leftist hate him, nobody ignores him.

494
00:26:29,440 --> 00:26:30,720
Speaker 1: It's the Charlie Kirk Show.

495
00:26:32,040 --> 00:26:34,800
Speaker 3: Okay, everybody, welcome back. Email us as always Freedom at

496
00:26:34,880 --> 00:26:39,040
Speaker 3: Charliekirk dot com. That is freedom at Charliekirk dot com.

497
00:26:39,160 --> 00:26:41,359
Speaker 3: I want to tell you guys about TikTok and play

498
00:26:41,359 --> 00:26:45,360
Speaker 3: one of our viral videos here. Let's go to Let's

499
00:26:45,359 --> 00:26:47,200
Speaker 3: see this is a fun one because we are going

500
00:26:47,280 --> 00:26:51,800
Speaker 3: very very viral on TikTok as TikTok Economic impact dot com. Ah, Yes,

501
00:26:51,880 --> 00:26:55,320
Speaker 3: the ultimate debate, the most important debate. We've already played

502
00:26:55,320 --> 00:27:00,280
Speaker 3: that one. Let's play it everyone. Let's say these are

503
00:27:00,359 --> 00:27:02,399
Speaker 3: kind of the same ones we got to get more guys.

504
00:27:02,400 --> 00:27:06,840
Speaker 3: Come on, let's play cut. Okay, cut twelve. Women want

505
00:27:06,880 --> 00:27:08,560
Speaker 3: to be able, they want to be taken care of.

506
00:27:08,640 --> 00:27:11,200
Speaker 3: I know this is like super provocative, like deep down

507
00:27:11,240 --> 00:27:12,879
Speaker 3: they want a man to be able to provide for

508
00:27:12,960 --> 00:27:15,520
Speaker 3: them financially. Should a man pay on the first thing,

509
00:27:16,720 --> 00:27:19,880
Speaker 3: Like what kind of a beta male is splitting the check?

510
00:27:20,040 --> 00:27:21,440
Speaker 1: But like who are you?

511
00:27:21,560 --> 00:27:24,000
Speaker 3: It's like, I'm just sorry, It's what I would go

512
00:27:24,359 --> 00:27:28,679
Speaker 3: to debt and like, let's scrub dishes before a woman did?

513
00:27:28,840 --> 00:27:31,960
Speaker 3: I split the check quite a lot, So I'm sorry.

514
00:27:32,000 --> 00:27:34,000
Speaker 3: I don't need to offend you. You guys are great.

515
00:27:34,119 --> 00:27:36,480
Speaker 3: That's incomprehensible to me. I think that's to me.

516
00:27:36,560 --> 00:27:38,360
Speaker 1: I thought it was a great financial decision.

517
00:27:38,640 --> 00:27:40,800
Speaker 3: Just okay, so from your prism, I totally get that,

518
00:27:40,920 --> 00:27:44,199
Speaker 3: and like you have really good financial discipline. I'm sorry,

519
00:27:44,320 --> 00:27:47,800
Speaker 3: Like I I would be so humiliated.

520
00:27:47,520 --> 00:27:50,920
Speaker 1: If I I mean, I find that to be.

521
00:27:50,880 --> 00:27:55,320
Speaker 3: Like the greatest beta male like humilityation, save money, no,

522
00:27:55,320 --> 00:27:58,160
Speaker 3: no to like the idea that a woman that you're

523
00:27:58,200 --> 00:28:00,560
Speaker 3: trying to court, if it's like.

524
00:28:00,480 --> 00:28:02,520
Speaker 1: A friend as a first date.

525
00:28:02,400 --> 00:28:05,679
Speaker 3: You don't even know if it is worth I'm sorry.

526
00:28:05,760 --> 00:28:08,119
Speaker 3: I by the way, that money you save is not

527
00:28:08,240 --> 00:28:11,200
Speaker 3: worth the honor that you compromise. See, it is such

528
00:28:11,200 --> 00:28:16,520
Speaker 3: a big deal, It's a massive deal. Watch more at

529
00:28:16,520 --> 00:28:20,159
Speaker 3: TikTok economic impact dot com. There's success means businesses, support

530
00:28:20,200 --> 00:28:23,760
Speaker 3: for families, stronger local economies, and more. TikTok Economic impact

531
00:28:23,800 --> 00:28:28,359
Speaker 3: dot Com. That is TikTok Economic impact dot Com. We

532
00:28:28,480 --> 00:28:35,800
Speaker 3: are presented with a neo confederate situation. Yesterday, the mayor

533
00:28:35,960 --> 00:28:40,640
Speaker 3: of Boston, Michelle Wu, went on and on and on

534
00:28:40,880 --> 00:28:44,240
Speaker 3: bragging about how she's going to continue to defy federal orders,

535
00:28:44,680 --> 00:28:48,600
Speaker 3: defy federal law enforcement, and even harbor illegal aliens, which

536
00:28:48,640 --> 00:28:53,080
Speaker 3: is in direct contradiction of federal law. In a long

537
00:28:53,080 --> 00:28:55,200
Speaker 3: past time for us to impanel a grand jury and

538
00:28:55,280 --> 00:28:58,400
Speaker 3: make a test case out of Boston Mayor Michelle Wu.

539
00:28:59,120 --> 00:29:00,760
Speaker 3: She can run her mouth and run her mouth, but

540
00:29:00,800 --> 00:29:04,560
Speaker 3: we will not put up with a neo confederate fractionalization

541
00:29:05,040 --> 00:29:10,360
Speaker 3: of this nation. This is Michelle Wou openly saying that

542
00:29:10,400 --> 00:29:12,960
Speaker 3: she's going to defy Donald Trump in the city of Boston.

543
00:29:13,960 --> 00:29:17,280
Speaker 3: It's long past time to unpanel a grand jury and

544
00:29:17,360 --> 00:29:19,000
Speaker 3: to arrest her. Play cut four h three.

545
00:29:19,920 --> 00:29:23,640
Speaker 12: Silence in the face of oppression is not an option.

546
00:29:24,120 --> 00:29:28,120
Speaker 12: The US Attorney General asked for a response by today.

547
00:29:28,480 --> 00:29:32,040
Speaker 12: So here it is, stop attacking our cities to hide

548
00:29:32,080 --> 00:29:42,800
Speaker 12: your administration's failures. Unlike the Trump administration, Boston follows the

549
00:29:42,880 --> 00:29:46,400
Speaker 12: law and Boston will not back down from who we

550
00:29:46,440 --> 00:29:48,400
Speaker 12: are and what we stand for.

551
00:29:50,840 --> 00:29:54,120
Speaker 3: They are collaborating in a foreign invasion and looting of

552
00:29:54,160 --> 00:29:58,280
Speaker 3: the United States of America. You are the lawless one. Now.

553
00:29:58,320 --> 00:30:00,760
Speaker 3: This clip is the key. This is Stephen Miller last

554
00:30:00,840 --> 00:30:05,280
Speaker 3: night on Hannity, who went into great detail. I think

555
00:30:05,280 --> 00:30:07,040
Speaker 3: it's time for this Department of Justice to make a

556
00:30:07,040 --> 00:30:11,760
Speaker 3: test case out of Miss Wu. It is technically they

557
00:30:11,800 --> 00:30:14,400
Speaker 3: have this like legal loophole, like, oh, we can decide

558
00:30:14,440 --> 00:30:16,680
Speaker 3: not to e collaborate as long as we're not contradicting.

559
00:30:16,920 --> 00:30:20,920
Speaker 3: She is admitting to harboring illegal aliens. Many people like

560
00:30:20,960 --> 00:30:24,560
Speaker 3: Harbinger saying the illegal U turn guy, how many of

561
00:30:24,640 --> 00:30:27,959
Speaker 3: those people right now are in your communities? Every single

562
00:30:28,000 --> 00:30:30,479
Speaker 3: one of them needs to be deported back to their

563
00:30:30,520 --> 00:30:34,000
Speaker 3: country of origin. Play cut four oh seven.

564
00:30:34,880 --> 00:30:37,920
Speaker 4: So you'll have a situation where local police in Boston

565
00:30:38,240 --> 00:30:41,520
Speaker 4: will arrest an illegal alien who's a child predator, and

566
00:30:41,680 --> 00:30:45,080
Speaker 4: ICE will then send was called a detainer request or

567
00:30:45,120 --> 00:30:48,320
Speaker 4: a whole request, and we'll say, don't release this person,

568
00:30:48,640 --> 00:30:51,320
Speaker 4: hand them over to ICE, and we'll remove this child

569
00:30:51,320 --> 00:30:57,080
Speaker 4: predator from our community. Instead, these sanctuary mayors will order

570
00:30:57,280 --> 00:31:01,200
Speaker 4: the police department to ignore the federal request to set

571
00:31:01,200 --> 00:31:04,840
Speaker 4: them free, out of the jail, out of the prison,

572
00:31:05,320 --> 00:31:07,680
Speaker 4: and they will go back into the community, and then

573
00:31:07,720 --> 00:31:10,200
Speaker 4: they will re offend. They will hurt another little girl,

574
00:31:10,400 --> 00:31:12,960
Speaker 4: they will hurt another little boy, and then Ice has

575
00:31:13,000 --> 00:31:17,480
Speaker 4: to spend weeks trying to scour in the community.

576
00:31:18,120 --> 00:31:21,440
Speaker 3: Listen, then, so you have a pedophile in Boston who

577
00:31:21,480 --> 00:31:24,120
Speaker 3: is arrested. I says, hey, we're going to remove them

578
00:31:24,160 --> 00:31:25,920
Speaker 3: for you in Boston says no, We're on their team,

579
00:31:25,960 --> 00:31:29,280
Speaker 3: not your team. This is happening thousands and thousands and

580
00:31:29,320 --> 00:31:31,920
Speaker 3: thousands of times a day. This is also why cities

581
00:31:32,280 --> 00:31:37,120
Speaker 3: will get raids. We do have federal supremacy in this country.

582
00:31:37,160 --> 00:31:39,760
Speaker 3: This is the new confederacy. We are on the verge

583
00:31:39,760 --> 00:31:43,560
Speaker 3: of a nullification crisis. We are on the verge of

584
00:31:43,600 --> 00:31:47,040
Speaker 3: the new nullifiers. This is an act of open rebellion

585
00:31:47,120 --> 00:31:50,600
Speaker 3: against the United States federal government. You don't get to

586
00:31:50,640 --> 00:31:57,560
Speaker 3: carve out little fiefdoms and corners of your choosing let's

587
00:31:57,560 --> 00:31:58,520
Speaker 3: play cut four aweight.

588
00:32:00,120 --> 00:32:03,200
Speaker 8: For the person who recently came here, this is your

589
00:32:03,240 --> 00:32:06,400
Speaker 8: city and you belong. We will say that every day.

590
00:32:08,760 --> 00:32:12,120
Speaker 8: We will say that in every single language, and we

591
00:32:12,160 --> 00:32:15,040
Speaker 8: will mean it, and we will put our resources behind it.

592
00:32:15,600 --> 00:32:17,640
Speaker 3: Do you see why that question of what as an

593
00:32:17,640 --> 00:32:21,200
Speaker 3: American is so important? Because for them, American is nothing.

594
00:32:21,240 --> 00:32:23,920
Speaker 3: It's to been diluted to nothing. Anyone can come here

595
00:32:24,120 --> 00:32:34,040
Speaker 3: all the time, no questions asked, Legal, illegal, no problem.

596
00:32:34,160 --> 00:32:38,440
Speaker 3: The sanctuary ordinances are sheltering people from federal arrest. Local

597
00:32:38,480 --> 00:32:43,800
Speaker 3: police will not honor the ice detainer requests. Now, federal

598
00:32:43,800 --> 00:32:45,960
Speaker 3: courts have said this is legal because of the anti

599
00:32:46,040 --> 00:32:50,360
Speaker 3: commandeering doctrine. That is complete rubbish. We need to steamroll

600
00:32:50,560 --> 00:32:53,959
Speaker 3: that entire legal apparatus brought to you by the Ninth Circuit.

601
00:32:55,720 --> 00:32:59,320
Speaker 3: It is complete nonsense. Not cooperating is impeding. But if

602
00:32:59,320 --> 00:33:01,400
Speaker 3: you read the I looked it up this morning, I

603
00:33:01,440 --> 00:33:04,360
Speaker 3: was like, how is this possibly legal? In Murphy versus

604
00:33:04,360 --> 00:33:08,120
Speaker 3: the NCAA and Prince versus the US in nineteen ninety seven,

605
00:33:08,240 --> 00:33:10,400
Speaker 3: it says that you cannot force city or states to

606
00:33:10,480 --> 00:33:14,000
Speaker 3: use their own officers and jails for federal programs. But

607
00:33:14,120 --> 00:33:16,920
Speaker 3: a city whose local police won't honor Ice requests should

608
00:33:17,000 --> 00:33:20,120
Speaker 3: lose all federal funding immediately. There are money ties here.

609
00:33:20,480 --> 00:33:23,960
Speaker 3: And just so we are clear, Mayor Wu want a

610
00:33:24,000 --> 00:33:27,080
Speaker 3: step further. She is acknowledged to harboring illegal aliens. That

611
00:33:27,240 --> 00:33:29,720
Speaker 3: is a felony. She won a step further. That is

612
00:33:29,720 --> 00:33:31,640
Speaker 3: why you have to make a test case out of

613
00:33:31,640 --> 00:33:35,000
Speaker 3: her grand jury and panel the grand jury, arrest her.

614
00:33:35,240 --> 00:33:37,960
Speaker 3: Purp Walker. By the way, just cut off Harvard, cut

615
00:33:37,960 --> 00:33:41,400
Speaker 3: off all you know, Boston has more universities per capita.

616
00:33:41,760 --> 00:33:44,960
Speaker 3: Cut off all the medicare money, cut off everything. So, oh,

617
00:33:44,960 --> 00:33:47,040
Speaker 3: you want to go play this game, Boston. You want

618
00:33:47,080 --> 00:33:49,280
Speaker 3: to go be a neo Confederate state. You want to

619
00:33:49,280 --> 00:33:53,040
Speaker 3: go Massachusetts, Go fund yourself. It's not going to work

620
00:33:53,080 --> 00:33:56,480
Speaker 3: out well. We will bring you to your knees. We

621
00:33:56,480 --> 00:33:59,160
Speaker 3: will bring you to your knees and invoke your surrender

622
00:33:59,400 --> 00:34:03,320
Speaker 3: until we allow allow Ice to walk through Logan Park,

623
00:34:03,680 --> 00:34:07,360
Speaker 3: to walk by the downtown streets of Boston, block by block,

624
00:34:07,800 --> 00:34:12,080
Speaker 3: house by house, person by person. We will break your will.

625
00:34:12,200 --> 00:34:15,840
Speaker 3: Boston and Michelle Wou, you talk a big game. Just

626
00:34:15,880 --> 00:34:19,759
Speaker 3: wait until you are facing a twenty or thirty charge indictment.

627
00:34:19,800 --> 00:34:23,200
Speaker 3: As the mayor of Boston. Two can play this game

628
00:34:23,360 --> 00:34:24,880
Speaker 3: and you want to kind of talk like you're some

629
00:34:24,920 --> 00:34:30,279
Speaker 3: sort of uppity college professor. They are perfectly fine with

630
00:34:30,360 --> 00:34:33,239
Speaker 3: alien invaders just harboring in Boston, and they are going

631
00:34:33,280 --> 00:34:35,600
Speaker 3: out of their way to protect them. And Gavin Newsom

632
00:34:35,640 --> 00:34:37,480
Speaker 3: is no different. In Brandon Johnson is no different. In

633
00:34:37,520 --> 00:34:42,960
Speaker 3: Karen Bass is no different. This city is actively harboring

634
00:34:43,000 --> 00:34:48,800
Speaker 3: and obstructing federal operations. The Civil War settled the question

635
00:34:48,880 --> 00:34:50,080
Speaker 3: that federal law is supreme.

636
00:34:50,280 --> 00:34:51,040
Speaker 1: You don't get to.

637
00:34:51,000 --> 00:34:54,319
Speaker 3: Carve out your own little corners where Washington's laws do

638
00:34:54,400 --> 00:34:58,200
Speaker 3: not apply. This is not about left versus right. This

639
00:34:58,239 --> 00:35:02,960
Speaker 3: is about law versus lawlessness, union versus disunion. Sanctuary cities

640
00:35:03,000 --> 00:35:05,920
Speaker 3: are the new Confederacy, and America cannot afford to let

641
00:35:05,920 --> 00:35:09,480
Speaker 3: them win this time. This virus is impossible to contain.

642
00:35:10,600 --> 00:35:13,200
Speaker 3: These illegals, like the CDL story, they don't stay in

643
00:35:13,239 --> 00:35:16,840
Speaker 3: blue districts. They travel the road like missiles on roadways.

644
00:35:17,280 --> 00:35:20,000
Speaker 3: It's a cancer that metastasizes the rest of the nation.

645
00:35:20,320 --> 00:35:23,279
Speaker 3: They traffic people, they traffic jugs. They do illegal U

646
00:35:23,320 --> 00:35:27,560
Speaker 3: turns on Florida streets and kill three innocent Americans. So

647
00:35:27,680 --> 00:35:29,600
Speaker 3: either we are going to have the will to do

648
00:35:29,640 --> 00:35:32,760
Speaker 3: this or not. The leftists somehow created this fake reality

649
00:35:32,760 --> 00:35:35,440
Speaker 3: where they can outright flout immigration laws. It is a

650
00:35:35,480 --> 00:35:39,360
Speaker 3: conspiracy against the existence of our nation and our country.

651
00:35:39,640 --> 00:35:44,040
Speaker 3: All we want fundamentally is law and order, justice and fairness. Now,

652
00:35:44,080 --> 00:35:47,799
Speaker 3: two thoughts on this, the first of which is any

653
00:35:47,800 --> 00:35:49,560
Speaker 3: mayor that does this needs to make an example of

654
00:35:49,640 --> 00:35:52,160
Speaker 3: and just cut the funding. Enough is enough, Just cut

655
00:35:52,200 --> 00:35:54,520
Speaker 3: Boston at the knees. You guys want to play hardball.

656
00:35:54,719 --> 00:36:01,040
Speaker 3: All your little schools, Boston University, Boston College, University of Massachusetts, UMass, Boston, Massachusetts.

657
00:36:01,160 --> 00:36:05,120
Speaker 3: You know, mit, Harvard University. You got more colleges per

658
00:36:05,120 --> 00:36:08,720
Speaker 3: capital than any city the nation. Cut them off, say enough,

659
00:36:09,800 --> 00:36:13,800
Speaker 3: we're done, Go fund yourself. Boston College. Mit, Oh, you

660
00:36:13,800 --> 00:36:16,880
Speaker 3: don't want to any more. That's interesting, all because they

661
00:36:16,920 --> 00:36:22,040
Speaker 3: are harboring this problem the interior of the nation. And

662
00:36:22,120 --> 00:36:25,560
Speaker 3: let me go a step further. Some Americans, you know,

663
00:36:25,680 --> 00:36:29,080
Speaker 3: we had a dinner recently, and some Americans, so, you know, Charlie,

664
00:36:29,760 --> 00:36:31,640
Speaker 3: the ones that are working hard, we should let them

665
00:36:31,680 --> 00:36:34,880
Speaker 3: stay here. Like Harbinger Sing. He was working hard. Harbinger

666
00:36:34,960 --> 00:36:39,040
Speaker 3: Sing was working really really hard. Harbinger Sing was driving

667
00:36:39,120 --> 00:36:43,720
Speaker 3: trucks and he was quote unquote not a criminal until

668
00:36:43,719 --> 00:36:46,080
Speaker 3: he does an illegal U turn DUIs. You know the

669
00:36:46,160 --> 00:36:48,840
Speaker 3: thousands and thousands of DUIs a month are by illegal

670
00:36:48,880 --> 00:36:52,920
Speaker 3: aliens all across the country. Do we have the stomach

671
00:36:53,560 --> 00:36:56,600
Speaker 3: to have one year of immigration law? Just one year?

672
00:36:58,880 --> 00:37:01,640
Speaker 3: Massachusetts is talking big game. This is Senator at Marquis

673
00:37:02,440 --> 00:37:05,120
Speaker 3: play cut four O four Trump.

674
00:37:05,800 --> 00:37:11,080
Speaker 10: Trump wants the city of Boston Mayor Woo to bow

675
00:37:11,120 --> 00:37:13,440
Speaker 10: to his dream of absolute power.

676
00:37:13,920 --> 00:37:15,400
Speaker 1: But today we.

677
00:37:15,480 --> 00:37:20,480
Speaker 10: Are here to say Boston will not bow down.

678
00:37:24,280 --> 00:37:31,440
Speaker 3: Challenge accepted, mister Marky. Challenge accepted. Federal government holds the cards.

679
00:37:32,040 --> 00:37:34,040
Speaker 3: How are you guys gonna do without your Medicaid money,

680
00:37:34,040 --> 00:37:37,160
Speaker 3: Medicare money? How are you gonna do without your transportation money?

681
00:37:37,520 --> 00:37:39,839
Speaker 3: Federal government can delay all that, and we will make

682
00:37:39,880 --> 00:37:42,160
Speaker 3: a test case. I don't speak for the federal government,

683
00:37:42,160 --> 00:37:44,360
Speaker 3: but the movement itself will make a test case at

684
00:37:44,400 --> 00:37:47,640
Speaker 3: some point. Threaten their money. But also make sure that

685
00:37:47,719 --> 00:37:51,279
Speaker 3: Michelle Wu is facing a grand jury investigation. Open it up,

686
00:37:51,520 --> 00:37:54,560
Speaker 3: Open up that grand jury investigation. If you are betraying

687
00:37:54,600 --> 00:37:56,920
Speaker 3: America and actively a trader against the United States, you

688
00:37:56,920 --> 00:37:59,000
Speaker 3: should fear going to jail for twenty five years, forty

689
00:37:59,040 --> 00:38:04,600
Speaker 3: years for life. How on earth is this not impeding?

690
00:38:04,640 --> 00:38:06,560
Speaker 3: Why are we putting up with this? And I think

691
00:38:06,560 --> 00:38:09,440
Speaker 3: the Trump administration completely agrees. I think that we have

692
00:38:09,480 --> 00:38:14,680
Speaker 3: a harmonic We're in lockstep with harmony right now. This

693
00:38:14,800 --> 00:38:17,000
Speaker 3: is the definition of impeding ice in the FEDS. And

694
00:38:17,000 --> 00:38:19,759
Speaker 3: once you indict Michelle Wu, go indyte Karen Bess and

695
00:38:19,800 --> 00:38:24,600
Speaker 3: after that maryel Bowser, after that the lunatic that is

696
00:38:24,680 --> 00:38:28,560
Speaker 3: running Chicago, Brandon Johnson, one after the other. We need

697
00:38:28,600 --> 00:38:31,000
Speaker 3: to have purp walks of these Democrat mayors all across

698
00:38:31,040 --> 00:38:33,239
Speaker 3: the country. Playtime is over. We've given them eight months

699
00:38:33,280 --> 00:38:36,920
Speaker 3: to comply. You have ailien, illegal invaders, pedophiles, drug traffickers,

700
00:38:36,920 --> 00:38:39,640
Speaker 3: sex traffickers, and the cities like, nope, we're impeding you.

701
00:38:39,800 --> 00:38:42,279
Speaker 3: We're not complying with your detainer. This is what we

702
00:38:42,360 --> 00:38:44,480
Speaker 3: are one nation, we are one people. We are not

703
00:38:44,520 --> 00:38:48,000
Speaker 3: a neo confederacy. There's nothing to do with Article ten.

704
00:38:48,200 --> 00:38:50,320
Speaker 3: There's nothing new with the tenth Amendment. Which is hilarious

705
00:38:50,320 --> 00:38:52,520
Speaker 3: because the Tenth Amendment, the Democrats have done everything they

706
00:38:52,520 --> 00:38:54,799
Speaker 3: can to steamroll tent Amendment rights over the last couple

707
00:38:54,880 --> 00:38:57,480
Speaker 3: decades so they can sit this one out. When it

708
00:38:57,520 --> 00:39:01,480
Speaker 3: came to lockdowns or vaccine mandates or conscientious objectures, they

709
00:39:01,480 --> 00:39:03,759
Speaker 3: wanted nothing to attend the amendments, but to protect alien and

710
00:39:04,040 --> 00:39:06,279
Speaker 3: illegal invaders. All of a sudden, they're super libertarian. No,

711
00:39:06,400 --> 00:39:08,160
Speaker 3: you just guys want anarchy. You want to flood the

712
00:39:08,239 --> 00:39:12,000
Speaker 3: zone with foreigners to remake and replace the native population

713
00:39:12,040 --> 00:39:13,480
Speaker 3: of this country. We're not gonna put up with it.

714
00:39:13,600 --> 00:39:17,719
Speaker 3: Michelle Wu, you are test case. You are the guinea pig.

715
00:39:17,719 --> 00:39:19,160
Speaker 3: You are going to be the one that we try

716
00:39:19,200 --> 00:39:21,080
Speaker 3: this out on because I'm telling you you have reached

717
00:39:21,080 --> 00:39:23,360
Speaker 3: too far. You have crossed the line, and dare I

718
00:39:23,440 --> 00:39:25,839
Speaker 3: say to go back? Michelle Wu, what you are doing

719
00:39:25,920 --> 00:39:29,040
Speaker 3: might be a harbinger for things to come. All inspired

720
00:39:29,040 --> 00:39:32,040
Speaker 3: by harbinger Singh who killed three people in Florida. A

721
00:39:32,080 --> 00:39:36,880
Speaker 3: bridge too far, a step to too much in the distance,

722
00:39:37,960 --> 00:39:40,040
Speaker 3: and panel the Grand Jury cut the funds, bring them

723
00:39:40,040 --> 00:39:42,440
Speaker 3: to their knees, and restore order because we are one

724
00:39:42,520 --> 00:39:45,200
Speaker 3: nation and one people. Reliefactor dot Com one hundred percent

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727
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Speaker 3: knee pain, backpain, joint pain, ale pain. So check it

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Speaker 3: out right now at reliefactor dot com. That is Reliefactor

729
00:39:53,680 --> 00:39:55,880
Speaker 3: dot com. Try the three quick start for this nineteen

730
00:39:55,960 --> 00:39:58,600
Speaker 3: ninety five. That is relief Factor dot Com. Relief Factor

731
00:39:58,680 --> 00:40:01,280
Speaker 3: dot com. Email us there is always freedom. At Charliekirk

732
00:40:01,320 --> 00:40:03,480
Speaker 3: dot com. We're gonna play a little my Oxford speech.

733
00:40:03,280 --> 00:40:19,080
Speaker 13: Next one hundred percent American Maid darn proud of it,

734
00:40:19,200 --> 00:40:20,239
Speaker 13: The Charlie Kirk Show.

735
00:40:21,480 --> 00:40:25,239
Speaker 3: Let's watch this viral video that is really important. I

736
00:40:25,239 --> 00:40:27,719
Speaker 3: think you're enjoyed. Email us freedom at Charliekirk dot com.

737
00:40:27,760 --> 00:40:31,879
Speaker 3: Watch this before I begin my prepared remarks, I feel

738
00:40:31,880 --> 00:40:34,000
Speaker 3: like I got to run the gauntlet first. I'll give

739
00:40:34,000 --> 00:40:35,799
Speaker 3: you a thousand pounds right now if you could tell

740
00:40:35,840 --> 00:40:37,839
Speaker 3: me the US citizen that was deported under Donald Trump.

741
00:40:37,880 --> 00:40:41,239
Speaker 3: You said that twice. Yeah, the US citizen that was

742
00:40:41,239 --> 00:40:43,280
Speaker 3: deported under Donald Trump. Can anyone tell me thousand pounds?

743
00:40:43,280 --> 00:40:43,960
Speaker 3: I'll give it you right now.

744
00:40:44,160 --> 00:40:45,600
Speaker 1: Yeah, name wrong.

745
00:40:45,680 --> 00:40:47,800
Speaker 3: Not a US citizen, Salvador said, as in l Salvador,

746
00:40:47,800 --> 00:40:50,320
Speaker 3: anywhere else US sit is in deport under Trump.

747
00:40:50,400 --> 00:40:51,319
Speaker 14: Nope, that was a lie.

748
00:40:51,360 --> 00:40:52,880
Speaker 3: You should know better than that. You go to Oxford.

749
00:40:52,920 --> 00:40:54,719
Speaker 3: So that is a correction number two. Can you tell

750
00:40:54,719 --> 00:40:57,160
Speaker 3: me when it comes to Charlottesville something you said when

751
00:40:57,239 --> 00:40:59,640
Speaker 3: Donald Trump said that there were people on both sides,

752
00:41:00,480 --> 00:41:03,520
Speaker 3: he was actually talking about the statue debate, not what

753
00:41:03,560 --> 00:41:03,879
Speaker 3: you said.

754
00:41:03,880 --> 00:41:06,640
Speaker 1: So that's a hoax. That's line number two. Oh yeah,

755
00:41:06,680 --> 00:41:07,120
Speaker 1: you said that.

756
00:41:07,200 --> 00:41:10,959
Speaker 3: Somebody over here said something about Pete Hegseth being nothing

757
00:41:10,960 --> 00:41:11,960
Speaker 3: more than a TV host.

758
00:41:12,239 --> 00:41:13,040
Speaker 1: You should also.

759
00:41:12,840 --> 00:41:17,680
Speaker 3: Mention that he was a service member of the military. Nope, sorry,

760
00:41:17,680 --> 00:41:20,760
Speaker 3: I'm going to talk on uninterruptedly. Thank you service member

761
00:41:20,960 --> 00:41:23,240
Speaker 3: and was in a decorated war hero.

762
00:41:24,120 --> 00:41:25,200
Speaker 1: Funny you didn't mention that.

763
00:41:25,800 --> 00:41:29,120
Speaker 3: Oh yes, January sixth came up multiple times from you

764
00:41:29,200 --> 00:41:30,000
Speaker 3: tried your best, but.

765
00:41:29,960 --> 00:41:30,480
Speaker 1: From you.

766
00:41:32,080 --> 00:41:36,560
Speaker 3: And from the opposition, it's not an insurrection. You've called

767
00:41:36,560 --> 00:41:54,320
Speaker 3: them all rioters. It's funny. Okay, everybody, welcome back before

768
00:41:54,400 --> 00:41:57,319
Speaker 3: we watch a little bit of my viral exchange at

769
00:41:57,360 --> 00:42:01,000
Speaker 3: Oxford University, very viral. When I tell you about Patriot Mobile,

770
00:42:01,160 --> 00:42:03,240
Speaker 3: you have a lot of choices for cell phone service,

771
00:42:03,400 --> 00:42:05,239
Speaker 3: with new ones popping up all the time. But here's

772
00:42:05,280 --> 00:42:07,799
Speaker 3: the truth. There's only one that boldly stands in the

773
00:42:07,800 --> 00:42:11,080
Speaker 3: gap for every American that believes that freedom is truly

774
00:42:11,080 --> 00:42:13,240
Speaker 3: worth fighting for and that is Patriot Mobile.

775
00:42:13,360 --> 00:42:14,880
Speaker 1: The good news is that you could switch.

776
00:42:14,680 --> 00:42:18,440
Speaker 3: To Patriot Mobile today without sacrificing quality and service. If

777
00:42:18,440 --> 00:42:21,000
Speaker 3: you're worried about coverage, don't be. Patriot Mobile uses all

778
00:42:21,000 --> 00:42:23,400
Speaker 3: three major US networks. If you have service in this

779
00:42:23,480 --> 00:42:28,080
Speaker 3: country today, you'll have service and better coverage with Patriot Mobile.

780
00:42:28,160 --> 00:42:30,399
Speaker 3: Go to Patriot Mobile dot com slash Charlie or called

781
00:42:30,440 --> 00:42:32,799
Speaker 3: nine seven to two Patriot. Use promo code Charlie to

782
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Speaker 3: get a free month of service. Switch today that is

783
00:42:35,080 --> 00:42:37,719
Speaker 3: Patriot Mobile dot com slash Charlie or called nine seven

784
00:42:37,760 --> 00:42:40,880
Speaker 3: two Patriot. Let's end this hour everybody by listening to

785
00:42:40,960 --> 00:42:46,000
Speaker 3: my very viral exchange at Oxford University. Watch you called

786
00:42:46,040 --> 00:42:49,239
Speaker 3: them all rioters. It's funny a small percentage of people

787
00:42:49,239 --> 00:42:51,520
Speaker 3: that were actually there on January sixth did anything violently.

788
00:42:51,560 --> 00:42:54,640
Speaker 3: The vast majority walked into the Capitol building after they

789
00:42:54,640 --> 00:42:58,040
Speaker 3: were invited. Also, back to your point, I certainly hope

790
00:42:58,040 --> 00:43:00,880
Speaker 3: reform at AfD wins. So I hope that it's not

791
00:43:01,000 --> 00:43:02,480
Speaker 3: to teach Trump a lesson that he goes too far.

792
00:43:02,480 --> 00:43:03,320
Speaker 3: We'll get that in a second.

793
00:43:03,560 --> 00:43:05,600
Speaker 1: Finally, the Donald Duck really like, what was that all about?

794
00:43:05,640 --> 00:43:06,160
Speaker 1: What does this jar?

795
00:43:06,239 --> 00:43:07,600
Speaker 3: I have no idea what you're talking about in the

796
00:43:07,600 --> 00:43:10,000
Speaker 3: back of the room, so it's completely lost on me.

797
00:43:10,120 --> 00:43:13,120
Speaker 1: So I don't know what that's all about.

798
00:43:13,880 --> 00:43:16,319
Speaker 3: Also, on the Canadian border, the professor failed to mention

799
00:43:16,760 --> 00:43:19,800
Speaker 3: that the Canadian border was closed. President Trump said fetanyl

800
00:43:19,880 --> 00:43:21,960
Speaker 3: and the amount of terrorists that are coming across the

801
00:43:22,040 --> 00:43:24,279
Speaker 3: Canadian border, of which the most terrorists that come into

802
00:43:24,320 --> 00:43:27,439
Speaker 3: America come across the Canadian border on the terrorist watch list.

803
00:43:27,719 --> 00:43:30,919
Speaker 3: You did not mention that. And finally, professor, you never

804
00:43:31,000 --> 00:43:34,080
Speaker 3: heard of it in South Africa. Interesting you never heard

805
00:43:34,120 --> 00:43:36,600
Speaker 3: of that, the fact that a major political party in

806
00:43:36,600 --> 00:43:39,600
Speaker 3: South Africa says, quote, kill the Boers, kill the Boers.

807
00:43:39,760 --> 00:43:42,200
Speaker 3: I would expect more of somebody who read dissertation and

808
00:43:42,239 --> 00:43:44,560
Speaker 3: teaches here at Oxford to say that you would not

809
00:43:44,680 --> 00:43:47,680
Speaker 3: know about the attempted slaughter and genocide of white South Africans.

810
00:43:48,080 --> 00:43:51,759
Speaker 1: Okay, now, I'm sure there's lots of pois and I

811
00:43:51,800 --> 00:43:55,000
Speaker 1: will talk uninterrupted now to my remarks. But actually is

812
00:43:55,040 --> 00:43:56,160
Speaker 1: that all of it? Let me see here.

813
00:43:57,000 --> 00:43:59,400
Speaker 3: Yeah, that's just the taste. Hello, everybody, it's great to

814
00:43:59,440 --> 00:44:01,560
Speaker 3: be here tonight. Thank you to the Oxford Union for

815
00:44:01,560 --> 00:44:14,640
Speaker 3: inviting me. I never went to university. I take that

816
00:44:14,680 --> 00:44:16,800
Speaker 3: as a great compliment, So therefore everyone who went to

817
00:44:16,840 --> 00:44:18,719
Speaker 3: university should be able to run circles around me. You'll

818
00:44:18,760 --> 00:44:21,120
Speaker 3: be the judge, but I'll do my best. Has Donald

819
00:44:21,160 --> 00:44:23,160
Speaker 3: Trump gone too far? Well?

820
00:44:23,160 --> 00:44:25,640
Speaker 1: I can nitpick at how vague that question is. What

821
00:44:25,800 --> 00:44:27,080
Speaker 1: is too far? Exactly?

822
00:44:27,600 --> 00:44:31,160
Speaker 3: Are his tweets too long? Can all of us even

823
00:44:31,200 --> 00:44:33,560
Speaker 3: agree on what we're aiming at? I don't think so.

824
00:44:33,960 --> 00:44:37,400
Speaker 3: The truth is this, if you dislike the West, and

825
00:44:37,440 --> 00:44:39,680
Speaker 3: if you hate the West's values, if you think the

826
00:44:39,680 --> 00:44:42,879
Speaker 3: West is evil fundamentally and deserves to be destroyed, then

827
00:44:42,920 --> 00:44:47,320
Speaker 3: anything Donald Trump does basically short of surrender will be

828
00:44:47,400 --> 00:44:49,920
Speaker 3: too far for you. If I was visiting the school

829
00:44:49,920 --> 00:44:52,960
Speaker 3: one hundred years ago speaking in support of an American president,

830
00:44:53,520 --> 00:44:55,960
Speaker 3: I think we would at least have some broad agreement

831
00:44:56,320 --> 00:44:58,960
Speaker 3: on what a country's leader should be trying to do.

832
00:44:59,520 --> 00:45:00,440
Speaker 1: But we don't anymore.

833
00:45:00,640 --> 00:45:03,400
Speaker 3: I don't think it's because America's changed. In fact, I

834
00:45:03,400 --> 00:45:06,880
Speaker 3: think it's because Britain has changed. From my perspective, Britain

835
00:45:07,000 --> 00:45:09,000
Speaker 3: is one of the greatest countries in the history of

836
00:45:09,000 --> 00:45:12,480
Speaker 3: the world. You are the country of Shakespeare, the steam engine,

837
00:45:12,520 --> 00:45:16,719
Speaker 3: and Adam Smith. You defeated Napoleon, you destroyed the slave trade.

838
00:45:16,400 --> 00:45:17,520
Speaker 1: You stood up to Hitler.

839
00:45:18,000 --> 00:45:21,759
Speaker 3: My country, America, became great as it is because of

840
00:45:21,760 --> 00:45:25,640
Speaker 3: what we inherited from you from Britain. When I hear

841
00:45:25,680 --> 00:45:30,040
Speaker 3: the slogan make America great Again, I'm also hearing quote

842
00:45:30,360 --> 00:45:34,760
Speaker 3: return America to its British roots. Great Britain has everything

843
00:45:34,800 --> 00:45:36,719
Speaker 3: in the world to be proud of. But when I

844
00:45:36,719 --> 00:45:39,239
Speaker 3: look at Britain today, I see a country where the

845
00:45:39,320 --> 00:45:42,200
Speaker 3: ruling elites are in a race to abandon the very values,

846
00:45:42,239 --> 00:45:44,200
Speaker 3: the values that made them so great in the first place.

847
00:45:44,640 --> 00:45:46,799
Speaker 3: I wish I could blame this all on labor and

848
00:45:46,840 --> 00:45:50,160
Speaker 3: all on the left, but I can't. This country just

849
00:45:50,200 --> 00:45:53,120
Speaker 3: had its fourteenth U an erupted year of so called

850
00:45:53,239 --> 00:45:57,080
Speaker 3: conservative rule, and what did they conserve Exactly Well, they

851
00:45:57,080 --> 00:46:00,000
Speaker 3: didn't conserve the ancient British rights to freedom of speed.

852
00:46:00,760 --> 00:46:04,239
Speaker 3: In Britain today, thirty people a day are arrested for

853
00:46:04,360 --> 00:46:08,120
Speaker 3: offensive posts on social media. According to the Telegraph, praying

854
00:46:08,239 --> 00:46:10,800
Speaker 3: silently within six hundred feet in of an abortion clinic

855
00:46:10,920 --> 00:46:11,720
Speaker 3: can get you arrested.

856
00:46:11,800 --> 00:46:13,680
Speaker 1: In Scotland, as a seventy.

857
00:46:13,320 --> 00:46:16,040
Speaker 3: Four year old woman named Rose just learned weeks ago,

858
00:46:16,440 --> 00:46:19,799
Speaker 3: members of Parliament scold British citizens for thinking they have

859
00:46:20,000 --> 00:46:22,160
Speaker 3: the right to say things say that they do not

860
00:46:22,200 --> 00:46:24,960
Speaker 3: have the right to say things that offend Muslims. Fourteen

861
00:46:25,040 --> 00:46:29,840
Speaker 3: years of conservative rule didn't conserve British prosperity. Adjusted for

862
00:46:29,920 --> 00:46:33,680
Speaker 3: inflation cost of living, the average British worker makes less

863
00:46:33,719 --> 00:46:36,800
Speaker 3: today than they did in two thousand and eight. Outside

864
00:46:36,800 --> 00:46:40,200
Speaker 3: of London, the British have lower incomes than every one

865
00:46:40,239 --> 00:46:42,320
Speaker 3: of America's fifty states, and it never used to be

866
00:46:42,400 --> 00:46:45,680
Speaker 3: this way. British industry pays four times as much for

867
00:46:45,719 --> 00:46:49,000
Speaker 3: electricity as America does. You have the highest electricity rates

868
00:46:49,000 --> 00:46:52,320
Speaker 3: in the world, a consequence of a choice of going

869
00:46:52,360 --> 00:46:56,000
Speaker 3: net neutral. Nothing will kill a modern economy faster than

870
00:46:56,040 --> 00:46:58,800
Speaker 3: high energy prices. And the country that again, that invented

871
00:46:58,840 --> 00:47:01,360
Speaker 3: the steam engine, now has some of the highest energy

872
00:47:01,400 --> 00:47:04,319
Speaker 3: prices on the planet. But above all, fourteen years of

873
00:47:04,360 --> 00:47:09,200
Speaker 3: conservative control didn't preserve the British nation. This country's conservatives

874
00:47:09,320 --> 00:47:11,839
Speaker 3: thought it was their moral duty to allow anyone from

875
00:47:11,880 --> 00:47:14,279
Speaker 3: the Third world to move here that need to hold

876
00:47:14,320 --> 00:47:17,759
Speaker 3: Western values. Thanks so much for listening, everybody. Email us

877
00:47:17,800 --> 00:47:20,279
Speaker 3: as always Freedom at Charlie Kirk dot com. Hour two

878
00:47:20,360 --> 00:47:36,320
Speaker 3: coming up with Kobe Blumenfeld Gans.

879
00:47:40,000 --> 00:47:42,520
Speaker 16: Welcome back to this Real America's Voice news break on

880
00:47:42,719 --> 00:47:45,680
Speaker 16: Terrence Bates. For about a year now, we've been telling

881
00:47:45,719 --> 00:47:49,080
Speaker 16: you about home title theft. It's a growing epidemic that's

882
00:47:49,160 --> 00:47:53,040
Speaker 16: leaving victims across the country. My next guest is a

883
00:47:53,080 --> 00:47:56,040
Speaker 16: former home title thief who is now using his talents

884
00:47:56,080 --> 00:47:59,919
Speaker 16: for good rather than evil. Matthew Cox, Welcome to the show.

885
00:48:00,040 --> 00:48:02,960
Speaker 3: Good to see you, Nice to see you again.

886
00:48:03,440 --> 00:48:05,960
Speaker 16: All right, so let's start here. And I think it's

887
00:48:06,000 --> 00:48:10,440
Speaker 16: the obvious question. As a former home title thief, how

888
00:48:10,480 --> 00:48:14,120
Speaker 16: did you tase your potential victims? How did you realize, okay,

889
00:48:14,120 --> 00:48:16,200
Speaker 16: this is someone that can be victimized.

890
00:48:18,040 --> 00:48:21,560
Speaker 17: You know the interesting thing about that is pretty much

891
00:48:21,760 --> 00:48:26,239
Speaker 17: every property that is titled is a potential target. It

892
00:48:26,280 --> 00:48:29,359
Speaker 17: could be a vacant piece of land, it could be

893
00:48:29,600 --> 00:48:34,560
Speaker 17: your rental property, it could be your primary residence. I've

894
00:48:34,640 --> 00:48:39,680
Speaker 17: pretty much done every single one of those types of frauds,

895
00:48:39,719 --> 00:48:45,600
Speaker 17: those types of title thefts. Everybody's vulnerable. And I wish

896
00:48:45,640 --> 00:48:47,400
Speaker 17: I had a better answer. I wish I had a

897
00:48:47,440 --> 00:48:50,160
Speaker 17: more specific answer. But the problem is everyone with a

898
00:48:50,200 --> 00:48:51,640
Speaker 17: title property is vulnerable.

899
00:48:52,080 --> 00:48:55,680
Speaker 16: No, absolutely, And I think that adds perspective that no

900
00:48:55,760 --> 00:48:59,400
Speaker 16: matter what you do, you are pretty much vulnerable unless

901
00:48:59,640 --> 00:49:02,600
Speaker 16: you take precautions, which is where home title lock comes in.

902
00:49:03,160 --> 00:49:07,640
Speaker 17: Yes, so I would say that if it's an actual

903
00:49:07,760 --> 00:49:11,800
Speaker 17: property like a residence or a rental property, and depending

904
00:49:11,840 --> 00:49:15,560
Speaker 17: on the actual scam that's being run, maybe you could

905
00:49:15,560 --> 00:49:19,600
Speaker 17: borrow more money or sell those properties for more. They

906
00:49:19,680 --> 00:49:21,640
Speaker 17: move faster if you were to if I were to

907
00:49:21,680 --> 00:49:24,279
Speaker 17: steal the title and sell them. But other than that,

908
00:49:24,600 --> 00:49:27,880
Speaker 17: definitely everyone's vulnerable and the only way to really protect

909
00:49:27,880 --> 00:49:33,560
Speaker 17: yourself is to constantly either yourself be monitoring your title

910
00:49:33,719 --> 00:49:37,640
Speaker 17: or have home Title Lock monitor your title for you.

911
00:49:37,719 --> 00:49:39,359
Speaker 1: They can do it twenty four hours a day.

912
00:49:39,880 --> 00:49:40,400
Speaker 3: You can't.

913
00:49:41,520 --> 00:49:45,359
Speaker 16: And apart from just the monitoring, obviously monitoring is one thing,

914
00:49:45,480 --> 00:49:49,080
Speaker 16: protecting is a second thing. How does home title Lock

915
00:49:49,400 --> 00:49:54,600
Speaker 16: help potential victims protect him or herself from becoming a victim?

916
00:49:55,520 --> 00:49:57,800
Speaker 17: Well, what I like about home Title Lock as opposed

917
00:49:57,800 --> 00:49:59,920
Speaker 17: to any other companies out there that are doing it,

918
00:50:00,080 --> 00:50:03,439
Speaker 17: that Home Title Luck will actually they will actually hire

919
00:50:03,440 --> 00:50:05,480
Speaker 17: an attorney for you and they will spend up to

920
00:50:05,520 --> 00:50:09,279
Speaker 17: a million dollars to fight any type of fraud or

921
00:50:09,280 --> 00:50:12,640
Speaker 17: deficiency deficiency in the title. If you are a victim

922
00:50:12,680 --> 00:50:16,000
Speaker 17: of fraud, Let's say you were notified that your home

923
00:50:16,640 --> 00:50:21,240
Speaker 17: had been the title had been transferred, you really wouldn't

924
00:50:21,280 --> 00:50:23,800
Speaker 17: know what to do. Most people would have no idea

925
00:50:23,800 --> 00:50:24,960
Speaker 17: what to do. They would have to go out and

926
00:50:25,040 --> 00:50:28,359
Speaker 17: hire an attorney and they or they'd have to try

927
00:50:28,400 --> 00:50:32,160
Speaker 17: and maneuver the legal process themselves. And let's face it,

928
00:50:32,160 --> 00:50:34,439
Speaker 17: most people are just ill equipped to do that home

929
00:50:34,480 --> 00:50:36,800
Speaker 17: title luck will actually hire an attorney and have the

930
00:50:36,840 --> 00:50:40,080
Speaker 17: attorney do those things for you. That's what I think

931
00:50:40,160 --> 00:50:43,000
Speaker 17: is really amazing about this company.

932
00:50:43,600 --> 00:50:45,360
Speaker 16: I'd like to take a bit of a step back,

933
00:50:45,840 --> 00:50:51,000
Speaker 16: because stealing someone's title is basically a little easier than

934
00:50:51,040 --> 00:50:55,680
Speaker 16: one might think. Because titles are public record, they're easily

935
00:50:55,680 --> 00:51:00,000
Speaker 16: accessible to quite literally anyone what needs to be done

936
00:51:00,160 --> 00:51:03,520
Speaker 16: in your professional opinion, and I use the word professional

937
00:51:03,800 --> 00:51:06,120
Speaker 16: as someone who was involved in this sort of fraud

938
00:51:06,440 --> 00:51:09,200
Speaker 16: to help secure people's titles and to make it a

939
00:51:09,239 --> 00:51:12,600
Speaker 16: bit more difficult for anyone who might be looking at

940
00:51:12,600 --> 00:51:13,400
Speaker 16: stealing a title.

941
00:51:14,840 --> 00:51:19,480
Speaker 17: Gosh, I was actually at a banker's convention over the

942
00:51:19,480 --> 00:51:23,920
Speaker 17: weekend and that came up. And the problem with that

943
00:51:24,160 --> 00:51:27,799
Speaker 17: is there's no way to put a notification on your

944
00:51:27,960 --> 00:51:31,759
Speaker 17: title or any type of protection unless it's being monitored.

945
00:51:32,320 --> 00:51:33,520
Speaker 1: I'm not sure that makes sense.

946
00:51:33,560 --> 00:51:37,719
Speaker 17: And there's the government can't really stop this type of

947
00:51:37,760 --> 00:51:42,040
Speaker 17: a crime because there's over thirty five hundred counties and

948
00:51:42,080 --> 00:51:46,239
Speaker 17: each county has its own public records, so they don't

949
00:51:46,280 --> 00:51:48,960
Speaker 17: want to work together. They don't want to help secure

950
00:51:49,000 --> 00:51:52,080
Speaker 17: your title. So we're back to it's up to the

951
00:51:52,160 --> 00:51:55,279
Speaker 17: individual to monitor their title or have a company like

952
00:51:55,320 --> 00:51:58,880
Speaker 17: Home Title Lock monitor their title. There's no real protection

953
00:51:59,200 --> 00:52:02,840
Speaker 17: in that traditional sense. You know, you can't lock it

954
00:52:02,920 --> 00:52:06,400
Speaker 17: up in the safe. It's public records. It's available to everybody.

955
00:52:06,680 --> 00:52:08,200
Speaker 17: I could look up your title right now.

956
00:52:08,680 --> 00:52:12,640
Speaker 16: Please don't, please don't I need to call Home Title Lock.

957
00:52:12,760 --> 00:52:15,759
Speaker 16: But I think to your point, there's no protection, but

958
00:52:15,800 --> 00:52:18,920
Speaker 16: there is prevention that that prevent prevention. Excuse me, comes

959
00:52:18,960 --> 00:52:21,880
Speaker 16: in Home Title Lock again, Home title Lock dot Com,

960
00:52:21,920 --> 00:52:24,080
Speaker 16: slash news break. The information is there on your screen.

961
00:52:24,360 --> 00:52:25,960
Speaker 16: Log on and get yourself protected.

962
00:52:47,200 --> 00:52:48,880
Speaker 3: Okay, everyone, for hour two, I want to play you

963
00:52:48,960 --> 00:52:52,480
Speaker 3: an interview I did recently with Kobe Blumenfeld Dance. Kobe

964
00:52:52,520 --> 00:52:54,719
Speaker 3: is the CEO of Chapter a new way to sign

965
00:52:54,760 --> 00:52:57,880
Speaker 3: up for Medicare, and honestly I was really impressed, inspired

966
00:52:57,880 --> 00:53:00,319
Speaker 3: by his parents' nightmare experience signing up, and a lot

967
00:53:00,320 --> 00:53:02,480
Speaker 3: about what it means to enroll in Medicare. I think

968
00:53:02,480 --> 00:53:04,800
Speaker 3: a lot of you in this audience should listen carefully.

969
00:53:05,560 --> 00:53:09,840
Speaker 3: It's really interesting and we cover MAHA insurance and more,

970
00:53:10,239 --> 00:53:13,080
Speaker 3: including if you are enrolling in Medicare or already enrolled,

971
00:53:13,400 --> 00:53:15,120
Speaker 3: he might be able to help you. I asked all

972
00:53:15,120 --> 00:53:19,680
Speaker 3: the tough questions. I think you'll really enjoy it. Okay, everybody,

973
00:53:19,760 --> 00:53:22,439
Speaker 3: welcome to this amazing conversation we have with you all

974
00:53:22,480 --> 00:53:26,279
Speaker 3: about ask Chapter dot com. Did I get that right, Kobe,

975
00:53:26,760 --> 00:53:30,000
Speaker 3: and we are joining us now as Kobe bloom Bloominenfeld

976
00:53:30,120 --> 00:53:32,719
Speaker 3: Gantz that I say that correctly. Yes, Okay, welcome to

977
00:53:32,760 --> 00:53:36,160
Speaker 3: the program. It is I hear such amazing things about

978
00:53:36,160 --> 00:53:39,200
Speaker 3: you from Vivek and other people, and so glad you're here.

979
00:53:39,480 --> 00:53:40,760
Speaker 3: Introduce yourself to our audience.

980
00:53:40,800 --> 00:53:42,160
Speaker 1: Thank you so much for having me. It's a pleasure

981
00:53:42,160 --> 00:53:42,520
Speaker 1: to be here.

982
00:53:43,560 --> 00:53:47,120
Speaker 18: I started Chapter a few years ago. Before that, had

983
00:53:47,120 --> 00:53:50,239
Speaker 18: worked in software working with the government, and I have

984
00:53:50,320 --> 00:53:53,919
Speaker 18: spent a lot of time looking at how large data

985
00:53:53,920 --> 00:53:56,840
Speaker 18: sets can be used to help people, how the government

986
00:53:56,880 --> 00:53:59,879
Speaker 18: can be more efficient and a lot to explore there

987
00:54:00,680 --> 00:54:04,160
Speaker 18: in using information and providing better services to people, and

988
00:54:04,239 --> 00:54:09,120
Speaker 18: how we can create systems that help people with much

989
00:54:09,120 --> 00:54:11,760
Speaker 18: better incentives to to create better services for Americans.

990
00:54:11,800 --> 00:54:15,720
Speaker 3: So you decided to start ask chapter dot com first,

991
00:54:15,719 --> 00:54:18,440
Speaker 3: tell everybody what it is, and then the why so

992
00:54:18,560 --> 00:54:20,239
Speaker 3: or you get whichever way you want to do it. Yeah,

993
00:54:20,320 --> 00:54:22,319
Speaker 3: told us tell the story because it's it's about it's

994
00:54:22,320 --> 00:54:24,040
Speaker 3: a personal experience that drove you to this.

995
00:54:24,320 --> 00:54:24,560
Speaker 1: Yeah.

996
00:54:24,600 --> 00:54:28,200
Speaker 18: So, I was very fortunate to grow up with my

997
00:54:28,239 --> 00:54:29,960
Speaker 18: grandfather living with my parents and me when I was

998
00:54:30,000 --> 00:54:34,520
Speaker 18: in high school. He was very healthy, mentally sharp and

999
00:54:34,560 --> 00:54:38,480
Speaker 18: with it, but just as a function of his generation,

1000
00:54:38,760 --> 00:54:41,840
Speaker 18: he didn't really have access to the technology of the

1001
00:54:41,920 --> 00:54:44,400
Speaker 18: day and didn't really know how to interact with others

1002
00:54:44,600 --> 00:54:47,000
Speaker 18: in a meaningful way. And it wasn't because he was

1003
00:54:47,040 --> 00:54:48,920
Speaker 18: a lot ofite, and in fact, it was the opposite.

1004
00:54:48,960 --> 00:54:50,240
Speaker 1: He would take radios apart.

1005
00:54:50,360 --> 00:54:53,359
Speaker 18: He was very very technical for technology of his day,

1006
00:54:54,320 --> 00:54:57,239
Speaker 18: and he was fairly isolated in our home. And I

1007
00:54:57,280 --> 00:54:59,480
Speaker 18: always thought that was just kind of crazy that we

1008
00:54:59,520 --> 00:55:01,400
Speaker 18: didn't have a good way to engage our elders and

1009
00:55:01,440 --> 00:55:05,120
Speaker 18: our seniors in productive life. After you know this this

1010
00:55:05,160 --> 00:55:07,479
Speaker 18: thing we call retirement. Of course, I didn't do anything

1011
00:55:07,520 --> 00:55:08,719
Speaker 18: with that at the time. I went to college. I

1012
00:55:08,719 --> 00:55:11,080
Speaker 18: went to grad school, worked in software for a long time,

1013
00:55:11,800 --> 00:55:14,000
Speaker 18: and then as my parents were getting older and going

1014
00:55:14,000 --> 00:55:19,680
Speaker 18: through a similar process, I observed them navigating Medicare and

1015
00:55:19,719 --> 00:55:24,000
Speaker 18: retirement ret large and just saw how the system is

1016
00:55:24,000 --> 00:55:28,120
Speaker 18: really rigged against our elders when they're dealing with medicare

1017
00:55:28,920 --> 00:55:32,560
Speaker 18: to and it was just such a challenging experience for them.

1018
00:55:32,600 --> 00:55:36,560
Speaker 18: They were working with a local Medicare advisor who was

1019
00:55:36,960 --> 00:55:39,080
Speaker 18: maybe well intentioned, but didn't have the data of the

1020
00:55:39,120 --> 00:55:42,560
Speaker 18: tools to be effective, and they frankly got screwed. They

1021
00:55:42,560 --> 00:55:45,399
Speaker 18: were far overpaying for a plan that they didn't need.

1022
00:55:46,160 --> 00:55:48,160
Speaker 18: And I just looked at the industry and thought it

1023
00:55:48,160 --> 00:55:48,840
Speaker 18: was kind of crazy.

1024
00:55:49,000 --> 00:55:53,600
Speaker 3: So excuse my ignorance. So, yeah, there's there's Medicare advisors.

1025
00:55:53,760 --> 00:55:56,480
Speaker 3: So is it like open enrollment? I mean, I've never

1026
00:55:56,520 --> 00:55:58,680
Speaker 3: dealt with medicare. How does this process work? And who

1027
00:55:58,760 --> 00:55:59,279
Speaker 3: set it up?

1028
00:55:59,520 --> 00:55:59,759
Speaker 1: Yeah?

1029
00:55:59,760 --> 00:56:03,359
Speaker 18: So the history of medicare is pretty interesting, goes back

1030
00:56:03,400 --> 00:56:09,880
Speaker 18: to LBJA with social screity acting Medicare, and we largely

1031
00:56:09,920 --> 00:56:13,680
Speaker 18: have a system that's been frankenstein together over the past many,

1032
00:56:13,719 --> 00:56:16,840
Speaker 18: many decades, and there are many types of Medicare.

1033
00:56:16,880 --> 00:56:17,840
Speaker 1: It's not just this.

1034
00:56:17,760 --> 00:56:21,200
Speaker 18: One, you know, it's not one Medicare plan, Part A, B, C, D,

1035
00:56:21,360 --> 00:56:24,160
Speaker 18: all these letters, alphabet soup of medicare. And most people

1036
00:56:24,200 --> 00:56:26,839
Speaker 18: assume that it's just automatic that you turn sixty five

1037
00:56:26,920 --> 00:56:29,600
Speaker 18: or you retire and you get Medicare. And that's fortunate

1038
00:56:29,640 --> 00:56:32,359
Speaker 18: and unfortunately just not how it works. And so there's

1039
00:56:32,360 --> 00:56:36,919
Speaker 18: a whole industry of people out there who are there

1040
00:56:36,960 --> 00:56:40,719
Speaker 18: to support seniors in navigating this process. But as we're

1041
00:56:40,719 --> 00:56:44,680
Speaker 18: seeing with some of the DJ investigations now into a

1042
00:56:44,719 --> 00:56:49,759
Speaker 18: lot of the industry players, it's really a massive scam.

1043
00:56:49,920 --> 00:56:52,800
Speaker 18: Pretty much every American who's working with a medicare advisor

1044
00:56:52,800 --> 00:56:56,000
Speaker 18: today is not getting the best guidance for their needs.

1045
00:56:56,160 --> 00:56:57,160
Speaker 1: That's seventy million people.

1046
00:56:57,239 --> 00:57:00,480
Speaker 3: But who are these medicare advisors? They private actors, Okay,

1047
00:57:00,520 --> 00:57:01,600
Speaker 3: so they're companies.

1048
00:57:01,800 --> 00:57:03,840
Speaker 18: Yeah, think of it as like a real estate agent,

1049
00:57:04,200 --> 00:57:05,880
Speaker 18: so you have that's a good compare. Okay, it's a

1050
00:57:05,920 --> 00:57:09,200
Speaker 18: real estate agent analog, many of whom are kind of

1051
00:57:09,239 --> 00:57:11,680
Speaker 18: doing this as a side hustle. And so you know,

1052
00:57:11,960 --> 00:57:14,919
Speaker 18: not all are malicious at all, but most to all

1053
00:57:15,160 --> 00:57:19,520
Speaker 18: don't have the data or the really expertise to be effective.

1054
00:57:19,560 --> 00:57:22,200
Speaker 1: So let's say a couple, what age are you old,

1055
00:57:22,520 --> 00:57:23,880
Speaker 1: megaut sixty five? Sixty five?

1056
00:57:23,920 --> 00:57:26,960
Speaker 3: Okay, so they both turn sixty five, they call a

1057
00:57:27,000 --> 00:57:31,400
Speaker 3: Medicare advisor. Or there's all these hotlines, right they advertise

1058
00:57:31,480 --> 00:57:34,600
Speaker 3: on TV. I just kind of drone out when they right,

1059
00:57:35,080 --> 00:57:37,920
Speaker 3: but they say, okay, call your Medicare advisor hotline, whatever

1060
00:57:38,400 --> 00:57:41,000
Speaker 3: you call it. You're like enlisting a real estate agent.

1061
00:57:41,640 --> 00:57:47,120
Speaker 3: What is the conventional or the most the most common

1062
00:57:47,200 --> 00:57:48,240
Speaker 3: experience that he has.

1063
00:57:48,480 --> 00:57:51,320
Speaker 18: So the way it works is most Medicare advisors are

1064
00:57:51,320 --> 00:57:53,920
Speaker 18: paid a lot more in terms of commission for one

1065
00:57:53,960 --> 00:57:56,520
Speaker 18: type of plan. It's called the Medicare advantage plan. That's

1066
00:57:56,560 --> 00:57:59,000
Speaker 18: one of the two sort of types of Medicare plans

1067
00:57:59,040 --> 00:57:59,960
Speaker 18: you can go down.

1068
00:58:00,080 --> 00:58:01,240
Speaker 1: Because they're paid more.

1069
00:58:01,360 --> 00:58:04,200
Speaker 18: By these Medicare advantage plans, they are going to push

1070
00:58:04,760 --> 00:58:06,840
Speaker 18: a subset of Medicare plans on the user in the

1071
00:58:06,880 --> 00:58:08,880
Speaker 18: same way you might have an insurance agent push plans

1072
00:58:08,880 --> 00:58:11,680
Speaker 18: of any any type, whether it's auto insurance, life insurance,

1073
00:58:11,720 --> 00:58:14,200
Speaker 18: whatever it is. But when you're dealing with someone's health

1074
00:58:14,400 --> 00:58:16,960
Speaker 18: and something that's so foundational, and also let's remember it's

1075
00:58:16,960 --> 00:58:18,880
Speaker 18: not a welfare program. Medicare is a program that we've

1076
00:58:18,880 --> 00:58:20,520
Speaker 18: all been paying into it. We pay into as part

1077
00:58:20,520 --> 00:58:23,440
Speaker 18: of Medicare payroll tax or entire lives, and so it's

1078
00:58:23,520 --> 00:58:26,280
Speaker 18: something people have paid into it and deserve and have

1079
00:58:26,960 --> 00:58:31,760
Speaker 18: really earned through their whole careers. They're being sold plans

1080
00:58:31,920 --> 00:58:36,080
Speaker 18: that are really just at the what's better for the

1081
00:58:36,280 --> 00:58:38,640
Speaker 18: Medicare advisor, for the Medicare broker, it's not what's better

1082
00:58:38,680 --> 00:58:41,760
Speaker 18: for the customer, and really, who is the customer here?

1083
00:58:42,080 --> 00:58:45,400
Speaker 3: So then so do people have to co pay on Medicare, then,

1084
00:58:45,560 --> 00:58:48,720
Speaker 3: I mean who's paying for Medicare advantage versus a lower

1085
00:58:48,760 --> 00:58:52,080
Speaker 3: plan the senior themselves. I thought Medicare is largely covered

1086
00:58:52,080 --> 00:58:53,840
Speaker 3: by the government tax payer.

1087
00:58:54,720 --> 00:58:57,560
Speaker 18: Yeah, it's the short version is there are a lot

1088
00:58:57,560 --> 00:59:01,560
Speaker 18: of cost to the consumer on Medicare. Without going into

1089
00:59:01,280 --> 00:59:06,880
Speaker 18: to nitty gritty detail, but the majority of Americans do

1090
00:59:06,960 --> 00:59:09,480
Speaker 18: sign up for some kind of supplemental coverage which they

1091
00:59:09,480 --> 00:59:11,440
Speaker 18: do have to pay something for. Sometimes that's in the

1092
00:59:11,480 --> 00:59:13,520
Speaker 18: form of premium, Sometimes that's in the form of copey,

1093
00:59:13,600 --> 00:59:16,440
Speaker 18: sometimes it's in the form of paying for prescriptions, whatever

1094
00:59:16,480 --> 00:59:16,720
Speaker 18: it is.

1095
00:59:16,840 --> 00:59:18,680
Speaker 1: And so there are a lot of costs.

1096
00:59:18,680 --> 00:59:21,080
Speaker 18: Sometimes hidden in the system that can be really hard

1097
00:59:21,120 --> 00:59:21,920
Speaker 18: for people to navigate.

1098
00:59:22,600 --> 00:59:24,320
Speaker 3: So then where do you guys come in and you

1099
00:59:24,360 --> 00:59:27,720
Speaker 3: help with the three key Medicare decisions, when to enroll,

1100
00:59:28,080 --> 00:59:29,920
Speaker 3: how to get the most value from medicare, and then

1101
00:59:29,920 --> 00:59:32,280
Speaker 3: also how to keep Medicare working for you. So your

1102
00:59:32,400 --> 00:59:34,800
Speaker 3: disruptor and that's like the favorite word, like, ooh, you're

1103
00:59:34,840 --> 00:59:35,520
Speaker 3: a disruptor.

1104
00:59:37,360 --> 00:59:38,640
Speaker 1: How are you disrupting it?

1105
00:59:39,040 --> 00:59:42,600
Speaker 3: And how have you been received by the conventional medicare lobby.

1106
00:59:42,920 --> 00:59:47,080
Speaker 18: Yeah, so I am not liked by the medicare.

1107
00:59:46,760 --> 00:59:49,280
Speaker 3: Industry, and that's why you're doing great work. I appreciate

1108
00:59:49,360 --> 00:59:52,480
Speaker 3: that the Medicare cartel is doing a lot of harm.

1109
00:59:52,600 --> 00:59:56,560
Speaker 1: It's wild. I'm a Medicare itself, the cartel surrounding it.

1110
00:59:56,640 --> 00:59:59,720
Speaker 18: Yeah, so Medicare as a program is actually beloved. Most

1111
00:59:59,760 --> 01:00:02,160
Speaker 18: people who are on Medicare have a It is really

1112
01:00:02,200 --> 01:00:03,600
Speaker 18: good health insurance coverage.

1113
01:00:04,000 --> 01:00:05,360
Speaker 1: It's all the things around it.

1114
01:00:05,360 --> 01:00:08,240
Speaker 18: It's really the on ramp the accessibility to Medicare that

1115
01:00:08,320 --> 01:00:11,640
Speaker 18: are so challenging and are rife with miss incentives. So

1116
01:00:11,880 --> 01:00:15,800
Speaker 18: things that we do to help first and foremost. It's

1117
01:00:15,800 --> 01:00:18,600
Speaker 18: probably not a surprise to say that health insurance companies

1118
01:00:18,640 --> 01:00:22,480
Speaker 18: are not the most technologically savvyer technologically forward organizations. And

1119
01:00:22,520 --> 01:00:23,880
Speaker 18: so what we do is build a lot of really

1120
01:00:23,880 --> 01:00:27,560
Speaker 18: good technology and improve the data quality. So, as an example,

1121
01:00:27,720 --> 01:00:29,640
Speaker 18: if you want to know what your prescriptions are going

1122
01:00:29,680 --> 01:00:31,680
Speaker 18: to cost on a Medicare plan, you know it's a

1123
01:00:31,720 --> 01:00:35,560
Speaker 18: reasonable thing to ask. There is not a single organization

1124
01:00:35,680 --> 01:00:38,760
Speaker 18: or company in the country other than Chapter for Better

1125
01:00:38,840 --> 01:00:41,120
Speaker 18: or Worse that can tell you that with precision. And

1126
01:00:41,160 --> 01:00:43,560
Speaker 18: the reason is because we have to. We have to

1127
01:00:43,680 --> 01:00:47,680
Speaker 18: integrate tens of billions of records of prescription data to

1128
01:00:47,760 --> 01:00:50,480
Speaker 18: know that answer. It's actually a very hard technical problem.

1129
01:00:50,800 --> 01:00:53,920
Speaker 18: So one is we do a lot of technology in

1130
01:00:53,960 --> 01:00:56,040
Speaker 18: the background so that the senior doesn't have to do

1131
01:00:56,120 --> 01:00:58,680
Speaker 18: all that research. Two is we align incentives. And this

1132
01:00:58,760 --> 01:01:00,760
Speaker 18: is one of, if not the most imporant. As I

1133
01:01:00,800 --> 01:01:04,160
Speaker 18: was saying, most medicare brokers just push plans that pay

1134
01:01:04,200 --> 01:01:06,760
Speaker 18: them the most. In fact, the DOJ just unveiled this

1135
01:01:07,040 --> 01:01:07,920
Speaker 18: huge investigation.

1136
01:01:08,400 --> 01:01:09,960
Speaker 1: Yeah, so is that illegal to do?

1137
01:01:11,360 --> 01:01:13,960
Speaker 18: We're about to find out based on how the DJA investigation.

1138
01:01:14,080 --> 01:01:16,280
Speaker 18: I mean, it's there's no question that it's unethical. Whether

1139
01:01:16,320 --> 01:01:18,960
Speaker 18: it's illegal it is a question. And that's what they're

1140
01:01:19,160 --> 01:01:22,360
Speaker 18: what they're litigating now, but at a high level, you

1141
01:01:22,440 --> 01:01:26,680
Speaker 18: have a few big Medicare insurance brokerages. We're being paid

1142
01:01:26,720 --> 01:01:31,480
Speaker 18: basically volume based performance programs saying hey, if you sell

1143
01:01:32,080 --> 01:01:35,760
Speaker 18: one hundred more Medicare plans of my policy type this month,

1144
01:01:35,840 --> 01:01:38,560
Speaker 18: will pay you another few million bucks.

1145
01:01:38,560 --> 01:01:42,000
Speaker 3: So does everyone use a Medicare advisor or it's just

1146
01:01:42,120 --> 01:01:43,840
Speaker 3: most people. I mean, it's like closing out a house.

1147
01:01:43,880 --> 01:01:45,640
Speaker 3: You don't need a real estate agent, would you say?

1148
01:01:45,720 --> 01:01:47,160
Speaker 3: Sixty seventy percent?

1149
01:01:47,520 --> 01:01:50,600
Speaker 18: Roughly half to sixty percent of people use some kind

1150
01:01:50,600 --> 01:01:53,560
Speaker 18: of Medicare advisor. And the reason is you can't get

1151
01:01:53,560 --> 01:01:55,840
Speaker 18: a better you can't get a different price going direct.

1152
01:01:55,920 --> 01:01:58,000
Speaker 18: So it's actually there's there's no incentive not to use

1153
01:01:58,000 --> 01:01:59,880
Speaker 18: a Medicare advisor and is very complicated.

1154
01:01:59,840 --> 01:02:01,720
Speaker 3: But the advisor makes the money from the government.

1155
01:02:01,800 --> 01:02:04,520
Speaker 18: Then the advisor makes the money from the insurance carrier.

1156
01:02:04,640 --> 01:02:07,520
Speaker 18: So the flow of funds is the government pays Health

1157
01:02:07,560 --> 01:02:11,160
Speaker 18: Insurance Company United at an anthem, whatever God they pay.

1158
01:02:11,960 --> 01:02:14,520
Speaker 18: They are the ones who are paying. The Medicare broker

1159
01:02:14,560 --> 01:02:14,880
Speaker 18: got it.

1160
01:02:15,120 --> 01:02:18,400
Speaker 3: And so then you guys come in and you are

1161
01:02:18,600 --> 01:02:24,400
Speaker 3: trying to revolutionize the entire broker relationship where the people

1162
01:02:24,440 --> 01:02:27,920
Speaker 3: would then use you as a replacement for medicare advisory.

1163
01:02:27,960 --> 01:02:28,480
Speaker 3: Is that correct?

1164
01:02:28,600 --> 01:02:30,520
Speaker 18: Yeah, So at our core we are a medicare advisory

1165
01:02:30,800 --> 01:02:32,800
Speaker 18: and in a retirement advisory, which you can talk about

1166
01:02:32,880 --> 01:02:36,560
Speaker 18: in a few minutes. But we look at every single

1167
01:02:36,600 --> 01:02:39,920
Speaker 18: medicare option we take in the needs of each person.

1168
01:02:41,000 --> 01:02:43,400
Speaker 3: We'll be right back with Kobe Blumenfeld Gantz, but first

1169
01:02:43,440 --> 01:02:45,320
Speaker 3: I'm going to tell you guys about Z Factor.

1170
01:02:45,600 --> 01:02:46,680
Speaker 1: Z Factor is amazing.

1171
01:02:46,760 --> 01:02:50,080
Speaker 3: Z Factor goes beyond melatonin and it uses a combination

1172
01:02:50,120 --> 01:02:52,560
Speaker 3: of four natural ingredients to help relax your mind so

1173
01:02:52,600 --> 01:02:55,000
Speaker 3: you fall asleep quicker, no groggy feeling when you wake up.

1174
01:02:55,240 --> 01:02:57,560
Speaker 3: Z Factor was developed by relief Factor, so you can

1175
01:02:57,600 --> 01:03:01,040
Speaker 3: count on the science behind it. Factor is brought to

1176
01:03:01,040 --> 01:03:03,120
Speaker 3: you by relief Factor. Right now, you guys could check

1177
01:03:03,160 --> 01:03:06,000
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1178
01:03:06,040 --> 01:03:08,720
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1179
01:03:08,760 --> 01:03:10,439
Speaker 3: is the number one eight hundred four relief or visit

1180
01:03:10,440 --> 01:03:13,360
Speaker 3: relieffactor dot com. Better Sleep without drugs. See how Z

1181
01:03:13,480 --> 01:03:15,880
Speaker 3: factor from relief Factor can get you disease that you want.

1182
01:03:16,160 --> 01:03:34,920
Speaker 11: That is relief Factor dot com.

1183
01:03:26,400 --> 01:03:29,120
Speaker 13: And more in three hours and four years at a

1184
01:03:29,200 --> 01:03:31,480
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1185
01:03:32,000 --> 01:03:37,280
Speaker 1: It's at Charlie Kirkshow okay?

1186
01:03:37,320 --> 01:03:39,960
Speaker 3: You hear me talk all the time about why Refi,

1187
01:03:40,280 --> 01:03:43,360
Speaker 3: Why Refi. They are phenomenal partners of this program. Priva

1188
01:03:43,360 --> 01:03:45,680
Speaker 3: student loan debt in America told us about three hundred

1189
01:03:45,720 --> 01:03:48,440
Speaker 3: billion dollars, but forty five billion of it is labeled

1190
01:03:48,480 --> 01:03:52,800
Speaker 3: as distressed. Why refly refinances distressed or defaulted private student

1191
01:03:52,880 --> 01:03:55,880
Speaker 3: loans that others simply will not touch. They provide you

1192
01:03:55,920 --> 01:03:58,919
Speaker 3: with a custom loan payment. Go to wyrefi dot com.

1193
01:03:58,960 --> 01:04:01,840
Speaker 3: Can you imagine being debt, not living under this burden anymore?

1194
01:04:02,080 --> 01:04:03,880
Speaker 3: The first step is contacting y refi.

1195
01:04:04,160 --> 01:04:05,120
Speaker 1: Do you have a co borrower?

1196
01:04:05,120 --> 01:04:06,840
Speaker 3: Well, y refi I can get them released from the

1197
01:04:06,880 --> 01:04:08,479
Speaker 3: loan and you can give mom or debt a break.

1198
01:04:08,520 --> 01:04:10,600
Speaker 3: Go eight call eight to eight y refi thirty four

1199
01:04:10,880 --> 01:04:13,000
Speaker 3: or log onto y refight dot com. That is why

1200
01:04:13,040 --> 01:04:15,240
Speaker 3: are e f y dot com. You can even skip

1201
01:04:15,280 --> 01:04:17,200
Speaker 3: a payment every six months up the twelve times of

1202
01:04:17,200 --> 01:04:20,120
Speaker 3: that penalty. Go to y refight dot com. Let's face it,

1203
01:04:20,160 --> 01:04:23,040
Speaker 3: if you have distressed or defaulted privatudent loans, nobody is

1204
01:04:23,080 --> 01:04:25,240
Speaker 3: coming to bail you out and bankruptcy is not an option.

1205
01:04:25,560 --> 01:04:27,960
Speaker 3: Go to y refight dot com. That is why are

1206
01:04:28,080 --> 01:04:30,480
Speaker 3: e f y dot com. If you are someone you

1207
01:04:30,520 --> 01:04:32,560
Speaker 3: know that might have privatudent loan debt, they can get

1208
01:04:32,600 --> 01:04:35,200
Speaker 3: you guys out of debt. Go to y refight dot com.

1209
01:04:35,200 --> 01:04:37,200
Speaker 3: That is why are e f y dot com. We'll

1210
01:04:37,200 --> 01:05:04,760
Speaker 3: be right back. We're back with Kobe and Chapter. I

1211
01:05:04,880 --> 01:05:07,800
Speaker 3: really enjoy this conversation. Maybe chapters for you, but you

1212
01:05:07,840 --> 01:05:10,680
Speaker 3: guys can get a free consultation at askchapter dot com.

1213
01:05:10,720 --> 01:05:14,640
Speaker 18: Watch and we educate them on what their needs and

1214
01:05:14,640 --> 01:05:16,760
Speaker 18: concerns are, and then we figure out what's right for them.

1215
01:05:16,960 --> 01:05:19,320
Speaker 18: If there's a Medicare plan that suits their needs, even

1216
01:05:19,320 --> 01:05:21,800
Speaker 18: if it's one that we don't earn any money on,

1217
01:05:21,960 --> 01:05:23,640
Speaker 18: we will still enroll someone in.

1218
01:05:23,480 --> 01:05:24,439
Speaker 1: That Medicare plan.

1219
01:05:24,640 --> 01:05:26,360
Speaker 18: And because it's the right thing to do, we think

1220
01:05:26,360 --> 01:05:29,280
Speaker 18: it creates a long term relationship with the customer and

1221
01:05:29,320 --> 01:05:32,600
Speaker 18: it actually makes the end user the customer. A really

1222
01:05:32,600 --> 01:05:35,680
Speaker 18: simple way to think about in any market, where are

1223
01:05:35,720 --> 01:05:38,080
Speaker 18: the incentives is who is the customer? If we were

1224
01:05:38,120 --> 01:05:42,240
Speaker 18: to go back to employer health insurance, the reason that

1225
01:05:42,280 --> 01:05:44,640
Speaker 18: it's tied to your employer is really a product of

1226
01:05:44,680 --> 01:05:48,320
Speaker 18: world War two, the government was trying to stem inflation

1227
01:05:48,440 --> 01:05:51,760
Speaker 18: and so froze wages, and the only way for employers

1228
01:05:51,920 --> 01:05:55,000
Speaker 18: to compete was to provide other benefits like health insurance,

1229
01:05:55,000 --> 01:05:57,040
Speaker 18: tax free health insurance. And so we're still eating the

1230
01:05:57,080 --> 01:06:00,640
Speaker 18: cost of that decision half a century later, almost a

1231
01:06:00,640 --> 01:06:05,760
Speaker 18: century later at this point. But there's the employer in

1232
01:06:05,760 --> 01:06:08,400
Speaker 18: that case is the customer right? The health insurance company

1233
01:06:08,480 --> 01:06:10,840
Speaker 18: sells to the employer, not to the employee, not to

1234
01:06:10,880 --> 01:06:12,760
Speaker 18: all of us as consumers of the health insurance.

1235
01:06:12,760 --> 01:06:13,720
Speaker 1: It's similar in Medicare.

1236
01:06:14,160 --> 01:06:18,440
Speaker 18: The medicare broker thinks of the health insurance company as

1237
01:06:18,480 --> 01:06:20,680
Speaker 18: the customer, not the end user. I think that's a

1238
01:06:20,680 --> 01:06:23,720
Speaker 18: fundamental challenge with the industry and one of the things

1239
01:06:23,720 --> 01:06:24,800
Speaker 18: we've really flipped on its head.

1240
01:06:25,680 --> 01:06:30,080
Speaker 3: And so the to kind of complete the whole point,

1241
01:06:30,120 --> 01:06:32,880
Speaker 3: then how big are you, guys, how many employees and

1242
01:06:33,040 --> 01:06:35,320
Speaker 3: you have a success stories that are flowing.

1243
01:06:36,160 --> 01:06:39,880
Speaker 18: We've been really fortunate. We are helping hundreds of thousands

1244
01:06:39,960 --> 01:06:43,200
Speaker 18: of Americans navigate Medicare at this point. We've been around

1245
01:06:43,200 --> 01:06:45,000
Speaker 18: for a few years and growing one of the fast

1246
01:06:45,040 --> 01:06:47,320
Speaker 18: we're definitely the fastest growing Medicare organization in the country.

1247
01:06:47,320 --> 01:06:49,560
Speaker 18: One of the fastest growing companies in the country of

1248
01:06:49,880 --> 01:06:53,600
Speaker 18: any archetype. And so, yeah, we're helping a lot of people,

1249
01:06:53,640 --> 01:06:55,440
Speaker 18: and our goal is to help every American.

1250
01:06:56,160 --> 01:07:00,320
Speaker 3: Yeah, and so the you are an entrepren an r

1251
01:07:01,080 --> 01:07:04,360
Speaker 3: and you started this where did you work previously works?

1252
01:07:04,360 --> 01:07:05,400
Speaker 1: Did a company called talent here?

1253
01:07:05,560 --> 01:07:08,040
Speaker 3: You've heard of it? New York Times says they're wanting

1254
01:07:08,080 --> 01:07:09,160
Speaker 3: to spy on everybody.

1255
01:07:10,040 --> 01:07:12,480
Speaker 1: Uh, that is what the New York Times says.

1256
01:07:13,280 --> 01:07:16,480
Speaker 18: Yeah, it's uh, I mean, I loved it. There was

1257
01:07:16,480 --> 01:07:19,440
Speaker 18: a there was a Wall Street Journal article about some

1258
01:07:19,480 --> 01:07:21,439
Speaker 18: of the work we did just a couple of days ago.

1259
01:07:22,280 --> 01:07:22,520
Speaker 11: Uh.

1260
01:07:22,560 --> 01:07:24,760
Speaker 18: And I'm a huge fan of the work we did.

1261
01:07:24,880 --> 01:07:27,640
Speaker 18: I'm very proud of what we did. I was fortunate

1262
01:07:27,680 --> 01:07:30,040
Speaker 18: to be able to support the Marines in the Middle

1263
01:07:30,080 --> 01:07:34,560
Speaker 18: East and support a large number of areas of the government.

1264
01:07:34,720 --> 01:07:36,720
Speaker 3: Yeah, it's when the New York Times attacking you, then

1265
01:07:36,720 --> 01:07:40,080
Speaker 3: there's probably another there's there's something of the opposite of

1266
01:07:40,080 --> 01:07:42,800
Speaker 3: the truth there. And so there's been some great people

1267
01:07:42,800 --> 01:07:46,040
Speaker 3: that have come out of that. So let's let's now

1268
01:07:46,080 --> 01:07:49,080
Speaker 3: talk a little more broadly about government waste. How what

1269
01:07:49,200 --> 01:07:52,640
Speaker 3: is your philosophy on the inefficiencies of government and how

1270
01:07:52,680 --> 01:07:54,520
Speaker 3: we can try to modernize it.

1271
01:07:54,520 --> 01:07:55,800
Speaker 1: It's a really tough problem.

1272
01:07:56,000 --> 01:07:59,280
Speaker 18: I spent almost a decade working with the government while

1273
01:07:59,280 --> 01:08:02,520
Speaker 18: at palent here and now at Chapter in different in

1274
01:08:02,560 --> 01:08:06,160
Speaker 18: different ways. I think one of the least sexy but

1275
01:08:06,200 --> 01:08:10,360
Speaker 18: most fundamental UH improvements that the government needs to make

1276
01:08:10,400 --> 01:08:13,320
Speaker 18: and they're trying to make now is around. This is

1277
01:08:13,360 --> 01:08:15,680
Speaker 18: going to sound so silly, but HR policies, how do

1278
01:08:15,720 --> 01:08:18,120
Speaker 18: you hire the best people incentivize the best people?

1279
01:08:18,160 --> 01:08:19,160
Speaker 1: Because what are organizations?

1280
01:08:19,200 --> 01:08:21,240
Speaker 18: There are groups of people trying to make good decisions,

1281
01:08:21,840 --> 01:08:23,880
Speaker 18: and you need to have a way for people to

1282
01:08:24,400 --> 01:08:26,479
Speaker 18: for the government to hire the best people, to retain

1283
01:08:26,520 --> 01:08:27,880
Speaker 18: the best people, and to let.

1284
01:08:27,760 --> 01:08:30,000
Speaker 1: Go of people who aren't are inappropriate fit.

1285
01:08:30,520 --> 01:08:32,400
Speaker 18: And I think that's one of the hardest things for

1286
01:08:32,439 --> 01:08:34,800
Speaker 18: the government to do, not only because the government, but

1287
01:08:34,840 --> 01:08:36,800
Speaker 18: it's and it's not unique to the government. Any large

1288
01:08:36,840 --> 01:08:40,000
Speaker 18: organization has this challenge. Any and you know, these are

1289
01:08:40,120 --> 01:08:43,519
Speaker 18: hundreds of thousands of people in these in these government agencies.

1290
01:08:43,560 --> 01:08:45,640
Speaker 1: It's a lot of people to manage. It's hard.

1291
01:08:46,200 --> 01:08:49,559
Speaker 3: Yeah, And so the more in the HR, he who

1292
01:08:49,560 --> 01:08:52,320
Speaker 3: controls the HR will control the personnel. And with personnel

1293
01:08:52,439 --> 01:08:55,679
Speaker 3: is policy. Where did we go wrong? As a country,

1294
01:08:55,720 --> 01:08:58,280
Speaker 3: just more broadly, at the at the at the collapse

1295
01:08:58,360 --> 01:09:03,200
Speaker 3: of robust stature, how did we run human resources hiring

1296
01:09:03,520 --> 01:09:08,160
Speaker 3: onboarding forty years fifty years ago, not just technologically but practically.

1297
01:09:08,439 --> 01:09:10,200
Speaker 3: Where did we go how and why did we go

1298
01:09:10,240 --> 01:09:10,880
Speaker 3: wrong that way?

1299
01:09:11,400 --> 01:09:14,840
Speaker 18: I think it's been a product of a lot of

1300
01:09:14,920 --> 01:09:19,760
Speaker 18: different issues. One is the government wants to provide more

1301
01:09:19,760 --> 01:09:22,120
Speaker 18: and more services over time. That's just been a general

1302
01:09:22,120 --> 01:09:27,920
Speaker 18: trend across pretty much every administration, and that often includes

1303
01:09:28,000 --> 01:09:29,320
Speaker 18: bringing on more people.

1304
01:09:30,200 --> 01:09:31,559
Speaker 1: And then there are a lot of rules.

1305
01:09:31,600 --> 01:09:35,040
Speaker 18: There are a lot of different interest groups who promote

1306
01:09:35,160 --> 01:09:40,040
Speaker 18: different areas of investment for different groups of people, and

1307
01:09:40,040 --> 01:09:42,519
Speaker 18: that creates sort of different little fiefdoms in the government

1308
01:09:42,680 --> 01:09:47,000
Speaker 18: in different agencies. And because the sort of political class

1309
01:09:47,040 --> 01:09:52,120
Speaker 18: the administ the political appointees change roughly every four years

1310
01:09:52,160 --> 01:09:54,000
Speaker 18: or every eight years with the administration change, but you

1311
01:09:54,120 --> 01:09:57,679
Speaker 18: have the civil servant class which doesn't change. It creates

1312
01:09:57,680 --> 01:10:03,280
Speaker 18: this really interesting and often challenged relationship between people who

1313
01:10:03,439 --> 01:10:05,200
Speaker 18: are there for a very long time and people who

1314
01:10:05,200 --> 01:10:06,960
Speaker 18: are not. And it's really hard.

1315
01:10:06,960 --> 01:10:08,280
Speaker 1: I don't have it. I don't have an easy solution

1316
01:10:08,360 --> 01:10:08,640
Speaker 1: for it.

1317
01:10:08,880 --> 01:10:12,640
Speaker 3: Yeah, and so what are some of the other massive inefficiencies.

1318
01:10:12,680 --> 01:10:16,320
Speaker 18: You think in the government that technology absolutely, I think

1319
01:10:16,439 --> 01:10:21,599
Speaker 18: we are The way that our government procures technology is

1320
01:10:22,200 --> 01:10:23,400
Speaker 18: really stuck in the Stone age.

1321
01:10:23,800 --> 01:10:25,160
Speaker 1: And I'll give a couple of examples.

1322
01:10:25,600 --> 01:10:27,599
Speaker 18: So one is sort of a defense example, and one

1323
01:10:27,680 --> 01:10:31,960
Speaker 18: is a medicare example. In the defense world, you have

1324
01:10:32,040 --> 01:10:34,280
Speaker 18: these cost plus contracts, and so for people who aren'

1325
01:10:34,280 --> 01:10:37,160
Speaker 18: aren't familiar, cost plus is basically a way of contracting

1326
01:10:37,160 --> 01:10:39,519
Speaker 18: where a private company will say, Hey, it's going to

1327
01:10:39,560 --> 01:10:41,519
Speaker 18: cost me a dollar to produce the switchet. I'm going

1328
01:10:41,600 --> 01:10:45,599
Speaker 18: to charge the government three times my cost in this case.

1329
01:10:53,479 --> 01:10:56,320
Speaker 16: Tarrence Bates here with your Real America's Voice News Break,

1330
01:10:56,360 --> 01:10:59,400
Speaker 16: Thanks so much for being here with US. Federal prosecutors

1331
01:10:59,400 --> 01:11:01,519
Speaker 16: are looking to see laps suspects who are caught up

1332
01:11:01,520 --> 01:11:04,439
Speaker 16: in the Trump administration's crackdown on crime in the nation's

1333
01:11:04,479 --> 01:11:08,200
Speaker 16: capital with federal charges. The head of the Criminal Division

1334
01:11:08,200 --> 01:11:11,200
Speaker 16: at the Washington DC US Attorney's Office told his staff

1335
01:11:11,240 --> 01:11:14,439
Speaker 16: this week to charge as many federal cases as possible

1336
01:11:14,640 --> 01:11:17,640
Speaker 16: against people who are arrested in the recent DC sweeps.

1337
01:11:17,880 --> 01:11:20,479
Speaker 16: In the meantime, Vice President JB. Vance paid a visit

1338
01:11:20,520 --> 01:11:23,400
Speaker 16: to National guardsmen who are working to secure the nation's

1339
01:11:23,439 --> 01:11:25,000
Speaker 16: capital just a little while ago.

1340
01:11:25,600 --> 01:11:27,519
Speaker 1: Look at what's happened in Washington, d C. In just

1341
01:11:27,600 --> 01:11:28,839
Speaker 1: the past nine days.

1342
01:11:29,200 --> 01:11:31,759
Speaker 2: We've seen a thirty five percent production of violent crime.

1343
01:11:32,000 --> 01:11:34,760
Speaker 3: We see it over fifty percent production and robberies.

1344
01:11:35,000 --> 01:11:38,240
Speaker 18: We are seeing really substantial effects because these guys were

1345
01:11:38,280 --> 01:11:39,040
Speaker 18: busting their masks.

1346
01:11:39,280 --> 01:11:40,640
Speaker 11: So I would come here highlight what.

1347
01:11:40,640 --> 01:11:43,479
Speaker 1: They're doing, say than food and Ferson obviously passed out

1348
01:11:43,479 --> 01:11:47,200
Speaker 1: of the vergers. Most of all message American people, Look,

1349
01:11:47,479 --> 01:11:49,519
Speaker 1: we don't have to live like that. We do not

1350
01:11:49,720 --> 01:11:51,799
Speaker 1: have to allow our cities to be taken over.

1351
01:11:51,720 --> 01:11:54,120
Speaker 13: By violence chaos.

1352
01:11:54,920 --> 01:11:58,559
Speaker 16: Attorney General Pam Bondi says since the Trump administration's takeover

1353
01:11:58,640 --> 01:12:02,200
Speaker 16: of Washington's Metropolitis Police Department, there have been at least

1354
01:12:02,280 --> 01:12:04,519
Speaker 16: four hundred and eighty five arrests or four hundred and

1355
01:12:04,560 --> 01:12:07,920
Speaker 16: sixty five arrests excuse me, for everything from homicide to

1356
01:12:08,000 --> 01:12:11,000
Speaker 16: drugs to gun offenses. There's still no word, though, how

1357
01:12:11,040 --> 01:12:15,520
Speaker 16: many of those arrests are eligible for federal prosecution. Federal convictions,

1358
01:12:15,520 --> 01:12:19,320
Speaker 16: by the way, tend to carry lengthier sentences. The Texas

1359
01:12:19,360 --> 01:12:22,160
Speaker 16: State House is expected to vote on the state's controversial

1360
01:12:22,479 --> 01:12:26,559
Speaker 16: congressional redistricting map today. The plan advanced out of Committee

1361
01:12:26,640 --> 01:12:31,439
Speaker 16: late Tuesdays, setting up a showdown between House Democrats and Republicans. However,

1362
01:12:31,560 --> 01:12:34,840
Speaker 16: Republicans have a significant majority that should make passage of

1363
01:12:34,880 --> 01:12:38,280
Speaker 16: the bill inevitable. You may remember dozens of Texas State

1364
01:12:38,320 --> 01:12:41,120
Speaker 16: Democrats left the state for two weeks in hopes of

1365
01:12:41,120 --> 01:12:45,679
Speaker 16: derailing passage of the maps. Many returned to Austin this week, though,

1366
01:12:45,960 --> 01:12:49,519
Speaker 16: creating quorum and setting the stage for today's vote. State

1367
01:12:49,560 --> 01:12:53,400
Speaker 16: Democrats are arguing their holdout was successful because it bought

1368
01:12:53,400 --> 01:12:56,639
Speaker 16: time for California to redraw its voting districts to give

1369
01:12:56,720 --> 01:13:00,640
Speaker 16: Democrats an advantage and offset any Republican gains in Texas.

1370
01:13:01,000 --> 01:13:04,320
Speaker 16: President Trump supports Texas's new voting map as he hopes

1371
01:13:04,360 --> 01:13:08,960
Speaker 16: to extend the GOP's majority in the US House. Well, folks,

1372
01:13:08,960 --> 01:13:11,519
Speaker 16: we've got a bird's eye view for you of Hurricane Aaron.

1373
01:13:12,040 --> 01:13:14,559
Speaker 16: Here's a quick look at the eye of the massive storm.

1374
01:13:14,600 --> 01:13:17,760
Speaker 16: This video was taken from inside of an Air Force plane.

1375
01:13:17,920 --> 01:13:20,240
Speaker 16: The storm is continuing to grow in size and expected

1376
01:13:20,280 --> 01:13:22,799
Speaker 16: to bring a massive storm search to the East Coast.

1377
01:13:32,320 --> 01:13:36,280
Speaker 13: Author of the Mega Doctrine and president of Turning Point USA,

1378
01:13:36,520 --> 01:13:37,720
Speaker 13: here's Charlie.

1379
01:13:37,479 --> 01:13:41,240
Speaker 3: Kirk all right, I want to tell you guys about

1380
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Speaker 3: my Patriots Supply before we get back to this interview.

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1385
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Speaker 3: in part by My Patriots Supply dot Com.

1396
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Speaker 18: So I'm going to charge the government three dollars. It's

1397
01:14:24,680 --> 01:14:25,760
Speaker 18: going to cost me a dollar. We're going to make

1398
01:14:25,760 --> 01:14:27,360
Speaker 18: two dollars a profit. And that's going to be a

1399
01:14:27,400 --> 01:14:29,840
Speaker 18: consistent way of doing it. The problem with that is

1400
01:14:29,840 --> 01:14:35,400
Speaker 18: it disincentivizes innovation, It disincentivizes investment into new ways of

1401
01:14:35,439 --> 01:14:37,800
Speaker 18: doing things because the company is always going to make

1402
01:14:37,800 --> 01:14:42,960
Speaker 18: the same profit margin, right, And the government has there

1403
01:14:42,960 --> 01:14:44,719
Speaker 18: are a lot of rules and a lot of executive

1404
01:14:44,800 --> 01:14:47,440
Speaker 18: orders that have come out, particularly in this current administration,

1405
01:14:48,240 --> 01:14:50,840
Speaker 18: to move away from that model, but the civil serving

1406
01:14:50,880 --> 01:14:53,120
Speaker 18: class is still stuck there, and we're seeing that in

1407
01:14:53,479 --> 01:14:59,800
Speaker 18: medicare as well. At HHS. They're a whole host of technologies,

1408
01:14:59,800 --> 01:15:03,479
Speaker 18: how lenges and procurement challenges, some of which aren't that

1409
01:15:04,040 --> 01:15:07,000
Speaker 18: hard to solve that their most technical problem, but they're

1410
01:15:07,080 --> 01:15:09,000
Speaker 18: very hard to solve because you have these people with

1411
01:15:09,040 --> 01:15:12,519
Speaker 18: different incentives and different uh, different sort of fiefdoms.

1412
01:15:12,520 --> 01:15:15,040
Speaker 3: As I was saying, yeah, and it's just there's just

1413
01:15:15,040 --> 01:15:19,360
Speaker 3: a recalcitrants to any sort of technological innovation or adaptation.

1414
01:15:20,320 --> 01:15:22,800
Speaker 3: And I guess that's part of why you started your business.

1415
01:15:22,840 --> 01:15:24,479
Speaker 3: And it just goes to show that the private sector

1416
01:15:24,520 --> 01:15:26,760
Speaker 3: is doing everything the government wants, you know, wished it

1417
01:15:26,800 --> 01:15:32,040
Speaker 3: could do. From SpaceX to you know Palenteer you mentioned, right.

1418
01:15:31,920 --> 01:15:34,280
Speaker 18: Both SpaceX and Palenter had to sue the government to

1419
01:15:34,360 --> 01:15:37,880
Speaker 18: get a business talk about that. So Palenteer Palenter sued

1420
01:15:38,120 --> 01:15:42,160
Speaker 18: the US Army in one for this same UH federal

1421
01:15:42,160 --> 01:15:46,519
Speaker 18: actors as streamlining Act called FACES Statute, where basically, UH

1422
01:15:46,640 --> 01:15:50,559
Speaker 18: the government was not allowing Palenteer to compete on a

1423
01:15:50,680 --> 01:15:53,679
Speaker 18: very large defense contract because the government wanted to build

1424
01:15:53,720 --> 01:15:55,479
Speaker 18: it themselves, and so what do they.

1425
01:15:55,360 --> 01:15:58,439
Speaker 3: Do also expand it? Because people attack Palenteer all the time.

1426
01:15:59,120 --> 01:16:02,840
Speaker 1: Okay, I don't work up culture, but I care about truth.

1427
01:16:02,920 --> 01:16:05,519
Speaker 18: I don't sure, I'm just I'm just I'm just sharing

1428
01:16:05,560 --> 01:16:07,479
Speaker 18: that so that they don't get mad at me. But

1429
01:16:07,600 --> 01:16:10,160
Speaker 18: at a high level, it's very it's very simple, it's

1430
01:16:10,200 --> 01:16:13,440
Speaker 18: very un sexy. Palenteer is very good at building software

1431
01:16:13,600 --> 01:16:16,720
Speaker 18: that allows people to analyze data. It integrates data and

1432
01:16:16,800 --> 01:16:17,719
Speaker 18: analyze data.

1433
01:16:17,760 --> 01:16:18,439
Speaker 1: It's very simple.

1434
01:16:18,520 --> 01:16:22,080
Speaker 18: So it's if you're If you're upset at Palenteer, I

1435
01:16:22,120 --> 01:16:24,960
Speaker 18: think you also have to be upset at Microsoftware, Microsoft Office.

1436
01:16:25,000 --> 01:16:26,759
Speaker 18: I think you also have to be upset at Amazon

1437
01:16:26,800 --> 01:16:28,920
Speaker 18: for a WS products. I think you have to be

1438
01:16:29,000 --> 01:16:32,040
Speaker 18: upset at pretty much any company that builds data analysis products,

1439
01:16:32,479 --> 01:16:33,800
Speaker 18: you know, which is hard to be upset at because

1440
01:16:33,800 --> 01:16:35,680
Speaker 18: they actually do provide a lot of value to the.

1441
01:16:35,600 --> 01:16:37,280
Speaker 3: Worst, so they sued, I interrupted you.

1442
01:16:37,880 --> 01:16:41,439
Speaker 18: Yeah, so Palenteer sued the army for not allowing Palateer

1443
01:16:41,560 --> 01:16:45,760
Speaker 18: to compete on a particular government contract that Palenteer thought

1444
01:16:45,800 --> 01:16:50,240
Speaker 18: that it was best suited for, and the government's uh claim.

1445
01:16:50,040 --> 01:16:52,160
Speaker 1: Was that it should be built by the government.

1446
01:16:52,320 --> 01:16:54,320
Speaker 18: And this is I think a much broader issue, which

1447
01:16:54,360 --> 01:16:56,960
Speaker 18: again we're seeing in pretty much every federal agency where

1448
01:16:56,960 --> 01:17:00,240
Speaker 18: the government is still trying to build software themselves, which

1449
01:17:00,240 --> 01:17:01,320
Speaker 18: makes no sense.

1450
01:17:01,360 --> 01:17:03,880
Speaker 3: I mean, the government can barely deliver the mail no

1451
01:17:03,960 --> 01:17:05,920
Speaker 3: offense and then I mean one hundred percent, So you're

1452
01:17:05,920 --> 01:17:07,680
Speaker 3: trying to say the government is building. So I mean,

1453
01:17:07,720 --> 01:17:10,360
Speaker 3: how does that even is like an incomprehensible concept.

1454
01:17:10,400 --> 01:17:11,439
Speaker 1: There's there's two sides of it.

1455
01:17:11,479 --> 01:17:14,280
Speaker 18: One is the government employees a small number of actual engineers,

1456
01:17:14,360 --> 01:17:16,320
Speaker 18: very small. We're talking about like a handful of people

1457
01:17:16,320 --> 01:17:19,679
Speaker 18: at each agency who try to build. But the much

1458
01:17:19,680 --> 01:17:22,600
Speaker 18: more pernicious and much wider version of this is you

1459
01:17:22,680 --> 01:17:26,559
Speaker 18: have the government consultants and contractors. These are you know,

1460
01:17:26,600 --> 01:17:28,880
Speaker 18: the booze allans, the centres, the miners.

1461
01:17:28,920 --> 01:17:30,960
Speaker 1: They're literally like attas exactly.

1462
01:17:31,200 --> 01:17:33,040
Speaker 18: They have government, you know, they have the government ideas,

1463
01:17:33,040 --> 01:17:37,280
Speaker 18: they're viewed almost internally at times as government employees, and

1464
01:17:37,439 --> 01:17:40,960
Speaker 18: they're the ones sometimes exactly, they're the ones sucking the

1465
01:17:40,960 --> 01:17:42,639
Speaker 18: money out of the system. And I think if if

1466
01:17:42,640 --> 01:17:44,160
Speaker 18: you want to go after anyone, you go after the

1467
01:17:44,200 --> 01:17:45,160
Speaker 18: big consult well, and.

1468
01:17:45,120 --> 01:17:47,080
Speaker 3: That that's you know, let's let's zero in on that.

1469
01:17:47,080 --> 01:17:49,720
Speaker 3: That never gets talked about. Right, So we're always like, Okay,

1470
01:17:49,760 --> 01:17:51,559
Speaker 3: the Department of Labor has you know, I don't know,

1471
01:17:51,600 --> 01:17:53,519
Speaker 3: sixty thousand people that I don't know see that much

1472
01:17:53,680 --> 01:17:57,080
Speaker 3: whatever Department Education. But there's sometimes double or triple that

1473
01:17:57,160 --> 01:18:00,719
Speaker 3: of government contractors. That's that's where we should art the cutting.

1474
01:18:01,680 --> 01:18:03,960
Speaker 3: Absolutely what I mean, I don't want to get too political,

1475
01:18:04,000 --> 01:18:06,439
Speaker 3: but why have Republicans refused to start that? A lot

1476
01:18:06,439 --> 01:18:09,280
Speaker 3: of them finance their campaigns too, right, Like you have

1477
01:18:09,360 --> 01:18:12,599
Speaker 3: these major law firms like McKinsey while they're consulting and

1478
01:18:13,120 --> 01:18:16,080
Speaker 3: they just get checks every month from the government, and

1479
01:18:16,120 --> 01:18:18,919
Speaker 3: they have badges they have like literal it's not visitor badges.

1480
01:18:19,120 --> 01:18:21,640
Speaker 3: They're able to badge in and badge out. Yeah, and

1481
01:18:22,439 --> 01:18:24,120
Speaker 3: it's not just a special governm employee. They have like

1482
01:18:24,520 --> 01:18:28,599
Speaker 3: a permanent government Like they've desks of people that are

1483
01:18:28,640 --> 01:18:31,479
Speaker 3: just for contractors in the governments. Has this made us

1484
01:18:31,479 --> 01:18:32,040
Speaker 3: more efficient?

1485
01:18:32,479 --> 01:18:34,639
Speaker 1: No, it's made that ramatically less efficient.

1486
01:18:34,680 --> 01:18:36,840
Speaker 3: That's the argument. They're like, well, we need these, you know,

1487
01:18:36,960 --> 01:18:40,000
Speaker 3: McKinsey types, because otherwise the government wuld be super inefficient.

1488
01:18:40,320 --> 01:18:43,519
Speaker 18: I think the issue here is you have there are

1489
01:18:43,520 --> 01:18:47,519
Speaker 18: definitely places, in very narrow scopes where the government should

1490
01:18:47,520 --> 01:18:50,120
Speaker 18: rely on third party experts for things. That is one

1491
01:18:50,200 --> 01:18:55,479
Speaker 18: hundred percent correct, But it's been so ballooned into let's

1492
01:18:55,600 --> 01:18:59,400
Speaker 18: use consultants for everything, and let's assume that consultants are

1493
01:18:59,400 --> 01:19:01,800
Speaker 18: the best people to build things, when instead we should

1494
01:19:01,800 --> 01:19:03,799
Speaker 18: look to the commercial market, look to the free market,

1495
01:19:03,960 --> 01:19:06,400
Speaker 18: and the government should say, hey, is there a better

1496
01:19:06,640 --> 01:19:09,760
Speaker 18: product that exists, Let's buy it and integrate it rather

1497
01:19:09,840 --> 01:19:13,320
Speaker 18: than and that can take a month, rather than let's

1498
01:19:13,360 --> 01:19:16,840
Speaker 18: give you know, eccentric or Boozellen or someone five years

1499
01:19:16,880 --> 01:19:21,120
Speaker 18: to build a worse version of the thing that already exists.

1500
01:19:21,200 --> 01:19:22,799
Speaker 3: Contractors are there in the federal government.

1501
01:19:22,800 --> 01:19:23,840
Speaker 1: I don't know, No, I don't know that.

1502
01:19:24,520 --> 01:19:25,960
Speaker 3: It's a got to be over a million.

1503
01:19:26,240 --> 01:19:27,639
Speaker 1: I would be surprised if it weren't.

1504
01:19:27,800 --> 01:19:32,240
Speaker 3: Yeah, and you have this permanent civil service bureaucracy, You

1505
01:19:32,280 --> 01:19:35,080
Speaker 3: have this permanent government contractor class and a DoD and

1506
01:19:35,160 --> 01:19:38,080
Speaker 3: CIA and the Pentagon. There's a ton of contractors that,

1507
01:19:38,400 --> 01:19:43,240
Speaker 3: especially in the Intel world, like remarkable. And so then

1508
01:19:43,600 --> 01:19:46,200
Speaker 3: the civil service we kind of know they're just slow

1509
01:19:46,320 --> 01:19:50,519
Speaker 3: and eurocratic. But the contractors, that's a whole They should

1510
01:19:50,560 --> 01:19:53,840
Speaker 3: be held to an either higher standard and are they no.

1511
01:19:53,960 --> 01:19:56,000
Speaker 1: Absolutely, in fact, they're held to a lower standard.

1512
01:19:56,160 --> 01:19:58,880
Speaker 18: They mess up and they almost fail upward, you have

1513
01:19:59,400 --> 01:20:02,200
Speaker 18: you have the these contracts that go so far over

1514
01:20:02,240 --> 01:20:04,439
Speaker 18: budget and take so much longer to build than they're

1515
01:20:04,439 --> 01:20:04,880
Speaker 18: supposed to.

1516
01:20:05,360 --> 01:20:06,519
Speaker 1: And then and then the.

1517
01:20:06,479 --> 01:20:08,439
Speaker 18: Government just says, oh, well, you know, we're already pot committed,

1518
01:20:08,479 --> 01:20:11,040
Speaker 18: we already spent five years building this thing.

1519
01:20:11,120 --> 01:20:12,960
Speaker 1: Let's just spend another two and let's just give them

1520
01:20:12,960 --> 01:20:13,400
Speaker 1: more money.

1521
01:20:13,439 --> 01:20:15,479
Speaker 18: And this is a product, in many ways of that

1522
01:20:15,520 --> 01:20:19,800
Speaker 18: cost plus contract instead of an outcomes based contracting. And

1523
01:20:19,840 --> 01:20:22,000
Speaker 18: we're seeing that at the Health and Human Services today

1524
01:20:22,000 --> 01:20:24,320
Speaker 18: as well. It's not unique to DoD or, to Intel.

1525
01:20:24,520 --> 01:20:28,720
Speaker 18: It's really across every part of the government. And I

1526
01:20:28,800 --> 01:20:32,960
Speaker 18: think the the number one place that Americans actually see

1527
01:20:33,040 --> 01:20:36,320
Speaker 18: the government more than any other place is with their medicare.

1528
01:20:36,360 --> 01:20:39,800
Speaker 18: You have seventy million Americans dealing with Medicare Every single year,

1529
01:20:41,160 --> 01:20:41,920
Speaker 18: seventy million.

1530
01:20:41,760 --> 01:20:43,679
Speaker 3: Americas do they shift from plan to plan?

1531
01:20:44,360 --> 01:20:46,880
Speaker 18: People It really depends on the on the details, but

1532
01:20:47,040 --> 01:20:50,000
Speaker 18: most people are eligible to make a plan switch roughly

1533
01:20:50,040 --> 01:20:53,960
Speaker 18: once a year, some people more than that, but it

1534
01:20:54,000 --> 01:20:55,360
Speaker 18: depends on the person's.

1535
01:20:55,040 --> 01:20:59,200
Speaker 3: Yeah and so and the CMS which is run by

1536
01:20:59,200 --> 01:21:06,840
Speaker 3: doctor Oz. That's a beast huge Medicaid And what would

1537
01:21:07,040 --> 01:21:09,760
Speaker 3: other ways with your company outside? How else do we

1538
01:21:09,800 --> 01:21:11,760
Speaker 3: save money with Medicare? Where are some of the other

1539
01:21:11,880 --> 01:21:13,880
Speaker 3: wastes in this behemoth?

1540
01:21:14,240 --> 01:21:16,439
Speaker 18: I think there's a few ears. One is it's just

1541
01:21:16,479 --> 01:21:20,600
Speaker 18: a massively inefficient system today. If you think about inefficiency

1542
01:21:20,640 --> 01:21:24,559
Speaker 18: creating waste, you have people who are signing up for

1543
01:21:24,880 --> 01:21:29,000
Speaker 18: the wrong Medicare plan. And different studies show different things,

1544
01:21:29,000 --> 01:21:32,880
Speaker 18: but roughly seventy to ninety percent of Americans are on

1545
01:21:32,960 --> 01:21:35,200
Speaker 18: the wrong Medicare plan for their needs. So if you

1546
01:21:35,200 --> 01:21:39,520
Speaker 18: think about the entire system, you have this massive inefficiency

1547
01:21:39,600 --> 01:21:42,920
Speaker 18: of what plans people are on, how they utilize those plans,

1548
01:21:43,240 --> 01:21:45,880
Speaker 18: and how the plans serve those end users.

1549
01:21:45,960 --> 01:21:47,080
Speaker 1: So that's one big area.

1550
01:21:47,320 --> 01:21:51,439
Speaker 18: The second big area is utilization, Like you have these

1551
01:21:51,479 --> 01:21:54,160
Speaker 18: Medicare plans that have all these benefits, but they're all

1552
01:21:54,200 --> 01:21:56,320
Speaker 18: locked in in the plans, and they make them so

1553
01:21:56,479 --> 01:22:00,360
Speaker 18: hard to use, and so seniors are offered the great

1554
01:22:00,400 --> 01:22:03,400
Speaker 18: hearing dental vision over the counter benefits, but they can

1555
01:22:03,520 --> 01:22:04,200
Speaker 18: actually use them.

1556
01:22:04,280 --> 01:22:05,920
Speaker 1: So one thing we've done it Chapters.

1557
01:22:05,960 --> 01:22:08,599
Speaker 18: We've built a free app that allows people to look

1558
01:22:08,680 --> 01:22:11,759
Speaker 18: up their Medicare plan, look up there over the counter benefits,

1559
01:22:12,040 --> 01:22:14,080
Speaker 18: and just redeem them at the click of a button,

1560
01:22:14,120 --> 01:22:16,519
Speaker 18: and then magically, a few days later, their free benefits

1561
01:22:16,600 --> 01:22:18,719
Speaker 18: show up at their door, instead of having to spend

1562
01:22:18,760 --> 01:22:22,559
Speaker 18: weeks calling different carriers, calling different middleware providers to understand

1563
01:22:22,560 --> 01:22:25,599
Speaker 18: what's going on. And this is just one very small example,

1564
01:22:25,680 --> 01:22:28,800
Speaker 18: of course, of the inefficiency in the waste, but you

1565
01:22:28,880 --> 01:22:33,439
Speaker 18: magnify that across everything, and there's just there's just no

1566
01:22:33,960 --> 01:22:35,799
Speaker 18: price transparency across the entire system.

1567
01:22:36,160 --> 01:22:37,560
Speaker 3: So no price transparency.

1568
01:22:37,640 --> 01:22:39,240
Speaker 18: No, if you go into it, if you go into

1569
01:22:39,320 --> 01:22:42,040
Speaker 18: a doctor's office and ask how much is this procedure

1570
01:22:42,080 --> 01:22:42,439
Speaker 18: going to?

1571
01:22:42,479 --> 01:22:44,320
Speaker 1: They don't even know exactly.

1572
01:22:44,439 --> 01:22:45,960
Speaker 3: It's not like they're withholding it. I don't know.

1573
01:22:46,080 --> 01:22:48,000
Speaker 1: Yeah, No, it's a third party paying.

1574
01:22:48,080 --> 01:22:50,759
Speaker 3: Is like the downfall of American healthcare.

1575
01:22:51,040 --> 01:22:52,840
Speaker 1: It's one of it's one of the two. I think

1576
01:22:52,840 --> 01:22:53,240
Speaker 1: that's one.

1577
01:22:53,280 --> 01:22:56,840
Speaker 18: I think the second biggest issue in healthcare is there's

1578
01:22:56,880 --> 01:23:01,280
Speaker 18: no longitudinal incentive for insurance carriers to provide good.

1579
01:23:02,160 --> 01:23:03,599
Speaker 3: Health So what does that mean?

1580
01:23:04,160 --> 01:23:09,280
Speaker 18: Every year, your employer can switch your healthcare or your

1581
01:23:09,360 --> 01:23:11,880
Speaker 18: Medicare plan can change. And so if you're a health

1582
01:23:11,880 --> 01:23:15,680
Speaker 18: insurance company and you want to create long term, good

1583
01:23:15,840 --> 01:23:18,439
Speaker 18: preventative healthcare, you don't know that you're going to have

1584
01:23:18,479 --> 01:23:20,320
Speaker 18: that customer in ten or twenty or thirty years, not

1585
01:23:20,360 --> 01:23:22,400
Speaker 18: to mention next year. Yes, so where's the incentive for

1586
01:23:22,439 --> 01:23:25,559
Speaker 18: the health insurance company, not to not to be charitable

1587
01:23:25,600 --> 01:23:27,360
Speaker 18: to the health insurance companies, but where's the incentive for

1588
01:23:27,400 --> 01:23:32,320
Speaker 18: them to make me healthier today rather than in fifty years.

1589
01:23:32,479 --> 01:23:34,559
Speaker 18: The incent the longitudinal incentive, just isn't there.

1590
01:23:34,880 --> 01:23:38,840
Speaker 3: And so the it just, well, here's a provocative question

1591
01:23:38,880 --> 01:23:41,000
Speaker 3: for you. Why has no one done what you're doing yet?

1592
01:23:43,920 --> 01:23:47,519
Speaker 18: When I started the company, pretty much everyone in the industry,

1593
01:23:48,720 --> 01:23:50,920
Speaker 18: I agree. I agree, pretty much everyone in the industry

1594
01:23:50,960 --> 01:23:53,040
Speaker 18: told me I was crazy, that what I wanted to

1595
01:23:53,040 --> 01:23:55,720
Speaker 18: do is illegal, and that I would fail within the

1596
01:23:55,760 --> 01:23:59,000
Speaker 18: first three months. And so I think some of it

1597
01:23:59,040 --> 01:24:00,960
Speaker 18: as path dependents, think a lot of a lot of

1598
01:24:00,960 --> 01:24:03,800
Speaker 18: people who operate in the health insurance space and the

1599
01:24:03,840 --> 01:24:06,760
Speaker 18: medicare space just frankly don't think about things in a

1600
01:24:06,800 --> 01:24:07,559
Speaker 18: new way that often.

1601
01:24:07,680 --> 01:24:08,599
Speaker 1: And part of it is technical.

1602
01:24:08,640 --> 01:24:11,080
Speaker 18: It's a very hard data and technology problem that we've

1603
01:24:11,080 --> 01:24:12,479
Speaker 18: had to solve. And I brought some of the best

1604
01:24:12,520 --> 01:24:15,439
Speaker 18: engineers I've worked with at at Palunteering and at other

1605
01:24:15,479 --> 01:24:20,160
Speaker 18: places to build for this, and the best technology individuals,

1606
01:24:20,200 --> 01:24:22,000
Speaker 18: the best companies don't really build for seniors.

1607
01:24:22,120 --> 01:24:23,639
Speaker 1: They build for problems they see.

1608
01:24:24,360 --> 01:24:27,439
Speaker 3: That's a good point. And I think, I think, how

1609
01:24:27,439 --> 01:24:30,519
Speaker 3: do I get Chinese food to my door, right to

1610
01:24:30,600 --> 01:24:31,759
Speaker 3: my apartment quicker?

1611
01:24:31,840 --> 01:24:34,080
Speaker 18: And I think it goes to this, fine the systematic

1612
01:24:34,160 --> 01:24:36,240
Speaker 18: issue that we have actually in our society that we

1613
01:24:36,280 --> 01:24:40,360
Speaker 18: don't have the right engagement, the intergenerational engagement with our

1614
01:24:40,920 --> 01:24:41,719
Speaker 18: with our seniors.

1615
01:24:41,800 --> 01:24:43,280
Speaker 3: No, And it's just like, I mean, I know we

1616
01:24:43,360 --> 01:24:45,439
Speaker 3: have a ton of amazing seniors that are watching this

1617
01:24:45,560 --> 01:24:48,400
Speaker 3: program and they're getting host by this stuff. So you

1618
01:24:48,439 --> 01:24:51,000
Speaker 3: guys are using artificial intelligence, is that right? We are

1619
01:24:51,120 --> 01:24:53,000
Speaker 3: talk a little about that. I want to have more

1620
01:24:53,080 --> 01:24:54,559
Speaker 3: macro conversation on AI.

1621
01:24:55,400 --> 01:24:57,559
Speaker 18: We use a lot of applied Ay, we don't build

1622
01:24:57,600 --> 01:25:01,200
Speaker 18: foundational models ourselves, nor should we but AI is really

1623
01:25:01,240 --> 01:25:05,320
Speaker 18: really great at automating repetitive tasks in a high quality way.

1624
01:25:05,600 --> 01:25:07,360
Speaker 3: So a lot what a lot of our good way

1625
01:25:07,360 --> 01:25:07,760
Speaker 3: of putting in.

1626
01:25:07,880 --> 01:25:09,800
Speaker 18: What a lot of our competitors do is they'll hire

1627
01:25:09,840 --> 01:25:12,599
Speaker 18: teams of thirty or forty or fifty people to listen

1628
01:25:12,680 --> 01:25:14,400
Speaker 18: to samples of phone calls because we do a lot

1629
01:25:14,439 --> 01:25:16,679
Speaker 18: on the phone, and they'll listen to samples of phone

1630
01:25:16,680 --> 01:25:19,080
Speaker 18: calls and say, hey, is this medicare advisor giving a

1631
01:25:19,080 --> 01:25:21,160
Speaker 18: good experience or a bad experience? But they're listening to

1632
01:25:21,200 --> 01:25:23,240
Speaker 18: one or two percent of calls. What we do is

1633
01:25:23,240 --> 01:25:25,559
Speaker 18: we have an AI listened to one hundred percent of calls,

1634
01:25:25,960 --> 01:25:29,439
Speaker 18: flag issues and much faster, much more real time, and

1635
01:25:29,520 --> 01:25:30,120
Speaker 18: much lower cost.

1636
01:25:30,240 --> 01:25:31,760
Speaker 3: What company is able to build that kind of a

1637
01:25:31,760 --> 01:25:32,320
Speaker 3: model for you?

1638
01:25:33,000 --> 01:25:36,640
Speaker 18: We use we we're always testing the latest model, so

1639
01:25:36,680 --> 01:25:37,400
Speaker 18: we use so.

1640
01:25:37,400 --> 01:25:39,479
Speaker 1: Is that a large language model or okay, yep, so

1641
01:25:39,479 --> 01:25:41,240
Speaker 1: it's a large language model. So we use all the

1642
01:25:41,520 --> 01:25:42,040
Speaker 1: big guys.

1643
01:25:41,920 --> 01:25:44,480
Speaker 3: You'd expect, and they'll be able to do a boutique

1644
01:25:44,840 --> 01:25:46,280
Speaker 3: thing for Is that how it worked? You would go

1645
01:25:46,360 --> 01:25:49,599
Speaker 3: to a chat GPT or a Gemini or a grock.

1646
01:25:49,640 --> 01:25:51,760
Speaker 3: Can you say, hey, I'm a corporate actor and they build.

1647
01:25:51,840 --> 01:25:55,000
Speaker 3: Is that how I'm always interested how the backdoor corporate

1648
01:25:55,000 --> 01:25:57,479
Speaker 3: stuff works with these so I know front facing AI.

1649
01:25:57,800 --> 01:25:59,919
Speaker 18: Just the way it works is we go to their APIs,

1650
01:26:00,080 --> 01:26:03,280
Speaker 18: So we go to Gemini andthropic open a eyes, APIs.

1651
01:26:02,960 --> 01:26:05,439
Speaker 3: Perplexity, perplex yep, whatever you mean by API.

1652
01:26:05,920 --> 01:26:10,600
Speaker 18: So it's an app basically a back end program that

1653
01:26:10,720 --> 01:26:15,519
Speaker 18: allows us to programmatically communicate with that service.

1654
01:26:16,560 --> 01:26:18,120
Speaker 3: All right, before we end the segment, I want to

1655
01:26:18,160 --> 01:26:20,960
Speaker 3: talk to you guys about Legacy Box. Legacy Box is

1656
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1657
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1658
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1659
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1660
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1661
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1662
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1667
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1668
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Speaker 3: as conservative should preserve our past. Go to legacybox dot com,

1669
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Speaker 3: slash kirk find that box wherever it is attic, basement, closet.

1670
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Speaker 3: Go to legacybox dot com. Slash Kirk can take care

1671
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Speaker 3: of it today. You'll be glad you did. That is

1672
01:27:08,200 --> 01:27:12,000
Speaker 3: legacybox dot com, slash k i r k legacybox dot com.

1673
01:27:11,800 --> 01:27:26,120
Speaker 19: Slash on.

1674
01:27:27,680 --> 01:27:32,240
Speaker 13: American maide darn proud of it. The Charlie Kirk Show.

1675
01:27:34,000 --> 01:27:36,080
Speaker 1: Here's More with Kobe Blumenfeld gants.

1676
01:27:37,439 --> 01:27:41,160
Speaker 18: So instead of me logging into a web user interface,

1677
01:27:41,240 --> 01:27:45,360
Speaker 18: a chatbot says, hey, tell me about X. I can

1678
01:27:46,200 --> 01:27:48,480
Speaker 18: connect our two databases, for example.

1679
01:27:48,120 --> 01:27:49,240
Speaker 3: And that costs more money.

1680
01:27:49,240 --> 01:27:51,600
Speaker 18: Obviously, it costs more money usually because it's in an

1681
01:27:51,640 --> 01:27:54,000
Speaker 18: enterprise hearing it. And then on top of that, we

1682
01:27:54,080 --> 01:27:56,360
Speaker 18: are the ones building or working with other companies that

1683
01:27:56,400 --> 01:27:59,720
Speaker 18: build more products around it. So if we wanted to

1684
01:27:59,720 --> 01:28:03,400
Speaker 18: build the scorecard for our medicare advisor, sure we're the

1685
01:28:03,400 --> 01:28:05,640
Speaker 18: ones building that are working with other parties building it.

1686
01:28:05,760 --> 01:28:07,680
Speaker 18: The open ayes of the world, the anthropics of the world,

1687
01:28:07,720 --> 01:28:08,000
Speaker 18: are not the.

1688
01:28:08,360 --> 01:28:10,320
Speaker 3: I just think that's important because people only think of

1689
01:28:10,360 --> 01:28:13,800
Speaker 3: jang GPT as what they see front facing, but backfacing

1690
01:28:13,840 --> 01:28:16,080
Speaker 3: they could be scanning phone calls to make sure senior

1691
01:28:16,120 --> 01:28:17,360
Speaker 3: save money exactly.

1692
01:28:17,760 --> 01:28:21,080
Speaker 18: Yeah, and so that's exactly what third parties like us

1693
01:28:21,080 --> 01:28:21,240
Speaker 18: to do.

1694
01:28:21,720 --> 01:28:23,640
Speaker 3: So let's talk more broadly about AI. I mean, you're

1695
01:28:23,680 --> 01:28:25,920
Speaker 3: in the tech space, you come from that whole world.

1696
01:28:26,240 --> 01:28:28,200
Speaker 3: Are you an accelerationist? Do you have a little bit

1697
01:28:28,200 --> 01:28:31,880
Speaker 3: of skepticism? Do you think we should have more government control?

1698
01:28:32,360 --> 01:28:34,800
Speaker 3: What is your philosophy when it comes artificial intelligence.

1699
01:28:35,280 --> 01:28:37,479
Speaker 18: I think of AI in the same way I think

1700
01:28:37,520 --> 01:28:40,240
Speaker 18: about kind of any technology revolution, which I think makes

1701
01:28:40,280 --> 01:28:43,360
Speaker 18: me both an accelerationist and a skeptic at the same time,

1702
01:28:43,640 --> 01:28:45,880
Speaker 18: which is that I think it's a it's a much

1703
01:28:45,960 --> 01:28:50,640
Speaker 18: bigger change, but in the same way that technology accelerates,

1704
01:28:50,080 --> 01:28:53,959
Speaker 18: it's not It's not qualitatively different than the Internet.

1705
01:29:04,479 --> 01:29:06,920
Speaker 3: Here's your reminder to watch this full interview at members

1706
01:29:06,960 --> 01:29:09,080
Speaker 3: dot Charliekirk dot com and joined today. To be able

1707
01:29:09,120 --> 01:29:11,400
Speaker 3: to join our members, call this Friday. Here's more with

1708
01:29:11,479 --> 01:29:11,920
Speaker 3: Kobe in.

1709
01:29:12,000 --> 01:29:16,479
Speaker 18: Chapter to your point on ordering Chinese food, I was

1710
01:29:16,520 --> 01:29:18,880
Speaker 18: never able to just click a button thirty years ago

1711
01:29:18,960 --> 01:29:21,240
Speaker 18: to get Chinese food to my door today I can

1712
01:29:21,400 --> 01:29:24,840
Speaker 18: it's magic, and so AI looks like magic today, and

1713
01:29:24,880 --> 01:29:26,679
Speaker 18: it will continue to make more efficient.

1714
01:29:26,720 --> 01:29:29,160
Speaker 3: What are your greatest concerns with artificial intelligence?

1715
01:29:30,320 --> 01:29:34,559
Speaker 18: I think people rely will rely on it far too

1716
01:29:34,680 --> 01:29:37,800
Speaker 18: much without human oversight or human intervention. And maybe in

1717
01:29:37,880 --> 01:29:41,120
Speaker 18: some context that's okay, but broadly I don't think that's okay.

1718
01:29:41,920 --> 01:29:46,600
Speaker 18: I think from a more metaphysical perspective, almost or religious perspective,

1719
01:29:47,520 --> 01:29:50,120
Speaker 18: I think it's very hard to have a thing that

1720
01:29:50,200 --> 01:29:55,760
Speaker 18: humans have built as as compared to.

1721
01:29:56,200 --> 01:29:59,719
Speaker 1: An omniscient being. I think that's very dangerous.

1722
01:30:00,040 --> 01:30:02,280
Speaker 18: You mean by that, uh, there there are groups of

1723
01:30:02,280 --> 01:30:05,680
Speaker 18: people who think about AI as omnisia. And it has

1724
01:30:05,720 --> 01:30:09,280
Speaker 18: all the information, has all the data. It's not it

1725
01:30:09,280 --> 01:30:13,679
Speaker 18: doesn't have a soul, it doesn't have a good exactly,

1726
01:30:13,960 --> 01:30:14,840
Speaker 18: it doesn't have a good way to.

1727
01:30:16,160 --> 01:30:18,200
Speaker 1: Personify this information, but it does.

1728
01:30:19,000 --> 01:30:21,000
Speaker 18: It does have a lot of raw input, and so

1729
01:30:21,120 --> 01:30:24,480
Speaker 18: people think, oh, I can just rely on this supercomputer

1730
01:30:24,760 --> 01:30:28,439
Speaker 18: to make my decisions. And I think a society that

1731
01:30:28,680 --> 01:30:31,400
Speaker 18: just relies entirely it's almost like a society that just

1732
01:30:31,439 --> 01:30:35,200
Speaker 18: relies one hundred percent on technocrats, it's probably not going

1733
01:30:35,240 --> 01:30:42,200
Speaker 18: to I'm hesitant to say that government, should, you know,

1734
01:30:42,520 --> 01:30:46,320
Speaker 18: have some dictate that implicates how we how we use AI.

1735
01:30:46,479 --> 01:30:48,240
Speaker 18: I think that's very hard for the government to do.

1736
01:30:48,360 --> 01:30:49,960
Speaker 18: As as we just said, the government's not always the

1737
01:30:49,960 --> 01:30:52,360
Speaker 18: best with technology. I think a lot of it has

1738
01:30:52,400 --> 01:30:55,280
Speaker 18: to be free market and there there there do need

1739
01:30:55,320 --> 01:30:59,519
Speaker 18: to be some controls for what disclaimers do we allow,

1740
01:31:00,160 --> 01:31:01,960
Speaker 18: how do we source the data that goes into AI,

1741
01:31:02,560 --> 01:31:04,840
Speaker 18: and how is it checked? I think I think knowing

1742
01:31:04,840 --> 01:31:07,080
Speaker 18: whether the information that we're looking at is whether.

1743
01:31:06,920 --> 01:31:09,960
Speaker 3: It's correct or incorrect, and by what's standard and by.

1744
01:31:09,800 --> 01:31:12,639
Speaker 1: What standard exactly that's the key because AI starts determining

1745
01:31:12,640 --> 01:31:14,080
Speaker 1: the standard exactly. It's hard.

1746
01:31:14,400 --> 01:31:17,360
Speaker 3: So yeah, the do you give any credence or any

1747
01:31:17,400 --> 01:31:23,479
Speaker 3: of your brain space too singularity or the kind of

1748
01:31:23,479 --> 01:31:26,920
Speaker 3: more Armageddon darker takes on artificial intelligence?

1749
01:31:27,200 --> 01:31:29,439
Speaker 1: I don't. It's not something I think about all.

1750
01:31:29,520 --> 01:31:34,559
Speaker 18: No, that's okay, But why Because I view AI as

1751
01:31:35,040 --> 01:31:37,200
Speaker 18: I don't want to say, just another technology innovation, but

1752
01:31:37,240 --> 01:31:41,040
Speaker 18: just another technology innovation. I don't view it as something

1753
01:31:41,120 --> 01:31:44,479
Speaker 18: that will take over the world in sort of a

1754
01:31:44,479 --> 01:31:45,120
Speaker 18: Doom's day.

1755
01:31:45,320 --> 01:31:50,040
Speaker 3: Sure, I mean, trust me, I'm not making any proclamations here,

1756
01:31:50,360 --> 01:31:53,360
Speaker 3: but a big argument sometimes on the right is you know,

1757
01:31:53,400 --> 01:31:57,519
Speaker 3: it's Cyberdiine Systems terminator too, it's going to take over

1758
01:31:57,560 --> 01:32:01,960
Speaker 3: our grid. You know some of the large language models, Gemini.

1759
01:32:02,240 --> 01:32:04,439
Speaker 3: There's some evidence the show prior that it has a

1760
01:32:04,479 --> 01:32:05,720
Speaker 3: contempt for humanity?

1761
01:32:06,680 --> 01:32:07,920
Speaker 1: Is there any truth to that?

1762
01:32:08,760 --> 01:32:11,280
Speaker 18: I'm not the one building the model, but the way

1763
01:32:11,320 --> 01:32:12,000
Speaker 18: I read it, I know.

1764
01:32:12,040 --> 01:32:14,280
Speaker 1: But as a technology, the way I interpret it is.

1765
01:32:15,840 --> 01:32:19,439
Speaker 18: The models are trying to give us what we want

1766
01:32:19,479 --> 01:32:23,240
Speaker 18: to hear often and they're trying to figure out what

1767
01:32:23,280 --> 01:32:26,120
Speaker 18: we're trying to use it for. So there are plenty

1768
01:32:26,160 --> 01:32:28,559
Speaker 18: of people who are prompting and asking questions of these models,

1769
01:32:28,560 --> 01:32:30,720
Speaker 18: who who may have contempt for humanity, or who may

1770
01:32:30,720 --> 01:32:33,400
Speaker 18: ask questions that indicate contempt for humanity. So that's where

1771
01:32:33,400 --> 01:32:35,720
Speaker 18: I think it's learning some of these things. But it's

1772
01:32:35,800 --> 01:32:40,120
Speaker 18: very easy to imitate or to ape these conversations. It's

1773
01:32:40,240 --> 01:32:44,879
Speaker 18: very hard to truly have an AI that makes these decisions.

1774
01:32:44,880 --> 01:32:47,680
Speaker 3: At what moment do we know if it's reached singularity?

1775
01:32:47,880 --> 01:32:51,720
Speaker 1: Will we ever know? It's a great question. I think

1776
01:32:51,720 --> 01:32:52,720
Speaker 1: I would probably know.

1777
01:32:53,120 --> 01:32:58,920
Speaker 18: How I think we Well, there's has the AI reach singularity?

1778
01:32:58,960 --> 01:33:01,400
Speaker 18: And there's have we really lied upon the AI in

1779
01:33:01,439 --> 01:33:02,160
Speaker 18: a singularity.

1780
01:33:02,280 --> 01:33:03,840
Speaker 3: Well then tho's the third question, how do we know

1781
01:33:03,920 --> 01:33:04,439
Speaker 3: if it has?

1782
01:33:04,800 --> 01:33:05,000
Speaker 11: Right?

1783
01:33:05,160 --> 01:33:06,920
Speaker 18: So I don't think we would know unless we are

1784
01:33:06,920 --> 01:33:08,200
Speaker 18: relying on it as where I was getting it.

1785
01:33:08,240 --> 01:33:09,240
Speaker 3: Okay, so build that up.

1786
01:33:09,640 --> 01:33:13,439
Speaker 18: So let's say an AI has secretly exists today that

1787
01:33:13,720 --> 01:33:16,360
Speaker 18: already knows everything and is smarter than all of humanity

1788
01:33:16,439 --> 01:33:18,439
Speaker 18: and knows itself and knows itself which is the key,

1789
01:33:18,720 --> 01:33:20,479
Speaker 18: and can build more of itself, right, Yeah.

1790
01:33:20,360 --> 01:33:22,880
Speaker 3: And it looks outside of itself and can can really

1791
01:33:23,000 --> 01:33:25,720
Speaker 3: look at as humans do introspectively.

1792
01:33:25,880 --> 01:33:29,679
Speaker 18: Absolutely, let's say that exists, Like why would it stay

1793
01:33:30,160 --> 01:33:33,280
Speaker 18: hidden today? Probably because it's trying to amask some kind

1794
01:33:33,280 --> 01:33:34,840
Speaker 18: of power. That's sort of what at least what we

1795
01:33:34,840 --> 01:33:38,320
Speaker 18: would think is a rational reason. And we're not reliant

1796
01:33:38,479 --> 01:33:41,120
Speaker 18: or at least that we know of on an AI

1797
01:33:42,040 --> 01:33:43,840
Speaker 18: as a singularity. But I kind of think about it

1798
01:33:43,960 --> 01:33:47,679
Speaker 18: of it similar to like are we living in a simulation?

1799
01:33:48,200 --> 01:33:52,840
Speaker 18: Like how would we know? Yeah, we wouldn't, but I

1800
01:33:52,840 --> 01:33:53,479
Speaker 18: don't think we are.

1801
01:33:54,200 --> 01:33:54,320
Speaker 11: What.

1802
01:33:54,479 --> 01:33:56,880
Speaker 1: So you're a religious Jew? Is that correct?

1803
01:33:56,920 --> 01:33:57,080
Speaker 14: Yes?

1804
01:33:57,920 --> 01:34:01,360
Speaker 3: You eat cosh fruits. I'm shover shaba from a Christian perspective,

1805
01:34:02,160 --> 01:34:05,439
Speaker 3: I have a belief that the entire uh spread of

1806
01:34:05,479 --> 01:34:10,880
Speaker 3: the simulation argument in Silicon Valley is there. It's the

1807
01:34:10,880 --> 01:34:14,479
Speaker 3: politically correct way to say you're a theist because it's

1808
01:34:14,479 --> 01:34:17,400
Speaker 3: a lot of technologists that actually want to say they

1809
01:34:17,400 --> 01:34:18,880
Speaker 3: believe in God and the way they do it and

1810
01:34:18,920 --> 01:34:21,200
Speaker 3: it's like, we live in a simulation. So if you

1811
01:34:21,200 --> 01:34:23,080
Speaker 3: think about it, if you're if you say we live

1812
01:34:23,120 --> 01:34:25,600
Speaker 3: in a simulation, it's a it's a cutesy way of

1813
01:34:25,600 --> 01:34:28,760
Speaker 3: saying that this is designed and there's intentionality behind it.

1814
01:34:30,080 --> 01:34:32,360
Speaker 3: Will be back tomorrow, everybody, talk to you then, God

1815
01:34:32,360 --> 01:34:34,800
Speaker 3: bless you. Email us as always freedom at Charliekirk dot

1816
01:34:34,800 --> 01:34:48,120
Speaker 3: com and we'll speak to you sooner