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Speaker 1: Your holster is way more important than you think it is.

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Speaker 1: It's just way more important than you think it is.

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Speaker 1: What look, and I get that. The holsters not the

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Speaker 1: sexy part of carrying firearms. All right, you want to

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Speaker 1: talk about your weapon and your ammunition. You want to

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Speaker 1: talk about your safety training. You want to talk about

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Speaker 1: how you did at the range. Oh, look at my groups.

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Speaker 1: I was doing these failure drills today, and all that

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Speaker 1: stuff is really important. I mean, really really important. I'm

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Speaker 1: not discounting that, but I've known so many people who

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Speaker 1: do all those things. They take all the necessary steps,

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Speaker 1: and then they carry with a holster they bought from

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Speaker 1: a big box hunting store that was made a thousand

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Speaker 1: at a time. Please don't put your life in one

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Speaker 1: of those holsters. You need to trust Northwest Retention Systems

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Speaker 1: because it's all custom made gear. It's the only thing

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Speaker 1: I carry around NW Retention dot Com. That's NW Retention

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Speaker 1: dot Com used to promo co Jesse gets you ten

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Speaker 1: percent off. This is a Jesse Kelly show. All right,

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Speaker 1: here we go kicking off the Jesse Kelly program. Jesse

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Speaker 1: took the next couple of days off for the holiday week,

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Speaker 1: so he let me sit in the big chair, and

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Speaker 1: that's right. It is b K here, host of the

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Speaker 1: wildly popular weekly news podcast World News with BK. You

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Speaker 1: guys can find out on Spotify or iTunes or any

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Speaker 1: of your streaming platforms, and you can also follow me

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Speaker 1: on Twitter for breaking your throughout the week at Bravo

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Speaker 1: Kilo Actual and check out my Instagram at bk Actual

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Speaker 1: if you would quickly. I know a lot of you

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Speaker 1: have probably heard me before on Jesse show, either guesting,

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Speaker 1: you know, doing a guest appearance or filling in for him.

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Speaker 1: He's been cool enough to let me fill in a

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Speaker 1: few times. But for those of you who haven't, just

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Speaker 1: briefly about me. Like Jesse, I'm a veteran. I was

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Speaker 1: on the United States Air Force pairer rescue teams as

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Speaker 1: a PJ for a while, and then after that I

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Speaker 1: kind of fell into the contracting world and I worked

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Speaker 1: over in the Middle East, almost all Iraq, in high

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Speaker 1: threat security for various government agencies and did that for

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Speaker 1: a while, like almost ten years. And before while I

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Speaker 1: was kind of doing that, I was kind of doing

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Speaker 1: a writing gig on the side, and that's kind of

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Speaker 1: how I started getting interested in podcasting. And I decided

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Speaker 1: to see if I could be you do that or

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Speaker 1: be any good at it, and then I just decided

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Speaker 1: to keep doing it. So now it's been going on now,

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Speaker 1: the podcast, I mean, we're over two hundred episodes. It's

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Speaker 1: been going four years plus, and I feel pretty comfortable

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Speaker 1: saying that it's the longest running veteran hosted solo news

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Speaker 1: podcast on the Internet. That's right, a bold claim, indeed.

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Speaker 1: And I really appreciate you guys checking out. I know,

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Speaker 1: I got a lot of people that have hit me

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Speaker 1: up from the Jesse Kelly Show and gone over and

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Speaker 1: checked out the podcast and left me nice reviews and

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Speaker 1: stuff on iTunes and sent nice notes, and I encourage

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Speaker 1: you to do all that. So I'm gonna be sticking

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Speaker 1: with you guys for the next couple hours here. And

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Speaker 1: just a little bit about what I do is I

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Speaker 1: cover a lot of like international news stories and then

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Speaker 1: the oddity stories. But I like to cover the international

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Speaker 1: news stuff that really doesn't get a lot of play

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Speaker 1: in the American media, especially in this you know, the

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Speaker 1: Trump era, where everything that had to do with Trump

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Speaker 1: I had to have a Trump angle otherwise basically they

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Speaker 1: weren't really interested in giving it more than thirty seconds

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Speaker 1: or so. So we do a lot of deep diving

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Speaker 1: on stories and I like the podcast format for that.

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Speaker 1: I go two and a half hours, no breaks, no editing,

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Speaker 1: no big deal. I'm the only guy with the mental

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Speaker 1: capacity who's capable of such a feat, and I take

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Speaker 1: my time with stories and we really get into them

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Speaker 1: and delve into the details. Which the devil is in

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Speaker 1: the details, isn't That's the truth? So what do I

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Speaker 1: have for you today? Well, I thought i'd start with

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Speaker 1: a little bit of a repeat of what I talked

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Speaker 1: about on the podcast last Saturday of the Newest One.

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Speaker 1: And this is the report that came out about the

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Speaker 1: Australian Defense Forces and these I don't know if you

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Speaker 1: want to call more crimes. They stopped short of calling

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Speaker 1: them more crimes. Basically some bad stuff that was happening

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Speaker 1: by Australia's military overseas. So this was the findings of

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Speaker 1: a four year inquiry that kind of painted a brutal

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Speaker 1: picture of this special forces culture and they talked about it,

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Speaker 1: rewarded the killing of innocence and prisoners and methodically covering

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Speaker 1: it up. So we are going through the report here

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Speaker 1: and you see examples like commanders ordering junior soldiers to

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Speaker 1: execute prisoners so they could record their first kill. Adolescents, farmers,

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Speaker 1: and other noncombatants were shot dead in circumstances clearly outside

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Speaker 1: the heat of battle, and superior officers created such a

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Speaker 1: godlike aura around themselves that troops dared not question them,

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Speaker 1: even as thirty nine Afghans were unlawfully killed. So this

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Speaker 1: was a four year examination by the Inspector General of

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Speaker 1: the Australian Defense Force. And this is the first time

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Speaker 1: that a member of the American led coalition in Afghanistan

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Speaker 1: has so publicly and at such a huge scale, accused

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Speaker 1: its troops of wrongdoing. Now, this inquiry examined the period

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Speaker 1: from two thousand and five to twenty sixteen. As I said,

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Speaker 1: it did stop short of calling the killing's war crimes,

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Speaker 1: which I found interesting. But the highly redacted report, and

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Speaker 1: it is highly redacted. I mean I went to the

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Speaker 1: actual report to try to read it and it's almost unreadable,

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Speaker 1: Like the entire table of contents is redacted, and you're like, really, dude,

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Speaker 1: like what's the point here? But that highly redacted report

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Speaker 1: singles out quote possibly the most disgraceful episode in Australia's

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Speaker 1: military history end quote, and is calling for the criminal

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Speaker 1: investigation of nineteen soldiers. So the country's top military hancho,

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Speaker 1: there's a guy named General Angus Campbell, and he said

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Speaker 1: he accepted the findings and this is crazy, would eliminate

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Speaker 1: an entire unit at the center of the investigation. So

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Speaker 1: you can imagine that this finding kind of looks on

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Speaker 1: this legacy of a you know, this nineteen year conflict

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Speaker 1: that is still as we speak, dragging on and on.

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Speaker 1: And I'll get into more of that in a moment.

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Speaker 1: So if you're looking for a like a comparison to

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Speaker 1: the US, it's not that really hasn't happened because the

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Speaker 1: US investigations of these improper war crimes or whatever you

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Speaker 1: want to call them, when they have occurred, have generally

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Speaker 1: centered not on entire units, but on individuals. Like do

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Speaker 1: you remember that guy's staff Sergeant Robert Bales. Anybody remember

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Speaker 1: that name. He's the dude who pleaded guilty to killing

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Speaker 1: sixteen civilians. Remember him now? And he's serving life in

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Speaker 1: prison without parole. So that is like the you know,

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Speaker 1: the kind of individual case that the US military has

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Speaker 1: taken on. But this defense Ministry in Australia. They completely

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Speaker 1: terminated the second squadron of the Army's Special Air Service,

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Speaker 1: the SAS. That's right, they just shwhacked the entire squadron.

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Speaker 1: That would be like us getting rid of like Seal

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Speaker 1: Team six basically so. Prime Minister Scott Morrison of Australia

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Speaker 1: actually made a phone call to Afghanistan's government to express

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Speaker 1: his deepest sorrow over the troop's misconduct, and a spokesman

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Speaker 1: for the Afghan President, Ashraf Ghani, said that Morrison had

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Speaker 1: vowed that any soldier who committed crimes would face legal consequences.

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Speaker 1: Of course, a little history here. Australia is a military

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Speaker 1: ally of the United States, were well over a century now,

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Speaker 1: and they first joined American troops in Afghanistan shortly after

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Speaker 1: we arrived in Afghanistan in late two thousand and one.

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Speaker 1: Over the years that followed, more than twenty six thousand

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Speaker 1: Australians have served in the country, including three thousand Special

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Speaker 1: Operation Forces. Now, the last combat troops for Australia left

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Speaker 1: in late twenty thirteen, although several hundred support personnel do remain,

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Speaker 1: and the investigation in a troop's behavior was initiated in

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Speaker 1: twenty fifteen by the Special Forces commander at the time,

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Speaker 1: who commissioned what he called a cultural review, and this

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Speaker 1: came about because there were disturbing relevations, revelations of unlawful killings,

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Speaker 1: even what they called competition killing, and there was blood

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Speaker 1: blust that went on here and public awareness of potential

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Speaker 1: abuses first emerged in twenty seventeen when the Australian Broadcasting

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Speaker 1: Corporation published allegations of unlawful killings of unarmed Afghan men

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Speaker 1: and children after receiving hundreds of leaked Defense Force documents.

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Speaker 1: So some Special Forces members carried weapons or equipment that

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Speaker 1: could be planted on corpses to make them look like

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Speaker 1: legitimate targets. And the report placed the most responsibility on

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Speaker 1: a small number of mid level sergeants and their proteges

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Speaker 1: for instigating and covering up the wrongdoing, and it suggested

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Speaker 1: that their motives included a desire to outscore, if you will,

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Speaker 1: other patrols and the number of enemy combatants killed, to

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Speaker 1: clear it all the costs the battlefield of people believe

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Speaker 1: to be insurgents, and to initiate new soldiers into a

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Speaker 1: brotherhood of combat. You know, it's hard. I have a lot,

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Speaker 1: you know what, it's your preach day one, you know,

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Speaker 1: law of arm, conflict, all the stuff as a military

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Speaker 1: member and what not to do, and you know, it's

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Speaker 1: it sounds so easy to not do it, but then

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Speaker 1: you know, you go to war and you're on your

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Speaker 1: third deployment, fourth deployment, fifth deployment, sixth deployment, and you're

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Speaker 1: like killing and I can easily see how these guys

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Speaker 1: they get into it. And you start to see these

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Speaker 1: people the enemy is like they're not people, and you

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Speaker 1: do things that you normally wouldn't do or think to

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Speaker 1: do even and it's hard, and you know, this is

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Speaker 1: what this is what happens when you send men to

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Speaker 1: a war that basically goes on forever, has no clear objectives,

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Speaker 1: and you send the same dudes over there over and

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Speaker 1: over again, and they're just killing, often in brutal fashion.

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Speaker 1: You know, we don't see these pictures on you know,

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Speaker 1: the news of what these guys see. I can just

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Speaker 1: tell you it's up close and personal. So it's it's

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Speaker 1: it's a bad situation. More on the Jesse Kelly Show

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Speaker 1: you do. I see my emails. I see the things

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Speaker 1: people were going through. You heard that email I read

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Speaker 1: the other day about the guys struggling, lost his business,

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Speaker 1: guys on the Jesse Kelly Show. Just to kind of

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Speaker 1: wrap up that Australian Defense Forces story that I did

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Speaker 1: before the break, you know, occurred to me that to

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Speaker 1: talk about some of the cases that we've had over here.

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Speaker 1: I was speaking how America usually goes after like the individuals.

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Speaker 1: Of course, Trump famously pardoned a couple of members of

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Speaker 1: our armed services who had been accused or convicted of

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Speaker 1: war crimes, and that really overruled military leaders who sought

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Speaker 1: to punish them. So one was Trump ordered a full

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Speaker 1: pardon for Clint Lawrence, that's the former Army lieutenant and

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Speaker 1: he was at the time serving a nineteen year sentence

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Speaker 1: in a military prison in Fort Leavenworth. And then Trump

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Speaker 1: additionally ordered a full pardon of Major Matthew Goldstein, and

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Speaker 1: he was an Army Special Forces officer who was facing

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Speaker 1: murder charges for killing an unarmed Afghan he believed he

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Speaker 1: was a Taliban bomb maker. And then, of course, famously

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Speaker 1: he reversed the demotion of Chief Petty Officer Edward Gallagher,

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Speaker 1: the Navy seal who was acquitted of murder charges but

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Speaker 1: convicted of a lesser offense in a high profile war

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Speaker 1: crimes case. Over the summer and on the podcast, we

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Speaker 1: covered that trial pretty in depth every week. So if

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Speaker 1: you look at him, you know, it's they got a

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Speaker 1: lot of sympathy, those guys in the media, and I

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Speaker 1: can tell you from a lot of the you know,

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Speaker 1: I'm on Instagram and I check out there's a lot

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Speaker 1: of like military meme accounts, and a lot of these

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Speaker 1: guys are anonymous, and I can just tell you from

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Speaker 1: the cloak of anonymity, there was a lot of sympathy

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Speaker 1: for all these guys. So, you know, it's one thing

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Speaker 1: what the naval leadership was saying, particularly about Gallagher, and

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Speaker 1: it was far another thing about what the enlisted troops

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Speaker 1: are saying. So for one thing, as far as Lawrence,

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Speaker 1: he was a rookie Army lieutenant who had been in

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Speaker 1: command of a platoon and Afghanistan for only two days

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Speaker 1: in July twenty twelve when he ordered his troops to

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Speaker 1: fire on unarmed villagers who posed no threat, killing two men,

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Speaker 1: and he then called in false reports over the radio

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Speaker 1: by his own guys, and they actually made a new

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Speaker 1: documentary about him. But he was convicted of a second

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Speaker 1: degree murder by a court martial in twenty thirteen, and

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Speaker 1: he had been imprisoned until Trump sprung him and then

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Speaker 1: Goldstein the Special Forces. The green Beret officer was charged

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Speaker 1: in twenty eighteen with premeditated murder over a killing that

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Speaker 1: took place in twenty ten when he was a captain

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Speaker 1: eating a team in Afghanistan, so he admitted in his

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Speaker 1: was unusual. He admitted in a job interview with the

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Speaker 1: CIA the following year that during that battle when he

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Speaker 1: was that SF captain, it was during Operation Mushtarak, and

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Speaker 1: he admitted that during that battle he had killed a

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Speaker 1: suspected bomb maker who had been captured and then released,

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Speaker 1: saying he had done so to protect civilians and his

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Speaker 1: own men. Well, apparently the CIA turned those documents or

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Speaker 1: that interview over to the Army, and an initial army

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Speaker 1: investigation resulted in a reprimand but no charges. But then

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Speaker 1: Goldstein publicly admitted the killing during a twenty sixteen interview

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Speaker 1: on Fox News, and then the Army reopened the case

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Speaker 1: and then they charged him with premeditated murders. So like

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Speaker 1: bro little opset here, operational security, like stopped blacking. You know,

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Speaker 1: maybe you shouldn't have blabbed all over TV, but your business,

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Speaker 1: you know what I'm saying. And then, of course, famously,

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Speaker 1: Chief Gallagher was charged by the Navy in twenty eighteen

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Speaker 1: was shooting civilians in Iraq, killing a captive enemies fighter

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Speaker 1: with a hunting knife and threatening to kill fellow seals

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Speaker 1: if they reported him, among other crimes. And then, of course,

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Speaker 1: he was acquitted by a military jury last July of

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Speaker 1: all charges except for one minor count, which was bringing

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Speaker 1: this credit on the armed forces by posing for a

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Speaker 1: photo with the corpse of the captive he was accused

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Speaker 1: of killing. So that's kind of like what we had

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Speaker 1: in the US military as far as some of our

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Speaker 1: various war criming or again, whatever you want to call it.

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Speaker 1: So what else do I have for you? Well, let's

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Speaker 1: as long as I'm on the topic of the military.

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Speaker 1: The Navy and Marines just put out what they call

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Speaker 1: a sort of str Index report, and according to a

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Speaker 1: new scorecard from the Heritage Foundation, the Navy and Marine

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Speaker 1: Corps only marginally capable of meeting America's national security needs.

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Speaker 1: So they had, like basically twenty authors take a look

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Speaker 1: at the global operating environment and the mission of each

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Speaker 1: branch of the US military and compare them to competitors

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Speaker 1: like China and Russia, as well as regional threats like

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Speaker 1: Iran and North Korea. So they basically graded each branch

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Speaker 1: of the US military based on its ability to complete

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Speaker 1: its mission. So the Marine Corps received a rank of marginal,

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Speaker 1: which is the middle score on the table, which ranges

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Speaker 1: from very weak to very strong. And the Navy also

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Speaker 1: received a marginal score and capability in readiness, but its

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Speaker 1: capacity was marked as weak. How about that? And they're

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Speaker 1: saying that the Marine Corps is basically too small and

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Speaker 1: the biggest hurdle for the Marine Corps to overcome in

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Speaker 1: future fights is what they're saying this report claims is

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Speaker 1: its size. So they estimate that the Marine Corps would

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Speaker 1: need fifteen infantry battalions two be effective in this and

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Speaker 1: in past years they would grade the Marine Corps ability

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Speaker 1: to fight like two such, you know, two large conflicts

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Speaker 1: at the same time. So not good. And they're also

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Speaker 1: saying that the Navy doesn't have enough boats like they want.

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Speaker 1: They say the Navy needs like a hundred more ships

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Speaker 1: to even be effective in any way, shape or form.

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Speaker 1: So that's not good for the Marine Corps. All right,

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Speaker 1: So let's see, So what else other than the military

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Speaker 1: is going on? How much time to have before the

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Speaker 1: bright Okay, quickly, let's keep going here. How about this

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Speaker 1: execution of first female inmate in almost six decades is

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Speaker 1: rescheduled just days before Joe Biden's inauguration after her lawyers

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Speaker 1: were infected with COVID nineteen while on a prison visit.

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Speaker 1: This was Lisa Montgomery and she is forty nine years old.

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Speaker 1: Montgomery was convicted of killing twenty three year old Bobby

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Speaker 1: Joe Stinnant in the northwest Missouri town of Skidmore back

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Speaker 1: in two thousand and four. Oh man, it's one of

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Speaker 1: these chicks. Yeah, I've never heard of these. They kind

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Speaker 1: of keep quiet on all the gory details. But apparently

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Speaker 1: Montgomery used a rope to strangle this woman, Bobby Joe Stennant.

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Speaker 1: Stinnen was eight months pregnant at the time. And then yes,

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Speaker 1: he did cut the baby girl from the womb with

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Speaker 1: a kitchen knife, if you can imagine. And then Montgomery

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Speaker 1: took the child with her and yes, attempted to pass

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Speaker 1: the girl off as her own freaking psycho dude. And

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Speaker 1: now they're just good. They're going to delay the execution

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Speaker 1: because her lawyers got sick. Well, so what can't they?

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Speaker 1: So have the lawyers just do a zoom meeting. Isn't

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Speaker 1: that what they're doing? Anyway? They can't be that sick.

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Speaker 1: I don't believe that this was in Nashville. Let me see,

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Speaker 1: the lawyers flew from Nashville, Tennessee to visit her at

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Speaker 1: the federal prison in Texas where she is serving her sentence.

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Speaker 1: So remember, Trump basically started the federal execution train going again,

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Speaker 1: and we're supposed to smoke three more of them. They

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Speaker 1: did just execute another dude, like a week ago. I

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Speaker 1: covered it on the podcast. He another horrific crime. And

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Speaker 1: with the new execution date, Montgomery would be one of

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Speaker 1: three federal inmates scheduled to die in like the second

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Speaker 1: than like the next couple of weeks. Basically, of course,

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Speaker 1: there was a seventeen year execution hiatus of the federal government,

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Speaker 1: but since July eight people have been executed, more than

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Speaker 1: during the previous half century. And you know it's funny

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Speaker 1: because you know the Biden is saying he's gonna end it.

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Speaker 1: So we'll talk more about this when I come back

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Speaker 1: on a Jesse Kelly show. One in three adults has

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Speaker 1: pre diabetes. One in three. That means it could be you,

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Speaker 1: your football buddy, your football buddy, or you your best man,

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Speaker 1: you're worst mass you, you're a dog walker, you're a

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Speaker 1: cat Jugger, while one in three adults has pre diabetes.

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Speaker 1: With early diagnosis, pre diabetes can be reversed. Take the

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Speaker 1: risk test at do I have pre Diabetes dot org.

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Speaker 1: That's do I have pre diabetes dot org? Wait, did

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Speaker 1: they just say one in three adults has pre diabetes.

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Speaker 1: That's thirty three point three three three percent of adults.

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Speaker 1: That means it could be me my boss or my

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Speaker 1: boss's boss, or me my favorite sister or my other sister.

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Speaker 1: That's seven members of my twenty one person romantic book club. Wait,

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Speaker 1: the one in three could be me my karaoke partner Carol,

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Speaker 1: or uh, my karaoke enemy, Jeff. I'm going to take

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Speaker 1: the risk test that do I have pre diabetes dot org?

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Speaker 1: Brought to you by the AD Council, and it's pre

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Speaker 1: Diabetes Awareness Partners. All right, we're back here in the

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Speaker 1: Jesse Show BK. Here, guys, go ahead and check out

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Speaker 1: that Twitter at Broadlecubo. Actually, check out my Instagram at

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Speaker 1: BK actual. We're talking about the federal executions and how

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Speaker 1: this want the female execution has been rescheduled so as

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Speaker 1: far as Biden, his spokesman T. J. Ducklow has said

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Speaker 1: that the President elect Joe Biden opposes the death penalty

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Speaker 1: now and in the future, and would work as president

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Speaker 1: to end its use. However, Ducklow did not say whether

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Speaker 1: executions would be paused immediately once Biden takes office. So,

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Speaker 1: you know, you just read these horrific crimes that these

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Speaker 1: people commit, and I know there's probably a lot of

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Speaker 1: you good Christians who don't like any like death penalty

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Speaker 1: of the government having them right, but like you read

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Speaker 1: like the details of some of this. And before the break,

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Speaker 1: I had commented about how the Feds just performed another

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Speaker 1: federal execution and that was for in nineteen ninety four

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Speaker 1: kidnapping and murder. That was the execution of Orlando Cordia Hall.

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Speaker 1: And that was the eighth, like I said, since the

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Speaker 1: Trump administration revived capital punishment for federal crimes. So he

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Speaker 1: was executed by lethal injection. And according to Justice Department,

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Speaker 1: here's what this guy did. Hall was part of a

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Speaker 1: marijuana trafficking operation of all things, in Arkansas. In nineteen

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Speaker 1: ninety four, he and others went to the home of

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Speaker 1: a man in Arlington, Texas, who they believed had renegged

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Speaker 1: on a drug transaction. So there the group of guys

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Speaker 1: kidnapped the man's sixteen year old sister, and the members

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Speaker 1: of that group later raped her, beat her over the

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Speaker 1: head with a shovel, soaked her with gasoline, and burned

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Speaker 1: her alive. I mean, you're telling me that doesn't call

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Speaker 1: for the death penalty in execution, Like, I don't know

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Speaker 1: for me, I guess I can sort of understand from

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Speaker 1: a moral point. But the people who are like fight

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Speaker 1: day and night to get rid of capital punishment, that's

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Speaker 1: who I don't understand. Like the fanatics. I'm like, dude,

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Speaker 1: you're spending like like the activist right, Like they literally

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Speaker 1: spend their entire careers trying to protect these vermin that

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Speaker 1: walk among us, These people that like they're like not either,

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Speaker 1: they're barely human. You know, how could you imagine imagine

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Speaker 1: like taking these little kids and do raping, murder, burning

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Speaker 1: them alive. And you have a whole class of activists

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Speaker 1: who are like just they spend that's their life's work

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Speaker 1: is to protect them. Makes no sense to me whatsoever

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Speaker 1: I say get rid of them, and you know what

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Speaker 1: they say, like, well, it's not a deterrent. I'm like,

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Speaker 1: I don't care if it's in a determent or not.

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Speaker 1: Maybe it's not about being a deterrent. Maybe it's about

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Speaker 1: just justice, all right, So what else? Let's go to, uh,

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Speaker 1: let's change it up a little bit here and go

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Speaker 1: to the Coastguard of all things. And a bunch of

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Speaker 1: people have been charged in a scheme to fix Coastguard

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Speaker 1: test scores of all thanks, this is hilarious. For more

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Speaker 1: than seven years, according to prosecutors, a Coastguard employee at

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Speaker 1: a test center in Louisiana took bribes to enter falsified

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Speaker 1: test scores, which allowed two dozen people to obtain licenses

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Speaker 1: required for various positions on ships without passing the exams.

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Speaker 1: So last week that employee. It's a female named Dorothy Smith.

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Speaker 1: She is a credentialing specialist at the center in Louisiana.

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Speaker 1: Her and thirty other people were indicted in the scheme

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Speaker 1: and two let's see who else was wrapped up in

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Speaker 1: this Two former Coast Guard employees are among the six

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Speaker 1: intermediaries whom prosecutors said Smith used as part of the operation.

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Speaker 1: The other four, who were workers in the maritime industry,

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Speaker 1: had their scores fixed by ms Smith. In addition to

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Speaker 1: recruiting others and exchanged for these bribes. Smith falsely reported

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Speaker 1: the applicants had earned passing scores on exams or learning modules,

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Speaker 1: and in some cases reported that the applicants had appeared

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Speaker 1: for the tests when they had not. Didn't have to

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Speaker 1: show up. That's hilarious. So Smith in the six intermediaries

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Speaker 1: were each charged with conspiracy to defraud the United States.

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Speaker 1: The Coastguard did not immediately respond on Tuesday night to

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Speaker 1: request for comment. So as far as the twenty the

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Speaker 1: rest of the people, the other twenty four, they are

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Speaker 1: charged with receiving, possessing, and intending to unlawfully use Mariner

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Speaker 1: licenses by way of the false scores, and some applicants

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Speaker 1: had their scores fixed on multiple occasions. This is some

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Speaker 1: good money here. One applicant paid an intermediary three thousand,

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Speaker 1: five hundred bucks for fake scores and another paid ms

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Speaker 1: Smith one thousand dollars directly. I mean, it's kind of

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Speaker 1: good money, but it's really not worth going to prison

430
00:28:22,400 --> 00:28:25,639
Speaker 1: and losing your job and like going to a federal penitentiary.

431
00:28:26,119 --> 00:28:28,239
Speaker 1: Each one of the thirty one defendants could face up

432
00:28:28,240 --> 00:28:36,159
Speaker 1: to five years in prison, and the indictment follows. You

433
00:28:36,200 --> 00:28:38,080
Speaker 1: know what was kind of going on in the civilian world.

434
00:28:38,840 --> 00:28:41,200
Speaker 1: And that was after dozens of people were charged in

435
00:28:41,600 --> 00:28:45,440
Speaker 1: the widespread college admissions cheating scandal. You guys remember that,

436
00:28:45,520 --> 00:28:49,080
Speaker 1: And those charges resulted from the Justice departments of Varsity

437
00:28:49,160 --> 00:28:55,160
Speaker 1: Blues investigation and involved celebrities including the actress's Felicity husband

438
00:28:55,240 --> 00:28:59,640
Speaker 1: and Lorie Laughlin. And I always thought that was funny too,

439
00:28:59,760 --> 00:29:03,160
Speaker 1: espe actually with the Lori Laughlin one, that check, you know,

440
00:29:03,240 --> 00:29:06,240
Speaker 1: because like her daughter was like an influencer on Instagram

441
00:29:06,280 --> 00:29:08,640
Speaker 1: and like hat was making like big money. She didn't

442
00:29:08,640 --> 00:29:11,720
Speaker 1: have to go to USC. But you know, there's a

443
00:29:11,720 --> 00:29:14,680
Speaker 1: certain class of like these upper class people and they

444
00:29:14,720 --> 00:29:16,720
Speaker 1: just have to have their kids get in the right school,

445
00:29:16,760 --> 00:29:19,360
Speaker 1: even if their kid is like a dud. And a

446
00:29:19,360 --> 00:29:21,719
Speaker 1: lot of these kids probably were duds as far as

447
00:29:21,720 --> 00:29:24,560
Speaker 1: academics and everything. So then they just like lied about everything.

448
00:29:24,760 --> 00:29:27,720
Speaker 1: Cracked me up. And then but that was like real money.

449
00:29:28,240 --> 00:29:30,760
Speaker 1: I mean, dude, some of those people were like paying

450
00:29:30,800 --> 00:29:33,280
Speaker 1: like hundreds of thousands of dollars to get their dud

451
00:29:33,400 --> 00:29:37,680
Speaker 1: kid into a school. I'm like, damn, just just give that.

452
00:29:37,760 --> 00:29:40,440
Speaker 1: Why don't you just give the kid two hundred thousand

453
00:29:40,440 --> 00:29:42,640
Speaker 1: dollars and let them go start their own thing. You know,

454
00:29:42,680 --> 00:29:46,720
Speaker 1: that would probably be a far better use of your

455
00:29:46,800 --> 00:29:51,680
Speaker 1: money in my opinion. All right, so let's keep moving

456
00:29:51,760 --> 00:29:54,040
Speaker 1: on here. Oh, this was a funny story that just

457
00:29:54,120 --> 00:29:58,400
Speaker 1: came out. You guys, remember the Hunter Biden laptop? Of

458
00:29:58,400 --> 00:30:00,480
Speaker 1: course you do. It was all over a few weeks ago.

459
00:30:01,760 --> 00:30:07,280
Speaker 1: Remember the Wilmington computer repair shop. Yeah, that was when

460
00:30:07,280 --> 00:30:11,280
Speaker 1: The New York Post revealed that its owner, the computer

461
00:30:11,360 --> 00:30:15,760
Speaker 1: repair shop, gave a copy of a laptop hard drive

462
00:30:15,840 --> 00:30:19,680
Speaker 1: he believed belonged to Hunter Biden to a lawyer representing

463
00:30:19,960 --> 00:30:26,560
Speaker 1: Rudy Giuliani. Well, now that the election's over, apparently it's

464
00:30:26,600 --> 00:30:30,600
Speaker 1: closed down, and the guy's like, gone, that's right. A

465
00:30:30,760 --> 00:30:33,880
Speaker 1: sign on the repair shop's door said it had closed,

466
00:30:33,920 --> 00:30:41,400
Speaker 1: and a neighbor said the owner had left town. M Now,

467
00:30:42,440 --> 00:30:45,480
Speaker 1: we really don't even know if all those emails and

468
00:30:45,480 --> 00:30:48,960
Speaker 1: everything else was supposedly on the laptop was real. All

469
00:30:49,000 --> 00:30:51,480
Speaker 1: we have are the pictures of Hunter Biden smoking crack.

470
00:30:51,560 --> 00:30:53,960
Speaker 1: Now we're you know, that's pretty much real. And yes,

471
00:30:54,000 --> 00:30:56,760
Speaker 1: I did see the unedited pictures of Hunter Biden with

472
00:30:56,760 --> 00:31:01,480
Speaker 1: all the prostitutes and smoking crack. That was pretty funny.

473
00:31:01,760 --> 00:31:07,480
Speaker 1: But it's unclear whether the emails that were supposedly found

474
00:31:07,480 --> 00:31:09,880
Speaker 1: on this hard drive, which formed the basis of the

475
00:31:09,880 --> 00:31:13,040
Speaker 1: disputed New York Post story, are even authentic at all.

476
00:31:14,760 --> 00:31:17,760
Speaker 1: Recall that that story claimed that President elect Joe Biden,

477
00:31:17,760 --> 00:31:20,200
Speaker 1: while Vice president in twenty fifteen, held a meeting with

478
00:31:20,240 --> 00:31:23,360
Speaker 1: an executive from Barisma Holdings. You guys remember that that

479
00:31:23,440 --> 00:31:26,800
Speaker 1: was the Ukrainian energy company that employed his son Hunter Biden,

480
00:31:28,920 --> 00:31:33,960
Speaker 1: And hours after that story's publication, Biden's presidential campaign categorically

481
00:31:34,080 --> 00:31:37,240
Speaker 1: stated quote no meeting as alleged by The New York

482
00:31:37,280 --> 00:31:43,520
Speaker 1: Post ever took place. Of course, Biden famously said on

483
00:31:43,720 --> 00:31:46,960
Speaker 1: multiple occasions that he never spoke to his son Hunter

484
00:31:47,000 --> 00:31:49,800
Speaker 1: about any kind of business. Now, I really don't believe that,

485
00:31:49,880 --> 00:31:52,640
Speaker 1: But they were saying, no, no, we have smoking gun

486
00:31:52,720 --> 00:31:58,120
Speaker 1: emails that show Joe Biden's lying. Well, the computer repairman,

487
00:31:58,320 --> 00:32:02,840
Speaker 1: John Paul macki zick, he's got four names, I'm sorry, suspicious,

488
00:32:04,480 --> 00:32:09,400
Speaker 1: shuddered his store, and the neighbor said he's gone. So

489
00:32:10,520 --> 00:32:13,960
Speaker 1: the USA Today said they reached out to the guy's attorney,

490
00:32:14,080 --> 00:32:18,200
Speaker 1: the computer repairman's attorney, and the attorney saying that Isaac

491
00:32:18,200 --> 00:32:22,080
Speaker 1: closed the shop after receiving death threats. He did decline

492
00:32:22,120 --> 00:32:24,480
Speaker 1: to disclose where his client might have gone or if

493
00:32:24,480 --> 00:32:31,200
Speaker 1: he had left town at all. M and neither the

494
00:32:31,280 --> 00:32:34,360
Speaker 1: FBI nor the US Attorney's Officer Delaware would comment. So

495
00:32:34,400 --> 00:32:36,360
Speaker 1: a little bit of amusing story. We'll be back with

496
00:32:36,440 --> 00:32:51,200
Speaker 1: more after this on the Jesse Kelly Jack Wake up

497
00:32:51,200 --> 00:32:56,880
Speaker 1: and text, Text and eat, Text and catch the bus,

498
00:32:58,240 --> 00:33:03,040
Speaker 1: text and miss her stop wait, Text and be late

499
00:33:03,080 --> 00:33:08,720
Speaker 1: to work, Sorry late, Text and work, Text and pretend

500
00:33:08,800 --> 00:33:12,640
Speaker 1: to work, text and x surprised when someone calls you

501
00:33:12,680 --> 00:33:15,920
Speaker 1: out for not working. Text and meet up with a

502
00:33:15,920 --> 00:33:19,880
Speaker 1: friend you haven't seen in forever. Oh, Text and complain

503
00:33:19,960 --> 00:33:23,280
Speaker 1: that they're on their phone the whole time. Text and

504
00:33:23,320 --> 00:33:25,080
Speaker 1: listen to them, complain that you're on your phone the

505
00:33:25,080 --> 00:33:31,240
Speaker 1: whole time. Text and whatever. But when you get behind

506
00:33:31,240 --> 00:33:33,920
Speaker 1: the wheel, give your phone to a passenger, put it

507
00:33:33,920 --> 00:33:38,200
Speaker 1: in the glove box. Just don't text and drive, they said,

508
00:33:38,240 --> 00:33:42,200
Speaker 1: stop texts, Stop rex dot org. A public service announcement

509
00:33:42,200 --> 00:33:44,960
Speaker 1: brought to you by the National Highway Traffic Safety Administration

510
00:33:45,080 --> 00:34:14,319
Speaker 1: and the AD Council. All right, let's keep going here.

511
00:34:14,320 --> 00:34:16,680
Speaker 1: In the Dessei Kelly Show, guys, part of the podcasts

512
00:34:16,680 --> 00:34:18,359
Speaker 1: that I do It is b k here again. By

513
00:34:18,400 --> 00:34:21,000
Speaker 1: the way, part of what I do in the podcast

514
00:34:21,120 --> 00:34:23,640
Speaker 1: is kind of go around and see all the gross

515
00:34:23,640 --> 00:34:26,759
Speaker 1: and disgusting things that people do themselves. So I get

516
00:34:26,800 --> 00:34:29,240
Speaker 1: a lot of stories sent to me, which is always great,

517
00:34:29,320 --> 00:34:32,680
Speaker 1: and of course it takes a big army to like

518
00:34:32,760 --> 00:34:34,800
Speaker 1: kind of keep up with all the depraved things that

519
00:34:34,880 --> 00:34:38,279
Speaker 1: humanity is capable of doing. But I like to, you know,

520
00:34:38,400 --> 00:34:40,160
Speaker 1: just kind of cover it because it really just shows

521
00:34:40,160 --> 00:34:43,520
Speaker 1: you how messed up of a species we are. And

522
00:34:43,640 --> 00:34:46,040
Speaker 1: so here's a story that somebody sent me from New Zealand.

523
00:34:47,080 --> 00:34:51,640
Speaker 1: And this is one of those you know, auto erotic

524
00:34:51,680 --> 00:34:56,439
Speaker 1: asphyxiation story's gone wrong, But yeah, a man did suffocate

525
00:34:56,520 --> 00:34:59,680
Speaker 1: after being unable to free himself from what they're calling

526
00:34:59,760 --> 00:35:07,359
Speaker 1: a complex home made device while pleasuring himself. And that's

527
00:35:07,400 --> 00:35:11,760
Speaker 1: what the coroner has ruled. And the death has sparked

528
00:35:11,800 --> 00:35:15,600
Speaker 1: warnings from the corner in New Zealand for members of

529
00:35:15,640 --> 00:35:18,759
Speaker 1: the kink community to be aware of the high risk

530
00:35:18,840 --> 00:35:23,960
Speaker 1: involved in suppressing a person's breathing. So this dude, on

531
00:35:24,080 --> 00:35:28,160
Speaker 1: the night of his death, he was home alone watching television,

532
00:35:28,200 --> 00:35:32,880
Speaker 1: but by the time his partner arrived home later that evening,

533
00:35:32,920 --> 00:35:36,320
Speaker 1: he was dead. It does not say if the partner

534
00:35:36,560 --> 00:35:40,760
Speaker 1: was a same sex or not. And this man's body

535
00:35:41,000 --> 00:35:44,040
Speaker 1: was found naked and bound in what they call a

536
00:35:44,280 --> 00:35:49,160
Speaker 1: complex ligature system. Like there's like ropes and nooses and

537
00:35:49,280 --> 00:35:52,840
Speaker 1: knots and they're going every which way, and homeboy was

538
00:35:52,880 --> 00:35:55,440
Speaker 1: just sitting there and he tied himself up good and

539
00:35:55,480 --> 00:36:01,520
Speaker 1: then things went horribly awry. They did determine that the

540
00:36:01,600 --> 00:36:05,800
Speaker 1: death was not due to suicide, but an accident of course,

541
00:36:05,880 --> 00:36:11,759
Speaker 1: known as autoerotic asphyxiation. And the corner said the man

542
00:36:11,880 --> 00:36:15,520
Speaker 1: was unable to control the system that he had constructed

543
00:36:16,920 --> 00:36:21,880
Speaker 1: and could not free himself before succumbing to asphyxias. He like, okay,

544
00:36:21,960 --> 00:36:25,040
Speaker 1: I get it. You like to be choked while you're

545
00:36:25,080 --> 00:36:29,280
Speaker 1: doing your thing. Okay, it's not a surprise to me. However,

546
00:36:29,760 --> 00:36:33,520
Speaker 1: I would say, like how much you know how complex

547
00:36:33,560 --> 00:36:35,360
Speaker 1: of a rope system? And this is coming from a

548
00:36:35,400 --> 00:36:38,200
Speaker 1: pair of rescuement, you know, an old PJ. There's nothing

549
00:36:38,239 --> 00:36:42,040
Speaker 1: I love better than ropes and pulleys and hall systems

550
00:36:42,080 --> 00:36:45,359
Speaker 1: and raising and lowering systems. I like making complex as hell.

551
00:36:45,480 --> 00:36:49,439
Speaker 1: They're great. It's very technical. I love it. But all

552
00:36:49,480 --> 00:36:51,960
Speaker 1: you gotta do is you're just looking to choke yourself

553
00:36:51,960 --> 00:36:54,480
Speaker 1: out a little bit, right, I mean, how complex of

554
00:36:54,520 --> 00:36:56,759
Speaker 1: a system do you need? Don't you just seemed like

555
00:36:56,840 --> 00:36:59,480
Speaker 1: a rope and ant. I mean, I don't know, call

556
00:36:59,560 --> 00:37:02,839
Speaker 1: me old fashioned. I would imagine that all you need

557
00:37:02,920 --> 00:37:06,720
Speaker 1: is like a single noose. But you know, these crazy

558
00:37:06,800 --> 00:37:10,239
Speaker 1: kids with their erotic auto erotic asphyxiations days, like one

559
00:37:10,480 --> 00:37:17,399
Speaker 1: rope and one noose apparently is not enough. Now. Interestingly enough,

560
00:37:17,440 --> 00:37:21,600
Speaker 1: the man's partner told the coroner that this dude's solo

561
00:37:21,719 --> 00:37:26,280
Speaker 1: sexual activity was a complete shock to the partner. Apparently

562
00:37:26,400 --> 00:37:29,200
Speaker 1: the partner had no idea home he was into this,

563
00:37:31,000 --> 00:37:34,160
Speaker 1: and there was no evidence about how he learned about

564
00:37:34,200 --> 00:37:38,239
Speaker 1: such activities or how he learned how to construct this

565
00:37:38,320 --> 00:37:43,920
Speaker 1: apparently complex device that ended up taking his life. Yeah, dude,

566
00:37:44,120 --> 00:37:46,239
Speaker 1: you gotta have a spot or you guys, if you're

567
00:37:46,239 --> 00:37:49,120
Speaker 1: going to do this, I keep telling you, you know,

568
00:37:49,200 --> 00:37:52,920
Speaker 1: I think that's what Remember what's his face, David Carradine.

569
00:37:53,400 --> 00:37:56,640
Speaker 1: You know, there was some conjecture, Remember he died of

570
00:37:56,640 --> 00:38:00,800
Speaker 1: autois erotic asphyxiation, and there was some conject sure that

571
00:38:01,120 --> 00:38:04,200
Speaker 1: he did actually have a spotter. I remember doing reading

572
00:38:04,239 --> 00:38:06,919
Speaker 1: about the story at one point and there was some

573
00:38:07,120 --> 00:38:09,960
Speaker 1: speculation that David Carradine actually did have a spotter, but

574
00:38:10,000 --> 00:38:12,520
Speaker 1: then like the spotter took off. You know, I mean,

575
00:38:12,560 --> 00:38:15,320
Speaker 1: I can't say I blame them. You have like one job, dude,

576
00:38:15,680 --> 00:38:21,040
Speaker 1: to keep your protector protect ee from like choking themselves

577
00:38:21,040 --> 00:38:23,560
Speaker 1: out while they pleasured themselves. So you know, you didn't

578
00:38:23,600 --> 00:38:25,600
Speaker 1: have to take that job, but you chose to took

579
00:38:25,640 --> 00:38:27,640
Speaker 1: the job. So then you screwed it up and then

580
00:38:27,640 --> 00:38:30,680
Speaker 1: you took Take a look over there, old David Carradine's

581
00:38:30,719 --> 00:38:32,640
Speaker 1: got his tongue sticking out of the corner of his mouth,

582
00:38:33,480 --> 00:38:36,280
Speaker 1: and you're like, you know what, I'm just gonna bounce

583
00:38:36,280 --> 00:38:38,319
Speaker 1: out of this place really quick. I think would be

584
00:38:38,360 --> 00:38:42,960
Speaker 1: the best way to do it. So guys, please be careful.

585
00:38:43,480 --> 00:38:48,960
Speaker 1: Always definitely get a spotter. Okay, what else do I

586
00:38:49,000 --> 00:38:52,040
Speaker 1: have before I close this segment out? Oh and just

587
00:38:52,040 --> 00:39:00,320
Speaker 1: to continue on these weird kinks here, a NYPD hop

588
00:39:00,440 --> 00:39:05,480
Speaker 1: was busted and he was busted for allegedly pleasuring himself

589
00:39:05,520 --> 00:39:07,839
Speaker 1: in front of his friend's ten year old daughter. And

590
00:39:07,920 --> 00:39:10,759
Speaker 1: he's now also been accused of a sex attack on

591
00:39:10,880 --> 00:39:15,600
Speaker 1: another girl. And this is forty year old Sean Frasier.

592
00:39:15,640 --> 00:39:18,600
Speaker 1: He was charged earlier this month, and I remember doing

593
00:39:18,640 --> 00:39:23,760
Speaker 1: this story, but now he's being hit with some other stuff.

594
00:39:25,360 --> 00:39:30,080
Speaker 1: So the stuff he was charged with like a month ago,

595
00:39:30,320 --> 00:39:32,040
Speaker 1: that was with him a ten year old girl, right,

596
00:39:32,120 --> 00:39:34,400
Speaker 1: and that took place around twenty seventeen, but it was

597
00:39:34,440 --> 00:39:39,719
Speaker 1: uncovered during an internal affairs investigation. Well, he did resign

598
00:39:41,080 --> 00:39:45,840
Speaker 1: from his role in the NYPD. But prior to that

599
00:39:45,920 --> 00:39:50,760
Speaker 1: latest charge, Frasier was also being investigated for a god

600
00:39:51,040 --> 00:39:54,320
Speaker 1: pleasuring himself in front of another friend's daughter in September

601
00:39:54,320 --> 00:40:01,880
Speaker 1: of twenty nineteen. Come on, man, oh no, this cop

602
00:40:02,040 --> 00:40:06,480
Speaker 1: was babysitting this kid and is alleged the girl woke

603
00:40:06,560 --> 00:40:09,440
Speaker 1: up and saw Frasier licking a pair of her underwear

604
00:40:09,480 --> 00:40:14,479
Speaker 1: in the kitchen. Sick dude. Yeah, And then he started, uh,

605
00:40:14,480 --> 00:40:16,600
Speaker 1: you know, kind of going at it, and like, dude,

606
00:40:16,640 --> 00:40:18,880
Speaker 1: what are you thinking? How strong of an urge is that? Like,

607
00:40:19,040 --> 00:40:20,839
Speaker 1: you don't think you're gonna get caught, You don't think

608
00:40:20,840 --> 00:40:23,359
Speaker 1: the girl's gonna say anything. This isn't like fifty years ago.

609
00:40:23,400 --> 00:40:27,000
Speaker 1: And apparently nobody cared about child sex abuse. Looking at

610
00:40:27,040 --> 00:40:30,600
Speaker 1: your direction, Catholic church boy scouts, all the other institutions

611
00:40:31,320 --> 00:40:34,480
Speaker 1: so you're gonna get caught, So I'm glad put him

612
00:40:34,480 --> 00:40:44,560
Speaker 1: away more after this on The Jesse Kelly Show, Wake

613
00:40:44,680 --> 00:40:50,560
Speaker 1: up and text, Text and eat, Text and catch the bus,

614
00:40:51,840 --> 00:40:55,520
Speaker 1: Text and miss your stop. Wait wait wait, wait wait wait,

615
00:40:55,640 --> 00:40:59,880
Speaker 1: Text and be late to work. Sorry, Text and work,

616
00:41:01,320 --> 00:41:05,640
Speaker 1: Text and pretend to work, Text and x surprised when

617
00:41:05,640 --> 00:41:09,080
Speaker 1: someone calls you out for not working. Maybe text and

618
00:41:09,120 --> 00:41:12,080
Speaker 1: meet up with a friend you haven't seen in forever. Oh,

619
00:41:12,719 --> 00:41:14,879
Speaker 1: Text and complain that they're on their phone the whole time.

620
00:41:16,520 --> 00:41:18,359
Speaker 1: Text and listen to them, complain that you're on your

621
00:41:18,400 --> 00:41:24,360
Speaker 1: phone the whole time, Text and whatever. But when you

622
00:41:24,400 --> 00:41:26,840
Speaker 1: get behind the wheel, give your phone to a passenger,

623
00:41:27,239 --> 00:41:30,640
Speaker 1: put it in the glove box. Just don't text and drive,

624
00:41:31,480 --> 00:41:35,000
Speaker 1: they said, stop texts. Stop rex dot org a public

625
00:41:35,000 --> 00:41:37,520
Speaker 1: service announcement brought to you by the National Highway Traffic

626
00:41:37,560 --> 00:41:46,480
Speaker 1: Safety Administration and the AD Council. All right, wrapping up

627
00:41:46,480 --> 00:41:49,279
Speaker 1: this first hour the Jesse Kelly Show, And this is

628
00:41:49,360 --> 00:41:51,960
Speaker 1: again I like to end on an amusing note here.

629
00:41:52,000 --> 00:41:54,440
Speaker 1: Did you guys see that Greg Norman? You know who

630
00:41:54,440 --> 00:41:56,759
Speaker 1: the golfer Greg Norman is? Did you see why he

631
00:41:56,840 --> 00:42:02,280
Speaker 1: was trending in the last couple of days. Yeah, Greg Norman,

632
00:42:02,360 --> 00:42:05,279
Speaker 1: the golfer, the shark from Australia. Of course. He uh,

633
00:42:05,640 --> 00:42:08,279
Speaker 1: he is a fit man. He's an older gentleman and

634
00:42:08,320 --> 00:42:10,440
Speaker 1: he prides himself on being fit. Fame. He was in

635
00:42:10,480 --> 00:42:13,920
Speaker 1: the ESPN the Body issue where he kind of posed nude,

636
00:42:13,960 --> 00:42:16,480
Speaker 1: you know, and I mean he's like and you know

637
00:42:16,560 --> 00:42:19,440
Speaker 1: he's he's like an older guy and he takes a

638
00:42:19,480 --> 00:42:25,120
Speaker 1: lot of prideness physique as he should. Well. He on

639
00:42:25,200 --> 00:42:30,120
Speaker 1: Monday posted a picture of himself on Instagram and he's

640
00:42:30,200 --> 00:42:33,640
Speaker 1: walking with his board shorts and his dog and the

641
00:42:33,640 --> 00:42:36,840
Speaker 1: wind just catches his board shorts apparently just in the

642
00:42:36,920 --> 00:42:40,000
Speaker 1: right spot and you can pretty much see the outline

643
00:42:40,040 --> 00:42:43,600
Speaker 1: of everything he's got going on down there. So and

644
00:42:44,200 --> 00:42:46,560
Speaker 1: I'm like, don't tell me you didn't know what you

645
00:42:46,600 --> 00:42:51,120
Speaker 1: were doing here, Greg Norman, come on now. But judging

646
00:42:51,160 --> 00:42:55,360
Speaker 1: by the reaction and the comments, yeah, there's there was

647
00:42:55,480 --> 00:42:58,680
Speaker 1: quite a bit. Let me just put one comment or

648
00:42:58,760 --> 00:43:01,560
Speaker 1: just said, yo, care full your dog thinks you're hiding

649
00:43:01,600 --> 00:43:04,759
Speaker 1: a stick. Somebody else said damn Greg, save it for

650
00:43:04,800 --> 00:43:10,600
Speaker 1: the only fans. And you can see all the man's business.

651
00:43:10,680 --> 00:43:13,080
Speaker 1: I mean, I'm talking like veins it's not that hard

652
00:43:13,120 --> 00:43:16,680
Speaker 1: to make out, So go google Greg Norman and you

653
00:43:16,719 --> 00:43:19,200
Speaker 1: can see why it's running for yourself. It's pretty funny stuff.

654
00:43:19,239 --> 00:43:21,600
Speaker 1: So we'll be back with more next hour, you guys.

655
00:43:21,640 --> 00:43:24,879
Speaker 1: B k here sitting in for Jesse Kelly. More after this.

656
00:43:36,080 --> 00:43:51,239
Speaker 1: Jesse Kelly returns next This is a Jesse Kelly show

657
00:43:56,960 --> 00:43:59,879
Speaker 1: back here on the Jesse Kelly Show. Hope everybody's having

658
00:43:59,880 --> 00:44:03,399
Speaker 1: a great holiday week. B k here sitting in for Jesse.

659
00:44:03,600 --> 00:44:05,799
Speaker 1: He had the reins off to me for the next

660
00:44:05,840 --> 00:44:08,480
Speaker 1: couple of days while he takes a break. And yes,

661
00:44:08,560 --> 00:44:11,799
Speaker 1: I hope all of you, if you're not traveling, I

662
00:44:11,840 --> 00:44:13,600
Speaker 1: hope you at least managed to get in a good

663
00:44:13,680 --> 00:44:16,239
Speaker 1: Thanksgiving meal this week. We'll we're going to talk about Thanksgiving,

664
00:44:16,280 --> 00:44:18,360
Speaker 1: COVID and all the other stuff a little bit later.

665
00:44:18,400 --> 00:44:22,960
Speaker 1: But why don't we also now talk about Joe Biden

666
00:44:23,160 --> 00:44:28,160
Speaker 1: and his new national security team and what's he Who's

667
00:44:28,160 --> 00:44:30,320
Speaker 1: he gonna have? Well, the answer is a bunch of hacks.

668
00:44:30,400 --> 00:44:33,480
Speaker 1: So it's basically all the hacks, the recycled hacks from

669
00:44:33,520 --> 00:44:37,240
Speaker 1: the Obama administration. And as far as the media is concerned,

670
00:44:37,239 --> 00:44:40,600
Speaker 1: the media really only cares about since the media only

671
00:44:40,680 --> 00:44:44,799
Speaker 1: cares now about gender slash skin color. That is like

672
00:44:44,840 --> 00:44:48,880
Speaker 1: in every paragraph of this story because they're very excited

673
00:44:48,920 --> 00:44:51,520
Speaker 1: about that. That is the only qualification the media wants

674
00:44:51,560 --> 00:44:53,960
Speaker 1: to know about is if your genitals or skin color

675
00:44:54,120 --> 00:44:57,080
Speaker 1: are going to be unique in some way. But they're

676
00:44:57,160 --> 00:45:04,720
Speaker 1: all Washington veterans with ties to former President Barack Obama's administration.

677
00:45:05,880 --> 00:45:09,560
Speaker 1: So what do we have here, Well, the President elect's

678
00:45:09,640 --> 00:45:14,759
Speaker 1: team includes Anthony Blincoln. He is a veteran foreign policy

679
00:45:14,840 --> 00:45:18,040
Speaker 1: hand and his ties to Biden go back some twenty years,

680
00:45:18,880 --> 00:45:22,480
Speaker 1: and he has been nominated for Secretary of State to

681
00:45:22,800 --> 00:45:26,720
Speaker 1: lead the Department of Homeland Security. He's looking at lawyer

682
00:45:26,760 --> 00:45:33,680
Speaker 1: Alejandro Majorcas and veteran diplomat Linda Thomas Greenfield is going

683
00:45:33,719 --> 00:45:36,800
Speaker 1: to be nominated to be US Ambassador to the United Nations,

684
00:45:38,120 --> 00:45:42,480
Speaker 1: and Obama White House alumnus Jake Sullivan is going to

685
00:45:42,520 --> 00:45:48,200
Speaker 1: be nominated as National Security Advisor. As far as the CIA,

686
00:45:48,360 --> 00:45:50,440
Speaker 1: well it's not for the CIA. This is a former

687
00:45:50,480 --> 00:45:54,640
Speaker 1: deputy director of the CIA, a woman named Avril Haynes,

688
00:45:54,960 --> 00:45:59,319
Speaker 1: was picked to serve as Director of National Intelligence. And dude,

689
00:45:59,320 --> 00:46:03,920
Speaker 1: I can't believe they're bringing his hackback. That's right, former

690
00:46:04,040 --> 00:46:09,319
Speaker 1: Secretary of State John Kerry is coming back. He will

691
00:46:09,360 --> 00:46:13,200
Speaker 1: make a curtain call as a special envoy on climate change.

692
00:46:14,120 --> 00:46:17,000
Speaker 1: Why can't they picks? Like, how can they should pick

693
00:46:17,080 --> 00:46:19,560
Speaker 1: like somebody who's never flown on a private jet for

694
00:46:19,600 --> 00:46:22,400
Speaker 1: climate change. I'm tired of hearing about John Carey. Remember

695
00:46:22,440 --> 00:46:24,440
Speaker 1: his yacht and all that stuff, and he was like

696
00:46:24,760 --> 00:46:27,640
Speaker 1: trying to like hide his yacht from the tax authorities

697
00:46:27,640 --> 00:46:31,799
Speaker 1: at one point. These people are just so phony. Plus

698
00:46:31,880 --> 00:46:34,000
Speaker 1: I have a personal beef with John Carey because while

699
00:46:34,000 --> 00:46:36,319
Speaker 1: he was Secretary of State, I was working for the

700
00:46:36,400 --> 00:46:39,960
Speaker 1: US State Department over in Baghdad and I was around

701
00:46:40,040 --> 00:46:42,160
Speaker 1: him several times. Let me just say, the size of

702
00:46:42,160 --> 00:46:44,560
Speaker 1: that guy's head is like nothing I've ever seen, Like

703
00:46:44,600 --> 00:46:46,319
Speaker 1: you could pick him out from a crowd. You just

704
00:46:46,360 --> 00:46:48,320
Speaker 1: look at it. You see all these normal heads and

705
00:46:48,360 --> 00:46:51,319
Speaker 1: then you see this like giant head, and you're like,

706
00:46:51,440 --> 00:46:54,960
Speaker 1: my god, that's a head that is not really found

707
00:46:54,960 --> 00:46:57,239
Speaker 1: in nature. And it is John Carey and he's such

708
00:46:57,280 --> 00:47:02,279
Speaker 1: a boring fool. But yeah, somebody took a look at

709
00:47:02,280 --> 00:47:04,640
Speaker 1: that and said that's the guy we need for climate change,

710
00:47:04,680 --> 00:47:08,200
Speaker 1: the guy who travels in a very fancy private jets

711
00:47:08,200 --> 00:47:11,680
Speaker 1: and has enormous houses all over the place and uses

712
00:47:12,320 --> 00:47:15,319
Speaker 1: lots and lots of carbons, spewing carbon all over the

713
00:47:15,360 --> 00:47:17,600
Speaker 1: place wherever he goes. Yeah, that's the guy we want,

714
00:47:17,880 --> 00:47:19,919
Speaker 1: so he can lecture all of you living in your

715
00:47:19,920 --> 00:47:25,880
Speaker 1: one bedroom apartment about climate change. Give me a break, Now,

716
00:47:27,280 --> 00:47:30,720
Speaker 1: what else do we have in here? Senator Marco Rubio

717
00:47:30,840 --> 00:47:35,640
Speaker 1: weighed in. It's pretty funny, he put out on Twitter.

718
00:47:35,880 --> 00:47:40,280
Speaker 1: Did Rubio quote, Biden's cabinet picks went to Ivy League schools,

719
00:47:40,280 --> 00:47:43,640
Speaker 1: have strong resumes, attend all the right conferences, and will

720
00:47:43,680 --> 00:47:48,080
Speaker 1: be polite and orderly caretakers of America's decline end quote.

721
00:47:48,120 --> 00:47:54,480
Speaker 1: That's funny, that's right. So that will that will be

722
00:47:54,719 --> 00:47:58,200
Speaker 1: something to look forward to and it will be interesting

723
00:47:58,200 --> 00:48:00,720
Speaker 1: to see. Now as far as the election, and guys,

724
00:48:00,760 --> 00:48:04,279
Speaker 1: you know what, listen, here's the deal. I was trying

725
00:48:04,280 --> 00:48:07,600
Speaker 1: to be brutally honest with you right after the election

726
00:48:07,760 --> 00:48:12,200
Speaker 1: because I knew the conspiracy theories were coming. And like

727
00:48:12,600 --> 00:48:15,359
Speaker 1: the day or two after the election, I was like, dude,

728
00:48:15,440 --> 00:48:17,480
Speaker 1: it's over and a lot of you guys, I got

729
00:48:17,480 --> 00:48:20,520
Speaker 1: all your messages. By the way, if you ever message me,

730
00:48:20,600 --> 00:48:22,640
Speaker 1: I always try to get back to people who messaging.

731
00:48:22,680 --> 00:48:25,560
Speaker 1: I'm good like that, but I got all the messages

732
00:48:25,640 --> 00:48:29,480
Speaker 1: going b K. You don't even know. They just they

733
00:48:29,680 --> 00:48:32,759
Speaker 1: raided a server farm in Germany and they founded the

734
00:48:32,840 --> 00:48:35,880
Speaker 1: secret count, which shows Trump won overwhelmingly. And I'm just

735
00:48:35,920 --> 00:48:39,480
Speaker 1: like God, I couldn't take it anymore. All I could,

736
00:48:39,719 --> 00:48:43,080
Speaker 1: and I was keeping an open mind, you guys. The

737
00:48:43,120 --> 00:48:45,400
Speaker 1: fact is, and I've said this phrase a number of

738
00:48:45,400 --> 00:48:50,239
Speaker 1: times on the podcast, I don't tell people what I

739
00:48:50,320 --> 00:48:55,040
Speaker 1: wish the situation was. I tell people what the situation is. Okay,

740
00:48:55,080 --> 00:48:57,360
Speaker 1: that's it. I don't give you guys fake news. I

741
00:48:57,360 --> 00:49:00,359
Speaker 1: don't blow smoke up your butts. I don't do it.

742
00:49:00,560 --> 00:49:03,439
Speaker 1: And some of you guys really needed like a reality check,

743
00:49:06,080 --> 00:49:08,560
Speaker 1: and I get it. You saw the crowds, right, You

744
00:49:08,640 --> 00:49:13,080
Speaker 1: saw the ninety five mile long Trump vehicle convoys, You

745
00:49:13,120 --> 00:49:15,960
Speaker 1: saw the tens of thousands of people waiting for two

746
00:49:16,080 --> 00:49:18,800
Speaker 1: three days to go to a rally, and you saw

747
00:49:18,920 --> 00:49:21,160
Speaker 1: that and you're like, dude, there's no way he can lose.

748
00:49:21,800 --> 00:49:23,960
Speaker 1: And I sympathize with that because it was hard to

749
00:49:23,960 --> 00:49:26,439
Speaker 1: believe those optics. You know, nobody was going to any

750
00:49:26,520 --> 00:49:31,440
Speaker 1: Joe Biden rallies, that's for sure. But Trump hatred was

751
00:49:31,520 --> 00:49:34,000
Speaker 1: a powerful motivator, and I knew it would be a

752
00:49:34,000 --> 00:49:39,080
Speaker 1: powerful motivator. And I started seeing all the conspiracy theories

753
00:49:39,120 --> 00:49:41,000
Speaker 1: and I was just like, but I saw no evidence.

754
00:49:41,040 --> 00:49:42,919
Speaker 1: That's the thing. I'm like, okay, And I was keeping

755
00:49:42,920 --> 00:49:44,799
Speaker 1: an open mind. I was like, show me proof, show

756
00:49:44,840 --> 00:49:47,719
Speaker 1: me proof. And the problem was a lot of what

757
00:49:47,760 --> 00:49:50,440
Speaker 1: they were saying at these press conferences, these lawyers were

758
00:49:50,520 --> 00:49:52,480
Speaker 1: not what was going on in court. As a matter

759
00:49:52,520 --> 00:49:56,280
Speaker 1: of fact, if you read the court filings repeatedly, Trump's

760
00:49:56,360 --> 00:49:58,439
Speaker 1: lawyers would go in front of these judges and say,

761
00:49:59,120 --> 00:50:01,640
Speaker 1: we are not alleging fraud, your honor, then they weren't.

762
00:50:02,280 --> 00:50:04,680
Speaker 1: But up at the press conference they're throwing out like

763
00:50:04,760 --> 00:50:08,759
Speaker 1: all kinds of you know, crazy theories Like I don't

764
00:50:08,760 --> 00:50:12,120
Speaker 1: know what rude Rudy Giuliani was thinking. And listen, does

765
00:50:12,200 --> 00:50:15,560
Speaker 1: it makes sense, doesn't it if you really believe there

766
00:50:15,640 --> 00:50:19,840
Speaker 1: was like massive fraud, and they alleged an international conspiracy.

767
00:50:20,840 --> 00:50:22,920
Speaker 1: They were they were talking about Cuba of Venezuela, so

768
00:50:22,960 --> 00:50:28,880
Speaker 1: we're talking international. They were alleging an international vote rigging conspiracy. Now,

769
00:50:28,920 --> 00:50:32,960
Speaker 1: if you really thought that you're gonna hire Rudy Giuliani

770
00:50:33,080 --> 00:50:35,879
Speaker 1: with his flop, sweat and mascara running down his face,

771
00:50:36,000 --> 00:50:38,520
Speaker 1: representing you. The guy hasn't been inside a courtroom in

772
00:50:38,520 --> 00:50:43,000
Speaker 1: like twenty five years. Why would you do that? Not me?

773
00:50:43,200 --> 00:50:45,840
Speaker 1: I'm gonna hire the young hot shot with energy. You

774
00:50:45,880 --> 00:50:48,480
Speaker 1: know who goes after it and who's been in court.

775
00:50:48,560 --> 00:50:53,560
Speaker 1: I don't know. Sometime this century would be nice, but

776
00:50:54,560 --> 00:50:57,600
Speaker 1: it's tough. Love you guys, believe me, and I didn't.

777
00:50:57,600 --> 00:50:58,800
Speaker 1: I didn't want it to go that way either. I

778
00:50:58,800 --> 00:51:00,879
Speaker 1: didn't vote for I'd vote for Trump. I didn't vote

779
00:51:00,880 --> 00:51:04,239
Speaker 1: for Biden. But he won easily and it wasn't really

780
00:51:04,280 --> 00:51:10,480
Speaker 1: that close. He flipped five states that Trump won. Now,

781
00:51:10,520 --> 00:51:13,279
Speaker 1: Trump had some good things happened for him, and it

782
00:51:13,320 --> 00:51:17,000
Speaker 1: showed a unique He's a very unique candidate because you

783
00:51:17,080 --> 00:51:20,800
Speaker 1: saw he added hundreds of thousands of votes in Florida,

784
00:51:21,200 --> 00:51:26,240
Speaker 1: predominantly from Miami Dade County, and there was a huge

785
00:51:26,239 --> 00:51:31,080
Speaker 1: shift towards Trump along the border in Texas, you know,

786
00:51:31,200 --> 00:51:34,200
Speaker 1: and which which is something I've screamed for years that

787
00:51:34,640 --> 00:51:39,520
Speaker 1: you know, Latinos don't want basically wide open borders or unlimited,

788
00:51:39,600 --> 00:51:42,600
Speaker 1: unfettered illegal immigration any more than anybody else does. So

789
00:51:43,160 --> 00:51:46,239
Speaker 1: you know that message resonated with him and a Trump like.

790
00:51:46,400 --> 00:51:49,959
Speaker 1: They made a huge shift towards Trump, So it wasn't

791
00:51:49,960 --> 00:51:52,560
Speaker 1: all bad, but the fact was he did get beat

792
00:51:52,640 --> 00:51:59,000
Speaker 1: pretty easily. So now the campaign for Trump is disavowing

793
00:51:59,120 --> 00:52:02,040
Speaker 1: Sydney Powell. She's one of those lawyers. And this was

794
00:52:02,080 --> 00:52:05,880
Speaker 1: after she made wild accusations of Republican governors being involved

795
00:52:05,880 --> 00:52:11,200
Speaker 1: in a payoff scheme to manipulate voting machines. And this

796
00:52:11,239 --> 00:52:14,800
Speaker 1: came a day after a Pennsylvania judge really tore apart

797
00:52:14,960 --> 00:52:17,640
Speaker 1: this argument that other members of Trump's legal team had

798
00:52:17,640 --> 00:52:19,760
Speaker 1: made in court that millions of votes in the states

799
00:52:19,760 --> 00:52:26,359
Speaker 1: should be invalidated, potentially disenfranchising huge numbers of voters. So

800
00:52:27,760 --> 00:52:31,080
Speaker 1: they put out a statement from Rudy Giuliani and Jenna

801
00:52:31,120 --> 00:52:35,240
Speaker 1: Ellis those that's his other attorney, and they said, quote,

802
00:52:35,280 --> 00:52:38,080
Speaker 1: Sidney Powell is practicing law on her own. She is

803
00:52:38,120 --> 00:52:40,360
Speaker 1: not a member of the Trump legal team. She is

804
00:52:40,400 --> 00:52:43,560
Speaker 1: also not a lawyer for the president in his personal capacity.

805
00:52:43,800 --> 00:52:49,960
Speaker 1: End quote. So she Sidney Powell laid out an elaborate

806
00:52:50,000 --> 00:52:54,760
Speaker 1: conspiracy theory about efforts by the former Venezuelan president Hugo Chavez,

807
00:52:54,800 --> 00:52:58,680
Speaker 1: who's been dead since twenty thirteen to essentially rig elections

808
00:52:58,719 --> 00:53:04,320
Speaker 1: in the United States by using voting machines made by dominion.

809
00:53:05,400 --> 00:53:10,000
Speaker 1: And further, she said or implied heavily that Governor Brian

810
00:53:10,080 --> 00:53:13,879
Speaker 1: Kemp of Georgia and Secretary of State Brad Raffinsburger from

811
00:53:13,880 --> 00:53:18,759
Speaker 1: the also from Georgia, we're taking payoffs as part of

812
00:53:18,800 --> 00:53:21,000
Speaker 1: the scheme, and they were. You know, this is wild.

813
00:53:21,200 --> 00:53:24,120
Speaker 1: Even Chris Christie, the Republican former governor. He said that

814
00:53:24,120 --> 00:53:26,920
Speaker 1: the legal team had become a national embarrassment, and so

815
00:53:27,080 --> 00:53:29,360
Speaker 1: she's out. So we'll have more on us after we

816
00:53:29,440 --> 00:53:31,879
Speaker 1: get back from this break on a Jesse Kelly show,

817
00:53:40,800 --> 00:53:46,479
Speaker 1: wake up and text, Text and eat, Text and catch

818
00:53:46,560 --> 00:53:51,480
Speaker 1: the bus, Text and miss your stop. Wait wait wait

819
00:53:51,480 --> 00:53:55,920
Speaker 1: wait wait, Text and be late to work. Sorry, Text

820
00:53:55,960 --> 00:54:01,400
Speaker 1: and work, Text and pretend to work, Text and X

821
00:54:01,440 --> 00:54:05,200
Speaker 1: surprised when someone calls you out for not working. Maybe

822
00:54:05,239 --> 00:54:06,959
Speaker 1: text and meet up with a friend you haven't seen

823
00:54:07,000 --> 00:54:10,600
Speaker 1: in forever. Oh, Text and complain that they're on their

824
00:54:10,600 --> 00:54:14,240
Speaker 1: phone the whole time. Text and listen to them, complain

825
00:54:14,280 --> 00:54:19,400
Speaker 1: that you're on your phone the whole time. Text and whatever.

826
00:54:20,280 --> 00:54:22,600
Speaker 1: But when you get behind the wheel, give your phone

827
00:54:22,600 --> 00:54:25,719
Speaker 1: to a passenger. Put it in the glove box. Just

828
00:54:25,840 --> 00:54:29,879
Speaker 1: don't text and drive. They sit Stop texts stop rex

829
00:54:30,000 --> 00:54:32,799
Speaker 1: dot org. A public service announcement brought to you by

830
00:54:32,800 --> 00:54:36,200
Speaker 1: the National Highway Traffic Safety Administration and the AD Council.

831
00:54:52,239 --> 00:54:54,399
Speaker 1: All right, let's keep going here on the Jesse Kelly Show.

832
00:54:54,400 --> 00:54:56,479
Speaker 1: B K here with you guys. Before the break, we're

833
00:54:56,480 --> 00:55:00,720
Speaker 1: talking about this lawyer Sydney Powell for the A speaking

834
00:55:00,840 --> 00:55:03,440
Speaker 1: but apparently not for the Trump campaign. Indeed, they kind

835
00:55:03,440 --> 00:55:06,920
Speaker 1: of disavowed her and I when we the break came up.

836
00:55:06,920 --> 00:55:09,879
Speaker 1: I had kind of talked about some of the conspiracy

837
00:55:09,920 --> 00:55:13,719
Speaker 1: theories and a big one that, trust me, a lot

838
00:55:13,760 --> 00:55:19,839
Speaker 1: of you guys sent me was about the dominion voting machines. Now,

839
00:55:19,920 --> 00:55:22,479
Speaker 1: before I even getting this full story of how I feel.

840
00:55:22,760 --> 00:55:25,239
Speaker 1: To me, there should not be a machine involved in

841
00:55:25,280 --> 00:55:27,680
Speaker 1: any way, shape or form and voting. Like in California

842
00:55:27,719 --> 00:55:30,560
Speaker 1: where I live. I live here in San Diego. We

843
00:55:30,880 --> 00:55:34,720
Speaker 1: have paper ballots and there's a scan there's a UPC

844
00:55:34,880 --> 00:55:37,600
Speaker 1: code on them. They're scannable, but it's a paper ballot,

845
00:55:37,760 --> 00:55:40,560
Speaker 1: and you know it can't really be hacked and there's

846
00:55:40,600 --> 00:55:43,319
Speaker 1: just no way to do it. So that would be

847
00:55:43,360 --> 00:55:46,919
Speaker 1: my prep and the other thing. Trust me, I get

848
00:55:47,040 --> 00:55:50,040
Speaker 1: where the conspiracy theories come in, because the whole system

849
00:55:50,120 --> 00:55:54,120
Speaker 1: is absurd. I mean, right, we're still counting votes in

850
00:55:54,239 --> 00:55:57,239
Speaker 1: California and New York. There's still counting votes. Votes are

851
00:55:57,239 --> 00:56:02,120
Speaker 1: still coming in California. I can't remember exactly, but they can.

852
00:56:03,440 --> 00:56:06,359
Speaker 1: They can count votes that are received like, you know,

853
00:56:06,480 --> 00:56:08,799
Speaker 1: two weeks or something after the election, as long as

854
00:56:08,800 --> 00:56:11,359
Speaker 1: they're postmarked by the election or even that. Who even knows.

855
00:56:11,880 --> 00:56:14,839
Speaker 1: But like, the entire system is stupid. And look, that's

856
00:56:14,840 --> 00:56:17,279
Speaker 1: why I sympathize with people who are like something's wrong here,

857
00:56:17,320 --> 00:56:19,759
Speaker 1: because you go to bed Trump is like in the lead,

858
00:56:19,840 --> 00:56:21,920
Speaker 1: and then you wake up and he's losing badly. Right,

859
00:56:22,440 --> 00:56:25,040
Speaker 1: It's like almost like the system is intended to sew

860
00:56:25,320 --> 00:56:29,600
Speaker 1: distrust and it's ridiculous. I mean, Florida is what the

861
00:56:29,600 --> 00:56:33,200
Speaker 1: third biggest population state in the country, and they had

862
00:56:33,320 --> 00:56:36,759
Speaker 1: all their votes counted and wrapped up the night of

863
00:56:36,800 --> 00:56:41,640
Speaker 1: the election. So why can't we do that everywhere else? Obviously, yes,

864
00:56:41,719 --> 00:56:44,320
Speaker 1: I know, it's up to state. The problem is states

865
00:56:44,320 --> 00:56:46,640
Speaker 1: are allowed to run their own elections how they want,

866
00:56:47,120 --> 00:56:51,440
Speaker 1: see of all these wacky rules, this hodgepodge of stuff,

867
00:56:51,440 --> 00:56:53,839
Speaker 1: particularly in places like Pennsylvania, where you know, you get

868
00:56:53,920 --> 00:56:56,880
Speaker 1: judges involved and the judge is saying like, wow, now

869
00:56:56,920 --> 00:56:59,719
Speaker 1: the postmark it doesn't have to even be on there,

870
00:56:59,719 --> 00:57:02,680
Speaker 1: and bunch of nonsense, and it does create a system

871
00:57:02,680 --> 00:57:05,880
Speaker 1: of mistrust if it was me. So if I was like,

872
00:57:06,080 --> 00:57:08,399
Speaker 1: you know, Lord of the United States for a week

873
00:57:08,719 --> 00:57:11,640
Speaker 1: and I could change all this, what I would have.

874
00:57:11,880 --> 00:57:16,520
Speaker 1: First of all, I greatly curtail early voting. I would

875
00:57:16,560 --> 00:57:20,520
Speaker 1: definitely get rid of almost all mail in ballots for sure.

876
00:57:20,680 --> 00:57:23,440
Speaker 1: No more of this just sending out ballots randomly at all.

877
00:57:23,480 --> 00:57:26,720
Speaker 1: You'd have to like request one for sure, like military obviously, yes,

878
00:57:26,760 --> 00:57:29,520
Speaker 1: you can still vote by mail. Elderly people who can't

879
00:57:29,560 --> 00:57:32,160
Speaker 1: go somewhere for physical reasons, fine, you can vote by mail.

880
00:57:32,960 --> 00:57:36,040
Speaker 1: I'd even be down with the national holiday to make

881
00:57:36,040 --> 00:57:38,760
Speaker 1: sure everybody hasn't happened. You don't have an excuse so

882
00:57:38,920 --> 00:57:41,640
Speaker 1: I can't get to the polls. So I would do that,

883
00:57:41,680 --> 00:57:44,360
Speaker 1: And then further, I would also have it where you'd

884
00:57:44,360 --> 00:57:47,000
Speaker 1: show your ID like you have to do for virtually

885
00:57:47,080 --> 00:57:50,400
Speaker 1: every fricking thing in America at the polls as well.

886
00:57:50,400 --> 00:57:54,440
Speaker 1: I would also institute that, and then all the votes

887
00:57:54,640 --> 00:57:58,000
Speaker 1: have to be counted that night and at the end

888
00:57:58,000 --> 00:58:01,400
Speaker 1: of the night, you're done. Now. I do know that

889
00:58:01,800 --> 00:58:07,520
Speaker 1: in some states Republicans made it so they weren't allowed

890
00:58:07,600 --> 00:58:11,440
Speaker 1: to start counting the mail in ballots until election day,

891
00:58:11,440 --> 00:58:13,880
Speaker 1: which is also dumb. And think about it, like, if

892
00:58:13,920 --> 00:58:17,000
Speaker 1: you were running, if you're a candidate, wouldn't you want

893
00:58:17,040 --> 00:58:20,280
Speaker 1: to know what all the votes were, like how much

894
00:58:20,320 --> 00:58:23,760
Speaker 1: like how it was going as they were all those

895
00:58:23,760 --> 00:58:26,720
Speaker 1: early votes coming in. I would. I mean, I'd want

896
00:58:26,760 --> 00:58:28,480
Speaker 1: to know because I would be like, oh, shoot, I'm

897
00:58:28,480 --> 00:58:31,360
Speaker 1: losing by ten points in Wisconsin. I better get out there,

898
00:58:31,920 --> 00:58:33,800
Speaker 1: you know, in the early voting. I better get out

899
00:58:33,840 --> 00:58:36,800
Speaker 1: there and you know, get to work. But they made

900
00:58:36,800 --> 00:58:38,880
Speaker 1: it in some of these states so they couldn't start

901
00:58:38,920 --> 00:58:42,560
Speaker 1: even counting any of these ballots until the actual election day,

902
00:58:42,600 --> 00:58:45,200
Speaker 1: which was dumb. I thought, like, dude, you know you have,

903
00:58:45,320 --> 00:58:48,120
Speaker 1: like you're talking like millions of mail in ballots. Yeah,

904
00:58:48,160 --> 00:58:50,600
Speaker 1: you should probably be freaking counting those. I mean, just

905
00:58:50,760 --> 00:58:55,920
Speaker 1: my opinion. What do I know though? So all that

906
00:58:56,040 --> 00:58:59,200
Speaker 1: is to say that I get, you know, and a

907
00:58:59,320 --> 00:59:03,600
Speaker 1: sympathize with people who think something was their chicanery right.

908
00:59:04,360 --> 00:59:07,000
Speaker 1: There was there was there was something not right there

909
00:59:07,040 --> 00:59:11,480
Speaker 1: was something afoot, something foul of the election. I get it,

910
00:59:12,760 --> 00:59:16,000
Speaker 1: But a lot of this stuff just simply did not

911
00:59:16,160 --> 00:59:18,919
Speaker 1: hold up to any scrutiny at all. So let's talk

912
00:59:18,960 --> 00:59:21,400
Speaker 1: about the dominion voting system. That was the big one

913
00:59:21,520 --> 00:59:26,520
Speaker 1: right now. Dominion voting systems make software that local governments

914
00:59:26,560 --> 00:59:29,680
Speaker 1: around a nation used to help run their elections. And

915
00:59:29,800 --> 00:59:33,600
Speaker 1: there was a conspiracy going around that dominion software glitches

916
00:59:34,520 --> 00:59:39,960
Speaker 1: actually changed vote tallies in Michigan and Georgia. Well, the

917
00:59:40,040 --> 00:59:43,040
Speaker 1: dominion software was used in only two of the five

918
00:59:43,120 --> 00:59:46,760
Speaker 1: counties that even had problems in Michigan and Georgia, and

919
00:59:46,960 --> 00:59:50,160
Speaker 1: in every instance there was a detailed explanation for what

920
00:59:50,240 --> 00:59:53,040
Speaker 1: had happened, and in all of the cases the software

921
00:59:53,160 --> 00:59:57,520
Speaker 1: did not affect the vote counts. In the two Michigan

922
00:59:57,560 --> 01:00:01,120
Speaker 1: counties that had mistakes, the inaccuracies were because of human errors,

923
01:00:01,360 --> 01:00:03,720
Speaker 1: not software problems. I remember, I think one of them,

924
01:00:03,720 --> 01:00:05,560
Speaker 1: they added a zero onto the end of it and

925
01:00:05,560 --> 01:00:07,440
Speaker 1: it was caught by human They have like checks and

926
01:00:07,440 --> 01:00:13,440
Speaker 1: balances for just that reason. And only one of the

927
01:00:13,480 --> 01:00:21,240
Speaker 1: two Michigan counties that had mistakes used dominion software. Let

928
01:00:21,280 --> 01:00:24,840
Speaker 1: me see in issues in three Georgia counties had other explanations.

929
01:00:24,840 --> 01:00:28,120
Speaker 1: In one county, and apparent problem with Dominion software delayed

930
01:00:28,160 --> 01:00:30,720
Speaker 1: officials reporting of the vote talities, but did not affect

931
01:00:30,720 --> 01:00:33,880
Speaker 1: the actual vote count. In two other counties, a separate

932
01:00:33,880 --> 01:00:38,760
Speaker 1: company software slowed poll workers ability to check in voters.

933
01:00:41,600 --> 01:00:47,360
Speaker 1: So many people said the Dominion software it was used

934
01:00:47,360 --> 01:00:51,000
Speaker 1: to switch votes, and some of the conspiracy theorists also

935
01:00:51,160 --> 01:00:54,120
Speaker 1: suggested that the company was doing the bidding of the Clintons,

936
01:00:54,320 --> 01:00:56,640
Speaker 1: and that was a conspiracy theory that was shared on

937
01:00:56,680 --> 01:01:01,360
Speaker 1: Twitter by Trump himself. And then on Wednesday, Rudy Giuliani,

938
01:01:01,400 --> 01:01:03,480
Speaker 1: who was bashing in the last segment, said he was

939
01:01:03,520 --> 01:01:06,880
Speaker 1: in contact with whistleblowers from Dominion, though he did not

940
01:01:06,920 --> 01:01:11,200
Speaker 1: provide evidence. And then a couple of weeks ago, Trump

941
01:01:11,240 --> 01:01:14,600
Speaker 1: shared on Twitter new allegations that Dominion had deleted and

942
01:01:14,720 --> 01:01:20,320
Speaker 1: switched hundreds of thousands of votes for him. Uh yeah,

943
01:01:20,360 --> 01:01:22,720
Speaker 1: so this is just yeah, I know, you guys don't

944
01:01:22,720 --> 01:01:25,040
Speaker 1: want to hear this. You don't want to hear this.

945
01:01:25,160 --> 01:01:29,120
Speaker 1: Oh that one problem in Michigan. Yeah, here we go.

946
01:01:29,840 --> 01:01:34,760
Speaker 1: Unofficial results initially showed President elect Biden beating Trump by

947
01:01:34,840 --> 01:01:38,479
Speaker 1: roughly three thousand votes, but that didn't seem right, because

948
01:01:38,520 --> 01:01:41,320
Speaker 1: that's like a kind of Republican stronghold. That was an

949
01:01:41,360 --> 01:01:46,960
Speaker 1: Antrim County, Michigan. So election workers checked again. It turned

950
01:01:46,960 --> 01:01:49,840
Speaker 1: out that they had configured the dominion ballot scanners and

951
01:01:49,920 --> 01:01:53,640
Speaker 1: reporting software with slightly different versions of the ballot, which

952
01:01:53,680 --> 01:01:57,320
Speaker 1: meant that the votes were counted correctly, but they were

953
01:01:57,360 --> 01:02:03,400
Speaker 1: reported incorrectly. So the correct tallies showed Trump beat Biden

954
01:02:03,560 --> 01:02:06,560
Speaker 1: by roughly two thousand, five hund votes in the county.

955
01:02:06,920 --> 01:02:12,400
Speaker 1: So again, human players and fact checkers kind of took

956
01:02:12,440 --> 01:02:18,280
Speaker 1: care business on that. And then again, and especially with Georgia,

957
01:02:18,400 --> 01:02:21,720
Speaker 1: like you'd have to believe that the governor, the Secretary

958
01:02:21,720 --> 01:02:24,640
Speaker 1: of State, and everybody basically in charge of the they're

959
01:02:24,640 --> 01:02:28,520
Speaker 1: all Republicans, so you're gonna believe that what that they

960
01:02:28,560 --> 01:02:33,439
Speaker 1: got paid off. It's just dumb. And to me, it's

961
01:02:33,480 --> 01:02:35,800
Speaker 1: like really missing the forests of the trees. Like everybody's

962
01:02:35,840 --> 01:02:39,560
Speaker 1: wasting their time with conspiracy theories and like voter fraud nonsense,

963
01:02:39,600 --> 01:02:42,520
Speaker 1: which I'm sure there's always a little bit of voter fraud,

964
01:02:42,600 --> 01:02:45,400
Speaker 1: but it wasn't nearly enough to swim the election at all.

965
01:02:46,560 --> 01:02:49,360
Speaker 1: And it's irritating to me because instead of like focusing

966
01:02:49,360 --> 01:02:51,360
Speaker 1: on the task at hand, which is to you know,

967
01:02:51,560 --> 01:02:56,360
Speaker 1: stop Joe Biden from surrounding himself with these radical leftists

968
01:02:56,360 --> 01:02:59,520
Speaker 1: and instituting policies that you don't want. You're, you know,

969
01:03:00,080 --> 01:03:04,280
Speaker 1: spending your days going down these conspiracy theory rabbit holes

970
01:03:04,320 --> 01:03:07,120
Speaker 1: that are going nowhere, and that's all it is. And

971
01:03:07,160 --> 01:03:09,400
Speaker 1: they go nowhere, and it's so much time. Are like

972
01:03:09,480 --> 01:03:12,040
Speaker 1: weeks later, I'm still reading, like, you know, if you

973
01:03:12,080 --> 01:03:14,640
Speaker 1: guys ever check out the Donald dot win that's the

974
01:03:14,680 --> 01:03:17,280
Speaker 1: big Trump website, there's still guys on there, and they're

975
01:03:17,320 --> 01:03:20,560
Speaker 1: just frantically like saying, Oh, it's all gonna come out,

976
01:03:20,600 --> 01:03:23,840
Speaker 1: It's all gonna come out. I'm like, man, I wish

977
01:03:23,840 --> 01:03:25,760
Speaker 1: you had this energy to, like, you know, maybe go

978
01:03:25,920 --> 01:03:28,320
Speaker 1: organize and get people out in the street to get

979
01:03:28,360 --> 01:03:30,479
Speaker 1: people to the polls. Maybe if you would have spend

980
01:03:30,480 --> 01:03:33,400
Speaker 1: this much energy driving more Trump supporters of the polls,

981
01:03:33,440 --> 01:03:36,080
Speaker 1: your guy would have won. But he didn't, and Joe

982
01:03:36,080 --> 01:03:39,680
Speaker 1: Biden again won fairly easily. And I know a lot

983
01:03:39,720 --> 01:03:41,200
Speaker 1: of you guys didn't want to hear it. I got

984
01:03:41,200 --> 01:03:43,760
Speaker 1: all the messages, trust me, but I was on it

985
01:03:43,840 --> 01:03:48,360
Speaker 1: right away. I never ascribe vast conspiracies to things that

986
01:03:48,400 --> 01:03:54,000
Speaker 1: are explainable by simpler explanations, because really, like you know,

987
01:03:54,040 --> 01:03:56,960
Speaker 1: you think, you think it would involve like hundreds of

988
01:03:57,000 --> 01:04:00,160
Speaker 1: people and you know, millions of dollars in transaction, and

989
01:04:00,200 --> 01:04:02,120
Speaker 1: it's just like it just sounds like nonsense. You know

990
01:04:02,120 --> 01:04:03,560
Speaker 1: how hard that would be to pull off? And then

991
01:04:03,600 --> 01:04:05,680
Speaker 1: what nobody talks? Get out of here? All right? More

992
01:04:05,720 --> 01:04:31,120
Speaker 1: after this on to Jesse Kelly Show. Natural medicines and

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996
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Speaker 1: this morning my right shoulder and my left hip hurt.

997
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Speaker 1: What sense does that even be? How does that even

998
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1008
01:05:44,720 --> 01:05:47,720
Speaker 1: Jesse Kelly Show b k here. Thanks guys for hanging

1009
01:05:47,720 --> 01:05:49,440
Speaker 1: in with me. Go ahead and follow me on Twitter

1010
01:05:49,480 --> 01:05:51,680
Speaker 1: at Bravo Kilo actually, and check out all the news

1011
01:05:51,720 --> 01:05:55,120
Speaker 1: throughout the week. So I like to mix it up,

1012
01:05:55,160 --> 01:05:58,040
Speaker 1: as you all know probably by now, And this was

1013
01:05:58,080 --> 01:06:01,680
Speaker 1: a story that I on the podcast last weekend and

1014
01:06:01,720 --> 01:06:03,640
Speaker 1: I got a lot. I got quite a few messages

1015
01:06:03,680 --> 01:06:06,160
Speaker 1: from it, including from a bunch of you guys who said, Dude,

1016
01:06:06,200 --> 01:06:08,600
Speaker 1: I live in this I live in this region forever

1017
01:06:08,720 --> 01:06:10,600
Speaker 1: and I never heard about this story. And it's a

1018
01:06:10,640 --> 01:06:17,280
Speaker 1: crazy story and it involves some of my favorite stuff, sex, acts, nudity, etc. Etc.

1019
01:06:18,120 --> 01:06:20,200
Speaker 1: So what happened here, Well, this had to do with

1020
01:06:20,240 --> 01:06:24,880
Speaker 1: the Signal Mountain Fire Department. Okay, and Signal Mountain is

1021
01:06:24,880 --> 01:06:27,959
Speaker 1: in Tennessee for those of you who don't know. So

1022
01:06:28,920 --> 01:06:33,440
Speaker 1: what happened here is some kind of Signal Mountain cop

1023
01:06:33,920 --> 01:06:39,200
Speaker 1: was like on patrol and he was passing along and

1024
01:06:39,280 --> 01:06:42,480
Speaker 1: he was he was driving by Signal Mountain fire station

1025
01:06:42,600 --> 01:06:47,720
Speaker 1: number two. Now he saw a man outside the front

1026
01:06:47,720 --> 01:06:49,480
Speaker 1: of the building and a person who appeared to be

1027
01:06:49,520 --> 01:06:52,840
Speaker 1: a woman inside the lobby. The only part I don't

1028
01:06:52,880 --> 01:06:55,800
Speaker 1: get is why this aroused him so because he went

1029
01:06:55,840 --> 01:06:57,800
Speaker 1: back to check it out, Like, I don't know if

1030
01:06:57,840 --> 01:07:00,760
Speaker 1: that's unusual. Maybe the station was closed. It's a volunteer

1031
01:07:00,800 --> 01:07:03,240
Speaker 1: fire department and there's normally nobody there. I don't know why,

1032
01:07:03,360 --> 01:07:05,680
Speaker 1: but for whatever reason, this guy decided to take a

1033
01:07:05,840 --> 01:07:10,280
Speaker 1: closer look. And the officer said he believed these two

1034
01:07:10,320 --> 01:07:14,800
Speaker 1: could be trespassing or burglarizing the station. I guess it's

1035
01:07:14,840 --> 01:07:17,600
Speaker 1: not normal to have people just standing out in front

1036
01:07:17,640 --> 01:07:22,960
Speaker 1: of the fire station. So the officer gets out of

1037
01:07:23,000 --> 01:07:24,960
Speaker 1: his car and he goes over the fire department to

1038
01:07:25,000 --> 01:07:27,000
Speaker 1: take a closer look. Right, so he decides to look

1039
01:07:27,040 --> 01:07:30,920
Speaker 1: through the window, and he sees a man sitting in

1040
01:07:30,960 --> 01:07:36,720
Speaker 1: a chair and what appears to be a woman is

1041
01:07:36,800 --> 01:07:40,880
Speaker 1: performing oral sex on the man. I know, I apologize

1042
01:07:40,880 --> 01:07:43,040
Speaker 1: for allowing you people who don't like to grows stuff.

1043
01:07:43,080 --> 01:07:44,840
Speaker 1: So maybe you just turn radio down for the next

1044
01:07:44,880 --> 01:07:48,400
Speaker 1: couple of minutes. So the cop turns on his body cam.

1045
01:07:48,520 --> 01:07:51,080
Speaker 1: He tries to enter the building undetected, well, he must

1046
01:07:51,120 --> 01:07:53,040
Speaker 1: have made a little bit of noise because he gets

1047
01:07:53,080 --> 01:07:59,640
Speaker 1: inside the room and the dude who's receiving runs towards

1048
01:07:59,680 --> 01:08:04,560
Speaker 1: another exit, zipping up his pants. Okay, so the cop

1049
01:08:04,680 --> 01:08:07,280
Speaker 1: chases the guy and he takes the man to the ground,

1050
01:08:08,920 --> 01:08:12,400
Speaker 1: and the dude that gets taken to the ground, the

1051
01:08:12,400 --> 01:08:14,400
Speaker 1: cops like, basically like, what are you doing. Well, the

1052
01:08:14,400 --> 01:08:18,559
Speaker 1: man tells him that the woman air quotes here was

1053
01:08:18,720 --> 01:08:24,240
Speaker 1: actually a man and a Signal Mountain firefighter who had

1054
01:08:24,360 --> 01:08:30,200
Speaker 1: dressed as a woman. Right, you guys tracking on this now,

1055
01:08:29,760 --> 01:08:32,160
Speaker 1: So the woman is not a woman at all, but

1056
01:08:32,200 --> 01:08:36,280
Speaker 1: it's one of the firefighters dressed as a woman. And

1057
01:08:36,479 --> 01:08:39,240
Speaker 1: so then they detain this guy, puts him in the

1058
01:08:39,240 --> 01:08:42,639
Speaker 1: back of the patrol car, and the cops go looking

1059
01:08:42,800 --> 01:08:48,760
Speaker 1: for the woman, right, And they didn't find him, but

1060
01:08:49,240 --> 01:08:53,200
Speaker 1: a firefighter did come out of the bay and begin

1061
01:08:53,320 --> 01:08:57,280
Speaker 1: helping them search for the unknown person. But the cop

1062
01:08:57,520 --> 01:09:00,640
Speaker 1: notice that this firefighter came out to help had a

1063
01:09:00,680 --> 01:09:05,360
Speaker 1: little bit of lip gloss still on his lip and

1064
01:09:05,920 --> 01:09:09,240
Speaker 1: began to suspect that the firefighter helping them was actually

1065
01:09:09,240 --> 01:09:14,839
Speaker 1: the person they were looking for. Let's see, the officer

1066
01:09:14,920 --> 01:09:19,120
Speaker 1: also said items including a pillow and lubricant had been

1067
01:09:19,160 --> 01:09:24,560
Speaker 1: removed from the scene. So eventually this cop gets suspicious

1068
01:09:24,560 --> 01:09:27,920
Speaker 1: he sees the lip gloss on the guy and he

1069
01:09:28,000 --> 01:09:31,600
Speaker 1: kind of confronts him. Well, the firefighter admits to the

1070
01:09:31,640 --> 01:09:35,240
Speaker 1: officer that yes, he had been with the other man,

1071
01:09:35,400 --> 01:09:39,519
Speaker 1: but he denied any sexual act had happened. But that's

1072
01:09:40,120 --> 01:09:44,840
Speaker 1: the cop had his body cam on, right, So then

1073
01:09:44,880 --> 01:09:48,240
Speaker 1: they go in question the dude who they who was

1074
01:09:48,320 --> 01:09:50,760
Speaker 1: receiving who they locked in the back of the patrol car, right,

1075
01:09:51,720 --> 01:09:56,519
Speaker 1: And this that guy shows officers messages in his phone

1076
01:09:56,760 --> 01:09:59,600
Speaker 1: in which the firefighter had set up the meeting and

1077
01:09:59,640 --> 01:10:02,599
Speaker 1: that it wasn't the first time the firefighter had tried

1078
01:10:02,640 --> 01:10:07,759
Speaker 1: to arrange it. And then yes, a police officer reported

1079
01:10:07,760 --> 01:10:09,840
Speaker 1: finding a bag in the men's restroom and inside it

1080
01:10:09,880 --> 01:10:15,240
Speaker 1: a woman's clothing and a wig. So the cops then

1081
01:10:15,280 --> 01:10:18,280
Speaker 1: told the firefighter to leave the premises until the investigation

1082
01:10:18,360 --> 01:10:21,840
Speaker 1: was finished. And the other man was not charged at all.

1083
01:10:21,920 --> 01:10:25,519
Speaker 1: So because you know, he was invited to the fire station. Yeah,

1084
01:10:25,560 --> 01:10:28,040
Speaker 1: so it sounds like yeah, and so now this firefighter

1085
01:10:28,120 --> 01:10:30,920
Speaker 1: eventually he's been he's he has resigned. The guy who

1086
01:10:30,960 --> 01:10:34,519
Speaker 1: was dressed like a woman with the wig and all that,

1087
01:10:34,600 --> 01:10:39,360
Speaker 1: who was pleasuring the man sitting in a chair. So

1088
01:10:39,760 --> 01:10:43,360
Speaker 1: Signal Mountain, Tennessee, I mean, come on, that's it's a

1089
01:10:43,400 --> 01:10:47,639
Speaker 1: pretty rural place. And that is some wild stuff going

1090
01:10:47,680 --> 01:10:51,280
Speaker 1: on in Signal Mountain. You gotta love it, pretty crazy.

1091
01:10:51,840 --> 01:10:54,160
Speaker 1: I love stories like that. I'll send all the ones.

1092
01:10:54,400 --> 01:10:56,360
Speaker 1: I will definitely do all the ones. You guys send

1093
01:10:56,960 --> 01:11:01,080
Speaker 1: me like that, So keep him coming. All right. Now,

1094
01:11:01,160 --> 01:11:03,839
Speaker 1: let's as long as we're on a subject of crazy

1095
01:11:03,880 --> 01:11:06,559
Speaker 1: guys here, let's talk about this dude a little bit.

1096
01:11:07,000 --> 01:11:09,680
Speaker 1: And I remember talking about this guy on the podcast

1097
01:11:09,760 --> 01:11:15,040
Speaker 1: like a few months ago. And this was a sex

1098
01:11:15,120 --> 01:11:18,559
Speaker 1: slave New York City priest who was accused of spending

1099
01:11:18,600 --> 01:11:23,240
Speaker 1: a million dollars of church money on a BDMS master

1100
01:11:24,640 --> 01:11:29,760
Speaker 1: that's you know, the dominatrix stuff. And he used to

1101
01:11:29,840 --> 01:11:35,880
Speaker 1: drink this guy's yearine. And now they have he's in

1102
01:11:35,920 --> 01:11:43,320
Speaker 1: the news because they basically revealed the autopsy from this

1103
01:11:43,520 --> 01:11:48,599
Speaker 1: disgraced priest. He was fifty seven years old, the Reverend

1104
01:11:48,680 --> 01:11:51,519
Speaker 1: Peter mckelly. He was found dead in his New Jersey

1105
01:11:51,600 --> 01:11:54,080
Speaker 1: home in July this last July, and I was four

1106
01:11:54,200 --> 01:11:57,280
Speaker 1: years after he resigned from the church after being sued

1107
01:11:57,280 --> 01:12:02,280
Speaker 1: by parishioners because the parishioners claimed he used a million

1108
01:12:02,320 --> 01:12:05,120
Speaker 1: dollars of church money to pay for his master, a

1109
01:12:05,160 --> 01:12:09,680
Speaker 1: guy named Keith Christ And this is all money that

1110
01:12:09,720 --> 01:12:12,280
Speaker 1: he was stolen from. You know, he stole basically from

1111
01:12:12,280 --> 01:12:17,600
Speaker 1: the parishioners and this priest, dude, I mean, what is

1112
01:12:17,680 --> 01:12:20,200
Speaker 1: wrong with the Catholic Church? I mean, I asked myself,

1113
01:12:20,200 --> 01:12:22,160
Speaker 1: and I, guys, this is no. I'm not trying to

1114
01:12:22,160 --> 01:12:25,479
Speaker 1: be a jerk here. I grew up with an Irish

1115
01:12:25,479 --> 01:12:27,599
Speaker 1: Catholic mother who used to drag me to church all

1116
01:12:27,600 --> 01:12:31,559
Speaker 1: the time. And it's funny because after all the sex

1117
01:12:31,640 --> 01:12:34,320
Speaker 1: scandal stuff became, I stopped going when I was like seventeen.

1118
01:12:34,360 --> 01:12:35,800
Speaker 1: I just told my mom. I was like, yeah, I

1119
01:12:35,960 --> 01:12:38,120
Speaker 1: have a job now. I start working immediately. And that

1120
01:12:38,200 --> 01:12:39,479
Speaker 1: was like my way of getting out of going to

1121
01:12:39,600 --> 01:12:41,960
Speaker 1: church because I was like, well, I gotta work on

1122
01:12:42,000 --> 01:12:44,720
Speaker 1: Saturdays and Sundays. While I was in high school, it

1123
01:12:44,800 --> 01:12:46,760
Speaker 1: was funny. I used to like, you know, when all

1124
01:12:46,800 --> 01:12:49,559
Speaker 1: the sexual abuse came out and all the stories of

1125
01:12:49,600 --> 01:12:51,559
Speaker 1: all the boys being less than everything else, I used

1126
01:12:51,560 --> 01:12:53,200
Speaker 1: to like think back and I was like, man, did

1127
01:12:53,200 --> 01:12:56,240
Speaker 1: I wandered? Do you know, am I maybe I'm maybe

1128
01:12:56,280 --> 01:13:00,280
Speaker 1: I'm hiding my own molestation. But then I real it

1129
01:13:00,320 --> 01:13:01,880
Speaker 1: was funny. Me and my brother were joking about it,

1130
01:13:01,920 --> 01:13:04,320
Speaker 1: and I was like, because our priests, there's no way, dude,

1131
01:13:04,360 --> 01:13:06,760
Speaker 1: our priests was ancient, you know, even if he had

1132
01:13:06,800 --> 01:13:09,080
Speaker 1: wanted to, which I'm sure he did and he probably

1133
01:13:09,080 --> 01:13:12,080
Speaker 1: did in his younger days, there's no way this dude

1134
01:13:12,120 --> 01:13:14,640
Speaker 1: was going to molest anybody. He was like ninety, He

1135
01:13:14,840 --> 01:13:17,840
Speaker 1: like had you know, breathing problems. He was like way

1136
01:13:17,840 --> 01:13:20,799
Speaker 1: beyond the pale. And then but then he finally died,

1137
01:13:21,720 --> 01:13:26,759
Speaker 1: and the dude who took his place m suspect for sure,

1138
01:13:27,120 --> 01:13:31,560
Speaker 1: much younger, very effeminate. You know, I had all the markings.

1139
01:13:31,720 --> 01:13:33,720
Speaker 1: But see if by then I had aged out, I

1140
01:13:33,800 --> 01:13:35,400
Speaker 1: was too old for him, because then I'm like, you know,

1141
01:13:35,400 --> 01:13:37,600
Speaker 1: I'm fourteen, and I'm too old for this guy to

1142
01:13:38,000 --> 01:13:41,160
Speaker 1: go after him. But he was definitely suspect. But I

1143
01:13:41,160 --> 01:13:42,720
Speaker 1: always used to wonder that. I'm like, oh, man, I

1144
01:13:42,760 --> 01:13:46,360
Speaker 1: wonder if maybe I'm blocking out my my being molested.

1145
01:13:46,439 --> 01:13:48,040
Speaker 1: And then I was like no, no no, no, no, so

1146
01:13:48,560 --> 01:13:52,439
Speaker 1: but dude, these priests are wild. Man. This guy, this

1147
01:13:52,600 --> 01:13:55,800
Speaker 1: mcklly guy, he used to pay this uh this, you know,

1148
01:13:56,000 --> 01:14:01,320
Speaker 1: sado masochist guy, a thousand bucks per sessions, sexual exploits

1149
01:14:01,360 --> 01:14:09,200
Speaker 1: that included him drinking the Master's urine at times. Wow,

1150
01:14:11,120 --> 01:14:15,320
Speaker 1: he enjoyed being publicly humiliated and laughed at and degraded

1151
01:14:15,439 --> 01:14:20,639
Speaker 1: by the Master himself. So boy, the Catholic Church man,

1152
01:14:20,680 --> 01:14:22,800
Speaker 1: if you guys ever want to, I've recommended this book

1153
01:14:22,800 --> 01:14:25,959
Speaker 1: a few times. There's a book called in the Closet

1154
01:14:25,960 --> 01:14:27,640
Speaker 1: of the Vatican that came out like a year or

1155
01:14:27,680 --> 01:14:29,960
Speaker 1: two ago, and I remember the Church was really against it.

1156
01:14:30,280 --> 01:14:33,439
Speaker 1: But this French journalist I read it. It's fascinating. This

1157
01:14:33,520 --> 01:14:37,759
Speaker 1: French journalist basically interviewed hundreds of priests and like dozens

1158
01:14:37,760 --> 01:14:41,000
Speaker 1: and dozens of cardinals, people very high up, as well

1159
01:14:41,040 --> 01:14:43,519
Speaker 1: as a bunch of like male prostitutes around Vatican City

1160
01:14:43,520 --> 01:14:45,800
Speaker 1: and stuff, and like he came to the conclusion at

1161
01:14:45,840 --> 01:14:50,519
Speaker 1: like almost all the church hierarchy is gay, you know which,

1162
01:14:50,600 --> 01:14:53,080
Speaker 1: And he's like, in you know, no shaming, that's what

1163
01:14:53,120 --> 01:14:56,040
Speaker 1: you are. But that was his conclusion by it, and

1164
01:14:56,080 --> 01:14:59,880
Speaker 1: he himself, the author, the French journalist, is also gay.

1165
01:15:00,000 --> 01:15:02,200
Speaker 1: And he's got a lot of these people on record,

1166
01:15:02,920 --> 01:15:04,840
Speaker 1: and you know, it just makes you think, like man,

1167
01:15:05,840 --> 01:15:09,080
Speaker 1: how long has this been going on? And how many

1168
01:15:09,560 --> 01:15:12,840
Speaker 1: you know? For how many centuries? And it's it's a

1169
01:15:13,280 --> 01:15:16,280
Speaker 1: fascinating topic to me. Okay, guys, we'll come back with

1170
01:15:16,320 --> 01:15:30,000
Speaker 1: more on the Jesse Kelly Show after this. One in

1171
01:15:30,080 --> 01:15:33,439
Speaker 1: three adults has pre diabetes. One in three. That means

1172
01:15:33,479 --> 01:15:38,240
Speaker 1: it could be you, your football buddy, your fruitball buddy,

1173
01:15:38,360 --> 01:15:43,000
Speaker 1: or you your best man, you're worst man. You you're

1174
01:15:43,000 --> 01:15:46,760
Speaker 1: a dog walker, you're a cat jugger. While one in

1175
01:15:46,800 --> 01:15:50,560
Speaker 1: three adults has pre diabetes. With early diagnosis, pre diabetes

1176
01:15:50,600 --> 01:15:52,920
Speaker 1: can be reversed. Take the risk test at do I

1177
01:15:53,040 --> 01:15:55,960
Speaker 1: have pre diabetes dot org? That's do I have pre

1178
01:15:56,080 --> 01:15:59,880
Speaker 1: diabetes dot org? Wait? Did they just say one in

1179
01:16:00,040 --> 01:16:03,760
Speaker 1: three adults has pre diabetes. That's thirty three point three

1180
01:16:03,080 --> 01:16:05,439
Speaker 1: three three percent of adults. That means it could be

1181
01:16:05,479 --> 01:16:08,680
Speaker 1: me my boss or my boss's boss, or me my

1182
01:16:08,720 --> 01:16:11,840
Speaker 1: favorite sister or my other sister. That's seven members of

1183
01:16:11,920 --> 01:16:15,160
Speaker 1: my twenty one person romantic book club. Wait, the one

1184
01:16:15,200 --> 01:16:18,240
Speaker 1: in three could be me my karaoke partner Carol, or

1185
01:16:18,920 --> 01:16:22,000
Speaker 1: my karaoke enemy, Jeff. I'm going to take the risk

1186
01:16:22,080 --> 01:16:25,200
Speaker 1: test that do I have pre diabetes? Dot org? Brought

1187
01:16:25,200 --> 01:16:27,320
Speaker 1: to you by the AD Council and it's pre diabetes

1188
01:16:27,320 --> 01:16:46,639
Speaker 1: Awareness partners. All right, cruise along here, Jesse Kelly show

1189
01:16:46,720 --> 01:16:49,800
Speaker 1: b K sitting in one thing. I really like you guys,

1190
01:16:49,880 --> 01:16:52,120
Speaker 1: some of the stories I really like. I love cold cases.

1191
01:16:52,479 --> 01:16:55,439
Speaker 1: Fascinated by that and we got a good one here.

1192
01:16:55,800 --> 01:17:02,800
Speaker 1: Detectives have determined a skull that they've discovered belonged to

1193
01:17:03,000 --> 01:17:08,720
Speaker 1: a teenager who vanished in nineteen seventy six, and they

1194
01:17:08,800 --> 01:17:15,000
Speaker 1: believe this is the skull of Wanda her who at

1195
01:17:15,000 --> 01:17:17,320
Speaker 1: the time of her disappearance was nineteen years old. She

1196
01:17:17,439 --> 01:17:20,439
Speaker 1: was last seen in nineteen seventy six. The last known

1197
01:17:20,439 --> 01:17:22,960
Speaker 1: photograph of her was taken seven years earlier, when she

1198
01:17:23,040 --> 01:17:26,760
Speaker 1: was just twelve years old. Well, a part of the

1199
01:17:26,920 --> 01:17:30,960
Speaker 1: skull was discovered in nineteen eighty six by two US

1200
01:17:31,120 --> 01:17:34,840
Speaker 1: four service workers, right about seventy miles away from where

1201
01:17:34,920 --> 01:17:38,360
Speaker 1: she was living in this group home now. At the time,

1202
01:17:38,960 --> 01:17:43,680
Speaker 1: investigators were baffled by the remains and were unable to

1203
01:17:43,760 --> 01:17:47,559
Speaker 1: link them to any missing person registered in their database.

1204
01:17:48,960 --> 01:17:51,639
Speaker 1: While it was not until last month, more than forty

1205
01:17:51,720 --> 01:17:56,080
Speaker 1: four years after her disappearance, that detectives were finally able

1206
01:17:56,160 --> 01:17:58,880
Speaker 1: to determine that these remains that were found in nineteen

1207
01:17:58,880 --> 01:18:05,639
Speaker 1: eighty six did indeed belong to Wanda Her. So they

1208
01:18:05,680 --> 01:18:12,400
Speaker 1: performed forensic genetic genealogy testing, DNA phenotyping, and extensive genealogical

1209
01:18:12,439 --> 01:18:17,920
Speaker 1: research to make the discovery. So, as often happens with

1210
01:18:18,000 --> 01:18:22,680
Speaker 1: these things, a distant relative of hers had likely uploaded

1211
01:18:22,720 --> 01:18:26,320
Speaker 1: their DNA to a genealogy website similar to ancestry dot

1212
01:18:26,360 --> 01:18:32,519
Speaker 1: com and others, which inadvertently aided investigators into search. So

1213
01:18:32,640 --> 01:18:35,960
Speaker 1: from there, detectives were able to track down hers sisters

1214
01:18:37,280 --> 01:18:41,120
Speaker 1: who provided DNA samples and then they matched those taken

1215
01:18:42,200 --> 01:18:46,360
Speaker 1: from the remains. So this does finally confirm that the

1216
01:18:46,439 --> 01:18:49,160
Speaker 1: partial skull bone fragments, and yes they did find a

1217
01:18:49,200 --> 01:18:56,920
Speaker 1: tooth also all belonged to her. But the mystery still

1218
01:18:56,960 --> 01:19:00,080
Speaker 1: isn't done because you know, they don't really don't know

1219
01:19:00,120 --> 01:19:06,519
Speaker 1: what happened, and she had no DMV record, no bank account,

1220
01:19:07,160 --> 01:19:11,439
Speaker 1: and there are no police reports that even mentioned her.

1221
01:19:11,680 --> 01:19:14,040
Speaker 1: And this is back in you know, the seventies, primitive, right,

1222
01:19:14,960 --> 01:19:18,040
Speaker 1: So the cold case rolls on. But at least they

1223
01:19:18,080 --> 01:19:21,040
Speaker 1: like kind of like found you know, the body partner

1224
01:19:21,080 --> 01:19:24,240
Speaker 1: was able to match it with the victim, which is

1225
01:19:24,280 --> 01:19:28,880
Speaker 1: a huge improvement, thank God from modern technology. Let's see

1226
01:19:28,920 --> 01:19:33,439
Speaker 1: what else do I have. Let's go to this one.

1227
01:19:33,479 --> 01:19:39,600
Speaker 1: I also love high profile court cases. And do you

1228
01:19:39,600 --> 01:19:47,360
Speaker 1: guys remember the Thinos company and Elizabeth Holmes. Yeah, that's right.

1229
01:19:47,360 --> 01:19:49,479
Speaker 1: They made a documentary about that too, And how she

1230
01:19:49,600 --> 01:19:52,599
Speaker 1: schnookeerd all these guys, these these old dudes with money,

1231
01:19:52,640 --> 01:19:57,240
Speaker 1: with deep pockets with money is hilarious to me. So

1232
01:19:58,400 --> 01:20:02,400
Speaker 1: this trial is kind of getting getting ready to kick

1233
01:20:02,439 --> 01:20:04,559
Speaker 1: off here. It's supposed to start on March ninth of

1234
01:20:04,640 --> 01:20:06,559
Speaker 1: next year, but you know, the motions are coming in

1235
01:20:06,600 --> 01:20:11,040
Speaker 1: by prosecutors. So it's in the news right now because

1236
01:20:11,120 --> 01:20:16,719
Speaker 1: prosecutors saying text messages allegedly sent between disgraced Tharonos founder

1237
01:20:16,840 --> 01:20:20,880
Speaker 1: Elizabeth Holmes and her one time lover and business associate

1238
01:20:21,080 --> 01:20:26,679
Speaker 1: Ramesh Balwanni showed the pair panicking before the blood testing

1239
01:20:26,720 --> 01:20:31,080
Speaker 1: company collapsed. If you don't know what this is about,

1240
01:20:31,800 --> 01:20:35,559
Speaker 1: Tharonos was that startup which promised to revolutionize the healthcare

1241
01:20:35,600 --> 01:20:39,519
Speaker 1: industry by offering automated, rapid speed blood testing. While it

1242
01:20:39,640 --> 01:20:42,280
Speaker 1: was shut down in twenty eighteen after the failures of

1243
01:20:42,320 --> 01:20:45,160
Speaker 1: the company's technology were exposed. Basically, they didn't even have

1244
01:20:45,200 --> 01:20:50,280
Speaker 1: any and Holmes is now Elizabeth Holmes is now thirty

1245
01:20:50,280 --> 01:20:55,960
Speaker 1: six and Balwani's fifty five. But while this she basically

1246
01:20:56,000 --> 01:20:59,479
Speaker 1: pulled the wool over everybody's eyes because she was young

1247
01:20:59,720 --> 01:21:04,120
Speaker 1: and thin and a female, and she got like, I mean,

1248
01:21:04,160 --> 01:21:08,599
Speaker 1: we're talking heavy hitters, including General James Madis was on

1249
01:21:08,640 --> 01:21:10,800
Speaker 1: the board of this. He was taken in by her

1250
01:21:10,960 --> 01:21:16,280
Speaker 1: by this chick. So they have some of these messages,

1251
01:21:16,320 --> 01:21:19,840
Speaker 1: and one message sent back in November twenty fourteen, Balwanni

1252
01:21:20,000 --> 01:21:23,680
Speaker 1: allegedly described one section of the Thornis Laboratory as a

1253
01:21:23,840 --> 01:21:31,120
Speaker 1: quote effing disaster zone end quote. Another time the next year,

1254
01:21:32,560 --> 01:21:35,479
Speaker 1: as the Centers for Medicare and Medicaid Services conducted a

1255
01:21:35,560 --> 01:21:39,799
Speaker 1: survey of the Thornis Lab, Balwani reportedly texted a message

1256
01:21:39,800 --> 01:21:44,360
Speaker 1: to Holmes which stated, quote our validation reports are terrible,

1257
01:21:44,600 --> 01:21:48,200
Speaker 1: really painful, going through this process going bad so far.

1258
01:21:48,520 --> 01:21:54,480
Speaker 1: Pray end quote, and Holmes responded, quote praying, praying continually

1259
01:21:54,600 --> 01:21:58,280
Speaker 1: end quote. So the Centers for Medicare and Medicaid Services

1260
01:21:58,280 --> 01:22:02,200
Speaker 1: subsequently reported that the lab posed immediate jeopardy to health

1261
01:22:02,240 --> 01:22:07,200
Speaker 1: and safety. The company raised more than seven hundred million

1262
01:22:07,240 --> 01:22:10,599
Speaker 1: from venture capitalists and investors and was valued a whopping

1263
01:22:10,840 --> 01:22:16,360
Speaker 1: ten billion dollars by twenty fourteen. Well Holmes and Balwani

1264
01:22:16,439 --> 01:22:19,880
Speaker 1: were eventually charged with fraud in twenty eighteen, accused of

1265
01:22:20,040 --> 01:22:25,040
Speaker 1: duping investors and medical professionals. Both have pleaded not guilty

1266
01:22:25,200 --> 01:22:30,679
Speaker 1: to all charges. And it's funny a couple other motions

1267
01:22:30,680 --> 01:22:32,880
Speaker 1: that were in on this case. Holmes Is legal team

1268
01:22:32,880 --> 01:22:35,760
Speaker 1: filed emotion last week can attempt to block prosecutors from

1269
01:22:35,800 --> 01:22:40,120
Speaker 1: mentioning her wealth, spending habits, and luxurious lifestyle during her

1270
01:22:40,160 --> 01:22:45,599
Speaker 1: fraud trial next year. That's great. Oh yeah, you guys

1271
01:22:45,600 --> 01:22:50,639
Speaker 1: should for sure go check out that documentary. I can't

1272
01:22:50,680 --> 01:22:52,640
Speaker 1: remember the name of the actual document I'm just just

1273
01:22:52,720 --> 01:22:55,920
Speaker 1: google Theopnos documentary though, and it was on I believe

1274
01:22:55,920 --> 01:22:58,200
Speaker 1: it was on HBO. It's it's fascinating. It just shows

1275
01:22:58,240 --> 01:23:01,799
Speaker 1: how this chick just really fooled a bunch of very

1276
01:23:01,840 --> 01:23:04,720
Speaker 1: supposedly smart people. And it's a great stuff. More after this,

1277
01:23:04,760 --> 01:23:20,080
Speaker 1: I'm the Jesse Kelly Show. Wake up and text, text

1278
01:23:20,160 --> 01:23:25,559
Speaker 1: and eat, text and catch the bus, text and miss

1279
01:23:25,600 --> 01:23:30,960
Speaker 1: your stop. Wait, text and be late to work Sorry,

1280
01:23:31,920 --> 01:23:37,640
Speaker 1: Text and work, text and pretend to work text and

1281
01:23:37,720 --> 01:23:40,000
Speaker 1: X Surprised when someone calls you out for not working.

1282
01:23:41,600 --> 01:23:43,320
Speaker 1: Text and meet up with a friend you haven't seen

1283
01:23:43,360 --> 01:23:47,200
Speaker 1: in forever. Text and complain that they're on their phone

1284
01:23:47,200 --> 01:23:50,720
Speaker 1: the whole time. Text and listen to them complain that

1285
01:23:50,760 --> 01:23:55,759
Speaker 1: you're on your phone the whole time. Text and whatever.

1286
01:23:56,640 --> 01:23:58,960
Speaker 1: But when you get behind the wheel, give your phone

1287
01:23:58,960 --> 01:24:02,080
Speaker 1: to a passenger, put it in the glove box. Just

1288
01:24:02,240 --> 01:24:06,240
Speaker 1: don't text and drive, they said, stop texts. Stop rerex

1289
01:24:06,360 --> 01:24:09,160
Speaker 1: dot org. A public service announcement brought to you by

1290
01:24:09,160 --> 01:24:12,559
Speaker 1: the National Highway Traffic Safety Administration and the AD Council.

1291
01:24:28,760 --> 01:24:31,240
Speaker 1: All right, guys, back here, wrapping up this hour of

1292
01:24:31,280 --> 01:24:34,160
Speaker 1: the Jesse Kelly Show. Just a piggyback on. During the break,

1293
01:24:34,200 --> 01:24:37,000
Speaker 1: I looked up the name of that documentary on Thornos

1294
01:24:37,080 --> 01:24:39,519
Speaker 1: that you should go check out. Yeah, it's called The

1295
01:24:39,560 --> 01:24:43,120
Speaker 1: Inventor and it was an HBO documentary. I didn't have

1296
01:24:43,160 --> 01:24:45,680
Speaker 1: that part right, and it's it's just a great it's

1297
01:24:45,720 --> 01:24:49,840
Speaker 1: a great story like it just basically what she said

1298
01:24:50,600 --> 01:24:53,360
Speaker 1: this Elizabeth Holmes, was that they had this magic box

1299
01:24:53,800 --> 01:24:56,720
Speaker 1: that could perform any blood test you wanted. And then

1300
01:24:56,760 --> 01:25:00,800
Speaker 1: it came out that Thornos's technology it really didn't work,

1301
01:25:00,840 --> 01:25:03,919
Speaker 1: and that the company was using routine blood testing equipment

1302
01:25:03,920 --> 01:25:06,320
Speaker 1: for the vast majority of its tests, not this like

1303
01:25:06,840 --> 01:25:10,240
Speaker 1: little tiny box that they were fond of showing off.

1304
01:25:11,160 --> 01:25:14,479
Speaker 1: And they got Walgreens to buy in on it, and

1305
01:25:14,960 --> 01:25:19,160
Speaker 1: they got big, deep pocketed dudes to pour hundreds and

1306
01:25:19,240 --> 01:25:22,760
Speaker 1: hundreds of millions of dollars into this company. So they

1307
01:25:22,760 --> 01:25:25,479
Speaker 1: basically called her a giant fraud and said none of

1308
01:25:25,520 --> 01:25:29,840
Speaker 1: this stuff is work, and she now is looking at

1309
01:25:30,360 --> 01:25:33,479
Speaker 1: a maximum penalty of twenty years in prison and a

1310
01:25:33,520 --> 01:25:37,679
Speaker 1: two point seven five million dollars fine. And at the time,

1311
01:25:37,680 --> 01:25:40,040
Speaker 1: you know, especially a woman in tech, I mean, you

1312
01:25:40,040 --> 01:25:42,760
Speaker 1: can imagine a liberal media slobbered all over her. It

1313
01:25:42,840 --> 01:25:46,320
Speaker 1: was like embarrassing, but you can't hide forever and eventually

1314
01:25:46,400 --> 01:25:49,719
Speaker 1: the real science comes out. So great stuff. Go watch

1315
01:25:49,760 --> 01:25:52,880
Speaker 1: the documentary. Can't recommended enough. We'll be back with more

1316
01:25:52,960 --> 01:26:17,120
Speaker 1: on a Jesse Kelly Show after this The Jesse Kelly Show.

1317
01:26:29,720 --> 01:26:36,240
Speaker 1: This is a Jesse Kelly Show. Okay, back here with

1318
01:26:36,280 --> 01:26:38,960
Speaker 1: the Jesse Kelly Show. B K sitting in for Jesse.

1319
01:26:39,160 --> 01:26:41,880
Speaker 1: Want to thank you guys for listening and putting up

1320
01:26:41,920 --> 01:26:43,679
Speaker 1: with me. You know, I've I've said a couple of times,

1321
01:26:43,720 --> 01:26:46,280
Speaker 1: I'm still kind of getting used to the whole you know,

1322
01:26:46,439 --> 01:26:51,280
Speaker 1: radio AM talk radio thing. The podcast. Obviously, I can

1323
01:26:51,360 --> 01:26:54,360
Speaker 1: say pretty much whatever I want, and yes there is

1324
01:26:54,439 --> 01:26:58,320
Speaker 1: a copious amount of profanity when necessary, not not too much,

1325
01:26:58,360 --> 01:27:04,000
Speaker 1: but so sometimes I almost slip here on terrestrial radio.

1326
01:27:04,080 --> 01:27:05,920
Speaker 1: But I think I'm getting pretty good at it. So

1327
01:27:06,240 --> 01:27:09,120
Speaker 1: we'll keep going along. And I just really appreciate all

1328
01:27:09,160 --> 01:27:13,320
Speaker 1: of you listening. So why don't we talk about Afghanistan

1329
01:27:13,439 --> 01:27:15,720
Speaker 1: for a while. I know we can't go away fast enough,

1330
01:27:15,800 --> 01:27:18,240
Speaker 1: can it? You know, it is funny. I was. I

1331
01:27:18,280 --> 01:27:22,880
Speaker 1: was laughing over the weekend because I saw I was

1332
01:27:22,880 --> 01:27:25,000
Speaker 1: talking about how like when Trump said he wanted to

1333
01:27:25,000 --> 01:27:27,920
Speaker 1: get all the troops out of Afghanistan by Christmas and

1334
01:27:28,080 --> 01:27:32,400
Speaker 1: the fears pushback from the Washington DC people, and it's

1335
01:27:32,439 --> 01:27:34,560
Speaker 1: just amazing to me. I'm like, dude, because if you

1336
01:27:34,720 --> 01:27:37,479
Speaker 1: if you talk to normal people, you know, who have souls,

1337
01:27:37,800 --> 01:27:42,000
Speaker 1: not like the DC bureaucrats with their who are complete hacks.

1338
01:27:42,120 --> 01:27:46,240
Speaker 1: If you talk to normal people, regardless of their political affiliation,

1339
01:27:47,439 --> 01:27:53,839
Speaker 1: in this tumultuous time, it's rare to find an issue

1340
01:27:53,920 --> 01:27:56,120
Speaker 1: that everybody can pretty much agree on, right. And my

1341
01:27:56,200 --> 01:27:59,080
Speaker 1: point is that when you talk to regular people on

1342
01:27:59,120 --> 01:28:01,920
Speaker 1: the street, and they be far left liberals or right

1343
01:28:01,920 --> 01:28:07,040
Speaker 1: wing conservatives, whatever they are. Almost universally people think the

1344
01:28:07,080 --> 01:28:09,840
Speaker 1: war and Afghanistan is ridiculous and absurd and that we

1345
01:28:09,840 --> 01:28:11,760
Speaker 1: shouldn't be there anymore. I mean, can you blame them?

1346
01:28:11,800 --> 01:28:17,080
Speaker 1: It's been nineteen freaking years, right, But almost universally in DC,

1347
01:28:17,280 --> 01:28:20,240
Speaker 1: when Trump made that announcement, they came out swinging against it.

1348
01:28:20,320 --> 01:28:24,280
Speaker 1: And it was the same stupid arguments I've heard my

1349
01:28:24,320 --> 01:28:29,240
Speaker 1: whole life, the same dumb crap, and usually it's along

1350
01:28:29,479 --> 01:28:33,559
Speaker 1: The big argument that I always hear a lot is well,

1351
01:28:33,720 --> 01:28:36,200
Speaker 1: we have to fight them over there, so we don't

1352
01:28:36,200 --> 01:28:39,080
Speaker 1: have to fight them here, you know. In other words,

1353
01:28:39,760 --> 01:28:42,360
Speaker 1: we have to go over there otherwise terrorists will find

1354
01:28:42,360 --> 01:28:45,920
Speaker 1: a safe haven in Afghanistan. And I'm like, I don't know, guys.

1355
01:28:46,000 --> 01:28:48,840
Speaker 1: Last I checked, we have a Department of Homeland Security

1356
01:28:48,920 --> 01:28:52,519
Speaker 1: that costs many tens of billions of dollars every year.

1357
01:28:52,520 --> 01:28:55,800
Speaker 1: And you're telling me, you're telling me, BK, we just

1358
01:28:55,920 --> 01:29:00,519
Speaker 1: can't seem to manage to keep murderous Afghanistan terrors out

1359
01:29:00,560 --> 01:29:03,599
Speaker 1: of the United States. Can't be done, just can't be done.

1360
01:29:03,640 --> 01:29:06,760
Speaker 1: B K. Yeah, does that sound stupid? When you say

1361
01:29:06,800 --> 01:29:10,519
Speaker 1: it out loud, like you can't stop the Taliban from

1362
01:29:10,720 --> 01:29:14,360
Speaker 1: coming thousand from thousands of miles away and entering America

1363
01:29:14,520 --> 01:29:18,400
Speaker 1: to commit mayhem. You really, you can't stop that? Huh.

1364
01:29:18,520 --> 01:29:20,800
Speaker 1: It always sounded stupid to me, like we're gonna have

1365
01:29:20,840 --> 01:29:23,800
Speaker 1: like play, you know, caravans of Taliban driving up from

1366
01:29:23,840 --> 01:29:27,080
Speaker 1: Mexico or something, and you know, launching an attack here

1367
01:29:27,080 --> 01:29:29,200
Speaker 1: in San Diego. Right, I'm twenty minutes from the border,

1368
01:29:29,200 --> 01:29:30,559
Speaker 1: so I'll be like, you know, one of the first

1369
01:29:30,960 --> 01:29:34,080
Speaker 1: to first to pick up arms, right. But it's always

1370
01:29:34,120 --> 01:29:36,200
Speaker 1: so stupid, and and you know what, even then, that

1371
01:29:36,320 --> 01:29:38,919
Speaker 1: argument might have worked I don't know, like sixteen seventeen

1372
01:29:39,000 --> 01:29:41,920
Speaker 1: years ago, and it's just not working now and nobody cares.

1373
01:29:44,000 --> 01:29:46,400
Speaker 1: So it is still around, and let's talk about it

1374
01:29:46,400 --> 01:29:48,080
Speaker 1: a little bit, because they just had a big bombing

1375
01:29:48,120 --> 01:29:53,040
Speaker 1: over there, and of course the peace negotiations bigger quotes

1376
01:29:53,080 --> 01:29:58,080
Speaker 1: there are still happening as well. So what about this

1377
01:29:58,600 --> 01:30:06,720
Speaker 1: bombing attack. Well, this was the town of Bamayan, bam Iya,

1378
01:30:07,080 --> 01:30:11,960
Speaker 1: n And this province is home mostly to Shiite Hazaras,

1379
01:30:12,040 --> 01:30:14,800
Speaker 1: a religious and ethnic minority group that has been repeatedly

1380
01:30:14,920 --> 01:30:19,840
Speaker 1: targeted by Islamic State loyalists in the country. Well, twin

1381
01:30:20,000 --> 01:30:24,400
Speaker 1: bombs went off a couple of days ago in a

1382
01:30:24,479 --> 01:30:29,120
Speaker 1: crowded bazaar filled with poor farmers and shopkeepers and killed

1383
01:30:29,120 --> 01:30:33,760
Speaker 1: at least fourteen people, So no end in sight at all.

1384
01:30:35,040 --> 01:30:38,600
Speaker 1: Now they're not sure. They're kind of blaming Isis for

1385
01:30:38,680 --> 01:30:43,400
Speaker 1: this and not the Taliban. And you know, Bamayan was

1386
01:30:43,479 --> 01:30:48,320
Speaker 1: a tourist destination normally. I know it's funny tourist destination Afghanistan,

1387
01:30:48,439 --> 01:30:50,519
Speaker 1: but it is only a thirty minute flight from Kabble

1388
01:30:51,560 --> 01:30:54,800
Speaker 1: and a lot of people often travel there to see

1389
01:30:54,960 --> 01:30:58,439
Speaker 1: what remains of those ancient Buddhist statues. You guys remember those,

1390
01:30:58,560 --> 01:31:01,200
Speaker 1: that's when the talib But those are the Buddhist statues

1391
01:31:01,240 --> 01:31:04,160
Speaker 1: that the Taliban destroyed right before the US invasion in

1392
01:31:04,200 --> 01:31:07,360
Speaker 1: two thousand and one. It used to be seen as

1393
01:31:07,400 --> 01:31:09,280
Speaker 1: one of the few places left in the country where

1394
01:31:09,320 --> 01:31:12,160
Speaker 1: people can walk about without constant fear of being killed

1395
01:31:12,280 --> 01:31:16,400
Speaker 1: or murdered. But fighting in this province has intensified in

1396
01:31:16,520 --> 01:31:20,280
Speaker 1: recent years, and the roads into this province are frequently

1397
01:31:20,360 --> 01:31:23,040
Speaker 1: patrolled by the Taliban, who often pulled people out of

1398
01:31:23,080 --> 01:31:27,640
Speaker 1: their vehicles for questioning or worse. Now November has been

1399
01:31:27,640 --> 01:31:30,599
Speaker 1: a bloody month for civilians in Afghanistan. They've had at

1400
01:31:30,680 --> 01:31:33,280
Speaker 1: least one hundred and sixty four civilians killed so far

1401
01:31:33,400 --> 01:31:42,120
Speaker 1: this month. Horrible. And yes, American troops are leaving more

1402
01:31:42,200 --> 01:31:46,000
Speaker 1: quickly than expected. Those peace talks between the Afghan government

1403
01:31:46,040 --> 01:31:50,040
Speaker 1: and the Taliban have been stalled for weeks, with Afghan

1404
01:31:50,080 --> 01:31:57,400
Speaker 1: officials accusing the insurgency of seemingly little interest in the process,

1405
01:31:57,479 --> 01:31:59,800
Speaker 1: and why would they be interested. They're just waiting it out,

1406
01:32:00,160 --> 01:32:03,320
Speaker 1: waiting for usly, And you know what, like, I'm fine

1407
01:32:03,360 --> 01:32:07,320
Speaker 1: with them believing there's there's no point to this. There

1408
01:32:07,400 --> 01:32:10,040
Speaker 1: hasn't been for many years. What's the mission going to be?

1409
01:32:10,200 --> 01:32:12,120
Speaker 1: What are we going to do over there? You think

1410
01:32:12,200 --> 01:32:15,000
Speaker 1: they're gonna just come around, or we're gonna change Afghanistan

1411
01:32:15,080 --> 01:32:17,360
Speaker 1: the way it is. There's absolutely no reason there. And

1412
01:32:17,360 --> 01:32:19,920
Speaker 1: I was worked up over it, honestly last week talking

1413
01:32:19,920 --> 01:32:23,479
Speaker 1: about this on a podcast because now you start seeing

1414
01:32:23,560 --> 01:32:26,400
Speaker 1: the social justice argument for keeping the troops there. In

1415
01:32:26,520 --> 01:32:28,320
Speaker 1: other words, well, we got to keep the troops there

1416
01:32:28,360 --> 01:32:31,720
Speaker 1: so little girls can go to the school. Yeah, I

1417
01:32:31,840 --> 01:32:35,559
Speaker 1: know they're really trying that, And as I've said many times,

1418
01:32:35,600 --> 01:32:38,920
Speaker 1: you know what I'm sorry that little girls can't go

1419
01:32:38,960 --> 01:32:43,080
Speaker 1: to school because they live in a backwards medieval theocracy.

1420
01:32:43,760 --> 01:32:46,200
Speaker 1: I'm sorry for that. Does that mean I want to

1421
01:32:46,240 --> 01:32:48,640
Speaker 1: send more of my friends to go get blown up

1422
01:32:48,680 --> 01:32:51,280
Speaker 1: over there? Nope? Does it mean I want to send

1423
01:32:51,360 --> 01:32:53,839
Speaker 1: more of my friends to go have years of combat

1424
01:32:53,880 --> 01:32:58,040
Speaker 1: and Afghanistan and then slowly come home and deteriorate by

1425
01:32:58,200 --> 01:33:03,040
Speaker 1: using drugs and alcohol to help their PTSD crippling depression. No,

1426
01:33:03,200 --> 01:33:05,599
Speaker 1: I don't. I have no interest in it. Again. Those

1427
01:33:05,720 --> 01:33:07,320
Speaker 1: arguments might have worked on me a long time ago,

1428
01:33:07,360 --> 01:33:14,639
Speaker 1: down anymore, so what else? Well? Also a big problem

1429
01:33:15,200 --> 01:33:18,439
Speaker 1: is that Afghan officials are bracing themselves for news that

1430
01:33:18,479 --> 01:33:21,719
Speaker 1: they would receive less international aid than in year's past.

1431
01:33:23,520 --> 01:33:26,120
Speaker 1: The last two times they had these conferences where they

1432
01:33:26,280 --> 01:33:30,479
Speaker 1: sought international aid, one was in Tokyo in twenty twelve

1433
01:33:30,680 --> 01:33:32,519
Speaker 1: and the other two the other one was in Brussels

1434
01:33:32,560 --> 01:33:38,600
Speaker 1: in twenty sixteen, and each of those past conferences promised

1435
01:33:38,800 --> 01:33:44,320
Speaker 1: more than fifteen billion dollars in aid each right, And

1436
01:33:44,479 --> 01:33:47,439
Speaker 1: that's relevant because more than fifty percent of the Afghan

1437
01:33:47,520 --> 01:33:51,040
Speaker 1: government's national budget is made up of these international pledges

1438
01:33:51,120 --> 01:33:57,120
Speaker 1: like basically charity. Well, on Tuesday, ministers and diplomats for

1439
01:33:57,200 --> 01:34:01,719
Speaker 1: the latest one from more than sixty countries promised around

1440
01:34:01,800 --> 01:34:06,640
Speaker 1: only twelve billion dollars over the next four years, a

1441
01:34:06,920 --> 01:34:13,000
Speaker 1: reduced amount with harder conditions attached, which include tangible progress

1442
01:34:13,080 --> 01:34:17,559
Speaker 1: towards a peace deal. So right now we have American

1443
01:34:17,600 --> 01:34:20,960
Speaker 1: troop forces in Afghanistan expected to come down to around

1444
01:34:21,160 --> 01:34:23,880
Speaker 1: two thousand, five hundred by the end of January. That

1445
01:34:23,920 --> 01:34:26,760
Speaker 1: would be a cut of almost fifty percent, because it's

1446
01:34:26,760 --> 01:34:29,920
Speaker 1: about four thousand five hundred there right now. Plus god

1447
01:34:30,000 --> 01:34:32,240
Speaker 1: knows how many contractors. I have several friends who are

1448
01:34:32,280 --> 01:34:35,160
Speaker 1: contract security contractors there for various government agencies right now.

1449
01:34:37,400 --> 01:34:43,320
Speaker 1: So these donors who are pledging this money are also

1450
01:34:43,479 --> 01:34:47,479
Speaker 1: insisting that continued aid was contingent on effective reforms to

1451
01:34:47,600 --> 01:34:51,839
Speaker 1: tackle the scourge of corruption. It's never going to happen.

1452
01:34:53,760 --> 01:35:01,000
Speaker 1: It's just not going to happen. Yeah, aside from the

1453
01:35:02,080 --> 01:35:07,679
Speaker 1: Taliban insurgency and isis wreaking havoc in almost every corner

1454
01:35:07,680 --> 01:35:10,120
Speaker 1: of the country and killing dozens of people almost daily.

1455
01:35:10,200 --> 01:35:14,840
Speaker 1: Of course, they're also dealing with the coronavirus, which has

1456
01:35:15,200 --> 01:35:20,040
Speaker 1: set back Afghanistan's economic growth by years according to a

1457
01:35:21,200 --> 01:35:28,280
Speaker 1: recent United Nations report, and international diplomats who themselves are

1458
01:35:28,360 --> 01:35:30,920
Speaker 1: hurting right by the coronavirus, and you know they don't

1459
01:35:30,960 --> 01:35:32,600
Speaker 1: have a lot of money laying around that they can

1460
01:35:32,680 --> 01:35:37,439
Speaker 1: just give Afghanistan have obviously grown openly weary of this

1461
01:35:37,600 --> 01:35:41,200
Speaker 1: nineteen year old war and frustrated by the Afghan government's

1462
01:35:41,200 --> 01:35:44,960
Speaker 1: repeated promises to combat corruption without fully following through. And

1463
01:35:45,040 --> 01:35:47,599
Speaker 1: they never will. That's just not the way they do business.

1464
01:35:47,720 --> 01:35:51,320
Speaker 1: The sooner we realize that, the sooner we can get

1465
01:35:51,400 --> 01:35:53,320
Speaker 1: out of there and let them figure it out for themselves.

1466
01:35:53,360 --> 01:35:54,920
Speaker 1: That's the only way that's going to happen. They got

1467
01:35:55,000 --> 01:35:57,760
Speaker 1: to figure it out for themselves. That's the bottom line.

1468
01:35:58,080 --> 01:36:00,240
Speaker 1: And again, your argument might have had an argue it

1469
01:36:00,320 --> 01:36:03,240
Speaker 1: maybe eighteen years ago. Not anymore. I'm sick of it.

1470
01:36:03,320 --> 01:36:05,320
Speaker 1: I don't want to hear it anymore. Get them out

1471
01:36:05,400 --> 01:36:21,280
Speaker 1: now more. After this on the Jesse Kelly Show, wake

1472
01:36:21,360 --> 01:36:27,120
Speaker 1: up and text, text and eat, Text and catch the bus,

1473
01:36:28,560 --> 01:36:32,800
Speaker 1: text and miss your stop. Wait wait wait, Text and

1474
01:36:32,920 --> 01:36:38,320
Speaker 1: be late to work sorry late, Text and work, Text

1475
01:36:38,400 --> 01:36:42,599
Speaker 1: and pretend to work, Text and x surprised when someone

1476
01:36:42,680 --> 01:36:45,960
Speaker 1: calls you out for not working. Maybe text and meet

1477
01:36:46,040 --> 01:36:48,080
Speaker 1: up with a friend you haven't seen in forever, Hi,

1478
01:36:49,439 --> 01:36:51,599
Speaker 1: Text and complain that they're on their phone the whole time.

1479
01:36:53,240 --> 01:36:55,080
Speaker 1: Text and listen to them complain that you're on your

1480
01:36:55,120 --> 01:37:01,040
Speaker 1: phone the whole time, text and whatever. But when you

1481
01:37:01,120 --> 01:37:03,519
Speaker 1: get behind the wheel, give your phone to a passenger,

1482
01:37:03,960 --> 01:37:07,360
Speaker 1: put it in the glove box. Just don't text and drive.

1483
01:37:08,240 --> 01:37:11,960
Speaker 1: Visit stop texts Stop rerex dot org. A public service

1484
01:37:12,000 --> 01:37:14,559
Speaker 1: announcement brought to you by the National Highway Traffic Safety

1485
01:37:14,560 --> 01:37:43,559
Speaker 1: Administration and the ad Council. All right, let's keep going

1486
01:37:43,600 --> 01:37:45,760
Speaker 1: on a Jesse Kelly show, b k here filling in.

1487
01:37:46,200 --> 01:37:49,120
Speaker 1: Let's do a key a few more international news stories

1488
01:37:49,120 --> 01:37:51,720
Speaker 1: to you guys. Let's go to Scotland. How about this.

1489
01:37:53,040 --> 01:37:56,000
Speaker 1: Scotland has become the first country in the world to

1490
01:37:56,160 --> 01:38:00,720
Speaker 1: make period products freely available to all who need them,

1491
01:38:00,760 --> 01:38:03,400
Speaker 1: after final approval was given to a landmark piece of

1492
01:38:03,600 --> 01:38:09,120
Speaker 1: legislation in Parliament on Tuesday. This this is you know,

1493
01:38:09,200 --> 01:38:11,519
Speaker 1: and if you're not tracking with what I'm saying, this

1494
01:38:11,720 --> 01:38:14,080
Speaker 1: is a woman's time of the month, if you will

1495
01:38:15,200 --> 01:38:18,080
Speaker 1: now this measures are intended to end what they call

1496
01:38:18,320 --> 01:38:23,360
Speaker 1: period poverty, and that is the you know, for those

1497
01:38:23,439 --> 01:38:29,280
Speaker 1: and less fortunate who cannot afford what they call a

1498
01:38:29,439 --> 01:38:33,400
Speaker 1: prohibitive expense that have left many without access to sanitary

1499
01:38:33,479 --> 01:38:35,920
Speaker 1: products when they need them. This is a big thing,

1500
01:38:36,080 --> 01:38:39,439
Speaker 1: like it's this is funny. It's funny, like this is

1501
01:38:39,520 --> 01:38:41,479
Speaker 1: one of those things. If you ask me, like right now, like,

1502
01:38:41,600 --> 01:38:43,720
Speaker 1: b K, how much is a box of tampons? I

1503
01:38:44,240 --> 01:38:46,400
Speaker 1: would have no idea. It could be fifty cents and

1504
01:38:46,479 --> 01:38:48,720
Speaker 1: it could be five hundred bucks. I honestly like, I'm

1505
01:38:48,840 --> 01:38:54,320
Speaker 1: totally clueless. I didn't think they were maybe I can't

1506
01:38:54,360 --> 01:38:59,799
Speaker 1: imagine they're that expensive. But this is what they decided

1507
01:38:59,840 --> 01:39:06,360
Speaker 1: they wanted to do and this kind of happened quickly.

1508
01:39:06,520 --> 01:39:10,080
Speaker 1: A draft bill received initial approvement in Parliament earlier this year,

1509
01:39:11,560 --> 01:39:14,599
Speaker 1: but this week the vote saw the measure officially pass

1510
01:39:15,600 --> 01:39:18,160
Speaker 1: Now two years ago, Scotland also made history when it

1511
01:39:18,240 --> 01:39:22,559
Speaker 1: began providing free sanitary products to students at schools, colleges

1512
01:39:22,600 --> 01:39:28,160
Speaker 1: and universities through a government program. Wales and England followed

1513
01:39:28,280 --> 01:39:33,160
Speaker 1: last year with similar programs that provide free sanitary products

1514
01:39:33,200 --> 01:39:37,799
Speaker 1: and schools. Let's see. The new law in Scotland builds

1515
01:39:37,880 --> 01:39:41,200
Speaker 1: upon the earlier measure, introducing a legal right of free

1516
01:39:41,280 --> 01:39:47,680
Speaker 1: access to tampons and sanitary pads in schools, colleges, universities,

1517
01:39:47,720 --> 01:39:52,400
Speaker 1: and all other public buildings. Let me see. Of course,

1518
01:39:52,520 --> 01:39:55,519
Speaker 1: you know, as a capitalist, we know nothing's free. Right,

1519
01:39:55,560 --> 01:39:59,600
Speaker 1: It's not free, it's being bade, it's being paid for

1520
01:39:59,760 --> 01:40:06,160
Speaker 1: by the taxpayers. Of course. Let's see. I'm just I'm talking.

1521
01:40:06,400 --> 01:40:08,759
Speaker 1: I want to see, like, how many for how many people?

1522
01:40:08,800 --> 01:40:15,240
Speaker 1: This is like an actually expensive Well, they say there are.

1523
01:40:15,960 --> 01:40:20,280
Speaker 1: It's not just about the costs. They say that there

1524
01:40:20,280 --> 01:40:23,400
Speaker 1: are a variety of circumstances that make menstruation a difficult

1525
01:40:23,439 --> 01:40:28,120
Speaker 1: experience for women and girls, including poverty, homelessness, abuse of relationships,

1526
01:40:28,160 --> 01:40:30,160
Speaker 1: and some health conditions. Oh and then they throw in

1527
01:40:30,240 --> 01:40:35,800
Speaker 1: the transgender thing as well. They said almost a third

1528
01:40:35,960 --> 01:40:39,599
Speaker 1: of girls and women between ages fourteen and twenty one

1529
01:40:40,200 --> 01:40:45,320
Speaker 1: encountered problems either affording or accessing sanitary products during the

1530
01:40:45,400 --> 01:40:50,639
Speaker 1: first national lockdown this year. Really, man, that's a lot

1531
01:40:52,120 --> 01:40:54,599
Speaker 1: that is during the lockdown that's not in normal times.

1532
01:40:54,640 --> 01:40:58,600
Speaker 1: I should emphasize that. So okay, well, very good, Just

1533
01:40:58,720 --> 01:41:03,120
Speaker 1: let's let's make everything free. Why not? Now let's turn

1534
01:41:03,520 --> 01:41:07,559
Speaker 1: to Africa. I would I'm pretty sure I'm like one

1535
01:41:07,560 --> 01:41:10,599
Speaker 1: of the few podcasts that covers Africa and what's going

1536
01:41:10,640 --> 01:41:12,640
Speaker 1: on in Africa on a daily basis. I know a

1537
01:41:12,680 --> 01:41:15,000
Speaker 1: lot of you guys will probably never hear this again,

1538
01:41:15,160 --> 01:41:18,800
Speaker 1: but you know, it's a huge continent, it's important, and

1539
01:41:18,880 --> 01:41:20,320
Speaker 1: it's the fact that we don't talk about it very

1540
01:41:20,400 --> 01:41:23,599
Speaker 1: much as a disgrace. So what's going on in Uganda

1541
01:41:23,800 --> 01:41:27,559
Speaker 1: right now? They've got some rioting going on over there.

1542
01:41:28,600 --> 01:41:33,439
Speaker 1: So you Gandan authorities have charged an opposition leader and

1543
01:41:33,600 --> 01:41:39,679
Speaker 1: presidential contender with breaching coronavirus rules and they did release

1544
01:41:39,800 --> 01:41:41,920
Speaker 1: him from jail, but this is two days after they

1545
01:41:42,040 --> 01:41:46,160
Speaker 1: arrested him, and that arrest sparked protest nationwide that led

1546
01:41:46,200 --> 01:41:49,360
Speaker 1: to the deaths of at least twenty eight people. Dude,

1547
01:41:50,400 --> 01:41:54,400
Speaker 1: that's how you know you're a big deal. Is how many,

1548
01:41:54,560 --> 01:41:58,519
Speaker 1: if dozens of people die when you're arresting you. I mean,

1549
01:41:58,760 --> 01:42:01,760
Speaker 1: you know, man, know you really made it right there. Like,

1550
01:42:01,880 --> 01:42:04,040
Speaker 1: if I ever get hauled off, I want like at

1551
01:42:04,160 --> 01:42:06,799
Speaker 1: least a dozen people to be killed in the ensuing riots.

1552
01:42:06,960 --> 01:42:09,799
Speaker 1: That way I will know that my legacy is secure.

1553
01:42:12,040 --> 01:42:15,880
Speaker 1: So I'm not sure how you pronounced this name of

1554
01:42:15,960 --> 01:42:19,240
Speaker 1: the candidate who has arrested. His name is I'm gonna

1555
01:42:19,280 --> 01:42:25,080
Speaker 1: go Bobby Wine bo b I first name Wine Wi

1556
01:42:25,360 --> 01:42:32,360
Speaker 1: n E. So he looked kind of worn out. He was.

1557
01:42:32,479 --> 01:42:36,560
Speaker 1: He did arrive in court over the weekend and he

1558
01:42:36,760 --> 01:42:43,080
Speaker 1: seemed determined to stay with his position to take on

1559
01:42:43,360 --> 01:42:49,519
Speaker 1: the President of Uganda who is named Yoweri Museveni and

1560
01:42:49,760 --> 01:42:57,400
Speaker 1: they have ruled Uganda since nineteen eighty six. Oh, Bobby Wine,

1561
01:42:57,439 --> 01:43:00,560
Speaker 1: that's not his real name, okay. His real name is

1562
01:43:00,680 --> 01:43:09,559
Speaker 1: Robert who tough one, Robert Kiyagulani. So he was arrested

1563
01:43:09,680 --> 01:43:13,000
Speaker 1: last Wednesday in the Eastern district as he prepared to

1564
01:43:13,080 --> 01:43:16,439
Speaker 1: hold a campaign rally. Well. Authorities said his campaign rally

1565
01:43:16,640 --> 01:43:23,280
Speaker 1: violated coronavirus safety guidelines for political campaigns, so he was

1566
01:43:23,320 --> 01:43:25,080
Speaker 1: shoved into a police fan. They took him to a

1567
01:43:25,160 --> 01:43:28,360
Speaker 1: police station and his campaign team said he was denied

1568
01:43:28,520 --> 01:43:31,840
Speaker 1: access to lawyers, doctors or family members for almost two days.

1569
01:43:31,880 --> 01:43:39,120
Speaker 1: So then the violence came out. And it started just

1570
01:43:39,400 --> 01:43:42,320
Speaker 1: over a week after campaigns for the general election began

1571
01:43:42,439 --> 01:43:47,160
Speaker 1: and two months before. Over seventeen point six million Ugandans

1572
01:43:48,080 --> 01:43:51,240
Speaker 1: are set to cast their ballots at more than thirty

1573
01:43:51,320 --> 01:43:54,040
Speaker 1: four thousand polling stations. You know, you know it's funny,

1574
01:43:54,160 --> 01:43:59,120
Speaker 1: I bet you anything that Uganda has their votes counted

1575
01:43:59,560 --> 01:44:02,280
Speaker 1: way faster than a bunch of states in America. How

1576
01:44:02,360 --> 01:44:05,360
Speaker 1: funny is that? I bet you guys right now challenge me,

1577
01:44:05,439 --> 01:44:11,080
Speaker 1: take me up on that. So Bobby Wine is thirty

1578
01:44:11,160 --> 01:44:17,920
Speaker 1: eight years old, the president Musavenni is seventy six. Oh okay.

1579
01:44:18,280 --> 01:44:22,000
Speaker 1: Wine was originally a musician and he rose to the

1580
01:44:22,120 --> 01:44:25,200
Speaker 1: spotlight for his songs accusing the president and his government

1581
01:44:25,240 --> 01:44:29,799
Speaker 1: of limiting freedoms and being an obstacle to Uganda's progress.

1582
01:44:29,800 --> 01:44:31,760
Speaker 1: So in twenty seventeen he decided to run for a

1583
01:44:31,800 --> 01:44:37,000
Speaker 1: seat in parliament and he won. And he won his

1584
01:44:37,120 --> 01:44:40,120
Speaker 1: seat in parliament just as the parliament there passed a

1585
01:44:40,280 --> 01:44:44,360
Speaker 1: bill that eliminated the presidential age limit of seventy five,

1586
01:44:44,520 --> 01:44:48,320
Speaker 1: which effectively paved the way for mister Musavenni to run

1587
01:44:48,439 --> 01:44:54,639
Speaker 1: for a sixth term. And authorities had arrested Wine several

1588
01:44:54,800 --> 01:44:57,840
Speaker 1: times in the past, but this time when he was

1589
01:44:57,960 --> 01:45:03,080
Speaker 1: arrested last week, demonstrations and rioting erupted across the capital

1590
01:45:03,120 --> 01:45:06,040
Speaker 1: of Kampala and in major cities, with the video footage

1591
01:45:06,520 --> 01:45:11,760
Speaker 1: showing burned tires and block roads. Damp's I mean, you

1592
01:45:11,840 --> 01:45:14,800
Speaker 1: know what, I's it's kind of funny, like when you

1593
01:45:14,960 --> 01:45:17,160
Speaker 1: look at all these like rioting in like you know,

1594
01:45:17,479 --> 01:45:19,800
Speaker 1: the countries that are not as well off as the

1595
01:45:19,920 --> 01:45:22,640
Speaker 1: United States, especially in like the Middle East more so.

1596
01:45:23,600 --> 01:45:25,519
Speaker 1: But you know, it is crazy. They get out there,

1597
01:45:26,280 --> 01:45:28,599
Speaker 1: you know, I gotta hand it to them. They get

1598
01:45:28,680 --> 01:45:31,160
Speaker 1: pissed off and they get out there. I mean, I

1599
01:45:31,240 --> 01:45:33,040
Speaker 1: remember on the podcast a couple of months ago and

1600
01:45:33,080 --> 01:45:35,400
Speaker 1: they had those like riots and like Lebanon, they were

1601
01:45:35,439 --> 01:45:38,240
Speaker 1: like rioting in like it was over like a ten

1602
01:45:38,479 --> 01:45:41,360
Speaker 1: cent tax or something like that, and they were like

1603
01:45:41,640 --> 01:45:44,800
Speaker 1: burning down buildings over it. I'm like, you gotta hand

1604
01:45:44,880 --> 01:45:47,760
Speaker 1: it to them. Many do get after it, don't they.

1605
01:45:50,800 --> 01:45:54,519
Speaker 1: So Wines party is called the National Unity Platform, and

1606
01:45:54,640 --> 01:45:58,960
Speaker 1: the authorities did accuses party of organizing the violence and

1607
01:45:59,080 --> 01:46:04,200
Speaker 1: using social media to so discord. Meanwhile, Human Rights Watch

1608
01:46:04,280 --> 01:46:06,960
Speaker 1: said that the government, the ruling government, was using COVID

1609
01:46:07,040 --> 01:46:10,040
Speaker 1: nineteen measures to crack down on the opposition and media,

1610
01:46:10,760 --> 01:46:13,400
Speaker 1: and called on authorities to investigate the killings and allow

1611
01:46:13,520 --> 01:46:18,599
Speaker 1: for peaceful gatherings. All right, very good, keep it up,

1612
01:46:20,080 --> 01:46:23,120
Speaker 1: all right, and then back here, Well, I really don't

1613
01:46:23,160 --> 01:46:25,040
Speaker 1: have too much time, but I did want to note

1614
01:46:25,240 --> 01:46:29,519
Speaker 1: that the ex president of France is going on trial.

1615
01:46:29,600 --> 01:46:32,800
Speaker 1: It just started that's the former French president Nicholas Sarkozy.

1616
01:46:33,560 --> 01:46:35,840
Speaker 1: He appeared in a Paris courtroom on Monday to face

1617
01:46:36,000 --> 01:46:40,439
Speaker 1: charges of corruption and influence pedaling. That's fascinating. We'll get

1618
01:46:40,439 --> 01:46:42,400
Speaker 1: into this a little bit when we come back from

1619
01:46:42,439 --> 01:46:45,360
Speaker 1: the break on the Jesse Kelly Show. Stay right there, guys.

1620
01:47:09,880 --> 01:47:12,880
Speaker 1: One in three adults has pre diabetes. One in three.

1621
01:47:13,200 --> 01:47:16,599
Speaker 1: That means it could be you, your football buddy, your

1622
01:47:16,800 --> 01:47:21,519
Speaker 1: fruitball buddy, or you your best man, you're worst man,

1623
01:47:22,360 --> 01:47:26,519
Speaker 1: you you're a dog walker, you're a cat jugger. While

1624
01:47:26,640 --> 01:47:29,920
Speaker 1: one in three adults has pre diabetes. With early diagnosis,

1625
01:47:30,000 --> 01:47:32,760
Speaker 1: pre diabetes can be reversed. Take the risk test at

1626
01:47:32,840 --> 01:47:35,560
Speaker 1: do I have pre diabetes dot org? That's do I

1627
01:47:35,680 --> 01:47:39,720
Speaker 1: have pre diabetes dot org? Wait did they just say

1628
01:47:39,800 --> 01:47:42,840
Speaker 1: one in three adults has pre diabetes. That's thirty three

1629
01:47:42,840 --> 01:47:45,240
Speaker 1: point three three three percent of adults. That means it

1630
01:47:45,320 --> 01:47:48,200
Speaker 1: could be me my boss or my boss's boss, or

1631
01:47:48,280 --> 01:47:51,559
Speaker 1: me my favorite sister or my other sister. That's seven

1632
01:47:51,640 --> 01:47:54,920
Speaker 1: members of my twenty one person romantic book club. Wait,

1633
01:47:55,000 --> 01:47:58,120
Speaker 1: the one in three could be me my karaoke partner Carol,

1634
01:47:58,360 --> 01:48:01,760
Speaker 1: or my karaoke the enemy, Jeff. I'm going to take

1635
01:48:01,840 --> 01:48:04,280
Speaker 1: the risk test that do I have pre diabetes? Dot

1636
01:48:04,400 --> 01:48:06,760
Speaker 1: org brought to you by the AD Council and it's

1637
01:48:06,760 --> 01:48:18,000
Speaker 1: Pre Diabetes Awareness partners. Back here on the Jesse Kelly Show,

1638
01:48:18,080 --> 01:48:20,200
Speaker 1: b K here sitting in a guys. Before the break,

1639
01:48:20,280 --> 01:48:23,920
Speaker 1: I had mentioned that Nicholas Sarkozy, the former president of France,

1640
01:48:24,840 --> 01:48:31,559
Speaker 1: was going on trial for corruption. Just a quick facts

1641
01:48:31,600 --> 01:48:34,639
Speaker 1: on Sarkozy. He's sixty five. He was president of France

1642
01:48:34,720 --> 01:48:38,800
Speaker 1: from two thousand and seven to twenty twelve. He is

1643
01:48:38,840 --> 01:48:42,559
Speaker 1: accused of trying to illegally obtain information on another legal

1644
01:48:42,680 --> 01:48:46,000
Speaker 1: case against him from a judge in return for promises

1645
01:48:46,080 --> 01:48:49,760
Speaker 1: to use his influence to secure a prestigious offer a

1646
01:48:49,920 --> 01:48:53,960
Speaker 1: job for that judge. Now only one other president recent

1647
01:48:54,040 --> 01:48:57,679
Speaker 1: French history has been put on trial. That was Jacques Chirac.

1648
01:48:58,439 --> 01:49:02,680
Speaker 1: He was convicted in twenty eleven for embezzling and misusing

1649
01:49:02,800 --> 01:49:07,720
Speaker 1: public funds when he was mayor of Paris. He was

1650
01:49:07,800 --> 01:49:10,280
Speaker 1: the first French head of state to stand trial since

1651
01:49:10,920 --> 01:49:15,519
Speaker 1: Marshal Philippe Petin was found guilty of treason at the

1652
01:49:15,640 --> 01:49:18,439
Speaker 1: end of World War Two for collaborating with Nazi Germany

1653
01:49:19,080 --> 01:49:25,599
Speaker 1: got into crazy, oh man, that's great. Under French law,

1654
01:49:25,680 --> 01:49:28,400
Speaker 1: a person convicted of corruption can face up to ten

1655
01:49:28,479 --> 01:49:31,559
Speaker 1: years in prison and a fine of one million euro

1656
01:49:33,000 --> 01:49:37,400
Speaker 1: Sarkozy is a what they call a conservative politician who

1657
01:49:37,520 --> 01:49:40,200
Speaker 1: lost his bid for reelection in twenty twelve and then

1658
01:49:40,200 --> 01:49:42,479
Speaker 1: he tried to come back in twenty sixteen, but that

1659
01:49:43,280 --> 01:49:48,240
Speaker 1: didn't really work out for him. So last month prosecutors

1660
01:49:48,240 --> 01:49:50,120
Speaker 1: added a new charge against him in one of the

1661
01:49:50,200 --> 01:49:52,600
Speaker 1: longest running in the most serious cases against him, and

1662
01:49:52,720 --> 01:49:55,960
Speaker 1: that involved accusations that his two thousand and seven campaign

1663
01:49:56,120 --> 01:49:59,680
Speaker 1: received illegal Libyan financing from the regime of the now

1664
01:50:00,120 --> 01:50:03,920
Speaker 1: ed strongman, Colonel Moamar Kadapi. Damn, what was this guy

1665
01:50:04,040 --> 01:50:10,200
Speaker 1: up to? Crazy? Oh, France got to love him? All right,

1666
01:50:10,280 --> 01:50:13,680
Speaker 1: let's do a some coronavirus news. I know, aren't you

1667
01:50:13,720 --> 01:50:16,320
Speaker 1: guys sick of this? So I almost said it. I

1668
01:50:16,479 --> 01:50:18,519
Speaker 1: almost said it, right, I almost said the S word.

1669
01:50:18,760 --> 01:50:21,080
Speaker 1: Sick of this s is what I almost just said.

1670
01:50:21,800 --> 01:50:24,840
Speaker 1: God knows, I am sick of it. And it's getting worse.

1671
01:50:24,920 --> 01:50:28,519
Speaker 1: In California, we're going backwards. It's right. Ce La County

1672
01:50:28,600 --> 01:50:31,439
Speaker 1: now has gone backwards. Now they've decided to ban outdoor

1673
01:50:31,520 --> 01:50:34,120
Speaker 1: dining as well, even though they have zero science to

1674
01:50:34,200 --> 01:50:38,559
Speaker 1: show that any like most, any number of cases came

1675
01:50:38,560 --> 01:50:43,600
Speaker 1: out from people eating and restaurants. It just didn't happen anyway. Worldwide,

1676
01:50:43,640 --> 01:50:48,679
Speaker 1: we're looking at sixty million, ninety nine thousand, seven hundred

1677
01:50:48,680 --> 01:50:51,920
Speaker 1: and seventy one confirmed coronavirus cases and that is a

1678
01:50:52,200 --> 01:50:56,240
Speaker 1: one million, four hundred and fourteen thousand, six hundred and

1679
01:50:56,320 --> 01:51:03,120
Speaker 1: twenty one deaths. Crazy. Now in America we're looking at

1680
01:51:03,560 --> 01:51:06,479
Speaker 1: two hundred and sixty five, eight hundred ninety one deaths

1681
01:51:06,960 --> 01:51:12,360
Speaker 1: and our total case count is closing in on thirteen million.

1682
01:51:13,560 --> 01:51:16,360
Speaker 1: So what are some of the updates. Of course, the

1683
01:51:16,400 --> 01:51:20,360
Speaker 1: big Thanksgiving holiday, you know that's been going on. Well,

1684
01:51:22,560 --> 01:51:27,759
Speaker 1: people are seeming to stay home, but twenty seven percent

1685
01:51:27,800 --> 01:51:31,400
Speaker 1: of Americans do plan to dine with people outside their household.

1686
01:51:31,479 --> 01:51:35,240
Speaker 1: That was according to a survey team at the request

1687
01:51:35,280 --> 01:51:40,400
Speaker 1: of the New York Times. So Thanksgiving travel, though, is

1688
01:51:40,479 --> 01:51:45,439
Speaker 1: clearly down compared with twenty nineteen. The Triple A has

1689
01:51:45,560 --> 01:51:49,280
Speaker 1: forecast a ten percent overall decline in Thanksgiving travel compared

1690
01:51:49,320 --> 01:51:52,280
Speaker 1: with last year. That's the largest year on your drop

1691
01:51:52,960 --> 01:51:58,840
Speaker 1: since the recession of two thousand and eight. About nine

1692
01:51:59,000 --> 01:52:03,760
Speaker 1: hundred and seventeen thousand people were screened by the Transportation

1693
01:52:03,840 --> 01:52:08,599
Speaker 1: Security Administration on Monday, less than half of the numbers

1694
01:52:08,640 --> 01:52:11,400
Speaker 1: seen on the same day in twenty nineteen. How about that.

1695
01:52:12,800 --> 01:52:15,920
Speaker 1: But I think a lot of people are driving now.

1696
01:52:16,000 --> 01:52:19,200
Speaker 1: Airlines are struggling from a dramatic decline into demand that

1697
01:52:19,280 --> 01:52:24,800
Speaker 1: has forced them to drop flights. Cancelations are spiking. A

1698
01:52:24,960 --> 01:52:28,839
Speaker 1: spokeswoman for American Airlines for America, which is an industry

1699
01:52:28,880 --> 01:52:33,599
Speaker 1: trade group, said that the airlines are burning one hundred

1700
01:52:33,600 --> 01:52:36,800
Speaker 1: and eighty million dollars in cash every single day just

1701
01:52:37,040 --> 01:52:43,439
Speaker 1: to stay operating. Wow, Nutty, I'm looking at a map

1702
01:52:43,560 --> 01:52:49,040
Speaker 1: the hotspot for the coronavirus. It's mostly in the Upper Midwest.

1703
01:52:49,120 --> 01:52:57,000
Speaker 1: It's a lot of like North Dakota's getting hit hard, Wyoming, Montana, Minnesota. Now,

1704
01:52:57,040 --> 01:53:00,840
Speaker 1: the fourteen day change in new cases is up forty

1705
01:53:00,920 --> 01:53:04,640
Speaker 1: nine percent. The fourteen day change in new deaths is

1706
01:53:04,720 --> 01:53:13,200
Speaker 1: up sixty two percent. New Mexico the case riser or

1707
01:53:13,720 --> 01:53:17,640
Speaker 1: cases or skyrocketing as well now as far as California

1708
01:53:17,680 --> 01:53:22,439
Speaker 1: out here. California reported seventeen thousand, six hundred ninety four

1709
01:53:22,560 --> 01:53:27,120
Speaker 1: new cases just on Monday, well more than it or

1710
01:53:27,200 --> 01:53:29,800
Speaker 1: any other state had ever done before. But I see

1711
01:53:29,880 --> 01:53:31,880
Speaker 1: The thing is, though, guys, we're being we're testing a

1712
01:53:31,960 --> 01:53:34,200
Speaker 1: lot more. Did you see the pictures on social media

1713
01:53:34,200 --> 01:53:36,680
Speaker 1: of the people lined up at Dodger Stadium. We never

1714
01:53:36,800 --> 01:53:40,599
Speaker 1: saw that in March. People are waiting like hours in line,

1715
01:53:40,680 --> 01:53:43,240
Speaker 1: probably because they wanted to, like you know, assure their

1716
01:53:43,320 --> 01:53:46,160
Speaker 1: relatives that oh it's okay, I just got tested them negative.

1717
01:53:46,200 --> 01:53:49,559
Speaker 1: But there's like thousands and thousands of cars getting lined

1718
01:53:49,640 --> 01:53:54,160
Speaker 1: up at Dodger Stadium to get tested. So yes, the

1719
01:53:54,280 --> 01:53:57,840
Speaker 1: cases are increasing because we're testing like tons and tons

1720
01:53:57,960 --> 01:54:01,880
Speaker 1: and tons. And then of course you all saw I

1721
01:54:01,960 --> 01:54:06,360
Speaker 1: did enjoy last week. Stupid Gavin Newsom was roundly mocked

1722
01:54:06,640 --> 01:54:10,559
Speaker 1: in the national media for that stupid French Laundry dinner

1723
01:54:10,680 --> 01:54:13,120
Speaker 1: he went to. If you don't know, French Laundry is

1724
01:54:13,160 --> 01:54:16,920
Speaker 1: a very fancy restaurant in Wine Country in northern California,

1725
01:54:17,640 --> 01:54:22,240
Speaker 1: and stupid Gavin Newsom, my governor, was caught going there

1726
01:54:22,360 --> 01:54:25,800
Speaker 1: in a room with a birthday party and there was

1727
01:54:25,840 --> 01:54:28,800
Speaker 1: no social distancing and nobody was wearing masks, and he

1728
01:54:28,920 --> 01:54:33,160
Speaker 1: got busted. And the funny thing was when they announced

1729
01:54:33,280 --> 01:54:35,480
Speaker 1: that the state was going backwards and going to put

1730
01:54:35,520 --> 01:54:38,440
Speaker 1: all these counties back in the most restrictive tier. Gavin

1731
01:54:38,560 --> 01:54:41,680
Speaker 1: Newsom was so ashamed and he didn't want to answer

1732
01:54:41,680 --> 01:54:44,920
Speaker 1: any questions. He sent out his doctor to make the announcement,

1733
01:54:44,960 --> 01:54:47,400
Speaker 1: even though he had done all the previous press conferences.

1734
01:54:47,440 --> 01:54:50,640
Speaker 1: He was too cowardly to face the media. Made me

1735
01:54:50,760 --> 01:54:56,760
Speaker 1: want to puke yup. Officials did announce a curfew, right,

1736
01:54:56,880 --> 01:54:59,840
Speaker 1: and there's supposedly a curfew in San Diego. Nobody's sup

1737
01:55:00,000 --> 01:55:04,200
Speaker 1: hosts to basically go outside from like, I don't ten

1738
01:55:04,280 --> 01:55:06,680
Speaker 1: pm to five am or something stupid like that. I

1739
01:55:06,720 --> 01:55:14,480
Speaker 1: don't know. So that's basically for counties in the state's

1740
01:55:14,600 --> 01:55:17,760
Speaker 1: purple reopening tier. That's the most restrictive tier, and that's

1741
01:55:17,800 --> 01:55:24,600
Speaker 1: where basically almost everybody in California lives. Let's see what else.

1742
01:55:24,680 --> 01:55:27,520
Speaker 1: Oregon hit a new daily high over the weekend. Wyoming

1743
01:55:27,680 --> 01:55:33,360
Speaker 1: hit a doune daily high over Monday. Yeah, bars and

1744
01:55:33,480 --> 01:55:36,400
Speaker 1: Pennsylvan Bars and restaurants in Pennsylvania have been ordered by

1745
01:55:36,440 --> 01:55:39,200
Speaker 1: the state to stop selling alcohol at five pm on

1746
01:55:39,360 --> 01:55:45,400
Speaker 1: Wednesday jess in an effort to head off unembitded, uninhibited

1747
01:55:45,520 --> 01:55:50,920
Speaker 1: pre Thanksgiving gatherings. This is just like petty tyrants. You know, nobody,

1748
01:55:51,040 --> 01:55:52,760
Speaker 1: I'll say it again, you guys, nobody wants to say

1749
01:55:52,840 --> 01:55:54,520
Speaker 1: us out loud. This is just a big culling of

1750
01:55:54,560 --> 01:55:57,000
Speaker 1: the herd, that's all it is. And it's sad and

1751
01:55:57,080 --> 01:55:59,000
Speaker 1: we should try to protect people. But at the end

1752
01:55:59,000 --> 01:56:00,920
Speaker 1: of the day, your best to fence for not getting

1753
01:56:00,920 --> 01:56:04,160
Speaker 1: any kind of virus is to be jacked, to be tan,

1754
01:56:05,000 --> 01:56:07,720
Speaker 1: to have abs like and this is all. I'm using

1755
01:56:07,920 --> 01:56:11,760
Speaker 1: this to describe myself right now and be in that

1756
01:56:11,880 --> 01:56:15,560
Speaker 1: healthy lifestyle. And sadly, in America, people wonder where it

1757
01:56:15,680 --> 01:56:17,520
Speaker 1: hit so hard because we have a lot of fat

1758
01:56:17,640 --> 01:56:19,720
Speaker 1: slobs in this country who don't take care of themselves

1759
01:56:19,760 --> 01:56:22,200
Speaker 1: and eat crap all day and nobody wants to say

1760
01:56:22,280 --> 01:56:27,600
Speaker 1: us out loud, that's all. It's too bad. You know,

1761
01:56:27,720 --> 01:56:31,920
Speaker 1: I'm watching and when we're putting hundreds and hundreds of

1762
01:56:32,000 --> 01:56:35,120
Speaker 1: people out of business, I'm seeing bars and restaurants, clothes,

1763
01:56:36,080 --> 01:56:40,240
Speaker 1: tons and tons all over the place. Our kids can't

1764
01:56:40,280 --> 01:56:44,280
Speaker 1: go to school. They're coming out now and saying, yeah,

1765
01:56:44,480 --> 01:56:46,320
Speaker 1: they're never going to get this time back. These are

1766
01:56:46,320 --> 01:56:51,560
Speaker 1: the formative years for children. This is doing tremendous damage. Indeed,

1767
01:56:51,640 --> 01:56:55,800
Speaker 1: if you go to my Twitter account at Bravo Kilo Actual,

1768
01:56:55,840 --> 01:56:58,680
Speaker 1: you can say I tweeted out a story of Fairfax

1769
01:56:58,800 --> 01:57:02,200
Speaker 1: County in Virginia's one of the largest school districts there is,

1770
01:57:03,440 --> 01:57:05,840
Speaker 1: and they just did a study and the amount of

1771
01:57:06,120 --> 01:57:10,520
Speaker 1: f's that students are getting shot up, it's like shockingly

1772
01:57:10,640 --> 01:57:13,160
Speaker 1: high because the kids aren't learning. They can't do it.

1773
01:57:13,240 --> 01:57:15,400
Speaker 1: I'm telling you, I have a sister with a young child,

1774
01:57:15,520 --> 01:57:18,360
Speaker 1: and he's not gonna sit still for this zoom nonsense.

1775
01:57:18,520 --> 01:57:20,760
Speaker 1: Like she has to sit right next to him and

1776
01:57:21,000 --> 01:57:23,840
Speaker 1: watch him like a hawk continuously, even for him to

1777
01:57:24,640 --> 01:57:27,280
Speaker 1: be involved a little bit. You know, he's an eight

1778
01:57:27,360 --> 01:57:29,200
Speaker 1: year old boy. You can imagine. You know, he's not

1779
01:57:29,240 --> 01:57:33,280
Speaker 1: gonna sit still for any of this stuff. And the

1780
01:57:33,680 --> 01:57:39,800
Speaker 1: CDC is considering shortening it's recommended quarantine period. Yeah, normally

1781
01:57:40,200 --> 01:57:43,120
Speaker 1: it was fourteen days. They're thinking of scaling it back

1782
01:57:44,160 --> 01:57:51,760
Speaker 1: to a period between one week and ten days. Now,

1783
01:57:52,520 --> 01:57:55,480
Speaker 1: I don't know, there's no it's it's a cost benefit analysis,

1784
01:57:55,560 --> 01:57:58,280
Speaker 1: you guys, And you know it's just there's like no

1785
01:57:58,480 --> 01:58:00,440
Speaker 1: end in sight here. We'll have more in the virus.

1786
01:58:00,480 --> 01:58:09,720
Speaker 1: And I come back after these messages. I like when

1787
01:58:09,760 --> 01:58:12,840
Speaker 1: companies put in the work for me. I like when

1788
01:58:12,920 --> 01:58:16,480
Speaker 1: companies do the research for me. I love CBD. I

1789
01:58:16,600 --> 01:58:20,400
Speaker 1: choose CBD, but I don't I don't know which company

1790
01:58:20,480 --> 01:58:22,880
Speaker 1: is selling me a bunch of garbage and which company

1791
01:58:22,960 --> 01:58:26,600
Speaker 1: is selling me good things. You don't how could we know? Well,

1792
01:58:26,720 --> 01:58:32,080
Speaker 1: Doctors Trusted CBD company, they've been doing natural medicine since

1793
01:58:32,320 --> 01:58:36,360
Speaker 1: nineteen ninety nine. They do know who to trust and

1794
01:58:36,440 --> 01:58:39,960
Speaker 1: who not to trust. And they researched the entire CBD

1795
01:58:40,160 --> 01:58:44,360
Speaker 1: industry and they found the best, highest quality CBD out there.

1796
01:58:45,200 --> 01:58:48,840
Speaker 1: That's the products you get at Doctors Trusted cbd dot Com.

1797
01:58:49,200 --> 01:58:52,440
Speaker 1: They teamed up with B Best Organics. B Best Organics

1798
01:58:52,560 --> 01:58:54,800
Speaker 1: is made in the United States of America and it's

1799
01:58:54,920 --> 01:58:58,240
Speaker 1: certified organic. That tells you all you need to know.

1800
01:58:59,240 --> 01:59:03,560
Speaker 1: Go to doctor Trusted CBD dot com. That's Doctors Trusted

1801
01:59:03,640 --> 01:59:07,200
Speaker 1: CBD dot Com used to promo code Jesse for free

1802
01:59:07,320 --> 01:59:25,760
Speaker 1: shipping and ten off. All. Right, before the break, we

1803
01:59:25,880 --> 01:59:27,920
Speaker 1: were talking about your coronavirus update. I want to talk

1804
01:59:27,920 --> 01:59:30,520
Speaker 1: a little bit about this vaccine. What's the latest. Well,

1805
01:59:30,640 --> 01:59:37,080
Speaker 1: around mid December, six point four million doses of Fiser's

1806
01:59:37,600 --> 01:59:40,920
Speaker 1: COVID nineteen vaccine will be shipped out across the United

1807
01:59:40,960 --> 01:59:46,480
Speaker 1: States in an initial push after it receives an un

1808
01:59:46,720 --> 01:59:51,760
Speaker 1: unexpected emergency authorization. So these first doses are expected to

1809
01:59:51,800 --> 01:59:55,360
Speaker 1: go to healthcare workers and potentially a few other vulnerable groups,

1810
01:59:55,360 --> 01:59:59,120
Speaker 1: and they will be allocated to all fifty states, and

1811
01:59:59,240 --> 02:00:02,000
Speaker 1: the quantity will be based on how many adults live

1812
02:00:02,120 --> 02:00:10,160
Speaker 1: in each jurisdiction. Now, Fiser will ship these doses of

1813
02:00:10,200 --> 02:00:13,800
Speaker 1: the vaccine via ups and FedEx and special coolers packed

1814
02:00:13,840 --> 02:00:17,000
Speaker 1: with dry ice that will hold a minimum of nine

1815
02:00:17,120 --> 02:00:20,960
Speaker 1: hundred and seventy five doses, which must be used within

1816
02:00:21,240 --> 02:00:24,520
Speaker 1: a few weeks, are stored in a very cold freezer

1817
02:00:24,640 --> 02:00:29,640
Speaker 1: for up to six months. Now. Fiser's vaccine was found

1818
02:00:29,680 --> 02:00:32,800
Speaker 1: to be ninety five percent effective in a late stage

1819
02:00:32,920 --> 02:00:39,040
Speaker 1: drug study earlier this month, So that is good, and

1820
02:00:39,120 --> 02:00:40,760
Speaker 1: that's really the only way we're going to get out

1821
02:00:40,800 --> 02:00:44,760
Speaker 1: of this. Another leading it was with a vaccine. Another

1822
02:00:44,880 --> 02:00:48,600
Speaker 1: leading vaccine developer, Moderna, is expected to soon follow Fiser's

1823
02:00:48,720 --> 02:00:53,240
Speaker 1: lead in filing for emergency authorization for its vaccine candidate,

1824
02:00:53,720 --> 02:00:58,240
Speaker 1: which they found to be ninety four point five percent effective.

1825
02:01:01,320 --> 02:01:04,760
Speaker 1: So and then there's a third one for from Astra Zenica.

1826
02:01:05,960 --> 02:01:08,080
Speaker 1: They announced this week that they had zeroed in on

1827
02:01:08,160 --> 02:01:11,680
Speaker 1: a promising dosing plan for their vaccine candidate. Now, all

1828
02:01:11,840 --> 02:01:16,400
Speaker 1: three of these vaccines do require people to get two

1829
02:01:16,560 --> 02:01:21,360
Speaker 1: doses spread several weeks apart. And yeah, that's the way

1830
02:01:21,400 --> 02:01:26,040
Speaker 1: it's going to be. So let's see. And as far

1831
02:01:26,400 --> 02:01:30,640
Speaker 1: as anything else, Oh, this is somewhat related. There's this

1832
02:01:31,080 --> 02:01:33,680
Speaker 1: unemployment scam out here in California, and you know it

1833
02:01:33,760 --> 02:01:35,800
Speaker 1: from the very beginning of this. I was like, I

1834
02:01:35,960 --> 02:01:38,200
Speaker 1: knew when this is all over, when they do an

1835
02:01:38,200 --> 02:01:41,760
Speaker 1: accounting and all this, the fraud is just going to

1836
02:01:41,840 --> 02:01:45,920
Speaker 1: be shocking. And they're already finding this out in California

1837
02:01:47,040 --> 02:01:50,680
Speaker 1: and this is fraudulent, pandemic unemployment claims filed under the

1838
02:01:50,840 --> 02:01:54,080
Speaker 1: names of jail and prison inmates, including more than one

1839
02:01:54,240 --> 02:02:00,560
Speaker 1: hundred on death row. Yeah, that's right. And this has

1840
02:02:00,640 --> 02:02:04,600
Speaker 1: built California out of hundreds of millions of dollars already.

1841
02:02:05,520 --> 02:02:08,320
Speaker 1: They said, this appears to be the most significant fraud

1842
02:02:08,440 --> 02:02:15,280
Speaker 1: on taxpayer funds in California history. In most cases, this

1843
02:02:15,720 --> 02:02:19,160
Speaker 1: task force, that was led by district attorneys around the state,

1844
02:02:20,560 --> 02:02:22,760
Speaker 1: said that these payments were sent in the form of

1845
02:02:22,920 --> 02:02:26,920
Speaker 1: prepaid debit cards to address his designated on the applications.

1846
02:02:29,040 --> 02:02:32,400
Speaker 1: So among the named beneficiaries that were in prison. One

1847
02:02:32,680 --> 02:02:36,080
Speaker 1: was Carrie Stainer. He's a serial killer who murdered four

1848
02:02:36,160 --> 02:02:40,800
Speaker 1: women near Yosemite National Park in nineteen ninety nine. Wayne

1849
02:02:40,920 --> 02:02:43,560
Speaker 1: Ford another serial killer who confessed to at least four

1850
02:02:43,680 --> 02:02:46,080
Speaker 1: murders in nineteen ninety seven and nineteen ninety eight. Northern

1851
02:02:46,160 --> 02:02:51,000
Speaker 1: California a famously Scott Peterson, who was convicted in two

1852
02:02:51,040 --> 02:02:53,360
Speaker 1: thousand and four of the murder of his pregnant wife

1853
02:02:53,480 --> 02:03:00,240
Speaker 1: Lacy and their unborn son. And yes, this is just

1854
02:03:00,360 --> 02:03:03,720
Speaker 1: a it's and we're not alone. California, like many states,

1855
02:03:03,760 --> 02:03:07,720
Speaker 1: has struggled with unemployment abuse during the pandemic because when

1856
02:03:07,800 --> 02:03:10,120
Speaker 1: businesses begin to shut down in the spring, a tidal

1857
02:03:10,200 --> 02:03:15,960
Speaker 1: wave of applications for benefits overwhelmed state unemployment systems, and

1858
02:03:16,200 --> 02:03:21,320
Speaker 1: that delay worsened when Congress created new programs from response

1859
02:03:21,360 --> 02:03:25,160
Speaker 1: to the pandemic that made benefits more generous. So, with

1860
02:03:25,320 --> 02:03:28,560
Speaker 1: millions of Americans out of work, states faced enormous pressure

1861
02:03:28,600 --> 02:03:32,120
Speaker 1: to start paying out benefits quickly. They were largely successful,

1862
02:03:32,200 --> 02:03:36,800
Speaker 1: but of course with quick speed comes lots and lots

1863
02:03:36,840 --> 02:03:41,600
Speaker 1: of fraud. I mean, this is a huge scope. I

1864
02:03:41,680 --> 02:03:47,760
Speaker 1: mean that the scope of this is just massive blast. August,

1865
02:03:47,840 --> 02:03:49,760
Speaker 1: they had a fraud ring operating out of the San

1866
02:03:49,880 --> 02:03:52,879
Speaker 1: Mateo County jail that was broken up after law enforcement

1867
02:03:52,920 --> 02:03:56,800
Speaker 1: officers overheard inmates talking about fake claims being filed on

1868
02:03:56,960 --> 02:04:01,160
Speaker 1: behalf of inmates. In September, the Beverly Hills Police arrested

1869
02:04:01,240 --> 02:04:05,320
Speaker 1: forty four people and seized preloaded debit cards worth more

1870
02:04:05,360 --> 02:04:09,040
Speaker 1: than two point five million dollars in unemployment benefits issued

1871
02:04:09,080 --> 02:04:17,400
Speaker 1: by California Employment Development Department WOW. In October, federal authorities

1872
02:04:17,400 --> 02:04:21,840
Speaker 1: in LA arrested Fontrelle Antonio Baines. He's a rapper who

1873
02:04:21,920 --> 02:04:26,840
Speaker 1: performs as nuke Bizzle. Nuke Bizzle, They arrested him for

1874
02:04:26,880 --> 02:04:30,320
Speaker 1: allegedly using identity stuff to fraudulently obtain more than one

1875
02:04:30,400 --> 02:04:34,800
Speaker 1: point two million dollars in federal pandemic unemployment assistance. Yeah,

1876
02:04:35,040 --> 02:04:37,480
Speaker 1: that was the one too. He probably would have gotten

1877
02:04:37,480 --> 02:04:42,080
Speaker 1: away with it, but the stupid idiot decided to make

1878
02:04:42,160 --> 02:04:47,080
Speaker 1: a YouTube video I Know anything for Cloud Dude. The

1879
02:04:47,240 --> 02:04:51,320
Speaker 1: idiot decided nuke Bizzle decided to make a YouTube video

1880
02:04:51,800 --> 02:04:54,680
Speaker 1: where he's like rapping with his crap music and he's

1881
02:04:54,720 --> 02:04:58,680
Speaker 1: holding up stacks of preloaded debit cards issued by the

1882
02:04:58,840 --> 02:05:05,200
Speaker 1: Employment developm MINT Department while another man wrapped quote. You

1883
02:05:05,400 --> 02:05:12,200
Speaker 1: gotta sell cocaine. I just file a claim end quote. Same. Wow.

1884
02:05:14,480 --> 02:05:17,760
Speaker 1: Part of the problem this task forts was, unlike at

1885
02:05:17,840 --> 02:05:21,520
Speaker 1: least thirty five other states, California doesn't have the technology

1886
02:05:21,600 --> 02:05:24,760
Speaker 1: to cross check its state prison rules and jail rosters

1887
02:05:24,800 --> 02:05:29,120
Speaker 1: against its list of unemployment insurance claimants. Yeah, California, home

1888
02:05:29,160 --> 02:05:32,280
Speaker 1: of Silicon Valley, we don't have that. We don't have

1889
02:05:32,480 --> 02:05:36,480
Speaker 1: the technology. Isn't it embarrassing? We can't pay people out properly?

1890
02:05:37,760 --> 02:05:42,080
Speaker 1: It's ridiculous. No one incite you guys. All right, that's

1891
02:05:42,240 --> 02:05:44,640
Speaker 1: we're gonna come back. One final segment here on the

1892
02:05:44,760 --> 02:06:00,240
Speaker 1: Jesse Gelly Show. Wake up and text, Text and eat,

1893
02:06:01,640 --> 02:06:07,000
Speaker 1: Text and catch the bus, Text and miss your stop. Wait,

1894
02:06:08,080 --> 02:06:12,320
Speaker 1: Text and be late to work, Sorry late, Text and work,

1895
02:06:13,760 --> 02:06:18,080
Speaker 1: Text and pretend to work. Text and xt surprised when

1896
02:06:18,120 --> 02:06:21,720
Speaker 1: someone calls you out for not working. Text and meet

1897
02:06:21,760 --> 02:06:23,800
Speaker 1: up with a friend you haven't seen in forever. Hi,

1898
02:06:25,160 --> 02:06:27,320
Speaker 1: Text and complain that they're on their phone the whole time.

1899
02:06:29,000 --> 02:06:30,800
Speaker 1: Text and listen to them, complain that you're on your

1900
02:06:30,840 --> 02:06:36,760
Speaker 1: phone the whole time. Text and whatever. But when you

1901
02:06:36,840 --> 02:06:39,280
Speaker 1: get behind the wheel, give your phone to a passenger,

1902
02:06:39,720 --> 02:06:42,680
Speaker 1: put it in the glove box. Just don't text and

1903
02:06:42,840 --> 02:06:47,040
Speaker 1: drive the SAIT stop texts, stop rex dot org. A

1904
02:06:47,160 --> 02:06:49,640
Speaker 1: public service announcement brought to you by the National Highway

1905
02:06:49,680 --> 02:06:58,080
Speaker 1: Traffic Safety Administration and the AD Council. All right, guys,

1906
02:06:58,120 --> 02:06:59,520
Speaker 1: thanks a lot for hanging out with me on the

1907
02:06:59,640 --> 02:07:02,160
Speaker 1: Jesse Kelly Show. B K here again, go ahead and

1908
02:07:02,200 --> 02:07:05,000
Speaker 1: follow me on Twitter at Bravoculo Actual and check out

1909
02:07:05,000 --> 02:07:07,720
Speaker 1: that instagram at BK actual and check out the podcast

1910
02:07:07,800 --> 02:07:11,960
Speaker 1: World News with b K. And yes, I did tease

1911
02:07:12,040 --> 02:07:15,680
Speaker 1: this earlier on Jesse's show. Just to wrap up, I

1912
02:07:15,680 --> 02:07:19,640
Speaker 1: always like to finish strong. Here's the headline quote dad

1913
02:07:19,720 --> 02:07:24,080
Speaker 1: of two jailed for having sex with chickens at Acrington farm.

1914
02:07:24,200 --> 02:07:30,320
Speaker 1: He quote this is over in the UK. And yes.

1915
02:07:30,640 --> 02:07:34,600
Speaker 1: Shane Waters, father of two, who had previously been convicted

1916
02:07:34,640 --> 02:07:38,520
Speaker 1: of having sex with the horse and the donkey, admitted

1917
02:07:38,560 --> 02:07:40,760
Speaker 1: in his police interview that he could not control his

1918
02:07:40,960 --> 02:07:45,800
Speaker 1: urges when it came to intercourse with animals. Oh lord,

1919
02:07:46,560 --> 02:07:52,160
Speaker 1: And then yes, he did also admit to having relations

1920
02:07:52,240 --> 02:07:57,040
Speaker 1: with his own dog, a great Dane. That's right. His

1921
02:07:57,200 --> 02:07:59,240
Speaker 1: actions came to the attention to the police after a

1922
02:07:59,320 --> 02:08:03,080
Speaker 1: farmer found for dead and several unwell looking chickens in

1923
02:08:03,120 --> 02:08:06,680
Speaker 1: a shed on his premises, and they went in on

1924
02:08:06,880 --> 02:08:11,080
Speaker 1: all these dead chickens, send them off for invevestigation. And yes,

1925
02:08:11,280 --> 02:08:17,600
Speaker 1: they did find how should I put this delicately like

1926
02:08:17,840 --> 02:08:24,360
Speaker 1: basically stuff from mister Waters inside the chickens. And that's

1927
02:08:24,400 --> 02:08:26,800
Speaker 1: how they kind of went to it. And also they

1928
02:08:26,840 --> 02:08:30,680
Speaker 1: had them on closed circuit television going inside the chicken cube.

1929
02:08:31,040 --> 02:08:36,480
Speaker 1: Imagine imagine finding out your dad did this. Oh dude,

1930
02:08:36,520 --> 02:08:39,600
Speaker 1: you'd have to change your name, move away, grow a beard,

1931
02:08:39,880 --> 02:08:43,680
Speaker 1: cut your air anything. I just can't be associated with that.

1932
02:08:43,760 --> 02:08:46,400
Speaker 1: All right, guys, I'll be back tomorrow as well to

1933
02:08:46,520 --> 02:08:49,360
Speaker 1: fill in for the Jesse Kelly Show. Really appreciate you

1934
02:08:49,520 --> 02:08:59,840
Speaker 1: checking it out. Thanks again, The Jesse Kelly Show, Newton

1935
02:09:00,040 --> 02:09:03,960
Speaker 1: Group Transfer. They are here to help you if you're

1936
02:09:04,080 --> 02:09:08,520
Speaker 1: stuck in a timeshare. These stories from people who have

1937
02:09:08,720 --> 02:09:12,240
Speaker 1: these time shares and can't get out of them, they're shocking.

1938
02:09:12,320 --> 02:09:15,600
Speaker 1: These timeshare companies, not all of them, but so many.

1939
02:09:15,680 --> 02:09:18,000
Speaker 1: They get their hooks into you and you can't give

1940
02:09:18,040 --> 02:09:20,640
Speaker 1: them up. You can't give them up or they'll they'll

1941
02:09:20,680 --> 02:09:24,040
Speaker 1: do things like they charge you thousands of dollars. One girl,

1942
02:09:24,640 --> 02:09:27,920
Speaker 1: she got past her time share when her mother passed away.

1943
02:09:28,440 --> 02:09:30,920
Speaker 1: She gets passed the time share, doesn't want the time share,

1944
02:09:31,000 --> 02:09:34,120
Speaker 1: doesn't use the time share. They tell her she can

1945
02:09:34,160 --> 02:09:37,440
Speaker 1: get out of it for four thousand dollars. She has

1946
02:09:37,520 --> 02:09:39,360
Speaker 1: to come up with a four thousand dollars check. This

1947
02:09:39,600 --> 02:09:42,880
Speaker 1: is not right, it's unjust and Newton Group Transfers is

1948
02:09:42,960 --> 02:09:45,480
Speaker 1: here to help you. If you are in a timeshare

1949
02:09:45,640 --> 02:09:48,720
Speaker 1: and one out or knows someone who is, call eight

1950
02:09:48,800 --> 02:09:52,560
Speaker 1: eight eight eight four five three seven seven three that's

1951
02:09:52,640 --> 02:09:56,080
Speaker 1: eight A eight eight four jesse or go to timeshare

1952
02:09:56,240 --> 02:09:59,000
Speaker 1: jesse dot com Newton Group Transfer They will help you

1953
02:09:59,120 --> 02:09:59,320
Speaker 1: out