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Speaker 1: You don't have to dip forever. You know that, Ryan,

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Speaker 1: you don't have to smoke forever. And the reason I

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Speaker 1: say it like that is I have been that guy.

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Speaker 1: I've been that guy. I dipped for so long, and

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Speaker 1: what would happen is I would decide I'm gonna quit.

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Speaker 1: It's bad for me. I'm gonna quit. I'm a man,

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Speaker 1: I don't need any help. I'm just gonna quit cold turkey.

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Speaker 1: And I would fail time and time and time again.

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Speaker 1: I tried things like the patch, it didn't work, gum,

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Speaker 1: sunflower seeds. I tried at all. It's just a matter

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Speaker 1: of finding the right thing to help you quit. That's

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Speaker 1: Jake's mintschew. Go put in your dip. Just make sure

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Speaker 1: it's Jake's mintchew. It's tobacco free, it's nicotine free, it's

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Speaker 1: even sugar free. And I highly recommend, just a personal choice,

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Speaker 1: I highly recommend their CBD pouches because it really helps

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Speaker 1: take that extra edge off. Get a Jake's mint Chew

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Speaker 1: dot com. That's Jake's mint Chew dot com. Make sure

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Speaker 1: you used to promo code Jesse at check out. When

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Speaker 1: you do that, get ten percent off. This is a

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Speaker 1: Jesse Kelly Show. All right, here we go onto Jesse

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Speaker 1: Kelly Radio show. Hope everybody is having a great week.

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Speaker 1: Jesse does have the day off. He asked me to

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Speaker 1: sit in for him, which of course I was happy

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Speaker 1: to do. It is b K here, host of the

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Speaker 1: World News with b K podcast. If you guys have

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Speaker 1: been listening to Jesse for a while, you've probably heard

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Speaker 1: me come on every Tuesday. And in addition to that,

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Speaker 1: I filled in for Jesse from time to time when

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Speaker 1: he's needed to take a day off, and he asked

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Speaker 1: me to come on here for election Day. I was

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Speaker 1: super happy to do so. Of course, we've got tons

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Speaker 1: to talk about, like usual. Before we get into all

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Speaker 1: that quickly, if you haven't heard me before, just a

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Speaker 1: little bit about myself. Like Jesse, I'm a veteran of

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Speaker 1: the US Armed Forces. I was a Air Force Power

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Speaker 1: Rescueman or PJ as they're commonly called, and I loved

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Speaker 1: that job. It was great, did all the Huyah commandos stuff.

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Speaker 1: And then after that I worked overseas for a long

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Speaker 1: time as a US government contractor for various government agencies

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Speaker 1: doing security stuff. Was in and around the Middle East

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Speaker 1: for many years and kind of been around a little bit,

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Speaker 1: and now I host a podcast and we basically focus

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Speaker 1: mostly on international news and oddities. I've always felt that

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Speaker 1: the international news was something that was criminally neglected in

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Speaker 1: the United States, especially in this day and age of Trump,

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Speaker 1: where everything has to be Trump eccentric. And don't worry,

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Speaker 1: We're going to get into plenty of stuff about the election.

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Speaker 1: I've got a lot of thoughts on that and everything else.

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Speaker 1: But for today, I thought I would start with again

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Speaker 1: some international news, and let's go to this apparent terrorist

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Speaker 1: attack in Austria. And this is over in Vienna. And

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Speaker 1: this attack as of right now, depending on when you

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Speaker 1: listen to this, has left two dead and at least

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Speaker 1: fifteen wounded. So they're saying multiple gunmen opened fire in

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Speaker 1: central Vienna on Monday night, killing at least two people,

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Speaker 1: wounding many others, including a police officer. Now one of

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Speaker 1: the attackers was also killed. As far as the fifteen

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Speaker 1: people wounded, they say at least seven were wounded quite seriously,

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Speaker 1: and Austria's Chancellor Sebastian Kurtz said, quote it is definitely

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Speaker 1: a terror attack. End quote. Now, early Tuesday morning, the

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Speaker 1: Interior Minister Carl Niehammer said that at least one of

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Speaker 1: the attackers was still being sought. He described the perpetrators

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Speaker 1: as heavily armed and dangerous, and indeed you probably saw

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Speaker 1: some of the video floating around on social media, and

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Speaker 1: some of that video is extremely graphic if you haven't

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Speaker 1: seen it already. Now that Vienna police said the attack,

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Speaker 1: which began around eight pm, involved several suspects armed with

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Speaker 1: rifles and those gunmen opened fire six different locations as

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Speaker 1: they made their way through central Vienna. Now, the shooting

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Speaker 1: took place in the heart of the Austrian capital, hours

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Speaker 1: before the midnight start of a national lockdown, one of

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Speaker 1: several being imposed in Europe to stop the spread of

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Speaker 1: the coronavirus. And we'll have a lot of stuff on

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Speaker 1: the coronavirus a little bit later in the show. So

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Speaker 1: as the night wore on, more gunfire was reported elsewhere

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Speaker 1: across Vienna's first district, and police officials described a chaotic situation. Again,

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Speaker 1: if you go on those social media accounts, you can

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Speaker 1: hear all the gunfire being exchanged. And the Chancellor has

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Speaker 1: now said he's called in troops to ensure the security

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Speaker 1: of Austria's official buildings. That way he can free up

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Speaker 1: the police to concentrate fully on the fight against terror.

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Speaker 1: So it appears at this time tensions have eased a

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Speaker 1: little bit as police officers began escorting people who had

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Speaker 1: been trapped in bars and restaurants through a security quarter.

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Speaker 1: But the police are maintaining a heavy presence in the

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Speaker 1: center of the city. I'm just going through this New

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Speaker 1: York Times Live updates page and checking to see what

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Speaker 1: it is. Initially they were thinking this there was a

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Speaker 1: synagogue being targeted, because the president of the Jewish religious

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Speaker 1: community in Austria said on Twitter that the initial shooting

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Speaker 1: had occurred in the immediate vicinity of Vienna's main temple,

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Speaker 1: which is called Oh boy is this is like a

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Speaker 1: German word, It's like seventy five letters long. I'll give

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Speaker 1: it a crack. Let's try Sitan Stettinasse Synagogue. However, it's

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Speaker 1: not clear yet what the intended target or targets of

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Speaker 1: the attackers have been, so these attackers basically struck as Again,

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Speaker 1: these Austrians were kind of hanging outside to enjoy a

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Speaker 1: final night out of the country before the government puts

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Speaker 1: down those new measures to control the pandemic and witnesses said, yeah,

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Speaker 1: you could feel a lot of people wanted to get

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Speaker 1: out one more time before this lockdown started. Now the

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Speaker 1: city halted all subways and trains in central Vienna and

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Speaker 1: basically made everybody sit there and shelter in place. It

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Speaker 1: was pretty nuts again those videos. One video showed people

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Speaker 1: helping a wounded person who was lying in a pool

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Speaker 1: of blood. And I saw another video which I'm not

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Speaker 1: sure if it was a policeman or what, but it

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Speaker 1: was like you can see the gunman walking down the

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Speaker 1: street with his long gun, and you see like a

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Speaker 1: guy kind of like halfway in and halfway out of

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Speaker 1: a doorway with like a pistol, and he kind of

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Speaker 1: reaches out with the pistol and this dude with the

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Speaker 1: rifle just smokes him right there in the spot and

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Speaker 1: just keeps walking. I mean, it was I don't know

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Speaker 1: what the guy was thinking. I hope, I don't know

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Speaker 1: if he was. It looked pretty bad, so I don't

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Speaker 1: I don't know if he survived that or not. On Twitter,

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Speaker 1: the Vienna police were actually pleading with witnesses not to

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Speaker 1: post videos and pictures of social media. But you know

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Speaker 1: how that goes. That's not gonna go over very well. Now,

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Speaker 1: interesting point. Austria has been a target over the year

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Speaker 1: for terrorist attacks, and sometimes religious and political tensions with

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Speaker 1: no clear collection connection to Austria have led to sporadic violence.

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Speaker 1: In nineteen seventy five, a meeting of the Organization of

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Speaker 1: Petroleum Exporting Countries aka OPEC, they had a meeting there

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Speaker 1: in Vienna, and that meeting was stormed by six men

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Speaker 1: with submachine guns who killed three people and took at

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Speaker 1: least sixty hostages. And a group that claimed responsibility on

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Speaker 1: that said that attack was like an act of political contestation,

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Speaker 1: is what they called. It aimed at the alliance between

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Speaker 1: American imperialism and the capitulating reactionary forces in the Arab homeland,

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Speaker 1: you know. And now the people in Vienna are like, well,

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Speaker 1: what the hell's that have to do with us. Further,

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Speaker 1: in nineteen eighty one, a leader of the Austrian Socialist

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Speaker 1: Party was assassinated outside his home by an assailant associated

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Speaker 1: with a militant Palestinian group, and synagogues in Vienna have

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Speaker 1: also been subject to attack. Two people were killed in

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Speaker 1: nineteen eighty one when terrorists attacked a temple with grenades

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Speaker 1: and firearms, and that attack came weeks after two small

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Speaker 1: bombs detonated outside the Israeli embassy, and then just after

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Speaker 1: Christmas in nineteen eighty five, panic engulfed the Vienna airport

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Speaker 1: when three gunmen stormed the check in lounge and opened

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Speaker 1: fire with machine guns, killing three and wounding dozens. Witnesses

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Speaker 1: at that time said the attack began as an Israel

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Speaker 1: Airlines flight was boarding, and that attack appeared to be

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Speaker 1: coordinated with another lal check in ten minutes earlier in Rome.

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Speaker 1: And then from nineteen ninety three to nineteen ninety seven,

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Speaker 1: a series of mail bombs and other explosive devices, including

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Speaker 1: one that wounded the mayor of Vienna, stoked fears of

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Speaker 1: rising neo Nazi terrorism in the country, and the man

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Speaker 1: who is convicted in the attacks there said that his

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Speaker 1: goal had been to create a reunification of German speaking areas.

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Speaker 1: So who really knows what's going on? And this is

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Speaker 1: interesting coming on especially it's just a strange coincidence that

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Speaker 1: this happens on the eve of a nationwide lockdown. And

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Speaker 1: if you've been listening to my podcast, you know that

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Speaker 1: there's all kinds of uprisings going on all over like

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Speaker 1: Italy and Spain, they're all fighting with the cops and

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Speaker 1: Europe is being hit really hard again by the coronavirus.

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Speaker 1: And there's no it doesn't matter if you locked down hard,

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Speaker 1: it doesn't matter if you lockdown not at all. It

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Speaker 1: just seems like the virus is going everywhere and it's

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Speaker 1: just like a crazy coincidence that right on the eve

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Speaker 1: of a lockdown something major would happen like this. So

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Speaker 1: it's not clear what the authorities are going to do

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Speaker 1: and if this is connected in any way to some

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Speaker 1: of the other attacks we've had. Now, speaking of the

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Speaker 1: other attacks we've had, we are going to get into

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Speaker 1: also the France problems and they've had several attacks. Again,

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Speaker 1: if you've been listening to the podcast, you'd know this,

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Speaker 1: and after the break we're going to come back and

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Speaker 1: talk a little bit about that and quickly, you guys,

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Speaker 1: right before the break, you can go ahead and follow

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Speaker 1: me on Twitter at Bravo Kilo Actual for breaking news

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Speaker 1: all over the world throughout the week, and you can

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Speaker 1: check out my Instagram at b k actual. And also

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Speaker 1: the podcast is available on every streaming form you have,

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Speaker 1: you know, whether it's Spotify, iTunes or the rest. So

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Speaker 1: we'll be back with this with more Jesse Kelly show.

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Speaker 1: You need a car shield plan, And my favorite part

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Speaker 1: of car Shield is their auto protection plans. They have

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Speaker 1: lots of them, They have lots of options. They give

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Speaker 1: me options with everything. They give me options on the

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Speaker 1: plan I pick. They give me options on the mechanic

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Speaker 1: I choose, or dealership where I want my stuff done.

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Speaker 1: You get to choose your favorite mechanic I have had.

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Speaker 1: I always have an auto protection plan and you're a

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Speaker 1: fool if you don't. And everyone I've had I was

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Speaker 1: so limited and it's what frustrated me. Something wrong happens

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Speaker 1: to your vehicle, you have to take it in. Well, actually,

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Speaker 1: we don't cover that mechanic. I know you have a

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Speaker 1: long relationship there. We only cover this mechanic and we

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Speaker 1: only cover that dealership. I hate that at not at Carshield.

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Speaker 1: Car Shield gives me flexibility there, and they give me

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Speaker 1: flexibility on the payments. If something happens, go to Carshield

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Speaker 1: dot com. That's Carshield dot com and get your auto

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Speaker 1: protection plan today. Don't forget used to code. Jesse save

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Speaker 1: ten percent a deductible may applause all right, let's keep

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Speaker 1: going here on the Jesse Kelly Show, b K sitting

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Speaker 1: in with you guys, and as I promised, let's go

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Speaker 1: over and talk about what's going on in France here

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Speaker 1: a little bit. If you've been listening, keeping up with

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Speaker 1: the podcast, keeping up the world news, you know they've

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Speaker 1: had some Islamic terror troubles over there, and here's some

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Speaker 1: of the latest ones. So a Greek Orthodox priest was

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Speaker 1: shot and wounded Saturday in the central French city of Lyon,

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Speaker 1: but the motive was unclear, is what they're saying. Of course,

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Speaker 1: this shooting comes at a time of this heightened tensions

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Speaker 1: in France, which is still on edge after these recent

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Speaker 1: attacks by Islamic extremists. We had the killing of three

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Speaker 1: churchgoers in the southern city of Nice last week, and

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Speaker 1: then a couple of weeks back it was the beheading

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Speaker 1: near Paris of a school teacher who, of course had

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Speaker 1: shown cartoons of the prophet Mohammed during a civics class.

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Speaker 1: So in Lyone, around four pm local time on Saturday,

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Speaker 1: local residence and a police patrol heard two gunshots near

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Speaker 1: Greek Orthodox church and police officers saw a man fleeing

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Speaker 1: the scene and found a priest with gunshot wounds near

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Speaker 1: the church's back door, and French media was reporting that

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Speaker 1: the attacker used a sawed off shotgun and the police

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Speaker 1: were able to apprehend a person matching witness descriptions of

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Speaker 1: the attacker later that Saturday. So the priest has been

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Speaker 1: hospitalized with serious wounds and they are treating it as

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Speaker 1: an attempted murder case. But they are all so kind

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Speaker 1: of you know, it's funny, they really tiptoe around the

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Speaker 1: Islamic extremism thing, even though like right now the French

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Speaker 1: president Emmanuel Macral is getting crapped on all over the

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Speaker 1: world because he's seen is like taking his hard line on,

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Speaker 1: you know, the Islamic extremist. But let's be it's very relative.

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Speaker 1: I mean, they're still like pretty politically correct over there.

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Speaker 1: And indeed, the fact that the National Anti Terrorism Prosecutor

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Speaker 1: was not directly overseeing this priest's case was a sign

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Speaker 1: that authorities right now they don't have evidence of a

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Speaker 1: terrorist motive. I mean, you know, if the guy just

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Speaker 1: shows up and start blasting and doesn't say anything, you

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Speaker 1: can't really tell what his motive is. Even though we

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Speaker 1: can all put two and two together after the fact.

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Speaker 1: You know, it helps a lot if the guy is

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Speaker 1: good enough, you know, to scream out a good old

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Speaker 1: fashioned Allahu Akbar while he's doing the shooting, that makes

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Speaker 1: it a lot easier. So French authorities have placed the

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Speaker 1: country on its highest terrorism alert, and they did that

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Speaker 1: after the attack in Nice, so we'll see what goes

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Speaker 1: on there now. As far as that attack in Nice,

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Speaker 1: the French authorities have said they arrested a couple more

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Speaker 1: guys who were suspected of being in contact with that

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Speaker 1: assailant who killed three people at the church in Nice,

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Speaker 1: but they didn't really provide any details on what connection

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Speaker 1: the men who are ages forty seven and thirty five

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Speaker 1: had to this attack. So the Interior minister in France,

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Speaker 1: a guy named Gerald Darmanin, said that France faced a

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Speaker 1: high level threat of terrorism as and was being particularly

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Speaker 1: targeted because of what he called the country's staunch defense

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Speaker 1: of freedom of expression and secularism. And again that debate

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Speaker 1: out the cartoons of the prophet Muhammed have strained France's

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Speaker 1: relations with some Muslim majority countries. So in that attack

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Speaker 1: that happened, a man entered the Notre Dame Basilica in

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Speaker 1: Nice shortly after it opened in the morning and fatally

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Speaker 1: attacked three people with a seven inch knife, and two

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Speaker 1: similar knives were found near his bag. The details in

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Speaker 1: it were pretty gory. They described one person being cut

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Speaker 1: so bad that it was pretty much a beheading. Now,

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Speaker 1: the police confronted the assailant at the church while that

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Speaker 1: attack was in progress and a shot and wounded him.

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Speaker 1: And he was a Tunisian man in his early twenties.

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Speaker 1: So right now we don't really know how the additional

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Speaker 1: men might be connected to that attack, or what contacts

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Speaker 1: they had with the main suspect. And they did say

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Speaker 1: this suspect was not known to the French police or

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Speaker 1: intelligence services. The only really information we have is that

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Speaker 1: the suspect had arrived in Italy from Tunisia last month

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Speaker 1: and then traveled apparently to France hours or days before

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Speaker 1: the attack. The Italian authorities, for their part, said that

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Speaker 1: the guy arrived on the island of Lampadusa on a

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Speaker 1: small boat on September twentieth and was ordered to leave

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Speaker 1: the country, but they had received no warning from the

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Speaker 1: Tunisian authorities that he represented a threat. Oh yeah, here

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Speaker 1: we go. One of the victims, they said, was a

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Speaker 1: sixty year old woman and she was the one who

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Speaker 1: had her throat cut so deeply that it was basically

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Speaker 1: a decapitation. And another victim was a fifty five year

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Speaker 1: old man, also had serious throat wounds. And then the

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Speaker 1: third victim was a forty four year old Brazilian woman

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Speaker 1: living in France. She managed to escape the basilica, but

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Speaker 1: sadly did die of her wounds afterward. There it just

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Speaker 1: never ends over there. In a separate attack on that

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Speaker 1: same day, a knife wielding assailant wounded a security guard

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Speaker 1: outside a French consulate in Saudi Arabia. So man, and

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Speaker 1: remember this kind of again goes back to this school teacher.

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Speaker 1: His name was Samuel Patti. He was a forty seven

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Speaker 1: year old school teacher near Paris, and that was the

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Speaker 1: guy who was decapitated by an eighteen year old Muslim

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Speaker 1: man who was angered that he had shown cartoons of

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Speaker 1: the prophet muhammedan class. You know, I'm aren't you guys

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Speaker 1: sick of this? Aren't you sick of these people with

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Speaker 1: their stupid cartoons? Get over it, dude, all right, you

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Speaker 1: know what, I'm not going to fly off the handle

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Speaker 1: because I forget that I'm not doing the podcast and

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Speaker 1: I have to watch my language on here. And I know,

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Speaker 1: if I start getting worked up like I usually do,

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Speaker 1: I'm gonna drop some bombs and I'm gonna have to

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Speaker 1: hear it from Jesse and Chris the producer. So I'm

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Speaker 1: not gonna do it, not gonna get worked up. I'm

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Speaker 1: just I grow so weary of it. Why you know,

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Speaker 1: what if if you're so worked up about you know,

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Speaker 1: if you if you wanted to live that way, then

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Speaker 1: by all means, stay in Pakistan, stay in Tunisia, stay

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Speaker 1: in Saudi Arabia, and you can do whatever you want.

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Speaker 1: I'll never go there. I don't care. You can do

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Speaker 1: whatever you want. You can have your sand in Saudi Arabia. Okay,

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Speaker 1: there's your deal. You don't you can't go to France

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Speaker 1: and nobody from France can go to Saudi Arabia or Tunisia.

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Speaker 1: How about that. Let's why don't we make that deal?

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Speaker 1: What's the big deal? Let's do that. I don't understand it.

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Speaker 1: I don't understand why these guys they want to have

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Speaker 1: this like crazy medieval barbaric outlook on religion, and they

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Speaker 1: but and yet they want to go live in a

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Speaker 1: place that prides itself on secularism in Western civilization. So

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Speaker 1: make up your mind, bro, It's very annoying to me.

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Speaker 1: I mean, you don't see me going over to like,

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Speaker 1: you know, Pakistan and start barking at them about their

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Speaker 1: way of life. I don't know what I'm saying. I

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Speaker 1: don't get it doesn't make any sense to me. Oh

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Speaker 1: this is funny too. You know, did you see last

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Speaker 1: week the former Prime minister of Malaysia, He actually tweeted

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Speaker 1: out that Muslims had the right to kill millions of

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Speaker 1: French people for the massacres of the past. That was

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Speaker 1: too much even for Twitter. They took a break from

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Speaker 1: flagging all of Trump's tweets, and they actually did force

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Speaker 1: him to remove that one. But he's like, yeah, this

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Speaker 1: is apparently the former Prime Minister of Malaysia, a guy

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Speaker 1: named Mahathir Mohammed. Yeah, he's he was like, yeah, we uh,

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Speaker 1: it's our religion. Our religion says we can kill the

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Speaker 1: Infidel and we can kill millions of French people because

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Speaker 1: you were mean to us one hundred years ago. So

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Speaker 1: that was too much even for the social justice warriors

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Speaker 1: at Twitter, so they actually made them delete that one. Yep,

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Speaker 1: anything else on here, it's just too bad, man. You know,

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Speaker 1: we're under attack. Everything's under attack these days, all this,

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Speaker 1: all these First Amendment, freedom of speech, freedom of religion,

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Speaker 1: all this stuff. It's constantly under pressure, you guys. It's

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Speaker 1: never gonna get any better. And until people start getting

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Speaker 1: some coconnas and stand up for themselves, it's just not

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Speaker 1: And if you don't like it, I have a great idea.

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Speaker 1: There's plenty of Muslim countries where you can go do

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Speaker 1: this and live like that. So more back after this

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Speaker 1: with Jesse Kelly. One in three adults has pre diabetes.

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Speaker 1: One in three. That means it could be you your

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

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Speaker 1: a worst man. 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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00:22:20,400 --> 00:22:23,040
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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00:22:32,200 --> 00:22:36,160
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

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Speaker 1: Carol or 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

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Speaker 1: org brought to you by the AD Council, and it's

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Speaker 1: pre Diabetes Awareness Partners. All right, rolling along here on

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Speaker 1: the Jesse Kelly Show. BK here with you, guys. Really

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Speaker 1: appreciate Jesse again letting me sit in just a few

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Speaker 1: closing thoughts here we're talking about this all this Islamic

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Speaker 1: terrorism going on in France and what they're going to

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Speaker 1: do about it. And yeah, this is it's at a

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Speaker 1: time when Makron, the president is really seems like he's

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Speaker 1: really putting his foot down. He says he's sick of this.

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Speaker 1: Just weeks ago, actually the president called for an Islam

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Speaker 1: of enlightenment and an Islam that can be at peace

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Speaker 1: with the Republic. And this was during a speech and

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Speaker 1: what he described as a renewed fight against radicalism and

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Speaker 1: challenges to the nation's secular ideals. Now since really since,

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Speaker 1: I mean, this has been going on for a while,

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Speaker 1: but really it's been kind of kicked in a high

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Speaker 1: gear since the killing of that teacher. And this is

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Speaker 1: really vexing many French Muslims, and of course, as I said,

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Speaker 1: the other Muslim nations are not really happy. And they're

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Speaker 1: carrying out all these steps and it's pretty funny because

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Speaker 1: they they really think that this is like a really crackdown.

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Speaker 1: And I kind of I remember this sentence in particular

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Speaker 1: from this story and I covered it last week. And

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Speaker 1: some of these steps that they're taking now to show

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Speaker 1: how tough they are on terrorism. And here's some of

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Speaker 1: the steps. Here's the first step expelling imprisoned foreigners suspected

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Speaker 1: of terrorist links. And I was like, dude, isn't that

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Speaker 1: something you should have been doing like for decades, Like

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Speaker 1: you're just now getting around to expelling foreigners in your

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Speaker 1: country who've been convicted of terrorism. I don't know, isn't

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Speaker 1: that like step one? This is what I'm saying. They

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Speaker 1: like act all tough, but this is like it seems

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Speaker 1: like common sense stuff. It's it's so silly to me.

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Speaker 1: And then they're also carrying out raids and everything, you know,

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Speaker 1: the usual stuff, and now you know and then and

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Speaker 1: then you get all the usual backlash. Palestinians are calling

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Speaker 1: for a day of age. Yes. Yes. Protests and boycotts

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Speaker 1: of French products have gained traction from Bangladesh to Qatar,

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Speaker 1: and Muslim leaders have condemned Makrall for what they describe

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Speaker 1: as a kind of collective punishment of France's Muslims. Well,

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Speaker 1: you know, that's it's going to be hard to do that,

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Speaker 1: and none of it appears to have shaken resolve of

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Speaker 1: the French government. So credit to them, because you know

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Speaker 1: they've been the target of dozens of these attacks, large

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Speaker 1: and small. I mean since twenty fifteen, they've left more

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Speaker 1: than two hundred dead. And it's a symbol of who

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Speaker 1: they're going after. Two you know, they went after the

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Speaker 1: Charlie Hebdo people, which so that's like the free press. Right,

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Speaker 1: let's talk about Western civilization right there, and then a

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Speaker 1: public school with the teacher, and now at this church.

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Speaker 1: These are like three pillars of Western civilization. And don't

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Speaker 1: think that goes unnoticed. You know, these aren't like just

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Speaker 1: gang bangers killing each other. So this has symbolism here

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Speaker 1: in case you didn't know, France does have Europe's largest

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Speaker 1: Muslim population. Yeah, and they've been having problems with this

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Speaker 1: ever since the the trial began last month. That started,

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Speaker 1: and those were the trial the alleged accomplices in the

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Speaker 1: twenty fifteen Charlie hebdo At text that I mentioned earlier.

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Speaker 1: So I don't know. I don't have to tell you

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Speaker 1: there's no really no end in sight. And I would

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Speaker 1: just ask again, if you don't like the Western civilization style,

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Speaker 1: then don't go there. It's not really that complicated. We

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Speaker 1: have global air travel now, you can go live wherever

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Speaker 1: you want. That's what I'm just saying. But let's continue.

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Speaker 1: That's enough of France. Let's keep going to another massacre

428
00:26:48,119 --> 00:26:52,640
Speaker 1: and let's go to Ethiopia where dozens of people were killed.

429
00:26:52,640 --> 00:26:56,480
Speaker 1: In Ethiopia over the weekend, they had three villages assaulted

430
00:26:56,480 --> 00:26:59,880
Speaker 1: by an armed rebel group. And this is the latest

431
00:27:00,080 --> 00:27:03,680
Speaker 1: in the spate of attacks that threatened stability of Africa's

432
00:27:03,720 --> 00:27:08,080
Speaker 1: second most populous nation. Now the first would beat Nigeria. Yeah, guys,

433
00:27:08,119 --> 00:27:09,800
Speaker 1: I don't even have that in front of me. I

434
00:27:09,840 --> 00:27:12,080
Speaker 1: don't even have the population. I just know that the

435
00:27:12,200 --> 00:27:15,880
Speaker 1: steel trap mind cannot be beat. It's it's unbelievable. Not

436
00:27:15,920 --> 00:27:18,400
Speaker 1: only am I way more jacked than the average guy,

437
00:27:18,640 --> 00:27:21,760
Speaker 1: I'm way more tan. The ap veins are like popping

438
00:27:21,880 --> 00:27:25,560
Speaker 1: right now. The arms are just like nineteen inch pythons

439
00:27:25,720 --> 00:27:28,080
Speaker 1: and the steel trap. Mind. I mean, you guys, it's

440
00:27:28,119 --> 00:27:33,680
Speaker 1: not even fair. It's not even fair. But I digress.

441
00:27:35,320 --> 00:27:41,960
Speaker 1: This killing, this was, this was pretty bad though. This

442
00:27:42,200 --> 00:27:46,440
Speaker 1: was at least fifty four people from the ethnic Amhara

443
00:27:46,560 --> 00:27:51,440
Speaker 1: group and the attackers, authorities said were from the Oromo

444
00:27:51,600 --> 00:27:56,600
Speaker 1: Liberation Army and they basically attacked three villages in the

445
00:27:56,640 --> 00:28:00,159
Speaker 1: West Velega zone. They killed the victims after alluring him

446
00:28:00,200 --> 00:28:04,439
Speaker 1: to a school compound. They stole everything they could and

447
00:28:04,480 --> 00:28:10,080
Speaker 1: then they set everything else on fire. The Ethiopian Human

448
00:28:10,160 --> 00:28:12,880
Speaker 1: Rights Commission set in a statement that there were up

449
00:28:12,880 --> 00:28:19,919
Speaker 1: to sixty assailants. Wow. Yes, this attack, they say, underscores

450
00:28:19,920 --> 00:28:24,760
Speaker 1: how relations between Ethiopia's ethnic groups are fraying, even as

451
00:28:24,960 --> 00:28:29,240
Speaker 1: Prime Minister Abi Ahmed tries to unite the country's ethnically

452
00:28:29,440 --> 00:28:36,320
Speaker 1: federated states. And remember Abi is a Nobel Peace Prize laureate.

453
00:28:36,359 --> 00:28:38,480
Speaker 1: But he's been having a hard time because this is like,

454
00:28:39,160 --> 00:28:40,320
Speaker 1: you know, you think we have a bad in the

455
00:28:40,400 --> 00:28:43,200
Speaker 1: United States. This tribalism goes on all over the world,

456
00:28:43,200 --> 00:28:44,880
Speaker 1: and we, you know, we we think it's like the

457
00:28:44,920 --> 00:28:46,440
Speaker 1: worst thing in the world. When people are getting like

458
00:28:46,480 --> 00:28:49,760
Speaker 1: a little you know, shoving match in like Portland, and

459
00:28:49,800 --> 00:28:52,840
Speaker 1: we're like, oh, it's the end of days. I mean, dude,

460
00:28:52,880 --> 00:28:55,440
Speaker 1: you have this is this is nothing compared to what

461
00:28:55,520 --> 00:29:01,240
Speaker 1: goes on overseas. Now that price minister I said earlier,

462
00:29:02,000 --> 00:29:05,760
Speaker 1: Ahmed he came to power in twenty eighteen and he's

463
00:29:05,800 --> 00:29:08,160
Speaker 1: been trying to like, you know, do all these reforms,

464
00:29:08,160 --> 00:29:10,240
Speaker 1: and that's kind of why he won the Nobel Peace Prize,

465
00:29:10,920 --> 00:29:16,240
Speaker 1: like freeing political prisoners, legalizing previously banned opposition groups, etc. Etc.

466
00:29:17,760 --> 00:29:21,800
Speaker 1: So it is not good. And I've covered a lot

467
00:29:21,840 --> 00:29:25,560
Speaker 1: of these stories on the podcast. And remember one of

468
00:29:25,600 --> 00:29:30,520
Speaker 1: the problems that happened was the killing of that famous singer.

469
00:29:31,400 --> 00:29:37,320
Speaker 1: This happened. That was a Hatchalu Houndessa. He was a

470
00:29:37,360 --> 00:29:40,800
Speaker 1: prominent singer from the Oromo tribe and he was killed,

471
00:29:40,880 --> 00:29:45,120
Speaker 1: assassinated basically in the capital of Addis Ababa in late June.

472
00:29:45,560 --> 00:29:48,160
Speaker 1: And you know, I remember, I remember specifically that story

473
00:29:48,200 --> 00:29:50,080
Speaker 1: because that guy's death, I mean, he must have been

474
00:29:50,120 --> 00:29:55,160
Speaker 1: a popular singer. That Dude's death incited widespread unrest and violence,

475
00:29:55,200 --> 00:30:01,760
Speaker 1: with hundreds of people killed and thousands of arrest I mean, dude,

476
00:30:02,680 --> 00:30:04,280
Speaker 1: you know I kind of it made a grim joke

477
00:30:04,320 --> 00:30:05,960
Speaker 1: at the time that you know, that's how you really

478
00:30:05,960 --> 00:30:08,080
Speaker 1: make That's how you know you've made it. You know,

479
00:30:08,200 --> 00:30:10,840
Speaker 1: if you if you get assassinated or killed or die

480
00:30:10,960 --> 00:30:16,200
Speaker 1: sadly like and multiple people die in events following your

481
00:30:16,200 --> 00:30:18,200
Speaker 1: death and like protests, like, that's how you know you've

482
00:30:18,240 --> 00:30:20,000
Speaker 1: made it. Like if I ever die, if somebody ever

483
00:30:20,160 --> 00:30:22,000
Speaker 1: like clips me, you guys, I want at least a

484
00:30:22,040 --> 00:30:25,080
Speaker 1: dozen people to die at my funeral service. You know,

485
00:30:25,080 --> 00:30:29,160
Speaker 1: whether it's like from just gunfighting or just fist fighting,

486
00:30:29,280 --> 00:30:31,560
Speaker 1: whatever it takes, I don't really care, because then I'll

487
00:30:31,600 --> 00:30:35,160
Speaker 1: really know I really made it into life. So that's

488
00:30:35,200 --> 00:30:38,600
Speaker 1: what's going on in Ethiopia. And further, just to make

489
00:30:38,600 --> 00:30:45,000
Speaker 1: you feel even better, gunmen also stormed Cobble University in Afghanistan,

490
00:30:45,240 --> 00:30:47,680
Speaker 1: killing at least nineteen. Boy they're they're going to turn

491
00:30:47,720 --> 00:30:50,640
Speaker 1: it around any day, now, aren't they. This is only

492
00:30:50,760 --> 00:30:55,920
Speaker 1: three gunmen and they laid siege to Afghanistan's largest university.

493
00:30:55,960 --> 00:30:58,920
Speaker 1: This week taking hostages, killing at least nineteen people and

494
00:30:58,960 --> 00:31:03,400
Speaker 1: wounding more then a dozen. The three assailants were killed

495
00:31:03,400 --> 00:31:06,880
Speaker 1: after Afghan security forces and American troops moved in to

496
00:31:07,080 --> 00:31:09,880
Speaker 1: rout them out. They ended the siege after six hours.

497
00:31:11,560 --> 00:31:16,480
Speaker 1: The Taliban has denied responsibility and they blamed the Islamic State.

498
00:31:16,640 --> 00:31:20,360
Speaker 1: So yeah, they're gonna, they're gonna, They're just gonna flip

499
00:31:20,360 --> 00:31:23,760
Speaker 1: it around any day in Afghanistan, Isn't it terrible place?

500
00:31:23,800 --> 00:31:25,760
Speaker 1: We never should have gotten involved with that. Those are

501
00:31:25,840 --> 00:31:27,479
Speaker 1: one of the worst things you ever did. I mean,

502
00:31:27,520 --> 00:31:29,560
Speaker 1: if we I do. Don't get me wrong. I understand

503
00:31:29,640 --> 00:31:31,760
Speaker 1: completely wanting to get revenge for nine to eleven, but

504
00:31:31,760 --> 00:31:34,160
Speaker 1: we should have just gone there, laid waste to the place,

505
00:31:34,160 --> 00:31:39,720
Speaker 1: and then left promptly. Now, that followed a suicide bombing

506
00:31:39,720 --> 00:31:43,440
Speaker 1: on October twenty fourth at the Education center in Western Couple,

507
00:31:43,800 --> 00:31:46,320
Speaker 1: and that killed more than forty people, most of them

508
00:31:46,360 --> 00:31:50,479
Speaker 1: high school students. You believe these savages killing like kids

509
00:31:50,760 --> 00:31:55,400
Speaker 1: in a cowardly bombing. And again with that one, the

510
00:31:55,440 --> 00:32:00,480
Speaker 1: Taliban also denied that one and again blamed the Islamic State. Indeed,

511
00:32:00,480 --> 00:32:06,840
Speaker 1: the Taliban spokesman Zaba Hula Mujahid accuse the Afghan government

512
00:32:06,880 --> 00:32:11,040
Speaker 1: of having allowed the Islamic State to harbor in the country.

513
00:32:11,240 --> 00:32:14,120
Speaker 1: So now the Taliban, do you see how they're doing?

514
00:32:14,160 --> 00:32:15,880
Speaker 1: Do you see what they're doing here? The Taliban is

515
00:32:15,920 --> 00:32:17,719
Speaker 1: going to go around to the people saying, look at

516
00:32:17,720 --> 00:32:20,560
Speaker 1: this corrupt Afghan government. They're allowing Isis to take root

517
00:32:20,560 --> 00:32:23,280
Speaker 1: in your country, and of course they will proclaim themselves

518
00:32:23,280 --> 00:32:25,400
Speaker 1: the only people who can then root out isis. You

519
00:32:25,440 --> 00:32:27,960
Speaker 1: see how the game is played? And should we be

520
00:32:28,000 --> 00:32:30,280
Speaker 1: a part of this while all this crap show's gone on,

521
00:32:30,400 --> 00:32:33,520
Speaker 1: I don't think so. All right, guys, we will come

522
00:32:33,520 --> 00:32:36,320
Speaker 1: back with more world news on the Jesse Kelly Show.

523
00:32:50,440 --> 00:32:55,520
Speaker 1: Elections here. I don't know if you've noticed, but there's

524
00:32:55,520 --> 00:33:00,040
Speaker 1: an election here today and you need to have a

525
00:33:00,120 --> 00:33:04,960
Speaker 1: gold ira. It has to be part of your portfolio.

526
00:33:05,240 --> 00:33:10,160
Speaker 1: No matter what happens today. Let the stock market fluctuations,

527
00:33:10,800 --> 00:33:14,240
Speaker 1: let them be a nice reminder to you that money

528
00:33:14,280 --> 00:33:17,240
Speaker 1: in stocks and bonds is fine. I have money in

529
00:33:17,280 --> 00:33:20,960
Speaker 1: stocks and bonds good. Of course, Yes, you have to

530
00:33:21,000 --> 00:33:25,200
Speaker 1: have a gold ira to give you a floor to

531
00:33:25,400 --> 00:33:30,160
Speaker 1: how low those can drop. Gold iras provide that security

532
00:33:30,200 --> 00:33:33,440
Speaker 1: for you. In Gold Alliance, they know what they're doing.

533
00:33:34,000 --> 00:33:37,640
Speaker 1: Gold Alliance has an A plus rating with a Better

534
00:33:37,680 --> 00:33:41,080
Speaker 1: Business Bureau. They will walk you through this step by step.

535
00:33:41,520 --> 00:33:45,520
Speaker 1: Go to gold Alliance dot com slash Jesse. That's gold

536
00:33:45,600 --> 00:33:49,760
Speaker 1: Alliance dot com slash Jesse. Go there today, start your

537
00:33:49,760 --> 00:34:11,879
Speaker 1: gold ira all right back here at the Jesse Kelly Show,

538
00:34:11,880 --> 00:34:14,120
Speaker 1: bk here sitting with you guys. Go ahead and follow

539
00:34:14,120 --> 00:34:16,640
Speaker 1: me on Twitter at Bravo Kilo Actual. We want to

540
00:34:16,640 --> 00:34:18,279
Speaker 1: do that to keep up with all the breaking news

541
00:34:18,320 --> 00:34:21,120
Speaker 1: we have. Last segment, I was talking a little bit

542
00:34:21,120 --> 00:34:24,719
Speaker 1: about the Taliban and what's going on in Afghanistan, and

543
00:34:25,000 --> 00:34:27,600
Speaker 1: how about this. I had a saved round here for you.

544
00:34:27,600 --> 00:34:32,440
Speaker 1: You know, a Taliban attack that was most likely carried

545
00:34:32,440 --> 00:34:35,960
Speaker 1: out by a drone killed at least four security officers

546
00:34:35,960 --> 00:34:40,400
Speaker 1: in northern Afghanistan on Sunday, and that represents what could

547
00:34:40,440 --> 00:34:43,720
Speaker 1: be that group's first publicly known use of the method

548
00:34:43,800 --> 00:34:47,120
Speaker 1: in the nineteen year war. This was a strike that

549
00:34:47,200 --> 00:34:51,880
Speaker 1: targeted the governor's compound in Kundus, a province that of

550
00:34:51,880 --> 00:34:55,680
Speaker 1: course has seen heavy fighting, and at least eight other

551
00:34:55,719 --> 00:34:59,520
Speaker 1: people were wounded in the blast. Now, apparently the Kundu's

552
00:34:59,600 --> 00:35:06,000
Speaker 1: governor bodyguards were playing volleyball. Okay, this is funny. That

553
00:35:06,040 --> 00:35:07,759
Speaker 1: strikes me as funny. Like when I think of like

554
00:35:07,800 --> 00:35:10,520
Speaker 1: Afghanistan and like, you know, the mean guards and everything,

555
00:35:10,560 --> 00:35:13,120
Speaker 1: I just I don't picture them. I don't picture them

556
00:35:13,160 --> 00:35:16,760
Speaker 1: playing volleyball er really doing anything fun that doesn't involve

557
00:35:18,080 --> 00:35:21,560
Speaker 1: sexually assaulting small children. I know I shouldn't say that,

558
00:35:21,600 --> 00:35:24,239
Speaker 1: but hey, hey, I'm just saying what they do. Okay,

559
00:35:24,640 --> 00:35:27,439
Speaker 1: I'm not happy about it either. It's a fact. Don't

560
00:35:27,480 --> 00:35:31,719
Speaker 1: give me the emails. But yes, they were playing volleyball

561
00:35:33,080 --> 00:35:40,640
Speaker 1: and they didn't exactly say it was a drone, but

562
00:35:40,719 --> 00:35:44,239
Speaker 1: a member the Afghan Parliament from Kundu's sat on his

563
00:35:44,360 --> 00:35:48,680
Speaker 1: Facebook page that the episode represented quote a new method

564
00:35:48,800 --> 00:35:53,440
Speaker 1: of attack end quote. Now, the Taliban's use of small

565
00:35:53,600 --> 00:35:57,520
Speaker 1: over the counter drones has been limited in recent years,

566
00:35:57,520 --> 00:36:02,479
Speaker 1: like filming attacks for propaganda videos and stuff, but there

567
00:36:02,520 --> 00:36:06,600
Speaker 1: have been previously unreported incidents of the remote controlled devices

568
00:36:06,680 --> 00:36:10,360
Speaker 1: being used to drop immunitions, and that was a practice

569
00:36:10,400 --> 00:36:14,680
Speaker 1: made popular by the Islamic State in Iraq in Syria

570
00:36:14,760 --> 00:36:18,279
Speaker 1: in the past. Now last May, a similar strike did

571
00:36:18,280 --> 00:36:22,160
Speaker 1: occur on the Kundu's Governor's compound, killing one person. At

572
00:36:22,160 --> 00:36:27,120
Speaker 1: the time the governor's spokesman said a missile had hit

573
00:36:27,160 --> 00:36:32,920
Speaker 1: a farewell party, but later local officials said they believed

574
00:36:33,080 --> 00:36:36,400
Speaker 1: a drone may have carried out the attack because of

575
00:36:36,440 --> 00:36:39,719
Speaker 1: its precise nature. I mean, you had to know this

576
00:36:39,800 --> 00:36:42,800
Speaker 1: was going to come about eventually. It's not like we

577
00:36:43,040 --> 00:36:45,480
Speaker 1: sell these drones. They are available for sale like all

578
00:36:45,480 --> 00:36:49,279
Speaker 1: over the world. And obviously these aren't like you know,

579
00:36:49,360 --> 00:36:53,080
Speaker 1: the predators or anything, but still you can do some

580
00:36:53,200 --> 00:36:58,759
Speaker 1: damage with them. In Kundu's officials there said you can

581
00:36:58,840 --> 00:37:02,000
Speaker 1: see small Taliban drones used for surveillance all the time,

582
00:37:03,200 --> 00:37:10,280
Speaker 1: and much of the Afghan security forces fight from stationary

583
00:37:10,360 --> 00:37:12,880
Speaker 1: checkpoints and they have like these open air outposts that

584
00:37:12,920 --> 00:37:17,160
Speaker 1: are especially vulnerable to all these attacks like that, and

585
00:37:18,360 --> 00:37:24,440
Speaker 1: American forces really have limited equipment available to counter the small,

586
00:37:24,680 --> 00:37:27,840
Speaker 1: hard to detect drones. US forces in Iraq have dealt

587
00:37:27,840 --> 00:37:30,360
Speaker 1: with the Islamic State drone threat since twenty fourteen. I

588
00:37:30,360 --> 00:37:33,439
Speaker 1: remember when I was in Iraq. You know, we had

589
00:37:33,600 --> 00:37:37,520
Speaker 1: various methods to deal with it, but it's kind of imperfect,

590
00:37:37,520 --> 00:37:43,080
Speaker 1: that's for sure. So this episode comes after the deadliest

591
00:37:43,120 --> 00:37:46,880
Speaker 1: month in Afghanistan for civilians in September of twenty nineteen,

592
00:37:48,040 --> 00:37:51,600
Speaker 1: at least two hundred and twelve people were killed as

593
00:37:52,000 --> 00:37:56,160
Speaker 1: the Taliban launched offensives in the country's south and east,

594
00:37:56,239 --> 00:38:00,040
Speaker 1: and about two thousand and one hundred Afghan civilians have

595
00:38:00,160 --> 00:38:03,600
Speaker 1: been killed in the first nine months of twenty twenty.

596
00:38:03,760 --> 00:38:10,000
Speaker 1: So it's just not going very well there. So let's see,

597
00:38:10,239 --> 00:38:12,960
Speaker 1: let's turn to how about a domestic story here, just

598
00:38:13,000 --> 00:38:17,399
Speaker 1: to mix things up. This is something I beat on

599
00:38:17,680 --> 00:38:19,799
Speaker 1: my young listeners on the podcast all the time. Here

600
00:38:19,840 --> 00:38:23,880
Speaker 1: you go, guys. A New Jersey youth pastor and teachers

601
00:38:23,960 --> 00:38:28,239
Speaker 1: facing criminal charges after prosecutors said he posed as a

602
00:38:28,280 --> 00:38:32,320
Speaker 1: teenage girl on social media to coax young boys into

603
00:38:32,360 --> 00:38:36,960
Speaker 1: doing what take a wild guess that's right, sending him

604
00:38:37,040 --> 00:38:41,200
Speaker 1: naked pictures and then he blackmailed his victims by threatening

605
00:38:41,239 --> 00:38:44,799
Speaker 1: to share the photos. And I can't. I have done

606
00:38:44,920 --> 00:38:47,640
Speaker 1: so many of these stories. I don't know how to

607
00:38:47,719 --> 00:38:51,239
Speaker 1: tell you young people anymore. I know, I get it.

608
00:38:51,520 --> 00:38:53,719
Speaker 1: You're on Instagram. All of a sudden, you get a

609
00:38:53,960 --> 00:38:57,480
Speaker 1: direct message and you open it and it's this young

610
00:38:57,560 --> 00:39:00,400
Speaker 1: hottie and all she wants to do is see your junk.

611
00:39:01,520 --> 00:39:03,880
Speaker 1: You gotta be smarter than that. Kids. You can't just like,

612
00:39:04,000 --> 00:39:06,160
Speaker 1: you know, start taking pictures and sending it that. You

613
00:39:06,280 --> 00:39:09,320
Speaker 1: gotta be a little bit smarter than that, because otherwise

614
00:39:09,360 --> 00:39:13,040
Speaker 1: you might run into thirty year old Sean Higgins like

615
00:39:13,120 --> 00:39:18,440
Speaker 1: this story. And yeah, he worked as a youth pastor

616
00:39:18,560 --> 00:39:22,359
Speaker 1: and a teacher, and yep, he did pose as a

617
00:39:22,360 --> 00:39:26,480
Speaker 1: teenage girl on Snapchat and Instagram. He would befriend boys

618
00:39:27,320 --> 00:39:31,080
Speaker 1: between twelve and fifteen years old and he just found

619
00:39:31,120 --> 00:39:33,560
Speaker 1: some picture of like a you know, hot young girl,

620
00:39:35,239 --> 00:39:37,960
Speaker 1: and he would send him and build a relationship with

621
00:39:38,000 --> 00:39:40,480
Speaker 1: these victims. And he would then he would start suggesting, hey,

622
00:39:40,480 --> 00:39:43,480
Speaker 1: why don't we swap nudes, and you know, inevitably he

623
00:39:43,520 --> 00:39:46,319
Speaker 1: would get one. So when he got one, he would

624
00:39:46,360 --> 00:39:50,360
Speaker 1: then reveal his true identity and he would take a

625
00:39:50,400 --> 00:39:53,319
Speaker 1: screenshot of the victim's friends list, and he would try

626
00:39:53,360 --> 00:39:55,359
Speaker 1: to blackmail and said give me all your money and

627
00:39:55,840 --> 00:39:57,719
Speaker 1: if you won't, I'm gonna tell all your friends. So

628
00:39:58,880 --> 00:40:00,719
Speaker 1: your kids, you gotta be smart net in this day

629
00:40:00,760 --> 00:40:02,440
Speaker 1: and age. I mean, at least make them hop on

630
00:40:02,520 --> 00:40:04,680
Speaker 1: FaceTime or something. I mean, it's not that hard. And

631
00:40:04,719 --> 00:40:06,759
Speaker 1: if they don't, then you know, that's the way it is.

632
00:40:07,760 --> 00:40:11,960
Speaker 1: So that's your public service announcement. From your uncle. B K.

633
00:40:12,239 --> 00:40:13,799
Speaker 1: I'm trying to tell you kids how to do it

634
00:40:13,840 --> 00:40:15,960
Speaker 1: out here. These old people, these other talk show hosts,

635
00:40:16,000 --> 00:40:18,080
Speaker 1: they don't even know what snapchat is. I'm out there,

636
00:40:18,120 --> 00:40:21,000
Speaker 1: I'm in the trenches. I'm with you, guys, Okay, I'm

637
00:40:21,040 --> 00:40:25,080
Speaker 1: trying to help you navigate your way through these treacherous times.

638
00:40:25,120 --> 00:40:28,000
Speaker 1: All right, guys, more on a Jesse Kelly show after this,

639
00:40:42,280 --> 00:40:47,600
Speaker 1: wake up and text, Text and eat, Text and catch

640
00:40:47,640 --> 00:40:52,239
Speaker 1: the bus, Text and miss your stop. Wait wait wait

641
00:40:52,239 --> 00:40:55,400
Speaker 1: wait wait, Text and be late to work. Sorry late,

642
00:40:56,000 --> 00:41:01,320
Speaker 1: Text and work, Text and pretend to work, Text and

643
00:41:01,440 --> 00:41:03,560
Speaker 1: x surprised when someone calls you out for not working.

644
00:41:04,800 --> 00:41:06,439
Speaker 1: Maybe text and meet up with a friend you haven't

645
00:41:06,440 --> 00:41:09,880
Speaker 1: seen in forever. Hi, Text and complain that they're on

646
00:41:09,920 --> 00:41:13,120
Speaker 1: their phone the whole time. Text and listen to them,

647
00:41:13,160 --> 00:41:17,800
Speaker 1: complain that you're on your phone the whole time. Text

648
00:41:17,800 --> 00:41:20,839
Speaker 1: and whatever. But when you get behind the wheel, give

649
00:41:20,880 --> 00:41:23,400
Speaker 1: your phone to a passenger, put it in the glovebox.

650
00:41:23,960 --> 00:41:28,319
Speaker 1: Just don't text and drive. Visit stop texts stoprex dot

651
00:41:28,440 --> 00:41:30,800
Speaker 1: org a public service announcement brought to you by the

652
00:41:30,880 --> 00:41:37,840
Speaker 1: National Highway Traffic Safety Administration and the AD Council. All right,

653
00:41:37,960 --> 00:41:40,120
Speaker 1: finishing up this hour of the Jesse Kelly Show. BK

654
00:41:40,320 --> 00:41:42,640
Speaker 1: here with you, guys. Let's go ahead and do this one.

655
00:41:42,680 --> 00:41:46,120
Speaker 1: How about this headline a middle school teacher sent a

656
00:41:46,239 --> 00:41:50,439
Speaker 1: student a photo of his genitals on naked hot tub night.

657
00:41:50,640 --> 00:41:53,800
Speaker 1: All right, let's dive into this. This is a married

658
00:41:53,960 --> 00:41:58,200
Speaker 1: middle school science teacher and it's just like what it sounds.

659
00:41:58,840 --> 00:42:02,440
Speaker 1: Bill Burns French, the third, thirty four years old, was

660
00:42:02,719 --> 00:42:07,760
Speaker 1: arrested and he is being charged with transmitting harmful information

661
00:42:07,800 --> 00:42:10,319
Speaker 1: to a minor child and using a two way communications

662
00:42:10,360 --> 00:42:17,680
Speaker 1: device to commit a felony. So what happened? Well, French,

663
00:42:17,719 --> 00:42:20,239
Speaker 1: who was a married father of two daughters under four

664
00:42:20,320 --> 00:42:22,719
Speaker 1: years old, was messaging back and forth with an ex

665
00:42:22,760 --> 00:42:26,120
Speaker 1: student on Instagram a week a week ago, but the

666
00:42:26,160 --> 00:42:29,319
Speaker 1: interaction took an unexpected turn when French wrote to the

667
00:42:29,360 --> 00:42:32,680
Speaker 1: student that it was quote naked hot tub night end quote.

668
00:42:32,680 --> 00:42:37,080
Speaker 1: According to the rest report, a few more innocent messages

669
00:42:37,120 --> 00:42:42,960
Speaker 1: followed before bam, the science teacher then allegedly did send

670
00:42:43,080 --> 00:42:47,800
Speaker 1: a photo of his genitals to the juvenile. The child's

671
00:42:47,880 --> 00:42:52,279
Speaker 1: father saw the exchange, ordered French to stop communicating, and

672
00:42:52,320 --> 00:42:55,320
Speaker 1: then reported it to the cops. Oh this is great.

673
00:42:55,320 --> 00:42:58,560
Speaker 1: When questioned by the deputies, French initially lied that he

674
00:42:58,680 --> 00:43:01,279
Speaker 1: dropped his cell phone in the toilet and that the

675
00:43:01,400 --> 00:43:05,080
Speaker 1: SIM card was removed and showed up by his daughter

676
00:43:05,800 --> 00:43:10,200
Speaker 1: and Penn. They know that didn't work. He did later

677
00:43:10,280 --> 00:43:13,360
Speaker 1: admit to sending the X rated photo. I mean, I

678
00:43:13,400 --> 00:43:15,279
Speaker 1: don't know what these guys are thinking, Like you're sit

679
00:43:15,360 --> 00:43:16,880
Speaker 1: there talking. All of a sudden, it's like, oh, you

680
00:43:16,920 --> 00:43:18,680
Speaker 1: know what's gonna take this to the next level. I

681
00:43:18,719 --> 00:43:21,080
Speaker 1: know it's gonna take it to the next level. A

682
00:43:21,200 --> 00:43:23,320
Speaker 1: picture of the old twig and berries. It does it

683
00:43:23,400 --> 00:43:26,439
Speaker 1: every time that it never really does you guys, don't

684
00:43:26,440 --> 00:43:28,960
Speaker 1: do it. I'm telling you all right, guys, we got

685
00:43:28,960 --> 00:43:31,120
Speaker 1: a couple more hours to go. More back with you

686
00:43:31,160 --> 00:43:38,520
Speaker 1: after this on The Jesse Kelly Show. The Jesse Kelly Show.

687
00:43:51,120 --> 00:43:59,120
Speaker 1: This is a Jesse Kelly Show. Welcome back to Jesse

688
00:43:59,239 --> 00:44:01,760
Speaker 1: Kelly Show. You guys, is b K here hanging along

689
00:44:01,800 --> 00:44:04,560
Speaker 1: with you? Really appreciate Jesse letting me sit in the

690
00:44:04,600 --> 00:44:08,120
Speaker 1: big chair form. You can find my podcast World News

691
00:44:08,160 --> 00:44:14,120
Speaker 1: with BK on iTunes, Spotify, Google Store, and recently it's

692
00:44:14,160 --> 00:44:16,920
Speaker 1: also on the iHeartRadio apps. So go ahead and do

693
00:44:16,960 --> 00:44:19,880
Speaker 1: that and check out my Instagram at b K actual.

694
00:44:20,320 --> 00:44:22,279
Speaker 1: So I guess we'd start off this hour with what

695
00:44:22,400 --> 00:44:24,279
Speaker 1: else are we else going to talk about? Is the

696
00:44:24,360 --> 00:44:27,920
Speaker 1: big election? That's right? Oh my god, it's gonna be

697
00:44:28,000 --> 00:44:30,680
Speaker 1: a bad house. Civil war is gonna break out all

698
00:44:30,680 --> 00:44:34,160
Speaker 1: over the country. I understand. I have a few thoughts

699
00:44:34,160 --> 00:44:37,279
Speaker 1: on it, But why don't we go to our live

700
00:44:37,400 --> 00:44:39,399
Speaker 1: updates page and see what's going on? Of course, it's

701
00:44:39,400 --> 00:44:41,239
Speaker 1: coming right down to it. This is it, It's all

702
00:44:41,280 --> 00:44:43,640
Speaker 1: gonna be over, guys. This could be this could be it.

703
00:44:44,080 --> 00:44:46,239
Speaker 1: This could be the end of an era. Do you understand?

704
00:44:46,880 --> 00:44:50,160
Speaker 1: The Orange Man could be all done? That's right, I

705
00:44:50,160 --> 00:44:53,440
Speaker 1: don't know. We''ll have Sleepy Joe sliding into dementia for

706
00:44:53,440 --> 00:44:55,359
Speaker 1: the next four years if he makes it that long.

707
00:44:56,239 --> 00:44:58,560
Speaker 1: But what are my predictions for it? Well, I'll get

708
00:44:58,600 --> 00:45:00,960
Speaker 1: to that in a moment, And indeed I do have

709
00:45:01,000 --> 00:45:04,440
Speaker 1: some thoughts on the election in general. But first, why

710
00:45:04,440 --> 00:45:07,239
Speaker 1: don't we just see what's going on at this very

711
00:45:08,239 --> 00:45:12,600
Speaker 1: late hour, in this final sprint to election day. Now,

712
00:45:12,640 --> 00:45:15,000
Speaker 1: First of all, the most obvious thing that stands out

713
00:45:15,080 --> 00:45:18,920
Speaker 1: is the staggering early vote total. There has been a

714
00:45:18,960 --> 00:45:23,440
Speaker 1: record ninety seven point six million people who have already

715
00:45:23,520 --> 00:45:26,960
Speaker 1: voted by mail or in person, of course, as a

716
00:45:27,080 --> 00:45:30,080
Speaker 1: huge shift away from the one day voting that has

717
00:45:30,080 --> 00:45:34,640
Speaker 1: been the staple of the American electoral system. So they

718
00:45:34,680 --> 00:45:37,359
Speaker 1: do believe that total turnout when it's all said and done,

719
00:45:37,360 --> 00:45:41,280
Speaker 1: we'll break the records set in twenty sixteen when nearly

720
00:45:41,400 --> 00:45:45,880
Speaker 1: one hundred and thirty nine million people voted. Of course,

721
00:45:46,040 --> 00:45:50,440
Speaker 1: the legal wrangling has already started. We've already had a

722
00:45:50,480 --> 00:45:54,040
Speaker 1: federal judge in Texas on Monday reject Republican efforts to

723
00:45:54,040 --> 00:45:57,200
Speaker 1: invalidate more than one hundred and twenty seven thousand votes

724
00:45:57,200 --> 00:46:02,359
Speaker 1: that were cast at drive through locations in a Democratic stronghold.

725
00:46:02,880 --> 00:46:05,319
Speaker 1: And of course there is the odd site of all

726
00:46:05,360 --> 00:46:09,239
Speaker 1: the plywood going up in Washington and other cities, of course,

727
00:46:09,239 --> 00:46:11,799
Speaker 1: amid fears that passions are being stirred up by the

728
00:46:11,800 --> 00:46:14,440
Speaker 1: campaign that could lead to unrest or even violence. Some

729
00:46:14,480 --> 00:46:17,959
Speaker 1: states writing members of the National Guard and I had

730
00:46:18,000 --> 00:46:21,080
Speaker 1: to love you guys, all of the blue check morons

731
00:46:21,120 --> 00:46:24,000
Speaker 1: on Twitter, so they're going, oh, look at this. Did

732
00:46:24,040 --> 00:46:26,239
Speaker 1: you ever see we'd think he boarded up windows in

733
00:46:26,280 --> 00:46:29,839
Speaker 1: trumps America? And I'm like, dummy, why do you think

734
00:46:29,880 --> 00:46:33,720
Speaker 1: they're boarding up windows. It's not because they're worried about Republicans,

735
00:46:33,800 --> 00:46:38,719
Speaker 1: that's for sure. Smart guy. God, they're so stupid. I mean,

736
00:46:38,760 --> 00:46:43,399
Speaker 1: I have honestly been amazed at the sheer stupidity of

737
00:46:43,440 --> 00:46:46,719
Speaker 1: the media punted class, and not only that, how much

738
00:46:46,800 --> 00:46:49,839
Speaker 1: money they make. It's shocking to me, Like they are

739
00:46:49,880 --> 00:46:53,359
Speaker 1: so stupid. They have like communications degrees if that from

740
00:46:53,480 --> 00:46:57,239
Speaker 1: like lower tier colleges, not like myself, who went to

741
00:46:57,320 --> 00:47:02,040
Speaker 1: a prestigious liberal arts universe with a very demanding degree

742
00:47:02,120 --> 00:47:05,400
Speaker 1: on my dad. But these people are just so dumb,

743
00:47:05,840 --> 00:47:08,640
Speaker 1: and they really think they're being clever when they talk

744
00:47:08,680 --> 00:47:11,440
Speaker 1: about Trump's America with the boarded up windows, Like we

745
00:47:11,520 --> 00:47:14,480
Speaker 1: didn't all just watch six months of rioting, arson and

746
00:47:14,560 --> 00:47:17,640
Speaker 1: looting from far leftists and Black Lives Matter people. Get

747
00:47:17,640 --> 00:47:22,600
Speaker 1: out of here with that? So what else is happening?

748
00:47:22,600 --> 00:47:24,799
Speaker 1: You've been seeing Trump barnstorming in the place. I mean,

749
00:47:24,840 --> 00:47:26,600
Speaker 1: my god, you guys, if I don't care if you

750
00:47:26,680 --> 00:47:29,680
Speaker 1: love Trump or hate Trump, the man's stamina is unbelievable.

751
00:47:29,760 --> 00:47:31,520
Speaker 1: Did you see last night? I was so I was watching.

752
00:47:31,520 --> 00:47:34,200
Speaker 1: I'm here in San Diego, so I'm sitting here watching

753
00:47:34,360 --> 00:47:37,840
Speaker 1: I was watching the rally, was it Sunday night in Miami.

754
00:47:38,280 --> 00:47:41,359
Speaker 1: That was his fifth rally of the day and it

755
00:47:41,440 --> 00:47:44,480
Speaker 1: was like a local time Miami. I think it was

756
00:47:44,520 --> 00:47:47,280
Speaker 1: like almost one am. And Trump is sitting there shrieking

757
00:47:47,280 --> 00:47:52,120
Speaker 1: about killing terrorists. And I'm like, contrast that with sleepy Joe,

758
00:47:52,120 --> 00:47:53,960
Speaker 1: who'd probably been in bed by then, by it for

759
00:47:54,040 --> 00:47:58,760
Speaker 1: like seven hours. And Trump's talking about smoking Middle Eastern

760
00:47:58,880 --> 00:48:01,239
Speaker 1: terrorists that like almost one am in front of like

761
00:48:01,280 --> 00:48:04,640
Speaker 1: twenty five thousand Cubans in Miami. It was pretty something,

762
00:48:04,640 --> 00:48:08,759
Speaker 1: pretty pretty wild. But yeah, this is going to be

763
00:48:09,080 --> 00:48:12,879
Speaker 1: an intense election, that's for sure. Of course, coronavirus that

764
00:48:13,040 --> 00:48:14,879
Speaker 1: is going to take front and center on it. That's

765
00:48:14,840 --> 00:48:17,319
Speaker 1: going really gonna be a referendum on him, and we'll

766
00:48:17,320 --> 00:48:20,160
Speaker 1: see what happens. And it's funny with the coronavirus. Every

767
00:48:20,160 --> 00:48:22,640
Speaker 1: president Obama's ripping him on it and Joe Biden's ripping

768
00:48:22,680 --> 00:48:25,600
Speaker 1: him on it. And the ugly truth is like, no

769
00:48:25,680 --> 00:48:28,200
Speaker 1: matter what anybody would have done, the coronavirus is going

770
00:48:28,280 --> 00:48:32,400
Speaker 1: to do what it did. And Trump to Trump on

771
00:48:32,480 --> 00:48:39,319
Speaker 1: Monday was also doing another five rally sprint. Pretty crazy. Again.

772
00:48:39,360 --> 00:48:43,960
Speaker 1: The man's stamina is just unbelievable. So what else is

773
00:48:44,000 --> 00:48:46,960
Speaker 1: going on. Trump is claiming again that the mail in

774
00:48:47,080 --> 00:48:50,520
Speaker 1: ballots are subject to rampant fraud, despite overwhelming evidence that

775
00:48:50,520 --> 00:48:52,319
Speaker 1: that is not true. Well that's what the New York

776
00:48:52,320 --> 00:48:55,239
Speaker 1: Times is writing. It is funny. You know, in California

777
00:48:55,280 --> 00:48:58,279
Speaker 1: we legalized ballot harvesting out here, of course, so yes,

778
00:48:58,360 --> 00:49:00,799
Speaker 1: technically it's not against the loss. You can't really say it,

779
00:49:00,840 --> 00:49:04,040
Speaker 1: call it fraud per se, because we legalize the fraud.

780
00:49:06,239 --> 00:49:08,200
Speaker 1: Let's see what else is going on about the election.

781
00:49:08,280 --> 00:49:12,719
Speaker 1: Joe Biden is wrapping up his campaign in western Pennsylvania. He,

782
00:49:13,080 --> 00:49:15,560
Speaker 1: in contrast to Trump, is doing all these silly drive

783
00:49:15,640 --> 00:49:21,480
Speaker 1: in rallies. But yeah, he's got Lady Gaga performing there.

784
00:49:21,520 --> 00:49:25,480
Speaker 1: You probably saw Lady Gaga with that dopey truck commercial.

785
00:49:26,960 --> 00:49:32,160
Speaker 1: That's so funny. Yeah, old sleepy Joe. And Kamala Harris

786
00:49:32,239 --> 00:49:35,800
Speaker 1: is out there in Philadelphia. She is trying to rally

787
00:49:35,800 --> 00:49:38,960
Speaker 1: the troops. She's the phoniest person in politics if you

788
00:49:39,000 --> 00:49:41,239
Speaker 1: ask me so. Just a few thoughts about the election.

789
00:49:41,280 --> 00:49:42,759
Speaker 1: Am I gonna make a prediction. We'll get to that

790
00:49:42,760 --> 00:49:45,720
Speaker 1: in a moment. First of all, as I said multiple times,

791
00:49:46,760 --> 00:49:49,279
Speaker 1: we have been conditioned. You understand, you got to break

792
00:49:49,280 --> 00:49:52,480
Speaker 1: tough conditioning. You're being conditioned by the media. You're being

793
00:49:52,480 --> 00:49:56,440
Speaker 1: emotionally manipulated to think that this is like life and

794
00:49:56,520 --> 00:49:59,240
Speaker 1: death when it's not. Your life is not going to change.

795
00:49:59,520 --> 00:50:02,359
Speaker 1: If Donald Trump loses tomorrow, My life is not going

796
00:50:02,400 --> 00:50:06,799
Speaker 1: to change at all. If Joe Biden wins again, my

797
00:50:06,880 --> 00:50:09,000
Speaker 1: life is not going to change. If Donald Trump wins,

798
00:50:09,040 --> 00:50:10,840
Speaker 1: my life is not gonna change. It's not gonna nothing

799
00:50:10,960 --> 00:50:13,360
Speaker 1: is going to happen. And it's not going to change

800
00:50:13,360 --> 00:50:16,680
Speaker 1: for you either. But you've been you've been conditioned by

801
00:50:16,680 --> 00:50:19,960
Speaker 1: a media who's absolutely drunk on the revenue it has

802
00:50:20,000 --> 00:50:22,360
Speaker 1: gotten by flogging Donald Trump. And I don't know what

803
00:50:22,400 --> 00:50:26,399
Speaker 1: they're gonna do if he's gone. Well, you know, it's

804
00:50:26,440 --> 00:50:30,399
Speaker 1: funny because Trump, if he loses, it's not like he's

805
00:50:30,440 --> 00:50:33,239
Speaker 1: gonna stop. You know, the tweets are going to continue,

806
00:50:33,280 --> 00:50:36,800
Speaker 1: the rallies are going to continue. That's clearly his favorite

807
00:50:36,800 --> 00:50:40,200
Speaker 1: part about being president. Why would he stop that? And

808
00:50:40,280 --> 00:50:42,000
Speaker 1: you know what the other thing is, I was thinking

809
00:50:42,040 --> 00:50:44,600
Speaker 1: about this the other day. For all the people who

810
00:50:44,640 --> 00:50:47,960
Speaker 1: are obsessed with the president, like, do you not know

811
00:50:48,080 --> 00:50:52,759
Speaker 1: it's deeply unmasculine to me to be that obsessed about

812
00:50:52,840 --> 00:50:56,239
Speaker 1: another grown man, Like I'm a grown man, right, I

813
00:50:56,320 --> 00:51:00,200
Speaker 1: have a child, I've paid taxes of a veteran. I

814
00:51:00,239 --> 00:51:02,960
Speaker 1: think it's so like you. If you are that obsessed

815
00:51:03,000 --> 00:51:06,400
Speaker 1: about another dude, you're a total simp. You are like

816
00:51:06,600 --> 00:51:10,520
Speaker 1: freaking get a life, dude. And not to mention, the

817
00:51:10,640 --> 00:51:12,880
Speaker 1: president really doesn't have that much effect on your day

818
00:51:12,880 --> 00:51:16,439
Speaker 1: to day life. He just doesn't, but people act like

819
00:51:16,600 --> 00:51:21,160
Speaker 1: he is. This just like omniscent presence in their life.

820
00:51:21,239 --> 00:51:25,040
Speaker 1: It's like your city council person, your mayor, has way

821
00:51:25,080 --> 00:51:29,279
Speaker 1: more control over your life than Donald Trump ever does.

822
00:51:30,120 --> 00:51:32,759
Speaker 1: So that being said, what do I think is going

823
00:51:32,800 --> 00:51:35,680
Speaker 1: to happen? Well, a couple of things. I do think

824
00:51:35,800 --> 00:51:38,600
Speaker 1: Trump is going to do very well in California. No,

825
00:51:38,640 --> 00:51:41,000
Speaker 1: he's not going to win California, but I think he

826
00:51:41,040 --> 00:51:45,080
Speaker 1: will get more raw votes from California voters than any

827
00:51:45,120 --> 00:51:48,040
Speaker 1: president has ever gotten. Second of all, I do think

828
00:51:48,040 --> 00:51:50,560
Speaker 1: Trump is going to do well with black voters as well.

829
00:51:51,160 --> 00:51:55,600
Speaker 1: I think Trump is going to win Florida. And I

830
00:51:56,280 --> 00:51:59,080
Speaker 1: full disclosure you guys. In twenty sixteen, I did vote

831
00:51:59,080 --> 00:52:01,399
Speaker 1: for Trump because it against Hillary Clinton, Who's no way

832
00:52:01,440 --> 00:52:03,799
Speaker 1: in hell I's gonna go over him, And I did

833
00:52:04,520 --> 00:52:08,000
Speaker 1: not think Trump was gonna win, an he won, so

834
00:52:08,600 --> 00:52:11,919
Speaker 1: just for the hell of it, my brain, I see,

835
00:52:11,920 --> 00:52:14,320
Speaker 1: I've been conditioned too. I've got to break the conditioning

836
00:52:14,800 --> 00:52:17,200
Speaker 1: because all the polling says that Joe Biden should win

837
00:52:17,280 --> 00:52:20,560
Speaker 1: this easily. That's what the polls said. Indeed, if Ronald

838
00:52:20,600 --> 00:52:23,600
Speaker 1: Trump ends up winning, the polling industry is dead, dead dead.

839
00:52:23,719 --> 00:52:26,120
Speaker 1: It's dead and buried like it never happened, because it

840
00:52:26,280 --> 00:52:30,360
Speaker 1: is just completely useless after this. But all the polls

841
00:52:30,360 --> 00:52:33,160
Speaker 1: say Joe Biden should win easily. But I mean, I

842
00:52:33,280 --> 00:52:35,600
Speaker 1: look around. I look at these rallies, you guys. I

843
00:52:35,640 --> 00:52:39,000
Speaker 1: look at I look at the ninety six mile convoy

844
00:52:39,040 --> 00:52:43,280
Speaker 1: of Trump trucks in Arizona. I see fifty thousand people

845
00:52:43,840 --> 00:52:46,880
Speaker 1: in freezing cold weather to hang out at a rally.

846
00:52:47,760 --> 00:52:50,920
Speaker 1: I see like twenty five thousand frigging Cubans in Miami

847
00:52:50,960 --> 00:52:52,880
Speaker 1: going and I look at all these scenes, and I

848
00:52:52,920 --> 00:52:55,360
Speaker 1: just can't believe in my heart that Trump is that

849
00:52:55,480 --> 00:53:00,160
Speaker 1: far behind. I cannot believe he's gonna lose. So let

850
00:53:00,160 --> 00:53:02,160
Speaker 1: be said here on the radio, what the hell my

851
00:53:02,239 --> 00:53:04,960
Speaker 1: brain says Biden. But no, I'm gonna go at the heart. Yes,

852
00:53:05,280 --> 00:53:09,480
Speaker 1: sure Trump will pull it out in the victory in

853
00:53:09,560 --> 00:53:12,160
Speaker 1: the electoral College, Joe Biden will probably get vastly more

854
00:53:12,239 --> 00:53:16,080
Speaker 1: votes nationwide. And if I'm wrong, who cares? It doesn't matter.

855
00:53:16,440 --> 00:53:19,919
Speaker 1: You know what matters in America, green baby money. This

856
00:53:20,000 --> 00:53:23,239
Speaker 1: is the land of opportunity, the land of money. All

857
00:53:23,239 --> 00:53:25,759
Speaker 1: that matters in America is getting paid. And that's what

858
00:53:25,920 --> 00:53:28,279
Speaker 1: matters the most. And regardless of who the president is,

859
00:53:28,400 --> 00:53:31,279
Speaker 1: that's going to happen more after this on Jesse Kelly Show.

860
00:53:40,640 --> 00:53:44,799
Speaker 1: Gold Alliance they have been doing it and doing it

861
00:53:44,880 --> 00:53:49,000
Speaker 1: well for so long. They now have an A plus

862
00:53:49,080 --> 00:53:52,279
Speaker 1: rating with a better Business Bureau. I would not tell

863
00:53:52,400 --> 00:53:54,880
Speaker 1: you to take that money that you work so hard

864
00:53:54,920 --> 00:53:57,680
Speaker 1: for and just toss it up after some fly by

865
00:53:57,760 --> 00:53:59,640
Speaker 1: night company. I would never ever do that to you.

866
00:54:00,160 --> 00:54:04,160
Speaker 1: But Gold Alliance, they will care for you. And I

867
00:54:04,239 --> 00:54:08,239
Speaker 1: love the emails I've already gotten from people about how

868
00:54:08,320 --> 00:54:12,600
Speaker 1: easy Gold Alliance makes it. It really is painless. I

869
00:54:12,719 --> 00:54:18,000
Speaker 1: know it's money. It's uncomfortable. I know it's weird to

870
00:54:18,360 --> 00:54:23,040
Speaker 1: add something else to your portfolio, but it's nice. Isn't

871
00:54:23,040 --> 00:54:26,480
Speaker 1: it nice having that peace of mind knowing you have

872
00:54:27,000 --> 00:54:30,000
Speaker 1: some form of hard asset there when they're printing money

873
00:54:30,040 --> 00:54:34,840
Speaker 1: by the trillion. Go to gold Alliance dot com slash Jesse.

874
00:54:35,400 --> 00:54:38,680
Speaker 1: That's gold Alliance dot com slash Jesse. Go get your

875
00:54:38,719 --> 00:54:54,359
Speaker 1: gold ira and get it now. Let's keep going here

876
00:54:54,360 --> 00:54:57,239
Speaker 1: on the Jesse Kelly Show with our political round up.

877
00:54:57,280 --> 00:54:59,759
Speaker 1: Here you guys, b K filling in for Jesse on

878
00:54:59,760 --> 00:55:03,560
Speaker 1: the podcast World News with b K. I always include

879
00:55:03,600 --> 00:55:06,320
Speaker 1: a political roundup where I play some of my favorite clips,

880
00:55:06,360 --> 00:55:08,640
Speaker 1: and in honor of the election coming up, I do

881
00:55:08,880 --> 00:55:12,239
Speaker 1: have a few last minute clips here with the candidates

882
00:55:12,320 --> 00:55:15,799
Speaker 1: making their pitches. So why don't we start with Let's

883
00:55:15,800 --> 00:55:17,560
Speaker 1: see what do I have here lined up? Let's start

884
00:55:17,600 --> 00:55:22,560
Speaker 1: with Sleepy Joe in Pittsburgh. Let's see what he says here.

885
00:55:23,239 --> 00:55:27,479
Speaker 1: There you go, and folks, I'm a feeling we're coming

886
00:55:27,520 --> 00:55:36,640
Speaker 1: together for a big win tomorrow. Yeah, my lord, there's

887
00:55:36,680 --> 00:55:39,239
Speaker 1: a lot of out here in this cold night. Thank you.

888
00:55:39,680 --> 00:55:42,320
Speaker 1: And by the way, in the parking garage, don't jump,

889
00:55:42,440 --> 00:55:47,120
Speaker 1: I need you, don't jump. Okay, that was an awkward joke.

890
00:55:47,200 --> 00:55:49,520
Speaker 1: He was telling not to jump out of the parking garage. Lee,

891
00:55:49,600 --> 00:55:53,680
Speaker 1: did you see that the first lady Milania Trump, she

892
00:55:53,840 --> 00:55:57,359
Speaker 1: came out and made a speech looking banging. By the way, man,

893
00:55:57,719 --> 00:56:01,200
Speaker 1: you know what, it is only appropriate that America has

894
00:56:01,239 --> 00:56:03,440
Speaker 1: the hottest first lady, that's for sure. I mean, we

895
00:56:03,520 --> 00:56:05,279
Speaker 1: can't and at this point, don't you feel like we

896
00:56:05,400 --> 00:56:08,040
Speaker 1: can't really go backwards in terms of first lady hotness?

897
00:56:08,080 --> 00:56:10,920
Speaker 1: I mean the standard has been kind of set, So

898
00:56:10,960 --> 00:56:12,600
Speaker 1: I don't know how we go from her to like,

899
00:56:12,680 --> 00:56:16,720
Speaker 1: you know, if it's going to be Joe Biden, Oh god,

900
00:56:17,239 --> 00:56:19,680
Speaker 1: and then after her, like we can't have you know,

901
00:56:19,760 --> 00:56:21,799
Speaker 1: Mike Pence has got to step up his game. I mean,

902
00:56:22,160 --> 00:56:24,480
Speaker 1: I'm sure Karen Pence is a fine woman, but still, bro,

903
00:56:24,640 --> 00:56:28,359
Speaker 1: come on, here is Milannia Trump making a speech about

904
00:56:28,400 --> 00:56:31,400
Speaker 1: Joe Biden. Why should we trust Joe Biden when he

905
00:56:31,520 --> 00:56:37,440
Speaker 1: suggests he can do a better job. Oh, all you

906
00:56:37,520 --> 00:56:40,200
Speaker 1: have to do is look back on his forty seven

907
00:56:40,360 --> 00:56:45,359
Speaker 1: years in political life to determine whether you think he's

908
00:56:45,400 --> 00:56:50,439
Speaker 1: suddenly capable of putting the American people first. Oh man,

909
00:56:50,520 --> 00:56:52,160
Speaker 1: she's so, you know, I think that's the most I've

910
00:56:52,200 --> 00:56:56,560
Speaker 1: actually ever heard Milannia Trump speak. And then, of course,

911
00:56:56,640 --> 00:57:00,880
Speaker 1: campaigning for Sleepy Joe was a former president Barack Obama.

912
00:57:00,880 --> 00:57:02,600
Speaker 1: I got a few from him. Let's listen to Obama.

913
00:57:02,640 --> 00:57:12,280
Speaker 1: One word for you, Atlanta tomorrow. Tomorrow, tomorrow, after four

914
00:57:12,360 --> 00:57:20,240
Speaker 1: years a failure, you have the power to change America tomorrow.

915
00:57:20,240 --> 00:57:23,320
Speaker 1: You can put an end to the politics that tries

916
00:57:23,720 --> 00:57:27,920
Speaker 1: to divide a nation just to win an election, that

917
00:57:28,080 --> 00:57:32,040
Speaker 1: tries to stoke conspiracy theories and fear at a time

918
00:57:32,040 --> 00:57:36,000
Speaker 1: when we need competence and we need hope, conspiracy theories.

919
00:57:36,000 --> 00:57:38,440
Speaker 1: That's funny. That's funny that Obama says that, because you know,

920
00:57:38,600 --> 00:57:42,000
Speaker 1: over the weekend's podcast, I was playing clips of Obama

921
00:57:42,080 --> 00:57:45,400
Speaker 1: and he's still sticking by that conspiracy theory about the

922
00:57:45,440 --> 00:57:48,600
Speaker 1: Russian bounties on our troops in Afghanistan. Yeah, I know,

923
00:57:48,800 --> 00:57:50,880
Speaker 1: that's that's see you guys, you guys see how the

924
00:57:50,880 --> 00:57:56,360
Speaker 1: conspiracy theories become settled gospel among the resistance circles. Now, Yeah,

925
00:57:56,400 --> 00:57:59,840
Speaker 1: even after being thoroughly debunked by not only the media,

926
00:58:00,080 --> 00:58:03,840
Speaker 1: but the commanding general of Afghanistan Forces, who you would

927
00:58:03,880 --> 00:58:08,240
Speaker 1: think would probably know that conspiracy theory that there's uh

928
00:58:08,280 --> 00:58:11,600
Speaker 1: that putin put bounties on our troops heads in Afghanistan,

929
00:58:11,800 --> 00:58:14,400
Speaker 1: is still taking his gospel in a resistance and even

930
00:58:14,440 --> 00:58:18,160
Speaker 1: like Obama is making speeches about it. So it's really

931
00:58:18,720 --> 00:58:24,840
Speaker 1: frigging rich to hear Obama talking about conspiracy theories, I

932
00:58:24,880 --> 00:58:27,360
Speaker 1: actually think I have. Do I have more from Obama? Yeah?

933
00:58:27,360 --> 00:58:31,040
Speaker 1: I have another Obama. Here's here's one more from Obama

934
00:58:31,600 --> 00:58:35,440
Speaker 1: talking about Joe Biden and Kamala Harris. Let's say, and

935
00:58:35,480 --> 00:58:38,800
Speaker 1: here's another thing with John Kamala at the Helm. This

936
00:58:38,880 --> 00:58:41,440
Speaker 1: is a big benefit, Michelle. And now we're talking about

937
00:58:41,440 --> 00:58:44,560
Speaker 1: this over dinner the other day. You're not gonna have

938
00:58:44,640 --> 00:58:48,880
Speaker 1: to think about them every day. You're not gonna have

939
00:58:48,920 --> 00:58:54,200
Speaker 1: to argue with your family about them every day. It

940
00:58:54,240 --> 00:58:58,280
Speaker 1: won't be so exhausting. You'll be able to get on

941
00:58:58,360 --> 00:59:01,120
Speaker 1: with your lives knowing that the president is not going

942
00:59:01,160 --> 00:59:06,080
Speaker 1: to suggest we inject bleach as a possible cure of comment. Yeah, okay,

943
00:59:06,120 --> 00:59:08,400
Speaker 1: that's fun. That's funny. Actually, and again, do you see

944
00:59:08,400 --> 00:59:11,600
Speaker 1: what I see what I'm talking about? He never said that. God,

945
00:59:12,520 --> 00:59:16,000
Speaker 1: it's unbelievable. You know, that's one of my favorite things

946
00:59:16,040 --> 00:59:19,200
Speaker 1: from actually All the Resistance. They really reveal how their

947
00:59:19,240 --> 00:59:22,600
Speaker 1: own pathology is there and how mentally unstable they are.

948
00:59:22,640 --> 00:59:24,720
Speaker 1: Because you know, you've all you've all seen the headlines

949
00:59:24,840 --> 00:59:26,920
Speaker 1: right from New York Times and all the blue checks

950
00:59:26,960 --> 00:59:31,240
Speaker 1: on Twitter, and it's always something along the lines of, oh,

951
00:59:31,520 --> 00:59:35,840
Speaker 1: we're all frazzled, We're all just after four years, were exhausted.

952
00:59:35,840 --> 00:59:39,840
Speaker 1: It's like, no, no, we were we who's we? Chemosabi?

953
00:59:40,320 --> 00:59:45,000
Speaker 1: You are because you're a mentally fragile man baby. That's why.

954
00:59:45,360 --> 00:59:47,760
Speaker 1: Who has nothing else going on in their life and

955
00:59:47,800 --> 00:59:51,439
Speaker 1: who's so unmasculine he has to look to another man

956
00:59:51,800 --> 00:59:56,000
Speaker 1: for purpose in his life. There's no we here. I'm

957
00:59:56,000 --> 00:59:59,720
Speaker 1: perfectly happy. I'm not frazzled at all. I am not

958
01:00:00,040 --> 01:00:02,760
Speaker 1: weary at all. I like thinking about that. I like

959
01:00:02,880 --> 01:00:05,880
Speaker 1: talking politics. It doesn't bother me at all, do you

960
01:00:05,920 --> 01:00:08,400
Speaker 1: know what I'm saying? So they really, they really reveal

961
01:00:08,480 --> 01:00:13,600
Speaker 1: their own mental instabilities when they're talking about this. We

962
01:00:15,520 --> 01:00:18,560
Speaker 1: our nation is exhausted, you know, lots of headlines in

963
01:00:18,560 --> 01:00:21,080
Speaker 1: that vein. I'm not exhausted at all. I love this guy.

964
01:00:21,120 --> 01:00:22,960
Speaker 1: I love this stuff. I could do it every day.

965
01:00:23,000 --> 01:00:25,240
Speaker 1: I could do four more years of Trump easily. I

966
01:00:25,280 --> 01:00:28,760
Speaker 1: don't care. I don't let another man dictate how I

967
01:00:28,800 --> 01:00:32,880
Speaker 1: live my life. And if you do again, you're a simp. Bro,

968
01:00:33,320 --> 01:00:37,200
Speaker 1: You're a simp. Might as well just put on a

969
01:00:37,280 --> 01:00:39,680
Speaker 1: dress and call it a day. Go down to the

970
01:00:39,720 --> 01:00:47,160
Speaker 1: local Bathhouse's embarrassing, honestly. And they let these people on

971
01:00:47,240 --> 01:00:50,919
Speaker 1: TV and it they emote. They emote all over TV.

972
01:00:51,400 --> 01:00:57,959
Speaker 1: It's freaking embarrassing. Grow up, all right, let me see

973
01:00:57,960 --> 01:01:01,360
Speaker 1: what else do I have here. Let's go to this one.

974
01:01:01,400 --> 01:01:02,760
Speaker 1: Here's Joe Biden. I don't know where he is in

975
01:01:02,880 --> 01:01:04,680
Speaker 1: this one, but here he's kind of slurring his way

976
01:01:04,680 --> 01:01:06,840
Speaker 1: through the speech. That should be funny. It's our workers

977
01:01:06,840 --> 01:01:10,360
Speaker 1: are three times as productive as other worker. We had

978
01:01:10,400 --> 01:01:13,280
Speaker 1: the biggest economy in the world. We had the strongest

979
01:01:13,320 --> 01:01:15,600
Speaker 1: military in the history of the world. We had the

980
01:01:15,640 --> 01:01:19,600
Speaker 1: most innovative entrepreneurs in the world, and we are virtually

981
01:01:19,720 --> 01:01:23,200
Speaker 1: energy independent. We have more great research universities in America

982
01:01:23,360 --> 01:01:26,280
Speaker 1: than all the rest of the world combined, out of

983
01:01:26,320 --> 01:01:31,840
Speaker 1: which all these doing adventions of Kurt I love. I

984
01:01:31,880 --> 01:01:33,760
Speaker 1: love how he says, wait a minute, wait away, he's

985
01:01:33,800 --> 01:01:35,960
Speaker 1: talking about how we're energy independent. How does he think

986
01:01:36,000 --> 01:01:38,440
Speaker 1: we got to be energy independent? Hey, Joe, how do

987
01:01:38,480 --> 01:01:42,120
Speaker 1: you think we got to be energy independent? Yeah, that's right.

988
01:01:42,160 --> 01:01:44,240
Speaker 1: We fracked the hell out of the ground. That's how

989
01:01:44,280 --> 01:01:46,360
Speaker 1: we got to be energy independent. We did a lot

990
01:01:46,400 --> 01:01:50,120
Speaker 1: of fracking, which you have vowed to ban, even though

991
01:01:50,160 --> 01:01:52,640
Speaker 1: you're now saying you didn't, but you did. It's on video.

992
01:01:52,720 --> 01:01:56,200
Speaker 1: Come on, stop, we all know you said it, all right,

993
01:01:56,200 --> 01:01:58,880
Speaker 1: and then let's finish up briefly here with Trump. Here

994
01:01:58,920 --> 01:02:03,400
Speaker 1: we go. A vote for Biden is a vote for lockdowns, layoffs,

995
01:02:03,480 --> 01:02:07,240
Speaker 1: and misery. If you want a vaccine to kill the virus,

996
01:02:07,400 --> 01:02:10,840
Speaker 1: a job to support your family well, and freedom to

997
01:02:10,920 --> 01:02:14,439
Speaker 1: live your life, then go cast your ballot for a

998
01:02:14,480 --> 01:02:21,080
Speaker 1: man named Trump, all right, man named Trump. I don't know, guys,

999
01:02:21,200 --> 01:02:22,960
Speaker 1: what do you think is the Orange man gonna pull

1000
01:02:23,000 --> 01:02:26,040
Speaker 1: it off? I don't know. I just I don't know.

1001
01:02:26,160 --> 01:02:28,920
Speaker 1: I don't know if you will or not. But I

1002
01:02:28,960 --> 01:02:31,240
Speaker 1: do know this. I do know that there's no way

1003
01:02:31,480 --> 01:02:34,040
Speaker 1: Joe Biden does four years. There is no way. I

1004
01:02:34,040 --> 01:02:38,680
Speaker 1: mean if you go back and look at when he

1005
01:02:38,720 --> 01:02:41,120
Speaker 1: was running in two thousand and eight with Barack Obama.

1006
01:02:41,560 --> 01:02:44,600
Speaker 1: I mean, the decline is obvious. I've said it before

1007
01:02:44,680 --> 01:02:48,880
Speaker 1: on my podcast and on Jesse's show. It's not I'm

1008
01:02:48,880 --> 01:02:51,760
Speaker 1: not trying to be cruel here. It's not a slam

1009
01:02:51,760 --> 01:02:55,280
Speaker 1: on the man Father. Time comes for us, all Okay,

1010
01:02:55,440 --> 01:02:59,400
Speaker 1: you got to know your limitations and frankly it's kind

1011
01:02:59,400 --> 01:03:01,920
Speaker 1: of embarrassing the way they're like shuffling this old man

1012
01:03:02,040 --> 01:03:03,640
Speaker 1: up and around the stage. I mean, you look at

1013
01:03:03,680 --> 01:03:05,800
Speaker 1: him on the stage. Half the time, he's like he's

1014
01:03:05,800 --> 01:03:10,000
Speaker 1: like peering at the teleprompter, like like locked in, you know.

1015
01:03:11,280 --> 01:03:15,560
Speaker 1: I mean, it's bad. There's no way he lasts four years.

1016
01:03:15,560 --> 01:03:18,200
Speaker 1: And then what do we have. We've got that goof

1017
01:03:18,480 --> 01:03:23,640
Speaker 1: Kamala Harris, the biggest phony in political life. I'll still

1018
01:03:23,680 --> 01:03:30,080
Speaker 1: never forget how she, as district attorney in California, freed

1019
01:03:30,120 --> 01:03:32,840
Speaker 1: all the illegal aliens, including Edwin I believe his name

1020
01:03:32,920 --> 01:03:36,000
Speaker 1: is Edwin Ramos, who then went on to murder three

1021
01:03:36,040 --> 01:03:38,360
Speaker 1: people in the same family that was the Bologna family.

1022
01:03:38,400 --> 01:03:40,280
Speaker 1: I still remember that case. You guys probably never even

1023
01:03:40,360 --> 01:03:42,800
Speaker 1: heard of that. These cases don't get a lot of

1024
01:03:42,880 --> 01:03:47,320
Speaker 1: traction outside California, but it was such a heinous, brutal slang,

1025
01:03:47,680 --> 01:03:51,400
Speaker 1: and Kamala Harris didn't care. She would not care anything

1026
01:03:51,400 --> 01:03:54,919
Speaker 1: about dealing with any of these heinous criminals we have.

1027
01:03:55,640 --> 01:03:57,920
Speaker 1: She's the biggest phony in politics. She would be an

1028
01:03:57,960 --> 01:04:02,640
Speaker 1: unmitigated disaster. She's like completely left wing lunatic. And for

1029
01:04:02,680 --> 01:04:05,120
Speaker 1: all you people who's like, well, Joe Biden's pretty centrist.

1030
01:04:05,160 --> 01:04:07,160
Speaker 1: Let's be real here, Joe Biden is going to be

1031
01:04:07,240 --> 01:04:11,920
Speaker 1: weekend at Bernie's for four years while all his radical

1032
01:04:11,960 --> 01:04:14,439
Speaker 1: people in his administration run the show. Okay, well, guys,

1033
01:04:14,480 --> 01:04:32,760
Speaker 1: more politics after this. On The Jesse Kelly Show, wake

1034
01:04:32,840 --> 01:04:38,720
Speaker 1: up and text, Text and eat, Text and catch the bus,

1035
01:04:40,040 --> 01:04:44,280
Speaker 1: Text and miss your stop. Wait wait wait, Text and

1036
01:04:44,400 --> 01:04:49,960
Speaker 1: be late to work. Sorry, Text and work, Text and

1037
01:04:50,080 --> 01:04:54,400
Speaker 1: pretend to work. Text and x surprised when someone calls

1038
01:04:54,400 --> 01:04:57,680
Speaker 1: you out for not working. Text and meet up with

1039
01:04:57,680 --> 01:05:01,200
Speaker 1: a friend you haven't seen in forever. Hi. Okay, Text

1040
01:05:01,240 --> 01:05:03,080
Speaker 1: and complain that they're on their phone the whole time.

1041
01:05:04,720 --> 01:05:06,560
Speaker 1: Text and listen to them, complain that you're on your

1042
01:05:06,560 --> 01:05:12,520
Speaker 1: phone the whole time. Text and whatever. But when you

1043
01:05:12,600 --> 01:05:15,040
Speaker 1: get behind the wheel, give your phone to a passenger,

1044
01:05:15,440 --> 01:05:18,840
Speaker 1: put it in the glovebox. Just don't text and drive.

1045
01:05:19,720 --> 01:05:24,000
Speaker 1: Visit stop texts stoprex dot org. A public service announcement

1046
01:05:24,000 --> 01:05:26,800
Speaker 1: brought to you by the National Highway Traffic Safety Administration

1047
01:05:26,920 --> 01:05:43,680
Speaker 1: and the AD Council. All right, let's keep going here

1048
01:05:43,680 --> 01:05:46,600
Speaker 1: on the Jesse Kelly Show. B K sitting in here

1049
01:05:46,640 --> 01:05:49,000
Speaker 1: for Jesse again. You guys. Check out my social media

1050
01:05:49,160 --> 01:05:51,720
Speaker 1: at Bravo Kilo Actual on Twitter and you can look

1051
01:05:51,760 --> 01:05:54,320
Speaker 1: at my Instagram with all my cool guy pictures at

1052
01:05:54,400 --> 01:05:58,680
Speaker 1: BK Actual And please check out the podcast World News

1053
01:05:58,680 --> 01:06:02,400
Speaker 1: with BK you can find on Spotify, iTunes, YadA, YadA, YadA.

1054
01:06:02,440 --> 01:06:04,000
Speaker 1: You know, before the break, we were talking a lot

1055
01:06:04,040 --> 01:06:07,000
Speaker 1: about politics, and I was talking about like these pathologies

1056
01:06:07,000 --> 01:06:08,960
Speaker 1: that people reveal about themselves, and I thought, I want

1057
01:06:08,960 --> 01:06:11,840
Speaker 1: to talk about this a little bit more because it's

1058
01:06:11,880 --> 01:06:15,000
Speaker 1: something I'm fascinated with and I really don't think this

1059
01:06:15,160 --> 01:06:18,720
Speaker 1: didn't exist like ten years ago, because really social media

1060
01:06:18,880 --> 01:06:22,320
Speaker 1: has changed the game. And as somebody who's embraced social

1061
01:06:22,360 --> 01:06:24,600
Speaker 1: media completely, I mean, I'm in it all the time,

1062
01:06:25,080 --> 01:06:27,160
Speaker 1: all day long, i keep up on all the news.

1063
01:06:27,200 --> 01:06:30,439
Speaker 1: But it's fascinating to me to see how it has

1064
01:06:30,520 --> 01:06:32,960
Speaker 1: changed people on both the right hand left and people

1065
01:06:33,040 --> 01:06:36,320
Speaker 1: really do go down these rabbit holes and it's kind

1066
01:06:36,320 --> 01:06:38,800
Speaker 1: of insane to see the changes. And I have seen

1067
01:06:38,840 --> 01:06:42,600
Speaker 1: the changes on both sides. I've seen people going into

1068
01:06:42,640 --> 01:06:46,959
Speaker 1: the YouTube rabbit hole with the conspiracy theories, but far

1069
01:06:47,080 --> 01:06:51,560
Speaker 1: less discussed than that, I think are people who are

1070
01:06:51,600 --> 01:06:55,120
Speaker 1: being what else can you call it but radicalized. We're

1071
01:06:55,160 --> 01:06:59,000
Speaker 1: being radicalized and we're radicalizing each other with all of

1072
01:06:59,000 --> 01:07:03,160
Speaker 1: this nonsense on the Internet, and none of it really

1073
01:07:03,160 --> 01:07:05,080
Speaker 1: matters at the end of the day. That's what's crazy

1074
01:07:05,120 --> 01:07:08,200
Speaker 1: to me. I mean, on my podcast, this is the

1075
01:07:08,200 --> 01:07:10,680
Speaker 1: one that sticks out in my head. There was an

1076
01:07:10,680 --> 01:07:14,480
Speaker 1: Arizona congressman of some kind and he got a death

1077
01:07:14,520 --> 01:07:17,360
Speaker 1: threat on his voicemail box. And I played the audio

1078
01:07:17,440 --> 01:07:20,880
Speaker 1: of the voicemail, and they arrested the woman who does it,

1079
01:07:20,920 --> 01:07:23,240
Speaker 1: and it was basically this woman and she was like

1080
01:07:23,320 --> 01:07:26,560
Speaker 1: in her sixties. She was like a school teacher, like

1081
01:07:26,600 --> 01:07:30,080
Speaker 1: an elementary school teacher, and she's leaving a voicemail on

1082
01:07:30,240 --> 01:07:35,280
Speaker 1: dude's professional voicemail saying how she was going to take

1083
01:07:35,280 --> 01:07:37,280
Speaker 1: a gun down there and shoot him in the head.

1084
01:07:37,840 --> 01:07:39,920
Speaker 1: And I'm like, if you saw this chick on the street,

1085
01:07:39,960 --> 01:07:44,560
Speaker 1: no doubt, she looks like a very normal, nice, elderly lady, right,

1086
01:07:45,120 --> 01:07:48,440
Speaker 1: and yet she's leaving death threats on voicemail boxes. And

1087
01:07:48,480 --> 01:07:51,520
Speaker 1: it's like, how did we get here? And I really

1088
01:07:51,560 --> 01:07:54,160
Speaker 1: think a lot of it has been the media, which

1089
01:07:54,160 --> 01:07:57,040
Speaker 1: has been a complete disgrace. The only way they can

1090
01:07:57,080 --> 01:07:59,680
Speaker 1: make money is to whip up this resentment of anybody.

1091
01:07:59,720 --> 01:08:02,320
Speaker 1: So we've all been conditioned. We've all been all we're

1092
01:08:02,320 --> 01:08:04,840
Speaker 1: all being gas lit by the media to some extent.

1093
01:08:05,560 --> 01:08:09,360
Speaker 1: We're all being told that, you know, this is unprecedented

1094
01:08:09,520 --> 01:08:13,320
Speaker 1: times and it's an existential threat, which makes me laugh

1095
01:08:13,400 --> 01:08:15,360
Speaker 1: because if you guys, some of you veterans out there,

1096
01:08:15,440 --> 01:08:17,720
Speaker 1: it should make you laugh too. If you've ever been

1097
01:08:17,760 --> 01:08:22,080
Speaker 1: to Iraq or Afghanistan or any other third world country,

1098
01:08:23,000 --> 01:08:25,240
Speaker 1: it's a lot different. I mean, people there just worry

1099
01:08:25,240 --> 01:08:27,320
Speaker 1: about if they're going to get enough water to drink

1100
01:08:27,360 --> 01:08:29,920
Speaker 1: that day, you know, I mean, talk about some frigging perspective.

1101
01:08:30,200 --> 01:08:34,240
Speaker 1: But here, I don't know if it's if we're just soft.

1102
01:08:35,560 --> 01:08:37,920
Speaker 1: I know, a comrade of mine used to call it.

1103
01:08:38,040 --> 01:08:39,960
Speaker 1: He used a great phrase. He used to call it

1104
01:08:40,000 --> 01:08:42,560
Speaker 1: crippled by comfort. He's like, that's the biggest problem in

1105
01:08:42,600 --> 01:08:45,880
Speaker 1: the United States today. We're crippled by comfort. We really

1106
01:08:45,920 --> 01:08:49,519
Speaker 1: don't have a lot to do, and especially now, this

1107
01:08:49,720 --> 01:08:51,639
Speaker 1: is like a twenty twenty is like a perfect storm

1108
01:08:51,720 --> 01:08:56,840
Speaker 1: right between the coronavirus and the lockdowns and the media radicalization,

1109
01:08:56,960 --> 01:08:59,719
Speaker 1: and then you have the singular polarizing figure of Trump

1110
01:09:00,400 --> 01:09:04,519
Speaker 1: and it all led to this kind of like we're having.

1111
01:09:04,560 --> 01:09:07,639
Speaker 1: We're seeing these like pockets of craziness just develop all

1112
01:09:07,680 --> 01:09:09,719
Speaker 1: over the place and people go down these rabbit holes

1113
01:09:09,720 --> 01:09:12,320
Speaker 1: and the disinformation on top of that. It's a perfect storm,

1114
01:09:12,360 --> 01:09:15,920
Speaker 1: I'm telling you, and it's made us these people like

1115
01:09:16,080 --> 01:09:19,719
Speaker 1: just lose their damn minds and you have to step

1116
01:09:19,760 --> 01:09:23,080
Speaker 1: back from this and realize a lot of this stuff

1117
01:09:23,160 --> 01:09:27,000
Speaker 1: isn't even real. And you know what's crazy is that

1118
01:09:27,120 --> 01:09:31,080
Speaker 1: just the breaking like really really late. There was a

1119
01:09:31,160 --> 01:09:35,479
Speaker 1: story on Newsweek and it's titled the following. I want

1120
01:09:35,479 --> 01:09:38,160
Speaker 1: you guys to go google this headline quote, Joe Biden

1121
01:09:38,240 --> 01:09:41,839
Speaker 1: Kamala Harris got a big social media boost from Indian

1122
01:09:41,920 --> 01:09:46,760
Speaker 1: troll farms end quote, right, So what they're saying is

1123
01:09:46,840 --> 01:09:49,840
Speaker 1: Joe Biden's Twitter account got a sizeable boost beginning in

1124
01:09:49,880 --> 01:09:53,600
Speaker 1: August from tens of thousands of fake followers purchased on

1125
01:09:53,640 --> 01:09:58,639
Speaker 1: the open market from troll farms in rural India. Within

1126
01:09:58,720 --> 01:10:01,760
Speaker 1: two weeks of Biden's Kamala Harris is running me. On

1127
01:10:01,760 --> 01:10:05,880
Speaker 1: August twelfth, his Twitter following jumped by seven hundred and

1128
01:10:05,880 --> 01:10:09,000
Speaker 1: thirty eight thousand, five hundred ninety five new followers. That's

1129
01:10:09,000 --> 01:10:12,880
Speaker 1: a nine point one percent leap, and the number hit

1130
01:10:12,960 --> 01:10:20,280
Speaker 1: eleven million by the third week of October. So they

1131
01:10:20,320 --> 01:10:22,960
Speaker 1: say that a large number of these Twitter accounts, upon

1132
01:10:23,040 --> 01:10:26,920
Speaker 1: examination that followed Biden, appear to have been created exclusively

1133
01:10:27,040 --> 01:10:30,200
Speaker 1: just for that purpose, and a large number of the

1134
01:10:30,320 --> 01:10:34,720
Speaker 1: users are located in the small towns in rural India.

1135
01:10:35,000 --> 01:10:38,960
Speaker 1: I'm telling you nothing that this is real. That's why

1136
01:10:38,960 --> 01:10:40,960
Speaker 1: it makes me laugh when I see people like arguing

1137
01:10:41,000 --> 01:10:43,320
Speaker 1: on Twitter with somebody with like you know, their name is,

1138
01:10:43,320 --> 01:10:46,639
Speaker 1: like you know Jim seven five zero three one five

1139
01:10:46,840 --> 01:10:50,880
Speaker 1: six five, who has like five tweets, And I'm like,

1140
01:10:50,920 --> 01:10:52,960
Speaker 1: what are you? What are you doing? And I see

1141
01:10:53,000 --> 01:10:57,479
Speaker 1: people will go back and forth with this for like hours.

1142
01:10:57,520 --> 01:10:59,479
Speaker 1: Like I'm at a point now where I actually and

1143
01:10:59,760 --> 01:11:02,439
Speaker 1: if you're a follower of mine and you're a real person,

1144
01:11:02,479 --> 01:11:04,920
Speaker 1: I apologize, But I'm at a point now where I

1145
01:11:04,960 --> 01:11:07,200
Speaker 1: just don't engage with anybody who does not have a

1146
01:11:07,240 --> 01:11:09,479
Speaker 1: real picture. That's my advice to you, And that's what

1147
01:11:09,520 --> 01:11:13,759
Speaker 1: I would do, because it's just not worth it because

1148
01:11:14,000 --> 01:11:16,479
Speaker 1: you sound you come off like an idiot. That's what

1149
01:11:16,560 --> 01:11:18,920
Speaker 1: I mean. I knew there were bots, I didn't know

1150
01:11:18,920 --> 01:11:22,960
Speaker 1: it was to this extent. But yeah, they're saying that

1151
01:11:23,000 --> 01:11:25,719
Speaker 1: this is a this is insane. You can just buy

1152
01:11:25,800 --> 01:11:31,880
Speaker 1: these troll farm business and indeed, India's troll farm business

1153
01:11:31,920 --> 01:11:34,720
Speaker 1: is now one of the most decentralized and robust in

1154
01:11:34,880 --> 01:11:39,360
Speaker 1: the world. And they can offer nearly anything to paying customers.

1155
01:11:40,000 --> 01:11:45,120
Speaker 1: They can offer fake news, they can offer fake images, campaigns,

1156
01:11:45,520 --> 01:11:51,519
Speaker 1: incitements of violence, man, and and all it takes is

1157
01:11:51,520 --> 01:11:54,839
Speaker 1: a couple of computers and some time and an Internet connection.

1158
01:11:55,080 --> 01:11:59,320
Speaker 1: There you go. It's a fascinating article by Newsweek. I'm

1159
01:11:59,320 --> 01:12:02,320
Speaker 1: not going to get into the whole thing, but you

1160
01:12:02,360 --> 01:12:04,439
Speaker 1: can go check it out for yourself. And you know,

1161
01:12:04,600 --> 01:12:07,080
Speaker 1: the crazy thing is now they don't even need to

1162
01:12:07,280 --> 01:12:12,040
Speaker 1: like steal pictures. They can actually make computer generated pictures

1163
01:12:12,400 --> 01:12:14,080
Speaker 1: if they bother to put a picture up at all,

1164
01:12:14,080 --> 01:12:16,080
Speaker 1: which most of the time they don't even do. But

1165
01:12:16,200 --> 01:12:21,880
Speaker 1: half the time you just don't even know. So I'm

1166
01:12:21,920 --> 01:12:25,040
Speaker 1: just scrolling down here and yeah, a lot of this

1167
01:12:25,080 --> 01:12:27,400
Speaker 1: stuff is comes right out of India, and this is

1168
01:12:27,439 --> 01:12:31,679
Speaker 1: what they do for money. They just make this fake accounts.

1169
01:12:31,720 --> 01:12:34,360
Speaker 1: You have to just realize, you guys, nothing you see

1170
01:12:34,479 --> 01:12:37,080
Speaker 1: is real. And that's why it's so hard to stay

1171
01:12:37,080 --> 01:12:41,280
Speaker 1: and age with all the with all the polling, who knows,

1172
01:12:41,800 --> 01:12:44,320
Speaker 1: who know? The only polled accounts is the one I

1173
01:12:44,360 --> 01:12:47,280
Speaker 1: after election day. I mean, if I was king of

1174
01:12:47,280 --> 01:12:49,439
Speaker 1: the world, I would get rid of almost all of

1175
01:12:49,439 --> 01:12:51,680
Speaker 1: this nonsense with early voting and all that crap. I

1176
01:12:51,720 --> 01:12:56,080
Speaker 1: wouldn't do it. It just seems like it's it makes

1177
01:12:56,080 --> 01:12:58,960
Speaker 1: it so much more complicated than it has to be.

1178
01:12:59,080 --> 01:13:01,480
Speaker 1: I understand where in a weird time with the coronavirus,

1179
01:13:01,479 --> 01:13:06,080
Speaker 1: but still it's just a no go. Now. Quickly, before

1180
01:13:06,080 --> 01:13:07,439
Speaker 1: I ran out of time in this segment, I did

1181
01:13:07,560 --> 01:13:09,160
Speaker 1: want to address a few things. I know most of

1182
01:13:09,200 --> 01:13:13,240
Speaker 1: you guys are not in California, but there were a

1183
01:13:13,280 --> 01:13:16,599
Speaker 1: couple interesting ballot propositions out here that I thought we're

1184
01:13:16,880 --> 01:13:21,439
Speaker 1: worth mentioning. One is affirmative action is back on the ballot,

1185
01:13:22,080 --> 01:13:25,559
Speaker 1: and this is Proposition sixteen. Here. Now this comes. We

1186
01:13:25,720 --> 01:13:29,720
Speaker 1: banned this crap years ago. In nineteen ninety six, California

1187
01:13:29,800 --> 01:13:33,480
Speaker 1: voters enacted a ban on using race, gender, or ethnicity

1188
01:13:33,520 --> 01:13:38,160
Speaker 1: in university admissions or in public contracting. So Proposition sixteen

1189
01:13:38,280 --> 01:13:42,440
Speaker 1: would basically reverse all that. And of course the proponents

1190
01:13:42,479 --> 01:13:44,840
Speaker 1: are who's who lists of everybody in California, everybody who

1191
01:13:44,840 --> 01:13:47,599
Speaker 1: wants everybody wants it. All the schools want it all.

1192
01:13:47,640 --> 01:13:50,439
Speaker 1: The Hollywood people want it all, the government hacks want it.

1193
01:13:51,200 --> 01:13:54,080
Speaker 1: I mean, I thought we got beyond this. I mean

1194
01:13:54,120 --> 01:13:55,760
Speaker 1: that's twenty five years ago. We got rid of this,

1195
01:13:57,000 --> 01:14:01,879
Speaker 1: but now they want to bring it back. And so luckily,

1196
01:14:01,920 --> 01:14:04,519
Speaker 1: if it's a silver lining for you in the midst

1197
01:14:04,560 --> 01:14:07,599
Speaker 1: of all this, Poles again take with a grain of salt.

1198
01:14:07,600 --> 01:14:11,120
Speaker 1: They are poles, but Poles show this one is losing badly.

1199
01:14:12,160 --> 01:14:15,040
Speaker 1: I mean it's hard. We're in a very diverse state

1200
01:14:15,200 --> 01:14:17,400
Speaker 1: here in California. I mean, white people are in like

1201
01:14:17,400 --> 01:14:20,360
Speaker 1: thirty percent of the state, and nobody's trying to hear

1202
01:14:20,439 --> 01:14:24,479
Speaker 1: this crap about skin color. They're not trying to hear it.

1203
01:14:24,520 --> 01:14:26,720
Speaker 1: I mean, you're gonna tell like an Asian kid, you know,

1204
01:14:27,760 --> 01:14:30,639
Speaker 1: the Asian versus the Mexican versus the black kid versus

1205
01:14:30,680 --> 01:14:33,680
Speaker 1: the white guy. I mean, it's just it's absurd. And

1206
01:14:33,680 --> 01:14:35,519
Speaker 1: then how does it even work. What if you're like

1207
01:14:35,600 --> 01:14:39,360
Speaker 1: half black, who gets does does the quarter black guy

1208
01:14:39,479 --> 01:14:42,719
Speaker 1: outrank the half Asian guy? You know, you see, absurd,

1209
01:14:42,760 --> 01:14:45,479
Speaker 1: it can get It's just stupid. And then of course

1210
01:14:45,520 --> 01:14:48,080
Speaker 1: the other big ballot proposition on here is the proposition

1211
01:14:48,120 --> 01:14:52,400
Speaker 1: twenty two, and that's the basically the Uber one. This

1212
01:14:54,160 --> 01:15:00,679
Speaker 1: is a new proposition which would break bas bring back

1213
01:15:00,720 --> 01:15:04,599
Speaker 1: contract work, because the California legislature passed that law last

1214
01:15:04,680 --> 01:15:07,599
Speaker 1: year that would require gig worker companies to treat workers

1215
01:15:07,600 --> 01:15:12,240
Speaker 1: as employees rather than independent contractors, which would mean lift

1216
01:15:12,360 --> 01:15:14,280
Speaker 1: Uber would have to pay their drivers as such and

1217
01:15:14,360 --> 01:15:16,120
Speaker 1: would be a huge mess. So they stuck their nose

1218
01:15:16,160 --> 01:15:19,000
Speaker 1: in so this would reverse that. So we'll keep an

1219
01:15:19,040 --> 01:15:20,840
Speaker 1: eye on that one as well. More after this on

1220
01:15:20,920 --> 01:15:35,080
Speaker 1: the Jesse Kelly Show. Flexibility. I love working with companies

1221
01:15:35,120 --> 01:15:37,880
Speaker 1: that give me flexibility because you know what it shows me.

1222
01:15:38,640 --> 01:15:42,240
Speaker 1: It shows me they're organized. It shows me they're established.

1223
01:15:42,360 --> 01:15:46,360
Speaker 1: If I'm looking for an auto protection plan company and

1224
01:15:46,520 --> 01:15:50,080
Speaker 1: that auto protection plan company tells me, well, Jesse, but

1225
01:15:50,240 --> 01:15:53,679
Speaker 1: we have two options available for plans. Only two. That's

1226
01:15:53,680 --> 01:15:55,719
Speaker 1: all you can have. Oh oh, and by the way,

1227
01:15:55,800 --> 01:15:58,559
Speaker 1: if something happens to your pickup truck, you have to

1228
01:15:58,600 --> 01:16:01,240
Speaker 1: go to one of these two. D Oh, sorry, they're

1229
01:16:01,240 --> 01:16:03,080
Speaker 1: not close enough to you. That's your problem. You know

1230
01:16:03,120 --> 01:16:05,559
Speaker 1: what that tells me? That tells me you're a fly

1231
01:16:05,720 --> 01:16:08,960
Speaker 1: by night company. Tells me you don't prioritize me, You

1232
01:16:09,040 --> 01:16:13,400
Speaker 1: prioritize you car shield that for They offer a wide

1233
01:16:13,479 --> 01:16:17,519
Speaker 1: range of protection plans. Car shield payments are flexible. You

1234
01:16:17,560 --> 01:16:20,280
Speaker 1: pick your favorite mechanic and that's where you take your car.

1235
01:16:21,040 --> 01:16:23,840
Speaker 1: Tells me all I need to know. Go to carshield

1236
01:16:24,040 --> 01:16:27,800
Speaker 1: dot com. That's car shield dot com. Do not forget

1237
01:16:27,840 --> 01:16:48,360
Speaker 1: to use the code Jesse. A deductible may apply. All right,

1238
01:16:48,439 --> 01:16:50,640
Speaker 1: let's keep going here into Jesse Kelly show b K

1239
01:16:50,880 --> 01:16:52,800
Speaker 1: here sitting in for you guys. I did have a

1240
01:16:52,920 --> 01:16:55,040
Speaker 1: one little treat I thought I had for you. I

1241
01:16:55,080 --> 01:16:58,280
Speaker 1: found a video on Twitter and it was kind of

1242
01:16:58,280 --> 01:17:01,479
Speaker 1: like a mash up of basically how the media has

1243
01:17:01,560 --> 01:17:05,280
Speaker 1: been treating the Trump administration for like the last four years.

1244
01:17:05,479 --> 01:17:07,439
Speaker 1: And it's a couple of minutes long, but it's it's

1245
01:17:07,479 --> 01:17:09,800
Speaker 1: it's pretty good. I flipped through a little bit of it,

1246
01:17:10,320 --> 01:17:12,360
Speaker 1: and it really gives you a sense of just from

1247
01:17:12,520 --> 01:17:16,519
Speaker 1: day one, like it was clear to the media ninety

1248
01:17:16,560 --> 01:17:20,040
Speaker 1: nine percent of them are who are far left outside

1249
01:17:20,040 --> 01:17:23,120
Speaker 1: the mainstream, hated the guy and they were never going

1250
01:17:23,200 --> 01:17:25,479
Speaker 1: to give him a fair shake. So let us listen

1251
01:17:25,560 --> 01:17:29,639
Speaker 1: to the media coverage of the Trump administration boiled down

1252
01:17:29,680 --> 01:17:32,040
Speaker 1: to just a couple of minutes. Here we go from

1253
01:17:32,120 --> 01:17:38,599
Speaker 1: this day forward. It's going to be only America first,

1254
01:17:39,360 --> 01:17:44,479
Speaker 1: America First. When he said today, America first, it was

1255
01:17:44,520 --> 01:17:47,080
Speaker 1: not just the racial I mean the I shouldn't say racial,

1256
01:17:47,120 --> 01:17:50,599
Speaker 1: the Hitlerian background. Tours day, it was an America First committee,

1257
01:17:50,600 --> 01:17:52,880
Speaker 1: that they were infiltrated by the Nazis, that many of

1258
01:17:52,880 --> 01:17:55,879
Speaker 1: them were anti Semitic, part of why they weren't alarmed

1259
01:17:55,880 --> 01:17:58,479
Speaker 1: by Hitler's rise in Germany. Outside of the Civil War,

1260
01:17:58,640 --> 01:18:01,800
Speaker 1: World War two, and including nine to eleven, this may

1261
01:18:01,840 --> 01:18:03,960
Speaker 1: be the most cataclysmic event the country has ever seen.

1262
01:18:04,160 --> 01:18:07,960
Speaker 1: He's disgusting to look at. He's obese, He's one of

1263
01:18:08,000 --> 01:18:11,440
Speaker 1: the impulsive, physically looking human beings I've ever seen, absolutely

1264
01:18:11,520 --> 01:18:14,759
Speaker 1: no morals. Who's a bully, who acts like a bigot

1265
01:18:14,800 --> 01:18:18,560
Speaker 1: and a racist, and is a sexist and a sexual harasser.

1266
01:18:18,640 --> 01:18:21,360
Speaker 1: The case for impeachment has never been stronger, the evidence

1267
01:18:21,439 --> 01:18:24,559
Speaker 1: never so riveting. Are you suggesting that President Trump should

1268
01:18:24,600 --> 01:18:28,519
Speaker 1: face impeachment? Another member of Congress wants him impeach is growing,

1269
01:18:28,520 --> 01:18:31,400
Speaker 1: talk at least about impeachment. What is your case for impeachment?

1270
01:18:31,520 --> 01:18:33,960
Speaker 1: The first day at public testimony in the impeachment inquiry

1271
01:18:33,960 --> 01:18:38,920
Speaker 1: opening with a bombshell, and we got the bombshell, a bombshell, bombshell, bombshell,

1272
01:18:39,240 --> 01:18:44,840
Speaker 1: one bombshell after another, bombshell after bombshell for a potentially

1273
01:18:44,960 --> 01:18:50,720
Speaker 1: an explosive opening statement, explosive week. It's explosive, testimony, explosive,

1274
01:18:50,880 --> 01:18:54,280
Speaker 1: truly explosive, the most explosive thing. This is a slow

1275
01:18:54,320 --> 01:18:59,160
Speaker 1: motion explosion. How explosive, very explosive, and I think be explosive. Wow.

1276
01:18:59,360 --> 01:19:01,800
Speaker 1: Donald Trump feels the walls closing in. Really kind of

1277
01:19:01,800 --> 01:19:04,720
Speaker 1: the walls closing in on him. Walls closing in on him,

1278
01:19:04,800 --> 01:19:07,439
Speaker 1: walls closing in on him. There is a non trivial

1279
01:19:07,520 --> 01:19:10,200
Speaker 1: chance that if Donald Trump loses the election, he ends

1280
01:19:10,240 --> 01:19:12,360
Speaker 1: up living out the rest of his days in prison.

1281
01:19:12,439 --> 01:19:15,040
Speaker 1: But here's the question, would you like to see President

1282
01:19:15,080 --> 01:19:17,120
Speaker 1: Trump in prison? Do you want to see the president

1283
01:19:17,160 --> 01:19:19,439
Speaker 1: in prison? Do you think Trump could end up going

1284
01:19:19,439 --> 01:19:22,320
Speaker 1: to jail? He could actually face jail time. Donald Trump

1285
01:19:22,320 --> 01:19:24,400
Speaker 1: could end up in jail, in prison. If he ends

1286
01:19:24,479 --> 01:19:27,599
Speaker 1: up in jail, so be it. You are pathetic from

1287
01:19:27,640 --> 01:19:30,080
Speaker 1: a journalism point of view, Donald Trump is a brain

1288
01:19:30,200 --> 01:19:34,720
Speaker 1: eating disease. How stupid can you be? This president has

1289
01:19:34,800 --> 01:19:38,960
Speaker 1: radicalized so many more people than ISAs ever did ignorance

1290
01:19:39,040 --> 01:19:42,640
Speaker 1: could pose a profound danger to every single person in

1291
01:19:42,640 --> 01:19:45,880
Speaker 1: this country and literally every inhabitant of the planet Earth. No,

1292
01:19:46,000 --> 01:19:54,560
Speaker 1: we won't call them fascist comments, fascist, ashism, fascist, xenophobic, racist, stemagogue, sexist, autocratic.

1293
01:19:54,640 --> 01:19:57,280
Speaker 1: Donald Trump's a fascist someone like a fascist or a

1294
01:19:57,360 --> 01:20:02,320
Speaker 1: tyrant or an autocrat fascist Hitler, Hitler, Hitler, Hitler, hit

1295
01:20:02,640 --> 01:20:07,200
Speaker 1: Hitlerbie could well be just an empty man, an empty

1296
01:20:07,360 --> 01:20:11,799
Speaker 1: human being with no soul. Donald Trump blows Vladimir Putin

1297
01:20:11,920 --> 01:20:14,439
Speaker 1: like they are illegal immigrants hiding in Putin's and he's

1298
01:20:14,439 --> 01:20:16,960
Speaker 1: got to suck them all out. In fact, the only

1299
01:20:17,000 --> 01:20:20,240
Speaker 1: thing your mouth is good for is being Vladimir Putin's polster.

1300
01:20:21,240 --> 01:20:28,639
Speaker 1: You Donald Trump or horrible, horrible human being? All right, Wow,

1301
01:20:28,880 --> 01:20:32,000
Speaker 1: they are so deeply, deeply disturbed. The media has been

1302
01:20:32,040 --> 01:20:35,040
Speaker 1: hopelessly broken. Now, how can they possibly go back to

1303
01:20:35,120 --> 01:20:40,320
Speaker 1: Joe Biden after that? They have? They have made unbelievable

1304
01:20:40,360 --> 01:20:45,160
Speaker 1: amounts of money through Donald Trump. And again he's it's

1305
01:20:45,160 --> 01:20:48,960
Speaker 1: not like he's going away. God news for him. Although

1306
01:20:49,560 --> 01:20:52,559
Speaker 1: do you think Twitter, how fast do you think Twitter

1307
01:20:52,640 --> 01:20:56,920
Speaker 1: suspends him after he loses if he loses the election, Like,

1308
01:20:57,000 --> 01:20:58,920
Speaker 1: because the first thing he said, they're gonna like they're

1309
01:20:58,920 --> 01:21:01,519
Speaker 1: gonna be once he's not president anymore, they're gonna be

1310
01:21:01,560 --> 01:21:04,880
Speaker 1: on him like really hard, and that's when it will

1311
01:21:04,920 --> 01:21:08,759
Speaker 1: get interesting as well. It's too funny. There's such funny.

1312
01:21:08,800 --> 01:21:12,080
Speaker 1: There's such fools these people. Honest, I had such a

1313
01:21:12,120 --> 01:21:16,679
Speaker 1: contempt for the media. I'll I'll never forget stupid Jake Tapper, who,

1314
01:21:16,720 --> 01:21:18,600
Speaker 1: for some reason a lot of you seem to like

1315
01:21:19,120 --> 01:21:23,360
Speaker 1: I will never forget him leading off his show with

1316
01:21:24,080 --> 01:21:28,880
Speaker 1: by saying, like, tonight, a third Kavanaugh accuser. Remember, and

1317
01:21:29,280 --> 01:21:32,600
Speaker 1: Jake Tapper really flogged the whole Brett Kavanaugh as a

1318
01:21:32,680 --> 01:21:36,439
Speaker 1: drunken serial teenage gang rapist thing really hard. I remember that,

1319
01:21:36,960 --> 01:21:38,880
Speaker 1: and he never even apologized. Like, that's the thing that

1320
01:21:38,920 --> 01:21:41,439
Speaker 1: gets me. They never even apologize. All the fake news

1321
01:21:41,520 --> 01:21:44,840
Speaker 1: they've spread, and I've documented it week after week, all

1322
01:21:44,880 --> 01:21:48,400
Speaker 1: the fake news they spread, there's never any consequences. Nobody

1323
01:21:48,400 --> 01:21:51,960
Speaker 1: ever gets fired, nobody ever apologizes, nobody ever goes on

1324
01:21:52,000 --> 01:22:00,160
Speaker 1: Aaron says I was wrong. I'm sorry. They don't. All

1325
01:22:00,160 --> 01:22:02,880
Speaker 1: of you have consequences in your life, But for the media, no,

1326
01:22:03,160 --> 01:22:07,120
Speaker 1: they're immune from it. And for what they're overpaid bloggers,

1327
01:22:07,160 --> 01:22:11,000
Speaker 1: you guys, they don't do anything. They read off a teleprompter.

1328
01:22:11,120 --> 01:22:14,400
Speaker 1: Their chumps. They've never contributed to anything to society. They're useless,

1329
01:22:16,200 --> 01:22:22,760
Speaker 1: so pathetic to me. Honestly, I don't know. But yeah,

1330
01:22:22,800 --> 01:22:25,800
Speaker 1: we'll see in California though we're we're hopeless out here,

1331
01:22:25,920 --> 01:22:29,240
Speaker 1: we're gonna be well, they'll we'll vote for stupid Joe Biden,

1332
01:22:30,000 --> 01:22:33,160
Speaker 1: and then what are they gonna do. They'll you know,

1333
01:22:33,200 --> 01:22:34,720
Speaker 1: if you know what they're gonna do, They're still gonna

1334
01:22:34,760 --> 01:22:37,000
Speaker 1: follow Trump around. That's what the media will do all

1335
01:22:37,040 --> 01:22:39,960
Speaker 1: the time. They can't let it go because what are

1336
01:22:39,960 --> 01:22:41,760
Speaker 1: you gonna be? You gonna follow asleepy Joe as he

1337
01:22:41,800 --> 01:22:43,920
Speaker 1: sits there and slides into me. He might wander out

1338
01:22:43,960 --> 01:22:48,640
Speaker 1: into a press briefing with no pants. He might, and

1339
01:22:48,760 --> 01:22:53,479
Speaker 1: they're not gonna stop it at all. Let's see, well

1340
01:22:53,520 --> 01:22:55,360
Speaker 1: I did. That went a little bit longer than I thought.

1341
01:22:55,400 --> 01:22:58,360
Speaker 1: I was hoping to get into our COVID round up

1342
01:22:58,479 --> 01:23:01,920
Speaker 1: this hour, but that will have to wait till next hour.

1343
01:23:02,040 --> 01:23:04,960
Speaker 1: But I have a COVID roundup, and I also have

1344
01:23:05,080 --> 01:23:08,360
Speaker 1: some war stories for you. Back with more after this

1345
01:23:08,439 --> 01:23:18,720
Speaker 1: on a Jesse Kelly show. One in three adults has

1346
01:23:18,760 --> 01:23:21,680
Speaker 1: pre diabetes. One in three. That means it could be

1347
01:23:21,720 --> 01:23:26,960
Speaker 1: you your football buddies, your fruitball buddy, or you your

1348
01:23:27,000 --> 01:23:31,519
Speaker 1: best man, You're worst man. You you're a dog walker,

1349
01:23:32,040 --> 01:23:35,400
Speaker 1: You're a cat jugger. While one in three adults has

1350
01:23:35,439 --> 01:23:39,120
Speaker 1: pre diabetes, with early diagnosis, pre diabetes can be reversed.

1351
01:23:39,200 --> 01:23:41,920
Speaker 1: Take the risk test at do I have pre diabetes

1352
01:23:41,960 --> 01:23:46,559
Speaker 1: dot org? That's do I have pre diabetes dot org? Wait,

1353
01:23:46,640 --> 01:23:49,480
Speaker 1: did they just say one in three adults has pre diabetes.

1354
01:23:49,680 --> 01:23:52,320
Speaker 1: That's thirty three point three three three percent of adults.

1355
01:23:52,439 --> 01:23:54,519
Speaker 1: That means it could be me my boss or my

1356
01:23:54,640 --> 01:23:58,320
Speaker 1: boss's boss, or me my favorite sister or my other sister.

1357
01:23:58,640 --> 01:24:02,599
Speaker 1: That's seven members of my twenty one person romantic book club. Wait,

1358
01:24:02,600 --> 01:24:05,679
Speaker 1: the one in three could be me my karaoke partner Carol,

1359
01:24:05,920 --> 01:24:09,479
Speaker 1: or my karaoke enemy, Jeff. I'm going to take the

1360
01:24:09,560 --> 01:24:12,160
Speaker 1: risk test that do I have pre diabetes dot org?

1361
01:24:12,720 --> 01:24:14,479
Speaker 1: Brought to you by the AD Council, and it's pre

1362
01:24:14,560 --> 01:24:19,760
Speaker 1: Diabetes Awareness Partners. All right, let's finish up this hour

1363
01:24:19,800 --> 01:24:22,240
Speaker 1: of the Jesse Kelly shown a high note. A thirty

1364
01:24:22,320 --> 01:24:25,280
Speaker 1: two year old New Jersey man has been sentenced to

1365
01:24:25,479 --> 01:24:31,080
Speaker 1: three years in state prison for threatening farmers when they

1366
01:24:31,120 --> 01:24:36,439
Speaker 1: rejected his handwritten letters requesting to have sex with their

1367
01:24:36,520 --> 01:24:42,519
Speaker 1: cows and horses. That's right. Richard Decker of Vernon Township,

1368
01:24:42,560 --> 01:24:47,960
Speaker 1: New Jersey would send emails and yes, old timey letters

1369
01:24:48,000 --> 01:24:51,599
Speaker 1: at farms and stables across Sussex County with his request

1370
01:24:51,680 --> 01:24:57,639
Speaker 1: to have relations with the farmers animals, and in one

1371
01:24:57,680 --> 01:24:59,600
Speaker 1: instance he actually threatened to go to a farm and

1372
01:24:59,680 --> 01:25:02,439
Speaker 1: beat a woman with a stick when he was denied

1373
01:25:02,560 --> 01:25:06,679
Speaker 1: alone time with the animals. So the reason they caught

1374
01:25:06,720 --> 01:25:11,280
Speaker 1: onto this guy was Vernon police began investigating why somebody

1375
01:25:11,400 --> 01:25:16,840
Speaker 1: was placing spikes around farmers driveways. One thing led to another.

1376
01:25:17,000 --> 01:25:18,800
Speaker 1: They found out it was this guy and he was

1377
01:25:18,960 --> 01:25:23,240
Speaker 1: leaving the spikes and the driveways because he was being rejected,

1378
01:25:23,600 --> 01:25:25,519
Speaker 1: so that the cops there put two a new together.

1379
01:25:25,560 --> 01:25:28,639
Speaker 1: They're probably like, hey, you got anything unusual happened lately,

1380
01:25:28,640 --> 01:25:31,000
Speaker 1: And the farmers are probably like, oh, yeah, there was

1381
01:25:31,040 --> 01:25:33,200
Speaker 1: this letter I got from this guy who wanted to

1382
01:25:33,280 --> 01:25:35,920
Speaker 1: have sex with one of my cows. That's probably going

1383
01:25:36,000 --> 01:25:38,040
Speaker 1: to perk up the cops. Ears right there, I don't know,

1384
01:25:38,439 --> 01:25:42,519
Speaker 1: I'm not a law enforcement officer. And then yes, just

1385
01:25:42,840 --> 01:25:47,080
Speaker 1: for Cherry on top, the thirty two year old Richard

1386
01:25:47,120 --> 01:25:51,880
Speaker 1: Decker also possessed child pornography. So there you go. He's

1387
01:25:51,880 --> 01:25:54,240
Speaker 1: going away. He should never get out of prison. I mean,

1388
01:25:54,280 --> 01:26:00,439
Speaker 1: my god, three years that's not nearly enough. Especially like Okay,

1389
01:26:00,680 --> 01:26:03,280
Speaker 1: I've said it before, I have a very strict animal hierarchy.

1390
01:26:04,000 --> 01:26:06,320
Speaker 1: The horses there are no. You can't have the horses

1391
01:26:06,320 --> 01:26:09,240
Speaker 1: at all. The cows, no, probably not the chickens. I'll

1392
01:26:09,240 --> 01:26:11,320
Speaker 1: give you a chicken. That's it, Decker. That's all you got,

1393
01:26:11,360 --> 01:26:14,519
Speaker 1: all right, guys, more after this on a Jesse Kelly Show.

1394
01:26:17,760 --> 01:26:33,120
Speaker 1: Jesse Kelly returns next. This is a Jesse Kelly Show.

1395
01:26:39,680 --> 01:26:41,840
Speaker 1: All right, welcome back to Jesse Kelly Show. B K

1396
01:26:42,080 --> 01:26:44,240
Speaker 1: here sitting in for the big Man. Go ahead and

1397
01:26:44,320 --> 01:26:47,920
Speaker 1: look for my podcast, World News with BK on Spotify, iTunes,

1398
01:26:48,000 --> 01:26:51,679
Speaker 1: google Play and iHeartRadio. That goes up every week, you guys.

1399
01:26:51,720 --> 01:26:55,840
Speaker 1: And again it's a big emphasis on international news, conflict, politics,

1400
01:26:55,880 --> 01:26:58,360
Speaker 1: all the stories you don't really hear about in our

1401
01:26:58,880 --> 01:27:02,800
Speaker 1: Trump obsessed to be So, as for this hour, I

1402
01:27:02,840 --> 01:27:04,439
Speaker 1: thought it'd mix it up a little bit since I

1403
01:27:04,479 --> 01:27:07,120
Speaker 1: have this platform here. As a lot of you know,

1404
01:27:07,240 --> 01:27:09,720
Speaker 1: I was an Air Force Power Rescuement or PJ as

1405
01:27:09,720 --> 01:27:11,840
Speaker 1: they're commonly called I was really proud of that and

1406
01:27:12,200 --> 01:27:16,000
Speaker 1: really proud to serve in that elite community. And I

1407
01:27:16,040 --> 01:27:19,679
Speaker 1: did have a few stories about Pair Rescuement in the news,

1408
01:27:19,720 --> 01:27:21,920
Speaker 1: and it's not like a unit that you hear too

1409
01:27:21,960 --> 01:27:24,639
Speaker 1: much about in the mainstream media. So what the hell,

1410
01:27:24,720 --> 01:27:28,120
Speaker 1: let's get into it. First. Let's start off with two

1411
01:27:28,160 --> 01:27:31,760
Speaker 1: Pair rescuemen from Tucson, and they were both presented with

1412
01:27:31,840 --> 01:27:34,280
Speaker 1: Bronze Stars with Valor earlier this month. And this is

1413
01:27:34,360 --> 01:27:37,960
Speaker 1: during separate incidents. And I'm talking about Master Sergeant Adam

1414
01:27:38,040 --> 01:27:43,040
Speaker 1: Fagan and Staff Sergeant Benjamin britt Nicky. Now, these guys

1415
01:27:43,080 --> 01:27:45,880
Speaker 1: were kind of like tasked out. And it's not uncommon

1416
01:27:46,040 --> 01:27:48,800
Speaker 1: for pj's to be farmed out to different units. It

1417
01:27:48,800 --> 01:27:51,680
Speaker 1: happens all the time. So PJ might be attached to

1418
01:27:51,680 --> 01:27:56,080
Speaker 1: a Seal Team, Ranger Battalion, or, as is very common

1419
01:27:56,160 --> 01:27:59,760
Speaker 1: these days, a Special Forces team commonly called an O

1420
01:28:00,080 --> 01:28:02,880
Speaker 1: Rational Detachment Alpha Special Forces. If he didn't know those

1421
01:28:02,880 --> 01:28:07,320
Speaker 1: of the US Army's Green berets, right, So let's start

1422
01:28:07,320 --> 01:28:12,839
Speaker 1: with Master Sergeant Fagan, and he was in the Hellman

1423
01:28:12,960 --> 01:28:16,240
Speaker 1: Province working with an ODA and he was going on

1424
01:28:16,280 --> 01:28:22,360
Speaker 1: a raid deep in Taliban territory in Sangin. So Fagan

1425
01:28:22,720 --> 01:28:25,160
Speaker 1: was moving towards this Taliban compound to take out and

1426
01:28:25,200 --> 01:28:29,040
Speaker 1: improvise explosive device manufacture when an ambush hit them right

1427
01:28:29,520 --> 01:28:34,839
Speaker 1: so an ied went off, severely wounded an Afghan commando,

1428
01:28:35,000 --> 01:28:37,680
Speaker 1: and at the same time, Taliban fighters opened up with

1429
01:28:37,800 --> 01:28:41,360
Speaker 1: heavy and effective small arms fire from a fortified position.

1430
01:28:42,600 --> 01:28:46,240
Speaker 1: So Fagan took control of the situation. He attacked the

1431
01:28:46,280 --> 01:28:51,479
Speaker 1: Taliban's fortified position and he got to his wounded Afghan

1432
01:28:51,560 --> 01:28:57,360
Speaker 1: comrade and he began administering advanced medical care. Further. Fagan

1433
01:28:57,680 --> 01:29:00,720
Speaker 1: then began moving the wounded Afghan to the helicopter LZ

1434
01:29:00,880 --> 01:29:04,800
Speaker 1: the landing zone and once again exposed himself to small

1435
01:29:04,920 --> 01:29:09,200
Speaker 1: arms and RPG fire. As the shooting intensified, Fagin was

1436
01:29:09,240 --> 01:29:12,560
Speaker 1: able to direct suppressing fire to allow the Metavac helicopters

1437
01:29:12,600 --> 01:29:18,000
Speaker 1: to land and extract the team, and he was able

1438
01:29:18,960 --> 01:29:21,080
Speaker 1: to get his team member out of there. There was

1439
01:29:21,080 --> 01:29:26,320
Speaker 1: outstanding then Burt Nicky, This one was insane. He was

1440
01:29:27,280 --> 01:29:33,519
Speaker 1: also on another ODA team and conducting operations and he

1441
01:29:33,640 --> 01:29:37,519
Speaker 1: was at a night raid in Helmet. His assault team

1442
01:29:37,560 --> 01:29:40,280
Speaker 1: dismounted their vehicles and moved towards a village that was

1443
01:29:40,320 --> 01:29:45,960
Speaker 1: a Taliban stronghold, right, And they breached the first compound

1444
01:29:46,040 --> 01:29:48,799
Speaker 1: and realized that Taliban were getting out their weapons ready

1445
01:29:48,840 --> 01:29:52,880
Speaker 1: to fight. So they started getting into and a very

1446
01:29:52,920 --> 01:29:56,320
Speaker 1: intense firefight. And it was extremely intense. It was close

1447
01:29:56,439 --> 01:29:59,000
Speaker 1: quarters battle. As a matter of fact, they say Nicky

1448
01:29:59,520 --> 01:30:03,040
Speaker 1: fought the Taliban at distances of less than five feet

1449
01:30:03,080 --> 01:30:05,960
Speaker 1: with his personal weapons and hand grenades. You believe that

1450
01:30:06,960 --> 01:30:10,400
Speaker 1: bro is like chucking hand grenades into a room like

1451
01:30:10,520 --> 01:30:13,480
Speaker 1: five like dudes like five feet away. At one point,

1452
01:30:13,520 --> 01:30:16,840
Speaker 1: the Taliban shot an RPG Adam, but luckily for him,

1453
01:30:16,840 --> 01:30:22,040
Speaker 1: it did not detonate. Now, civilian was wounded in the firefight,

1454
01:30:22,120 --> 01:30:24,960
Speaker 1: and Burt Nicky crossed an open courtyard to get to

1455
01:30:25,040 --> 01:30:31,000
Speaker 1: the civilian to start administering medical care. Further, Bert Nicky

1456
01:30:31,960 --> 01:30:35,360
Speaker 1: set up a casualty collection point and provided advanced medical care,

1457
01:30:35,520 --> 01:30:37,840
Speaker 1: organized the movement of blood, and set up the medical

1458
01:30:37,920 --> 01:30:41,799
Speaker 1: evac plan. The Air Force said Bert Nicky's actions resulted

1459
01:30:41,840 --> 01:30:45,799
Speaker 1: in the deaths of seven enemy fighters, including a Taliban commander.

1460
01:30:45,880 --> 01:30:51,800
Speaker 1: So my man just womped the Taliban into oblivion. That

1461
01:30:52,000 --> 01:30:55,160
Speaker 1: is outstanding. Well, I love to hear it. Now, let's

1462
01:30:55,200 --> 01:30:57,439
Speaker 1: go to another award that happened, and this one just

1463
01:30:57,520 --> 01:30:59,360
Speaker 1: came out, and if you go to my Instagram at

1464
01:30:59,400 --> 01:31:03,960
Speaker 1: bkak you can find a link to this. And this

1465
01:31:04,120 --> 01:31:10,520
Speaker 1: was a silver Star awarded to Staff Sergeant Nicholas Brunetto.

1466
01:31:12,280 --> 01:31:16,400
Speaker 1: And this was during one of the Green on Blue attacks.

1467
01:31:17,080 --> 01:31:24,080
Speaker 1: That's right. Brunetto was with his American and Afghan colleagues

1468
01:31:24,080 --> 01:31:26,640
Speaker 1: and they were picking up their gear and all of

1469
01:31:26,720 --> 01:31:29,479
Speaker 1: a sudden they came under machine gun fire from an

1470
01:31:29,479 --> 01:31:33,320
Speaker 1: Afghan Army soldier and you can imagine the chaos. There

1471
01:31:33,360 --> 01:31:36,840
Speaker 1: was so much dust, as Brunetto pointed out, that you

1472
01:31:36,880 --> 01:31:39,400
Speaker 1: couldn't really tell who was actually shooting. You could kind

1473
01:31:39,400 --> 01:31:41,519
Speaker 1: of see muscle blasts coming from around, but you couldn't

1474
01:31:41,520 --> 01:31:44,880
Speaker 1: tell who we're shooting. Now, eight US troops were injured

1475
01:31:44,920 --> 01:31:49,880
Speaker 1: critically in the attack, along with three Afghan soldiers. So

1476
01:31:50,720 --> 01:31:55,519
Speaker 1: Brunetto ended up basically evacking out a lot of these dudes,

1477
01:31:55,760 --> 01:32:00,439
Speaker 1: plus doing like blood transfusions and all the rest, and

1478
01:32:00,479 --> 01:32:05,839
Speaker 1: they did award my man with a Silver Star. Now, sadly,

1479
01:32:06,840 --> 01:32:11,120
Speaker 1: two American soldiers were killed in this incident, and that

1480
01:32:11,280 --> 01:32:17,280
Speaker 1: was Staff Sergeant Antonio Ray Rodriguez and staff Sergeant Javier

1481
01:32:17,520 --> 01:32:22,240
Speaker 1: Gaudierras and they were both with seventh Special Forces Groups. Again,

1482
01:32:22,439 --> 01:32:28,600
Speaker 1: that was the Army Green Beret ODA and yeah, just outstanding.

1483
01:32:28,640 --> 01:32:30,200
Speaker 1: And if you don't know, this is what I'm saying

1484
01:32:30,200 --> 01:32:32,000
Speaker 1: you guys, the pjs are definitely at the tip of

1485
01:32:32,040 --> 01:32:34,880
Speaker 1: the spear now more than ever and they're highly in

1486
01:32:34,920 --> 01:32:38,200
Speaker 1: demand all worldwide. The selection process has changed quite a

1487
01:32:38,240 --> 01:32:40,479
Speaker 1: bit from the old days. I've talked about this a

1488
01:32:40,479 --> 01:32:43,360
Speaker 1: little bit in the past. In the old days it

1489
01:32:43,479 --> 01:32:45,759
Speaker 1: was kind of like just a sink or swim things.

1490
01:32:46,000 --> 01:32:47,840
Speaker 1: I'll just finish out this segment with talking a little

1491
01:32:47,880 --> 01:32:50,560
Speaker 1: bit about the training. Like in the old days, the

1492
01:32:51,120 --> 01:32:53,040
Speaker 1: idea was you get you just get like one hundred

1493
01:32:53,040 --> 01:32:55,360
Speaker 1: and fifty guys or whatever many guys as you can,

1494
01:32:55,479 --> 01:32:57,240
Speaker 1: and you just throw them in the meat grinder and

1495
01:32:57,360 --> 01:33:01,160
Speaker 1: whoever survives at the end that is the people who

1496
01:33:01,200 --> 01:33:02,840
Speaker 1: get to go through the rest of the pipeline and

1497
01:33:02,880 --> 01:33:05,519
Speaker 1: get the training. But it was kind of stupid if

1498
01:33:05,560 --> 01:33:07,439
Speaker 1: you thought about it. They didn't give them any pre training,

1499
01:33:07,479 --> 01:33:10,320
Speaker 1: no nutrition, nothing. It was just basically sink or swim,

1500
01:33:10,360 --> 01:33:13,599
Speaker 1: and yeah, in a way, it was. It was definitely hard,

1501
01:33:13,800 --> 01:33:16,760
Speaker 1: but it's stupid though. If you think about it, so

1502
01:33:16,840 --> 01:33:19,720
Speaker 1: now it's completely different. I mean, guys going through these selections,

1503
01:33:19,720 --> 01:33:23,439
Speaker 1: whether it's whether it's Air Force Special Warfare, whether it's

1504
01:33:23,520 --> 01:33:26,439
Speaker 1: Navy seal Buds, whether it's range or battalion, they have

1505
01:33:26,840 --> 01:33:31,519
Speaker 1: extensive pre training, they have top flight nutrition. I'm hearing

1506
01:33:31,720 --> 01:33:35,800
Speaker 1: they're like cryotherapy at these schools. It kind of makes sense.

1507
01:33:35,840 --> 01:33:37,879
Speaker 1: I mean, you have these group of guys there anyway,

1508
01:33:38,280 --> 01:33:41,360
Speaker 1: why not give them the best chance to succeed. Now,

1509
01:33:41,400 --> 01:33:43,400
Speaker 1: do you lose a little bit of that mystique, Yeah,

1510
01:33:43,439 --> 01:33:45,479
Speaker 1: a little bit. But at the end of the day,

1511
01:33:46,120 --> 01:33:49,360
Speaker 1: I hear the washout rate has stayed the similar and

1512
01:33:49,400 --> 01:33:52,439
Speaker 1: it's always been a traditional around eighty percent failure rate

1513
01:33:52,479 --> 01:33:56,040
Speaker 1: for the selection process and that hasn't changed much from

1514
01:33:56,040 --> 01:33:59,120
Speaker 1: what I've been hearing. And it's changed, but it's changed

1515
01:33:59,160 --> 01:34:00,800
Speaker 1: a lot. Some of it's for the better sum of us,

1516
01:34:00,800 --> 01:34:02,320
Speaker 1: for worse. Like I said, you lose a little bit.

1517
01:34:02,360 --> 01:34:04,320
Speaker 1: At the end of the day, you're getting a more skilled,

1518
01:34:04,439 --> 01:34:07,360
Speaker 1: more developed operator and you have to look at it

1519
01:34:07,400 --> 01:34:09,920
Speaker 1: from the long term perspective. You want these guys to last.

1520
01:34:10,000 --> 01:34:12,920
Speaker 1: You know, this is like hard, tough, brutal work, and

1521
01:34:13,080 --> 01:34:15,439
Speaker 1: you need guys who are going to be in top shape.

1522
01:34:16,160 --> 01:34:18,200
Speaker 1: The days of just you know, sucking it up and

1523
01:34:18,520 --> 01:34:21,320
Speaker 1: crappy food and all that that's long gone. Think of

1524
01:34:21,400 --> 01:34:24,360
Speaker 1: yourself for all you young kids out there, you're like

1525
01:34:24,479 --> 01:34:28,400
Speaker 1: basically professional athlete. And indeed the military is going after

1526
01:34:28,439 --> 01:34:32,120
Speaker 1: these guys hard, and they're looking at like really young people.

1527
01:34:32,320 --> 01:34:35,559
Speaker 1: The military is now sending out like scouts to like

1528
01:34:35,680 --> 01:34:37,559
Speaker 1: sporting events and stuff like that, and they're trying to

1529
01:34:37,560 --> 01:34:41,439
Speaker 1: identify these guys who would be solid special operators, guys

1530
01:34:41,439 --> 01:34:44,040
Speaker 1: with an athletic guys who are like mature guys who

1531
01:34:44,120 --> 01:34:47,760
Speaker 1: have that like adrenaline rush, and that's who they're looking for.

1532
01:34:48,680 --> 01:34:50,200
Speaker 1: But it's not enough. You have to have a head

1533
01:34:50,240 --> 01:34:53,160
Speaker 1: on your shoulders too. And I can say unequivocally I've

1534
01:34:53,200 --> 01:34:57,320
Speaker 1: been around like every branch of the servicer war and

1535
01:34:57,439 --> 01:35:00,519
Speaker 1: just being around the Air Force Special Tactics community, in

1536
01:35:00,520 --> 01:35:04,200
Speaker 1: that special warfare community, just the mindset was just a

1537
01:35:04,200 --> 01:35:07,080
Speaker 1: group of people that I've never been around since it's

1538
01:35:07,120 --> 01:35:10,240
Speaker 1: just a very elite group and it was like really

1539
01:35:10,240 --> 01:35:12,040
Speaker 1: an honor of a lifetime just to go through it.

1540
01:35:12,080 --> 01:35:14,000
Speaker 1: And as far as me, like I was nothing, I

1541
01:35:14,080 --> 01:35:17,240
Speaker 1: barely made it through, Like I was no athlete at all,

1542
01:35:18,200 --> 01:35:19,960
Speaker 1: and I had no idea what I was getting into.

1543
01:35:20,960 --> 01:35:22,960
Speaker 1: The only thing I had going for me was an

1544
01:35:23,080 --> 01:35:27,400
Speaker 1: unbelievable stubbornness. Literally I had no athletic ability. But what

1545
01:35:27,479 --> 01:35:31,120
Speaker 1: I did have is just, I guess, the ability to

1546
01:35:31,240 --> 01:35:34,040
Speaker 1: just not give up and just be pissed off, like

1547
01:35:34,160 --> 01:35:37,560
Speaker 1: so angry that there was no way I was gonna

1548
01:35:37,720 --> 01:35:39,360
Speaker 1: be a failure, and that was the only thing that

1549
01:35:39,400 --> 01:35:41,080
Speaker 1: got me through. But I was. I went through some

1550
01:35:41,200 --> 01:35:43,880
Speaker 1: unbelievable athletes into this day. It was really an honor

1551
01:35:43,880 --> 01:35:47,160
Speaker 1: and a privilege. And you just read these stories about

1552
01:35:47,200 --> 01:35:50,000
Speaker 1: these guys and the heroism, and they'll all say the

1553
01:35:50,040 --> 01:35:52,160
Speaker 1: same thing. They don't even think about it. It's just

1554
01:35:52,280 --> 01:35:54,160
Speaker 1: that it's just in their nature, you know. They want

1555
01:35:54,160 --> 01:35:55,720
Speaker 1: to go to it. They want to run towards the

1556
01:35:55,760 --> 01:35:58,080
Speaker 1: sound of the gunfire. And it's something in the American

1557
01:35:58,120 --> 01:36:01,840
Speaker 1: fighting man that will not be complicated by anybody else.

1558
01:36:01,840 --> 01:36:04,080
Speaker 1: And you can't find it anywhere in the world except

1559
01:36:04,160 --> 01:36:06,680
Speaker 1: for in the United States of America. It's really remarkable.

1560
01:36:06,960 --> 01:36:21,760
Speaker 1: More after this on the Jesse Kelly Show, one in

1561
01:36:21,840 --> 01:36:25,200
Speaker 1: three adults has pre diabetes. One in three. That means

1562
01:36:25,240 --> 01:36:29,720
Speaker 1: it could be you, your football buddy, your fruitball buddy,

1563
01:36:30,160 --> 01:36:34,760
Speaker 1: or you your best man, your worst man. You you're

1564
01:36:34,760 --> 01:36:38,519
Speaker 1: a dog walker, You're a cat jugger. While one in

1565
01:36:38,560 --> 01:36:42,320
Speaker 1: three adults has pre diabetes, with early diagnosis, pre diabetes

1566
01:36:42,360 --> 01:36:44,680
Speaker 1: can be reversed. Take the risk test at do I

1567
01:36:44,800 --> 01:36:47,720
Speaker 1: have pre diabetes dot org? That's do I have pre

1568
01:36:47,840 --> 01:36:51,680
Speaker 1: diabetes dot org? Wait did they just say one in

1569
01:36:51,760 --> 01:36:55,520
Speaker 1: three adults has pre diabetes. That's thirty three point three

1570
01:36:54,880 --> 01:36:57,320
Speaker 1: three percent of adults. That means it could be me

1571
01:36:57,560 --> 01:37:00,879
Speaker 1: my boss or my boss's boss, or me my favorite

1572
01:37:00,920 --> 01:37:03,800
Speaker 1: sister or my other sister. That's seven members of my

1573
01:37:03,800 --> 01:37:07,040
Speaker 1: twenty one person romantic book club. Wait, the one in

1574
01:37:07,080 --> 01:37:10,800
Speaker 1: three could be me my karaoke partner Carol, or my

1575
01:37:11,000 --> 01:37:14,200
Speaker 1: karaoke enemy, Jeff. I'm gonna take the risk test that

1576
01:37:14,280 --> 01:37:17,160
Speaker 1: do I have pre diabetes dot org? Brought to you

1577
01:37:17,200 --> 01:37:20,200
Speaker 1: by the AD Council and it's pre diabetes Awareness Partners.

1578
01:37:37,680 --> 01:37:39,920
Speaker 1: All right, let's keep going here. Jesse Kelly show b

1579
01:37:40,120 --> 01:37:44,080
Speaker 1: K sitting in. Guys quickly. I have the coronavirus update

1580
01:37:44,200 --> 01:37:46,200
Speaker 1: for you, and we're gonna get into that for a moment.

1581
01:37:46,240 --> 01:37:48,840
Speaker 1: But during the break, I was just cruising through Twitter

1582
01:37:48,880 --> 01:37:53,000
Speaker 1: and I saw I saw this clip of Trump at

1583
01:37:53,040 --> 01:37:57,080
Speaker 1: the rally, his last rally. This is the last rally

1584
01:37:57,280 --> 01:38:00,920
Speaker 1: of campaign twenty twenty. And here he is on stage

1585
01:38:00,960 --> 01:38:03,479
Speaker 1: at Michigan. And I don't know if you saw this,

1586
01:38:03,560 --> 01:38:05,800
Speaker 1: but in the last week he's been getting a few

1587
01:38:05,880 --> 01:38:07,840
Speaker 1: rappers who've come over to his corner, right, And one

1588
01:38:07,880 --> 01:38:10,680
Speaker 1: of the rappers is Little Pump. And you're probably like,

1589
01:38:10,760 --> 01:38:14,920
Speaker 1: who in God's name's Little Pump? Well, he's popular with

1590
01:38:15,040 --> 01:38:18,240
Speaker 1: the kids, and he was in attendance at the rally.

1591
01:38:18,320 --> 01:38:21,040
Speaker 1: So Trump decides to bring him up on stage, except

1592
01:38:21,160 --> 01:38:23,320
Speaker 1: apparently he called him a little pimp, which is which

1593
01:38:23,360 --> 01:38:26,000
Speaker 1: is still pretty good. But let's hear Trump at the

1594
01:38:26,040 --> 01:38:29,760
Speaker 1: Michigan rally and little Pump speaking of sound music and

1595
01:38:29,880 --> 01:38:33,400
Speaker 1: other things. One of the big superstars of the world.

1596
01:38:33,920 --> 01:38:44,200
Speaker 1: Little pimp there he is. How's it going? Do you

1597
01:38:44,200 --> 01:38:47,120
Speaker 1: want to come up and say something? Bring up? Get

1598
01:38:47,200 --> 01:38:51,360
Speaker 1: him up there, Come on up here, Come on up here.

1599
01:38:51,680 --> 01:38:54,880
Speaker 1: Does everyone know who he is? I'll get how big

1600
01:38:54,920 --> 01:39:01,760
Speaker 1: he is? Come on up here. It's a nice hat.

1601
01:39:01,920 --> 01:39:09,840
Speaker 1: Come about to say something. Hello everybody, how you how

1602
01:39:09,840 --> 01:39:16,280
Speaker 1: you guys feeling? Yeah, I'll come here to say, mister President,

1603
01:39:16,320 --> 01:39:19,120
Speaker 1: I appreciate anything done for a country. You brought the

1604
01:39:19,160 --> 01:39:24,960
Speaker 1: troops and you're doing the right thing. Mega twenty twenty twenty.

1605
01:39:25,080 --> 01:39:32,200
Speaker 1: Don't forget that. Don't forget that, and do not vote

1606
01:39:32,240 --> 01:39:39,040
Speaker 1: for sleepy joke. Hello, there he goes. All right, there

1607
01:39:39,080 --> 01:39:42,120
Speaker 1: he goes. I gotta kick out of that one. That's funny.

1608
01:39:42,240 --> 01:39:44,680
Speaker 1: I'm telling you, like I said in the first hour,

1609
01:39:44,760 --> 01:39:48,040
Speaker 1: you guys, I can't I just can't believe the polling.

1610
01:39:48,200 --> 01:39:51,559
Speaker 1: I can't, Okay, I know what the polls say. First

1611
01:39:51,600 --> 01:39:53,639
Speaker 1: of all, I've have you been called by a pull

1612
01:39:53,720 --> 01:39:57,120
Speaker 1: I've never been pulled in my life for anything, and

1613
01:39:57,200 --> 01:39:59,880
Speaker 1: I'm in my forties. Have I've never answered the phone.

1614
01:40:00,840 --> 01:40:02,720
Speaker 1: I'd had somebody ask me who I was voting for,

1615
01:40:02,920 --> 01:40:05,400
Speaker 1: not once, So I don't know what methodology they're using.

1616
01:40:05,439 --> 01:40:09,840
Speaker 1: Are they still using landlines? Like? How does this even work?

1617
01:40:09,880 --> 01:40:13,040
Speaker 1: How did poles work? I know nobody wants to be

1618
01:40:13,120 --> 01:40:15,559
Speaker 1: stupid and ask these questions out lot except for me.

1619
01:40:15,600 --> 01:40:19,599
Speaker 1: I don't care. I honestly don't know, but I'm saying.

1620
01:40:20,280 --> 01:40:22,400
Speaker 1: My point being is I know what the poles say,

1621
01:40:22,640 --> 01:40:25,679
Speaker 1: but I'm looking around. I mean, my god, I'm seeing

1622
01:40:25,840 --> 01:40:28,760
Speaker 1: tens of thousands of people in a Michigan rally right

1623
01:40:28,800 --> 01:40:34,479
Speaker 1: now in the freezing cold weather. I'm seeing the Amish

1624
01:40:34,720 --> 01:40:39,000
Speaker 1: have buggy whip the carts where they call those, you know,

1625
01:40:39,000 --> 01:40:42,519
Speaker 1: the horse drawn carriages, And then I almost said it,

1626
01:40:42,560 --> 01:40:46,640
Speaker 1: the horse drawn carriages and stuff that they drive. The

1627
01:40:46,720 --> 01:40:51,439
Speaker 1: Amish are having parades with their horse drawn carriages, you know.

1628
01:40:51,520 --> 01:40:53,680
Speaker 1: So I look at all that, and I'm saying, I

1629
01:40:53,720 --> 01:40:55,439
Speaker 1: know what the poles say, but I'm looking. I know

1630
01:40:55,479 --> 01:40:57,839
Speaker 1: what my eyes say too. And I look at Sleepy

1631
01:40:57,920 --> 01:41:00,120
Speaker 1: Joe and he's got like six people out there, and

1632
01:41:00,200 --> 01:41:04,080
Speaker 1: those are all members of the press. I don't know.

1633
01:41:04,400 --> 01:41:06,320
Speaker 1: It could be, it could be a crazy time. I

1634
01:41:06,320 --> 01:41:08,880
Speaker 1: don't know. It's exciting. This is the thing. And again

1635
01:41:08,960 --> 01:41:11,760
Speaker 1: going back to the liberal pathology, you know, where they're like,

1636
01:41:11,840 --> 01:41:14,080
Speaker 1: oh my god, I'm thout draft. I'm like, you know what,

1637
01:41:14,160 --> 01:41:16,759
Speaker 1: this is exciting? Isn't it exciting? Aren't you too excited?

1638
01:41:16,760 --> 01:41:20,320
Speaker 1: It's kind of cool. Is this history? It's historic? And

1639
01:41:20,479 --> 01:41:24,000
Speaker 1: a stupid Sleepy Joe gets in there cares, then it'll

1640
01:41:24,040 --> 01:41:27,120
Speaker 1: be he'll slide into dementia and that'll be fun for

1641
01:41:27,160 --> 01:41:30,160
Speaker 1: all of us too. So that'll be good podcast material. Okay,

1642
01:41:30,200 --> 01:41:32,519
Speaker 1: So where was I want to get to that. Oh,

1643
01:41:32,560 --> 01:41:36,360
Speaker 1: I want to get to a coronavirus update for you. Okay,

1644
01:41:36,439 --> 01:41:42,599
Speaker 1: So we're closing in on a big number worldwide coronavirus cases.

1645
01:41:42,600 --> 01:41:46,160
Speaker 1: These are positive confirmed cases. We're sitting at forty seven million,

1646
01:41:46,400 --> 01:41:48,920
Speaker 1: three hundred and twenty seven thousand, four hundred and eight.

1647
01:41:48,960 --> 01:41:53,160
Speaker 1: That's right, closing in on fifty million cases worldwide. Now,

1648
01:41:53,200 --> 01:41:57,000
Speaker 1: worldwide deaths, we're looking at one million, two hundred and

1649
01:41:57,000 --> 01:42:03,040
Speaker 1: eleven thousand, four hundred and twenty eight. Notably, more than

1650
01:42:03,120 --> 01:42:06,720
Speaker 1: thirty four million people have gotten the coronavirus and recovered

1651
01:42:06,760 --> 01:42:12,160
Speaker 1: from it. As far as America, we have a total

1652
01:42:12,240 --> 01:42:15,799
Speaker 1: case count of nine million, five hundred and sixty seven thousand,

1653
01:42:15,960 --> 01:42:20,920
Speaker 1: five hundred and forty three. Obviously, that's significantly less than

1654
01:42:20,920 --> 01:42:23,080
Speaker 1: even ten percent of the population of the United States

1655
01:42:23,120 --> 01:42:26,800
Speaker 1: has even contracted the coronavirus as far as we know,

1656
01:42:26,920 --> 01:42:29,240
Speaker 1: I mean, maybe maybe maybe a bunch more people have

1657
01:42:29,320 --> 01:42:33,240
Speaker 1: gotten it never even knew they had it. Our death

1658
01:42:33,320 --> 01:42:36,080
Speaker 1: count in the US meanwhile, according and this is all

1659
01:42:36,120 --> 01:42:39,120
Speaker 1: on the worldometers dot info site. That's the one I've

1660
01:42:39,160 --> 01:42:41,680
Speaker 1: been using consistently for the podcast, so I figured i'd

1661
01:42:41,680 --> 01:42:44,800
Speaker 1: just stick with it. It runs slightly ahead of the

1662
01:42:44,840 --> 01:42:48,679
Speaker 1: CDC deaths, but in the USA our total death count

1663
01:42:48,720 --> 01:42:50,760
Speaker 1: is now two hundred and thirty six thousand, nine hundred

1664
01:42:50,800 --> 01:42:52,840
Speaker 1: and ninety seven. And yes, yes, I know, don't start

1665
01:42:52,840 --> 01:42:54,800
Speaker 1: with me about what is a coronavirus death and what

1666
01:42:54,920 --> 01:42:56,680
Speaker 1: is not. I've gone over all that extensively. I'm not

1667
01:42:56,680 --> 01:42:58,519
Speaker 1: going to get into it. I agree with you on that,

1668
01:42:58,640 --> 01:43:01,280
Speaker 1: by the way. I know, it's like you know what

1669
01:43:01,320 --> 01:43:03,080
Speaker 1: I like in it too. Remember back in a day

1670
01:43:03,120 --> 01:43:06,720
Speaker 1: when the anti smoking stuff was really big, it used

1671
01:43:06,760 --> 01:43:09,000
Speaker 1: to be like, you know, four hundred thousand people a

1672
01:43:09,040 --> 01:43:11,840
Speaker 1: year died from smoking or whatever. But then it turned

1673
01:43:11,880 --> 01:43:14,280
Speaker 1: out they'd find like a guy who was like ninety

1674
01:43:14,640 --> 01:43:18,400
Speaker 1: and if he died and he smoked, he died of smoking,

1675
01:43:18,880 --> 01:43:20,760
Speaker 1: you know. And it's similar to that with it. I

1676
01:43:20,800 --> 01:43:23,960
Speaker 1: don't know exactly how they determine it. Basically, they're saying,

1677
01:43:24,000 --> 01:43:29,200
Speaker 1: anybody who dies who has COVID died of COVID. So

1678
01:43:29,280 --> 01:43:32,080
Speaker 1: you have these people and we all know the statistics

1679
01:43:32,080 --> 01:43:36,960
Speaker 1: by now very elderly suffering multiple underlying conditions, but if

1680
01:43:37,000 --> 01:43:40,280
Speaker 1: they have coronavirus, they died of COVID. So I don't

1681
01:43:40,280 --> 01:43:45,639
Speaker 1: know exactly how they're justifying that. At all. But what's

1682
01:43:45,640 --> 01:43:49,720
Speaker 1: going on now while we're having a big surge in cases,

1683
01:43:50,000 --> 01:43:52,920
Speaker 1: And yes, you can debate whether cases matter or not,

1684
01:43:53,400 --> 01:43:56,680
Speaker 1: basically hospitalizations and deaths or what really matter? We the

1685
01:43:56,720 --> 01:43:59,040
Speaker 1: most important thing is to not overwhelm the hospitals. But

1686
01:44:00,160 --> 01:44:06,040
Speaker 1: we are going through a crazy surge in coronavirus cases

1687
01:44:06,080 --> 01:44:10,840
Speaker 1: and it is basically consuming the US. It's it is

1688
01:44:10,880 --> 01:44:16,120
Speaker 1: pretty striking now they think that new cases is only

1689
01:44:16,160 --> 01:44:18,280
Speaker 1: going to go up. Now if you look at the

1690
01:44:18,320 --> 01:44:23,479
Speaker 1: fourteen day change in cases, our fourteen day change in

1691
01:44:23,520 --> 01:44:27,160
Speaker 1: the United States for cases is up forty five percent.

1692
01:44:28,760 --> 01:44:33,400
Speaker 1: The fourteen day change in new deaths is up seventeen percent.

1693
01:44:34,600 --> 01:44:36,760
Speaker 1: And as far as hot spots in the US, if

1694
01:44:36,760 --> 01:44:38,479
Speaker 1: you look at a map, it's pretty much all like

1695
01:44:38,600 --> 01:44:45,000
Speaker 1: Upper Midwest. It's like North and South Dakota, Minnesota, Montana,

1696
01:44:45,360 --> 01:44:50,920
Speaker 1: that kind of area. So it's serious though, there's the

1697
01:44:51,200 --> 01:44:54,240
Speaker 1: surges are pushing into the ring. In Colorado, hospitalization of

1698
01:44:54,320 --> 01:44:59,839
Speaker 1: COVID nineteen patients have tripled since early September. In Utah,

1699
01:45:00,080 --> 01:45:06,800
Speaker 1: intensive care units were at seventy one percent capacity. Idaho

1700
01:45:07,720 --> 01:45:10,880
Speaker 1: is averaging about eight hundred and fifteen new cases each day,

1701
01:45:11,080 --> 01:45:14,679
Speaker 1: more than triple the numbers seen just six weeks ago.

1702
01:45:14,720 --> 01:45:17,120
Speaker 1: And on a personal note, I was in Idaho like

1703
01:45:17,160 --> 01:45:20,080
Speaker 1: about a month ago, and I can tell you nobody

1704
01:45:20,160 --> 01:45:23,439
Speaker 1: is wearing masks and nobody cares about coronavirus up there.

1705
01:45:24,400 --> 01:45:27,519
Speaker 1: Hospitalizations in Wyoming have more than doubled in the past

1706
01:45:27,520 --> 01:45:30,599
Speaker 1: two weeks. The governor of Wyoming is under a fourteen

1707
01:45:30,640 --> 01:45:36,439
Speaker 1: day quarantine. By the way, and in Texas, the El

1708
01:45:36,520 --> 01:45:40,200
Speaker 1: Paso area has the nation's third highest per capita rate

1709
01:45:40,240 --> 01:45:44,720
Speaker 1: for new cases. Let me see here what else is going.

1710
01:45:44,840 --> 01:45:50,320
Speaker 1: Ten of the twenty US metro areas with the highest

1711
01:45:50,400 --> 01:45:54,000
Speaker 1: rates of recent cases are in Wisconsin. Of all places,

1712
01:45:54,800 --> 01:45:57,759
Speaker 1: the United States set records on Sunday for the average

1713
01:45:57,840 --> 01:46:00,800
Speaker 1: number of new virus cases over seven day period more

1714
01:46:00,800 --> 01:46:05,040
Speaker 1: than eighty two thousand daily, and the total number of

1715
01:46:05,080 --> 01:46:07,439
Speaker 1: new cases over the same amount of time more than

1716
01:46:07,520 --> 01:46:13,080
Speaker 1: five hundred and seventy nine thousand cases. On Monday, the

1717
01:46:13,200 --> 01:46:16,439
Speaker 1: US tallied more than ninety three thousand cases. That's our

1718
01:46:16,479 --> 01:46:22,280
Speaker 1: second highest daily total. In Massachusetts, they're issuing a stay

1719
01:46:22,280 --> 01:46:24,600
Speaker 1: at home advisory for the hours of ten pm to

1720
01:46:24,720 --> 01:46:31,920
Speaker 1: five am. M New Jersey they reported one thousand, three

1721
01:46:31,960 --> 01:46:33,760
Speaker 1: hundred and seventy nine new cases on money. That is

1722
01:46:33,760 --> 01:46:38,280
Speaker 1: the sixteenth straight day of more than one thousand cases.

1723
01:46:39,360 --> 01:46:45,840
Speaker 1: And they're setting records indeed in Colorado also And let's

1724
01:46:45,840 --> 01:46:47,519
Speaker 1: just goes on and on, and I don't know what's

1725
01:46:47,560 --> 01:46:50,160
Speaker 1: the what's the end game here? Let's we're gonna talk

1726
01:46:50,200 --> 01:46:52,040
Speaker 1: more when I come back. We're gonna talk more about

1727
01:46:52,080 --> 01:46:56,479
Speaker 1: what is the endgame, what's the goal? And what can

1728
01:46:56,520 --> 01:46:59,080
Speaker 1: we do, if anything, to deal with us more on

1729
01:46:59,160 --> 01:47:13,240
Speaker 1: a Jesse Kelly after this carshield dot com. Remember that

1730
01:47:13,840 --> 01:47:19,559
Speaker 1: because Carshield is America's number one auto protection company, they

1731
01:47:19,600 --> 01:47:24,320
Speaker 1: offer flexible payments. They offer a range of protection plans,

1732
01:47:24,400 --> 01:47:27,799
Speaker 1: not one. I know you've seen these auto protection companies.

1733
01:47:27,800 --> 01:47:30,960
Speaker 1: You log in and there's wait, there's one plan. How

1734
01:47:30,960 --> 01:47:33,160
Speaker 1: can there be one plan? I need different things than

1735
01:47:33,240 --> 01:47:36,040
Speaker 1: you need. You need different things than producer Chris needs.

1736
01:47:36,080 --> 01:47:38,559
Speaker 1: We all need something different. So they give you options

1737
01:47:38,560 --> 01:47:40,720
Speaker 1: there and the best part of it for me is

1738
01:47:41,160 --> 01:47:43,400
Speaker 1: they give you the freedom to pick your favorite mechanic

1739
01:47:43,560 --> 01:47:46,519
Speaker 1: or dealership to do the work. Because what happens with

1740
01:47:46,640 --> 01:47:50,320
Speaker 1: lots of these companies, something goes wrong. They send you

1741
01:47:50,400 --> 01:47:52,840
Speaker 1: the one dealer you can go to. Well, wait, this

1742
01:47:52,920 --> 01:47:55,000
Speaker 1: is the twenty miles from my house. Can I go

1743
01:47:55,040 --> 01:47:57,840
Speaker 1: to anything closer? No, that's the only one we trust. Well,

1744
01:47:57,920 --> 01:48:02,640
Speaker 1: thanks a lot. Now I'm screwed. Go tocarshield dot com.

1745
01:48:02,680 --> 01:48:05,320
Speaker 1: That'scarshield dot com. When you do that, don't forget to

1746
01:48:05,400 --> 01:48:08,559
Speaker 1: use the code Jesse save ten percent off your plan.

1747
01:48:08,920 --> 01:48:29,840
Speaker 1: Don't forget a deductible may apply. All right, guys, back

1748
01:48:29,880 --> 01:48:32,200
Speaker 1: here on the Jesse Kelly Show, b K sitting in

1749
01:48:32,360 --> 01:48:34,840
Speaker 1: with you. We're talking about the coronavirus stuff, and I

1750
01:48:34,840 --> 01:48:36,640
Speaker 1: just wanted to keep going with our update kind of

1751
01:48:36,680 --> 01:48:39,559
Speaker 1: around the world. It's not just us. And as I

1752
01:48:39,600 --> 01:48:42,800
Speaker 1: said at the beginning of the program, this virus is

1753
01:48:43,800 --> 01:48:45,840
Speaker 1: it seems to be doing what it's going to do,

1754
01:48:45,920 --> 01:48:48,800
Speaker 1: and it's defying all expectations. Now there's some good news.

1755
01:48:48,840 --> 01:48:51,360
Speaker 1: For one thing, we've gotten pretty good at treating it.

1756
01:48:51,400 --> 01:48:55,200
Speaker 1: We've gotten a lot better. The mortality rates are falling dramatically,

1757
01:48:55,840 --> 01:48:58,559
Speaker 1: and it seems like a lot of lessons have been learned.

1758
01:48:58,600 --> 01:49:03,360
Speaker 1: So that's good. But no matter what happens, the virus

1759
01:49:03,439 --> 01:49:06,000
Speaker 1: keeps going, and it seems to it it doesn't matter

1760
01:49:06,000 --> 01:49:08,240
Speaker 1: if the country's locked down, and it doesn't matter if

1761
01:49:08,240 --> 01:49:12,519
Speaker 1: the country stayed open. For example, Germany is entering a

1762
01:49:12,600 --> 01:49:15,320
Speaker 1: new partial lockdown on Monday. In Germany, recall a few

1763
01:49:15,360 --> 01:49:18,439
Speaker 1: months ago, everybody was like, well, what did Germany do right,

1764
01:49:18,960 --> 01:49:21,720
Speaker 1: because they, out of all the countries in Europe, seem

1765
01:49:21,800 --> 01:49:25,120
Speaker 1: to have been spared the worst of it. But now

1766
01:49:25,320 --> 01:49:30,360
Speaker 1: they have skyrocketing coronavirus cases across Germany and the rest

1767
01:49:30,360 --> 01:49:35,640
Speaker 1: of Europe. So under these new rules, the German restaurants,

1768
01:49:35,680 --> 01:49:37,840
Speaker 1: bars and gyms will have to close down for the

1769
01:49:37,880 --> 01:49:40,880
Speaker 1: next month. And this policy is designed to bring Germany's

1770
01:49:40,920 --> 01:49:44,280
Speaker 1: per capita rate of new cases below fifty per one

1771
01:49:44,360 --> 01:49:47,000
Speaker 1: hundred thousand residents. Right now it's at one hundred and

1772
01:49:47,000 --> 01:49:53,400
Speaker 1: twenty eight per one hundred thousand residents. So what else

1773
01:49:53,439 --> 01:49:58,440
Speaker 1: about the europe countries? While Europe as a whole surpassed

1774
01:49:58,600 --> 01:50:03,000
Speaker 1: ten million confirmed cases and two hundred and sixty eight

1775
01:50:03,040 --> 01:50:07,479
Speaker 1: thousand COVID nineteen deaths as of last Sunday, as many

1776
01:50:07,520 --> 01:50:12,000
Speaker 1: countries impose tough new restrictions as discussed earlier, France begin

1777
01:50:12,040 --> 01:50:15,919
Speaker 1: a national lockdown and Britain is set to enter another

1778
01:50:16,000 --> 01:50:21,519
Speaker 1: one on Thursday, and Prime Minister Boris Johnson of Britain

1779
01:50:21,600 --> 01:50:24,280
Speaker 1: is facing kind of some pushback from his own party,

1780
01:50:24,400 --> 01:50:25,960
Speaker 1: and this is the thing, you guys. People are just

1781
01:50:26,040 --> 01:50:28,840
Speaker 1: over it. You can just tell. And at the end

1782
01:50:28,840 --> 01:50:30,679
Speaker 1: of the day, nobody wants to say that's out loud.

1783
01:50:30,720 --> 01:50:32,960
Speaker 1: I've said it a bunch of times. This is a

1784
01:50:33,040 --> 01:50:36,760
Speaker 1: culling of the herd. This is it. You know. People

1785
01:50:36,800 --> 01:50:41,120
Speaker 1: get sick and die and it's a sad fact of life. Fortunately,

1786
01:50:41,880 --> 01:50:46,000
Speaker 1: the vast, vast, vast, vast vast majority of those who

1787
01:50:46,040 --> 01:50:50,000
Speaker 1: get sick and die of COVID nineteen are very elderly

1788
01:50:50,120 --> 01:50:52,760
Speaker 1: and have severe underlying conditions. Now, you do what you

1789
01:50:52,800 --> 01:50:54,519
Speaker 1: can to prevent them from getting sick, but at the

1790
01:50:54,520 --> 01:50:57,240
Speaker 1: same time, you can't collapse the global economy and you

1791
01:50:57,280 --> 01:51:03,000
Speaker 1: can't lockdown forever. You just can't do it. It's impossible. Meanwhile,

1792
01:51:03,040 --> 01:51:07,800
Speaker 1: in Italy they are looking at new restrictions. However, they

1793
01:51:07,960 --> 01:51:13,000
Speaker 1: are not going to have another national lockdown. Greece did

1794
01:51:13,040 --> 01:51:16,200
Speaker 1: announce a full lockdown in the country's second largest city,

1795
01:51:16,240 --> 01:51:23,280
Speaker 1: that's the city of Thessaloniki, and what else. Portugal's president

1796
01:51:23,360 --> 01:51:25,960
Speaker 1: said he was considering a strait of emergency would give

1797
01:51:25,960 --> 01:51:29,080
Speaker 1: the government greater powers to impose lockdown restrictions to stop

1798
01:51:29,120 --> 01:51:33,200
Speaker 1: a second wave of nineteen. Now, the death risk from

1799
01:51:33,240 --> 01:51:39,120
Speaker 1: COVID nineteen for elderly people does very sharply among countries.

1800
01:51:40,640 --> 01:51:43,760
Speaker 1: The risk of death from COVID nineteen to people under

1801
01:51:43,800 --> 01:51:48,040
Speaker 1: sixty five is consistent across forty five countries in Europe,

1802
01:51:48,080 --> 01:51:51,679
Speaker 1: Asia and the Americas, but does very dramatically for people

1803
01:51:51,760 --> 01:51:56,080
Speaker 1: above that age. So a lot of this has to

1804
01:51:56,080 --> 01:51:58,439
Speaker 1: do with like nursing homes and people who use like

1805
01:51:58,560 --> 01:52:05,120
Speaker 1: these institutional settings like that. So I don't know. And

1806
01:52:05,120 --> 01:52:06,599
Speaker 1: then what are you going to do about the schools?

1807
01:52:07,400 --> 01:52:09,680
Speaker 1: You know, there's just like there's no good insw of

1808
01:52:09,680 --> 01:52:13,120
Speaker 1: this when these kids don't really get sick and die

1809
01:52:13,200 --> 01:52:16,599
Speaker 1: from this. What's the trade off with the children? We've

1810
01:52:16,640 --> 01:52:19,280
Speaker 1: gone over it many times. We've seen the childhood development

1811
01:52:19,320 --> 01:52:24,200
Speaker 1: experts say, our kids are going to be set behind permanently.

1812
01:52:24,400 --> 01:52:27,479
Speaker 1: You can't get this time back. That's the thing. And

1813
01:52:27,560 --> 01:52:31,080
Speaker 1: for all these good liberals, the poor kids are going

1814
01:52:31,120 --> 01:52:32,800
Speaker 1: to be the ones who suffer the most because they're

1815
01:52:32,800 --> 01:52:34,479
Speaker 1: not going to have the parents who can sit at

1816
01:52:34,479 --> 01:52:37,880
Speaker 1: home and do this stupid education on zoom. It's just

1817
01:52:38,080 --> 01:52:44,439
Speaker 1: not working. And that's the thing that we'll never be

1818
01:52:44,479 --> 01:52:47,120
Speaker 1: able to get back. And we've seen how they have

1819
01:52:47,200 --> 01:52:54,679
Speaker 1: skyrocketing teen depression, suicide rates, drug use, all the other stuff.

1820
01:52:54,680 --> 01:52:57,240
Speaker 1: This is all a cost benefit analysis. We know the

1821
01:52:57,280 --> 01:53:02,400
Speaker 1: cost of the lockdowns. The costs are we just killed

1822
01:53:02,400 --> 01:53:06,439
Speaker 1: a tremendous part of our economy. We're destroying our children,

1823
01:53:07,360 --> 01:53:11,360
Speaker 1: and we're going into incredible amounts of dent printing all

1824
01:53:11,439 --> 01:53:15,920
Speaker 1: kinds of money to hand out for stimulus. It's not good.

1825
01:53:17,120 --> 01:53:21,439
Speaker 1: So where do we go from here? I don't know

1826
01:53:21,439 --> 01:53:23,320
Speaker 1: what to tell you, you know, and I'm not as

1827
01:53:23,320 --> 01:53:26,600
Speaker 1: hardcore as like some people like I'm, for example, I'm

1828
01:53:26,640 --> 01:53:30,479
Speaker 1: all about the social distancing. I'm mister social distancing. I

1829
01:53:30,520 --> 01:53:34,200
Speaker 1: was doing social distancing before it was cool. I'm fine

1830
01:53:34,240 --> 01:53:37,400
Speaker 1: with the hygiene. Indeed, if nothing else comes out of

1831
01:53:37,439 --> 01:53:39,920
Speaker 1: this pandemic, at least will kind of have an increased

1832
01:53:39,920 --> 01:53:43,400
Speaker 1: sense of urgency about like hand washing, personal space, stuff

1833
01:53:43,400 --> 01:53:46,600
Speaker 1: like that. And unlike most people, I'm also fine with

1834
01:53:46,640 --> 01:53:49,720
Speaker 1: the mask I am, and think of it this way.

1835
01:53:49,760 --> 01:53:52,280
Speaker 1: If you're like a guy who hates the masks, try

1836
01:53:52,320 --> 01:53:53,960
Speaker 1: to think of it this way. For one thing, I

1837
01:53:54,040 --> 01:53:56,639
Speaker 1: like the anonymity of the mask. I mean, I put

1838
01:53:56,640 --> 01:53:59,360
Speaker 1: the mask on plus a hat, sunglasses, like you can't

1839
01:53:59,360 --> 01:54:02,000
Speaker 1: even tell who I am. I like that. I don't

1840
01:54:02,040 --> 01:54:03,840
Speaker 1: want anybody knowing who I am as I walk down

1841
01:54:03,880 --> 01:54:06,080
Speaker 1: the street. And in this day and age of like

1842
01:54:06,120 --> 01:54:08,400
Speaker 1: you know, cameras everywhere, Like you know, if I get like,

1843
01:54:08,400 --> 01:54:10,240
Speaker 1: if I have to, like you know, beat some dude's ass,

1844
01:54:10,880 --> 01:54:13,439
Speaker 1: then I'll get off scott free because I won't be caught.

1845
01:54:14,320 --> 01:54:16,599
Speaker 1: And I kind of like, you know, inside with the

1846
01:54:16,600 --> 01:54:18,960
Speaker 1: mask inside. You know, you go the store, have you

1847
01:54:19,000 --> 01:54:22,759
Speaker 1: seen these people in the target breathing all over everything?

1848
01:54:22,800 --> 01:54:24,640
Speaker 1: You really want that guy breathing on your stuff? Or

1849
01:54:24,640 --> 01:54:27,760
Speaker 1: would you rather have that huge, fat, sweaty dude in

1850
01:54:27,840 --> 01:54:31,479
Speaker 1: a mask. I don't think the mask is the worst

1851
01:54:31,520 --> 01:54:34,000
Speaker 1: thing in the world, and I've actually I never did,

1852
01:54:34,200 --> 01:54:36,680
Speaker 1: and now I actually kind of enjoy it, to be

1853
01:54:36,720 --> 01:54:39,960
Speaker 1: honest with you, I don't see the big friggin deal

1854
01:54:40,000 --> 01:54:41,720
Speaker 1: with about with a mask. And if, by the way,

1855
01:54:41,720 --> 01:54:43,480
Speaker 1: and if a store wants you to wear a mask

1856
01:54:43,520 --> 01:54:45,640
Speaker 1: when you go in there, these people I play it

1857
01:54:45,760 --> 01:54:48,200
Speaker 1: every single week on the podcast, you guys, these anti

1858
01:54:48,200 --> 01:54:51,720
Speaker 1: mask weirdos. My god, Like, is it really that big

1859
01:54:51,760 --> 01:54:56,480
Speaker 1: of a deal. I don't even pretend to understand it.

1860
01:54:57,400 --> 01:55:03,360
Speaker 1: One thing also wanted to add with the COVID thing,

1861
01:55:03,400 --> 01:55:05,960
Speaker 1: this story just came out. There's an algorithm they came

1862
01:55:05,960 --> 01:55:08,000
Speaker 1: out with. This is developed in the US. It has

1863
01:55:08,080 --> 01:55:11,640
Speaker 1: correctly identified people with COVID nineteen only by the sound

1864
01:55:11,680 --> 01:55:15,920
Speaker 1: of their coughs. How about that. In testing it achieved

1865
01:55:15,920 --> 01:55:19,960
Speaker 1: a ninety eight point five percent success rate among people

1866
01:55:19,960 --> 01:55:24,600
Speaker 1: who had received an official positive coronavirus test result, rising

1867
01:55:24,640 --> 01:55:28,400
Speaker 1: to one hundred percent in those who had no other symptoms.

1868
01:55:29,560 --> 01:55:33,280
Speaker 1: The researchers would need regulatory approval to develop this algorithm

1869
01:55:33,360 --> 01:55:37,440
Speaker 1: into an app. They said, the crucial difference in the

1870
01:55:37,520 --> 01:55:41,240
Speaker 1: sound of an asymptomatic COVID patient cough could not be

1871
01:55:41,400 --> 01:55:45,560
Speaker 1: heard by human ears. This is so cool. Thank God

1872
01:55:45,600 --> 01:55:50,680
Speaker 1: for these nerds. Huh. Yeah, they basically did a bunch

1873
01:55:50,680 --> 01:55:54,080
Speaker 1: of sample sounds and they got it. They got these

1874
01:55:54,120 --> 01:55:56,760
Speaker 1: sample sounds like cough and breath sounds submitted by three

1875
01:55:56,840 --> 01:55:59,720
Speaker 1: hundred and seventy eight members of the public and now

1876
01:56:00,640 --> 01:56:05,160
Speaker 1: they have like over thirty thousand recordings, so they were

1877
01:56:05,200 --> 01:56:10,040
Speaker 1: able to basically collect let me just translate this, so

1878
01:56:10,080 --> 01:56:12,840
Speaker 1: in other words, they got collection of sounds from a

1879
01:56:12,880 --> 01:56:14,960
Speaker 1: tons and tons and tons of people with COVID and

1880
01:56:14,960 --> 01:56:17,520
Speaker 1: without COVID, and then the algorithm figures out like who

1881
01:56:17,560 --> 01:56:20,320
Speaker 1: coughs when somebody coughs, That's how they have COVID, if

1882
01:56:20,320 --> 01:56:23,920
Speaker 1: that makes sense. Pretty remarkable. And then you know the

1883
01:56:23,960 --> 01:56:26,000
Speaker 1: other thing I wanted to talk about really quick with

1884
01:56:26,080 --> 01:56:28,400
Speaker 1: the COVID thing. Did you see when the Dodgers won

1885
01:56:28,400 --> 01:56:34,320
Speaker 1: the World Series and the big controversy was Justin Turner,

1886
01:56:34,760 --> 01:56:37,640
Speaker 1: the Dodgers third baseman. You know what this made me

1887
01:56:37,680 --> 01:56:40,879
Speaker 1: want to vomit? All the stupid sports traders. So basically,

1888
01:56:41,760 --> 01:56:45,320
Speaker 1: the Dodgers pulled Turner from the game because they learned

1889
01:56:45,360 --> 01:56:49,160
Speaker 1: he is He tested positive before the eighth inning, so

1890
01:56:49,200 --> 01:56:50,880
Speaker 1: they pulled him out of the game because for some reason,

1891
01:56:50,920 --> 01:56:52,640
Speaker 1: they didn't get the test results back until the game

1892
01:56:52,680 --> 01:56:57,160
Speaker 1: was almost over. But then you can see Turner on

1893
01:56:57,200 --> 01:56:59,800
Speaker 1: the field after the Dodgers won, like, you know, kissing

1894
01:56:59,800 --> 01:57:03,600
Speaker 1: his wife, holding the World Series trophy, well without a

1895
01:57:03,680 --> 01:57:07,040
Speaker 1: mask because the New York Times rights and then gasp,

1896
01:57:07,160 --> 01:57:10,160
Speaker 1: he took his place at the center of a team photograph.

1897
01:57:10,200 --> 01:57:14,839
Speaker 1: So then all the woke, stupid ass sportswriters start piling

1898
01:57:14,840 --> 01:57:19,240
Speaker 1: on the guy. Oh, you're so selfish, how dare you? Like,

1899
01:57:19,280 --> 01:57:23,600
Speaker 1: are you freaking kidding me? The guy he just reached

1900
01:57:23,600 --> 01:57:27,800
Speaker 1: the pinnacle of his career, Like to imagine, imagine as

1901
01:57:27,840 --> 01:57:30,240
Speaker 1: a child playing Little League and one day you're gonna

1902
01:57:30,240 --> 01:57:34,000
Speaker 1: win the World Series. And all these stupid journalists that

1903
01:57:34,440 --> 01:57:37,680
Speaker 1: he should have sat in a dugout while his teammates

1904
01:57:37,760 --> 01:57:41,960
Speaker 1: were celebrating him the field. Talk about out of touch,

1905
01:57:42,720 --> 01:57:44,920
Speaker 1: But this is the culture we live in now, These

1906
01:57:45,040 --> 01:57:49,640
Speaker 1: idiot woke bloggers like run the world, and it makes

1907
01:57:49,680 --> 01:57:51,600
Speaker 1: me want to bar if it's like you've obviously never

1908
01:57:51,600 --> 01:57:53,800
Speaker 1: played a team sport in your life, It's ridiculous. I

1909
01:57:53,840 --> 01:57:56,040
Speaker 1: just want to tell him all to shut up more

1910
01:57:56,160 --> 01:58:14,000
Speaker 1: after this on the Jesse Kelly Show, Wake up and text,

1911
01:58:15,320 --> 01:58:20,880
Speaker 1: Text and eat, Text and catch the bus, Text and

1912
01:58:20,960 --> 01:58:25,600
Speaker 1: miss your stop. Wait wait, Text and be late to work,

1913
01:58:26,280 --> 01:58:31,320
Speaker 1: Sorry late, Text and work, Text and pretend to work,

1914
01:58:32,840 --> 01:58:35,080
Speaker 1: Text and x surprised when someone calls you out for

1915
01:58:35,160 --> 01:58:38,440
Speaker 1: not working. Text and meet up with a friend you

1916
01:58:38,440 --> 01:58:42,360
Speaker 1: haven't seen in forever. Oh, Text and complain that they're

1917
01:58:42,360 --> 01:58:45,920
Speaker 1: on their phone the whole time. Text and listen to them,

1918
01:58:45,920 --> 01:58:50,880
Speaker 1: complain that you're on your phone the whole time. Text

1919
01:58:50,920 --> 01:58:54,160
Speaker 1: and whatever. But when you get behind the wheel, give

1920
01:58:54,200 --> 01:58:56,840
Speaker 1: your phone to a passenger, put it in the glove box.

1921
01:58:57,520 --> 01:59:01,600
Speaker 1: Just don't text and drive, they said, stop texts Stop

1922
01:59:01,600 --> 01:59:04,640
Speaker 1: rerex dot org. A public service announcement brought to you

1923
01:59:04,680 --> 01:59:08,200
Speaker 1: by the National Highway Traffic Safety Administration and the AD Council.

1924
01:59:22,600 --> 01:59:24,360
Speaker 1: All right, coming down to the finish line here on

1925
01:59:24,400 --> 01:59:27,680
Speaker 1: the Jesse Kelly Show one more time. B K here

1926
01:59:27,800 --> 01:59:33,120
Speaker 1: in for Jesse. A few headlines from the news before

1927
01:59:33,160 --> 01:59:34,640
Speaker 1: we get out of here, you guys. First of all,

1928
01:59:34,680 --> 01:59:37,880
Speaker 1: I want to cover this story of the Philippines. A

1929
01:59:37,920 --> 01:59:41,320
Speaker 1: police officer into Philippines was killed after a fighting rooster

1930
01:59:41,520 --> 01:59:45,080
Speaker 1: slashed him during a raid on an illegal cock fighting den.

1931
01:59:46,320 --> 01:59:49,720
Speaker 1: What a way to go. Thirty eight year old Lieutenant

1932
01:59:49,840 --> 01:59:53,480
Speaker 1: Christian Bullock was part of a team that descended on

1933
01:59:53,560 --> 01:59:56,600
Speaker 1: an arena in the Philippines after it was suspected of

1934
01:59:56,720 --> 02:00:02,680
Speaker 1: violating lockdown rules against mass gatherings. Well, everybody kind of

1935
02:00:02,720 --> 02:00:07,040
Speaker 1: scattered once the cops kicked in the door. So Officer

1936
02:00:07,120 --> 02:00:10,120
Speaker 1: Bullock tried to pick up one of the roosters that was,

1937
02:00:10,200 --> 02:00:13,080
Speaker 1: you know, the cock fighting. Well, he didn't notice that

1938
02:00:13,160 --> 02:00:17,640
Speaker 1: it still had its bladed spurs on. These fighting roosters

1939
02:00:17,680 --> 02:00:21,040
Speaker 1: typically have a razor sharp steel blade called a gaff

1940
02:00:21,120 --> 02:00:25,640
Speaker 1: attached their legs. So this bird that he grabs, slashes them,

1941
02:00:26,800 --> 02:00:30,600
Speaker 1: clips the guy in the fhemeral artery and he died

1942
02:00:30,680 --> 02:00:33,720
Speaker 1: in bled out within minutes. You believe this, I mean

1943
02:00:33,800 --> 02:00:36,160
Speaker 1: clearly didn't have like a simple tournique probably would have

1944
02:00:36,200 --> 02:00:42,560
Speaker 1: saved his life. Interestingly enough, cockfighting is legalized in many

1945
02:00:42,560 --> 02:00:45,480
Speaker 1: areas of the Philippines, and sometimes matches are on TV,

1946
02:00:46,360 --> 02:00:48,720
Speaker 1: but the government did ban it and other events in

1947
02:00:48,800 --> 02:00:51,600
Speaker 1: March to spread to stop the spread of the coronavirus.

1948
02:00:51,920 --> 02:00:53,920
Speaker 1: And it's pretty interesting, you know. I'm not proud to

1949
02:00:53,960 --> 02:00:57,320
Speaker 1: say it, but I would totally go to a cockfighting match. Again,

1950
02:00:57,920 --> 02:01:02,560
Speaker 1: the strict animal hierarchy chickens, roosters not very high on it.

1951
02:01:03,160 --> 02:01:05,440
Speaker 1: I would totally go watch it. I know. See, I'm

1952
02:01:05,440 --> 02:01:08,280
Speaker 1: only like twenty minutes away from Tijuana here in San Diego,

1953
02:01:09,120 --> 02:01:12,000
Speaker 1: and I'm pretty sure they have cockfighting matches down there.

1954
02:01:12,080 --> 02:01:14,560
Speaker 1: So if anybody's got the hook up for the Tijuana

1955
02:01:14,560 --> 02:01:18,080
Speaker 1: cockfighting match, let me know. Again. I'm not really proud

1956
02:01:18,120 --> 02:01:20,000
Speaker 1: of it, but I would I totally go watch a

1957
02:01:20,000 --> 02:01:22,640
Speaker 1: cockfighting match and gamble on it and enjoy it. Yeah,

1958
02:01:22,640 --> 02:01:24,720
Speaker 1: I would. I know. I'm not above it. I'm an animal,

1959
02:01:25,840 --> 02:01:30,640
Speaker 1: and let's go to Canada. The police in Quebec City

1960
02:01:30,800 --> 02:01:33,480
Speaker 1: said on Sunday they had arrested a man dressed in

1961
02:01:33,640 --> 02:01:37,160
Speaker 1: medieval garb and brandishing a sword after a series of

1962
02:01:37,240 --> 02:01:42,240
Speaker 1: stabbings on Halloween night left two people dead. The attacks

1963
02:01:42,240 --> 02:01:46,800
Speaker 1: occurred late Saturday in a historic district of Quebec City

1964
02:01:47,720 --> 02:01:54,280
Speaker 1: during Halloween, and they identified the suspected attacker as Carl Girard,

1965
02:01:54,800 --> 02:01:58,400
Speaker 1: twenty four years old, and he was charged with two

1966
02:01:58,440 --> 02:02:02,320
Speaker 1: counts of first degree murder and five counts of attempted murder.

1967
02:02:03,360 --> 02:02:07,320
Speaker 1: The mayor suggested that mental illness might have been a factor. Yeah,

1968
02:02:07,480 --> 02:02:12,640
Speaker 1: no kidding. He used a Japanese style sword, so like

1969
02:02:12,720 --> 02:02:16,120
Speaker 1: you know, katana sword, and lunged at his victims, appearing

1970
02:02:16,160 --> 02:02:21,520
Speaker 1: to choose them randomly. Wow. The two people killed was

1971
02:02:21,560 --> 02:02:28,080
Speaker 1: a woman named Francois Duchesney fifty six and Suzanne Claremont

1972
02:02:28,200 --> 02:02:32,760
Speaker 1: sixty one. Wow. Imagine that live all that way only

1973
02:02:32,800 --> 02:02:34,680
Speaker 1: to have some nut kill you with a sword on

1974
02:02:34,760 --> 02:02:38,680
Speaker 1: Halloween night. You know, I've talked about this next topic

1975
02:02:38,720 --> 02:02:42,640
Speaker 1: a few times, and lo and behold, a story did

1976
02:02:42,680 --> 02:02:47,080
Speaker 1: come up. How about this? A Corpus Christie resident is

1977
02:02:47,120 --> 02:02:50,640
Speaker 1: going to spend seven years in prison for possessing child pornography.

1978
02:02:50,760 --> 02:02:52,920
Speaker 1: That isn't really what makes it interesting. I cover those

1979
02:02:52,960 --> 02:02:59,720
Speaker 1: guys a lot. But here's why. He This is lazarro Velasquez,

1980
02:02:59,800 --> 02:03:04,000
Speaker 1: forty four years old. He had a child's size sex

1981
02:03:04,080 --> 02:03:09,560
Speaker 1: doll made of rags and clothed in children's items that

1982
02:03:09,600 --> 02:03:14,680
Speaker 1: were covered in his bodily fluids. I don't even know

1983
02:03:14,680 --> 02:03:16,560
Speaker 1: what I'm allowed to say on the radio. You know

1984
02:03:16,560 --> 02:03:22,760
Speaker 1: what I'm talking about. So they also discovered pictures that

1985
02:03:22,880 --> 02:03:26,080
Speaker 1: Velaska's owned of a local child, which were not pornographic,

1986
02:03:26,160 --> 02:03:29,760
Speaker 1: but Velaska's altered these photos with captions that made it

1987
02:03:29,800 --> 02:03:33,160
Speaker 1: appear that the child was asking Velaska's to perform sexual

1988
02:03:33,560 --> 02:03:37,920
Speaker 1: acts on her. So that's the thing. This is the

1989
02:03:38,040 --> 02:03:43,160
Speaker 1: creation of child porn, but it's not actual child porn.

1990
02:03:43,160 --> 02:03:44,800
Speaker 1: You just see what I'm saying. This is what I'm saying.

1991
02:03:44,800 --> 02:03:46,360
Speaker 1: It's like a fine line. I've talked about this in

1992
02:03:46,360 --> 02:03:49,160
Speaker 1: the podcast before. Like with this doll he has, right

1993
02:03:49,840 --> 02:03:54,000
Speaker 1: if you like, if you take a regular doll and

1994
02:03:54,080 --> 02:03:57,200
Speaker 1: then you like draw a kid's face on it and

1995
02:03:57,280 --> 02:04:01,240
Speaker 1: like you know, put some strategic holes. I'm not trying

1996
02:04:01,240 --> 02:04:04,800
Speaker 1: to be gross here, but is that then a child

1997
02:04:04,920 --> 02:04:07,120
Speaker 1: sex doll you know what I'm I'm trying to say,

1998
02:04:08,080 --> 02:04:11,400
Speaker 1: like what constitutes child's Like further, what if you take

1999
02:04:11,480 --> 02:04:15,720
Speaker 1: a regular child doll and then alter it? If you

2000
02:04:15,800 --> 02:04:19,920
Speaker 1: know what I mean, is that now a child sex doll?

2001
02:04:19,960 --> 02:04:21,640
Speaker 1: And I'm asking these questions because these are going to

2002
02:04:21,680 --> 02:04:24,200
Speaker 1: come up eventually in a court case. You know what

2003
02:04:24,280 --> 02:04:27,400
Speaker 1: I'm saying. It's like the old joke when guy's in prison,

2004
02:04:27,600 --> 02:04:29,280
Speaker 1: like if you draw, if you like, you've a real

2005
02:04:29,320 --> 02:04:32,600
Speaker 1: good prison cartoonist, right, and he draws you sexual pictures.

2006
02:04:32,720 --> 02:04:35,600
Speaker 1: Is that pornography or is that just art? You know

2007
02:04:35,640 --> 02:04:39,839
Speaker 1: what I'm saying. It's like a real weird line. And indeed,

2008
02:04:39,880 --> 02:04:44,400
Speaker 1: in this case, he had regular pictures which were not pornographic,

2009
02:04:44,480 --> 02:04:48,960
Speaker 1: but he made captions on the regular pictures and then

2010
02:04:49,000 --> 02:04:51,840
Speaker 1: that became pornographic, you know what I mean. So it's

2011
02:04:51,880 --> 02:04:55,040
Speaker 1: a that's a crazy story. And then a bunch of

2012
02:04:55,080 --> 02:04:59,879
Speaker 1: you guys sent this one to me. The man nickname

2013
02:05:00,080 --> 02:05:03,800
Speaker 1: the Sausage King, a Russian oligarch has been murdered with

2014
02:05:03,840 --> 02:05:11,640
Speaker 1: a crossbow. This was Vladimir Virugolf and his partner. We're

2015
02:05:11,680 --> 02:05:15,200
Speaker 1: in an outdoor sauna cabin when they were attacked and

2016
02:05:16,200 --> 02:05:19,360
Speaker 1: they found the body of mister Marugoff, who owned some

2017
02:05:19,400 --> 02:05:23,120
Speaker 1: of Russia's largest meat crossing plants in the sauna with

2018
02:05:23,280 --> 02:05:25,640
Speaker 1: a crossbow next to it. They shot him in the

2019
02:05:25,640 --> 02:05:32,280
Speaker 1: heart with a crossbow. How about that one. Yeah, that's wild.

2020
02:05:32,400 --> 02:05:36,920
Speaker 1: So that's going on. And then finally, a Wisconsin man

2021
02:05:36,920 --> 02:05:39,240
Speaker 1: twenty five has been charged with bludgeoning to death his

2022
02:05:39,400 --> 02:05:42,560
Speaker 1: sex offender grandfather, seventy year olds with a hammer he

2023
02:05:42,680 --> 02:05:45,400
Speaker 1: left lodging his face over a nineteen ninety one crime

2024
02:05:45,440 --> 02:05:47,920
Speaker 1: he happened before he was born. More to finish up

2025
02:05:47,960 --> 02:05:59,160
Speaker 1: after this, on to Jesse Gliboe Gold Alliance. Gold Alliance

2026
02:05:59,320 --> 02:06:02,680
Speaker 1: has been helping people through this process for a while.

2027
02:06:02,840 --> 02:06:05,480
Speaker 1: Let me explain. When I tell you to get a

2028
02:06:05,480 --> 02:06:09,320
Speaker 1: gold Ira, I am not telling you to do something drastic.

2029
02:06:09,440 --> 02:06:11,800
Speaker 1: I'm not telling you to call your broker today and

2030
02:06:11,880 --> 02:06:14,040
Speaker 1: pull all your money out of stocks and bonds. And

2031
02:06:14,080 --> 02:06:16,200
Speaker 1: I would never say anything like that to you, and

2032
02:06:16,320 --> 02:06:19,880
Speaker 1: anybody who does. You should change the channel. I am

2033
02:06:19,880 --> 02:06:24,160
Speaker 1: telling you this though, you need to diversify. There have

2034
02:06:24,280 --> 02:06:29,360
Speaker 1: been several stock market corrections in the past. If we

2035
02:06:29,520 --> 02:06:32,600
Speaker 1: want to be nice about it, you know about them.

2036
02:06:32,720 --> 02:06:37,240
Speaker 1: The people who had hard assets during those massive corrections

2037
02:06:37,680 --> 02:06:40,320
Speaker 1: came out of them just fine. The people who had

2038
02:06:40,440 --> 02:06:44,440
Speaker 1: all their eggs in one basket, well, many of them

2039
02:06:44,480 --> 02:06:48,600
Speaker 1: never got that money back. Ever. Go to god Alliance

2040
02:06:48,680 --> 02:06:52,800
Speaker 1: dot com slash Jesse. That's gold Alliance dot com slash Jesse.

2041
02:06:53,120 --> 02:06:55,360
Speaker 1: You can get up to five thousand dollars in free

2042
02:06:55,360 --> 02:06:59,920
Speaker 1: gold and silver coins. All right, guys, want to thank

2043
02:07:00,080 --> 02:07:03,040
Speaker 1: Jesse for letting me sit in the big seat forum

2044
02:07:03,080 --> 02:07:05,600
Speaker 1: and producer Chris. Of course, we're putting us all together

2045
02:07:05,680 --> 02:07:08,160
Speaker 1: one more time. Please check out World News with b

2046
02:07:08,360 --> 02:07:11,640
Speaker 1: K on iTunes, Spotify, all the rest, and you can

2047
02:07:11,680 --> 02:07:14,360
Speaker 1: follow me on Twitter at Bravo Kilo Actual and check

2048
02:07:14,360 --> 02:07:18,680
Speaker 1: out my Instagram at bk Actual. Guys, listen final thoughts

2049
02:07:18,680 --> 02:07:20,480
Speaker 1: about the election. I don't know who's gonna win, but

2050
02:07:20,520 --> 02:07:22,680
Speaker 1: like remember what I said, this is not the end

2051
02:07:22,720 --> 02:07:27,120
Speaker 1: of the world. If your can doesn't win. Be a man,

2052
02:07:27,960 --> 02:07:30,880
Speaker 1: you know, worry about yourself and your family, worry about

2053
02:07:30,880 --> 02:07:34,480
Speaker 1: the US Constitution. Vote accordingly, and be proactive and be

2054
02:07:34,600 --> 02:07:37,600
Speaker 1: involved in your local elections, especially because that's where stuff

2055
02:07:37,680 --> 02:07:42,320
Speaker 1: really matters, is at the grassroots level, and things are

2056
02:07:42,320 --> 02:07:44,840
Speaker 1: going to work out. Don't get crazy, don't listen to

2057
02:07:44,960 --> 02:07:47,600
Speaker 1: stupid media. None of them have any idea what they're

2058
02:07:47,600 --> 02:07:50,680
Speaker 1: talking about. And it's funny to me because they are

2059
02:07:51,080 --> 02:07:53,560
Speaker 1: all gonna end up missing Trump. And just to make

2060
02:07:53,560 --> 02:07:56,240
Speaker 1: you feel a little bit better, let's do the big

2061
02:07:56,280 --> 02:07:59,400
Speaker 1: finish and yes, one more of these stories. A thirteen

2062
02:07:59,440 --> 02:08:02,160
Speaker 1: year old boy has had a two foot long electrical

2063
02:08:02,200 --> 02:08:05,400
Speaker 1: cable stuck in his bladder for three months after sticking

2064
02:08:05,440 --> 02:08:09,560
Speaker 1: it into his genitals to quote find out where urine

2065
02:08:09,560 --> 02:08:13,360
Speaker 1: comes from. End quote. It's that's a thirteen year old

2066
02:08:13,360 --> 02:08:17,560
Speaker 1: boy in China. Of course, this is where these stories

2067
02:08:17,600 --> 02:08:19,600
Speaker 1: always come out. And I'm looking at the X rays

2068
02:08:19,720 --> 02:08:24,200
Speaker 1: right now and they're fantastic. But yes, this chord was

2069
02:08:24,320 --> 02:08:29,800
Speaker 1: stuck inside his body for three months. And so this kid,

2070
02:08:30,560 --> 02:08:32,360
Speaker 1: I don't believe this story for a minute, but he

2071
02:08:32,400 --> 02:08:34,800
Speaker 1: did say he was curious about where his urine came out,

2072
02:08:34,840 --> 02:08:38,240
Speaker 1: so he decided to jam a two foot electrical wire

2073
02:08:38,800 --> 02:08:43,680
Speaker 1: into his opening of his genitals to find out. Kid,

2074
02:08:44,000 --> 02:08:47,680
Speaker 1: that's not the answer. That's not what you want to do. Guys, again,

2075
02:08:47,760 --> 02:08:50,600
Speaker 1: really appreciate Jesse having me on, and go check out

2076
02:08:50,640 --> 02:08:57,440
Speaker 1: the podcast and we'll see you next time the Jesse

2077
02:08:57,640 --> 02:09:05,480
Speaker 1: Kelly Show. You know your house smells, don't get mad.

2078
02:09:05,480 --> 02:09:07,880
Speaker 1: Don't get mad. My house smells too. I'm not indicting you.

2079
02:09:07,920 --> 02:09:10,520
Speaker 1: I'm sure you keep a clean home, but just time

2080
02:09:11,240 --> 02:09:14,879
Speaker 1: means you're going to acquire smells. Whether those are cooking

2081
02:09:14,960 --> 02:09:18,040
Speaker 1: smells that get in your paint, your carpet, maybe their

2082
02:09:18,080 --> 02:09:21,640
Speaker 1: animals smells. Maybe you're a smoker, or someone else was

2083
02:09:21,720 --> 02:09:26,720
Speaker 1: just living creates smells. I didn't realize that my home

2084
02:09:26,840 --> 02:09:29,840
Speaker 1: had a smell to it until I got my first

2085
02:09:30,120 --> 02:09:33,840
Speaker 1: Eden Pure Thunderstorm, the greatest air purifier I've ever owned

2086
02:09:33,840 --> 02:09:36,640
Speaker 1: in my life. This thing. I had it plugged in

2087
02:09:36,720 --> 02:09:38,560
Speaker 1: for two hours. I came back in the room and

2088
02:09:38,640 --> 02:09:43,240
Speaker 1: my air smells so clean. I now owned three of them.

2089
02:09:43,400 --> 02:09:46,600
Speaker 1: I'm not making that up. This thing has absolutely changed

2090
02:09:46,640 --> 02:09:48,840
Speaker 1: me on top of what it's done from my allergies.

2091
02:09:49,240 --> 02:09:52,080
Speaker 1: Go get one, get two, but you like me and

2092
02:09:52,120 --> 02:09:55,760
Speaker 1: get three. Go to Eden Pure deals dot com. Make

2093
02:09:55,800 --> 02:09:58,800
Speaker 1: sure you use the promo code Jesse that gets you

2094
02:09:58,840 --> 02:10:02,480
Speaker 1: ten bucks off and free shipping. Edenpuredeals dot com Promo

2095
02:10:02,560 --> 02:10:03,360
Speaker 1: code Jesse