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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. If you can turn back now

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Speaker 1: or learn the stuff they don't want you to know. Hello,

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Speaker 1: and welcome back to the show. I am Matt the

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Speaker 1: Fixer Frederick and I am Noel Minambre is Noel Brown. Uh.

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Speaker 1: And they called me Ben I guess and you're listening

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Speaker 1: to h h of all the people I thought you'd

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Speaker 1: be like on the fly with it. Yeah, well, bet

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Speaker 1: Benny two hands, ben N two hands, ben N two

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Speaker 1: hands uh, or my alter ego of course, Max powers

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Speaker 1: astronaut with a secret. Most importantly, folks you are here,

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Speaker 1: give us your nickname suggestions if you have some stuff

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Speaker 1: for Matt Nolan. I uh. This is of course stuff

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Speaker 1: they don't want you to know. And today we're beginning

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Speaker 1: the first of a two part series on on something

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Speaker 1: that requires a disclaimer. And many of you have written

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Speaker 1: to us on Facebook, on Twitter and email um strange

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Speaker 1: messages scrawled in backwards print on mirrors in the dark, uh,

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Speaker 1: saying that you want you want us and your fellow

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Speaker 1: listeners to explore the conspiracy theory surrounding Donald Trump and

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Speaker 1: Hillary Clinton. So I was I think, um, initially pretty

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Speaker 1: hesitant to do this because people can get people, people

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Speaker 1: can get so wrapped up in stuff and not look

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Speaker 1: at it in uh in a more objective way. And

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Speaker 1: I say that because I have been one of those

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Speaker 1: people in the past. So luckily nol Matt, you guys

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Speaker 1: were much more level headed than I am. Um. Uh,

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Speaker 1: let me put in this disclaimer which I'm gonna read

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Speaker 1: through quickly and if you can help me out before

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Speaker 1: I before I do anything crazy. Uh So, First, politics, Yes,

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Speaker 1: there are a passionate touchy thing. And in the United States,

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Speaker 1: the unfortunate truth is that most citizens are what are

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Speaker 1: known as low information voters, meaning like somebody might say,

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Speaker 1: oh man, my dad was a Democrat. His dad was

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Speaker 1: a Democrat, by golly, I'm a Democrat no matter what,

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Speaker 1: or just you know, I like the kind of that

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Speaker 1: guy's jib and his suit, a guy you could sit

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Speaker 1: down and have a beer with. Yeah, But ultimately it

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Speaker 1: feels like a team sport, right, I mean, I'm on

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Speaker 1: this team. I don't know that. That's what I generally

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Speaker 1: have seen in my family, Like the dichotomy of like, well,

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Speaker 1: I'm gonna stick with my team the same way, I

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Speaker 1: don't want those other guys to win. It's more like

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Speaker 1: being in a really big cult. Okay, oh man, when

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Speaker 1: are we gonna start. Let's not offend anybody before we

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Speaker 1: get through the disclaimer though, so let's soldier off. So

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Speaker 1: this creates a situation in which often actual policy, what

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Speaker 1: the people in a power will actually do, takes a

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Speaker 1: backseat to the spectacle reporting of it, you know, like

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Speaker 1: the gaffs that people make, or the the things they

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Speaker 1: wear versus the stuff they think. And regardless of someone's

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Speaker 1: political affiliation, whether you were inside or outside of the

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Speaker 1: United States, you've probably noticed, especially in the primaries, that

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Speaker 1: a lot of the conversation on the Republican Democratic side

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Speaker 1: was not about policy. It was a lot of like, well,

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Speaker 1: let me tell you about my family relatives, and I'm

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Speaker 1: just good old slice of honest America. And we and

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Speaker 1: then we get into the the first two presidential debates,

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Speaker 1: the third one which is happening tonight, and again, policy

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Speaker 1: discussion seems to be non existent, or at least a

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Speaker 1: little blip on the radar of what gets discussed when

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Speaker 1: these when the politicians are actually speaking, and we've got

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Speaker 1: our work cut out for us. Today because both candidates,

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Speaker 1: as we said, are surrounded by conspiracy theories, and in

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Speaker 1: this episode, we're starting out with the candidate who has

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Speaker 1: also propagated some theories himself, and that is Donald Trump.

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Speaker 1: Of course, we're not here to tell you how to

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Speaker 1: vote if you're voting. We're also not here to do

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Speaker 1: some kind of Fox News MSNBC thing with you know,

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Speaker 1: um pushing an agenda on you. This is a collection

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Speaker 1: of the publicly available facts, arguments, and claims made by

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Speaker 1: for and against Mr Donald Trump. And yes, yes, next

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Speaker 1: week we will be back with the exact same sort

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Speaker 1: of episode centered on the Hillary Clinton campaign. We push

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Speaker 1: our agendas exclusively subliminal messages and mind control rays right

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Speaker 1: as required by our sponsor, Illumination Global Unlimited. Moving on. Uh,

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Speaker 1: so here we go. Let's start with the facts strap in.

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Speaker 1: It's gonna be a doozy. So who is Donald Trump?

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Speaker 1: Can you guys tell me a little bit about him?

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Speaker 1: While Donald J. Trump was born in nineteen forty six,

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Speaker 1: the year of our Lord and Queens, New York, the

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Speaker 1: son of a self made real estate mogul by the

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Speaker 1: name of Fred Trump. Uh. He got his start in

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Speaker 1: the family business, which was originally known as Elizabeth Trump

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Speaker 1: and son Um. For a fun fact, Trump's uncle, Dr

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Speaker 1: John G. Trump, was an m I T. Professor. This

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Speaker 1: is the fact that Trump, you know, mentions on the

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Speaker 1: campaign trail occasionally. You know, he comes from smart stock

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Speaker 1: Um and the FBI once asked him to examine Nikolai

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Speaker 1: Tesla's papers when Tesla died, in which we have an

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Speaker 1: episode on because those papers were confiscated for a time

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Speaker 1: after Tesla expired in abject poverty. By the way, in

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Speaker 1: Love with a Bird, That is all true, But you

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Speaker 1: had to quickly get back to the Donald himself. He

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Speaker 1: was working with his father's company before he graduated college,

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Speaker 1: and his first project was a building called the Swifton

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Speaker 1: Village for closed department complex in Cincinnati, Ohio. Right, Yes,

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Speaker 1: that building there in Cincinnati, and it was a successful

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Speaker 1: h It was a successful endeavor. His father, Fred had

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Speaker 1: purchased it for about five point seven million in nine

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Speaker 1: dollars uh. They invested an additional five hundred thousand in it,

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Speaker 1: and they turned it its occupacy rate into a hudd

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Speaker 1: percent from thirty, so it was successful. He Um was

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Speaker 1: giving control of that come opening in seventy one, and

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Speaker 1: he changed the name to the Trump Organization and then

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Speaker 1: began over the next few decades building the brand. Right,

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Speaker 1: this guy was building brands before a lot of people

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Speaker 1: realize that. You know, we live in now Snapchat, social media.

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Speaker 1: Everybody's a brand, right, But this guy was one of

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Speaker 1: the originators of this sort of promotion, or at least

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Speaker 1: one of the most successful. And a lot of what

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Speaker 1: Trump attributes his wealth to UM the specific number, which

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Speaker 1: is still not entirely clear, is that brand UM And

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Speaker 1: how you know? According to Mr Trump and his family,

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Speaker 1: when that brand is attached to something, it instantly is

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Speaker 1: more valuable or has the potential to earn more. It

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Speaker 1: is a midas of the names. Yeah, I like you

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Speaker 1: said that, a midas of marketing and with many different

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Speaker 1: business endeavors. I mean, we can just off the top

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Speaker 1: of our heads name various things have been associated. I

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Speaker 1: mean I'll go first, hotels, casinos, stakes, university for a time,

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Speaker 1: a board game, oh yeah, an airline in an airline,

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Speaker 1: yeah man, vodka vodka as well, wow, casinos of course. Yeah.

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Speaker 1: So these and that's just a small list. So when

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Speaker 1: you are that publicly prominent and successful, what's what's next?

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Speaker 1: You know, if you have a bunch of money if

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Speaker 1: you've had a sense of business experience. Uh. He decided

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Speaker 1: to run for office, to run for the highest office

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Speaker 1: in the land in this country, which is commander in chief,

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Speaker 1: the US presidency. I remember hearing an early early quote

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Speaker 1: from him discussing, how you know you can I've been

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Speaker 1: paying off politicians all my career, and you know now

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Speaker 1: I'm gonna I'm gonna be in control and you can't

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Speaker 1: pay me off because I'm already a billionaire. Yeah, that's

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Speaker 1: one of the arguments. And then also he I don't

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Speaker 1: know how many people know this. Any Trump supporters in

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Speaker 1: the audience are probably already aware of this. His current

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Speaker 1: campaign for presidency is not his first time. In the

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Speaker 1: year two thousands, he briefly pursued nomination for the Reform Party,

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Speaker 1: and historically third parties don't have much of a shot

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Speaker 1: here in this country. So let's talk a little bit about, um,

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Speaker 1: how Trump's political star began to rise within the Republican Party,

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Speaker 1: shall we say? Um? I think everyone remembers all the

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Speaker 1: hubbub surrounding the Tea party ers. Um, Trump kind of

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Speaker 1: became a figurehead within that community. And then give us

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Speaker 1: a quick rundown of what the Tea Party was all about.

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Speaker 1: So the Tea Party was in The Tea Party is

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Speaker 1: still active. Uh, was fighting from their perspective, like it's

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Speaker 1: become more of the establishment, the Republican establishment now. But

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Speaker 1: when they were they were protesting the federal government and

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Speaker 1: they had um conservative positions. Uh. They wanted a reduction

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Speaker 1: in the debt and the federal deficit. Also wanted lower taxes,

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Speaker 1: so you could say, uh oh when they were against them.

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Speaker 1: The healthcare movements of the time, which became what is

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Speaker 1: optimized opponents called Obamacare, often called um universal healthcare by

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Speaker 1: the by its supporters. But I don't think it's quite

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Speaker 1: universal healthcare. Well it's not, but the it's sort of

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Speaker 1: a mixture of some thoughts from libertarian ends of the

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Speaker 1: spectrum and populist and conservative activism. So slightly over ten

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Speaker 1: percent of U. S Citizens identify by as Tea Party,

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Speaker 1: so this is not a small amount of people. But

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Speaker 1: Donald Trump became sort of attached with that. And what's

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Speaker 1: interesting is the the populist rise, which we will talk

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Speaker 1: about later on in the show. Uh. The populace rise

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Speaker 1: has created a situation where arguably the party insiders and

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Speaker 1: the party officials of the Republican side are not representing

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Speaker 1: the interests of the Republican voters, many of whom do

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Speaker 1: support this candidate, but a lot of the insiders, you know,

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Speaker 1: the governors, the congress folks and stuff, uh, don't support them.

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Speaker 1: Hence the Tea Party name referencing the Boston Tea Party

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Speaker 1: where they were protesting or the colonists were protesting the

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Speaker 1: fact that they were being taxed by their British overlords,

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Speaker 1: um and it was not benefiting them in any way.

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Speaker 1: They were basically shipping their money overseas and it was

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Speaker 1: not doing them any favors. So I think the idea airs.

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Speaker 1: You know, the federal government is not here for us.

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Speaker 1: We need to protest it and make it more about

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Speaker 1: what the actual people need. Right. That is the you know,

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Speaker 1: on paper, that is what the idea is. And similar

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Speaker 1: to the occupied protest from recent history, the Tea Party

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Speaker 1: movement doesn't have a central leader, so a lot of

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Speaker 1: the positions at various state level organizations are are going

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Speaker 1: to emphasize different things. It's not a monolithic thing, but

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Speaker 1: it did become attached and associated with Donald Trump in

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Speaker 1: the public eye because of the allegations he made her

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Speaker 1: questions he had regarding the backgrounds of Barack Obama, because

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Speaker 1: that goes well back, even into Barack Obama's first term, right,

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Speaker 1: like we're talking two thousand ten, two thousand nine. I

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Speaker 1: remember seeing billboards up about the birth certificates in rural

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Speaker 1: Georgia way back then. It's interesting, Oh, you're absolutely right, man, i'

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Speaker 1: I'm just again. It was definitely during his first term,

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Speaker 1: it was around oh eight, Um. Yeah. But so Trump

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Speaker 1: was the guy who kind of became this figurehead of

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Speaker 1: this birther notion that Barack Obama was not legit legitimate

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Speaker 1: president because of his place of birth, his origins were

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Speaker 1: not in this country. Um. He positive that Obama was

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Speaker 1: not in fact born in the United States and ultimately

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Speaker 1: compelling Barack Obama to release a birth certificate the show

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Speaker 1: that he was in fact born in Hawaii. But there's

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Speaker 1: a lot to being made of this birth idea, and

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Speaker 1: Trump gained a lot of prominence right because of that.

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Speaker 1: And at this point, it's it's interesting to explores policy

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Speaker 1: history because when you hear people running for almost any

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Speaker 1: political office, people will always talk about the record. Right,

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Speaker 1: most of the presidential candidates that you'll see in our

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Speaker 1: lifetimes have uh some sort of legislative experience, as you know,

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Speaker 1: a governor or a senator of some sort, or work

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Speaker 1: in Congress. However, um, Donald Trump is a little bit

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Speaker 1: different because he's basing his experience on the business world

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Speaker 1: rather than the world of civil service. And this has

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Speaker 1: led his opponents, both within and without the GOP too,

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Speaker 1: to say that he is not entirely trustworthy. They point

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Speaker 1: out that his positions have changed over time, specifically stuff

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Speaker 1: like abortion, gun control, healthcare, UM, and you can you

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Speaker 1: can see his policy issues. This is something I think

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Speaker 1: everybody should do. If you are going to vote and

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Speaker 1: you want to skip the bread and circuses of talking

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Speaker 1: points bandied about in what purports to be a policy

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Speaker 1: discussion called the debate, what you can do very simply

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Speaker 1: is you can go to a search engine and just

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Speaker 1: typing name and type in the policies, just the word policies,

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Speaker 1: and you'll get a fact sheet that has direct quotes

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Speaker 1: on record from either the Clinton campaign or the Trump

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Speaker 1: campaign saying what what they stand for and whether that

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Speaker 1: has changed over time, and a lot of times you'll

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Speaker 1: get to see if they've ever held in office, say

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Speaker 1: a congressional office. You can see exactly what they've voted

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Speaker 1: for in the past that they voted against. Um, it's much,

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Speaker 1: like you said, been much better than listening to all

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Speaker 1: the talk around a subject. So other opponents say it's

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Speaker 1: weird that he has been a large supporter of democratic

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Speaker 1: endeavors in the past in his recent history though, like

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Speaker 1: Noel said, when he was in the public eye and

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Speaker 1: when he decided to pursue the Republican nomination, a lot

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Speaker 1: of Republicans thought it was sort of a novelty and

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Speaker 1: there were so many candidates, and he shot to the front. Yeah,

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Speaker 1: I remember, do you guys remember when The Daily Show

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Speaker 1: first started covering it, back when John Stewart was still there.

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Speaker 1: I don't know if you guys the Daily Show at all?

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Speaker 1: Are you listening out there? But he was just a

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Speaker 1: It was taken as this big joke in every news

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Speaker 1: outlet that it was just, oh, we'll ignore him or

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Speaker 1: leave him alone. But everybody talked about ignoring it. Oh

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Speaker 1: it was for a while until it wasn't. Yeah, it's

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Speaker 1: and it is now the primary front runners. So the

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Speaker 1: odds are most people who vote on November eight are

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Speaker 1: going to vote for either him or his primary rival,

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Speaker 1: Hillary Clinton. At this point, we see that there there

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Speaker 1: are questions. I do think everybody should check out the

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Speaker 1: policies of whatever candidate you're going to vote for or against.

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Speaker 1: UH recent history, the big things he has are planning

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Speaker 1: to renegotiate trade deals. This is big on that aspect

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Speaker 1: of foreign policy, building a physical wall to separate Mexico

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Speaker 1: and the end thereby Central and South America from the

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Speaker 1: United it States. UH. The information on that has changed

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Speaker 1: or evolved as policy wonks like to say, bringing back

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Speaker 1: law and order to all of the land. I know

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Speaker 1: that's one of his big policy stances, right, A lot

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Speaker 1: of a lot of support from fraternal organization and police outfits.

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Speaker 1: But here's the thing. Both Donald Trump supporters and Donald

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Speaker 1: Trump opponents believe that there is more to the story,

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Speaker 1: that there is something the mainstream media doesn't want you

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Speaker 1: to know. And we'll hop right into that after a

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Speaker 1: quick sponsor break. Here's where it gets crazy. So there's

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Speaker 1: so many um conspiracy theories, fringe theories. Similar coworkers like

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Speaker 1: to call them, UH rumors, scuttle but allegations claims both

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Speaker 1: about Donald Trump, against him, for him, and in some

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Speaker 1: cases by the man himself. So we talked about this

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Speaker 1: previously in our political conspiracy episode. The biggest one out there,

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Speaker 1: the one that you have written to us the most about,

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Speaker 1: is the idea that Donald Trump is a false flag candidate,

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Speaker 1: because we talked about him running for office, but we

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Speaker 1: didn't say the entire story. If you missed our previous episode,

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Speaker 1: we do recommend you check it out. Probably needs an update.

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Speaker 1: Topical stuff always well. Uh. A few weeks before he

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Speaker 1: announces his candidacy, he has an off the record phone

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Speaker 1: call with former president Mr Bill Clinton. Mr Bill Clinton,

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Speaker 1: Mr Bill meant Juliet Clinton and uh, and so apparently,

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Speaker 1: you know, they both maintained that they forged to know,

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Speaker 1: conspiratorial alliance or whatever. But a lot of people now

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Speaker 1: think that Donald Trump was running without the intention to

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Speaker 1: become president, that he was running to secure a Clinton nomination,

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Speaker 1: And more and more people argue that that is the

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Speaker 1: case now based on recent stuff. It doesn't seem like

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Speaker 1: like it seems like he does want to be president, right,

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Speaker 1: it appears that he does. And if he doesn't want

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Speaker 1: to be president, he's certainly doing a good job of

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Speaker 1: acting like it. So he's a great actor if if

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Speaker 1: he is uh a false flag candidate, I would say

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Speaker 1: being on the phone like that with someone who is

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Speaker 1: your potential opponents spouse in that way, like right before,

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Speaker 1: you know, making a decision like that or going out

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Speaker 1: to to run a race like that, it seems a

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Speaker 1: little fishy. I no matter how you look at it,

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Speaker 1: I'll tell you, guys, you know, I picture the phone

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Speaker 1: called going a little something like this. Yeah, go for it, man.

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Speaker 1: You know you only live once, right, Yeah, it's gonna

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Speaker 1: be huge, huge, It's gonna be the best. That's campaign.

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Speaker 1: You remember, do you remember block Us does Circus City Circuit? Yes? Yes, huge, fantastic, unbelievable.

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Speaker 1: Thank you Bill, Bill, are you talking to Donald Trump again? Bill?

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Speaker 1: Get off the found out. I'm gonna let you go.

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Speaker 1: Thank you? All right, right, all right, Oh gosh, Well

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Speaker 1: we solve the case. Guys. I think I think it's fine.

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Speaker 1: I think they're just pals who hang around and allegedly

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Speaker 1: assault women. Sometimes it's called locker room talk. Okay. And

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Speaker 1: second of all, um, I have a theory just about

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Speaker 1: this whole rigamarole here. I think what is more likely

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Speaker 1: than Bill Clinton urged Donald Trump in a phone call

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Speaker 1: is that this is the only basis for this false

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Speaker 1: flag discussion. This is that's the primary basis. The other

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Speaker 1: the other thing people presented as evidence would be his

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Speaker 1: past associations with Clinton foundations. Yeah, there's a lot of

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Speaker 1: pictures of them. We're looking real cozy at a Trump's

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Speaker 1: wet or they're all you know, locking arms. You know,

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Speaker 1: it was like a family photo. But here's my thing.

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Speaker 1: I think what's more likely is that Trump, knowing how

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Speaker 1: much earned media he would get, how much you know,

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Speaker 1: free advertising for his brand he would get just by

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Speaker 1: launching this campaign, did it being relatively sure that he

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Speaker 1: was not going to get the nomination, that he was

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Speaker 1: just kind of going to bank on the book deals

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Speaker 1: and all of the renewed interest in the Trump brand

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Speaker 1: that he would get from being in the public eye

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Speaker 1: in this way, maybe get some sort of consulting job

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Speaker 1: or some cushy something or other to add to his

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Speaker 1: own television channel. Well that we'll talk about that a

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Speaker 1: little bit. But then there came a time where, oh, crap,

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Speaker 1: this is really happening. You know, I wasn't expecting this,

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Speaker 1: and the tide turned and now you know, home he's

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Speaker 1: got the nomination and he's got a role with it,

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Speaker 1: doesn't he. I feel like South Park's doing a great

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Speaker 1: job in the season where they're hitting that nail on

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Speaker 1: the head. That's true. And it's like, you know a

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Speaker 1: lot of people say, God, could he be could he

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Speaker 1: do anything else to torpedo his candidacy even more? It's

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Speaker 1: like he can say anything. He even said himself, I

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Speaker 1: could walk out into you know, on Fifth Avenue and

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Speaker 1: shoot someone dead and that's still get the votes that

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Speaker 1: it brings us to our second point, perhaps right right.

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Speaker 1: So in that case, then another another edge to that

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Speaker 1: theory would be the idea that originally he wasn't planning

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Speaker 1: to do this and then decided and then either went

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Speaker 1: rogue or said I have a chance, i'man to go

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Speaker 1: for it. And then you'll hear stuff. You'll you'll hear

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Speaker 1: people say or alleged that he actually does not want

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Speaker 1: to be president. Some of these sources I would discount

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Speaker 1: because one of them is, UH documentary and Michael Moore,

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Speaker 1: who obviously has has a bias. Uh have you heard

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Speaker 1: about his secret film he's been working on. It's about

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Speaker 1: to come out. What's it called? Michael Moore and Trump Lands? Yeah,

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Speaker 1: I heard about it. I think it did come out.

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Speaker 1: You know, he would be been working on it more

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Speaker 1: or less in secret, I think, based on a one

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Speaker 1: man show that he was going to do in Ohio

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Speaker 1: and say and uh, he did a last minute screening

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Speaker 1: of it at the i f C Center in New York,

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Speaker 1: I want to say yesterday. And now it's I think

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Speaker 1: playing in l A and it's going to be available

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Speaker 1: on iTunes um as a download before the election. I

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Speaker 1: wonder what the reviews are not not clear yet, um,

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Speaker 1: but you know, you know, I haven't seen a Michael

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Speaker 1: Moore film in quite a while. I was really a

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Speaker 1: pretty big fan of Bowling for Columbine, and I thought

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Speaker 1: Fahrenheon and eleven was a little divisive, but it was

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Speaker 1: it was interesting. He definitely has a perspective first that way,

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Speaker 1: and he certainly made documentaries entertaining, not not like as

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Speaker 1: a whole genre, but he definitely kind of spearheaded this

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Speaker 1: sort of comical yet topical and pretty deep deep diving

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Speaker 1: documentary style. Um. And I think I think it's interesting stuff.

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Speaker 1: So we'll have to see what that's all about. So

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Speaker 1: another thing that's a it's a good point here that

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Speaker 1: a lot of people forget. Yes, I know that if

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Speaker 1: you are more on the conservative side, it's very easy

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Speaker 1: to dismiss someone who's clearly as biased as Michael Moore. However,

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Speaker 1: he is not the only one alleging this. It's not

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Speaker 1: just the opponents. Uh. The former communications director of the

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Speaker 1: Make America Great Again Political Action Committee or pack Lady

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Speaker 1: named Stephanie Sigelski definitely a campaign insider. She also says

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Speaker 1: that Trump didn't want to be president. She didn't believe

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Speaker 1: he actually did. Now, you know, at this point, we're

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Speaker 1: seeing two people's opinions. But that's one of the conspiracy

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Speaker 1: theories about Donald Trump. Uh. There's the other issue, which

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Speaker 1: is the tax avoidance. Yeah, tax avoidance seems to be

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Speaker 1: a big deal that came up heavily in the first

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Speaker 1: debate and then it continued on throughout um because a

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Speaker 1: lot of the candida it's on both sides, during the

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Speaker 1: primaries did release their tax returns. And that's because this

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Speaker 1: is just kind of the thing you do as you

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Speaker 1: get closer and closer to the general election. It's referred

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Speaker 1: to as a tradition. Yes, since Richard Nixon, and I

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Speaker 1: believe that was around what was that seventy when Richard

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Speaker 1: Nixon was like trying to withhold his taxes, but like

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Speaker 1: they had to, they came out eventually over the course

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Speaker 1: of the years. And that's where you get that famous line,

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Speaker 1: I'm not a crook, but it's not a it's not

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Speaker 1: a law. Right. No, No, it's not a law. It's

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Speaker 1: just one of those tactics to show your own transparency.

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Speaker 1: And when you don't show of good faith, let's say, yeah, sure, absolutely,

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Speaker 1: but the the big deals that Trump has decidedly said, no,

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Speaker 1: I'm not going to do that. He's given a couple excuses.

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Speaker 1: The main one is that he's under audit, and as

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Speaker 1: soon as the audit is finished, then he will release

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Speaker 1: those tax returns. I believe. He also said something about

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Speaker 1: the Hillary Clinton email thing as a negotiation in the

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Speaker 1: first debate. The thing about that, though, is early on

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Speaker 1: in the nomination process, he said that if he were

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Speaker 1: to be nominated, he would follow that tradition and release

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Speaker 1: his taxes, and then he kind of backpedaled on that

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Speaker 1: and turned it into sort of a bargaining chip. And

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Speaker 1: the thing is, you know, the New York Times released

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Speaker 1: a portion of a tax return of his that showed

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Speaker 1: that he had in fact not paid taxes. I believe

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Speaker 1: it was around in eighteen years because of a reported

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Speaker 1: loss of close to a billion dollars. So yeah, according

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Speaker 1: to the New York Times and some records that they obtained,

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Speaker 1: he declared a nine dred and sixteen million net operating loss.

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Speaker 1: That's important, their net operating loss in his tax returns. Um.

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Speaker 1: And that led me like, probably, like you, what the

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Speaker 1: heck is a net operating loss. Well, it's it's where

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Speaker 1: the allowable tax deductions if you're a company are greater

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Speaker 1: than the taxable income the money that you had coming in. Uh.

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Speaker 1: And when that occurs, then you can actually offset the

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Speaker 1: amount of taxes you have to pay in the future

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Speaker 1: because of all of this money that you owe in

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Speaker 1: the past. So this is legal. This is completely legal

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Speaker 1: thing that happens. Um. I guess it's a loophole in

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Speaker 1: a way if you're manipulating how stuff is reported, or

428
00:27:29,040 --> 00:27:31,560
Speaker 1: if let's say your income is deferred for a couple

429
00:27:31,600 --> 00:27:36,080
Speaker 1: of years, so you have a larger loss in one year. Um.

430
00:27:36,119 --> 00:27:38,360
Speaker 1: But I have just a quick I know that sounds

431
00:27:38,440 --> 00:27:42,000
Speaker 1: like a bunch of blah blah blah financial talk. I

432
00:27:42,040 --> 00:27:44,000
Speaker 1: have a quick example, if you guys don't mind, just

433
00:27:44,040 --> 00:27:46,760
Speaker 1: so we can better understand it, take it away. Let's

434
00:27:46,760 --> 00:27:50,120
Speaker 1: say there are two taxpayers. One is Ben, the other

435
00:27:50,119 --> 00:27:54,200
Speaker 1: one is null. In year one, Ben loses one hundred

436
00:27:54,240 --> 00:27:57,080
Speaker 1: thousand dollars. What the hell, man, I hate this example.

437
00:27:57,200 --> 00:27:59,000
Speaker 1: What are you gonna do? Man? It's the housing crisis,

438
00:27:59,000 --> 00:28:02,800
Speaker 1: Come on in your to However, Ben makes two hundred

439
00:28:02,840 --> 00:28:06,679
Speaker 1: thousand dollars because of the housing crisis. See, the problem

440
00:28:06,800 --> 00:28:12,560
Speaker 1: can be the solution sometimes. Well, we don't have to

441
00:28:12,560 --> 00:28:14,840
Speaker 1: get into how you manipulated the housing market, but you

442
00:28:14,880 --> 00:28:18,200
Speaker 1: did a great job. Uh so, net of one hundred

443
00:28:18,280 --> 00:28:22,080
Speaker 1: thousand dollars. Now we also have Noel over here. He

444
00:28:22,160 --> 00:28:24,560
Speaker 1: makes fifty thousand dollars a year as the manager at

445
00:28:24,560 --> 00:28:29,320
Speaker 1: a combination circuit city Blockbuster. Um now, so that first

446
00:28:29,400 --> 00:28:32,119
Speaker 1: year fifty thou dollars. In year two, Noel makes that

447
00:28:32,160 --> 00:28:34,520
Speaker 1: same fifty thousand dollars due to a lack of upward

448
00:28:34,560 --> 00:28:38,760
Speaker 1: mobility at the combination circuit city Blockbuster. Um so, sorry,

449
00:28:38,800 --> 00:28:42,120
Speaker 1: but yeah, net one hundred thousand dollars also for Noel.

450
00:28:42,360 --> 00:28:45,680
Speaker 1: So right, two taxpayers, one hundred thousand dollars that you've

451
00:28:45,720 --> 00:28:48,400
Speaker 1: made in two years. So at the end of this

452
00:28:48,440 --> 00:28:50,720
Speaker 1: two year period, both Been and OAL have the same

453
00:28:50,960 --> 00:28:54,240
Speaker 1: net income of a hundred thousand dollars. However, without the

454
00:28:54,360 --> 00:28:58,640
Speaker 1: use of a net operating loss or this UH, this law,

455
00:28:58,760 --> 00:29:01,719
Speaker 1: this rule, Ben to have to pay an additional one

456
00:29:01,800 --> 00:29:06,440
Speaker 1: hundred thousand dollars more of income tax than null because

457
00:29:06,480 --> 00:29:10,360
Speaker 1: he made that two hundred thousand at once. Uh. The

458
00:29:10,480 --> 00:29:13,320
Speaker 1: loss prevention allows Ben to apply that negative one hundred

459
00:29:13,320 --> 00:29:16,360
Speaker 1: from the first year onto that second year. So it

460
00:29:16,440 --> 00:29:19,600
Speaker 1: just evens things out. So both of these taxpayers in

461
00:29:19,600 --> 00:29:23,200
Speaker 1: this example would be paying the same amount of tax. Okay,

462
00:29:23,240 --> 00:29:25,760
Speaker 1: I think I I I think I understand. So it

463
00:29:25,800 --> 00:29:28,160
Speaker 1: sounds like you're saying this kind of law exists for

464
00:29:28,200 --> 00:29:31,880
Speaker 1: a reason. Yeah, And and usually it's for big companies

465
00:29:32,200 --> 00:29:34,520
Speaker 1: are dealing with that because sometimes the company is gonna

466
00:29:34,520 --> 00:29:37,520
Speaker 1: have to take a loss, like a huge loss and

467
00:29:37,640 --> 00:29:47,560
Speaker 1: operating loss exactly. So all right, but still being completely objective. Uh.

468
00:29:47,720 --> 00:29:51,400
Speaker 1: While it is not a law to turn to make

469
00:29:51,440 --> 00:29:55,640
Speaker 1: your tax information public when running for US president, UH,

470
00:29:55,680 --> 00:29:58,000
Speaker 1: it is an expectation, which means it could have a

471
00:29:58,040 --> 00:30:02,280
Speaker 1: negative impact on the right. It's also not to say

472
00:30:02,320 --> 00:30:06,440
Speaker 1: that we haven't seen candidates who were wildly successful business

473
00:30:06,440 --> 00:30:09,240
Speaker 1: people Mitt Romney for example. That's a good point. Yeah,

474
00:30:09,400 --> 00:30:11,320
Speaker 1: And also one last thing with the taxes, it also

475
00:30:11,400 --> 00:30:15,880
Speaker 1: presents some other issues where there there have been allegations

476
00:30:15,960 --> 00:30:19,160
Speaker 1: of maybe foreign involvement, where what kind of business dealings

477
00:30:19,240 --> 00:30:23,600
Speaker 1: is Donald Trump have with foreign governments, Especially then when

478
00:30:23,680 --> 00:30:27,160
Speaker 1: you look at his foundation and you apply the same

479
00:30:27,200 --> 00:30:30,680
Speaker 1: thing to Hillary Clinton and the Clinton Foundation and muddy

480
00:30:30,760 --> 00:30:35,280
Speaker 1: the water start getting muddy, right, especially with State Department activities.

481
00:30:36,040 --> 00:30:39,719
Speaker 1: What's interesting to me though about this particular aspect is

482
00:30:40,120 --> 00:30:45,760
Speaker 1: that even though the Times released these pages showing you

483
00:30:45,800 --> 00:30:49,360
Speaker 1: know that you paid zero attacks because of this giant loss,

484
00:30:50,400 --> 00:30:53,920
Speaker 1: whatever is actually in the tax returns to all of

485
00:30:53,960 --> 00:30:58,200
Speaker 1: them must be worse than that. Otherwise, why wouldn't they

486
00:30:58,200 --> 00:31:01,000
Speaker 1: have released them to show that this was this was

487
00:31:01,160 --> 00:31:04,520
Speaker 1: all there was. Yeah, that's an interesting that's an interesting

488
00:31:04,600 --> 00:31:10,000
Speaker 1: question to um. We we do know that a lot

489
00:31:10,080 --> 00:31:14,480
Speaker 1: of this is based on public perception, and currently as

490
00:31:14,520 --> 00:31:19,760
Speaker 1: we record this, you know, I have to say, listeners,

491
00:31:20,240 --> 00:31:22,959
Speaker 1: it's it's difficult for us to parse some of this

492
00:31:23,120 --> 00:31:27,800
Speaker 1: because things will change so quickly. We are a few

493
00:31:27,880 --> 00:31:31,400
Speaker 1: days away from the future of this country for the

494
00:31:31,440 --> 00:31:34,240
Speaker 1: next four years. I will also go ahead and point

495
00:31:34,280 --> 00:31:37,880
Speaker 1: out that the power of the presidency is much less

496
00:31:37,880 --> 00:31:41,960
Speaker 1: than most Americans imagine. Uh that if you want to

497
00:31:42,200 --> 00:31:45,160
Speaker 1: affect change that you would like to see, you have

498
00:31:45,320 --> 00:31:49,560
Speaker 1: to act at a local level with state representatives, with communities.

499
00:31:49,960 --> 00:31:53,920
Speaker 1: They are going to be welding wielding a lot of power.

500
00:31:54,320 --> 00:31:58,120
Speaker 1: But yeah, but the presidency is good, like clearly important,

501
00:31:58,920 --> 00:32:02,960
Speaker 1: and that's why people are scrutinizing this stuff. That's why

502
00:32:03,240 --> 00:32:06,800
Speaker 1: I don't have the same level of expectation of privacy

503
00:32:06,840 --> 00:32:10,200
Speaker 1: as you would if you were just a private citizen. Right,

504
00:32:10,880 --> 00:32:15,520
Speaker 1: if you're the president of a bank, you have more

505
00:32:15,520 --> 00:32:18,280
Speaker 1: privacy than you do if you're president of the US.

506
00:32:18,560 --> 00:32:21,160
Speaker 1: That's just the way the world a little bit. And yet,

507
00:32:21,240 --> 00:32:24,920
Speaker 1: strangely Trump doesn't seem to understand that concept, which I

508
00:32:24,960 --> 00:32:29,080
Speaker 1: think is fascinating because he's been an entertainer quote unquote,

509
00:32:29,320 --> 00:32:32,080
Speaker 1: you know for a long time, made a lot of money, um,

510
00:32:32,120 --> 00:32:36,000
Speaker 1: hosting The Apprentice, which is ultimately a reality show kind

511
00:32:36,040 --> 00:32:40,240
Speaker 1: of game show. I don't know, hybrid, I guess and um.

512
00:32:40,280 --> 00:32:43,440
Speaker 1: But yet you know, when people start revealing things are

513
00:32:43,440 --> 00:32:47,080
Speaker 1: digging into his personal business as he's running for office,

514
00:32:47,600 --> 00:32:50,720
Speaker 1: he seems shocked, and it's sort of like why why me?

515
00:32:50,880 --> 00:32:52,600
Speaker 1: You know, why why are you being mean to me?

516
00:32:52,760 --> 00:32:55,760
Speaker 1: Why are people saying these mean things about me? It's

517
00:32:55,760 --> 00:32:59,120
Speaker 1: as though he didn't understand after years and years in

518
00:32:59,160 --> 00:33:02,320
Speaker 1: the public eye that running for office would would do,

519
00:33:02,360 --> 00:33:05,480
Speaker 1: that will create the kind of situation and elections are

520
00:33:05,720 --> 00:33:08,840
Speaker 1: the home of dirty tricks. And it's also as though

521
00:33:09,920 --> 00:33:16,560
Speaker 1: his camp spent zero time vetting him themselves. That is

522
00:33:16,600 --> 00:33:19,280
Speaker 1: a thing that you do, right if you're running for office.

523
00:33:19,440 --> 00:33:22,719
Speaker 1: You want to know everything that your opponent could theoretically

524
00:33:22,920 --> 00:33:26,280
Speaker 1: dig up on you yourself before they dig it up,

525
00:33:26,920 --> 00:33:30,080
Speaker 1: like in the House of Cards or other political thrillers,

526
00:33:30,080 --> 00:33:34,640
Speaker 1: where people practice how they will respond to hypothetical situations

527
00:33:34,760 --> 00:33:37,000
Speaker 1: or to what they already know will be controversial points.

528
00:33:37,080 --> 00:33:39,400
Speaker 1: And An almost feels with Trump every time something has

529
00:33:39,440 --> 00:33:42,000
Speaker 1: come to light a lot of times, even something like

530
00:33:42,040 --> 00:33:45,600
Speaker 1: from a Howard Stern interview that's totally out there for

531
00:33:45,640 --> 00:33:49,000
Speaker 1: anyone to grab, you know, it's almost as though he's

532
00:33:49,040 --> 00:33:51,960
Speaker 1: surprised that people have found these things. I mean, you

533
00:33:52,000 --> 00:33:55,920
Speaker 1: know again, I just think it's interesting. It sort of

534
00:33:55,960 --> 00:33:58,920
Speaker 1: shows maybe a lack of organization or a lack of

535
00:33:59,000 --> 00:34:03,720
Speaker 1: forethought in the way this campaign was launched. And to

536
00:34:03,840 --> 00:34:06,960
Speaker 1: me calls into question how far he really thought initially

537
00:34:07,000 --> 00:34:09,200
Speaker 1: that he was going to go. It's interesting yet, like

538
00:34:09,280 --> 00:34:11,960
Speaker 1: did he did again? It goes back to motivation, and

539
00:34:12,000 --> 00:34:16,279
Speaker 1: motivation is so difficult to discern. Uh, did he genuinely

540
00:34:17,040 --> 00:34:18,960
Speaker 1: expect to get this far? I guess there's a question

541
00:34:19,000 --> 00:34:21,799
Speaker 1: A lot of people are asking, So what while we're

542
00:34:21,800 --> 00:34:26,319
Speaker 1: on the money, what, what's another conspiracy theory about him? Well,

543
00:34:26,360 --> 00:34:29,920
Speaker 1: there's one that is, I guess a little less of

544
00:34:30,000 --> 00:34:34,840
Speaker 1: a conspiracy theory, bore of a conspiracy fact in a way. Uh,

545
00:34:34,920 --> 00:34:39,040
Speaker 1: And that's that Donald Trump was using charity money money

546
00:34:39,080 --> 00:34:42,760
Speaker 1: from the Trump Foundation for his own purposes and also

547
00:34:42,840 --> 00:34:45,719
Speaker 1: to fund his his campaign at least early on in

548
00:34:45,760 --> 00:34:50,080
Speaker 1: the campaign. Um even to the point where the New

549
00:34:50,160 --> 00:34:54,680
Speaker 1: York Attorney General Eric T. Schneiderman UH sent a notice

550
00:34:54,719 --> 00:34:58,799
Speaker 1: of violation to the Trump Foundation on the thirty September,

551
00:34:59,560 --> 00:35:03,120
Speaker 1: which was requiring the foundation to submit financial documents within

552
00:35:03,200 --> 00:35:06,919
Speaker 1: fifteen days or quote be deemed to be a continuing

553
00:35:06,960 --> 00:35:09,399
Speaker 1: fraud upon the people of the State of New York

554
00:35:09,480 --> 00:35:13,839
Speaker 1: and leading up to them producing the said documents, they

555
00:35:13,840 --> 00:35:17,920
Speaker 1: were ordered to cease and desist all activities all fundraising

556
00:35:18,000 --> 00:35:22,680
Speaker 1: in New York State. Yes, exactly, So, yeah, this is

557
00:35:22,840 --> 00:35:26,320
Speaker 1: this is interesting too. And the candidate has not really

558
00:35:26,840 --> 00:35:30,800
Speaker 1: made any secret of using the system as a business

559
00:35:30,840 --> 00:35:35,000
Speaker 1: person to the maximize his profits or or maximize his

560
00:35:35,040 --> 00:35:37,440
Speaker 1: position or advantage. As a matter of fact, that was

561
00:35:37,520 --> 00:35:43,520
Speaker 1: one of the central tenants he proposed for his ability

562
00:35:43,600 --> 00:35:46,319
Speaker 1: to fix the system. Well, it is that I know

563
00:35:46,400 --> 00:35:49,880
Speaker 1: how the system works, therefore I am the most qualified

564
00:35:49,880 --> 00:35:53,359
Speaker 1: to fix it. Which reminds me of our earlier conversation

565
00:35:53,440 --> 00:35:57,319
Speaker 1: about the UM who is on the Federal Reserve Board. Right.

566
00:35:57,760 --> 00:36:03,080
Speaker 1: Often these are people with extensive banking experience. So are

567
00:36:03,160 --> 00:36:07,000
Speaker 1: they the best or the worst people to fix a system?

568
00:36:07,080 --> 00:36:08,880
Speaker 1: It's a lot. I mean, we also see with people

569
00:36:08,920 --> 00:36:12,920
Speaker 1: that have worked for big oil companies or the nuclear industry,

570
00:36:13,440 --> 00:36:17,840
Speaker 1: UM getting jobs on the Nuclear Regulatory Commission or the

571
00:36:17,880 --> 00:36:23,040
Speaker 1: e p A or the FCC and UH conglomerations for

572
00:36:23,239 --> 00:36:26,279
Speaker 1: cable or I s P. Right, So this is great,

573
00:36:26,320 --> 00:36:31,320
Speaker 1: that's a great point. Something that we can establish clearly

574
00:36:31,480 --> 00:36:36,600
Speaker 1: that may surprise the average the average person is that

575
00:36:36,640 --> 00:36:40,200
Speaker 1: a lot of this is similar to wrestling. Okay, and

576
00:36:40,280 --> 00:36:45,440
Speaker 1: spoiler alert, wrestling is not Wrestling is often fake, at

577
00:36:45,480 --> 00:36:50,160
Speaker 1: least the storylines it is definitely. They are definitely doing

578
00:36:50,200 --> 00:36:52,600
Speaker 1: real moves up there. But a lot of these people

579
00:36:52,600 --> 00:36:55,400
Speaker 1: were friends behind the scenes, and so a lot of

580
00:36:55,440 --> 00:36:59,400
Speaker 1: the politicians who will spout vitriol at one another for

581
00:36:59,520 --> 00:37:05,920
Speaker 1: the public blicks, the guilements, amusements. You know, they're gonna

582
00:37:05,960 --> 00:37:08,080
Speaker 1: they're just gonna send their kids to the same schools,

583
00:37:08,520 --> 00:37:11,520
Speaker 1: They're gonna be at the same high faluting meetings, they're

584
00:37:11,520 --> 00:37:14,560
Speaker 1: gonna play golf together, and they're gonna be like, wow, man,

585
00:37:14,640 --> 00:37:16,759
Speaker 1: you really really try to rip me a new one

586
00:37:16,760 --> 00:37:19,399
Speaker 1: on that one. And they'll be like, still coming over

587
00:37:19,440 --> 00:37:23,480
Speaker 1: for a billiards. Let's not forget that. You know, Barack

588
00:37:23,520 --> 00:37:27,440
Speaker 1: Obama and Hillary Clinton were once bitter rivals exactly, you know,

589
00:37:27,560 --> 00:37:31,440
Speaker 1: just spouting all kinds of vitriol about each other's records

590
00:37:31,480 --> 00:37:34,600
Speaker 1: and and just you know, calling into question each other's

591
00:37:34,719 --> 00:37:37,799
Speaker 1: character and very very public forums. Actually saw a video

592
00:37:37,960 --> 00:37:41,239
Speaker 1: yesterday that a bead you know, Barack Obama on the

593
00:37:41,280 --> 00:37:44,719
Speaker 1: campaign trail where he was talking about all the same

594
00:37:44,760 --> 00:37:47,600
Speaker 1: things that Trump says about Hillary now, about how she's

595
00:37:47,600 --> 00:37:50,400
Speaker 1: in the pocket of big business and big pharma and

596
00:37:50,480 --> 00:37:53,080
Speaker 1: Wall Street and just you know, laundry listing all of

597
00:37:53,120 --> 00:37:56,520
Speaker 1: these problems with her character and then cutting to now

598
00:37:56,560 --> 00:37:58,200
Speaker 1: where he's basically saying, I don't want to pass the

599
00:37:58,239 --> 00:38:01,520
Speaker 1: baton to Hillary as she's gonna run with it and

600
00:38:01,719 --> 00:38:03,880
Speaker 1: do a fabulous job. And you have to wonder what

601
00:38:03,960 --> 00:38:07,359
Speaker 1: kind of back room negotiation those two had, their camps had, right,

602
00:38:08,239 --> 00:38:12,200
Speaker 1: or their interests had with them together in a room.

603
00:38:12,200 --> 00:38:16,040
Speaker 1: And let's not let listeners forget that. We are going

604
00:38:16,120 --> 00:38:21,680
Speaker 1: to get way deep as well. It's gonna get ugly

605
00:38:22,040 --> 00:38:23,680
Speaker 1: in the coming week. So I just don't want anybody

606
00:38:23,680 --> 00:38:27,520
Speaker 1: to think that we're just picking on you know, Trump. No,

607
00:38:27,760 --> 00:38:31,040
Speaker 1: we're we need to say about both. We're universally looking

608
00:38:31,120 --> 00:38:35,480
Speaker 1: at uh, two of the most controversial presidential candidates in

609
00:38:35,640 --> 00:38:38,960
Speaker 1: recent history. Uh and in a time where you know,

610
00:38:39,120 --> 00:38:43,279
Speaker 1: there's so many things that are considered more popular than

611
00:38:43,640 --> 00:38:46,560
Speaker 1: just Congress to the presidency, and they're like bad things.

612
00:38:46,560 --> 00:38:48,560
Speaker 1: Have you ever checked out that list? I'm gonna pull

613
00:38:48,640 --> 00:38:53,839
Speaker 1: up that list. Yeah, hilarious. Oh, all right, here we go.

614
00:38:54,200 --> 00:38:56,960
Speaker 1: There's uh, just a few things that are more popular

615
00:38:57,160 --> 00:39:01,680
Speaker 1: than uh Congress. Just for example, thirty nine percent of

616
00:39:01,719 --> 00:39:09,400
Speaker 1: people surveyed preferred nickelback to Congress because Congress got the

617
00:39:09,480 --> 00:39:12,160
Speaker 1: vote and people hate Nickelback, I mean like a lot.

618
00:39:12,520 --> 00:39:15,600
Speaker 1: Fifty six percent of Americans have a more favorable opinion

619
00:39:15,680 --> 00:39:21,440
Speaker 1: of traffic jams than Congress. Let's see the NFL replacements lice.

620
00:39:22,880 --> 00:39:27,160
Speaker 1: UH of Americans have a more favorable opinion of Donald

621
00:39:27,200 --> 00:39:31,200
Speaker 1: Trump than Congress. Uh. People like France more than Congress.

622
00:39:31,520 --> 00:39:37,800
Speaker 1: People like cockroaches more than Congress. And this this list goes,

623
00:39:38,160 --> 00:39:41,200
Speaker 1: this list goes on. Brussels sprouts also made the cut.

624
00:39:42,440 --> 00:39:45,160
Speaker 1: And this one. I thought you would like no Carneys.

625
00:39:47,239 --> 00:39:50,240
Speaker 1: People are like, you know what, I might not trust Carneys,

626
00:39:51,080 --> 00:39:53,960
Speaker 1: but I trust them more than I trust Congress. It's

627
00:39:54,000 --> 00:39:59,120
Speaker 1: weird because you can't really elect Carneys anyhow. We're we're

628
00:39:59,160 --> 00:40:04,440
Speaker 1: reading this out just the show that they're they're massive,

629
00:40:04,920 --> 00:40:10,560
Speaker 1: massively unfavorable views, not just of the individual candidates in

630
00:40:10,560 --> 00:40:14,920
Speaker 1: the current race for the presidency, but of the way

631
00:40:15,040 --> 00:40:19,720
Speaker 1: the government is working in general, like your local representatives.

632
00:40:20,480 --> 00:40:24,120
Speaker 1: And now we're approaching an historic moment because there's something

633
00:40:24,360 --> 00:40:30,040
Speaker 1: there's been some very interesting speculation from various media outlets

634
00:40:30,040 --> 00:40:33,399
Speaker 1: like The Boston Globe, Box in New York Times that

635
00:40:34,280 --> 00:40:38,600
Speaker 1: we may run into a very very strange situation when

636
00:40:39,880 --> 00:40:44,480
Speaker 1: the election actually happens yeah, well, what if whichever candidate

637
00:40:44,560 --> 00:40:48,600
Speaker 1: loses just decides not to concede. Specifically, we're gonna say

638
00:40:48,640 --> 00:40:53,000
Speaker 1: Donald Trump here because he doesn't believe that the results

639
00:40:53,200 --> 00:40:56,320
Speaker 1: are accurate or correct or if they have been rigged

640
00:40:56,440 --> 00:40:59,480
Speaker 1: in some way. Well, but but here's the thing. They

641
00:40:59,560 --> 00:41:03,799
Speaker 1: these organizations are kind are there really are speculating with

642
00:41:03,880 --> 00:41:06,920
Speaker 1: this because Donald Trump has never come out and fully

643
00:41:06,960 --> 00:41:11,400
Speaker 1: stated that he he won't concede if he loses. He

644
00:41:11,480 --> 00:41:14,640
Speaker 1: has made some statements that are you know, you could

645
00:41:14,719 --> 00:41:18,319
Speaker 1: take maybe in that context, but he's never said it.

646
00:41:18,440 --> 00:41:20,520
Speaker 1: There's a there's a quote here from the New York Times.

647
00:41:21,360 --> 00:41:25,399
Speaker 1: Um says Mr Trump, aiming to unnerve ms. Clinton even

648
00:41:25,440 --> 00:41:28,359
Speaker 1: indicated that he was rethinking his statement at their first

649
00:41:28,400 --> 00:41:31,520
Speaker 1: debate that he would absolutely support her if she won

650
00:41:31,560 --> 00:41:35,200
Speaker 1: in November, saying, quote, we're gonna have to see. We're

651
00:41:35,200 --> 00:41:37,720
Speaker 1: gonna have to see what happens. We're gonna have to see.

652
00:41:39,080 --> 00:41:41,759
Speaker 1: So I mean that right there, that quote is it

653
00:41:41,800 --> 00:41:44,799
Speaker 1: doesn't mean anything, right, just saying we're going to have

654
00:41:44,840 --> 00:41:47,480
Speaker 1: to see what happens over and over. Sure that wasn't

655
00:41:47,480 --> 00:41:50,560
Speaker 1: a quote from the movie Taxi Driver. But did that

656
00:41:50,560 --> 00:41:57,799
Speaker 1: sound like DeNiro? I don't know. I'm sorry if something

657
00:41:57,880 --> 00:42:00,920
Speaker 1: happened to it. We also know we have to consider

658
00:42:01,000 --> 00:42:05,359
Speaker 1: that if you're running for president, uh, when it's now

659
00:42:05,400 --> 00:42:08,040
Speaker 1: it's like down to the wire, you don't want to

660
00:42:08,080 --> 00:42:11,399
Speaker 1: put something out in the eco system of ideas that

661
00:42:11,760 --> 00:42:15,000
Speaker 1: acknowledges there's a possibility that you would lose. Right, it's

662
00:42:15,160 --> 00:42:17,000
Speaker 1: not a good position. I don't know why I got

663
00:42:17,000 --> 00:42:20,080
Speaker 1: a little Italian that it's position. I would just say

664
00:42:20,080 --> 00:42:23,120
Speaker 1: that we have seen this in our lifetimes where a

665
00:42:23,680 --> 00:42:28,120
Speaker 1: candidate decided not to concede immediately, do you guys. You

666
00:42:28,120 --> 00:42:30,839
Speaker 1: guys probably remember the Bush George W. Bush and al

667
00:42:30,920 --> 00:42:34,000
Speaker 1: Gore in two thousand with the hanging Chad's and everything

668
00:42:34,000 --> 00:42:36,640
Speaker 1: in Florida and all all that stuff, where it was

669
00:42:36,719 --> 00:42:41,200
Speaker 1: so close, neither candidate would concede. So it continued and

670
00:42:41,239 --> 00:42:43,359
Speaker 1: continued and continued along till you got to the other

671
00:42:43,440 --> 00:42:46,759
Speaker 1: processes where it went to the Supreme Court, it went

672
00:42:46,800 --> 00:42:50,239
Speaker 1: to the House of Representatives. So it's just, you know,

673
00:42:50,480 --> 00:42:54,719
Speaker 1: we have another potential situation like that here, um, and

674
00:42:54,800 --> 00:42:57,839
Speaker 1: if one candidate just decides not to concede, then who

675
00:42:57,880 --> 00:43:00,839
Speaker 1: knows what happens. We'll we'll find out, right, We'll see,

676
00:43:02,160 --> 00:43:04,560
Speaker 1: we'll have to see it now. It's also time, while

677
00:43:04,560 --> 00:43:07,279
Speaker 1: we're waiting on the results there, to move on to

678
00:43:07,600 --> 00:43:12,160
Speaker 1: theories espoused by Donald Trump. But first a word from

679
00:43:12,160 --> 00:43:21,239
Speaker 1: our sponsor, and we're back and it's time to explore

680
00:43:21,680 --> 00:43:24,240
Speaker 1: I think in detail the stuff we alluded to earlier,

681
00:43:24,560 --> 00:43:29,120
Speaker 1: the birther movement. So the concept is essentially like you

682
00:43:29,160 --> 00:43:34,520
Speaker 1: said that President Barack Obama was born not in Hawaii

683
00:43:34,880 --> 00:43:39,600
Speaker 1: but in Kenya and was a secret Muslim. Uh. There

684
00:43:39,600 --> 00:43:45,280
Speaker 1: are statements regarding that where they were presented. Someone is hearsay.

685
00:43:45,719 --> 00:43:48,839
Speaker 1: Donald Trump, in an earlier debate, had said that he

686
00:43:48,960 --> 00:43:52,560
Speaker 1: considered it a victory because he asked, he wanted to

687
00:43:52,600 --> 00:43:56,480
Speaker 1: see this birth certificate, and he did get the birth certificate,

688
00:43:56,640 --> 00:43:59,960
Speaker 1: so he considers it. Uh, good move, the right thing

689
00:44:00,120 --> 00:44:02,680
Speaker 1: to do. Um. But that birth certificate, it wasn't the

690
00:44:02,760 --> 00:44:07,400
Speaker 1: long form, was it. Guy. Uh. I'll read a quote

691
00:44:07,640 --> 00:44:11,040
Speaker 1: that he told radio host Laura Ingram in two thousand eleven.

692
00:44:11,480 --> 00:44:13,760
Speaker 1: He said, he kind of give a birth certificate referring

693
00:44:13,800 --> 00:44:16,799
Speaker 1: to a Barack Obama. He doesn't have a birth certificate,

694
00:44:16,880 --> 00:44:19,000
Speaker 1: or if he does, there's something on that certificate that's

695
00:44:19,120 --> 00:44:21,000
Speaker 1: very bad for him. Now, someone told me and I

696
00:44:21,040 --> 00:44:23,359
Speaker 1: have no idea whether this is bad for him or not.

697
00:44:23,600 --> 00:44:25,920
Speaker 1: But perhaps it would be that where it says religion,

698
00:44:25,960 --> 00:44:27,840
Speaker 1: it might have Muslim, and if you're a Muslim, you

699
00:44:27,840 --> 00:44:30,160
Speaker 1: don't change your religion, by the way. But somebody said

700
00:44:30,200 --> 00:44:32,080
Speaker 1: maybe that's the reason he doesn't want to show it.

701
00:44:32,400 --> 00:44:34,600
Speaker 1: I don't think so. I just don't think he has

702
00:44:34,600 --> 00:44:38,160
Speaker 1: a birth certificate, and everybody has a birth certificate. So

703
00:44:38,880 --> 00:44:42,920
Speaker 1: this what he's what he's doing here is he he

704
00:44:43,000 --> 00:44:45,880
Speaker 1: did acknowledge that people had the secret Muslim thing, but

705
00:44:45,960 --> 00:44:49,080
Speaker 1: he said he doesn't personally believe in that, but he

706
00:44:49,239 --> 00:44:54,600
Speaker 1: is he is suggesting. He's not outright saying he's he's

707
00:44:54,640 --> 00:44:58,640
Speaker 1: suggesting that there's something there and he wants to have proof.

708
00:44:59,040 --> 00:45:02,520
Speaker 1: So this is, as an old pointed out, one of

709
00:45:02,560 --> 00:45:05,840
Speaker 1: the things that really launched him, um because he was

710
00:45:05,960 --> 00:45:09,319
Speaker 1: known and and lauded as a businessman before, but was

711
00:45:09,360 --> 00:45:13,440
Speaker 1: always a controversial figure. Right. People thought he was larger

712
00:45:13,480 --> 00:45:16,000
Speaker 1: than life, people in other countries saw him as a

713
00:45:16,080 --> 00:45:22,839
Speaker 1: stereotype of America, you know. Uh so he had at

714
00:45:22,880 --> 00:45:26,640
Speaker 1: different times he had gone on Twitter famously and said

715
00:45:26,680 --> 00:45:30,839
Speaker 1: stuff like, um, poles are starting to look really bad

716
00:45:30,920 --> 00:45:33,400
Speaker 1: for Obama. Looks like left to start a war, major

717
00:45:33,440 --> 00:45:35,920
Speaker 1: conflict to win. Don't put it past him. Kind of

718
00:45:36,080 --> 00:45:41,040
Speaker 1: a wag the dog situation and the the idea about

719
00:45:41,080 --> 00:45:45,080
Speaker 1: the birthard movement has followed him to the current election.

720
00:45:45,200 --> 00:45:49,239
Speaker 1: But it seems like when he said, well, this is

721
00:45:49,280 --> 00:45:51,719
Speaker 1: what I did. I asked for the birth certificate and

722
00:45:51,800 --> 00:45:54,600
Speaker 1: received it, it seems like they have quelled that or

723
00:45:54,840 --> 00:45:57,960
Speaker 1: moved on to another controversy because things are popping up

724
00:45:58,360 --> 00:46:01,200
Speaker 1: left and right. Maybe it's poor choice of words, or

725
00:46:01,200 --> 00:46:04,439
Speaker 1: maybe it's apt, but there are just so many controversies

726
00:46:04,480 --> 00:46:08,440
Speaker 1: it's difficult to keep track of. Uh. He also alleges

727
00:46:08,680 --> 00:46:14,520
Speaker 1: that former Supreme Court Justice Scalia was murdered. Uh. And

728
00:46:15,600 --> 00:46:19,920
Speaker 1: when when I say alleges, he's just raising suspicions. And

729
00:46:19,960 --> 00:46:22,040
Speaker 1: this is something that a lot of people thought about.

730
00:46:22,120 --> 00:46:24,880
Speaker 1: You know, you guys, we we all talked about this

731
00:46:24,960 --> 00:46:30,360
Speaker 1: off air when Scalia passed away. So yeah, anytime the

732
00:46:30,400 --> 00:46:35,040
Speaker 1: circumstances surrounding a death of a highly important person like

733
00:46:35,200 --> 00:46:39,240
Speaker 1: Justice Scalia, Uh, when the circumstances are a bit strange,

734
00:46:39,360 --> 00:46:42,840
Speaker 1: even just kind of off being at a private hunting

735
00:46:43,600 --> 00:46:46,399
Speaker 1: what is it, a private hunting club in the middle

736
00:46:46,440 --> 00:46:49,640
Speaker 1: of nowhere, I mean, it's just it raises questions, and

737
00:46:49,680 --> 00:46:51,520
Speaker 1: that's the kind of thing that Donald Trump is doing.

738
00:46:51,680 --> 00:46:54,600
Speaker 1: I think in general, listen, man, when you have when

739
00:46:54,600 --> 00:46:58,640
Speaker 1: you go, when you hunt people on your private island,

740
00:46:58,880 --> 00:47:03,040
Speaker 1: you know someone's gonna get hurt. Yeah, just usually it's

741
00:47:03,160 --> 00:47:06,680
Speaker 1: the people that you've I was, I was gonna say,

742
00:47:06,680 --> 00:47:12,279
Speaker 1: captured the poor people. Uh yeah, iced tea yea from

743
00:47:12,280 --> 00:47:17,319
Speaker 1: surviving the game or I mean, I think as long

744
00:47:17,400 --> 00:47:20,879
Speaker 1: as you are hunting for sustenance, you know, if you're

745
00:47:20,960 --> 00:47:23,680
Speaker 1: hunting for trophies, that's weird, you know, but hunt if

746
00:47:23,719 --> 00:47:26,319
Speaker 1: you if you eat what you're hunting. Oh boy, we

747
00:47:26,360 --> 00:47:29,520
Speaker 1: already did a canibalism episode this gentleman. I'm kidding and

748
00:47:29,520 --> 00:47:32,440
Speaker 1: have never knowingly consumed human flesh. But if you want

749
00:47:32,480 --> 00:47:37,600
Speaker 1: to hear Donald Trump's thoughts about anton Scalia, you can

750
00:47:37,640 --> 00:47:40,960
Speaker 1: go to I Think is It Mike Savages show that

751
00:47:41,040 --> 00:47:42,880
Speaker 1: he went on and he talked about this stuff. So

752
00:47:43,000 --> 00:47:46,240
Speaker 1: I think he may have also either mentioned or appeared

753
00:47:46,239 --> 00:47:52,080
Speaker 1: on Alex Jones Info Wars. So here's the big one

754
00:47:52,360 --> 00:47:54,200
Speaker 1: that he said several times. They got a lot of

755
00:47:54,239 --> 00:47:56,160
Speaker 1: public attention, and I like to hear what you guys

756
00:47:56,320 --> 00:48:00,360
Speaker 1: think about this. Saying that the election is rigged. Remember

757
00:48:00,360 --> 00:48:04,959
Speaker 1: how we mentioned party officials in the GOP not being

758
00:48:05,000 --> 00:48:09,680
Speaker 1: on board with the Trump presidency and in many cases

759
00:48:09,680 --> 00:48:15,480
Speaker 1: going against the wishes of the Republican voting population. They

760
00:48:15,480 --> 00:48:19,240
Speaker 1: were livid when they heard about this. So state level

761
00:48:19,400 --> 00:48:23,080
Speaker 1: secretaries in the Republican Party would say things like, well,

762
00:48:24,000 --> 00:48:28,000
Speaker 1: just give us proof that you're saying this is rigged.

763
00:48:28,200 --> 00:48:30,760
Speaker 1: Give us proof, let us know how we can improve

764
00:48:30,840 --> 00:48:34,640
Speaker 1: the system instead of coming out and making allegations. Uh.

765
00:48:36,120 --> 00:48:40,479
Speaker 1: He also said that there could be voter fraud occurring, right, Yes,

766
00:48:40,560 --> 00:48:45,200
Speaker 1: he said that the Clinton campaign is planning massive voter

767
00:48:45,280 --> 00:48:49,320
Speaker 1: fraud in quote certain areas. Um. And he's also calling

768
00:48:49,320 --> 00:48:52,600
Speaker 1: on his supporters in a lot of yeah, these areas

769
00:48:52,640 --> 00:48:55,400
Speaker 1: to kind of function as vigilantes in a way, like

770
00:48:55,520 --> 00:48:59,320
Speaker 1: monitor the election at polling places, which is illegal depending

771
00:48:59,320 --> 00:49:01,600
Speaker 1: on how they go. Yeah, and I mean this is

772
00:49:01,600 --> 00:49:04,080
Speaker 1: a This is another thing about this candidate is his

773
00:49:04,200 --> 00:49:06,520
Speaker 1: A lot of his language is very divisive in that

774
00:49:06,560 --> 00:49:09,200
Speaker 1: way where he can kind of backtrack and say, well,

775
00:49:09,200 --> 00:49:12,600
Speaker 1: I didn't exactly say that. I said, you know, keep

776
00:49:12,640 --> 00:49:15,279
Speaker 1: an eye out, but I didn't say go to the

777
00:49:15,320 --> 00:49:18,400
Speaker 1: polling places. You know. It's very you know, if it

778
00:49:18,440 --> 00:49:21,920
Speaker 1: can be interpreted as marching orders for his followers. But

779
00:49:22,000 --> 00:49:24,120
Speaker 1: then you can kind of go back and say, well,

780
00:49:24,480 --> 00:49:27,000
Speaker 1: now I didn't exactly say that thing. It's up to

781
00:49:27,040 --> 00:49:29,640
Speaker 1: them how just they choose to interpret the things that

782
00:49:29,719 --> 00:49:34,280
Speaker 1: I say, you know. Um, so that's something that's pretty

783
00:49:34,440 --> 00:49:37,600
Speaker 1: unique about this particular candidate that we haven't really seen

784
00:49:37,960 --> 00:49:40,840
Speaker 1: another presidential candidate. That's true. And not to make this

785
00:49:40,920 --> 00:49:46,600
Speaker 1: too much about the second Clinton campaign, but he did

786
00:49:46,719 --> 00:49:50,800
Speaker 1: raise he did raise, uh, pretty pretty valid points about

787
00:49:50,800 --> 00:49:55,040
Speaker 1: corruption in the d n C with the handling of

788
00:49:55,520 --> 00:49:59,960
Speaker 1: the Bernie Sanders versus Clinton divide amongst the left leaning vote,

789
00:50:00,640 --> 00:50:04,520
Speaker 1: and uh, the role of Debbie Wasserman Schultz, which did

790
00:50:04,520 --> 00:50:07,240
Speaker 1: we discuss this in an earlier podcast we sleep saving

791
00:50:07,280 --> 00:50:09,920
Speaker 1: it for next week? No, we we we hit Debbie

792
00:50:09,920 --> 00:50:13,319
Speaker 1: Wasserman Schultz pretty hard right before the stuff really hit

793
00:50:13,360 --> 00:50:17,439
Speaker 1: the fan. Well, she will be making return appearance next

794
00:50:17,520 --> 00:50:20,200
Speaker 1: week in our Clinton episode, So everyone who wants to

795
00:50:20,239 --> 00:50:27,160
Speaker 1: tune in for that please do so. Also, the guy's

796
00:50:27,200 --> 00:50:30,279
Speaker 1: got a point when it comes to electronic voting machines, right,

797
00:50:31,040 --> 00:50:32,920
Speaker 1: I mean, it's been seen in the past. There are

798
00:50:32,960 --> 00:50:36,400
Speaker 1: several instances where some of the older models will be

799
00:50:36,400 --> 00:50:40,920
Speaker 1: purchased by someone tinkered with in a very short amount

800
00:50:40,960 --> 00:50:43,719
Speaker 1: of time and showing that yes, you can absolutely rig

801
00:50:43,760 --> 00:50:46,480
Speaker 1: this machine. If you are alone with it for you know,

802
00:50:46,640 --> 00:50:48,960
Speaker 1: a couple of hours, you can set it up to

803
00:50:49,000 --> 00:50:52,160
Speaker 1: spit out whatever results you want. And if you're interested

804
00:50:52,160 --> 00:50:57,280
Speaker 1: in hearing some more about the facts fiction controversy surrounding

805
00:50:57,360 --> 00:51:00,640
Speaker 1: voting machines, please check out resnap the sort of tech

806
00:51:00,719 --> 00:51:04,840
Speaker 1: stuff with our buddy Jonathan Strickland and I, where we

807
00:51:05,080 --> 00:51:09,759
Speaker 1: discuss the history of voting machines, the problems with voting machines,

808
00:51:10,200 --> 00:51:15,560
Speaker 1: and the ease with which results are skewed. Now you know,

809
00:51:15,680 --> 00:51:19,320
Speaker 1: the one good thing is that voting machines aren't used

810
00:51:20,040 --> 00:51:24,000
Speaker 1: across the United States in every county in every state. However,

811
00:51:24,280 --> 00:51:27,840
Speaker 1: there are using a lot of places, specifically into Cab County,

812
00:51:27,840 --> 00:51:30,800
Speaker 1: where I am so yeha. That being said, though, there

813
00:51:30,840 --> 00:51:34,239
Speaker 1: they are decentralized to the point where they're not on

814
00:51:34,280 --> 00:51:38,720
Speaker 1: some sort of network where you know, a single um

815
00:51:38,920 --> 00:51:42,680
Speaker 1: god view exists where you could tamper with you know

816
00:51:42,800 --> 00:51:47,239
Speaker 1: them in bulk. It would require an individual to do

817
00:51:47,400 --> 00:51:50,399
Speaker 1: something to tamper with a single machine. So I mean

818
00:51:50,440 --> 00:51:55,920
Speaker 1: the logistics to me of really legitimately quote unquote rigging

819
00:51:56,440 --> 00:51:58,960
Speaker 1: an election. It really strikes me as a bit of

820
00:51:58,960 --> 00:52:01,799
Speaker 1: a stretch. That's just me. I hear you, I see

821
00:52:01,840 --> 00:52:07,680
Speaker 1: what you're saying. And you know, most Americans nowadays have

822
00:52:07,840 --> 00:52:11,480
Speaker 1: less and less faith in this sort of system. Right,

823
00:52:11,719 --> 00:52:14,880
Speaker 1: you learn about the electoral college, which is essentially a

824
00:52:14,920 --> 00:52:19,440
Speaker 1: way of ensuring well preventing mobable, but also a way

825
00:52:19,600 --> 00:52:25,279
Speaker 1: of creating an opportunity for parties to ignore the people. Right.

826
00:52:25,360 --> 00:52:27,640
Speaker 1: It's also a way of kind of neutering the voter

827
00:52:28,000 --> 00:52:30,600
Speaker 1: as an individual, you know, I mean, like as far

828
00:52:30,640 --> 00:52:33,680
Speaker 1: as taking away what we perceive as being this right

829
00:52:34,160 --> 00:52:38,200
Speaker 1: one vote, you know, one individual, one vote, but it's

830
00:52:38,200 --> 00:52:41,480
Speaker 1: really treated much more in like blocks, you know, right,

831
00:52:41,840 --> 00:52:44,800
Speaker 1: and do do you know it calls into a question

832
00:52:45,520 --> 00:52:50,959
Speaker 1: the the system. I'm going to do a crass comparison here.

833
00:52:51,360 --> 00:52:55,920
Speaker 1: So without questioning the system, especially in era where a

834
00:52:55,960 --> 00:52:59,080
Speaker 1: lot of people don't care for either candidate, particularly with that,

835
00:52:59,480 --> 00:53:03,880
Speaker 1: without seching the system, we're not as a nation making

836
00:53:03,880 --> 00:53:06,920
Speaker 1: the progress we could make, because otherwise we're like people

837
00:53:07,000 --> 00:53:09,600
Speaker 1: choosing between like should I eat these nails or should

838
00:53:09,640 --> 00:53:13,799
Speaker 1: I eat uh this this these glass shards and no

839
00:53:13,840 --> 00:53:17,000
Speaker 1: one's like, hey, maybe we shouldn't eat either, Maybe we

840
00:53:17,000 --> 00:53:20,600
Speaker 1: should eat something that's you know, food. Uh. So, well,

841
00:53:20,640 --> 00:53:23,920
Speaker 1: I was watching pundits discuss the fact that Donald Trump

842
00:53:23,960 --> 00:53:26,960
Speaker 1: is calling into question the system of our democracy itself

843
00:53:27,000 --> 00:53:30,560
Speaker 1: and how we elect officials, and he was defending it

844
00:53:30,640 --> 00:53:33,640
Speaker 1: in a way that you would defend the flag or

845
00:53:33,680 --> 00:53:36,080
Speaker 1: maybe the national anthem standing up in the national anthem.

846
00:53:36,120 --> 00:53:41,400
Speaker 1: How how people get so emotionally distraught when something like

847
00:53:41,440 --> 00:53:45,040
Speaker 1: that is called into question And I really see that, man,

848
00:53:45,080 --> 00:53:48,240
Speaker 1: I see, I see that that that is a huge issue.

849
00:53:48,280 --> 00:53:51,399
Speaker 1: If we can't even critically think about something. Should there

850
00:53:51,480 --> 00:53:56,720
Speaker 1: be um coalition governments like the way some European nations

851
00:53:56,760 --> 00:54:00,479
Speaker 1: handle it, you know where they say, okay, third three

852
00:54:01,040 --> 00:54:03,279
Speaker 1: of people voted for party A, so that has to

853
00:54:03,320 --> 00:54:06,840
Speaker 1: be a representative of that voted for B, you know,

854
00:54:06,920 --> 00:54:11,360
Speaker 1: et cetera. Until you hit I do not know the answer.

855
00:54:13,080 --> 00:54:17,880
Speaker 1: And we have just touched on some of the theory

856
00:54:18,080 --> 00:54:25,840
Speaker 1: surrounding this candidate. And again to emphasize, uh, the GOP officials, Congress, folks, governors,

857
00:54:25,840 --> 00:54:29,000
Speaker 1: so on, large factions of them do not support this candidate,

858
00:54:29,040 --> 00:54:31,440
Speaker 1: despite the fact that many of the voters they are

859
00:54:31,480 --> 00:54:35,799
Speaker 1: representing have chosen this guy, regardless of what you think

860
00:54:35,880 --> 00:54:38,120
Speaker 1: that is. That is a fact. Is this a case

861
00:54:38,320 --> 00:54:41,080
Speaker 1: of the people versus their own party, or the party

862
00:54:41,200 --> 00:54:44,640
Speaker 1: versus their own people. The controversy surrounding both of these

863
00:54:44,680 --> 00:54:48,640
Speaker 1: candidates indicates a higher chance than usual of third parties

864
00:54:48,960 --> 00:54:53,400
Speaker 1: garnering more votes, specifically of course Gary Johnson, the Libertarian candidate,

865
00:54:53,600 --> 00:54:58,120
Speaker 1: and the Green Party candidate Jill Stein as of right now,

866
00:54:58,160 --> 00:55:01,640
Speaker 1: which could change you know next week. UH At five

867
00:55:01,880 --> 00:55:06,160
Speaker 1: thirty eight the election forecast and statistics that run by

868
00:55:06,560 --> 00:55:12,320
Speaker 1: Nate Silver. You can see that there they're predicting UM

869
00:55:12,680 --> 00:55:19,280
Speaker 1: pretty high, pretty high numbers as far as UM polling goes.

870
00:55:19,840 --> 00:55:23,720
Speaker 1: But these numbers can these numbers can change pretty rapidly.

871
00:55:23,719 --> 00:55:29,880
Speaker 1: But Nate Silver has earned a reputation for having less

872
00:55:30,040 --> 00:55:34,160
Speaker 1: inaccurate predictions. He's got the good algorithms, the best algorithms.

873
00:55:34,239 --> 00:55:38,960
Speaker 1: Nate Silver, right, unbelievable. You won't believe his algorithms. UH.

874
00:55:39,160 --> 00:55:43,600
Speaker 1: But we hope that you have appreciated this episode, and

875
00:55:44,080 --> 00:55:47,560
Speaker 1: we hope that you will tune in for our next

876
00:55:47,560 --> 00:55:51,760
Speaker 1: episode UH even closer to the election, wherein we cover

877
00:55:51,960 --> 00:55:56,640
Speaker 1: the facts, fiction, and controversy surrounding UH. The other candidate

878
00:55:56,760 --> 00:56:02,720
Speaker 1: or the other large candidates. Uh. Democratic nomination holder Hillary

879
00:56:02,800 --> 00:56:05,520
Speaker 1: Rodham Clinton. I wanted to talk to you guys really

880
00:56:05,560 --> 00:56:09,520
Speaker 1: fast before we completely close and get to the skidooche

881
00:56:09,600 --> 00:56:13,319
Speaker 1: moment that we've all been waiting for. Uh. How how

882
00:56:13,320 --> 00:56:17,640
Speaker 1: do you guys think media coverage has played a role

883
00:56:17,880 --> 00:56:21,319
Speaker 1: in in this election and shaping how the candidates are

884
00:56:21,360 --> 00:56:24,480
Speaker 1: Because it occurs to me that if you want to

885
00:56:24,560 --> 00:56:28,120
Speaker 1: rig an election, rather than you know, going through and

886
00:56:28,200 --> 00:56:32,440
Speaker 1: actually physically rigging the electronic voting machines by doing all

887
00:56:32,600 --> 00:56:36,880
Speaker 1: kinds of huge amounts of new voters coming in with

888
00:56:36,920 --> 00:56:40,440
Speaker 1: the registrations, all of the effort that takes, couldn't you

889
00:56:40,800 --> 00:56:45,239
Speaker 1: just somewhat control how the media covers your candidates. And

890
00:56:45,360 --> 00:56:48,480
Speaker 1: I think that's exactly what Donald Trump is arguing. I

891
00:56:48,520 --> 00:56:52,040
Speaker 1: think when he says that the the election is being rigged,

892
00:56:52,400 --> 00:56:54,720
Speaker 1: I mean, he's so vague and the things that he says,

893
00:56:54,760 --> 00:56:57,719
Speaker 1: but I think largely what he's planting to is the

894
00:56:57,760 --> 00:57:01,720
Speaker 1: fact that the media is to us into the media

895
00:57:01,800 --> 00:57:05,880
Speaker 1: has turned on him. It seems like, in his opinion,

896
00:57:06,080 --> 00:57:11,239
Speaker 1: they have gone from just reporting every inflammatory thing that

897
00:57:11,280 --> 00:57:18,040
Speaker 1: he does or says to covering allegations that in his

898
00:57:18,200 --> 00:57:22,439
Speaker 1: mind have not been proven, and he feels as though

899
00:57:22,520 --> 00:57:27,000
Speaker 1: that is inherently bias in my opinion the way it

900
00:57:27,080 --> 00:57:30,400
Speaker 1: seems from the way he's describing it, and is an

901
00:57:30,400 --> 00:57:35,960
Speaker 1: attack directly on his candidacy that maybe has been manipulated

902
00:57:36,120 --> 00:57:40,400
Speaker 1: orchestrated in some way by his opponent, and in his mind,

903
00:57:41,960 --> 00:57:45,760
Speaker 1: as it seems, there is some collusion going on between

904
00:57:45,800 --> 00:57:49,080
Speaker 1: his opponent, Hillary Clinton and the quote unquote liberal media.

905
00:57:50,040 --> 00:57:54,800
Speaker 1: The problem there, to me, though, is big part of

906
00:57:54,840 --> 00:58:01,600
Speaker 1: Donald Trump's meteoric rise has been the fact that he billions.

907
00:58:01,640 --> 00:58:04,360
Speaker 1: I want to say, there's a figure that I saw

908
00:58:04,760 --> 00:58:09,040
Speaker 1: in free advertising just by going on shows, just by

909
00:58:09,040 --> 00:58:14,640
Speaker 1: going on shows being a ratings machine, you know, like

910
00:58:14,760 --> 00:58:17,480
Speaker 1: someone that that these networks knew that if they did

911
00:58:17,480 --> 00:58:22,760
Speaker 1: stories on him or whatever new thing he said, people

912
00:58:22,800 --> 00:58:24,600
Speaker 1: were gonna click on it, People were gonna watch it,

913
00:58:24,640 --> 00:58:26,480
Speaker 1: people were going to tune him because they wanted to

914
00:58:26,560 --> 00:58:30,120
Speaker 1: see where it was gonna go, because it is so unprecedented.

915
00:58:31,160 --> 00:58:33,080
Speaker 1: So to me, I think it's sort of does not

916
00:58:33,200 --> 00:58:36,360
Speaker 1: ring true, and it's sort of a hollow argument to say, oh, well,

917
00:58:36,360 --> 00:58:38,920
Speaker 1: now the media is turning on me. You know, the

918
00:58:39,040 --> 00:58:42,680
Speaker 1: very media that raised me up to my position of

919
00:58:42,720 --> 00:58:47,800
Speaker 1: prominence here is now my enemy. Yeah, I think you know,

920
00:58:48,640 --> 00:58:53,040
Speaker 1: there's another thing here that people don't talk about as

921
00:58:53,080 --> 00:58:57,360
Speaker 1: much as they should, which is that voter fraud, often

922
00:58:57,400 --> 00:59:01,280
Speaker 1: presented as a boogeyman in recent times for various people,

923
00:59:01,560 --> 00:59:07,160
Speaker 1: various agendas, doesn't seem to happen as easily as people

924
00:59:08,480 --> 00:59:12,040
Speaker 1: may imagine. That'd be like voting multiple times, dead people

925
00:59:12,160 --> 00:59:14,720
Speaker 1: voting this this kind of voter for aud right and

926
00:59:14,800 --> 00:59:18,400
Speaker 1: voting has been super dirty in American history for for

927
00:59:18,520 --> 00:59:24,760
Speaker 1: a long time. So is it possible that elections are corrupt? Certainly? Oh, certainly,

928
00:59:25,080 --> 00:59:30,440
Speaker 1: but to what degree and via what means? We'd like

929
00:59:30,560 --> 00:59:35,800
Speaker 1: to hear your thoughts on the nature of the political system.

930
00:59:36,280 --> 00:59:39,000
Speaker 1: I would like to hear any other conspiracy theories that

931
00:59:39,040 --> 00:59:43,120
Speaker 1: you think your fellow listeners should know. And speaking of

932
00:59:43,240 --> 00:59:51,640
Speaker 1: fellow listeners, it's that time again shout at conners. Before

933
00:59:51,640 --> 00:59:53,120
Speaker 1: we get into the shout outs, I want to thank

934
00:59:53,120 --> 00:59:56,720
Speaker 1: everyone for tuning in to our recent shout out Corners Skidoos.

935
00:59:56,840 --> 00:59:59,800
Speaker 1: The episode, Um, you know, a lot of people look

936
00:59:59,840 --> 01:00:01,760
Speaker 1: at the thos is being kind of like a throwaway

937
01:00:01,880 --> 01:00:04,320
Speaker 1: clip show type episode, and we went to a lot

938
01:00:04,320 --> 01:00:06,840
Speaker 1: of trouble to make sure that it wasn't and uh,

939
01:00:06,880 --> 01:00:09,760
Speaker 1: the listeners seem to enjoy it, and the numbers reflected that.

940
01:00:09,840 --> 01:00:11,400
Speaker 1: So we want to thank you guys for tuning in.

941
01:00:12,200 --> 01:00:16,600
Speaker 1: Our first correspondence comes from Matthew from quote Foggy London

942
01:00:16,720 --> 01:00:19,800
Speaker 1: Town unquote. He sent us a long thought out response

943
01:00:19,880 --> 01:00:25,440
Speaker 1: about our great game episode. That's going way back there, Matthew. Um,

944
01:00:25,480 --> 01:00:27,680
Speaker 1: but we're gonna boil it down to a few questions

945
01:00:27,720 --> 01:00:30,480
Speaker 1: that he posed to us. He said, why can't the

946
01:00:30,520 --> 01:00:34,320
Speaker 1: American government and their counterparts in Moscow ever get along

947
01:00:34,480 --> 01:00:37,720
Speaker 1: and work together like they had done with the success

948
01:00:37,720 --> 01:00:40,480
Speaker 1: of I s S, the International Space Station and joint

949
01:00:40,520 --> 01:00:44,400
Speaker 1: space programs who made the decision to dislike Russia now

950
01:00:44,440 --> 01:00:47,680
Speaker 1: and painted as the evil boogeyman again? Is it good

951
01:00:47,680 --> 01:00:51,040
Speaker 1: for business for both competing sides to be at loggerheads

952
01:00:51,120 --> 01:00:56,640
Speaker 1: to fund this huge military industrial complex. Interesting to have that, Uh,

953
01:00:57,200 --> 01:01:01,320
Speaker 1: the opposing force that you must build up arms against, Matthew,

954
01:01:01,520 --> 01:01:05,520
Speaker 1: that's a fascinating idea. Thank you, Matthew. Those are definitely

955
01:01:05,560 --> 01:01:07,920
Speaker 1: some questions that we're going to continue to think about,

956
01:01:08,120 --> 01:01:11,480
Speaker 1: and you know, we'll see if it inspires us to

957
01:01:11,560 --> 01:01:14,120
Speaker 1: look into it. More in the future, perhaps an update

958
01:01:14,200 --> 01:01:18,200
Speaker 1: on the modern group game. But yeah, excellent questions. Who's next?

959
01:01:18,680 --> 01:01:21,760
Speaker 1: Vicky in Ohio send us an email with a short

960
01:01:21,840 --> 01:01:27,160
Speaker 1: list of possible topics, including cern shape shifting, astral projection,

961
01:01:27,800 --> 01:01:32,880
Speaker 1: ley lines, and Stromman theory. I would love to cover

962
01:01:32,960 --> 01:01:36,080
Speaker 1: shape shifting, astral projections, and lay lines. Yeah, I think

963
01:01:36,080 --> 01:01:38,920
Speaker 1: we all this caters to a lot of our individual favorites.

964
01:01:39,280 --> 01:01:44,720
Speaker 1: Astral projection is that going out of your body in

965
01:01:44,760 --> 01:01:50,280
Speaker 1: a trance. Is that specific projects stargate? Okay, there's a

966
01:01:50,280 --> 01:01:54,040
Speaker 1: bit of a difference perhaps between remote viewing and astral projection.

967
01:01:54,920 --> 01:01:59,720
Speaker 1: People who believe in astro projection believe that some intangible

968
01:02:00,040 --> 01:02:03,640
Speaker 1: warm of the person, the spirit or the soul of consciousness. Yeah,

969
01:02:03,840 --> 01:02:07,880
Speaker 1: escapes and you can see various artistic interpretations. People often

970
01:02:07,880 --> 01:02:12,240
Speaker 1: described like a small, uh tendril of sorts connecting them

971
01:02:12,280 --> 01:02:15,640
Speaker 1: to their physical body. It's interesting. So yeah, if you

972
01:02:15,680 --> 01:02:17,680
Speaker 1: want to hear more about any of those, you wanted

973
01:02:17,720 --> 01:02:20,080
Speaker 1: to do an an episode right to us and let

974
01:02:20,120 --> 01:02:24,720
Speaker 1: us know. And one more, we have Sharad in North Carolina.

975
01:02:25,040 --> 01:02:27,720
Speaker 1: I hope I am pronouncing your name correctly, uh, wrote

976
01:02:27,760 --> 01:02:31,560
Speaker 1: in to ask us and the following things. During this

977
01:02:31,640 --> 01:02:34,840
Speaker 1: election cycle, we've had several instances of oh, here's the

978
01:02:35,080 --> 01:02:39,040
Speaker 1: finger quote effect, how is it? Thank you? Leaked documents

979
01:02:39,040 --> 01:02:41,120
Speaker 1: and emails, and it seems as if most people are

980
01:02:41,120 --> 01:02:43,600
Speaker 1: more interested in what they say instead of where they

981
01:02:43,640 --> 01:02:46,720
Speaker 1: came from. Could there be a conspiracy going on that's

982
01:02:46,720 --> 01:02:49,560
Speaker 1: meant to make us more comfortable with hacking? Is this

983
01:02:49,680 --> 01:02:53,320
Speaker 1: campaign season all just one massive cover up leading us

984
01:02:53,360 --> 01:02:57,520
Speaker 1: all into an age of non existent privacy? It's a

985
01:02:57,600 --> 01:03:00,560
Speaker 1: nice set up for next week. It's BEAUTI full thank

986
01:03:00,560 --> 01:03:03,560
Speaker 1: you sir. That is like just sending us right over

987
01:03:03,640 --> 01:03:06,200
Speaker 1: the cliff end of the next one, like did privacy

988
01:03:06,240 --> 01:03:08,960
Speaker 1: ever exist? What is the nature of privacy? The concept

989
01:03:09,000 --> 01:03:16,280
Speaker 1: of privacy really is um much more recent than we

990
01:03:16,320 --> 01:03:20,000
Speaker 1: would like to pretend at times. And also we're facing

991
01:03:20,040 --> 01:03:24,720
Speaker 1: maybe not the extinction of privacy, just growing inequality of privacy.

992
01:03:25,120 --> 01:03:27,120
Speaker 1: I submit to you that privacy will be one of

993
01:03:27,160 --> 01:03:30,560
Speaker 1: the new currencies or status symbols of the coming age.

994
01:03:31,360 --> 01:03:33,959
Speaker 1: So we hope you enjoyed this at least in some

995
01:03:34,080 --> 01:03:37,240
Speaker 1: dark way. Uh, this episode on Donald Trump, and next

996
01:03:37,280 --> 01:03:40,000
Speaker 1: week we're gonna get into, like we said, Hillary Clinton,

997
01:03:40,240 --> 01:03:43,360
Speaker 1: If you have any thoughts on anything that we've talked about.

998
01:03:43,760 --> 01:03:47,440
Speaker 1: Please find us on Facebook or Twitter. We are conspiracy

999
01:03:47,440 --> 01:03:50,560
Speaker 1: Stuff on both of those. You can find us on

1000
01:03:50,680 --> 01:03:55,120
Speaker 1: Instagram now conspiracy Stuff Show. If you don't already watch

1001
01:03:55,200 --> 01:03:58,080
Speaker 1: our videos on YouTube, we spend a lot of time

1002
01:03:58,080 --> 01:04:00,120
Speaker 1: on them. We like them a lot, we think he

1003
01:04:00,200 --> 01:04:03,440
Speaker 1: will too, Head on over to YouTube dot com slash

1004
01:04:03,560 --> 01:04:06,800
Speaker 1: conspiracy Stuff. And if you don't want to do any

1005
01:04:06,920 --> 01:04:10,080
Speaker 1: of those things and you just want to talk to

1006
01:04:10,160 --> 01:04:13,040
Speaker 1: us or send us a suggestion, because our best ideas

1007
01:04:13,160 --> 01:04:16,320
Speaker 1: always come from you, write us an email. We are

1008
01:04:16,520 --> 01:04:38,640
Speaker 1: conspiracy at how stuff Works dot com.