Challenging Conventional Wisdom on What Our Politicians Are Telling Us
Show Notes
Are we being misled by "woke" agendas and false political narratives? In this podcast, we reexamin of current political narratives, emphasizing the critical role of data and historical accuracy. As major elections loom in the US and Canada, we question our understanding of political messages and analyze how different media outlets shape these perceptions. By comparing the political climates under Obama, Trump, and Biden, and analyzing data, we challenge you to rethink commonly held beliefs about our leaders and their legacies.
Tune in for a data-driven exploration that challenges conventional wisdom and encourages critical thinking about today's pressing political and economic issues.
00:00:00.080 --> 00:00:18.460 many global leaders are at the United Nations, stuart talking about the future, and one of the leaders that stood up there and gave a 15-minute presentation was President of Argentina, javier Millay, and what he came out and said was I'm not a politician, I'm an economist, I'm a liberal, I'm a libertarian.
00:00:18.460 --> 00:00:31.890 Those are the words he used and what he was talking about is enough with the woke speech, enough with what people think others want to hear to further an agenda that doesn't make any sense.
00:00:31.890 --> 00:00:41.523 He in a sense said to the world in the United Nations, we need to rethink our approach to the future because we're misleading our population.
00:00:41.523 --> 00:00:43.930 I'm paraphrasing that Hi everybody, welcome back to the Red Network.
00:00:43.930 --> 00:00:46.887 I'm David Solomon, he's Stuart Briskell.
00:00:47.268 --> 00:01:01.823 This is the podcast that we love to talk about, all these unfiltered and uncensored conversations, and today we're going to go really outside of the usual range of topics, because we love not only expressing our opinions, but we like to challenge, sometimes, the status quo.
00:01:01.823 --> 00:01:09.921 This is where we share our thoughts, our experiences, but, like I said in many times, we're not a media house, but boy do we do our homework, and today you'll see what we mean.
00:01:09.921 --> 00:01:14.141 We dive in general into the latest news, pop culture and politics and so much more.
00:01:14.141 --> 00:01:19.472 And today it's a question of do you think that we're living in absurd times?
00:01:19.472 --> 00:01:31.596 Because this is absurd, and as we get into an American election, and in 2025 there will be a Canadian election and there will be other elections, are we sure we understand what our politicians are telling us?
00:01:31.596 --> 00:01:48.944 And so, folks, the reason I started this whole thing was, if we look back, 2009, right, stuart, 2009, everybody in the United States well, not everybody, but a lot of people in the United States were excited A new era.
00:01:49.644 --> 00:01:50.865 The Obamas were coming in.
00:01:50.865 --> 00:01:52.486 We didn't realize it'll be two terms.
00:01:52.486 --> 00:02:00.132 We had a four-year Trump term and now we're ending a four-year Biden-Harris term.
00:02:00.132 --> 00:02:20.044 Years we have heard almost polar opposite messages and the crazy thing, stuart, is your people and the media on the left continue to push the Democrats agenda and on the right you got people saying no, it's not quite true.
00:02:20.044 --> 00:02:27.895 But, like Galileo experienced, if more people say it's right, you can't challenge.
00:02:27.895 --> 00:02:28.616 You've done some homework.
00:02:28.616 --> 00:02:32.146 Let's challenge common beliefs, please.
00:02:33.790 --> 00:02:34.111 All right.
00:02:34.111 --> 00:02:52.411 Well, david, thanks for the intro, and I got to tell you in this conversation we're just going to assume that our audience is just American, but you can apply this concept to be Canadian, european, whatever country you come from, and the bottom line is it's about data.
00:02:52.411 --> 00:03:04.445 You know David always gives my pain in my thoric side that you know I spend too much time on the minutiae and data, like he corrects me in history.
00:03:04.445 --> 00:03:05.407 So he does the same.
00:03:05.407 --> 00:03:12.712 But I want to bring us back and recap a bunch of things and I'm going to share my screen, which hopefully shares quickly.
00:03:12.712 --> 00:03:14.382 Start screen.
00:03:14.382 --> 00:03:15.403 Share there we go.
00:03:15.403 --> 00:03:15.844 Window.
00:03:15.844 --> 00:03:19.671 There it is Share, it's not sharing.
00:03:19.671 --> 00:03:42.281 There we go, there we go.
00:03:42.300 --> 00:03:48.116 So you know we all remember COVID and when you dealt with COVID, you know we shut down all our schools and it was because the children were dying and it was to protect our youth.
00:03:48.116 --> 00:03:57.054 Okay, well, let's look at the data sourced from the CDC, the one organization that was standing out there on a regular basis telling us the data.
00:03:57.054 --> 00:04:03.048 So here's source data from influenza estimates, which were 2018 to 2019.
00:04:03.048 --> 00:04:07.354 Estimates which were 2018 to 2019.
00:04:07.354 --> 00:04:19.137 And this is a study published October 2nd 2021, which was the height of our data collection for deaths to COVID.
00:04:19.137 --> 00:04:27.454 As you can see, the influenza deaths of zero to 17 was 0.01 of the population.
00:04:27.454 --> 00:04:28.259 Covid was 0.002.
00:04:28.259 --> 00:04:33.480 So less people died 0 to 17 of COVID than they did of actual influenza.
00:04:33.480 --> 00:04:39.653 But we never heard of a school board shutting down a school, did you, david?
00:04:40.440 --> 00:04:41.766 Oh, no, never.
00:04:42.560 --> 00:04:49.533 Now where the real data changes immensely is the 65 plus.
00:04:49.533 --> 00:05:02.620 But even that data is skewed because in this data that we got over here they literally included anything that included any other death.
00:05:02.620 --> 00:05:17.160 So a complication to an influenza is excluded in the influenza chart, but the COVID chart includes someone who died of something as of being very ill and very sick and very compromised and died.
00:05:17.160 --> 00:05:22.793 So the number is still very high 3.9 percent estimate by age.
00:05:22.793 --> 00:05:35.649 I don't think that's bad and I don't think that merited closing down all the schools, all the businesses, other than for political control.
00:05:35.649 --> 00:05:46.593 The weekly of number deaths from all causes David, let's go to the data Again, sourced as of 9-16-2023 by the CDC.
00:05:46.593 --> 00:05:58.071 You could see the line here on black, which is the upper bound threshold, and then you can see the predicted amount of deaths from all causes.
00:05:58.071 --> 00:06:04.031 You would think the arrow would be pointing up between 19 and 23.
00:06:04.031 --> 00:06:12.511 But if you look at it start over here and you look at an end over here the slant isn't like this, david.
00:06:12.511 --> 00:06:14.540 The slant is leaning down.
00:06:14.540 --> 00:06:17.285 Okay, let me go to the next slide.
00:06:18.266 --> 00:06:23.781 The credit market of debt, non-financial credit market of debt.
00:06:23.781 --> 00:06:30.918 It's at an all-time high, but the government's trying to tell you.
00:06:30.918 --> 00:06:33.375 Today, the economy is strong.
00:06:33.375 --> 00:06:35.877 The Green New Deal was good for you.
00:06:35.877 --> 00:06:44.814 The corporate assets companies are weak Since 2008,.
00:06:44.814 --> 00:06:49.735 The financial crisis what line do you see?
00:06:49.735 --> 00:06:53.738 Up, not down.
00:06:53.738 --> 00:06:59.721 Let's talk about debt to assets, another big number.
00:06:59.721 --> 00:07:01.757 This is sourced from the Federal Reserve.
00:07:01.757 --> 00:07:06.701 It's Q1 1990 to Q4 2023.
00:07:06.701 --> 00:07:29.819 The assets and credit market debt Credit market debt since 2008 hasn't really risen that much proportionately to the amount of assets of companies, interesting the cost of service debt over GDP.
00:07:29.819 --> 00:07:32.002 You look at the 80s.
00:07:32.002 --> 00:07:32.904 Look at today.
00:07:32.904 --> 00:07:35.211 This number is still down.
00:07:35.211 --> 00:07:40.418 Let me go Pre-tax.
00:07:40.418 --> 00:07:41.560 No, let's skip that one.
00:07:41.560 --> 00:07:42.322 That's not important.
00:07:42.322 --> 00:07:45.485 Let's now talk about incremental weather.
00:07:45.485 --> 00:07:56.581 Originally in the 80s and I remember it we had an ice age coming, yet the world was warming up.
00:07:56.581 --> 00:07:58.677 Then it became global warming.
00:07:58.677 --> 00:08:03.701 Then they said global warming is causing major hurricanes.
00:08:03.701 --> 00:08:05.572 Look at the line.
00:08:05.572 --> 00:08:08.680 The line is going.
00:08:08.680 --> 00:08:09.983 In what direction, david?
00:08:11.173 --> 00:08:13.531 It's down a little bit, but yeah, it's actually down.
00:08:14.334 --> 00:08:16.718 Remember the Green New Deal.
00:08:16.718 --> 00:08:33.942 Global warming and this is sourced from the National Oceanic and Atmospheric Administration collected data 1900 to 2024 of all major hurricane scores that are three plus on the Saffir-Simpson scale.
00:08:34.123 --> 00:08:34.644 Now hang on.
00:08:35.269 --> 00:08:41.964 Most people take a segment of the data and just give you a segment of it.
00:08:41.964 --> 00:08:44.634 Here is the whole chart.
00:08:44.634 --> 00:08:46.096 Guys, for 100 years.
00:08:46.096 --> 00:08:53.235 It's kind of interesting Landfall in the United States.
00:08:53.235 --> 00:08:56.268 The ARC's argument is there's more physical damage.
00:08:56.268 --> 00:09:01.578 Your insurance company is raising your rates because there is more consequential damage.
00:09:01.578 --> 00:09:03.081 Damage again.
00:09:03.081 --> 00:09:04.543 Source from the same people.
00:09:04.543 --> 00:09:09.472 Same date range ending 9, 15, 2024 david.
00:09:09.472 --> 00:09:10.475 This is fresh data.
00:09:10.475 --> 00:09:12.278 Look at this arrow.
00:09:12.278 --> 00:09:13.861 Which way is the arrow going?
00:09:13.861 --> 00:09:19.200 It's but yet your insurance prices are going in what direction?
00:09:19.681 --> 00:09:20.942 no, but it's more than that.
00:09:23.624 --> 00:09:26.288 Harris is still screaming that it's on the rise.
00:09:26.330 --> 00:09:42.450 Global warming, green New Deal you must Now global warming, the threat of CO2 emissions, the environment, the annual average excess deaths due to cold water or heat as a result of weather.
00:09:42.450 --> 00:09:53.621 This is sourced from the National Bureau of Mortality and this is source data from 2000 to 2019.
00:09:53.621 --> 00:10:01.360 And this says, on all this data on the bottom, which I can always send you guys, the amount of deaths has gone in what direction?
00:10:01.360 --> 00:10:05.200 Due to heat and cold, it's gone down.
00:10:05.200 --> 00:10:11.595 Less people are dying from heat and cold in 20 years by over 10x.
00:10:11.595 --> 00:10:36.284 Let's now talk about the death of climate-related weather Extreme floods, droughts, storms, wildfires, extreme temperatures From 1920, source from the epidemiological society a disaster of our country From 1920, looking forward to 2023.
00:10:36.284 --> 00:10:39.537 What direction is that going in, david?
00:10:39.537 --> 00:10:40.701 It's down again.
00:10:40.701 --> 00:10:42.211 Down again.
00:10:42.211 --> 00:10:45.020 It's been relatively flat for 30 years.
00:10:45.020 --> 00:10:50.951 Again, down again.
00:10:50.951 --> 00:10:51.932 It's been relatively flat for 30 years.
00:10:51.952 --> 00:10:57.532 Let's talk about CO2 emissions and the Green New Deal and the run for EV, electrical power vehicles and the amount of air pollutants.
00:10:57.532 --> 00:11:03.740 Now, back in 1960, the United States represented nearly 3 million pounds.
00:11:03.740 --> 00:11:06.644 This is source data from the carbon project.
00:11:06.644 --> 00:11:18.179 Source data is 1960 to the current date, because you'll see that as we go further down, this is not indicative of any investment.
00:11:18.179 --> 00:11:21.299 This is just raw carbon production.
00:11:21.299 --> 00:11:24.899 United States eclipsed the world.
00:11:24.899 --> 00:11:37.394 Let's flash forward 2020, china has over two and a half times.
00:11:37.394 --> 00:11:40.518 That's two and a half times.
00:11:40.518 --> 00:11:48.366 You see that, david, india will surpass the United States by two times by the end of the decade.
00:11:48.366 --> 00:11:52.432 Who's producing all the carbons in the world?
00:11:55.932 --> 00:11:57.677 David, yeah, you're talking about listen.
00:11:57.677 --> 00:12:01.386 The greatest polluters in the world are China, india, russia.
00:12:02.936 --> 00:12:04.956 Where is the air Source?
00:12:04.956 --> 00:12:08.647 World Health Organization, our favorite, the WHO people?
00:12:08.647 --> 00:12:13.346 Where is the cleanest air currently in the world?
00:12:14.095 --> 00:12:15.260 Well, it seems like North America.
00:12:16.034 --> 00:12:18.883 No, between the United States and the United Kingdom.
00:12:18.883 --> 00:12:24.582 Oh well, yes, and Canada's not even on here.
00:12:24.582 --> 00:12:27.783 I think Canada is probably somewhere here.
00:12:27.783 --> 00:12:34.245 It's probably pretty good, but look, look, look Now, david, what is the point of all of this data?
00:12:34.245 --> 00:12:40.086 And you know you, always everyone gets mad at me because I always seem to talk about data.
00:12:40.086 --> 00:12:50.956 The facts are Every four years the United States divides into two parties In Canada.
00:12:50.956 --> 00:12:54.403 Every how many years do you pick a prime minister?
00:12:54.403 --> 00:12:56.248 Also about four years.
00:12:56.956 --> 00:12:57.076 OK.
00:12:59.639 --> 00:13:07.551 So why does the data become non-relevant as a whole, but only a snippet?
00:13:07.551 --> 00:13:18.326 You know the Democrats would have you believe the Republican Party destroyed the United States, where the last 16 years have been a Democratic Party.
00:13:18.326 --> 00:13:31.369 Kamala Harris would have you believe that she isn't currently in power and that all these changes are only going to happen if you elect her.
00:13:31.369 --> 00:13:33.642 But she hasn't done a damn thing.
00:13:33.642 --> 00:13:37.745 So where is the common sense?
00:13:37.745 --> 00:13:59.243 They talk about our wonderful president of the United States, our former president, that has been attempted to be assassinated not once, but twice, that he is the reason why there is so much hatred in the world, but he hasn't been in control.
00:13:59.243 --> 00:14:02.182 There were no wars while he was in power.
00:14:02.182 --> 00:14:03.775 Were there.
00:14:03.775 --> 00:14:06.921 The economy was booming, was it?
00:14:06.921 --> 00:14:14.461 But the data as a whole is what you've got to analyze and you've got to be a quick thinker.
00:14:14.461 --> 00:14:19.138 You can't accept it without looking at data and understanding the source data.
00:14:19.138 --> 00:14:23.687 It's the same like checking one person, not another.
00:14:23.687 --> 00:14:27.635 Discord, you know.
00:14:27.635 --> 00:14:28.317 Again I bring up Walter Cronkite.
00:14:28.317 --> 00:14:32.106 I had the privilege of being with a man by the name of Jin Bowen.
00:14:32.106 --> 00:14:44.427 He is the CEO of a company called First Trust, where I got most of this data, which is a $218 billion assets under management firm.
00:14:44.427 --> 00:14:53.125 He is by far representing Democrats and Republicans.
00:14:53.125 --> 00:15:02.532 He's representing Americans, europeaners and Canadians around the world as an asset manager since the 1980s.
00:15:03.975 --> 00:15:08.908 The importance of mentioning this is it's nothing to do with how I feel.
00:15:08.908 --> 00:15:11.341 You got to be a critical thinker.
00:15:11.341 --> 00:15:14.683 Financial advisors are critical thinkers.
00:15:14.683 --> 00:15:17.783 I want to look at the actual raw data.
00:15:17.783 --> 00:15:19.221 I want to know where it came from.
00:15:19.221 --> 00:15:22.325 I want to know how legitimate, how dirty is the data.
00:15:22.325 --> 00:15:25.721 Terminology is most important.
00:15:25.721 --> 00:15:30.542 We're talking about an election of all ages Every four years.
00:15:30.542 --> 00:15:33.558 It's an election of all ages Every four years.
00:15:33.558 --> 00:15:40.523 It's a run against democracy, and this cliche was not invented by Republicans.
00:15:40.523 --> 00:15:42.587 It was invented by Democrats.
00:15:42.587 --> 00:15:47.580 Today, you've had both parties flip.
00:15:47.580 --> 00:16:03.110 Clearly, republicans are representing a demographics that the Democrats owned and the elitists are trying to convince you what's good for you.
00:16:03.110 --> 00:16:06.239 Guys, it's about data.
00:16:06.239 --> 00:16:07.802 It's about critical thinking.
00:16:07.802 --> 00:16:10.816 That's what I'm just trying to convey.
00:16:10.816 --> 00:16:15.044 David, get our topic off of the regular norm that we talk about.
00:16:15.044 --> 00:16:18.158 Let's just talk about data.
00:16:18.158 --> 00:16:20.168 David, did I bore you to death?
00:16:20.168 --> 00:16:20.951 Death?
00:16:20.951 --> 00:16:21.774 No, you didn't bore me to death.
00:16:21.793 --> 00:16:25.823 But it's actually quite interesting because what you've done is you, you've debunked.
00:16:25.823 --> 00:16:28.844 You've debunked what we're hearing, not just in the united states.
00:16:28.844 --> 00:16:36.875 We're hearing this in canada, we're hearing this in europe, we're hearing this and the media, the problems that the media has run with this sensationalism and stewart.
00:16:36.875 --> 00:16:39.159 If you just look at some of the ways they even talk about it.
00:16:39.159 --> 00:16:41.703 Extreme weather you continue to have that.
00:16:41.703 --> 00:16:50.524 When you talk about global climate change, climate problems we've had Al Gore since 2000 screaming about all this kind of stuff.
00:16:50.524 --> 00:16:53.998 We keep hearing how bad our life is or whatever.
00:16:53.998 --> 00:17:02.365 Listen, the hot topics right now, going into the 2024 election, stuart, are about are you better off today than you were years ago?
00:17:02.365 --> 00:17:20.300 That's really the question, right, and you know people are, and I've had conversations I've been traveling quite a bit lately and my conversations with Americans have been and both sides of the aisle and even people who are independents are saying you know what we are tired of the rhetoric, we're tired of the noise and we're tired of being spoken down to.
00:17:20.622 --> 00:17:26.200 We're tired of the Nancy Pelosi's, but you know, but they're also, you know, they're also tired of the Marjorie Taylor Greene's.
00:17:26.200 --> 00:17:41.710 They're fed up and what you did today is exactly what they need to see is reality is that you know, listen, when COVID started and I spoke to some, you know some, you know some, some politicians who were involved with COVID they said we didn't know, we went based on data.
00:17:41.710 --> 00:17:51.153 Okay, so admit you were wrong, admit you misled people the answer was no, we're not going to do that, because then it opens a Pandora's box.
00:17:51.153 --> 00:17:55.681 Oh, I see, so you'd better, it's better to be thought of wrong than proven.
00:17:55.681 --> 00:18:03.200 Okay, fine, no problem, we see this in a lot of other things, you know, in Canada we talk about, oh, climate change.
00:18:03.200 --> 00:18:10.065 We're you know our temperature, extreme weathers, extreme weathers, extreme weathers If it's hot, if it's cold, it's like you know enough.
00:18:10.065 --> 00:18:13.522 And so congratulations to you and to your friends for bringing that information.
00:18:13.522 --> 00:18:15.616 That was great, that was what we need to hear.
00:18:15.616 --> 00:18:19.826 And, unfortunately, as people, as you, go to the ballot box in about 40 days.
00:18:19.826 --> 00:18:24.579 No, we're going already.
00:18:24.579 --> 00:18:25.746 We're at the ballot box already.
00:18:25.746 --> 00:18:31.106 I'm just saying the mass, the majority of the population, will be at the ballot box, but, as you are going to think of your.
00:18:31.126 --> 00:18:32.835 I would actually challenge your politicians with this data.
00:18:32.835 --> 00:18:38.688 I would challenge you know, congress people, senators, candidates, all across the board.
00:18:38.688 --> 00:18:43.159 Why do you tell us we have a problem when the numbers show otherwise?
00:18:43.159 --> 00:18:45.243 Why are you telling us other?
00:18:45.243 --> 00:18:46.426 And this is the thing.
00:18:46.426 --> 00:18:51.105 So this is why you have the Democrats, you know, trying to sway you on abortion.
00:18:51.105 --> 00:18:53.538 You know the way they realize they can't get you on that.
00:18:53.538 --> 00:18:54.761 So let's get you on abortion.
00:18:54.761 --> 00:18:58.759 On facts, and even that they muddle, and we'll talk about that in another, in another read.
00:18:58.759 --> 00:19:03.046 You know they try to muddle the facts, but they're not giving it to you.
00:19:03.046 --> 00:19:12.368 And, to summarize what was said on CNN, the Democrats are playing as if they have not been in power for 12 of the last 16 years.
00:19:12.368 --> 00:19:18.416 The problems that they're claiming that are occurring, as you said, clearly, are made by whom?
00:19:18.416 --> 00:19:20.183 And we'll leave it at that.
00:19:20.183 --> 00:19:21.380 Stuart, last word to you.
00:19:23.076 --> 00:19:24.442 I'm sorry to bore everyone.
00:19:24.442 --> 00:19:27.523 But, these charts.
00:19:27.523 --> 00:19:32.960 It's all about data, and remember that it's just about data.
00:19:32.960 --> 00:19:35.563 David, I think it's time to say goodbye.
00:19:35.563 --> 00:19:37.601 I blew a lot more than a quarter hour.
00:19:38.304 --> 00:19:38.625 That's okay.
00:19:38.625 --> 00:19:40.040 That's it, folks, for today.
00:19:40.040 --> 00:19:41.421 Thank you so much for tuning in to the Rent Network.
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00:19:44.244 --> 00:19:48.944 We are not a media house, but look what we've done to debunk the media yet again.
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