1 00:00:00,160 --> 00:00:02,840 Speaker 1: Up next, Out Loud with Joanno called Part of the 2 00:00:02,840 --> 00:00:11,639 Speaker 1: Beginning with Scheam Network. Welcome back to outllyw with Gianno 3 00:00:11,680 --> 00:00:14,840 Speaker 1: Called Well for the first episode of My Guest Today 4 00:00:14,840 --> 00:00:16,480 Speaker 1: to kick off the new Year's the one and only 5 00:00:16,560 --> 00:00:19,159 Speaker 1: Charles Pain. Charles is the host of Making Money with 6 00:00:19,239 --> 00:00:21,759 Speaker 1: Charles Paying on the Fox Business Network. He's also a 7 00:00:21,800 --> 00:00:25,640 Speaker 1: best selling author. In his latest book, it's called Unstoppable Prosperity. 8 00:00:25,960 --> 00:00:27,880 Speaker 1: He has a wealth of knowledge about the economy and 9 00:00:27,880 --> 00:00:30,360 Speaker 1: how to put more money in your pocket. In fact, 10 00:00:30,440 --> 00:00:32,839 Speaker 1: he's the founder and CEO of Wall Street Strategies at 11 00:00:32,920 --> 00:00:36,199 Speaker 1: independent stock market research Company. He's a veteran of the 12 00:00:36,240 --> 00:00:38,600 Speaker 1: financial industry and he's also a veteran of the U S. 13 00:00:38,640 --> 00:00:41,160 Speaker 1: Air Force. I'm happy to welcome Charles Pain to the show. 14 00:00:46,760 --> 00:00:48,960 Speaker 1: Brother Charles Pain, thank you for joining Out Allow with 15 00:00:49,000 --> 00:00:51,000 Speaker 1: Gianno Called And it's such a pleasure to have you 16 00:00:51,000 --> 00:00:53,520 Speaker 1: on today. Thank you, thank you very much, as a pleasure. 17 00:00:53,960 --> 00:00:57,120 Speaker 1: Absolutely Before we get into politics and the economy, I 18 00:00:57,160 --> 00:00:59,960 Speaker 1: want to ask you about a year that I think 19 00:01:00,160 --> 00:01:03,200 Speaker 1: we're all we're all happy to leave behind. And as 20 00:01:03,200 --> 00:01:04,800 Speaker 1: we entered this new year and looked back at the 21 00:01:04,840 --> 00:01:08,800 Speaker 1: last twelve months, what did mean to you? Um, how 22 00:01:08,800 --> 00:01:12,640 Speaker 1: do you remember it? Ward were the lessons political, economical, cultural, 23 00:01:12,680 --> 00:01:14,760 Speaker 1: and otherwise? How what should we learn from such a 24 00:01:14,800 --> 00:01:17,800 Speaker 1: chaotic year? You know, there's so many things, but if 25 00:01:17,800 --> 00:01:19,640 Speaker 1: I had to put something at the very top, I 26 00:01:19,680 --> 00:01:22,920 Speaker 1: think we should learn that we can survive, you know, 27 00:01:23,000 --> 00:01:26,760 Speaker 1: that we that we can endure immense challenges. You know, 28 00:01:26,840 --> 00:01:30,280 Speaker 1: because I think we got into a place, certainly in 29 00:01:30,280 --> 00:01:32,839 Speaker 1: America where we were pretty comfortable. You know, I listen, 30 00:01:32,920 --> 00:01:35,960 Speaker 1: I I remember, and I joined the military. You know, 31 00:01:36,040 --> 00:01:38,880 Speaker 1: I wanted a policeman, security policeman, and there was a 32 00:01:38,920 --> 00:01:40,319 Speaker 1: chance if where was the war, I could have gone 33 00:01:40,360 --> 00:01:42,360 Speaker 1: at war, but there wasn't. You know. Of course the 34 00:01:42,360 --> 00:01:45,440 Speaker 1: Afghan stuff came after that. But the thing is is 35 00:01:45,480 --> 00:01:48,880 Speaker 1: that we've had a pretty long stretch without really being 36 00:01:49,000 --> 00:01:53,000 Speaker 1: challenged as a nation. And then you know, even some 37 00:01:53,040 --> 00:01:56,280 Speaker 1: people individually, because this was there was a year that 38 00:01:56,840 --> 00:01:58,480 Speaker 1: I don't know how you couldn't have had someone that 39 00:01:58,560 --> 00:02:01,760 Speaker 1: you knew, the someone in your only that was that 40 00:02:01,760 --> 00:02:04,240 Speaker 1: that had COVID nineteen or maybe passed away from it, 41 00:02:04,760 --> 00:02:07,280 Speaker 1: so that that hadn't no necessarily they had you know, 42 00:02:07,480 --> 00:02:12,280 Speaker 1: limited economic barriers in terms of that and then what 43 00:02:12,360 --> 00:02:15,440 Speaker 1: I was I was I was also disappointed because I 44 00:02:15,520 --> 00:02:17,720 Speaker 1: had always said to people, you know, the country was 45 00:02:17,760 --> 00:02:20,359 Speaker 1: so divided. I always said, the only thing that could 46 00:02:20,400 --> 00:02:23,639 Speaker 1: probably ever unite us as a country with an invasion 47 00:02:23,639 --> 00:02:28,080 Speaker 1: by martians. Uh. The number two things would be an 48 00:02:28,120 --> 00:02:32,440 Speaker 1: invasion by a virus, unknown virus that started in a 49 00:02:32,480 --> 00:02:36,359 Speaker 1: different country. And unfortunately number two didn't work. So on 50 00:02:36,360 --> 00:02:38,600 Speaker 1: one hand, I say, we applaud ourselves for making it 51 00:02:38,639 --> 00:02:41,760 Speaker 1: through this. It was very tough, uh, in different ways 52 00:02:41,760 --> 00:02:44,160 Speaker 1: for for different people, but as there's no way you 53 00:02:44,200 --> 00:02:48,280 Speaker 1: didn't come out unscathed somehow, and yet it didn't make 54 00:02:48,360 --> 00:02:50,840 Speaker 1: us more united. In fact, in many ways we're more divided. 55 00:02:50,919 --> 00:02:54,360 Speaker 1: So on an individual level, it's it's let's give ourselves 56 00:02:54,360 --> 00:02:57,800 Speaker 1: around of applause. As a country, we need to probably 57 00:02:57,800 --> 00:03:02,000 Speaker 1: be more introspective and concerned the division. We know a 58 00:03:02,040 --> 00:03:04,320 Speaker 1: lot had to do with our politics, the politics of 59 00:03:04,400 --> 00:03:07,840 Speaker 1: a year, not necessarily the virus, although we saw mayors 60 00:03:07,840 --> 00:03:11,280 Speaker 1: and governors and local officials across the country used it 61 00:03:11,320 --> 00:03:15,080 Speaker 1: as a political weapon for some and some even believed it. 62 00:03:15,160 --> 00:03:17,320 Speaker 1: And you know, we've seen reports on it, reporters saying 63 00:03:17,360 --> 00:03:20,640 Speaker 1: that elected officials were using it to cause a real 64 00:03:20,680 --> 00:03:23,960 Speaker 1: destruction disruption in the election that was going to benefit 65 00:03:24,040 --> 00:03:26,560 Speaker 1: Joe Biden. Do you agree with that assessment. I agree 66 00:03:26,560 --> 00:03:29,200 Speaker 1: with that, and I think even more worrisome than than 67 00:03:29,280 --> 00:03:32,880 Speaker 1: local government officials, they even national no matter who they are, 68 00:03:32,919 --> 00:03:36,800 Speaker 1: because politicians are politicians. I think the worst players in 69 00:03:36,800 --> 00:03:40,120 Speaker 1: this were the media. By far. Was a year of 70 00:03:40,120 --> 00:03:45,840 Speaker 1: the media just removed all pretense of their animosity and 71 00:03:45,960 --> 00:03:48,560 Speaker 1: not an animosity toward President Trump and an animosity toward 72 00:03:48,600 --> 00:03:51,880 Speaker 1: anyone who might admire President Trump, who might have voted 73 00:03:51,920 --> 00:03:55,240 Speaker 1: for President Trump. They removed it. I think it always existed, 74 00:03:55,280 --> 00:03:58,040 Speaker 1: but they removed all pretense and went completely the war 75 00:03:58,800 --> 00:04:01,440 Speaker 1: with those people. And there's a consequence. It made it 76 00:04:01,440 --> 00:04:04,280 Speaker 1: made that nation weaker. You know, every story can't be 77 00:04:04,360 --> 00:04:06,840 Speaker 1: how dumb we are. Oh, everyone's doing the COVID thing 78 00:04:06,920 --> 00:04:09,560 Speaker 1: better than we are then of course. Uh. I saw 79 00:04:09,760 --> 00:04:13,200 Speaker 1: an article today on Japan, you know, and how awful 80 00:04:13,600 --> 00:04:16,440 Speaker 1: COVID has spiked in Japan. There's so much smarter than us, 81 00:04:16,440 --> 00:04:19,599 Speaker 1: because their leaders so much smarter. It's all the self doubt, 82 00:04:19,680 --> 00:04:21,359 Speaker 1: all of this stuff. I mean, we're not gonna know 83 00:04:21,440 --> 00:04:23,640 Speaker 1: all the ins and outs about this whole COVID nineteen 84 00:04:23,960 --> 00:04:26,719 Speaker 1: for many years after it's over. We may learn some 85 00:04:26,800 --> 00:04:29,000 Speaker 1: things that will shock us surprises, we may learn some 86 00:04:29,000 --> 00:04:31,040 Speaker 1: things we thought we're right, we're wrong, and vice versa. 87 00:04:31,360 --> 00:04:33,200 Speaker 1: But the point is, you know, the play by play 88 00:04:33,240 --> 00:04:37,200 Speaker 1: every single day was designed to specifically make anyone who 89 00:04:37,600 --> 00:04:39,920 Speaker 1: didn't think the way that the media thought, or anyone 90 00:04:39,920 --> 00:04:42,360 Speaker 1: who might have given President Trump any credibility at all. 91 00:04:42,880 --> 00:04:44,599 Speaker 1: It was a complete war against them. And you know, 92 00:04:44,640 --> 00:04:47,359 Speaker 1: the irony is a continuous right, So the same people 93 00:04:47,360 --> 00:04:51,599 Speaker 1: that said President Trump was misleading, not smart or whatever 94 00:04:51,640 --> 00:04:53,800 Speaker 1: for even suggesting there could be a vaccine before the 95 00:04:53,880 --> 00:04:55,839 Speaker 1: end of the year are now complaining that is not 96 00:04:55,880 --> 00:05:00,400 Speaker 1: being distributed properly. So it never stops, right, it never so. 97 00:05:00,920 --> 00:05:04,520 Speaker 1: I think the media by far, by far was worse 98 00:05:04,520 --> 00:05:08,840 Speaker 1: than politicians. I come to expect hypocrisy and phoniness from politicians, 99 00:05:09,200 --> 00:05:12,279 Speaker 1: but we saw from the media. It breaks my heart. 100 00:05:12,360 --> 00:05:15,000 Speaker 1: I mean, they went to war with with with people 101 00:05:15,000 --> 00:05:18,200 Speaker 1: who didn't think like them. So the biggest losers was 102 00:05:18,240 --> 00:05:20,719 Speaker 1: the media in your view, I think the American public 103 00:05:20,800 --> 00:05:24,720 Speaker 1: because we were being so we aren't being served by 104 00:05:24,760 --> 00:05:28,680 Speaker 1: these major institutions that we to a degree in power, right, 105 00:05:28,680 --> 00:05:32,840 Speaker 1: we empower these politicians, uh, you know, the media. So 106 00:05:32,920 --> 00:05:34,719 Speaker 1: I think we were losers in that way, but I 107 00:05:34,760 --> 00:05:37,200 Speaker 1: think we were also winners in a sense that from 108 00:05:37,600 --> 00:05:39,880 Speaker 1: what I loved about individuals. And one of the things, 109 00:05:39,920 --> 00:05:43,680 Speaker 1: ironically and even reflected in the stock market was there 110 00:05:43,720 --> 00:05:46,640 Speaker 1: was sort of an internal epiphany I think in America 111 00:05:47,200 --> 00:05:50,840 Speaker 1: that there was a simpler time, a time when we 112 00:05:50,839 --> 00:05:54,280 Speaker 1: were more self reliance. And it really felt like we 113 00:05:54,320 --> 00:05:57,400 Speaker 1: went for that last year, like you know, you know, 114 00:05:57,440 --> 00:06:00,520 Speaker 1: we ran out of Mason jars. In America, people were 115 00:06:00,520 --> 00:06:04,080 Speaker 1: making preservatives. Uh, the people were sew in close, and 116 00:06:04,520 --> 00:06:07,760 Speaker 1: they wanted to move out to into the suburbs or 117 00:06:07,800 --> 00:06:10,360 Speaker 1: out to the country, and they wanted to get a car, 118 00:06:10,480 --> 00:06:13,080 Speaker 1: they wanted to drive themselves. Just there was a sort 119 00:06:13,080 --> 00:06:16,000 Speaker 1: of many independence movement also, and I think that was 120 00:06:16,120 --> 00:06:19,280 Speaker 1: a sort of either direct or indirect rejection of these 121 00:06:19,279 --> 00:06:22,920 Speaker 1: institutions that we had come to think we're on our side, 122 00:06:22,920 --> 00:06:25,160 Speaker 1: and I think many people believe they're not, you know, 123 00:06:25,279 --> 00:06:28,360 Speaker 1: And and that's such an interesting perspective. And to that point, 124 00:06:28,400 --> 00:06:32,040 Speaker 1: I have a friend who had lost her job and 125 00:06:32,120 --> 00:06:34,000 Speaker 1: she was trying to figure out how she was gonna 126 00:06:34,000 --> 00:06:35,960 Speaker 1: make it, and she started a business backup that she 127 00:06:36,040 --> 00:06:39,839 Speaker 1: had previously in healthcare, and she calls me up one day. 128 00:06:39,920 --> 00:06:42,440 Speaker 1: It was a Friday. I remember the day, and she 129 00:06:42,600 --> 00:06:44,800 Speaker 1: was crying and I said, what's going on, what's wrong? 130 00:06:44,839 --> 00:06:46,120 Speaker 1: And she said, I just want to thank you for 131 00:06:46,160 --> 00:06:49,360 Speaker 1: always being a listening year and supporting me because you're 132 00:06:49,400 --> 00:06:52,520 Speaker 1: looking at one of America's newest millionaires or rather talking 133 00:06:52,520 --> 00:06:54,600 Speaker 1: to and I was like wow, And it was just 134 00:06:54,720 --> 00:06:56,640 Speaker 1: it was just that determination that there was so much 135 00:06:56,640 --> 00:06:59,120 Speaker 1: opportunity out here and you had no choice. You couldn't 136 00:06:59,400 --> 00:07:01,360 Speaker 1: rely on the ever meant to save You couldn't rely 137 00:07:01,520 --> 00:07:03,960 Speaker 1: on getting a new job because a lot of corporations 138 00:07:03,960 --> 00:07:06,400 Speaker 1: were slashing jobs left and right, so many people unemployed. 139 00:07:06,640 --> 00:07:10,080 Speaker 1: But then that's an ingenuity where someone says, here's an opportunity, 140 00:07:10,120 --> 00:07:12,240 Speaker 1: I'm gonna go after it with everything within me. So 141 00:07:12,280 --> 00:07:14,720 Speaker 1: I think that's great, and that's one of the best 142 00:07:14,760 --> 00:07:16,720 Speaker 1: things that came out of last year for so many people. 143 00:07:16,760 --> 00:07:19,920 Speaker 1: I think I haven't looked in a two months, uh, 144 00:07:20,000 --> 00:07:22,080 Speaker 1: you know, because the data is a little bit delayed, 145 00:07:22,080 --> 00:07:26,560 Speaker 1: but the number of entrepreneurs created in was mind bottling. 146 00:07:27,320 --> 00:07:31,160 Speaker 1: It was absolutely mind bottling. The amount of people and again, 147 00:07:31,200 --> 00:07:33,160 Speaker 1: a lot of them had to write. You know, they 148 00:07:33,200 --> 00:07:34,600 Speaker 1: a lot of them have their back to the wall. 149 00:07:34,640 --> 00:07:36,280 Speaker 1: But I think a lot of people also said, this 150 00:07:36,360 --> 00:07:39,320 Speaker 1: is my chance to go ahead, and and and you know, 151 00:07:39,400 --> 00:07:43,640 Speaker 1: because the concept of waiting, the concept of comfort, all 152 00:07:43,720 --> 00:07:46,600 Speaker 1: those things were pushed aside. All those things that allow 153 00:07:46,720 --> 00:07:50,400 Speaker 1: us to procrastinate actually were raced. And if you really 154 00:07:50,440 --> 00:07:53,280 Speaker 1: wanted to do something and you kept putting it off, 155 00:07:53,720 --> 00:07:55,520 Speaker 1: then you finally said I'm gonna do it. If you 156 00:07:55,560 --> 00:07:58,640 Speaker 1: really wanted to try something, but you were kind of comfortable, 157 00:07:59,360 --> 00:08:01,440 Speaker 1: you know, every now and then you get upset with 158 00:08:01,480 --> 00:08:03,400 Speaker 1: the boss and say, for for sure, this time I'm 159 00:08:03,400 --> 00:08:05,840 Speaker 1: putting and I'm gonna start my own business. Something may 160 00:08:05,880 --> 00:08:08,000 Speaker 1: have happened on the next week, and you know, you 161 00:08:08,400 --> 00:08:11,360 Speaker 1: put it off. Everything those things that we were putting off, 162 00:08:11,360 --> 00:08:14,520 Speaker 1: those things we were allowed to procrastinate, were made easier. 163 00:08:15,200 --> 00:08:18,720 Speaker 1: And the same thing with the stock marketing. Millions, millions, 164 00:08:18,880 --> 00:08:22,240 Speaker 1: millions of people created stock market accounts last year, millions. 165 00:08:22,320 --> 00:08:25,239 Speaker 1: And the beautiful thing is they did better than wall streets. 166 00:08:26,480 --> 00:08:29,000 Speaker 1: It was really it was just time people took control 167 00:08:29,080 --> 00:08:31,560 Speaker 1: of their lives, you know. And I love it. I 168 00:08:31,640 --> 00:08:34,319 Speaker 1: just love when people pull themselves up by their own bootstraps, 169 00:08:34,320 --> 00:08:36,800 Speaker 1: and they're no longer afraid or their backs have been 170 00:08:36,920 --> 00:08:38,520 Speaker 1: even if their backs have been pushed against the wall, 171 00:08:38,520 --> 00:08:40,600 Speaker 1: and they felt like there was the only alternative they had, 172 00:08:40,840 --> 00:08:43,000 Speaker 1: they did it and that was important. And I think 173 00:08:43,040 --> 00:08:44,720 Speaker 1: that's the key word. When a person feels like they 174 00:08:44,800 --> 00:08:47,400 Speaker 1: have no no choice. That's I think when a lot 175 00:08:47,400 --> 00:08:50,320 Speaker 1: of people truly succeed. Sticking with the main headline of 176 00:08:51,000 --> 00:08:55,160 Speaker 1: which was coronavirus pandemic and latest COVID relief package, which 177 00:08:55,240 --> 00:08:57,920 Speaker 1: is now law, told us about nine billion and include 178 00:08:57,960 --> 00:09:01,840 Speaker 1: six hundred dollars stimulus checks to millions of Americans. However, 179 00:09:01,920 --> 00:09:04,560 Speaker 1: President Trump, many Democrats, and some Republicans want to increase 180 00:09:04,640 --> 00:09:08,040 Speaker 1: checks to two thousand dollars, but Senate Majority Leader Mitch 181 00:09:08,080 --> 00:09:10,520 Speaker 1: McConnell has blocked the bill. And we know he's saying 182 00:09:10,520 --> 00:09:13,520 Speaker 1: that there's no realistic path. And honestly, and you know 183 00:09:13,600 --> 00:09:15,120 Speaker 1: we've been on there and we've talked about it, I 184 00:09:15,160 --> 00:09:17,880 Speaker 1: think Republicans have become derelict and their duties to the 185 00:09:17,880 --> 00:09:20,760 Speaker 1: American people. This isn't welfare, this is their tax dollars. 186 00:09:20,760 --> 00:09:23,920 Speaker 1: There should go back to them three trillion dollars and 187 00:09:24,040 --> 00:09:27,960 Speaker 1: taxes collected and payroll, income tax, and corporate tax every year. 188 00:09:28,360 --> 00:09:30,960 Speaker 1: And yet two thousand dollars, according to Mitch McConnell, is 189 00:09:31,000 --> 00:09:34,280 Speaker 1: too much and is somehow socialism when you've got people 190 00:09:34,440 --> 00:09:37,160 Speaker 1: truly struggling and this is their money, This is no one, 191 00:09:37,360 --> 00:09:39,560 Speaker 1: no one's asking for a hand out. Nothing like this 192 00:09:39,600 --> 00:09:41,320 Speaker 1: has ever happened in this country. How dare you not 193 00:09:41,480 --> 00:09:44,120 Speaker 1: give the American people their money back? And I think 194 00:09:44,160 --> 00:09:47,600 Speaker 1: the Republicans have really disgraced themselves in this moment. A 195 00:09:47,640 --> 00:09:49,200 Speaker 1: lot of them have, but you know a lot of 196 00:09:49,200 --> 00:09:51,080 Speaker 1: them have been waiting for this moment. You know, let's 197 00:09:51,080 --> 00:09:55,240 Speaker 1: face it, there the establishment, a few of them, we're 198 00:09:55,280 --> 00:09:58,120 Speaker 1: so disgruntled that they, you know, either wrote books or 199 00:09:58,240 --> 00:10:01,160 Speaker 1: went often created things like the Link and Project. And 200 00:10:01,200 --> 00:10:03,760 Speaker 1: then some of them hunk tough to get what they 201 00:10:03,800 --> 00:10:08,000 Speaker 1: could out of the President Trump, Supreme Court justices, federal judges, 202 00:10:08,360 --> 00:10:12,480 Speaker 1: removal regulations, lower taxes. So some played the game. Uh, 203 00:10:12,559 --> 00:10:14,080 Speaker 1: and now of course they feel like they don't have 204 00:10:14,120 --> 00:10:17,280 Speaker 1: to play the game anymore. But here's what they're missing. 205 00:10:17,880 --> 00:10:21,680 Speaker 1: The voters, Republican voters have already designed it. And this 206 00:10:21,760 --> 00:10:24,840 Speaker 1: whole longing, this whole longing for you know, this sort 207 00:10:24,880 --> 00:10:29,720 Speaker 1: of quasi intellectual establishment Republicans that ran everything for a 208 00:10:29,760 --> 00:10:32,280 Speaker 1: long time is over, and I hope it stays over. 209 00:10:32,640 --> 00:10:35,800 Speaker 1: Republican voters, just like Democratic voters for years, voted against 210 00:10:35,800 --> 00:10:39,640 Speaker 1: their own self interests. They voted for years in ways 211 00:10:39,679 --> 00:10:42,920 Speaker 1: that are rich the ultimate folks, the riches of the rich. 212 00:10:43,280 --> 00:10:45,640 Speaker 1: They voted in ways that actually helped to send their 213 00:10:45,720 --> 00:10:49,360 Speaker 1: jobs overseas. They voted in ways that actually, you know, 214 00:10:49,640 --> 00:10:53,000 Speaker 1: help their communities become drug written. They voted against their 215 00:10:53,000 --> 00:10:57,000 Speaker 1: own self interests. And and mostly out of following taglines, hey, 216 00:10:57,080 --> 00:11:01,040 Speaker 1: that's free market principles. What the hell is that? And 217 00:11:01,120 --> 00:11:05,000 Speaker 1: so the same way that Democrats, Democrat voters vote against 218 00:11:05,040 --> 00:11:09,600 Speaker 1: ceneral self interests for decades, Republican voters have and they 219 00:11:09,640 --> 00:11:12,160 Speaker 1: had an epiphany. And what I'm praying is that it 220 00:11:12,200 --> 00:11:16,240 Speaker 1: doesn't fade away. And this move by Ms McConnell is 221 00:11:16,400 --> 00:11:20,600 Speaker 1: so confusing, it's so it's so heartbreaking, and for him 222 00:11:20,640 --> 00:11:24,400 Speaker 1: to use the term socialism, I'm so confused by that. 223 00:11:24,679 --> 00:11:27,520 Speaker 1: You know, again, it is means tests that. In other words, 224 00:11:27,559 --> 00:11:30,200 Speaker 1: if you at seventy five dollars, it's it starts to 225 00:11:30,200 --> 00:11:34,480 Speaker 1: go away. And ninety ninety thousand goes away completely. So 226 00:11:34,559 --> 00:11:36,600 Speaker 1: it's means tests that you know, I'm not I wouldn't 227 00:11:36,600 --> 00:11:38,680 Speaker 1: get a check. And here's the irony when you go 228 00:11:38,800 --> 00:11:42,120 Speaker 1: through those fifty six hundred pages, there are things in 229 00:11:42,160 --> 00:11:46,840 Speaker 1: there that benefit very rich people. Very rich people, by 230 00:11:46,880 --> 00:11:49,360 Speaker 1: the way, who took a big chunk of the p 231 00:11:49,520 --> 00:11:54,160 Speaker 1: p P program. One percent of the recipients got the money. 232 00:11:54,440 --> 00:11:57,320 Speaker 1: There were billionaires who were able to have each individual 233 00:11:57,360 --> 00:12:02,280 Speaker 1: franchise location up their billion all our operation get money. 234 00:12:02,480 --> 00:12:04,400 Speaker 1: And oh, by the way, in this new bill, they 235 00:12:04,440 --> 00:12:06,719 Speaker 1: get to not only not pay it back, they get 236 00:12:06,760 --> 00:12:08,760 Speaker 1: to take a tax break on any costs that were 237 00:12:08,760 --> 00:12:12,400 Speaker 1: associated with getting the money. So so if I hired 238 00:12:12,480 --> 00:12:15,000 Speaker 1: someone or I kept someone on a bought a new laptop, 239 00:12:15,080 --> 00:12:18,720 Speaker 1: I can write that off. So the billionaires that that 240 00:12:18,800 --> 00:12:22,400 Speaker 1: Ms McConnell is protecting, they are actually making money. You 241 00:12:22,400 --> 00:12:26,480 Speaker 1: want to talk about corporate chrony ism, corporate socialism, that's 242 00:12:26,520 --> 00:12:28,560 Speaker 1: the kind of thing that's disgusting. That's the kind of 243 00:12:28,559 --> 00:12:31,760 Speaker 1: thing that that makes the Republican Party weaker and gives 244 00:12:31,840 --> 00:12:34,439 Speaker 1: ALC a larger platform to to to to talk from 245 00:12:34,480 --> 00:12:37,360 Speaker 1: because it is a legitimate great I mean, I thought 246 00:12:37,360 --> 00:12:40,599 Speaker 1: he would at least wait until the dust settled to 247 00:12:40,679 --> 00:12:43,959 Speaker 1: show his true colors. But to do it now unless 248 00:12:44,120 --> 00:12:46,319 Speaker 1: you know, listen, maybe he's playing some form of chess 249 00:12:46,320 --> 00:12:49,400 Speaker 1: I've never seen before, and and maybe at the last 250 00:12:49,400 --> 00:12:51,040 Speaker 1: minute it would be sort of like you know, the 251 00:12:51,080 --> 00:12:52,920 Speaker 1: old Greek plays. I don't know how to say an 252 00:12:52,920 --> 00:12:55,400 Speaker 1: a latinists do ask mccanna something like that that goes 253 00:12:55,480 --> 00:12:57,679 Speaker 1: to the machine, you know, the old Greek plays, and 254 00:12:57,840 --> 00:12:59,719 Speaker 1: that that at the very end it looked like it 255 00:12:59,760 --> 00:13:02,080 Speaker 1: could happen, and then they they have a guy on 256 00:13:02,120 --> 00:13:03,880 Speaker 1: a love you on a rope come down right and 257 00:13:03,920 --> 00:13:05,720 Speaker 1: save the day. And the whole thing has been the 258 00:13:05,720 --> 00:13:08,840 Speaker 1: basis of of plays in theater for forever. You know, 259 00:13:08,880 --> 00:13:11,880 Speaker 1: I guess maybe who knows, Maybe on January four, a 260 00:13:11,960 --> 00:13:14,720 Speaker 1: ghost will come out the machine and Ms McConnell will 261 00:13:14,720 --> 00:13:16,920 Speaker 1: be holding the rope and somehow I won't say, oh 262 00:13:16,960 --> 00:13:24,719 Speaker 1: my god, he's brilliant, brilliant. It does care, but I 263 00:13:24,800 --> 00:13:27,720 Speaker 1: don't I don't think it did happen. Yeah, I agree, 264 00:13:27,760 --> 00:13:29,880 Speaker 1: I don't think that that's gonna happen either. And you 265 00:13:29,920 --> 00:13:32,000 Speaker 1: know what's so interesting about it is part of the 266 00:13:32,040 --> 00:13:35,440 Speaker 1: reason that Trump was so successful in sixteen is because 267 00:13:35,480 --> 00:13:37,880 Speaker 1: he was raising issues that we often talked about at 268 00:13:37,880 --> 00:13:41,640 Speaker 1: our kitchen table with politicians, whether they be Democrats and Republicans. 269 00:13:41,800 --> 00:13:44,120 Speaker 1: I mean maybe a Bernie Sanders to a degree. I 270 00:13:44,200 --> 00:13:47,559 Speaker 1: talked about jobs going overseas. Uh, we gotta take care 271 00:13:47,559 --> 00:13:50,120 Speaker 1: of America first, and all these different things. But what 272 00:13:50,200 --> 00:13:53,360 Speaker 1: we see in this this latest bill is Americans aren't 273 00:13:53,360 --> 00:13:56,280 Speaker 1: being taken care of first. It's that exact opposite. And 274 00:13:56,360 --> 00:13:59,280 Speaker 1: you know, to the point of the seventy five thousand dollars, 275 00:13:59,280 --> 00:14:02,280 Speaker 1: the ninety thousand dollars in terms of the means test, 276 00:14:02,920 --> 00:14:06,000 Speaker 1: what I have a big issue with is if last 277 00:14:06,080 --> 00:14:08,960 Speaker 1: year I made ninety thousand dollars a hundred thousand, a 278 00:14:09,040 --> 00:14:12,880 Speaker 1: million dollars, but this year I'm broke, Uh, What's what's 279 00:14:12,880 --> 00:14:14,600 Speaker 1: the point? Like, why am I being counted out of 280 00:14:14,679 --> 00:14:17,000 Speaker 1: out of this? But yet, as you mentioned, so many 281 00:14:17,000 --> 00:14:20,880 Speaker 1: of these billionaires, in big time guys who somehow made 282 00:14:20,920 --> 00:14:23,880 Speaker 1: more money in this economy, they're being well taken care of. 283 00:14:23,960 --> 00:14:26,720 Speaker 1: It is really a disgraces, is what I think. Now. 284 00:14:26,760 --> 00:14:28,880 Speaker 1: I agree you can't use the two thousand and nineteen 285 00:14:28,880 --> 00:14:31,440 Speaker 1: tax returns to the two thousand and eighteen tax returns 286 00:14:31,480 --> 00:14:35,000 Speaker 1: because things have changed dramatically, and and ultimately the bottom 287 00:14:35,000 --> 00:14:38,080 Speaker 1: line is it's it's just not a realistic It's just 288 00:14:38,120 --> 00:14:41,320 Speaker 1: not realistic. Who was it? Another Republican senator tweeted the 289 00:14:41,360 --> 00:14:44,440 Speaker 1: other day, Ron Johnson, I think someone I got so upset. 290 00:14:44,440 --> 00:14:46,880 Speaker 1: I tweeted back at him, and you know, he was 291 00:14:46,960 --> 00:14:51,080 Speaker 1: complaining about the first stimulus package, and he says, well, 292 00:14:51,120 --> 00:14:52,760 Speaker 1: you know, a lot of money went to savings, a 293 00:14:52,760 --> 00:14:54,680 Speaker 1: lot of money went to pay down bills, so people 294 00:14:54,680 --> 00:14:56,720 Speaker 1: didn't spend the money. So it was a failure. And 295 00:14:56,760 --> 00:14:58,960 Speaker 1: I'm sating to myself, is this guy? Is he? What 296 00:14:59,080 --> 00:15:01,280 Speaker 1: the hell are you know? Uh? I think my tweet 297 00:15:01,280 --> 00:15:03,160 Speaker 1: went something along the line, we are not, you know, 298 00:15:03,280 --> 00:15:06,560 Speaker 1: working blind working. It's right like. And here's the thing. 299 00:15:06,920 --> 00:15:10,400 Speaker 1: From an economic point of view, I love that. I 300 00:15:10,520 --> 00:15:13,400 Speaker 1: love to see households pay down their debt. I love 301 00:15:13,440 --> 00:15:15,760 Speaker 1: to see them put money in savings. That means that 302 00:15:15,840 --> 00:15:18,960 Speaker 1: they have a stronger balance sheet coming into the new year. 303 00:15:19,040 --> 00:15:21,320 Speaker 1: And you know what eventually happens with that strong balance sheet. 304 00:15:21,800 --> 00:15:24,840 Speaker 1: So'll buy a house, right, they'll buy a car, They'll 305 00:15:24,880 --> 00:15:28,120 Speaker 1: make an investment. I mean this whole idea. He sounded 306 00:15:28,120 --> 00:15:30,280 Speaker 1: more like Nancy Pelosi, a few years ago when she 307 00:15:30,360 --> 00:15:34,720 Speaker 1: was arguing for for welfare payments and food stamps and 308 00:15:34,560 --> 00:15:38,080 Speaker 1: and expanding those programs, she said they had a multiplier effect. 309 00:15:38,320 --> 00:15:40,320 Speaker 1: And here's the thing. No one got offended, right, No, no, 310 00:15:40,320 --> 00:15:42,120 Speaker 1: nobody who was the recipient of it. But she was 311 00:15:42,200 --> 00:15:44,240 Speaker 1: more or less saying, if you give poor people a 312 00:15:44,280 --> 00:15:46,720 Speaker 1: dollar and food sam still spend a buck fifty, right, 313 00:15:46,760 --> 00:15:49,800 Speaker 1: So had a multiplier effect. And so Ron Johnson it 314 00:15:49,840 --> 00:15:51,800 Speaker 1: sounds like the same thing, like he just wants people 315 00:15:51,800 --> 00:15:54,360 Speaker 1: to be dumb. Okay, you know, you give me a 316 00:15:54,360 --> 00:15:56,040 Speaker 1: buck and I'll go out and spend a buck fifty up, 317 00:15:56,040 --> 00:15:57,720 Speaker 1: put a dollar fifty on my credit card for every 318 00:15:57,760 --> 00:15:59,760 Speaker 1: dollar you give me. You know, I let the American 319 00:15:59,800 --> 00:16:02,040 Speaker 1: people would be smart. I thought it was brilliant what 320 00:16:02,120 --> 00:16:04,960 Speaker 1: they did. We saw a bit of v shape recovery 321 00:16:05,120 --> 00:16:08,560 Speaker 1: after that money went out in every single sector. We 322 00:16:08,600 --> 00:16:12,920 Speaker 1: saw it all across the board everywhere. And and so 323 00:16:12,960 --> 00:16:15,760 Speaker 1: what you know, let them if somebody can pay down 324 00:16:15,800 --> 00:16:18,320 Speaker 1: their bills right now, that's what I want them to do. 325 00:16:18,400 --> 00:16:20,320 Speaker 1: I don't want them to go out and and and 326 00:16:20,480 --> 00:16:23,720 Speaker 1: go on a shopping spree because I know ultimately, ultimately 327 00:16:24,200 --> 00:16:26,440 Speaker 1: that money will circulate in the economy in a smart 328 00:16:26,480 --> 00:16:29,720 Speaker 1: way that would benefit those households so that they can 329 00:16:29,760 --> 00:16:32,400 Speaker 1: actually enrich themselves in their families in the long term 330 00:16:32,720 --> 00:16:35,040 Speaker 1: and not just be pawns of a government that wants 331 00:16:35,080 --> 00:16:38,400 Speaker 1: them iniferlate them. Yeah, speaking of the economy, we gotta 332 00:16:38,440 --> 00:16:40,440 Speaker 1: go to the quick break to pay our bills. But 333 00:16:40,520 --> 00:16:45,080 Speaker 1: we'll continue this conversation after the break and looking at 334 00:16:45,080 --> 00:16:47,640 Speaker 1: the economic fallout of the coronavirus. More broadly, what are 335 00:16:47,680 --> 00:16:49,800 Speaker 1: your thoughts on the lockdowns to so many Americans have 336 00:16:49,920 --> 00:16:52,840 Speaker 1: endured where they are mistake and how do you know 337 00:16:52,880 --> 00:16:55,240 Speaker 1: we weigh the public health versus the economic well being 338 00:16:55,280 --> 00:16:59,200 Speaker 1: of individuals? Well, I think that draconian the ham fistedness 339 00:16:59,200 --> 00:17:02,480 Speaker 1: of the lockdown are definitely a mistake. And and that's 340 00:17:02,520 --> 00:17:04,400 Speaker 1: one of the things that even now in real time 341 00:17:04,440 --> 00:17:07,800 Speaker 1: you can kind of you can see things. Uh, the 342 00:17:07,880 --> 00:17:11,119 Speaker 1: states with the highest unemployment are the states with the 343 00:17:11,119 --> 00:17:14,320 Speaker 1: most Dreconian dropped lockdown rules are the states with the 344 00:17:14,320 --> 00:17:17,600 Speaker 1: most deaths are the states where people are leaving. It's 345 00:17:17,600 --> 00:17:20,119 Speaker 1: something that is not adding up right, I Mean it's like, okay, 346 00:17:20,160 --> 00:17:23,240 Speaker 1: so if you've had us on these tough lockdowns for 347 00:17:23,320 --> 00:17:26,040 Speaker 1: this long and our cases are still where they are 348 00:17:26,720 --> 00:17:28,960 Speaker 1: a place like New York State, which is number number 349 00:17:28,960 --> 00:17:33,000 Speaker 1: two in depths per capita, you know, per one hundred thousand, 350 00:17:33,640 --> 00:17:37,359 Speaker 1: uh number number two, and unemployment. People are fleeing, people 351 00:17:37,359 --> 00:17:41,200 Speaker 1: are hopeless, people are committing suicide, people are depressed. There 352 00:17:41,200 --> 00:17:43,720 Speaker 1: had to be a smarter, smarter way about this, and 353 00:17:43,760 --> 00:17:46,320 Speaker 1: I think ultimately a lot of it has to do 354 00:17:46,400 --> 00:17:49,280 Speaker 1: with just letting people saying, listen, we trust you'll do 355 00:17:49,320 --> 00:17:52,240 Speaker 1: the right thing, but we have to learn how to 356 00:17:52,440 --> 00:17:55,199 Speaker 1: live with this because we want to live. You know, 357 00:17:55,240 --> 00:17:58,880 Speaker 1: it's like the British and World War Two. The bombings 358 00:17:58,880 --> 00:18:00,480 Speaker 1: will comb they you know, the go down in the 359 00:18:00,560 --> 00:18:03,080 Speaker 1: subways wherever they were, and when when they weren't around, 360 00:18:03,119 --> 00:18:04,600 Speaker 1: they got up and wouldn't work. Now, I know it's 361 00:18:04,600 --> 00:18:08,160 Speaker 1: a different kind of thing, but you're living for something, 362 00:18:09,280 --> 00:18:11,399 Speaker 1: and again it's one of these things. I think when 363 00:18:11,440 --> 00:18:13,760 Speaker 1: we do all the final analysis, we're going to find 364 00:18:13,760 --> 00:18:16,520 Speaker 1: out that some of these lockdown measures were just far 365 00:18:16,600 --> 00:18:20,479 Speaker 1: to draconian. Some of them were seemed tunitive. You know, 366 00:18:20,720 --> 00:18:23,879 Speaker 1: if New York City says that restaurants are responsible from 367 00:18:23,880 --> 00:18:27,159 Speaker 1: one point four three percent a coronavirus spread, then why 368 00:18:27,200 --> 00:18:29,480 Speaker 1: would they be closed. And by the way of that 369 00:18:29,560 --> 00:18:32,760 Speaker 1: one point for three percent, overwhelmingly that's employee to employee, 370 00:18:33,119 --> 00:18:35,600 Speaker 1: Then why would you close them? You know? And so 371 00:18:36,600 --> 00:18:39,520 Speaker 1: there's just been no rhyme or reason. The children, you know, 372 00:18:39,560 --> 00:18:43,399 Speaker 1: the children transmitting to adults, it's just so low. You know, 373 00:18:43,480 --> 00:18:45,679 Speaker 1: you start to get into numbers that you have an 374 00:18:45,680 --> 00:18:48,399 Speaker 1: easier chance of getting hit in the head by branches 375 00:18:48,400 --> 00:18:50,520 Speaker 1: falling off retreat, you know, when you start to get 376 00:18:50,600 --> 00:18:53,439 Speaker 1: very granul granular with some of this stuff. We know 377 00:18:53,480 --> 00:18:55,600 Speaker 1: how deadly it is. But I can tell you firsthand 378 00:18:55,920 --> 00:19:01,080 Speaker 1: the psychological, economic, and even physical toll from the lockdowns 379 00:19:01,640 --> 00:19:05,040 Speaker 1: has been underappreciated by the people in power. And it's 380 00:19:05,119 --> 00:19:07,800 Speaker 1: unfortunate because it has been. It's in and of itself, 381 00:19:07,840 --> 00:19:11,879 Speaker 1: it has been a killer. Yeah, I absolutely agree with that. 382 00:19:12,000 --> 00:19:14,480 Speaker 1: And I think you see New York State in California 383 00:19:14,480 --> 00:19:16,639 Speaker 1: and you see how restrictive they are and how people 384 00:19:16,640 --> 00:19:18,840 Speaker 1: are flowing out to Florida, which is where I am 385 00:19:18,920 --> 00:19:21,320 Speaker 1: right now, and they the governor RHNDA sent and said, hey, 386 00:19:21,320 --> 00:19:23,840 Speaker 1: we're gonna keep things open here because poverty kills too. 387 00:19:24,080 --> 00:19:26,080 Speaker 1: And that's such an important message that I think a 388 00:19:26,119 --> 00:19:30,680 Speaker 1: lot of these politicians have forgot isolation kills also absolutely 389 00:19:31,400 --> 00:19:34,399 Speaker 1: now it's it's easy to forget that. Before the coronavirus hit, 390 00:19:34,440 --> 00:19:37,359 Speaker 1: the U s was enjoying a great economy under President Trump. 391 00:19:37,560 --> 00:19:40,680 Speaker 1: Economic growth was strong and consistent, while unemployment was low. 392 00:19:41,000 --> 00:19:44,360 Speaker 1: The lowis on record for Blacks hispanics. Can you discuss 393 00:19:44,359 --> 00:19:46,560 Speaker 1: how strong the economy was and why I was doing 394 00:19:46,600 --> 00:19:49,040 Speaker 1: so well? Which policies of the Trump administration was, you know, 395 00:19:49,119 --> 00:19:52,120 Speaker 1: most effective and should be continued if you know there 396 00:19:52,160 --> 00:19:54,440 Speaker 1: was actually an opportunity. We know Joe Biden's taken offer. 397 00:19:54,520 --> 00:19:58,320 Speaker 1: So what do you think first and foremost? When it 398 00:19:58,359 --> 00:20:01,399 Speaker 1: comes to unemployment in the ployment rate, people need to 399 00:20:01,480 --> 00:20:04,600 Speaker 1: understand there are six ways of measuring that by the 400 00:20:04,640 --> 00:20:07,840 Speaker 1: Bureau of Labor Statistics. The one that the media uses 401 00:20:07,960 --> 00:20:11,000 Speaker 1: is called the youth three. And I have some problems 402 00:20:11,040 --> 00:20:14,400 Speaker 1: with the youth three because when people leave the labor force, 403 00:20:14,440 --> 00:20:18,480 Speaker 1: they're no longer counted. And so when President Obama says 404 00:20:18,520 --> 00:20:21,240 Speaker 1: the unemployment went down into his watch, it didn't really 405 00:20:21,240 --> 00:20:24,639 Speaker 1: go down. You have millions upon millions upon millions of 406 00:20:24,680 --> 00:20:27,320 Speaker 1: people who gave up so they were no longer counted. 407 00:20:28,080 --> 00:20:30,160 Speaker 1: You know, Jiano, if if you and I and and 408 00:20:30,160 --> 00:20:31,720 Speaker 1: and some friends. If ten of us are on a 409 00:20:31,800 --> 00:20:35,359 Speaker 1: ship and we got stuck on a deserted island and 410 00:20:35,400 --> 00:20:37,040 Speaker 1: we said we're not we're not sure when we're gonna 411 00:20:37,080 --> 00:20:39,760 Speaker 1: be Um, you know when we're gonna be rescued. So 412 00:20:39,880 --> 00:20:42,280 Speaker 1: let's all divvy up some chores and do some things, 413 00:20:43,000 --> 00:20:45,600 Speaker 1: and and then you know, all of his works, so 414 00:20:45,960 --> 00:20:48,520 Speaker 1: you have full employment after a few weeks. If someone 415 00:20:48,560 --> 00:20:50,680 Speaker 1: and a couple of guys got discouraged and says, well, 416 00:20:51,040 --> 00:20:53,840 Speaker 1: you know what, you know, we're not gonna work, and 417 00:20:53,880 --> 00:20:56,679 Speaker 1: so now you have eight people working, the federal government 418 00:20:56,720 --> 00:21:00,439 Speaker 1: will still say you had full employment because though you know, 419 00:21:00,480 --> 00:21:02,679 Speaker 1: two of them weren't working because the other two have 420 00:21:02,800 --> 00:21:06,520 Speaker 1: just dropped out of the labor force. So now there's 421 00:21:06,560 --> 00:21:09,400 Speaker 1: another way that happens is you know, there's an authentic 422 00:21:09,440 --> 00:21:12,040 Speaker 1: way when people more people get jobs. And the reason 423 00:21:12,080 --> 00:21:13,840 Speaker 1: I will have to bring that up is because when 424 00:21:13,840 --> 00:21:16,719 Speaker 1: you have this discussion, someone invariably says, well, unemployment went 425 00:21:16,760 --> 00:21:19,159 Speaker 1: down under Obama, it went down in the Trump in 426 00:21:19,160 --> 00:21:22,439 Speaker 1: a different way. More people came back to the labor 427 00:21:22,480 --> 00:21:25,960 Speaker 1: force and got jobs. That is what happened, and that 428 00:21:26,200 --> 00:21:29,359 Speaker 1: is so critical for everyone to understand it wasn't that 429 00:21:30,040 --> 00:21:33,320 Speaker 1: people left and were no longer counted. Millions of people 430 00:21:33,400 --> 00:21:36,560 Speaker 1: came back to the labor force and they got jobs, 431 00:21:37,200 --> 00:21:41,120 Speaker 1: and then the unemployment gap between blacks and whites narrowed 432 00:21:41,119 --> 00:21:44,600 Speaker 1: to as smallest smallest ratio, it's smallest gap ever in 433 00:21:44,600 --> 00:21:48,480 Speaker 1: November two thousand and nineteen, coming into two thousand and nineteen. 434 00:21:48,920 --> 00:21:51,400 Speaker 1: Poverty rates for Blacks and Hispanics who are at an 435 00:21:51,400 --> 00:21:58,040 Speaker 1: all time low and all time low coming into two 436 00:21:58,080 --> 00:22:01,480 Speaker 1: thousand and twenty, coming into in two thousand and twenty, 437 00:22:01,680 --> 00:22:05,360 Speaker 1: Monthly wages versus a year earlier, we're averaging well over 438 00:22:05,440 --> 00:22:08,159 Speaker 1: three about three point four percent. Three point four or 439 00:22:08,160 --> 00:22:11,400 Speaker 1: five percent for blue collar workers doesn't sound like a lot. 440 00:22:11,680 --> 00:22:15,480 Speaker 1: It hadn't been done for over a decade. For over 441 00:22:15,520 --> 00:22:20,840 Speaker 1: a decade, wages were outpacing inflation. Home ownership at this 442 00:22:20,960 --> 00:22:23,960 Speaker 1: very moment, Hispanic homeownership is the highest it's ever been. 443 00:22:24,560 --> 00:22:27,040 Speaker 1: Black homeownership is the highest as it was since I 444 00:22:27,040 --> 00:22:30,240 Speaker 1: think two thousand and eight, right now, even after during 445 00:22:30,240 --> 00:22:33,720 Speaker 1: the pandemic. So the point is, we were an economic juggernaut. 446 00:22:34,440 --> 00:22:37,520 Speaker 1: We were an economic juggernaut. And here's an interesting thing. 447 00:22:37,560 --> 00:22:39,600 Speaker 1: The two things that were kind of slowed down a 448 00:22:39,640 --> 00:22:43,160 Speaker 1: little bit late last year, household formation a little bit, 449 00:22:44,000 --> 00:22:47,520 Speaker 1: and manufacturing a little bit. The first two months three 450 00:22:47,520 --> 00:22:51,520 Speaker 1: months of the year, they became juggernauts. So that's what 451 00:22:51,560 --> 00:22:54,760 Speaker 1: you call in financial terms. Those were those are headwinds, 452 00:22:55,320 --> 00:22:57,080 Speaker 1: because you know they were gone in they're kind of 453 00:22:57,080 --> 00:23:00,320 Speaker 1: pushing us back. They actually became tell winds. We were 454 00:23:00,320 --> 00:23:04,000 Speaker 1: firing on all cylinders. I think would have been an 455 00:23:04,000 --> 00:23:08,320 Speaker 1: economic year unlike anyone alive had ever seen. We were 456 00:23:08,359 --> 00:23:10,080 Speaker 1: that much of a juggernaut. And that, by the way, 457 00:23:10,160 --> 00:23:11,600 Speaker 1: is one of the reasons why we did have a 458 00:23:11,680 --> 00:23:13,880 Speaker 1: V shaped recovery, because some of that was muscle memory, 459 00:23:14,000 --> 00:23:16,719 Speaker 1: some of that was momentum that was still in play. 460 00:23:16,960 --> 00:23:18,679 Speaker 1: And then I think we could pick back up on 461 00:23:18,720 --> 00:23:22,040 Speaker 1: that if if some of these regulations, if not too 462 00:23:22,040 --> 00:23:23,399 Speaker 1: many of them are races. We know a lot of 463 00:23:23,440 --> 00:23:26,040 Speaker 1: them will be. Certainly we don't want the tax policies 464 00:23:26,040 --> 00:23:29,080 Speaker 1: erased or reversed. But then there's this one thing called 465 00:23:29,119 --> 00:23:33,400 Speaker 1: animal spirits, and it's real, and it's just an enthusiasm 466 00:23:33,440 --> 00:23:38,359 Speaker 1: generating more enthusiasm, and it can be an amazing, an 467 00:23:38,400 --> 00:23:42,320 Speaker 1: amazing virtue as cycle. And that happened immediately upon the 468 00:23:42,359 --> 00:23:45,360 Speaker 1: election of President Trump. You go back to November two 469 00:23:45,359 --> 00:23:49,919 Speaker 1: thousand and sixteen, immediately small business optimism, it had the 470 00:23:49,920 --> 00:23:53,440 Speaker 1: biggest one month jump in history. A month after the election. 471 00:23:53,720 --> 00:23:57,680 Speaker 1: The National Association of home Builders, their data went through 472 00:23:57,720 --> 00:24:01,040 Speaker 1: the roof traffic for homes UH and positive after being 473 00:24:01,040 --> 00:24:05,280 Speaker 1: negative for over a decade. It happened instantaneously. You can 474 00:24:05,320 --> 00:24:10,080 Speaker 1: talk about what you do and removing regulations and lowering taxes. Ultimately, 475 00:24:10,119 --> 00:24:13,480 Speaker 1: people have to buy into the program, though, and it 476 00:24:13,640 --> 00:24:17,520 Speaker 1: was just almost like spontaneous combustion. Animal spirits erupted in 477 00:24:17,560 --> 00:24:19,880 Speaker 1: this country and people started to go out and do 478 00:24:19,960 --> 00:24:22,600 Speaker 1: things and make things happen. And when you get that going, 479 00:24:22,800 --> 00:24:25,360 Speaker 1: when that happens, when people feel like they can do it, 480 00:24:25,800 --> 00:24:29,639 Speaker 1: they do it and it's infectious. Yeah. So, in other words, 481 00:24:30,080 --> 00:24:33,240 Speaker 1: the story of the media was telling was duplicitous. They 482 00:24:33,280 --> 00:24:36,120 Speaker 1: wanted to create a narrative that was going to make 483 00:24:36,160 --> 00:24:39,400 Speaker 1: people think differently. But people were very confident in the economy, 484 00:24:39,680 --> 00:24:42,640 Speaker 1: oh they were. And the media didn't talk economy a want. 485 00:24:42,920 --> 00:24:44,560 Speaker 1: The only time you would get a media comment on 486 00:24:44,600 --> 00:24:47,600 Speaker 1: the economy before two thousand and twenty was to sort 487 00:24:47,600 --> 00:24:50,280 Speaker 1: of say, well, you know, but there's still poor people. Yeah, 488 00:24:50,359 --> 00:24:52,879 Speaker 1: you know what it's it's an issue. It's been an 489 00:24:52,880 --> 00:24:55,040 Speaker 1: issue from the very beginning, from the from the dawn 490 00:24:55,040 --> 00:24:56,960 Speaker 1: of time, for every single country in the world. It 491 00:24:57,000 --> 00:24:59,280 Speaker 1: has been an issue. But were we moving in the 492 00:24:59,440 --> 00:25:02,160 Speaker 1: right direct action where they're fewer poor people? Were poor 493 00:25:02,200 --> 00:25:05,920 Speaker 1: people opportunistic? And by the way, you know, don't compare. 494 00:25:06,000 --> 00:25:08,480 Speaker 1: You know that when they compare well, the poor people 495 00:25:08,480 --> 00:25:10,600 Speaker 1: in America, you know to the rest of the world. 496 00:25:10,920 --> 00:25:13,440 Speaker 1: You know, around the world. The way you measure poverty 497 00:25:13,840 --> 00:25:15,600 Speaker 1: as a dollar ninety cents a day, it's how they 498 00:25:15,680 --> 00:25:18,600 Speaker 1: measure poverty in this country begins at twenty seven thousand dollars. 499 00:25:18,600 --> 00:25:21,119 Speaker 1: So you know, listen, we want everyone in this country 500 00:25:21,119 --> 00:25:23,560 Speaker 1: to do very well. And so, but that was those 501 00:25:23,560 --> 00:25:25,200 Speaker 1: are the only articles you read. And then of course 502 00:25:25,200 --> 00:25:27,560 Speaker 1: the only other articles you would read was about the 503 00:25:27,560 --> 00:25:30,560 Speaker 1: plight of the farmer because of Trump's crazy trade war 504 00:25:30,640 --> 00:25:35,800 Speaker 1: with China. So uh yeah again, yeah, that's interesting because, 505 00:25:35,960 --> 00:25:38,080 Speaker 1: for instance, so evanage, which was the main product that 506 00:25:38,200 --> 00:25:41,320 Speaker 1: China bias from our farmers. Those prices peaked in two 507 00:25:41,320 --> 00:25:45,400 Speaker 1: thousand and fourteen, they were down fifty when President Trump 508 00:25:45,440 --> 00:25:49,600 Speaker 1: has been inaugurated. I did not recall a single story 509 00:25:49,640 --> 00:25:52,920 Speaker 1: above the full about the plot of the farmers during 510 00:25:52,960 --> 00:25:56,879 Speaker 1: President Obama's administration, not one I googled it. I tried, 511 00:25:57,000 --> 00:26:01,040 Speaker 1: I look forward. I'm sure maybe somewhere somewhere, and you know, 512 00:26:01,160 --> 00:26:04,600 Speaker 1: and maybe in the Butte, Montana Harold, you know, but 513 00:26:05,800 --> 00:26:08,679 Speaker 1: I didn't see it in any major newspapers. But you know, 514 00:26:08,720 --> 00:26:10,840 Speaker 1: of course that was something all of a sudden, you know, 515 00:26:11,160 --> 00:26:15,240 Speaker 1: the editors at the Washington Post so worried, so concerned 516 00:26:15,680 --> 00:26:18,560 Speaker 1: about the American farmer. And how many times did you 517 00:26:18,600 --> 00:26:20,560 Speaker 1: turn on the TV and see some news crew out 518 00:26:20,600 --> 00:26:23,600 Speaker 1: there talking to some farmer. Trump ruined my business and 519 00:26:23,800 --> 00:26:28,840 Speaker 1: Chinese with everything. For me, that nothing, What the hell 520 00:26:28,960 --> 00:26:31,680 Speaker 1: is going on here? Uh? You guys have said any 521 00:26:31,680 --> 00:26:36,080 Speaker 1: cruise out there before the voters, Well, they were trying 522 00:26:36,119 --> 00:26:40,760 Speaker 1: to make them hate. But let me ask you, when 523 00:26:40,760 --> 00:26:44,159 Speaker 1: was the last time you seeing the farmer being interviewed again? 524 00:26:44,280 --> 00:26:49,000 Speaker 1: To your point, of course, that tells you that that 525 00:26:49,080 --> 00:26:51,080 Speaker 1: so he beans, No, there were so he beans are 526 00:26:51,160 --> 00:26:53,800 Speaker 1: right now, they're at the highest level I think since 527 00:26:53,800 --> 00:26:57,000 Speaker 1: two thousand and thirteen. Oh, by the way, farm income, 528 00:26:57,359 --> 00:27:01,680 Speaker 1: farm income was higher every single year the Trump was 529 00:27:01,720 --> 00:27:04,840 Speaker 1: in office. Then in two thousand and sixteen, you don't 530 00:27:04,840 --> 00:27:06,760 Speaker 1: read about it anymore. So the point is is like 531 00:27:06,760 --> 00:27:08,760 Speaker 1: when it came to the economy, just like when it 532 00:27:08,800 --> 00:27:10,720 Speaker 1: came to farmers, the media didn't care unless it was 533 00:27:10,880 --> 00:27:12,719 Speaker 1: unless they were able to portraye in the negative light. 534 00:27:12,720 --> 00:27:15,840 Speaker 1: And of course you never stopped reading about those articles 535 00:27:15,840 --> 00:27:19,159 Speaker 1: because obviously when you shut down entire economies, when you 536 00:27:19,200 --> 00:27:22,720 Speaker 1: have the strange virus that comes from nowhere, there's gonna 537 00:27:22,760 --> 00:27:26,560 Speaker 1: be serious economic damage. Yeah. Absolutely, And I'm reminded of 538 00:27:26,560 --> 00:27:28,320 Speaker 1: a scripture to something you said, the poor will be 539 00:27:28,359 --> 00:27:30,679 Speaker 1: with us always is what the Bible says, and I 540 00:27:30,720 --> 00:27:32,600 Speaker 1: want to pick up from there in a moment after 541 00:27:32,600 --> 00:27:37,240 Speaker 1: a word from our sponsor. But in terms of farmers, 542 00:27:37,280 --> 00:27:41,080 Speaker 1: really quick now, some have argued that it's the government 543 00:27:41,119 --> 00:27:45,160 Speaker 1: aide which have kept him afloat, not necessarily their production. Yeah, 544 00:27:45,160 --> 00:27:47,520 Speaker 1: it doesn't matter. By the way they did government. Every year, 545 00:27:47,680 --> 00:27:49,959 Speaker 1: every administration gives them government. Trump did give him more 546 00:27:49,960 --> 00:27:52,760 Speaker 1: than most. It doesn't matter. That wasn't the point. The 547 00:27:52,840 --> 00:27:57,119 Speaker 1: point was that they were deliberately targeted by China. You know, imagine, 548 00:27:57,640 --> 00:28:00,480 Speaker 1: you know, imagine if if we had a beef Canada 549 00:28:00,600 --> 00:28:04,440 Speaker 1: and they invaded North Dakota. You know, it's it's the 550 00:28:04,760 --> 00:28:08,960 Speaker 1: China has been robbing, stealing, destroying America from within and 551 00:28:09,000 --> 00:28:11,359 Speaker 1: without for a long time. None of these politicians had 552 00:28:11,400 --> 00:28:13,800 Speaker 1: the guts, none of these corporations had the guts to 553 00:28:13,880 --> 00:28:16,080 Speaker 1: stand up. Many of these companies would actually go to 554 00:28:16,160 --> 00:28:19,080 Speaker 1: China and let them steal their intellectual projects just for 555 00:28:19,760 --> 00:28:22,600 Speaker 1: and so China does as they say, well, well we'll 556 00:28:22,600 --> 00:28:25,240 Speaker 1: just stop doing business with farmers. And instead of the 557 00:28:25,600 --> 00:28:28,440 Speaker 1: media saying, listen, this is despicable on China's part. Let's 558 00:28:28,520 --> 00:28:31,720 Speaker 1: rally around the farmers and let's support them, they tried. 559 00:28:31,800 --> 00:28:34,639 Speaker 1: They fell right into China's trap, you know, and they 560 00:28:34,720 --> 00:28:37,080 Speaker 1: tried to make it a negative thing. So again, it 561 00:28:37,080 --> 00:28:40,400 Speaker 1: doesn't really matter. The bottom line is that even even 562 00:28:40,440 --> 00:28:45,680 Speaker 1: before and two thousand nineteen, farm income in two thousand seventeen, 563 00:28:45,720 --> 00:28:49,600 Speaker 1: two thousand and eighteen, certainly two thousand two twenty was higher, 564 00:28:49,960 --> 00:28:53,920 Speaker 1: and farm income in one will be through the roof 565 00:28:54,520 --> 00:28:58,080 Speaker 1: the amount from Phase one. China hasn't you'll read the headline, 566 00:28:58,160 --> 00:29:00,840 Speaker 1: China hasn't bought everything they promised. Tell you what, my man, 567 00:29:00,920 --> 00:29:04,880 Speaker 1: They had bought records amount records and they will is 568 00:29:04,920 --> 00:29:06,680 Speaker 1: gonna be a hell of a year for the American farmer. 569 00:29:07,080 --> 00:29:09,040 Speaker 1: The media might give Joe Biden the credit, but there 570 00:29:09,080 --> 00:29:11,360 Speaker 1: was all the hard work that Trump did, and I'm 571 00:29:11,360 --> 00:29:13,920 Speaker 1: glad they supported him because they were smart enough to 572 00:29:13,960 --> 00:29:16,600 Speaker 1: understand they were pawns in a greater game. So they 573 00:29:16,600 --> 00:29:18,520 Speaker 1: didn't turn on Trump. They didn't listen to the media 574 00:29:18,880 --> 00:29:21,080 Speaker 1: because they know the media will never write another story 575 00:29:21,120 --> 00:29:23,360 Speaker 1: about the farmers unless they can find a negative angle 576 00:29:23,400 --> 00:29:26,920 Speaker 1: against the Republican And now speaking of China, and you know, 577 00:29:26,960 --> 00:29:31,800 Speaker 1: there's been reporting that suggested the virus originated there, and 578 00:29:31,840 --> 00:29:34,520 Speaker 1: we we've seen a number of stories written on that. 579 00:29:34,560 --> 00:29:36,840 Speaker 1: But there was a study. The USC did a study 580 00:29:36,880 --> 00:29:39,360 Speaker 1: and they said that in the worst case scenario, that 581 00:29:39,480 --> 00:29:42,640 Speaker 1: GDP growth that the United States could have had will 582 00:29:42,720 --> 00:29:45,560 Speaker 1: be three times in terms of the losses, three times 583 00:29:45,600 --> 00:29:48,360 Speaker 1: worse than China. And there was also some something that 584 00:29:48,400 --> 00:29:51,080 Speaker 1: I was reading the show that China would dominate the U. 585 00:29:51,200 --> 00:29:55,840 Speaker 1: S economy by I'm intrigued. What do you think about this? 586 00:29:55,960 --> 00:29:58,120 Speaker 1: Is it is it possible that we can still be 587 00:29:58,200 --> 00:30:00,800 Speaker 1: the world's Hegeman? Well, I think I absolutely The answer 588 00:30:00,800 --> 00:30:03,640 Speaker 1: is absolutely yes. I mean, these are estimates, these are guestimates. 589 00:30:04,040 --> 00:30:06,240 Speaker 1: A lot of this really will depend on whether we 590 00:30:06,320 --> 00:30:08,480 Speaker 1: sell our souls or not. You know, here's the thing 591 00:30:08,480 --> 00:30:12,320 Speaker 1: when when Nixon send Kissinger over, I want to say, 592 00:30:12,360 --> 00:30:14,080 Speaker 1: and I don't want to get this number wrong, and 593 00:30:14,280 --> 00:30:16,200 Speaker 1: I've done some deep research on it, and I was 594 00:30:16,200 --> 00:30:18,360 Speaker 1: writing about this and talking about this room in the 595 00:30:18,440 --> 00:30:21,480 Speaker 1: last ten years are longer. I want to say, China, 596 00:30:21,560 --> 00:30:24,040 Speaker 1: the average person in China was making like four or 597 00:30:24,040 --> 00:30:28,120 Speaker 1: five hundred bucks a year, maybe maybe a thousand. You're 598 00:30:28,160 --> 00:30:30,480 Speaker 1: you're too young to remember this actress Sally Strugg. She 599 00:30:30,520 --> 00:30:34,080 Speaker 1: was on this show All in the Family. Yeah, well, 600 00:30:34,080 --> 00:30:36,680 Speaker 1: she used to come on TV and literally cry and 601 00:30:36,720 --> 00:30:40,040 Speaker 1: these commercials late night TV and beg Americans to send 602 00:30:40,120 --> 00:30:42,640 Speaker 1: China some money, please help. We've got to help them. 603 00:30:42,640 --> 00:30:45,240 Speaker 1: I mean, she'd be in tears, and so we opened 604 00:30:45,320 --> 00:30:47,920 Speaker 1: up relationships with them. Then of course, ultimately we let 605 00:30:47,960 --> 00:30:50,480 Speaker 1: them in in a world trade organization, and all they've 606 00:30:50,480 --> 00:30:54,160 Speaker 1: done is loots, still, lie, cheat, They've got slave labor. 607 00:30:54,600 --> 00:30:56,120 Speaker 1: And by the way, this gets back to some of 608 00:30:56,120 --> 00:30:58,840 Speaker 1: those Republicans, right, who thinks I think it's okay, Hey, 609 00:30:58,840 --> 00:31:01,280 Speaker 1: if China wants to sell still at a cheap price, 610 00:31:01,320 --> 00:31:04,320 Speaker 1: why not let them do it. They're dumb. Yeah, they're 611 00:31:04,400 --> 00:31:06,440 Speaker 1: dumb until the nut dumb. You know, there's the's an 612 00:31:06,440 --> 00:31:10,200 Speaker 1: old Twilight Zone episode called the Cookbook. Right, So, while 613 00:31:10,240 --> 00:31:12,320 Speaker 1: you think they're doing something like do you ever say 614 00:31:12,320 --> 00:31:14,480 Speaker 1: you said, why would someone sell us something so cheap? 615 00:31:14,520 --> 00:31:16,760 Speaker 1: They can't be making money on it because as soon 616 00:31:16,800 --> 00:31:18,840 Speaker 1: as they put all of our still companies out of business, 617 00:31:18,920 --> 00:31:21,040 Speaker 1: they can raise their prices to whatever the hell they 618 00:31:21,080 --> 00:31:24,360 Speaker 1: want or keep it from us. So as far as 619 00:31:24,440 --> 00:31:28,760 Speaker 1: China passing us, that's always been their goal. President She 620 00:31:29,040 --> 00:31:33,360 Speaker 1: has been really loud about it with the China program. 621 00:31:33,360 --> 00:31:35,800 Speaker 1: His predecessor was quiet about it. He didn't want to 622 00:31:35,800 --> 00:31:38,160 Speaker 1: brag about that or let the world now. But there's 623 00:31:38,200 --> 00:31:41,400 Speaker 1: no way it can happen if we're smart, if we 624 00:31:41,480 --> 00:31:43,800 Speaker 1: if we really keep going down this path that President 625 00:31:43,840 --> 00:31:47,360 Speaker 1: Trump put us on. You know, they're not innovators, think 626 00:31:47,360 --> 00:31:51,800 Speaker 1: of everything that really they're great copiers, the great thieves, 627 00:31:51,840 --> 00:31:54,800 Speaker 1: you know, I mean so, but you know, they're not 628 00:31:54,880 --> 00:31:57,520 Speaker 1: innovating things. So we have to make sure that they 629 00:31:57,520 --> 00:31:59,360 Speaker 1: don't get the source code, We have to make sure 630 00:31:59,360 --> 00:32:02,080 Speaker 1: that they don't ill everything, and we certainly need to 631 00:32:02,120 --> 00:32:04,880 Speaker 1: be on guard for them selling us stuff that they've 632 00:32:04,920 --> 00:32:08,160 Speaker 1: stolen from us in the first place, and rewarding them 633 00:32:08,480 --> 00:32:10,920 Speaker 1: because they're offered at a lower price, and we've just 634 00:32:10,960 --> 00:32:13,360 Speaker 1: been playing dumb about it. But we also have to 635 00:32:13,440 --> 00:32:18,240 Speaker 1: reinvigorate the American spirit also. You know, we talked about 636 00:32:18,280 --> 00:32:22,000 Speaker 1: all these new people who are starting entrepreneurships. We need 637 00:32:22,040 --> 00:32:25,520 Speaker 1: to keep that going. I think this notion now that 638 00:32:25,600 --> 00:32:29,080 Speaker 1: America is so awful, you know, this whole focus on 639 00:32:29,200 --> 00:32:31,480 Speaker 1: and we're so poor, was so awful. We're so this, 640 00:32:31,920 --> 00:32:33,840 Speaker 1: we need to raise taxes so we can take care 641 00:32:33,880 --> 00:32:37,479 Speaker 1: of these people. And it's a defeatist approach. And I 642 00:32:37,520 --> 00:32:40,360 Speaker 1: think if we go down that path where we deliberately 643 00:32:40,400 --> 00:32:43,120 Speaker 1: slow up commerce in this country out of some sort 644 00:32:43,160 --> 00:32:45,400 Speaker 1: of notion that you can't make it in this country, 645 00:32:45,480 --> 00:32:48,640 Speaker 1: so there's gotta be social justice, then then China will 646 00:32:48,680 --> 00:32:52,160 Speaker 1: take overtake us a lot sooner than anyone thought. We don't. 647 00:32:52,200 --> 00:32:54,120 Speaker 1: It doesn't have to be that way, and I'm certainly 648 00:32:54,160 --> 00:32:56,440 Speaker 1: gonna make sure I always use my platform to make it, 649 00:32:56,480 --> 00:32:59,200 Speaker 1: to make sure I I warn't against it. I think 650 00:32:59,200 --> 00:33:03,280 Speaker 1: if we keep the American entrepreneurship pool, yourself up by 651 00:33:03,280 --> 00:33:06,600 Speaker 1: the bootstrap, believe in yourself. If we keep that spirit 652 00:33:06,680 --> 00:33:10,200 Speaker 1: alive well, being number one for a long time. Yeah. Now, 653 00:33:10,320 --> 00:33:12,600 Speaker 1: you of course worked on Long Street and are expert 654 00:33:12,640 --> 00:33:16,240 Speaker 1: on investing in stocks. Broadly speaking, how would you advise 655 00:33:16,280 --> 00:33:19,200 Speaker 1: the average middle and working class American to handle their money? 656 00:33:19,520 --> 00:33:22,160 Speaker 1: And these uncertain economic times should we be trying to 657 00:33:22,160 --> 00:33:24,880 Speaker 1: invest in the stock market? Save? Are there new markets 658 00:33:24,880 --> 00:33:27,440 Speaker 1: and industries that are catching your eye? I see a 659 00:33:27,480 --> 00:33:29,520 Speaker 1: lot of people, so they make a lot of money 660 00:33:29,520 --> 00:33:33,160 Speaker 1: and currency trading currencies, and that's something I've become recently 661 00:33:33,200 --> 00:33:36,040 Speaker 1: interested in. Well, you know, I still have my business. 662 00:33:36,040 --> 00:33:38,680 Speaker 1: It's my main business, Wall Street Strategies. I've been doing 663 00:33:38,680 --> 00:33:41,440 Speaker 1: this for over thirty years. I have a new book, 664 00:33:41,520 --> 00:33:45,640 Speaker 1: Unstoppable Prosperity. It has been a grand slam Giano. The 665 00:33:45,680 --> 00:33:48,720 Speaker 1: book has it's I can't even tell you. I can't 666 00:33:48,720 --> 00:33:51,880 Speaker 1: even tell you. I do education. Tens of millions of 667 00:33:51,920 --> 00:33:54,280 Speaker 1: dollars people have paid me in the last year to 668 00:33:54,360 --> 00:34:00,320 Speaker 1: help educate them. My track record is phenomenal, beyond phenomenal. Yes, invests, Yes, 669 00:34:00,480 --> 00:34:03,160 Speaker 1: change your life. Please do it, Please do it. That's 670 00:34:03,160 --> 00:34:05,400 Speaker 1: what my book is all about. I tried my best, 671 00:34:05,400 --> 00:34:07,959 Speaker 1: I take all my experience. I became a broker. Well, 672 00:34:08,000 --> 00:34:12,279 Speaker 1: I started on Wall Street. I became a broker in 673 00:34:12,640 --> 00:34:17,120 Speaker 1: eighty six, and so I've seen everything. I have seen 674 00:34:17,160 --> 00:34:19,000 Speaker 1: it as an investor. I bought my first stock when 675 00:34:19,000 --> 00:34:20,920 Speaker 1: I was for my first mutual phone when I was 676 00:34:21,000 --> 00:34:23,560 Speaker 1: eight seventeen. My mom had to co sign my first 677 00:34:23,560 --> 00:34:26,000 Speaker 1: stop when I was eighteen. I've seen it all as 678 00:34:26,040 --> 00:34:28,960 Speaker 1: a from a stockbroker to someone who owns its own 679 00:34:29,000 --> 00:34:31,560 Speaker 1: research firm. I know all the mistakes people make. I 680 00:34:31,560 --> 00:34:34,640 Speaker 1: know all the the procrastination they make. And that's and 681 00:34:34,719 --> 00:34:37,040 Speaker 1: that's the main thing, the worst enemy of people when 682 00:34:37,040 --> 00:34:39,600 Speaker 1: they investors themselves. They do it wrong. They come in, 683 00:34:39,600 --> 00:34:41,640 Speaker 1: they buy one stock, they see how it goes. It's 684 00:34:41,640 --> 00:34:44,600 Speaker 1: gotta be a lifelong endeavor and lifelong commitment. And I 685 00:34:44,719 --> 00:34:46,960 Speaker 1: and I'm I consider myself the student of the market. 686 00:34:47,000 --> 00:34:48,560 Speaker 1: I never want to get so cocky. I think I 687 00:34:48,600 --> 00:34:50,840 Speaker 1: know it all in part because the markets. You know, 688 00:34:50,920 --> 00:34:53,880 Speaker 1: different things moved the markets. For instance, right now, this 689 00:34:53,920 --> 00:34:57,640 Speaker 1: whole thing called e s G which is environmental, Environmental, 690 00:34:57,760 --> 00:35:01,600 Speaker 1: social and governance that is going to drive stocks for 691 00:35:01,840 --> 00:35:05,440 Speaker 1: many years to come. Within the market itself. Data with 692 00:35:05,600 --> 00:35:07,239 Speaker 1: you and I are doing at this very moment, we're 693 00:35:07,280 --> 00:35:11,360 Speaker 1: creating data. The amount of data that's created every single 694 00:35:11,480 --> 00:35:14,880 Speaker 1: day around the world is just, oh my goodness, the terms, 695 00:35:14,719 --> 00:35:19,360 Speaker 1: the pedal flops in the and the just the terms alone. 696 00:35:20,239 --> 00:35:24,040 Speaker 1: It's just absolutely amazing that data is created, it's stored, 697 00:35:24,440 --> 00:35:29,560 Speaker 1: it's sold, it's shared, it's secured, it's manipulated, it's massaged. 698 00:35:30,239 --> 00:35:35,480 Speaker 1: It's just amazing. Data. Data, data, data data. Currency is 699 00:35:35,520 --> 00:35:38,160 Speaker 1: a tough game. Currency is as as a different kind 700 00:35:38,160 --> 00:35:40,560 Speaker 1: of tough game. There's all kinds of hoxogenous things and 701 00:35:40,600 --> 00:35:45,799 Speaker 1: political policies. Obviously, Bitcoin is erupting right now, so that's 702 00:35:45,880 --> 00:35:48,920 Speaker 1: that's something I think you're gonna see really go mainstream. 703 00:35:48,960 --> 00:35:52,120 Speaker 1: It's thirty thirty thou bitcoin. Some people are predicting it 704 00:35:52,160 --> 00:35:54,799 Speaker 1: to goes high as a million. I'm also excited this 705 00:35:54,880 --> 00:35:58,239 Speaker 1: year for industries that were were hyped up before but 706 00:35:58,280 --> 00:36:00,640 Speaker 1: didn't live up to the hype. Drone, for instance, this 707 00:36:01,000 --> 00:36:04,800 Speaker 1: ruling by the FAA on commercial drones phenomenal, Oh my goodness, 708 00:36:04,840 --> 00:36:07,920 Speaker 1: phenomenal three D printing ten years later starting to live 709 00:36:07,960 --> 00:36:10,920 Speaker 1: up to the hype. Nanotechnology starting to live up to 710 00:36:10,960 --> 00:36:16,040 Speaker 1: the hype. I'm just so excited, I tell you this. 711 00:36:16,600 --> 00:36:19,640 Speaker 1: As long as they don't as long as we don't 712 00:36:19,719 --> 00:36:21,920 Speaker 1: end up with a government or federal government that can 713 00:36:22,080 --> 00:36:26,239 Speaker 1: completely put up these major, major speed bumps in an 714 00:36:26,280 --> 00:36:29,680 Speaker 1: effort to rechange this country and and this this whole 715 00:36:29,719 --> 00:36:31,719 Speaker 1: Green New Deal thing. And believe me, the pieces are 716 00:36:31,760 --> 00:36:34,720 Speaker 1: being put in the place right now. I saw somewhere 717 00:36:35,480 --> 00:36:38,759 Speaker 1: where something was just passing the house where all this 718 00:36:38,880 --> 00:36:40,640 Speaker 1: Green New Deal stuff doesn't have to come under the 719 00:36:40,719 --> 00:36:44,200 Speaker 1: rules of PAGO. So it's just and I really I 720 00:36:44,200 --> 00:36:48,120 Speaker 1: get progressive credit for playing the long game. You know, 721 00:36:48,400 --> 00:36:51,000 Speaker 1: they plant dcs that german ate them. They being in 722 00:36:51,080 --> 00:36:53,760 Speaker 1: maddus from from from anywhere, from our kids in school, 723 00:36:53,840 --> 00:36:58,239 Speaker 1: from elementary schooling up two movies to music, and they 724 00:36:58,320 --> 00:37:00,440 Speaker 1: just keep hitting us and keep hitting us and keep 725 00:37:00,480 --> 00:37:02,520 Speaker 1: hitting us. And the next thing, you know, you know, 726 00:37:02,600 --> 00:37:05,040 Speaker 1: we're looking at these kind of crazy policies that are 727 00:37:05,560 --> 00:37:09,239 Speaker 1: that that destroyed the economy. And it's we're at that 728 00:37:09,280 --> 00:37:12,840 Speaker 1: point now. So I'm extraordinarily optimistic for the stock market. 729 00:37:13,760 --> 00:37:16,440 Speaker 1: But if Minden gets a chance to reverse President Trump's 730 00:37:16,480 --> 00:37:19,719 Speaker 1: tax policies, then it's it's gonna be a tougher, much 731 00:37:19,719 --> 00:37:22,719 Speaker 1: tougher place to make money. In speaking of that, in 732 00:37:22,840 --> 00:37:26,560 Speaker 1: order for him to be able to reverse those economic policies, Tomorrow, 733 00:37:26,680 --> 00:37:31,040 Speaker 1: January five, is the joint Georgia Senate runoffs, which we 734 00:37:31,080 --> 00:37:33,960 Speaker 1: know will determine which party controls the Senate. We know 735 00:37:34,000 --> 00:37:35,759 Speaker 1: the Democrats control of the House, that this would give 736 00:37:35,840 --> 00:37:38,719 Speaker 1: Joe Biden everything you need to run the country and 737 00:37:38,880 --> 00:37:41,799 Speaker 1: reverse the economic benefits a lot of them that we've 738 00:37:41,800 --> 00:37:45,080 Speaker 1: seen by way of the Trump policies. How concerned are 739 00:37:45,080 --> 00:37:47,840 Speaker 1: you that Republicans won't vote because of the concerns about 740 00:37:47,920 --> 00:37:53,720 Speaker 1: voter fraud. I'm real concerned. It's blowing my mind. Really. 741 00:37:54,040 --> 00:37:56,959 Speaker 1: First of all, not to vote in general blows my mind. 742 00:37:57,239 --> 00:37:59,560 Speaker 1: I mean, I know there are times when you may 743 00:37:59,600 --> 00:38:02,520 Speaker 1: feel like the candidates are unappealing. I'm a person I 744 00:38:02,520 --> 00:38:04,879 Speaker 1: have a long track record, personal track record of voting 745 00:38:04,920 --> 00:38:08,680 Speaker 1: for third party candidates. I've written people in before. You 746 00:38:08,719 --> 00:38:13,160 Speaker 1: know my grandmother, she's it's so interesting and I didn't 747 00:38:13,160 --> 00:38:15,080 Speaker 1: spend a lot of time with her. My grandmother from 748 00:38:15,239 --> 00:38:19,200 Speaker 1: whom born and raised in Alabama, young in town right 749 00:38:19,239 --> 00:38:21,520 Speaker 1: near Selma, and my mom used to tell me these 750 00:38:21,520 --> 00:38:23,399 Speaker 1: stories about how all she did. You know, she's loved 751 00:38:23,440 --> 00:38:25,200 Speaker 1: to do her favorite thing. You know, they ran a 752 00:38:25,200 --> 00:38:26,760 Speaker 1: farm and they had no plumber, so she was always 753 00:38:26,760 --> 00:38:29,200 Speaker 1: busy working, but when she had a free moments, she 754 00:38:29,280 --> 00:38:32,040 Speaker 1: loved listening to politics on the radio. In fact, my 755 00:38:32,080 --> 00:38:34,359 Speaker 1: mother said that she was only afraid of two things 756 00:38:34,400 --> 00:38:37,280 Speaker 1: when she she was younger. That was a cru chef 757 00:38:37,320 --> 00:38:41,839 Speaker 1: in the Russians invading America and m Mantil going to Mississippi. 758 00:38:41,880 --> 00:38:43,560 Speaker 1: She said, even though they were in Alabama, she would 759 00:38:43,560 --> 00:38:46,080 Speaker 1: never go to Mississippi. But my grandmother there was one 760 00:38:46,120 --> 00:38:48,080 Speaker 1: year there was an election, and I forgot what year 761 00:38:48,120 --> 00:38:50,279 Speaker 1: it was, but in the town they made it clear 762 00:38:50,320 --> 00:38:53,000 Speaker 1: to all the black people don't vote. If you vote, 763 00:38:53,040 --> 00:38:57,360 Speaker 1: there's gonna be a problem. So five people showed a 764 00:38:57,480 --> 00:38:59,799 Speaker 1: five black people showed up to my grandmother was one 765 00:38:59,800 --> 00:39:04,000 Speaker 1: of them, and so you know, they gave him a 766 00:39:04,000 --> 00:39:08,200 Speaker 1: hard time, and they put him in a room and 767 00:39:08,200 --> 00:39:10,440 Speaker 1: they were scared. They're like, man, we don't know what 768 00:39:10,480 --> 00:39:12,200 Speaker 1: the hell is gonna go on. They were in the 769 00:39:12,280 --> 00:39:14,319 Speaker 1: room for about forty five minutes an hour and the 770 00:39:14,360 --> 00:39:17,120 Speaker 1: door opened up and it was Martin Luther King and 771 00:39:17,160 --> 00:39:20,120 Speaker 1: he says, everything's gonna be okay. So when I see 772 00:39:20,120 --> 00:39:24,040 Speaker 1: people have these little hissy fits about, you know, not voting, 773 00:39:24,120 --> 00:39:26,200 Speaker 1: I just can't think of anything dumber in my and 774 00:39:26,280 --> 00:39:28,239 Speaker 1: my I can't vote for who the hell you want 775 00:39:28,239 --> 00:39:31,319 Speaker 1: to vote for, but not to vote out of some 776 00:39:31,360 --> 00:39:34,200 Speaker 1: sort of protests, especially when you're helping the people that 777 00:39:34,280 --> 00:39:36,680 Speaker 1: you say you don't want to win. It's just dumb 778 00:39:36,719 --> 00:39:39,239 Speaker 1: as hell. But there there's gonna be a few of 779 00:39:39,239 --> 00:39:41,560 Speaker 1: them who do it, and they they, and I just 780 00:39:41,600 --> 00:39:45,560 Speaker 1: hope it's not enough to change the outcome because we 781 00:39:45,640 --> 00:39:48,120 Speaker 1: cannot and I say, well, I mean, the American people 782 00:39:48,200 --> 00:39:52,000 Speaker 1: cannot have a blank check for the Green New Deal, 783 00:39:52,600 --> 00:39:56,359 Speaker 1: for anti capitalism, for socialism. We just can't let it happen. Well, 784 00:39:56,360 --> 00:40:00,400 Speaker 1: that was a very powerful story. Absolutely, you've raised some 785 00:40:00,560 --> 00:40:05,920 Speaker 1: amazing salient points this entire podcast, and it's the first 786 00:40:05,920 --> 00:40:08,239 Speaker 1: one of the year. Thank you for starting us off 787 00:40:08,280 --> 00:40:15,480 Speaker 1: with such informative, logical, inspirational thoughts on many, many, many 788 00:40:15,480 --> 00:40:17,720 Speaker 1: different issues people don't know. I'll call you my big brother. 789 00:40:18,239 --> 00:40:20,640 Speaker 1: And back when I used to be able to come 790 00:40:20,680 --> 00:40:23,120 Speaker 1: into the office over it Fox, when when I would 791 00:40:23,160 --> 00:40:24,879 Speaker 1: come in monthly, I sait in the office and talk 792 00:40:24,920 --> 00:40:27,880 Speaker 1: to you for hours and and it was always just 793 00:40:28,040 --> 00:40:30,080 Speaker 1: one of the highlights of my trips to New York. 794 00:40:30,120 --> 00:40:32,520 Speaker 1: So I want to thank you for bringing people in 795 00:40:32,640 --> 00:40:35,080 Speaker 1: the in the office for some of the conversations that 796 00:40:35,120 --> 00:40:37,320 Speaker 1: we would normally have on the day to day basis. 797 00:40:37,360 --> 00:40:39,319 Speaker 1: I I want to thank you again, big brother, for 798 00:40:39,320 --> 00:40:41,360 Speaker 1: for kicking us off with the what I hope to 799 00:40:41,360 --> 00:40:44,200 Speaker 1: be a wildly successful year for for the both of 800 00:40:44,280 --> 00:40:47,600 Speaker 1: us and especially everyone that's listening today. Thank you so much. Man, 801 00:40:47,640 --> 00:40:49,080 Speaker 1: I feel the same way. I can't wait to see 802 00:40:49,120 --> 00:40:51,319 Speaker 1: you in person. Absolutely. Now, would you tell everybody how 803 00:40:51,320 --> 00:40:52,960 Speaker 1: they can follow you on social media because I know 804 00:40:52,960 --> 00:40:55,480 Speaker 1: you've got a prolific following on on Twitter you tweet 805 00:40:55,800 --> 00:40:58,360 Speaker 1: probably a hundred times a day. And your website for 806 00:40:58,400 --> 00:41:02,000 Speaker 1: your business and where they can watch you on television, Well, 807 00:41:02,160 --> 00:41:08,040 Speaker 1: it's uh, it's C. D. Pain on Twitter. Uh my 808 00:41:08,040 --> 00:41:11,359 Speaker 1: my website is w Street dot com. If you want 809 00:41:11,360 --> 00:41:12,719 Speaker 1: the book, you can have it for free, but you 810 00:41:12,800 --> 00:41:17,240 Speaker 1: gotta pay. Posteds you're handling at Unstoppable Prosperity dot com 811 00:41:17,320 --> 00:41:19,479 Speaker 1: And every single day you could catch me at two 812 00:41:19,480 --> 00:41:22,600 Speaker 1: pm posting making money with Charles Pain on the Fox 813 00:41:22,640 --> 00:41:25,920 Speaker 1: Business Network. Thank you again, big bro. I really appreciate 814 00:41:25,960 --> 00:41:28,920 Speaker 1: you and your service. Take so much. Thank you so much. 815 00:41:28,960 --> 00:41:41,640 Speaker 1: I appreciate it absolutely. Thanks to Charles paying for a 816 00:41:41,680 --> 00:41:44,160 Speaker 1: great interview. If you're enjoying the show, please leave us 817 00:41:44,160 --> 00:41:46,400 Speaker 1: a review and rate us with five stars on Apple Podcast. 818 00:41:46,840 --> 00:41:49,319 Speaker 1: If you have any questions for me, please email me 819 00:41:49,360 --> 00:41:51,719 Speaker 1: at out loud at ginger Street sixty dot com and 820 00:41:51,760 --> 00:41:54,120 Speaker 1: I'll try to answer them in our future episodes. You 821 00:41:54,120 --> 00:41:56,760 Speaker 1: can also find me on Twitter, Instagram, Facebook, and parlor 822 00:41:57,239 --> 00:42:00,840 Speaker 1: at Giano Caldwell. If you're interested in learning about my story, 823 00:42:00,840 --> 00:42:02,680 Speaker 1: please pick up a copy of my best selling book 824 00:42:03,000 --> 00:42:06,200 Speaker 1: titled Taken for Granted, How Conservatism Can Win back the 825 00:42:06,239 --> 00:42:09,480 Speaker 1: Americans their Liberalism Failed. Special thanks to our producer Stephen 826 00:42:09,480 --> 00:42:13,319 Speaker 1: collabora researcher Aaron Kleinman, and executive producers Debbie Meyers and 827 00:42:13,360 --> 00:42:16,720 Speaker 1: speaker New Gingrich, all a part of the Ginglish three network, 828 00:42:21,040 --> 00:42:22,920 Speaker 1: part of the Gamer's Research Network