1 00:00:02,520 --> 00:00:05,400 Speaker 1: Welcome to the Tutor Dixon Podcast. It's Thursday, and that 2 00:00:05,480 --> 00:00:08,440 Speaker 1: means that we have our whole crew here with us today. 3 00:00:08,520 --> 00:00:11,559 Speaker 1: So we have Kyle, Sarah Astaban, and me and we 4 00:00:11,600 --> 00:00:14,120 Speaker 1: wanted to go through some kind of news of the 5 00:00:14,200 --> 00:00:17,079 Speaker 1: day stories and just get everybody's take. Again. I love 6 00:00:17,360 --> 00:00:21,560 Speaker 1: doing this because we have three different generations represented, so 7 00:00:21,600 --> 00:00:24,239 Speaker 1: we get to have everybody's different opinion on how things 8 00:00:24,239 --> 00:00:27,840 Speaker 1: are going. And the story I chose is looks like 9 00:00:27,920 --> 00:00:30,520 Speaker 1: it's a cancer story, which I recognize that I talk 10 00:00:30,560 --> 00:00:33,320 Speaker 1: about cancer a lot because obviously I've had cancer. But 11 00:00:34,120 --> 00:00:37,320 Speaker 1: I picked this one because do you remember a few 12 00:00:37,360 --> 00:00:40,080 Speaker 1: weeks ago when we were in the office and Asketeban 13 00:00:40,200 --> 00:00:48,280 Speaker 1: drank as elsius it had I'd prefer not to remember so, 14 00:00:48,560 --> 00:00:50,040 Speaker 1: but you said it was cracked, right. 15 00:00:50,280 --> 00:00:53,120 Speaker 2: The can was cracked, and it was there was a 16 00:00:53,280 --> 00:00:58,080 Speaker 2: giant glob of like mold and gross stuff and I 17 00:00:58,200 --> 00:01:00,480 Speaker 2: drank it and then I spit it out into a 18 00:01:00,520 --> 00:01:03,240 Speaker 2: cup and then showed us and then I had to 19 00:01:03,280 --> 00:01:04,080 Speaker 2: do like a little show. 20 00:01:04,080 --> 00:01:06,959 Speaker 3: And I've literally not had a Celsius since then. I 21 00:01:07,000 --> 00:01:10,559 Speaker 3: had two left in my fridge, and the fridge. 22 00:01:10,720 --> 00:01:13,160 Speaker 1: I know, and we shouldn't, I mean, so this is 23 00:01:13,200 --> 00:01:15,880 Speaker 1: not a knock against Celsius. We do think it was cracked, 24 00:01:15,920 --> 00:01:18,000 Speaker 1: so that it was not their fault. It was that 25 00:01:18,080 --> 00:01:21,520 Speaker 1: the can was open. However, it has horrified me because 26 00:01:21,560 --> 00:01:26,960 Speaker 1: of the slime like gel thing that came out of 27 00:01:27,080 --> 00:01:29,840 Speaker 1: that can. Anyway, so I decided that I would talk 28 00:01:29,880 --> 00:01:32,360 Speaker 1: to you more about energy drinks because I saw this 29 00:01:32,520 --> 00:01:37,520 Speaker 1: article in the Daily Mail that they these researchers now 30 00:01:37,560 --> 00:01:40,679 Speaker 1: believe that the colon cancer crisis in young people, which 31 00:01:40,720 --> 00:01:42,399 Speaker 1: is it is? I mean, even if you look at 32 00:01:42,480 --> 00:01:48,000 Speaker 1: rates in Michigan, they've increased significantly. Researchers are saying that 33 00:01:48,040 --> 00:01:53,800 Speaker 1: they've had an increase in colon cancer that is like 34 00:01:54,880 --> 00:01:58,120 Speaker 1: in young people under fifty, that is out of this world. 35 00:01:58,200 --> 00:02:04,160 Speaker 1: It's up. Says that it's up twenty percent in cases 36 00:02:04,200 --> 00:02:06,720 Speaker 1: of people under fifty. And so I just went through 37 00:02:06,720 --> 00:02:08,560 Speaker 1: this with a friend of mine here in Michigan who 38 00:02:08,800 --> 00:02:12,720 Speaker 1: had colon cancer under fifty. And I keep hearing talk 39 00:02:12,760 --> 00:02:17,200 Speaker 1: of colon cancer and they're screening younger. But I started thinking, 40 00:02:17,280 --> 00:02:20,520 Speaker 1: like all these podcasts that we do about food and 41 00:02:20,520 --> 00:02:23,280 Speaker 1: what we're eating, and how is that actually contributing to 42 00:02:23,639 --> 00:02:27,720 Speaker 1: cancers that are essentially an area where what you eat 43 00:02:27,880 --> 00:02:30,520 Speaker 1: is going right through that section of your body. And 44 00:02:30,600 --> 00:02:36,000 Speaker 1: so this study came out saying that researchers believe that 45 00:02:36,560 --> 00:02:39,440 Speaker 1: it's this taurine. I think that's how you say it, 46 00:02:39,480 --> 00:02:43,200 Speaker 1: that's in energy drinks could be causing colon cancer and 47 00:02:43,280 --> 00:02:47,799 Speaker 1: young people. And these young people they're drinking Red Bull, 48 00:02:47,800 --> 00:02:51,000 Speaker 1: they're drinking Celsius, they're drinking Monster. And I don't think 49 00:02:51,000 --> 00:02:54,360 Speaker 1: it's because they're cancer cracked like estemons, but I think 50 00:02:54,360 --> 00:02:58,280 Speaker 1: that there is a huge chance that what we're eating 51 00:02:58,320 --> 00:03:02,160 Speaker 1: every day is causing these cancer and so they are 52 00:03:02,320 --> 00:03:05,720 Speaker 1: actually they're going to be doing more research on this sore, 53 00:03:05,760 --> 00:03:07,079 Speaker 1: and I don't think i'd want to be a part 54 00:03:07,120 --> 00:03:10,880 Speaker 1: of the study. It's like they are going to take 55 00:03:10,919 --> 00:03:14,600 Speaker 1: people who had a healthy gut and give them they'll 56 00:03:14,600 --> 00:03:17,359 Speaker 1: have a control every and then the other people will 57 00:03:17,440 --> 00:03:21,359 Speaker 1: drink the different energy drinks and see what there happens 58 00:03:21,360 --> 00:03:23,280 Speaker 1: in their gut because they believe that it is like 59 00:03:23,760 --> 00:03:26,959 Speaker 1: what is changing in your gut because of energy drinks 60 00:03:26,960 --> 00:03:31,839 Speaker 1: that is causing this callon cancer increase. And we now 61 00:03:31,919 --> 00:03:34,840 Speaker 1: know that one in three Americans are consuming energy drinks 62 00:03:34,840 --> 00:03:37,240 Speaker 1: every day. Then it freaks me out because I don't 63 00:03:37,240 --> 00:03:39,240 Speaker 1: know if you guys remember, but just a few weeks ago, 64 00:03:39,280 --> 00:03:41,200 Speaker 1: one of the kids in our high school that had 65 00:03:41,240 --> 00:03:44,840 Speaker 1: just graduated from our high school died. In the story 66 00:03:44,840 --> 00:03:46,840 Speaker 1: that we got from the girls, which of course I'm 67 00:03:46,840 --> 00:03:49,080 Speaker 1: getting this from the kids, but they said that he 68 00:03:49,280 --> 00:03:53,320 Speaker 1: had a heart condition and wouldn't stop drinking energy drinks 69 00:03:53,360 --> 00:03:57,160 Speaker 1: and then drank an energy drink and essentially went into 70 00:03:57,160 --> 00:04:01,280 Speaker 1: cardiac arrest. The energy drinks just like they're causing all 71 00:04:01,360 --> 00:04:04,280 Speaker 1: kinds of problems. But I think that in general, what 72 00:04:04,320 --> 00:04:07,080 Speaker 1: we're eating is way different than what our parents and 73 00:04:07,080 --> 00:04:08,280 Speaker 1: our grandparents were eating. 74 00:04:09,000 --> 00:04:11,720 Speaker 3: I was remember last year when Celsius. I feel like 75 00:04:11,840 --> 00:04:14,120 Speaker 3: Celsius hit a boom last year, and maybe it's just 76 00:04:14,120 --> 00:04:15,720 Speaker 3: I noticed it more because we were on the campaign, 77 00:04:15,760 --> 00:04:17,000 Speaker 3: and I feel like that's the first time I was 78 00:04:17,040 --> 00:04:20,599 Speaker 3: really drinking it, like excess it way too yeah, which 79 00:04:20,680 --> 00:04:23,000 Speaker 3: was not good. But there was this period where it 80 00:04:23,040 --> 00:04:25,080 Speaker 3: came out and people were talking about there was a 81 00:04:25,080 --> 00:04:29,120 Speaker 3: TikTok trend that said Celsius is the new ozempic, and 82 00:04:29,200 --> 00:04:31,680 Speaker 3: so everybody was drinking it because they thought, oh, it's 83 00:04:31,680 --> 00:04:33,720 Speaker 3: this energy drink that also will cause you to lose 84 00:04:33,760 --> 00:04:36,359 Speaker 3: weight because of whatever the ingredients were in it, and 85 00:04:36,400 --> 00:04:38,960 Speaker 3: I just think, Okay, well, ozempic now is out there too, 86 00:04:39,000 --> 00:04:42,320 Speaker 3: saying that it might cause thyroid cancer. I'm like, every 87 00:04:42,360 --> 00:04:45,720 Speaker 3: little quick fix that Americans specifically try to do turns 88 00:04:45,760 --> 00:04:47,120 Speaker 3: out something is cancerous. 89 00:04:47,480 --> 00:04:50,400 Speaker 1: And I wonder what are we actually eating because like 90 00:04:50,480 --> 00:04:53,120 Speaker 1: the super Size Me guy who just died of cancer, 91 00:04:53,160 --> 00:04:55,920 Speaker 1: and they say that it wasn't connected to him eating McDonald's. 92 00:04:55,920 --> 00:04:57,279 Speaker 1: But I mean, it's not like you can come out 93 00:04:57,279 --> 00:05:00,960 Speaker 1: and say that or McDonald's would go bananas. But I 94 00:05:01,000 --> 00:05:04,159 Speaker 1: think about, gosh, this is a guy who ate McDonald's 95 00:05:04,160 --> 00:05:07,359 Speaker 1: every day for a year and then pretty young. Was 96 00:05:07,400 --> 00:05:10,479 Speaker 1: he fifty six or fifty three when he died of cancer. 97 00:05:11,640 --> 00:05:14,680 Speaker 1: I you see cancer more and more. And I know 98 00:05:14,760 --> 00:05:17,159 Speaker 1: this because when I went to the hospital for my 99 00:05:17,200 --> 00:05:19,760 Speaker 1: own cancer at thirty eight, they were like, do you 100 00:05:19,839 --> 00:05:23,400 Speaker 1: have breast cancer an your family? No, there's no history 101 00:05:23,400 --> 00:05:25,080 Speaker 1: of breast cancer. Have you done this? Have you or 102 00:05:25,040 --> 00:05:27,160 Speaker 1: are you a smoker? Or do you drink heavily? None 103 00:05:27,200 --> 00:05:29,600 Speaker 1: of those things. And they're like, yeah, we just keep 104 00:05:29,600 --> 00:05:32,440 Speaker 1: seeing breast cancer younger and younger. And I really am 105 00:05:32,640 --> 00:05:34,960 Speaker 1: kind of on this mission and I'm not good at 106 00:05:34,960 --> 00:05:38,440 Speaker 1: this mission either of figuring out like how how to 107 00:05:38,480 --> 00:05:41,800 Speaker 1: eat fewer processed foods. The girls we were talking about 108 00:05:41,839 --> 00:05:44,600 Speaker 1: this the other day and Bonnie said to me, well, 109 00:05:44,600 --> 00:05:47,640 Speaker 1: why would processed foods be any different than regular foods. 110 00:05:47,720 --> 00:05:51,560 Speaker 1: It's like they don't even comprehend what they're eating is 111 00:05:51,640 --> 00:05:54,320 Speaker 1: all processed food. And I don't think even adults comprehend. 112 00:05:54,400 --> 00:05:56,839 Speaker 1: I think we're so used to that quick fix and 113 00:05:57,000 --> 00:06:00,760 Speaker 1: just throwing everything into a lunch box and going to 114 00:06:01,240 --> 00:06:04,599 Speaker 1: the local fast food place and just eating this food, 115 00:06:04,880 --> 00:06:07,200 Speaker 1: not thinking about how it's made, or what's in it, 116 00:06:07,480 --> 00:06:12,320 Speaker 1: or what even the fruits and vegetables have chemicals in them. 117 00:06:13,520 --> 00:06:15,599 Speaker 1: I know I sound crazy, but it has been like 118 00:06:15,920 --> 00:06:19,680 Speaker 1: go it has been bothering me for over a year now, 119 00:06:19,839 --> 00:06:21,880 Speaker 1: and then I see this and I think, how many 120 00:06:21,880 --> 00:06:24,479 Speaker 1: times do I just drink something or eat something I 121 00:06:24,520 --> 00:06:26,520 Speaker 1: think it's benign and it's not. 122 00:06:27,920 --> 00:06:30,239 Speaker 4: Don't you think this sort of research would be done 123 00:06:30,360 --> 00:06:33,159 Speaker 4: first before these products are released? 124 00:06:33,839 --> 00:06:37,760 Speaker 1: That see, that's where I think we mistakingly believe we're safe. 125 00:06:37,800 --> 00:06:40,640 Speaker 1: And that's where I think in the United States a 126 00:06:40,680 --> 00:06:43,440 Speaker 1: lot more is we think, because we have the FDA, 127 00:06:43,520 --> 00:06:45,280 Speaker 1: that we're safe, but a lot more is let through. 128 00:06:45,320 --> 00:06:48,320 Speaker 1: If you just look at us compared to Europe. They 129 00:06:48,320 --> 00:06:51,120 Speaker 1: don't have nearly the chemicals in their food that we have, 130 00:06:51,520 --> 00:06:53,719 Speaker 1: and they don't allow the food dies that we have. 131 00:06:54,080 --> 00:06:55,960 Speaker 1: And there's been a lot of research done on these 132 00:06:55,960 --> 00:06:58,920 Speaker 1: food dyes that they're causing all kinds of behavioral problems. 133 00:06:58,920 --> 00:07:03,599 Speaker 1: But instead, I this is going to sound conspiratorial, but 134 00:07:03,680 --> 00:07:06,960 Speaker 1: I believe that big pharma and big food are causing 135 00:07:07,080 --> 00:07:10,680 Speaker 1: massive health problems in this country, and the big lobbyists 136 00:07:10,720 --> 00:07:13,000 Speaker 1: don't like to say anything because it brings them in 137 00:07:13,080 --> 00:07:14,720 Speaker 1: a ton of money, because as long as you keep 138 00:07:14,720 --> 00:07:17,920 Speaker 1: people on healthy, then you have to get on healthcare. 139 00:07:18,120 --> 00:07:20,280 Speaker 1: And then you get the Democrats saying, well, we should 140 00:07:20,280 --> 00:07:22,360 Speaker 1: all be paying for health care. I mean, it is 141 00:07:22,400 --> 00:07:26,240 Speaker 1: a huge problem. But why are we as Americans accepting 142 00:07:26,600 --> 00:07:31,000 Speaker 1: that Europe is much more careful with what they're ingesting 143 00:07:31,040 --> 00:07:34,000 Speaker 1: into their own bodies? And to your point, Kyle, I 144 00:07:34,040 --> 00:07:37,600 Speaker 1: think I have blindly felt like it was safe because 145 00:07:37,680 --> 00:07:41,600 Speaker 1: of the FDA, and now you see studies like this 146 00:07:41,760 --> 00:07:44,320 Speaker 1: and exactly I'm like, well, how'd you figure this out? Now? 147 00:07:44,880 --> 00:07:47,280 Speaker 4: So do you think the FDA should be doing more 148 00:07:47,640 --> 00:07:53,120 Speaker 4: or is it incumbent upon these companies to make sure 149 00:07:53,120 --> 00:07:54,880 Speaker 4: that their product is safe. 150 00:07:55,760 --> 00:07:58,520 Speaker 1: I think that if you have, I mean, that's the 151 00:07:58,520 --> 00:08:00,680 Speaker 1: purpose of the FDA. And I do think that there 152 00:08:00,760 --> 00:08:04,000 Speaker 1: are government agencies that have a purpose that is good. 153 00:08:04,200 --> 00:08:07,720 Speaker 1: And when your purpose is to keep people safe, that's 154 00:08:07,760 --> 00:08:10,560 Speaker 1: a good purpose. And the fact that I don't think 155 00:08:10,560 --> 00:08:13,960 Speaker 1: the FDA has become a place where the lobbyists control 156 00:08:14,040 --> 00:08:16,800 Speaker 1: it instead of it actually doing its job of keeping 157 00:08:16,840 --> 00:08:21,840 Speaker 1: people safe anymore. So my concern is that, yeah, I 158 00:08:21,880 --> 00:08:25,120 Speaker 1: do think they should be stepping in and saying, Okay, 159 00:08:25,160 --> 00:08:28,320 Speaker 1: this shouldn't be legal because we know it's causing massive 160 00:08:28,440 --> 00:08:32,760 Speaker 1: health problems, and health problems are causing a huge strain 161 00:08:32,800 --> 00:08:35,600 Speaker 1: on society and taxes and everything. I mean, if you 162 00:08:35,640 --> 00:08:40,200 Speaker 1: look at the problems with health are causing so many 163 00:08:40,280 --> 00:08:43,280 Speaker 1: financial problems for this country. And like I said, you 164 00:08:43,320 --> 00:08:45,200 Speaker 1: get the Democrats who are saying, now, let's put more 165 00:08:45,240 --> 00:08:49,760 Speaker 1: money into healthcare. The FDA should be trying to prevent 166 00:08:50,440 --> 00:08:54,080 Speaker 1: unnecessary health problems. These are unnecessary health problems because a 167 00:08:54,120 --> 00:08:57,520 Speaker 1: company decides to go out, they're making a massive amount 168 00:08:57,559 --> 00:09:00,000 Speaker 1: of money. I mean, you talk about this rise in Celsius, 169 00:09:00,240 --> 00:09:02,640 Speaker 1: and I think if you look at all of these 170 00:09:02,640 --> 00:09:06,320 Speaker 1: companies that get some TikTok influencer or Instagram person to 171 00:09:06,360 --> 00:09:08,520 Speaker 1: come out. I mean, if you hear, oh, I don't 172 00:09:08,520 --> 00:09:11,520 Speaker 1: have to pay for ozempic, I can just go get Celsius. 173 00:09:11,600 --> 00:09:12,920 Speaker 1: You're going to buy it in masks. 174 00:09:12,960 --> 00:09:15,840 Speaker 3: I mean called like the five dollars ozempic. That's what 175 00:09:15,880 --> 00:09:18,880 Speaker 3: people were billing it as. And so that's I mean, 176 00:09:18,880 --> 00:09:21,120 Speaker 3: we've had Calli Means on this podcast before and he 177 00:09:21,160 --> 00:09:24,040 Speaker 3: talks about Coca Cola and all of the lobbyists that 178 00:09:24,040 --> 00:09:27,120 Speaker 3: they use to get their will essentially through to say, oh, 179 00:09:27,200 --> 00:09:29,520 Speaker 3: just look past all of these things. Use our studies, 180 00:09:29,520 --> 00:09:32,400 Speaker 3: not these studies. But it's funny because it used to 181 00:09:32,440 --> 00:09:36,120 Speaker 3: be the argument was that healthy food was more expensive, 182 00:09:36,520 --> 00:09:39,080 Speaker 3: and I feel like now even fast food is in 183 00:09:39,120 --> 00:09:41,920 Speaker 3: some ways more expensive after all of COVID and all 184 00:09:41,920 --> 00:09:44,240 Speaker 3: of the economic issues that Biden has had. So you're 185 00:09:44,320 --> 00:09:46,679 Speaker 3: kind of in this weird dilemma now where eating at home, 186 00:09:46,760 --> 00:09:49,040 Speaker 3: where you could potentially try to at least eat healthier, 187 00:09:49,640 --> 00:09:52,320 Speaker 3: is cheaper than going to fast food. But yet to 188 00:09:52,360 --> 00:09:57,119 Speaker 3: your point, all of the food now is somehow infected 189 00:09:57,160 --> 00:10:01,400 Speaker 3: with whatever it is, pesticides or process foods. 190 00:10:01,480 --> 00:10:05,120 Speaker 1: So a part of this was talking about how dangerous 191 00:10:05,120 --> 00:10:07,880 Speaker 1: a part of these articles that I pulled some of 192 00:10:07,920 --> 00:10:10,320 Speaker 1: them were one was the Daily Mail and there was 193 00:10:10,400 --> 00:10:12,720 Speaker 1: another one from the Detroit News, but it was just 194 00:10:12,760 --> 00:10:18,440 Speaker 1: talking about how incredibly dangerous obesity is and how many 195 00:10:18,760 --> 00:10:23,079 Speaker 1: cancers come from obesity and I mean diabetes, cancer, all 196 00:10:23,080 --> 00:10:26,800 Speaker 1: of these things from the fact that we have a 197 00:10:26,960 --> 00:10:31,600 Speaker 1: very obese society and here we are just glorifying, you know, 198 00:10:31,800 --> 00:10:35,240 Speaker 1: body positivity and being as big as you want and 199 00:10:35,280 --> 00:10:38,480 Speaker 1: having these television shows where it's like my thousand pound life. 200 00:10:38,880 --> 00:10:42,200 Speaker 1: And I mean, I don't know if the people are 201 00:10:42,360 --> 00:10:45,800 Speaker 1: attracted to that, because it's like looking in on an anomaly, 202 00:10:45,840 --> 00:10:50,360 Speaker 1: but it's not anymore because it's causing people to think that, well, 203 00:10:50,440 --> 00:10:52,280 Speaker 1: I can gain a little bit more weight. I mean, 204 00:10:52,320 --> 00:10:54,840 Speaker 1: even the guy that we are hoping to have on 205 00:10:54,880 --> 00:10:58,120 Speaker 1: the podcast talks about a restaurant where if you weigh 206 00:10:58,200 --> 00:11:00,200 Speaker 1: three hundred pounds you get your meal for free. I mean, 207 00:11:00,240 --> 00:11:03,880 Speaker 1: it's like a motivator to get to become overweight. And 208 00:11:03,960 --> 00:11:06,560 Speaker 1: I do think it is incredibly hard, with what we're 209 00:11:06,559 --> 00:11:10,160 Speaker 1: eating on a daily basis, not to be overweight. And 210 00:11:10,200 --> 00:11:13,280 Speaker 1: I look at so even if we talk about the 211 00:11:13,360 --> 00:11:16,640 Speaker 1: FDA even if you look at us compared to European countries. 212 00:11:17,600 --> 00:11:20,240 Speaker 1: I do believe that if the FDA is not going 213 00:11:20,280 --> 00:11:22,599 Speaker 1: to regulate the things that are in our food that 214 00:11:22,640 --> 00:11:26,120 Speaker 1: are making us unhealthy that we don't know about, then 215 00:11:26,280 --> 00:11:28,360 Speaker 1: what is the point of the FDA. Because you don't 216 00:11:28,360 --> 00:11:31,040 Speaker 1: see this a massive amount of people overweight in Europe. 217 00:11:31,400 --> 00:11:33,839 Speaker 1: You don't see a massive amount of people overweight in China. 218 00:11:33,880 --> 00:11:37,319 Speaker 1: In Japan, we are the fattest country in the world, 219 00:11:38,040 --> 00:11:42,680 Speaker 1: and we are buying food that is supposedly going through 220 00:11:42,720 --> 00:11:46,280 Speaker 1: a process that says, yes, this is safe. However, I 221 00:11:46,400 --> 00:11:49,880 Speaker 1: have to believe that it's not just because of American 222 00:11:49,920 --> 00:11:54,439 Speaker 1: portion sizes. It's I do believe there's something in our 223 00:11:54,520 --> 00:11:57,720 Speaker 1: food that we're eating that is making us unhealthy. I mean, 224 00:11:57,720 --> 00:12:01,319 Speaker 1: I've talked about you look at it kids in school 225 00:12:01,440 --> 00:12:04,360 Speaker 1: today as compared to when we were in school, and 226 00:12:04,640 --> 00:12:07,000 Speaker 1: you know, there's always somebody in school when you're a 227 00:12:07,040 --> 00:12:10,600 Speaker 1: kid that is struggling with weight, but it's almost the 228 00:12:10,679 --> 00:12:14,880 Speaker 1: norm now rather than the one or two kids that 229 00:12:15,200 --> 00:12:19,040 Speaker 1: have an issue that they're struggling with. And I just think, 230 00:12:19,280 --> 00:12:20,559 Speaker 1: how do we get to this point? 231 00:12:20,920 --> 00:12:23,560 Speaker 3: I'm gonna also jump on the conspiracy theory train. But 232 00:12:24,080 --> 00:12:25,959 Speaker 3: at the movie Wally, do you remember when that came 233 00:12:26,000 --> 00:12:29,280 Speaker 3: out and it was this massively obese society that just 234 00:12:29,320 --> 00:12:31,840 Speaker 3: sat in chairs and looked at screens all day. And 235 00:12:31,880 --> 00:12:34,080 Speaker 3: I remember when I watched it, whatever it came out 236 00:12:34,120 --> 00:12:35,560 Speaker 3: ten years ago, I was like, that's what we're gonna 237 00:12:35,600 --> 00:12:36,080 Speaker 3: end up being. 238 00:12:36,200 --> 00:12:37,480 Speaker 1: And I genuinely think. 239 00:12:37,320 --> 00:12:40,640 Speaker 3: That's like the goal is we get every We're going 240 00:12:40,679 --> 00:12:43,000 Speaker 3: to export everything from other countries, and we're all just 241 00:12:43,000 --> 00:12:44,520 Speaker 3: going to sit on our devices. No one's going to 242 00:12:44,600 --> 00:12:48,360 Speaker 3: talk to anyone anymore, and no one's gonna be physically active. 243 00:12:48,400 --> 00:12:51,120 Speaker 3: And that's just Wally is our future. I think if 244 00:12:51,120 --> 00:12:51,880 Speaker 3: we continue on. 245 00:12:51,760 --> 00:12:57,599 Speaker 1: This path asta fun. You've talked about screens before and 246 00:12:57,720 --> 00:13:00,800 Speaker 1: putting things out there. Do you feel like in your 247 00:13:02,120 --> 00:13:04,400 Speaker 1: high school like you grew up with screens, none of 248 00:13:04,480 --> 00:13:08,320 Speaker 1: us really did. Do you feel like it changed the 249 00:13:08,360 --> 00:13:09,560 Speaker 1: way kids were active? 250 00:13:10,840 --> 00:13:13,800 Speaker 2: I mean, my school was really weird because we didn't 251 00:13:13,840 --> 00:13:16,760 Speaker 2: have a gym. We were literally a tiny room of 252 00:13:16,800 --> 00:13:20,199 Speaker 2: a school, so we had no gym. Most of our 253 00:13:20,200 --> 00:13:24,080 Speaker 2: classes were through a computer. We had most of our 254 00:13:24,080 --> 00:13:27,080 Speaker 2: assignments on a computer, so everything that we were assigned 255 00:13:27,080 --> 00:13:29,480 Speaker 2: for homework required us to sit in front of a computer. 256 00:13:30,000 --> 00:13:40,080 Speaker 2: But I think that generally speaking, my school was perfectly 257 00:13:40,160 --> 00:13:44,160 Speaker 2: fine with balancing being in front of a screen, having 258 00:13:44,200 --> 00:13:47,640 Speaker 2: to sit and do your assignments, and also having a life. 259 00:13:47,960 --> 00:13:51,440 Speaker 2: I think most of my friends and people who went 260 00:13:51,480 --> 00:13:55,320 Speaker 2: to that school weren't necessarily just sitting in a basement 261 00:13:55,760 --> 00:14:00,280 Speaker 2: snacking on potato chips and watching some I don't know 262 00:14:00,320 --> 00:14:02,679 Speaker 2: what a popular show was, Game of Thrones. 263 00:14:02,440 --> 00:14:04,800 Speaker 1: You know, gosh, I hope you weren't watching that in 264 00:14:04,880 --> 00:14:07,160 Speaker 1: high school. I was like, whoa, that's all time. 265 00:14:07,200 --> 00:14:09,400 Speaker 2: I mean, in high school they watched a lot of 266 00:14:09,400 --> 00:14:10,000 Speaker 2: worse stuff. 267 00:14:11,000 --> 00:14:14,160 Speaker 1: Yeah, all right, Well I learned something else that is 268 00:14:14,280 --> 00:14:15,080 Speaker 1: now disturbing me. 269 00:14:16,520 --> 00:14:18,760 Speaker 3: But I do think that's interesting though, because you talk 270 00:14:18,840 --> 00:14:21,240 Speaker 3: about it in the sense that like we always just 271 00:14:21,240 --> 00:14:23,600 Speaker 3: think it's like people sitting in their basements eating potato chips, 272 00:14:23,600 --> 00:14:26,120 Speaker 3: but it's not, actually, I mean, it's genuinely like just 273 00:14:26,160 --> 00:14:27,760 Speaker 3: our food system now is so screwed up. 274 00:14:28,120 --> 00:14:30,000 Speaker 1: I know, I was reading something that it is. It's like, 275 00:14:30,080 --> 00:14:32,440 Speaker 1: don't ever buy bread at the grocery store. I always 276 00:14:32,440 --> 00:14:35,440 Speaker 1: make your own bread. And I'm like, you know, you 277 00:14:35,480 --> 00:14:38,880 Speaker 1: talk about your grandparents being farmers, and I think that 278 00:14:38,960 --> 00:14:42,880 Speaker 1: lifestyle was such that you were farming, but you were 279 00:14:42,880 --> 00:14:44,960 Speaker 1: still at home, so there was a way to go 280 00:14:45,000 --> 00:14:49,360 Speaker 1: from kitchen to farm and kitchen to farm and constantly 281 00:14:49,480 --> 00:14:51,680 Speaker 1: kind of be tending to what the food was going 282 00:14:51,720 --> 00:14:54,440 Speaker 1: to be for the day. And we've created a lifestyle 283 00:14:54,440 --> 00:14:56,560 Speaker 1: where both parents are out of the house, you're getting 284 00:14:56,600 --> 00:15:00,560 Speaker 1: home right at dinner time, and you're trying to come 285 00:15:00,640 --> 00:15:02,840 Speaker 1: up with something in a thirty minute meal. I mean, 286 00:15:02,880 --> 00:15:05,160 Speaker 1: think about it. Rachel raised thirty minute meals, you know, 287 00:15:05,360 --> 00:15:09,680 Speaker 1: And I'm like, how, I'm not Rachel Ray. I always 288 00:15:09,680 --> 00:15:12,280 Speaker 1: wanted to be, but I'm not. I'm more of the 289 00:15:12,400 --> 00:15:15,480 Speaker 1: lady who uses like half of the processed food. There 290 00:15:15,520 --> 00:15:17,840 Speaker 1: is another one where she like used half processed food 291 00:15:17,840 --> 00:15:19,520 Speaker 1: and then made it. I'm like, oh, maybe I can 292 00:15:19,560 --> 00:15:23,560 Speaker 1: handle that. I don't know. I just think it's a 293 00:15:23,720 --> 00:15:27,720 Speaker 1: very tough situation. And I think that as we see 294 00:15:27,760 --> 00:15:31,440 Speaker 1: cancer rates rise, no one is sounding the alarm. You 295 00:15:31,480 --> 00:15:34,800 Speaker 1: see an article here or there, But I go back 296 00:15:34,840 --> 00:15:38,440 Speaker 1: to the FDA if they're doing their jobs and they 297 00:15:38,520 --> 00:15:43,000 Speaker 1: see a massive I mean, you, Kyle, have been involved 298 00:15:43,000 --> 00:15:45,840 Speaker 1: in like the political government world for a long time. 299 00:15:46,200 --> 00:15:48,400 Speaker 1: What is your opinion, because if you're the FDA, and 300 00:15:48,480 --> 00:15:52,040 Speaker 1: you see cancer rates rising in people under fifty at 301 00:15:52,120 --> 00:15:55,560 Speaker 1: rates we've never seen before in just the last ten years. 302 00:15:55,920 --> 00:15:58,640 Speaker 1: Do you not say, I mean, is there no alarm 303 00:15:58,720 --> 00:16:00,960 Speaker 1: sounding there? Like, Okay, we got to do some research. 304 00:16:00,960 --> 00:16:06,240 Speaker 1: We spend billions of dollars on research on whether or 305 00:16:06,280 --> 00:16:08,360 Speaker 1: not rats can be gay, but we don't check to 306 00:16:08,400 --> 00:16:09,600 Speaker 1: see why we're getting cancer. 307 00:16:10,800 --> 00:16:15,240 Speaker 4: Maybe it's because of the processed food. Well, there's two 308 00:16:15,360 --> 00:16:21,320 Speaker 4: There's two things. One is I think that I think 309 00:16:21,360 --> 00:16:28,120 Speaker 4: that these agencies have to a big extent been overtaken 310 00:16:28,240 --> 00:16:34,560 Speaker 4: by lobbyists and these different interests, whether it's corporate interests 311 00:16:34,720 --> 00:16:39,320 Speaker 4: or it's the anti corporate interests. But then I think too, 312 00:16:39,400 --> 00:16:42,000 Speaker 4: if they do say there is a major problem, the 313 00:16:42,160 --> 00:16:45,360 Speaker 4: natural question is, well, why didn't you see this before? 314 00:16:46,280 --> 00:16:48,600 Speaker 4: And so I think a lot of these agencies are 315 00:16:48,640 --> 00:16:51,280 Speaker 4: sort of in a in a position where they don't 316 00:16:51,320 --> 00:16:55,440 Speaker 4: want to admit that that, you know, they screwed things up, 317 00:16:55,560 --> 00:16:57,640 Speaker 4: or they were asleep at the switch or whatever. 318 00:16:57,680 --> 00:16:57,920 Speaker 1: I mean. 319 00:16:58,080 --> 00:17:00,480 Speaker 4: Look at, not to change the subject here, but look 320 00:17:00,520 --> 00:17:07,040 Speaker 4: at I've seen several videos lately of Anthony Fauci conflicting 321 00:17:07,160 --> 00:17:11,800 Speaker 4: with Anthony Fauci about Mass or about distancing or whatever 322 00:17:11,840 --> 00:17:15,080 Speaker 4: it is. And you know, and to see these stories 323 00:17:15,119 --> 00:17:17,879 Speaker 4: about the amount, the hundreds of millions of dollars that 324 00:17:18,000 --> 00:17:24,600 Speaker 4: his agency received in royalties, why is there not a 325 00:17:24,600 --> 00:17:28,680 Speaker 4: hearing about that? And asking is it possible that you 326 00:17:28,720 --> 00:17:32,119 Speaker 4: would have a conflict of interest if your agency is 327 00:17:32,160 --> 00:17:36,480 Speaker 4: accepting royalties from drug companies and these companies that you 328 00:17:37,200 --> 00:17:40,960 Speaker 4: have authority over. And so I think what it shows 329 00:17:41,080 --> 00:17:44,120 Speaker 4: is that there is a lot of there's a lot 330 00:17:44,160 --> 00:17:47,119 Speaker 4: of conflicts going on in the federal government and state 331 00:17:47,160 --> 00:17:51,320 Speaker 4: governments that are just sort of ignored. And I think 332 00:17:51,920 --> 00:17:55,080 Speaker 4: we as a society again looking at what happened with 333 00:17:55,760 --> 00:17:59,960 Speaker 4: compliance during the virus and if you if anyone question 334 00:18:00,040 --> 00:18:04,240 Speaker 4: Shan Anthony Fauci about Mass And even then people were saying, 335 00:18:04,680 --> 00:18:09,160 Speaker 4: you're saying different things here. If you posted that on 336 00:18:09,160 --> 00:18:12,439 Speaker 4: Facebook or you you know, were an elected official and 337 00:18:12,480 --> 00:18:15,439 Speaker 4: you were criticizing him, I mean, it was like you 338 00:18:15,480 --> 00:18:16,440 Speaker 4: wanted people to die. 339 00:18:17,119 --> 00:18:21,200 Speaker 1: See, I'm in this mode. We've been studying American history 340 00:18:21,320 --> 00:18:25,320 Speaker 1: or geography, I guess, and like how the American government 341 00:18:25,359 --> 00:18:29,959 Speaker 1: works in seventh grade this week, and it's been a 342 00:18:30,000 --> 00:18:33,399 Speaker 1: struggle for me as we've studied this because like she's 343 00:18:33,480 --> 00:18:36,399 Speaker 1: learning about checks and balances, right, and this is exactly 344 00:18:37,920 --> 00:18:41,159 Speaker 1: what I mean what you're saying. Obviously we think of 345 00:18:41,200 --> 00:18:44,000 Speaker 1: the checks of balances on the three branches of government, 346 00:18:44,040 --> 00:18:47,240 Speaker 1: but these are new, Like this is the bureaucracy that 347 00:18:47,440 --> 00:18:51,720 Speaker 1: people don't understand, and this is where how can he 348 00:18:51,920 --> 00:18:56,080 Speaker 1: bring money into his agency by guidance that he puts 349 00:18:56,080 --> 00:19:00,040 Speaker 1: out that it disrupts the entire country and ultimately the 350 00:19:00,160 --> 00:19:03,960 Speaker 1: entire world, because it disrupted the entire economy of our country, 351 00:19:04,080 --> 00:19:06,920 Speaker 1: which disrupted the entire world. And as you say, if 352 00:19:06,960 --> 00:19:10,000 Speaker 1: you say anything about it, you are demonized. And I've 353 00:19:10,040 --> 00:19:11,800 Speaker 1: had so many people come to me and be like, 354 00:19:12,080 --> 00:19:15,120 Speaker 1: you know, run for office again, and why aren't more 355 00:19:15,160 --> 00:19:18,480 Speaker 1: people running for office? And how can the regular person 356 00:19:18,560 --> 00:19:21,000 Speaker 1: run for office? And you know, as we're studying this 357 00:19:21,160 --> 00:19:24,160 Speaker 1: and she's talking about the wealthy in the United States 358 00:19:24,160 --> 00:19:26,960 Speaker 1: of America and how does the one percent affect the 359 00:19:27,000 --> 00:19:29,359 Speaker 1: rest of the country, I was looking at this and 360 00:19:29,400 --> 00:19:31,960 Speaker 1: I'm thinking, I mean, look at the people who have 361 00:19:32,800 --> 00:19:37,760 Speaker 1: run for major offices. You now have to be uber rich. 362 00:19:37,920 --> 00:19:42,000 Speaker 1: And those uber rich people have used lobbyists for years 363 00:19:42,359 --> 00:19:48,480 Speaker 1: to impact how government interacts with society and businesses, and 364 00:19:48,560 --> 00:19:52,000 Speaker 1: they and businesses get government to bend to their will, 365 00:19:52,200 --> 00:19:54,600 Speaker 1: and then more people have to go to their businesses. 366 00:19:54,760 --> 00:19:57,400 Speaker 1: I mean, just look on both sides. You've got rich 367 00:19:57,800 --> 00:20:00,639 Speaker 1: person after rich person in the few people that started 368 00:20:00,640 --> 00:20:03,760 Speaker 1: in government that weren't rich have become rich by being 369 00:20:03,800 --> 00:20:06,960 Speaker 1: in government. And it makes no sense. And so people 370 00:20:06,960 --> 00:20:09,760 Speaker 1: are like, oh, you know, why don't you why even 371 00:20:10,040 --> 00:20:12,840 Speaker 1: here's an example after our race, Why didn't you fight? 372 00:20:12,920 --> 00:20:15,199 Speaker 1: Why don't you see I'm like, I mean, I'm not 373 00:20:15,280 --> 00:20:18,440 Speaker 1: a billionaire. What do you expect? Like, people don't understand 374 00:20:18,760 --> 00:20:22,960 Speaker 1: how expensive this process is, and the richest person ultimately 375 00:20:23,320 --> 00:20:30,080 Speaker 1: wins out on this scenario. When you talk about these regulations, 376 00:20:30,080 --> 00:20:32,119 Speaker 1: that's another thing that I mean, we weren't going to 377 00:20:32,119 --> 00:20:36,800 Speaker 1: talk about this, but I see liberal Democrats constantly saying 378 00:20:37,520 --> 00:20:40,640 Speaker 1: all of Trump is removing all these regulations, all these 379 00:20:40,960 --> 00:20:46,320 Speaker 1: environmental regulations. A lot of these regulations are big companies, 380 00:20:46,640 --> 00:20:50,119 Speaker 1: very rich people who lobbied to get these regulations in 381 00:20:50,240 --> 00:20:52,639 Speaker 1: not because they were safer for you and me, but 382 00:20:52,760 --> 00:20:55,080 Speaker 1: because their company was going to make a ton of 383 00:20:55,119 --> 00:20:57,200 Speaker 1: money if they could keep the little guy out of it. 384 00:20:57,440 --> 00:20:59,800 Speaker 1: And if you are a little guy, you can't achieve 385 00:20:59,840 --> 00:21:02,800 Speaker 1: these regulations. So you've got states like Michigan where the 386 00:21:02,840 --> 00:21:06,320 Speaker 1: regulations are so high now the barrier to entry for 387 00:21:06,400 --> 00:21:10,320 Speaker 1: new businesses is so great. We have no businesses coming here. 388 00:21:10,359 --> 00:21:13,200 Speaker 1: We've no businesses starting here, and no businesses that want 389 00:21:13,240 --> 00:21:16,920 Speaker 1: to come to the state of Michigan because the over 390 00:21:17,080 --> 00:21:20,240 Speaker 1: regulation in the state is so bad. It's not only 391 00:21:20,240 --> 00:21:24,480 Speaker 1: bad in the business arena, I mean energy affects business. 392 00:21:24,720 --> 00:21:26,679 Speaker 1: They're out of control on energy. They want to get 393 00:21:26,760 --> 00:21:29,800 Speaker 1: rid of any type of energy, which is your greatest 394 00:21:29,880 --> 00:21:32,280 Speaker 1: form of security that you live with, because if you 395 00:21:32,320 --> 00:21:36,119 Speaker 1: can't have heat in your home, you have no security whatsoever. 396 00:21:36,440 --> 00:21:39,600 Speaker 1: So they want to make energy almost unattainable in this state. 397 00:21:40,080 --> 00:21:42,879 Speaker 1: And then you look at even hunting. The regulations on 398 00:21:43,000 --> 00:21:46,520 Speaker 1: hunters are so out of control. We could actually pay 399 00:21:46,560 --> 00:21:50,119 Speaker 1: most of our taxes on that industry alone if we 400 00:21:50,119 --> 00:21:53,200 Speaker 1: were able to bring tourists into the state. We've overregulated 401 00:21:53,240 --> 00:21:55,720 Speaker 1: the industry to the point where we can't even get 402 00:21:55,720 --> 00:21:57,920 Speaker 1: somebody to come to the state to enjoy the state, 403 00:21:58,119 --> 00:21:59,920 Speaker 1: let alone live in the state. Which kind of takes 404 00:21:59,920 --> 00:22:05,119 Speaker 1: me to your story, which Nashville is booming right now. 405 00:22:05,280 --> 00:22:08,119 Speaker 1: They have a mass amount of people coming to Tennessee, 406 00:22:08,400 --> 00:22:11,240 Speaker 1: and Gretchen Witmer is applying for federal aid to try 407 00:22:11,280 --> 00:22:12,000 Speaker 1: to get people here. 408 00:22:12,440 --> 00:22:15,399 Speaker 4: Right, So there's a story in the Daily Mail about 409 00:22:15,680 --> 00:22:19,439 Speaker 4: Nashville is adding almost one hundred people a day to 410 00:22:19,520 --> 00:22:23,280 Speaker 4: its population, and of course the locals are you know, 411 00:22:23,320 --> 00:22:28,680 Speaker 4: complaining about that because that changes the makeup and the 412 00:22:28,920 --> 00:22:31,919 Speaker 4: you know, culture and the dynamics of their community. And so, 413 00:22:32,359 --> 00:22:35,560 Speaker 4: you know, I think those are valid, you know, valid issues. 414 00:22:36,680 --> 00:22:41,760 Speaker 4: But what it shows is, according to the to the data, Tennessee, 415 00:22:42,000 --> 00:22:45,680 Speaker 4: their population has grown over one percent from twenty twenty 416 00:22:45,720 --> 00:22:48,360 Speaker 4: two to twenty twenty three. And then you look at 417 00:22:48,359 --> 00:22:54,280 Speaker 4: states like Michigan. Our governor's strategy because the population now 418 00:22:54,480 --> 00:22:57,479 Speaker 4: is there's more people dying that are being born in 419 00:22:57,520 --> 00:23:01,440 Speaker 4: the state of Michigan. Her strategy now is let's have 420 00:23:02,359 --> 00:23:06,960 Speaker 4: let's have immigrants and migrants come in to grow the population. 421 00:23:07,840 --> 00:23:11,160 Speaker 4: And the question is, you know, how does that change 422 00:23:11,840 --> 00:23:15,200 Speaker 4: the character and the culture. And I'm not talking race 423 00:23:15,359 --> 00:23:17,600 Speaker 4: and all of that, so people can just calm down, 424 00:23:18,240 --> 00:23:21,600 Speaker 4: But the point is, how when you've got language barriers, 425 00:23:21,680 --> 00:23:24,000 Speaker 4: when you have income barriers, when you have all of 426 00:23:24,040 --> 00:23:26,680 Speaker 4: those sorts of things that you as a state now 427 00:23:26,800 --> 00:23:31,280 Speaker 4: have to grapple with how does that change your state. 428 00:23:31,520 --> 00:23:34,239 Speaker 1: Let's take a quick commercial break. We'll continue next on 429 00:23:34,280 --> 00:23:41,479 Speaker 1: the Tutor Dixon Podcast. I think people in government do 430 00:23:41,520 --> 00:23:44,520 Speaker 1: not understand this. We have this in our town where, 431 00:23:45,720 --> 00:23:47,400 Speaker 1: well not the town that we live in, but one 432 00:23:47,560 --> 00:23:50,160 Speaker 1: very close to us. They decided they wanted to make 433 00:23:50,200 --> 00:23:53,359 Speaker 1: this a tourist town, and they were going to bring 434 00:23:53,400 --> 00:23:56,960 Speaker 1: in all these local restaurantiers and they were going to 435 00:23:57,040 --> 00:24:00,000 Speaker 1: build all this area downtown where everybody would want to 436 00:24:00,240 --> 00:24:04,280 Speaker 1: go and hang out. And the downtown was very industrial, 437 00:24:04,359 --> 00:24:06,719 Speaker 1: had been very industrial for many years. And we our 438 00:24:06,840 --> 00:24:09,199 Speaker 1: factory was down there as well. And let me tell you, 439 00:24:10,040 --> 00:24:12,439 Speaker 1: this city did everything they could to get us out 440 00:24:12,440 --> 00:24:16,240 Speaker 1: of there. Get out, get out, get out by property 441 00:24:16,280 --> 00:24:19,640 Speaker 1: outside of town. I mean, it's like they no one 442 00:24:19,720 --> 00:24:24,480 Speaker 1: in the government understands the challenges of trying to move 443 00:24:24,520 --> 00:24:27,840 Speaker 1: a corporation. But it didn't matter because they were going 444 00:24:27,920 --> 00:24:31,679 Speaker 1: to make this town a tourist attraction. It's not on 445 00:24:31,720 --> 00:24:35,440 Speaker 1: the beach. It's not like you can walk to the beach. 446 00:24:35,440 --> 00:24:38,119 Speaker 1: I mean, if you look at a Holland, you know 447 00:24:38,160 --> 00:24:42,000 Speaker 1: you have a downtown down there that attracts people. There's 448 00:24:42,080 --> 00:24:45,240 Speaker 1: other reasons to go to downtown Holland if you look 449 00:24:45,240 --> 00:24:47,439 Speaker 1: at Grand Haven, you can walk to the beach from 450 00:24:47,520 --> 00:24:50,840 Speaker 1: downtown Grand Haven. The water is right there. You have 451 00:24:51,520 --> 00:24:55,240 Speaker 1: in Miskegan, you have Miskegan Lake, but there's no waterfront 452 00:24:55,280 --> 00:24:57,359 Speaker 1: where you can just go out and hang out. There's 453 00:24:57,400 --> 00:25:00,439 Speaker 1: not a good reason to be attracted to mis But 454 00:25:00,520 --> 00:25:03,600 Speaker 1: they wanted to make it this place where people go. 455 00:25:03,720 --> 00:25:05,960 Speaker 1: They have done a great job of doing that. I 456 00:25:06,000 --> 00:25:09,520 Speaker 1: will say they have a conference center down there, they 457 00:25:09,560 --> 00:25:13,119 Speaker 1: have the hockey arena, they have the all of the beach, 458 00:25:13,200 --> 00:25:16,439 Speaker 1: volleyball in the summer. They have the Miskeigan Farmers Market. 459 00:25:16,640 --> 00:25:19,160 Speaker 1: But you know what, you have to be actually able 460 00:25:19,160 --> 00:25:20,760 Speaker 1: to pay people to live in the town to go 461 00:25:20,840 --> 00:25:24,600 Speaker 1: visit it. And that is the concept that the elected 462 00:25:24,640 --> 00:25:28,680 Speaker 1: officials in this state have not understood. Tennessee gets it. 463 00:25:29,640 --> 00:25:33,439 Speaker 1: Governor Lee has done his damnedest to bring as many 464 00:25:33,520 --> 00:25:36,240 Speaker 1: businesses as he can to Tennessee. And he goes and 465 00:25:36,240 --> 00:25:38,359 Speaker 1: he poaches them from other states. And I have to 466 00:25:38,400 --> 00:25:40,440 Speaker 1: say I give him credit. I mean, look, you got 467 00:25:40,440 --> 00:25:44,920 Speaker 1: Ford and brought a huge brought what to Ford factories 468 00:25:44,960 --> 00:25:50,119 Speaker 1: to Tennessee. And it's about busting your tail every day 469 00:25:50,359 --> 00:25:52,720 Speaker 1: to try to make your state the best. That's what 470 00:25:52,880 --> 00:25:56,040 Speaker 1: being governor is about. Right. You have to have the infrastructure, 471 00:25:56,080 --> 00:25:57,840 Speaker 1: you have to have the businesses, but if you don't 472 00:25:57,880 --> 00:26:00,960 Speaker 1: provide people with an income, they can spend that money. 473 00:26:01,080 --> 00:26:03,080 Speaker 1: And so if you look at Miskeigan, oh they have 474 00:26:03,119 --> 00:26:07,360 Speaker 1: this beautiful downtown within a few months. But I mean 475 00:26:07,400 --> 00:26:10,440 Speaker 1: the turnover of restaurants down there is crazy. It's one 476 00:26:10,800 --> 00:26:13,639 Speaker 1: mom and pop restaurant after another that tries to start up, 477 00:26:13,840 --> 00:26:17,040 Speaker 1: and they fail because there's nobody with money to spend. 478 00:26:17,160 --> 00:26:19,880 Speaker 1: If you don't pay people in the town, they can't 479 00:26:19,960 --> 00:26:23,280 Speaker 1: go there and enjoy the restaurants. And you know the reason, 480 00:26:23,400 --> 00:26:26,040 Speaker 1: they don't ever get a chain restaurant that people know, 481 00:26:26,160 --> 00:26:28,000 Speaker 1: and there's not a I don't think there's a single 482 00:26:28,000 --> 00:26:31,080 Speaker 1: one in downtown Miskegan. I don't believe there's a single 483 00:26:31,160 --> 00:26:34,040 Speaker 1: chain down there. And the reason is that they look 484 00:26:34,160 --> 00:26:38,680 Speaker 1: at the economic income from that area and decide whether 485 00:26:38,760 --> 00:26:40,760 Speaker 1: or not people can afford to come to their restaurant 486 00:26:40,880 --> 00:26:43,720 Speaker 1: and know every single one has passed on Miskeigan because 487 00:26:43,760 --> 00:26:47,600 Speaker 1: there's no business there. And yet these electeds cannot get 488 00:26:47,600 --> 00:26:49,600 Speaker 1: it through their head that you have to try to 489 00:26:49,640 --> 00:26:52,400 Speaker 1: get people to come and work This is the same 490 00:26:52,480 --> 00:26:54,199 Speaker 1: chamber of commerce where the young people are like, we 491 00:26:54,200 --> 00:26:56,159 Speaker 1: want to be able to come at ten thirty and 492 00:26:56,160 --> 00:27:00,520 Speaker 1: everybody's like, yeah, there's so cool. It's very frustrat to 493 00:27:00,560 --> 00:27:03,840 Speaker 1: me that no one seems to get it. And if 494 00:27:03,840 --> 00:27:06,160 Speaker 1: you leave this state of miss area, state of Michigan 495 00:27:06,240 --> 00:27:10,080 Speaker 1: and you go to a Tennessee, you're like overwhelmed with 496 00:27:10,359 --> 00:27:14,400 Speaker 1: the excitement and the movement and the energy in the 497 00:27:14,560 --> 00:27:18,479 Speaker 1: entire state. That's not happening here. And yet we have 498 00:27:18,520 --> 00:27:22,120 Speaker 1: Whitmer going out and she's what campaigning in North Carolina 499 00:27:22,160 --> 00:27:25,760 Speaker 1: for Biden. I'm like, she has raised more money and 500 00:27:25,840 --> 00:27:29,080 Speaker 1: spent more time in other states raising money, but not 501 00:27:29,200 --> 00:27:32,359 Speaker 1: Bryant brought a single business to this state since she 502 00:27:32,480 --> 00:27:34,280 Speaker 1: started here, unless she goes to China. 503 00:27:34,359 --> 00:27:35,720 Speaker 3: Well, and the thing is that she's going to these 504 00:27:35,720 --> 00:27:38,399 Speaker 3: other states and touting the Michigan model, and I'm like, 505 00:27:38,880 --> 00:27:41,200 Speaker 3: I would avoid the Michigan model with at all class 506 00:27:41,240 --> 00:27:44,320 Speaker 3: at this point because Okay, I know she's talking politically 507 00:27:44,400 --> 00:27:47,280 Speaker 3: the Michigan model, but where has that gotten the everyday 508 00:27:47,359 --> 00:27:49,680 Speaker 3: citizens of Michigan. At the end of the day, people 509 00:27:49,680 --> 00:27:51,600 Speaker 3: want to go somewhere where they have a good job, 510 00:27:51,720 --> 00:27:54,639 Speaker 3: they're paid well, they can afford to buy a house. 511 00:27:55,040 --> 00:27:56,560 Speaker 3: I mean all of those things when you look at 512 00:27:56,600 --> 00:27:57,520 Speaker 3: like even interest rates. 513 00:27:57,520 --> 00:27:59,800 Speaker 1: There not enough people that live here that can tell 514 00:28:00,040 --> 00:28:03,840 Speaker 1: people how bad it is. She can hire behind the 515 00:28:03,880 --> 00:28:05,760 Speaker 1: fact that she has zero population. 516 00:28:06,359 --> 00:28:09,679 Speaker 4: And I think you make a good point that people 517 00:28:09,720 --> 00:28:13,119 Speaker 4: like Bill Lee are going to other states. When have 518 00:28:13,200 --> 00:28:17,400 Speaker 4: you ever heard of Gretchen Whitmer going to a different 519 00:28:17,440 --> 00:28:20,800 Speaker 4: state and bringing a company from a different state. That's 520 00:28:20,840 --> 00:28:23,800 Speaker 4: not happening. What she's doing is you said she's in 521 00:28:23,880 --> 00:28:27,600 Speaker 4: DC this week. She's in DC trying to get more 522 00:28:27,640 --> 00:28:32,159 Speaker 4: federal money for various projects, even though she's got a 523 00:28:32,280 --> 00:28:36,840 Speaker 4: record budget that she proposed another record budget, And so 524 00:28:38,120 --> 00:28:40,240 Speaker 4: what in the other thing that she's doing is she's 525 00:28:40,440 --> 00:28:44,200 Speaker 4: trying to bring Chinese companies, in South Korean companies, and 526 00:28:44,480 --> 00:28:48,800 Speaker 4: European companies into the state of Michigan with massive taxpayer 527 00:28:48,800 --> 00:28:49,720 Speaker 4: funded incentives. 528 00:28:49,800 --> 00:28:53,920 Speaker 1: I would argue she's not She's going to Japan and 529 00:28:54,320 --> 00:28:58,680 Speaker 1: all these different places because she wants to have international 530 00:28:58,720 --> 00:29:02,560 Speaker 1: travel on her punch card for president, and it has 531 00:29:02,760 --> 00:29:05,840 Speaker 1: nothing to do with the benefit of the state of Michigan. 532 00:29:06,200 --> 00:29:09,320 Speaker 1: I believe she has used taxpayer dollars to build up 533 00:29:09,360 --> 00:29:13,320 Speaker 1: her future presidential campaign with no intention of bringing a 534 00:29:13,360 --> 00:29:16,719 Speaker 1: single job to Michigan. She went to a company in 535 00:29:16,800 --> 00:29:21,840 Speaker 1: Japan that makes robots to eliminate people's jobs. Is completely 536 00:29:21,960 --> 00:29:24,320 Speaker 1: run by robots, and she's like, oh, we're thinking of 537 00:29:24,360 --> 00:29:27,360 Speaker 1: bringing them to Michigan. I'm like, awesome. I hope the 538 00:29:27,400 --> 00:29:31,200 Speaker 1: CEO has a great time jet skiing on the lakes 539 00:29:31,200 --> 00:29:33,880 Speaker 1: because apparently he's the only person that has to work there. Well, 540 00:29:33,880 --> 00:29:34,280 Speaker 1: and she. 541 00:29:34,280 --> 00:29:36,800 Speaker 3: Did technically go to other states. Remember she said she 542 00:29:36,840 --> 00:29:39,680 Speaker 3: was going to eat Indiana's lunch and take all their business. 543 00:29:39,680 --> 00:29:41,160 Speaker 3: But the way she was going to do that was 544 00:29:41,200 --> 00:29:44,000 Speaker 3: through abortion, not actually bringing jobs. She's just going to 545 00:29:44,080 --> 00:29:45,560 Speaker 3: lure people in with abortion. 546 00:29:45,960 --> 00:29:47,040 Speaker 4: She just ate the lunch. 547 00:29:47,400 --> 00:29:53,360 Speaker 1: Ye, she did eat their line that STI mind, you're 548 00:29:53,360 --> 00:29:54,200 Speaker 1: being very quiet. 549 00:29:54,840 --> 00:29:59,680 Speaker 2: Yeah, I don't know anything about this. I don't you know. 550 00:30:00,840 --> 00:30:04,320 Speaker 1: So have you been to Nashville lately? We went through 551 00:30:04,400 --> 00:30:05,880 Speaker 1: Nashville not long ago, didn't we? 552 00:30:06,840 --> 00:30:07,000 Speaker 2: Yeah? 553 00:30:07,080 --> 00:30:10,560 Speaker 1: Last year? Oh yes, sure, Yeah, Kyle just goes there 554 00:30:10,560 --> 00:30:11,440 Speaker 1: to go to gravesite. 555 00:30:11,440 --> 00:30:16,760 Speaker 4: But I think, but you're that's true, but your but 556 00:30:16,880 --> 00:30:21,280 Speaker 4: you have family here. If you were just separate your 557 00:30:21,280 --> 00:30:27,040 Speaker 4: family connection to Michigan, if you were looking for somewhere 558 00:30:27,080 --> 00:30:30,960 Speaker 4: to move, what would you be looking for? Would you 559 00:30:31,040 --> 00:30:34,280 Speaker 4: be looking for sort of I would you be looking for. 560 00:30:34,360 --> 00:30:37,680 Speaker 2: I want to be able to describe to people where 561 00:30:37,720 --> 00:30:42,600 Speaker 2: I live by showing them my hand. So Michigan really 562 00:30:42,680 --> 00:30:44,480 Speaker 2: is perfect for me on that front. 563 00:30:45,200 --> 00:30:46,800 Speaker 4: That doesn't pay the bills, though. 564 00:30:48,400 --> 00:30:52,640 Speaker 2: It could be a cool party trick. I just think. 565 00:30:53,000 --> 00:30:59,280 Speaker 4: I just think whether it's places like Tennessee, Nashville, or Dallas, Texas, 566 00:30:59,320 --> 00:31:05,000 Speaker 4: there's just a there's a different there's just a different mentality, 567 00:31:05,240 --> 00:31:10,320 Speaker 4: and I think there's a different attitude. And I think 568 00:31:10,760 --> 00:31:13,120 Speaker 4: one of the other complications is when your state like 569 00:31:13,160 --> 00:31:17,880 Speaker 4: Michigan and your population is shrinking, that means obviously there's 570 00:31:17,920 --> 00:31:22,120 Speaker 4: fewer taxes. It costs more to upkeep infrastructure that was 571 00:31:22,160 --> 00:31:26,440 Speaker 4: built for a significantly larger population, and people that live 572 00:31:26,440 --> 00:31:30,000 Speaker 4: in those communities where the infrastructure's falling apart, they expect 573 00:31:30,040 --> 00:31:34,800 Speaker 4: that to still be maintained and it's very expensive. 574 00:31:34,920 --> 00:31:37,480 Speaker 1: Well, because you don't have the you don't have the 575 00:31:37,480 --> 00:31:40,320 Speaker 1: tax base, So you can't fix the infrastructure if you 576 00:31:40,360 --> 00:31:42,640 Speaker 1: don't have the tax base. So you're right, you have 577 00:31:42,920 --> 00:31:46,520 Speaker 1: just as many roads, just as many bridges, maybe fewer people. 578 00:31:46,640 --> 00:31:48,600 Speaker 1: But the wear and tear has been over years and 579 00:31:48,640 --> 00:31:51,160 Speaker 1: there has not been the repair. Besides the fact that 580 00:31:51,200 --> 00:31:54,480 Speaker 1: she's saying she's fixing the roads, she's not. According to 581 00:31:54,600 --> 00:31:57,120 Speaker 1: the recent data that came out, they're even worse than 582 00:31:57,240 --> 00:32:00,960 Speaker 1: before she took office, and so she can't. She took 583 00:32:01,000 --> 00:32:04,800 Speaker 1: the money, she squandered it. She has made massive increases 584 00:32:04,920 --> 00:32:11,680 Speaker 1: in the state budget by just growing the government. Essentially, 585 00:32:11,680 --> 00:32:15,480 Speaker 1: she created another Department of ED. I mean, it's insane. 586 00:32:15,560 --> 00:32:18,440 Speaker 1: They will do anything to put people on their payroll, 587 00:32:18,840 --> 00:32:23,280 Speaker 1: and that is robbing the state. What I think people 588 00:32:23,320 --> 00:32:26,400 Speaker 1: don't understand is the more these government agencies that you 589 00:32:26,400 --> 00:32:28,400 Speaker 1: hear in the news, all that stuff, do not let 590 00:32:28,440 --> 00:32:31,479 Speaker 1: this go. Because when you hear of your governor or 591 00:32:32,400 --> 00:32:36,080 Speaker 1: somebody in your state, your even your town, growing the 592 00:32:36,120 --> 00:32:39,720 Speaker 1: city government or growing the state government, recognize that that 593 00:32:39,920 --> 00:32:42,600 Speaker 1: is taking money away from the crucial programs that you need, 594 00:32:42,640 --> 00:32:47,600 Speaker 1: the police, from the infrastructure, from anything that you rely 595 00:32:47,760 --> 00:32:50,920 Speaker 1: on government for. And these will be agencies. They will 596 00:32:50,960 --> 00:32:52,800 Speaker 1: never do a thing for you. They will never do 597 00:32:52,840 --> 00:32:54,840 Speaker 1: a thing for you. There's no reason for a second 598 00:32:54,880 --> 00:32:57,640 Speaker 1: Department of ED in a state that is failing in education. 599 00:32:57,880 --> 00:33:00,400 Speaker 1: What you should do is hold use the current permanent 600 00:33:00,440 --> 00:33:02,680 Speaker 1: bed and hold them accountable, but that's not going to. 601 00:33:02,680 --> 00:33:08,280 Speaker 4: Happen, or change change the constitutions, and to create an 602 00:33:08,400 --> 00:33:11,680 Speaker 4: education system that makes sense. But she's not doing that 603 00:33:12,280 --> 00:33:16,560 Speaker 4: because it's probably too much work, and instead she's just 604 00:33:16,680 --> 00:33:17,960 Speaker 4: creating more bureaucracy. 605 00:33:18,080 --> 00:33:20,000 Speaker 1: Well, now she has to go out and campaign for 606 00:33:20,080 --> 00:33:24,160 Speaker 1: Joe Biden because he can't speak for himself apparently. And 607 00:33:24,480 --> 00:33:27,600 Speaker 1: I think it's interesting that this is coming out, and Sarah, 608 00:33:27,600 --> 00:33:29,640 Speaker 1: you have the story about it, but I think it's 609 00:33:29,640 --> 00:33:34,560 Speaker 1: interesting that it's coming out because the mainstream media can't 610 00:33:34,680 --> 00:33:38,280 Speaker 1: hide it anymore that he can't speak. I mean, what 611 00:33:38,400 --> 00:33:42,000 Speaker 1: we've seen going on with the attacks on Donald Trump 612 00:33:42,360 --> 00:33:45,160 Speaker 1: are insane, but you couple that with a guy who 613 00:33:45,600 --> 00:33:50,040 Speaker 1: who is not mentally capable of being president becomes very dangerous. Yeah. 614 00:33:50,080 --> 00:33:51,640 Speaker 3: I mean there's a story in the Wall Street Journal 615 00:33:51,680 --> 00:33:54,320 Speaker 3: this morning and the title is behind closed Doors Biden 616 00:33:54,360 --> 00:33:57,000 Speaker 3: shows signs of slipping, which I think is a little 617 00:33:57,000 --> 00:33:59,600 Speaker 3: bit ironic because it's not just behind closed doors. I mean, 618 00:33:59,640 --> 00:34:01,600 Speaker 3: I think we can all see it, but it's not 619 00:34:01,760 --> 00:34:04,080 Speaker 3: some quick hit. I mean, the Wall Street Journal is 620 00:34:04,120 --> 00:34:06,480 Speaker 3: not just writing some quick hit that they could go 621 00:34:06,560 --> 00:34:09,200 Speaker 3: after him. I mean, this is forty five interviews. They 622 00:34:09,280 --> 00:34:11,880 Speaker 3: obviously make the point that it's more Republicans than Democrats, 623 00:34:11,880 --> 00:34:14,600 Speaker 3: but Democrats are included in this, and it's over months 624 00:34:14,600 --> 00:34:17,480 Speaker 3: of conversation where they talk about meetings with Joe Biden 625 00:34:17,840 --> 00:34:20,480 Speaker 3: or instances that they've had with him where he just 626 00:34:20,600 --> 00:34:24,680 Speaker 3: genuinely is reading from notes, closing his eyes for extended periods. 627 00:34:24,719 --> 00:34:27,799 Speaker 3: He's mixing key leaders up. I mean, I get it, 628 00:34:27,920 --> 00:34:31,440 Speaker 3: people fumble names, it happens, but when you're talking about 629 00:34:31,480 --> 00:34:33,800 Speaker 3: I mean, in twenty twenty one, I think he was 630 00:34:33,840 --> 00:34:35,880 Speaker 3: at one of the g twenty summits and he was 631 00:34:36,000 --> 00:34:38,760 Speaker 3: referencing a French leader that had died in the nineties, 632 00:34:39,320 --> 00:34:41,239 Speaker 3: and that he was saying he talked to him that week. 633 00:34:41,280 --> 00:34:44,680 Speaker 3: I mean, that's a new level of confusion, if we're 634 00:34:44,680 --> 00:34:46,840 Speaker 3: going to call it that. But I think it's starting 635 00:34:46,840 --> 00:34:49,600 Speaker 3: to come out now, and at a certain point we 636 00:34:49,680 --> 00:34:51,600 Speaker 3: have to say, are we going to actually allow this 637 00:34:51,640 --> 00:34:53,920 Speaker 3: to happen anymore? Because I don't think this man's running 638 00:34:53,920 --> 00:34:55,680 Speaker 3: the country. I mean, you look at some of these stories, 639 00:34:55,719 --> 00:34:56,960 Speaker 3: and you look at all the things that you hear. 640 00:34:57,200 --> 00:34:58,920 Speaker 3: It's not just behind closed doors. I mean it's in 641 00:34:59,280 --> 00:35:01,120 Speaker 3: you can all see it on camera. There's one quote 642 00:35:01,160 --> 00:35:03,279 Speaker 3: that I think is funny. One of the Democrats was 643 00:35:03,280 --> 00:35:05,279 Speaker 3: trying to save him and say, yeah, what you see 644 00:35:05,280 --> 00:35:07,480 Speaker 3: on TV is what you get. What I see on 645 00:35:07,520 --> 00:35:08,480 Speaker 3: TV is pretty scary. 646 00:35:09,239 --> 00:35:12,040 Speaker 1: Well. I think that one of the statements in there 647 00:35:12,120 --> 00:35:15,680 Speaker 1: is that in these meetings he's closing his eyes and 648 00:35:16,080 --> 00:35:19,040 Speaker 1: people have wondered if he's completely zoned out, and they're like, 649 00:35:19,440 --> 00:35:24,759 Speaker 1: is he still awake? Is he paying attention? It's I 650 00:35:24,800 --> 00:35:28,640 Speaker 1: mean that alone should be he should have stepped down. 651 00:35:29,600 --> 00:35:32,319 Speaker 1: The problem is there is no answer for this. If 652 00:35:32,360 --> 00:35:36,799 Speaker 1: somebody who has no mental acuity wants to run for office, 653 00:35:37,040 --> 00:35:41,319 Speaker 1: you can, and the only answer is that people don't 654 00:35:41,400 --> 00:35:45,560 Speaker 1: vote for him. However, it's an unusual situation because the 655 00:35:46,120 --> 00:35:49,880 Speaker 1: Wall Street Journal is unique in reporting this. Most of 656 00:35:49,920 --> 00:35:52,880 Speaker 1: these people are just holding his water and protecting him. 657 00:35:52,920 --> 00:35:56,319 Speaker 1: If you look at the CNNs and the MSNBC's of 658 00:35:56,320 --> 00:35:59,280 Speaker 1: the world, man, they are all about protecting Joe Biden. 659 00:35:59,360 --> 00:36:02,120 Speaker 3: Well, and we look at some things as funny, like 660 00:36:02,160 --> 00:36:05,680 Speaker 3: he talked about his uncle that was eaten by cannibals, 661 00:36:06,400 --> 00:36:08,440 Speaker 3: But the under like the flip side of that is 662 00:36:08,520 --> 00:36:11,560 Speaker 3: he actually kind of caused international outcry because the leader 663 00:36:11,560 --> 00:36:13,840 Speaker 3: of Papa New Guinea came out and essentially said he 664 00:36:13,920 --> 00:36:18,120 Speaker 3: was offended, and here we are offending other international leaders 665 00:36:18,160 --> 00:36:21,879 Speaker 3: because of crazy tales that our president is making. 666 00:36:22,120 --> 00:36:25,200 Speaker 4: That he didn't he didn't have to talk about that. Yeah, 667 00:36:25,239 --> 00:36:30,160 Speaker 4: it was like an unforced error. I think, well, when 668 00:36:30,200 --> 00:36:32,640 Speaker 4: you I see a lot of these clips and it's 669 00:36:32,680 --> 00:36:37,880 Speaker 4: it's uncomfortable and it's disturbing. And there have been instances 670 00:36:37,920 --> 00:36:42,080 Speaker 4: where the audience has sort of laughed at him because 671 00:36:42,080 --> 00:36:45,000 Speaker 4: of the things he said, or he's like mid thought 672 00:36:45,040 --> 00:36:47,680 Speaker 4: and all of a sudden, well, I'm not going to 673 00:36:47,719 --> 00:36:52,000 Speaker 4: get into that, and it just is very uncomfortable. And 674 00:36:52,200 --> 00:36:54,759 Speaker 4: there was there was a time he didn't interview with 675 00:36:54,840 --> 00:36:59,680 Speaker 4: Time where he mixed up Putin and she And you know, 676 00:37:00,160 --> 00:37:03,520 Speaker 4: as you said, Sarah, people make mistakes all the time. 677 00:37:04,160 --> 00:37:06,760 Speaker 4: But you know, if he's on some high stakes phone 678 00:37:06,760 --> 00:37:13,000 Speaker 4: call and he's you know, babbling incoherently, that can have 679 00:37:13,080 --> 00:37:16,680 Speaker 4: real world implications. And so the things that are happening 680 00:37:17,200 --> 00:37:20,759 Speaker 4: and if this is what we're seeing in public, imagine 681 00:37:20,760 --> 00:37:23,240 Speaker 4: what actually is happening behind closed doors. 682 00:37:23,520 --> 00:37:25,560 Speaker 3: They were trying to say that. At one point I 683 00:37:25,640 --> 00:37:27,960 Speaker 3: heard him talk about how young people will like him 684 00:37:28,000 --> 00:37:31,560 Speaker 3: because they will he will be like their grandpa. And 685 00:37:31,600 --> 00:37:33,320 Speaker 3: that's what I just like, es one, You're the youngest 686 00:37:33,320 --> 00:37:35,000 Speaker 3: one here. I mean, do you think of Joe Biden? 687 00:37:35,040 --> 00:37:37,560 Speaker 3: Do you want your president to be like your lovable 688 00:37:37,920 --> 00:37:40,240 Speaker 3: old grandpa that maybe gets confused sometimes. 689 00:37:41,440 --> 00:37:46,480 Speaker 2: No. But but I'll say this, I have a theory. 690 00:37:47,080 --> 00:37:51,320 Speaker 2: There was this conspiracy that Boris Johnson, who was notoriously 691 00:37:51,520 --> 00:37:55,799 Speaker 2: unkept and kind of a klutz and stuff like that. 692 00:37:55,840 --> 00:37:57,920 Speaker 2: There was a theory that he did it because it 693 00:37:58,040 --> 00:38:01,800 Speaker 2: made him look more human and people liked him better. 694 00:38:02,680 --> 00:38:06,319 Speaker 2: I think behind closed doors, Joe Biden is like the 695 00:38:06,320 --> 00:38:11,200 Speaker 2: Wolf of Wall Street. He's making deals. Wow, he's in 696 00:38:11,239 --> 00:38:13,640 Speaker 2: command of everything, and then when he goes in front 697 00:38:13,680 --> 00:38:17,799 Speaker 2: of a camera, he puts on the dementia hat and 698 00:38:17,800 --> 00:38:20,560 Speaker 2: he's just, you know, he's a little quiet and a 699 00:38:20,600 --> 00:38:21,360 Speaker 2: little confused. 700 00:38:21,440 --> 00:38:25,680 Speaker 4: There was an snl skit of Ronald Reagan where that 701 00:38:25,840 --> 00:38:30,160 Speaker 4: was the premise. It was like when he was when 702 00:38:30,200 --> 00:38:32,440 Speaker 4: the door was closed in the Oval office, he was, 703 00:38:32,640 --> 00:38:35,600 Speaker 4: you know, barking commands and he had this map. Maybe 704 00:38:35,640 --> 00:38:36,520 Speaker 4: he was like the general. 705 00:38:36,600 --> 00:38:40,080 Speaker 2: But it's not that it's not that unrealistic. I mean 706 00:38:40,360 --> 00:38:43,400 Speaker 2: Lyndon Johnson had the kind of you know, happy, go 707 00:38:43,560 --> 00:38:47,200 Speaker 2: lucky Southern appeal, and then behind closed doors he was 708 00:38:47,280 --> 00:38:49,360 Speaker 2: towering over people, kind of threatening. 709 00:38:49,560 --> 00:38:52,080 Speaker 1: I mean, I think there's the chance that he's very angry. 710 00:38:52,120 --> 00:38:54,560 Speaker 1: But his brand has always been to be like this 711 00:38:54,680 --> 00:38:58,440 Speaker 1: master negotiator, and he was always very sharp as a 712 00:38:58,480 --> 00:39:02,440 Speaker 1: senator and kind of he would mock people and he 713 00:39:03,239 --> 00:39:07,719 Speaker 1: was cutthroat, Like when he was at his best, he 714 00:39:07,960 --> 00:39:12,319 Speaker 1: was cutthroat and he was in command. And I think 715 00:39:12,400 --> 00:39:16,560 Speaker 1: that's why his mindset was always that he would be president, 716 00:39:16,680 --> 00:39:22,120 Speaker 1: because his trajectory was definitely going there. Obama screwed that up. 717 00:39:22,480 --> 00:39:27,520 Speaker 1: I mean, I believe that he would have probably run. 718 00:39:27,760 --> 00:39:30,279 Speaker 1: I mean, he's tried to run several times. He had 719 00:39:30,280 --> 00:39:34,600 Speaker 1: to step out because of his plagiarism. I watched that 720 00:39:35,239 --> 00:39:39,319 Speaker 1: whole speech of him stepping out of the race in 721 00:39:39,400 --> 00:39:44,600 Speaker 1: what it was at eighty eight and recently, and I 722 00:39:44,640 --> 00:39:47,240 Speaker 1: almost wonder if that was the Bernie Sander his Bernie 723 00:39:47,320 --> 00:39:49,640 Speaker 1: Sanders moment, where like the DNC went to him and 724 00:39:49,640 --> 00:39:52,080 Speaker 1: they were like, it's not your time, man, step aside. 725 00:39:52,280 --> 00:39:55,440 Speaker 1: We're not running you and you're going to go and 726 00:39:55,560 --> 00:39:57,680 Speaker 1: we're not going to take go with this plagiarism story. 727 00:39:57,719 --> 00:40:00,160 Speaker 1: You're gonna say, I screwed up and step out, and 728 00:40:00,200 --> 00:40:04,920 Speaker 1: he essentially did. Jill's face during that press conference is 729 00:40:04,960 --> 00:40:09,360 Speaker 1: the most telling to me. She is not the loving, 730 00:40:09,480 --> 00:40:13,200 Speaker 1: concerned I'm standing by him wife. She is the whoever 731 00:40:13,280 --> 00:40:15,160 Speaker 1: did this to us is going to pay. And I 732 00:40:15,239 --> 00:40:19,320 Speaker 1: assume that they have dearly paid, because I think Jill 733 00:40:19,480 --> 00:40:23,279 Speaker 1: is a mastermind and she is probably managing a lot 734 00:40:23,280 --> 00:40:25,560 Speaker 1: of what's happening in the White House. Let's take a 735 00:40:25,640 --> 00:40:29,839 Speaker 1: quick commercial break. We'll continue next on the Tutor Dixon podcast. 736 00:40:32,760 --> 00:40:36,000 Speaker 1: I get what you're saying on Joe Biden. I think 737 00:40:36,040 --> 00:40:40,080 Speaker 1: it's fairly obvious that he has passed his prime. I 738 00:40:40,120 --> 00:40:44,400 Speaker 1: think that the Joe Biden of his sharp Senate days 739 00:40:45,320 --> 00:40:48,759 Speaker 1: would be humiliated if he understood what was happening to 740 00:40:48,920 --> 00:40:51,279 Speaker 1: him today. I think most of what is happening he 741 00:40:51,320 --> 00:40:55,160 Speaker 1: doesn't understand. I think he's also most people who have 742 00:40:55,400 --> 00:40:58,759 Speaker 1: had a relative with dementia watch him and they're like, 743 00:40:59,640 --> 00:41:04,040 Speaker 1: this anger, These bursts of screaming and yelling are very 744 00:41:04,160 --> 00:41:08,200 Speaker 1: much signs of dementia. And who is allowing this to happen? 745 00:41:08,239 --> 00:41:13,680 Speaker 1: And I mean Jill supposedly did not want Kamala Harris, 746 00:41:13,719 --> 00:41:17,640 Speaker 1: but whoever, whoever had that idea set this up perfectly 747 00:41:17,719 --> 00:41:21,640 Speaker 1: because she walks in and she looks like she's got 748 00:41:22,040 --> 00:41:24,000 Speaker 1: not a brain cell to rub together. I mean, she 749 00:41:24,040 --> 00:41:25,960 Speaker 1: doesn't have two brain cells to rub together. She's walking 750 00:41:26,000 --> 00:41:28,960 Speaker 1: behind him the other day, just the look on her 751 00:41:29,040 --> 00:41:32,960 Speaker 1: face is so goofy. It's like, wait a minute, like 752 00:41:33,000 --> 00:41:35,840 Speaker 1: you were a big time Wasn't she the district attorney 753 00:41:36,160 --> 00:41:37,320 Speaker 1: or the attorney general? 754 00:41:37,480 --> 00:41:40,200 Speaker 4: Yeah, California of California. 755 00:41:40,239 --> 00:41:43,800 Speaker 1: And I'm like, she walks into these events and she's 756 00:41:45,120 --> 00:41:49,799 Speaker 1: just unprofessional, goofy, laughing, like looking at people like, oh 757 00:41:49,880 --> 00:41:51,880 Speaker 1: my gosh, it's the first time. It reminds me of 758 00:41:51,920 --> 00:41:54,960 Speaker 1: when those balloons dropped from the ceiling. Every time I 759 00:41:55,000 --> 00:41:57,280 Speaker 1: see Kamala Harris, she's making the same face as Hillary 760 00:41:57,320 --> 00:42:00,319 Speaker 1: when she's like, oh, look at the balloons. You know, 761 00:42:00,719 --> 00:42:07,560 Speaker 1: I just don't believe that he is mentally healthy because 762 00:42:08,440 --> 00:42:11,160 Speaker 1: they've set it up so that it's not him. It's 763 00:42:11,200 --> 00:42:14,640 Speaker 1: not about him. It's not about Kamala. It's about the bureaucracy. 764 00:42:14,880 --> 00:42:17,560 Speaker 1: The swamp that we hear about is running the country. 765 00:42:17,640 --> 00:42:19,560 Speaker 3: I mean, I think Kamala kind of screwed him over 766 00:42:19,680 --> 00:42:22,800 Speaker 3: because she he was only supposed to run one term. 767 00:42:22,880 --> 00:42:25,279 Speaker 1: That's another thing. He was clearly that was. 768 00:42:25,239 --> 00:42:28,200 Speaker 3: Like his promise. Well, why does that promise suddenly change 769 00:42:28,239 --> 00:42:31,880 Speaker 3: because Kamala is fully incompetent and they know that she could. 770 00:42:31,200 --> 00:42:36,400 Speaker 1: Or or he's screwing over the diverse person that he chose. 771 00:42:36,680 --> 00:42:40,040 Speaker 1: Because he chose her not just because of her background 772 00:42:40,120 --> 00:42:43,520 Speaker 1: as an attorney general and someone who had command of 773 00:42:43,960 --> 00:42:46,080 Speaker 1: this you know, she was a senator, she had command 774 00:42:46,120 --> 00:42:48,840 Speaker 1: of the rule of law. But he also he was 775 00:42:49,000 --> 00:42:51,080 Speaker 1: very open about the fact that he chose her because 776 00:42:51,120 --> 00:42:55,120 Speaker 1: of her color. Yeah, and he is now not I'm sorry, 777 00:42:55,160 --> 00:42:58,200 Speaker 1: but he's not stepping down after he promised that he 778 00:42:58,239 --> 00:43:01,799 Speaker 1: would and essentially kind of conned her into I'll give 779 00:43:01,840 --> 00:43:04,960 Speaker 1: you this job when I'm done. And then oh, they 780 00:43:05,000 --> 00:43:07,480 Speaker 1: handed her every crap thing they could while she they 781 00:43:07,520 --> 00:43:11,240 Speaker 1: were in office. I mean, they have tortured the first 782 00:43:11,239 --> 00:43:16,480 Speaker 1: female black president, female and black vice president and he's 783 00:43:16,520 --> 00:43:18,239 Speaker 1: not even being caught on the carpetfore it. 784 00:43:18,840 --> 00:43:22,279 Speaker 4: You have to wonder, I'm wondering what role the Hunter 785 00:43:22,360 --> 00:43:25,280 Speaker 4: Biden gun case is playing in all of this, because 786 00:43:25,840 --> 00:43:30,240 Speaker 4: I saw a clip from Trey Goudi where he said, 787 00:43:30,600 --> 00:43:34,000 Speaker 4: I used to prosecute for six years, they prosecuted gun crimes. 788 00:43:34,800 --> 00:43:38,239 Speaker 4: And he said, I'm I can think of probably ten 789 00:43:38,400 --> 00:43:43,920 Speaker 4: cases where the circumstances, you know, drugs and or a 790 00:43:43,920 --> 00:43:49,200 Speaker 4: false statement on an application actually led to what Hunter 791 00:43:49,280 --> 00:43:55,640 Speaker 4: Biden is currently enduring that that trial. And so I 792 00:43:55,760 --> 00:43:58,400 Speaker 4: sort of wonder is which is a federal it's a 793 00:43:58,440 --> 00:44:01,680 Speaker 4: federal case, and I sort of wonder is Joe Biden 794 00:44:01,760 --> 00:44:05,600 Speaker 4: hanging on? So if Hunter gets convicted, he's able to 795 00:44:05,640 --> 00:44:11,000 Speaker 4: pardon him, because don't I don't know what other reason 796 00:44:11,280 --> 00:44:15,200 Speaker 4: I mean. And again, I you know, he's eighty how 797 00:44:15,239 --> 00:44:19,520 Speaker 4: old is he eighty something years old? And you would 798 00:44:19,560 --> 00:44:22,760 Speaker 4: think and he's been in Congress and was vice president 799 00:44:22,840 --> 00:44:25,360 Speaker 4: for eight years. He's been around. He's been around this 800 00:44:25,480 --> 00:44:28,279 Speaker 4: game for a very long time. And he now he 801 00:44:28,360 --> 00:44:32,399 Speaker 4: was elected president. He's hit the pinnacle. I suppose the 802 00:44:32,400 --> 00:44:34,760 Speaker 4: next best thing you can do is be re elected. 803 00:44:35,400 --> 00:44:39,000 Speaker 4: But he's got kids, he has a son that died, 804 00:44:39,280 --> 00:44:44,080 Speaker 4: He's got a lot of tragedy in his history. Correct, 805 00:44:44,360 --> 00:44:48,160 Speaker 4: And so at what point do you just say, I've 806 00:44:48,320 --> 00:44:51,160 Speaker 4: lived my political life and now I'm going to live 807 00:44:51,480 --> 00:44:55,000 Speaker 4: my remaining days with my family. But he's not doing that, 808 00:44:55,200 --> 00:44:58,400 Speaker 4: and it just I don't know, maybe we're just different people, 809 00:44:58,480 --> 00:45:00,120 Speaker 4: but that just doesn't make any sense to me. 810 00:45:00,239 --> 00:45:02,120 Speaker 1: No, but you would say if you had to pardon 811 00:45:02,160 --> 00:45:04,040 Speaker 1: your child. I mean, that's a good point. 812 00:45:05,480 --> 00:45:08,319 Speaker 4: I just it just doesn't make any sense. And and 813 00:45:08,360 --> 00:45:11,040 Speaker 4: I think you're I think Jill is the driver of 814 00:45:11,120 --> 00:45:15,720 Speaker 4: the whole bus right now, and she apparently doesn't like Kamala. 815 00:45:16,000 --> 00:45:19,359 Speaker 4: And so there's that whole dynamic, and it just as 816 00:45:19,440 --> 00:45:22,239 Speaker 4: if it's a lot of soap opera going on. But 817 00:45:23,920 --> 00:45:28,200 Speaker 4: you know, the Biden family dirty laundry is being aired 818 00:45:28,440 --> 00:45:31,759 Speaker 4: with the texts about Jill and the reading the book 819 00:45:31,920 --> 00:45:36,280 Speaker 4: and all of that, which which is also very strange 820 00:45:36,320 --> 00:45:40,000 Speaker 4: because it's the it's the Biden Department of Justice that 821 00:45:40,239 --> 00:45:43,560 Speaker 4: is dragging the Biden family through the mud in an 822 00:45:43,560 --> 00:45:47,200 Speaker 4: election year. They could have done this last year, the 823 00:45:47,280 --> 00:45:50,880 Speaker 4: year before this. You know, the the laptop, the FBI 824 00:45:51,040 --> 00:45:55,040 Speaker 4: had that laptop which they finally this week admitted is real, 825 00:45:55,800 --> 00:45:56,600 Speaker 4: which they had. 826 00:45:56,719 --> 00:46:01,160 Speaker 3: You remember I thought it exactly Well, now the Federal 827 00:46:01,200 --> 00:46:02,959 Speaker 3: Department of Justice. 828 00:46:04,719 --> 00:46:08,680 Speaker 4: Admitted it, admitted it as evidence as it's legitimate and real. 829 00:46:10,080 --> 00:46:13,360 Speaker 4: And so it just the whole thing is embarrassing to 830 00:46:13,400 --> 00:46:17,480 Speaker 4: the Biden family, and it's kind of shocking that it's happening. 831 00:46:17,680 --> 00:46:21,279 Speaker 4: And so I just think that's why he's could be 832 00:46:21,320 --> 00:46:22,120 Speaker 4: why he's holding on. 833 00:46:23,680 --> 00:46:26,879 Speaker 1: So why run for office if you're just gonna I mean, 834 00:46:26,960 --> 00:46:31,239 Speaker 1: both of our presidential candidates their families are just being 835 00:46:31,400 --> 00:46:36,880 Speaker 1: dragged through legal peril and having all of their dirty 836 00:46:36,920 --> 00:46:39,120 Speaker 1: laundry aired. And I get the people that are like, oh, 837 00:46:39,200 --> 00:46:41,919 Speaker 1: you decided to be a public official and this has 838 00:46:42,000 --> 00:46:45,960 Speaker 1: to come out. I think that if it affects your 839 00:46:45,960 --> 00:46:48,840 Speaker 1: ability to do your job, that makes sense. If you 840 00:46:49,040 --> 00:46:52,879 Speaker 1: are having a lurid affair with somebody who is also 841 00:46:53,000 --> 00:46:55,120 Speaker 1: in power and taking over the state during I don't know, 842 00:46:55,160 --> 00:46:58,600 Speaker 1: a pandemic, then yeah, that should be exposed. But if 843 00:46:58,640 --> 00:47:04,279 Speaker 1: you are, if you have something like this, I don't know. 844 00:47:04,520 --> 00:47:08,239 Speaker 1: I mean, it's just it's become That's why people call 845 00:47:08,320 --> 00:47:10,520 Speaker 1: the United States a been ana republic, and that's why 846 00:47:10,560 --> 00:47:12,719 Speaker 1: people are very concerned about the future if you're just 847 00:47:12,800 --> 00:47:16,160 Speaker 1: going to prosecute. But to your point, this is the 848 00:47:16,239 --> 00:47:20,480 Speaker 1: Bided Justice Department prosecuting his son, and maybe that's I 849 00:47:20,480 --> 00:47:23,600 Speaker 1: don't it just is it is bizarre, and there I 850 00:47:23,640 --> 00:47:25,839 Speaker 1: don't think anybody takes joy in these things. I think 851 00:47:25,880 --> 00:47:28,360 Speaker 1: there are people who go online and take joy in this, 852 00:47:28,520 --> 00:47:31,520 Speaker 1: and that is also becoming sad for society right now. 853 00:47:32,080 --> 00:47:36,000 Speaker 4: Yeah, so I guess I give them credit because you know, 854 00:47:36,040 --> 00:47:39,080 Speaker 4: of course, the rhetoric from the administration is, you know, 855 00:47:39,120 --> 00:47:42,360 Speaker 4: they love to talk about gun violence and you know, 856 00:47:43,160 --> 00:47:46,400 Speaker 4: lump those two words together. Well, if you look at 857 00:47:46,480 --> 00:47:50,759 Speaker 4: the accusations against Hunter Biden and the circumstances and all 858 00:47:50,800 --> 00:47:55,239 Speaker 4: of that, he absolutely if they are consistent, which there's 859 00:47:55,320 --> 00:47:59,520 Speaker 4: not much consistency in politics, but if they are consistent 860 00:47:59,560 --> 00:48:02,640 Speaker 4: and having any shred of integrity, he has to be 861 00:48:03,320 --> 00:48:07,840 Speaker 4: held accountable for that. And it's fascinating that the DOJ 862 00:48:08,600 --> 00:48:10,879 Speaker 4: is doing that and going about it in the way 863 00:48:10,920 --> 00:48:11,399 Speaker 4: that they are. 864 00:48:12,040 --> 00:48:13,879 Speaker 1: I mean, I think that these are the things that 865 00:48:13,920 --> 00:48:16,799 Speaker 1: we are exploring because there is a question as to 866 00:48:16,880 --> 00:48:21,520 Speaker 1: what you should be held accountable to and when this 867 00:48:21,760 --> 00:48:24,640 Speaker 1: just becomes a partisan attack, and I mean, I do 868 00:48:25,080 --> 00:48:29,360 Speaker 1: honestly think there are sincere things happening behind closed doors 869 00:48:29,560 --> 00:48:34,000 Speaker 1: in states and in the federal government that are being 870 00:48:34,040 --> 00:48:37,279 Speaker 1: covered up and in those cases they shouldn't be, and 871 00:48:37,320 --> 00:48:41,000 Speaker 1: the true crimes that should not be or true corruption 872 00:48:41,080 --> 00:48:44,799 Speaker 1: that should not be. But I think that people are 873 00:48:44,800 --> 00:48:51,120 Speaker 1: getting confused with what campaigning is and politically taking out 874 00:48:51,160 --> 00:48:54,440 Speaker 1: your opponent in some other way. And I mean, we 875 00:48:54,560 --> 00:48:57,680 Speaker 1: see that with Trump, and I think that what happened 876 00:48:57,719 --> 00:49:00,000 Speaker 1: with Donald Trump is going to go down in history 877 00:49:00,400 --> 00:49:03,400 Speaker 1: as like the beginning of the end if something doesn't 878 00:49:03,480 --> 00:49:05,680 Speaker 1: change in this country. And I don't know. I mean, 879 00:49:05,719 --> 00:49:08,600 Speaker 1: we you know, everybody's very confident in the polls, and 880 00:49:09,000 --> 00:49:12,240 Speaker 1: I just say that everybody better be on their toes 881 00:49:12,320 --> 00:49:15,800 Speaker 1: come election time and be out there talking to their neighbors, 882 00:49:15,840 --> 00:49:20,719 Speaker 1: getting talking to door knocking, planning real events. But I 883 00:49:20,800 --> 00:49:25,319 Speaker 1: don't know. We'll see if that's happening. We will see. 884 00:49:25,360 --> 00:49:28,920 Speaker 1: We'll keep everybody posted. So I will sign off for 885 00:49:29,000 --> 00:49:33,000 Speaker 1: all of us now for the Tutor Dixon Podcast. As always, 886 00:49:33,000 --> 00:49:35,759 Speaker 1: for this episode, go to Tutor Dixon podcast dot com 887 00:49:35,800 --> 00:49:39,200 Speaker 1: and subscribe right there, or check out the iHeartRadio app, 888 00:49:39,200 --> 00:49:42,160 Speaker 1: Apple Podcasts, or wherever you get your podcasts and join 889 00:49:42,239 --> 00:49:45,200 Speaker 1: us next time on the Tutor Dixon Podcast. Have a blessing,