1 00:00:00,480 --> 00:00:08,039 Speaker 1: You're listening to KFI AM six forty on demand Thanksgiving weekend. 2 00:00:08,760 --> 00:00:10,600 Speaker 1: Glad to spend some time with you. Thank you for 3 00:00:10,600 --> 00:00:14,160 Speaker 1: spending time with me. Doing a little shopping here, trying 4 00:00:14,160 --> 00:00:17,479 Speaker 1: to find the good deals. And I'm on Amazon trying 5 00:00:17,520 --> 00:00:20,120 Speaker 1: to figure out what should I get my wife. Do 6 00:00:20,160 --> 00:00:22,200 Speaker 1: you think she would want a slushy maker? 7 00:00:22,760 --> 00:00:25,000 Speaker 2: It's on sale? Who doesn't want one of those? That's 8 00:00:25,040 --> 00:00:25,760 Speaker 2: what I was thinking. 9 00:00:25,800 --> 00:00:28,240 Speaker 3: Tony has one of those Tony Sorrentino, but we can't 10 00:00:28,240 --> 00:00:30,120 Speaker 3: ask him about it because he's not here tonight. But 11 00:00:30,160 --> 00:00:32,120 Speaker 3: he loves it. He loves his slushy makers. There a 12 00:00:32,159 --> 00:00:34,040 Speaker 3: slushy maker, really And I don't know if you knew this, 13 00:00:34,080 --> 00:00:37,040 Speaker 3: but you can put booze in them. 14 00:00:38,040 --> 00:00:39,839 Speaker 4: I did not know that for sure, but if I 15 00:00:39,840 --> 00:00:42,320 Speaker 4: had a slushy maker it we would be giving out 16 00:00:42,360 --> 00:00:44,440 Speaker 4: a shot, regardless of what the instructions say. 17 00:00:44,479 --> 00:00:46,800 Speaker 2: I see, yeah, you know what I got her last 18 00:00:46,840 --> 00:00:47,600 Speaker 2: year that she loved. 19 00:00:47,600 --> 00:00:47,640 Speaker 3: You. 20 00:00:47,680 --> 00:00:51,599 Speaker 4: Remember we were running those ads for that Bartisian Oh yeah, yeah, 21 00:00:51,720 --> 00:00:55,480 Speaker 4: Oh my gosh, and we had at one point the 22 00:00:55,600 --> 00:00:58,360 Speaker 4: company was offering like any insider discount and I didn't 23 00:00:58,440 --> 00:01:00,000 Speaker 4: jump on it at the time, so I ended up paying. 24 00:01:00,640 --> 00:01:02,160 Speaker 4: I didn't pay full price, but I paid like the 25 00:01:02,240 --> 00:01:03,840 Speaker 4: you know, like the Christmas sale price. 26 00:01:04,680 --> 00:01:05,759 Speaker 2: My wife loves that thing. 27 00:01:06,520 --> 00:01:08,120 Speaker 4: Oh, it's like if you're ut familiar, it's like a 28 00:01:08,200 --> 00:01:10,360 Speaker 4: currig for alcohol. 29 00:01:10,720 --> 00:01:10,959 Speaker 2: Yeah. 30 00:01:10,959 --> 00:01:13,000 Speaker 3: So on the one hand, I want, you know who 31 00:01:13,040 --> 00:01:15,560 Speaker 3: can't make a cocktail themselves, But on the other it 32 00:01:15,600 --> 00:01:16,400 Speaker 3: looks pretty fun. 33 00:01:16,800 --> 00:01:19,600 Speaker 2: It is. Plus here's the other thing. 34 00:01:19,600 --> 00:01:22,320 Speaker 4: I can make a cocktail myself, but in this case, 35 00:01:22,680 --> 00:01:25,000 Speaker 4: it's got like these flavor cups, and so I don't 36 00:01:25,000 --> 00:01:26,679 Speaker 4: have to go buy the bidders and I don't have 37 00:01:26,720 --> 00:01:30,960 Speaker 4: to go buy the sweet and sour mix, the simple 38 00:01:30,959 --> 00:01:33,120 Speaker 4: shirt syrup and all that. So I have to get 39 00:01:33,160 --> 00:01:35,640 Speaker 4: all that other stuff you have the pas. What is 40 00:01:35,640 --> 00:01:38,199 Speaker 4: the best cocktail from a part time Well, I'm I'm 41 00:01:38,680 --> 00:01:40,399 Speaker 4: you know, I like whiskey, so I'm I'm kind of 42 00:01:40,400 --> 00:01:43,040 Speaker 4: partial to the to the old fashions that come out 43 00:01:43,080 --> 00:01:43,240 Speaker 4: of that. 44 00:01:43,280 --> 00:01:46,520 Speaker 2: How about a Manhattan Yep, they got the Manhattan too, 45 00:01:46,640 --> 00:01:48,160 Speaker 2: that's solid and the. 46 00:01:49,960 --> 00:01:50,720 Speaker 5: Whiskey cell. 47 00:01:51,120 --> 00:01:54,400 Speaker 2: Have you tried that too? Yeah? It's all good. 48 00:01:54,520 --> 00:01:56,800 Speaker 4: Yeah, And then my wife does she likes the iced 49 00:01:56,800 --> 00:02:04,040 Speaker 4: teas or uh like the mark Rita's that are in there. Yeah. 50 00:02:04,440 --> 00:02:06,800 Speaker 4: I why am I even talking about They're not paying 51 00:02:06,800 --> 00:02:08,520 Speaker 4: me to talk about that. I should not talk about that. 52 00:02:08,600 --> 00:02:11,480 Speaker 4: Oh maybe they will, now, No, they need to. I 53 00:02:11,480 --> 00:02:15,600 Speaker 4: should have you know what, Scrap the whole thing. Not 54 00:02:15,639 --> 00:02:18,480 Speaker 4: giving away free endorsements. It's the matter with me. Nah, 55 00:02:18,480 --> 00:02:18,920 Speaker 4: it's good. 56 00:02:18,960 --> 00:02:20,520 Speaker 2: I like it. I like it. She likes it. That's 57 00:02:20,560 --> 00:02:21,760 Speaker 2: the important thing. She likes it. 58 00:02:21,919 --> 00:02:27,680 Speaker 4: Yeah, Uh, we are getting dumber? Were who knew? I 59 00:02:27,720 --> 00:02:31,280 Speaker 4: was reading this article in New York magazine because I'm 60 00:02:31,280 --> 00:02:37,480 Speaker 4: an elitist and I was so interested to read the 61 00:02:37,480 --> 00:02:41,720 Speaker 4: theory of dumb. There is a phenomenon that's going on 62 00:02:41,880 --> 00:02:45,680 Speaker 4: for the last one hundred years or so that the 63 00:02:45,840 --> 00:02:49,360 Speaker 4: shows that we've been getting smarter and smarter and smarter 64 00:02:49,440 --> 00:02:51,840 Speaker 4: and smarter as and this is globally. This is not 65 00:02:51,880 --> 00:02:53,679 Speaker 4: just in the unest is this is globally, So we're 66 00:02:53,720 --> 00:02:56,480 Speaker 4: all getting a little bit smarter. And the theory is 67 00:02:56,520 --> 00:02:59,080 Speaker 4: that it has something to a society and environmental factors, 68 00:02:59,080 --> 00:03:02,040 Speaker 4: and that environment metal factors, as they improve worldwide, are 69 00:03:02,080 --> 00:03:04,640 Speaker 4: also improving our intelligence. All right, That's kind of the 70 00:03:04,639 --> 00:03:10,480 Speaker 4: theory until about twenty five years ago, and then we 71 00:03:10,520 --> 00:03:15,079 Speaker 4: started getting stupid from TLDR Global News, which is done 72 00:03:15,120 --> 00:03:16,280 Speaker 4: by a curiosity stream. 73 00:03:16,280 --> 00:03:17,480 Speaker 2: They were talking about this very thing. 74 00:03:17,639 --> 00:03:19,960 Speaker 6: This video was brought to you by curiosity stream. 75 00:03:20,600 --> 00:03:20,919 Speaker 2: Good. 76 00:03:21,000 --> 00:03:23,480 Speaker 4: I'm glad you'd think that whoever edited this audio could 77 00:03:23,520 --> 00:03:24,640 Speaker 4: have skipp right past all of that. 78 00:03:25,120 --> 00:03:26,000 Speaker 2: Let's see who was it? 79 00:03:26,080 --> 00:03:29,160 Speaker 6: Get a whole bunch of exclusive skip ahead. For most 80 00:03:29,200 --> 00:03:32,360 Speaker 6: of modern history, IQs in the developed world have been 81 00:03:32,560 --> 00:03:36,400 Speaker 6: on the rise. However, over the last few decades, raw 82 00:03:36,480 --> 00:03:41,240 Speaker 6: scores have slowly but surely begun to decline with no 83 00:03:41,440 --> 00:03:42,640 Speaker 6: obvious explanation. 84 00:03:43,000 --> 00:03:43,960 Speaker 2: So in this video we're. 85 00:03:43,800 --> 00:03:45,040 Speaker 6: Going to be trying to figure out what. 86 00:03:45,600 --> 00:03:48,640 Speaker 2: Okay, so skip ahead. I thought I edited this? Did 87 00:03:48,680 --> 00:03:50,440 Speaker 2: I not edit this? As such? 88 00:03:50,640 --> 00:03:53,400 Speaker 6: There's a whole load of different IQ tests out there, Okay. 89 00:03:53,440 --> 00:03:54,240 Speaker 2: Perhaps the most. 90 00:03:54,080 --> 00:03:57,800 Speaker 6: Well known and most commonly used one is the Weschler 91 00:03:57,920 --> 00:04:01,920 Speaker 6: Adult Intelligence Scale. Now, regardless of the specific test taken 92 00:04:02,160 --> 00:04:05,480 Speaker 6: these days, IQ tests are normally scaled to map onto 93 00:04:05,520 --> 00:04:09,800 Speaker 6: a particular population. Essentially, a test scores are transformed to 94 00:04:09,880 --> 00:04:13,720 Speaker 6: a normal distribution with an average score of one hundred, 95 00:04:13,960 --> 00:04:16,479 Speaker 6: which means if you score over one hundred, then you're 96 00:04:16,520 --> 00:04:19,120 Speaker 6: of above average intelligence for the population mapped. 97 00:04:19,279 --> 00:04:21,159 Speaker 4: I don't have the intelligence to go through all this Okay, 98 00:04:21,160 --> 00:04:22,760 Speaker 4: skip ahead, come on, get to the meat. 99 00:04:22,839 --> 00:04:24,600 Speaker 6: We're not going to get in this video, because that 100 00:04:24,640 --> 00:04:29,040 Speaker 6: would require an entire deserve decline, and developed countries is 101 00:04:29,160 --> 00:04:30,799 Speaker 6: almost definitely real. 102 00:04:31,760 --> 00:04:35,240 Speaker 4: So there we go, an observed decline in developing countries. Really, 103 00:04:35,320 --> 00:04:38,159 Speaker 4: I'm really I apologize for that. Somebody's supposed to edit 104 00:04:38,160 --> 00:04:38,480 Speaker 4: this audio. 105 00:04:38,520 --> 00:04:39,960 Speaker 2: I don't know. I don't know who let us down. 106 00:04:41,120 --> 00:04:42,960 Speaker 2: I don't know. I will, I'll, I will give them 107 00:04:42,960 --> 00:04:46,480 Speaker 2: a stern talking to you though it wasn't us. Oh 108 00:04:46,560 --> 00:04:54,040 Speaker 2: look at first one wasn't mean problem what we know? 109 00:04:55,839 --> 00:04:56,840 Speaker 2: Oh dare you? 110 00:04:57,279 --> 00:05:00,000 Speaker 6: But before we get to the modern data, let's roll 111 00:05:00,080 --> 00:05:02,240 Speaker 6: back the clock a bit. In the decades after World 112 00:05:02,279 --> 00:05:05,719 Speaker 6: War Two, raw IQ score is increased by an equivalent 113 00:05:05,800 --> 00:05:09,800 Speaker 6: of about three points per decade. Obviously, the nominal mean 114 00:05:09,839 --> 00:05:12,240 Speaker 6: each year was still technically one hundred. 115 00:05:11,960 --> 00:05:14,719 Speaker 4: Okay, but just the same. So he's talking about how 116 00:05:14,720 --> 00:05:17,240 Speaker 4: they adjust the scale. Basically they're great. 117 00:05:17,120 --> 00:05:17,560 Speaker 2: On a curve. 118 00:05:17,680 --> 00:05:20,839 Speaker 4: But but what you need to know is IQ scores 119 00:05:20,880 --> 00:05:26,159 Speaker 4: were going up three points per decade. So if you 120 00:05:26,960 --> 00:05:28,800 Speaker 4: if you do math on the radio, over the course 121 00:05:28,839 --> 00:05:34,960 Speaker 4: of one hundred years, you're talking about going up a bunch, right, 122 00:05:35,000 --> 00:05:38,440 Speaker 4: that's thirty points one hundred years. There's ten decades, three 123 00:05:38,440 --> 00:05:40,760 Speaker 4: points per decade, three times ten thirty, right, so that 124 00:05:40,839 --> 00:05:44,279 Speaker 4: means that collectively we've gone up thirty points in our IQ. 125 00:05:44,880 --> 00:05:47,960 Speaker 2: That's a lot. That is a great deal. 126 00:05:48,480 --> 00:05:50,200 Speaker 4: I was as I was writing this story in the 127 00:05:50,240 --> 00:05:54,080 Speaker 4: New York magazine, they were they were discussing how you 128 00:05:54,120 --> 00:05:56,359 Speaker 4: could explain that, and they said, if we had asked 129 00:05:56,400 --> 00:06:03,040 Speaker 4: someone in the early twenty percent, what do what does 130 00:06:03,040 --> 00:06:05,840 Speaker 4: a dog and a rabbit have in common? And they 131 00:06:05,839 --> 00:06:09,160 Speaker 4: would say, dog, Chase is a rabbit. Whereas if you 132 00:06:09,200 --> 00:06:10,960 Speaker 4: ask somebody, now, does the dog and a rabbit have 133 00:06:11,000 --> 00:06:11,359 Speaker 4: in common? 134 00:06:11,400 --> 00:06:12,400 Speaker 2: They go, I don't know. 135 00:06:12,400 --> 00:06:15,240 Speaker 4: They're both mammals, they both have fur, they both you know, 136 00:06:16,040 --> 00:06:19,279 Speaker 4: we would give more of a scientific answer, whereas before 137 00:06:19,279 --> 00:06:24,760 Speaker 4: it was more of kind of life experiential answers. Now 138 00:06:24,760 --> 00:06:28,320 Speaker 4: it's more scientifically driven answers. So that's kind of how 139 00:06:28,320 --> 00:06:31,520 Speaker 4: they described that the intelligence had gotten better, but now 140 00:06:31,520 --> 00:06:32,839 Speaker 4: it's going the other way. 141 00:06:32,680 --> 00:06:35,240 Speaker 6: Because that's what the data is normalized to. But the 142 00:06:35,360 --> 00:06:38,960 Speaker 6: raw scores were going up year by year and decade 143 00:06:38,960 --> 00:06:42,279 Speaker 6: by decade. Anyway, the name for this phenomenon of rising 144 00:06:42,320 --> 00:06:47,320 Speaker 6: IQs is the Flinn effect named after the psychologist James R. Flynn, 145 00:06:47,600 --> 00:06:50,799 Speaker 6: who did much to document the phenomenon and promote awareness 146 00:06:50,839 --> 00:06:54,479 Speaker 6: of its implications. Now, no one knows quite what caused 147 00:06:54,480 --> 00:06:56,200 Speaker 6: this uplift in IQ scores. 148 00:06:56,760 --> 00:06:58,440 Speaker 4: Right, I'm gonna skip through because this guy's kind of 149 00:06:58,440 --> 00:07:01,359 Speaker 4: boring the The the gist of it is they believe 150 00:07:01,480 --> 00:07:05,200 Speaker 4: environmental factors. Basically, everybody got smarter, or the world was 151 00:07:05,240 --> 00:07:11,760 Speaker 4: getting smarter, we were exporting education, and as a result, 152 00:07:12,120 --> 00:07:15,400 Speaker 4: rising tide lifted all ships. Okay, kind of the crux 153 00:07:15,440 --> 00:07:19,360 Speaker 4: of this, However, what ends up happening now is that 154 00:07:19,880 --> 00:07:23,680 Speaker 4: a scientist set out to see if this trend had continued, 155 00:07:24,360 --> 00:07:28,080 Speaker 4: with the assumption that it had. Now, as you know, 156 00:07:28,120 --> 00:07:30,560 Speaker 4: in science, you're not supposed to make assumptions, but they said, 157 00:07:30,640 --> 00:07:34,240 Speaker 4: let's verify that it is continuing, basically, so they took 158 00:07:34,280 --> 00:07:37,000 Speaker 4: a look at at IQ tests. A nice thing about 159 00:07:37,000 --> 00:07:41,400 Speaker 4: IQ test today is that they're pretty readily available online. 160 00:07:42,120 --> 00:07:44,520 Speaker 4: The trouble with the IQ test today is that they're 161 00:07:44,520 --> 00:07:50,440 Speaker 4: pretty readily available online, so you don't necessarily have a 162 00:07:50,520 --> 00:07:54,600 Speaker 4: constant testing environment. However, what you do have is a 163 00:07:54,680 --> 00:07:58,400 Speaker 4: huge quantity of IQ tests. Almost four hundred thousand IQ 164 00:07:58,560 --> 00:08:01,440 Speaker 4: tests that were examined between two thousand and six and 165 00:08:01,480 --> 00:08:05,880 Speaker 4: twenty eighteen. All right, declines in all of those across 166 00:08:05,920 --> 00:08:10,080 Speaker 4: all ages, all genders, all education levels. Steepest declines eighteen 167 00:08:10,120 --> 00:08:13,440 Speaker 4: to twenty two year olds and those with less schooling. 168 00:08:13,760 --> 00:08:16,560 Speaker 4: That seems to make sense, But remember this isn't just 169 00:08:16,640 --> 00:08:19,400 Speaker 4: the kids these days have their noses buried in their phones. 170 00:08:20,120 --> 00:08:26,480 Speaker 4: It happened across all ages, all genders, all education levels. 171 00:08:27,160 --> 00:08:30,280 Speaker 4: So what is causing it? They say, It's not just 172 00:08:30,280 --> 00:08:33,840 Speaker 4: the smartphones, it's also and I found this to be 173 00:08:33,880 --> 00:08:39,800 Speaker 4: the most fascinating, unfettered access to each other, constant connectivity, 174 00:08:39,960 --> 00:08:45,760 Speaker 4: information overload, distraction, they say, are the possible culprits. But wait, 175 00:08:45,880 --> 00:08:50,400 Speaker 4: there's more. I'm short on time. I'm going to tell 176 00:08:50,400 --> 00:08:56,080 Speaker 4: you what the rest is here, because why why are 177 00:08:56,080 --> 00:08:58,680 Speaker 4: those test scores falling? If not for the phones, which 178 00:08:58,720 --> 00:09:01,920 Speaker 4: seems like the obvious answer, why is it IQ is 179 00:09:02,040 --> 00:09:05,400 Speaker 4: dropping off? Dive a little bit more into this as fascinating. 180 00:09:05,400 --> 00:09:07,719 Speaker 4: It's next Chris Merrill I AM six forty. We're live 181 00:09:07,720 --> 00:09:09,080 Speaker 4: everywhere in the iHeartRadio app. 182 00:09:09,480 --> 00:09:13,360 Speaker 1: You're listening to KFI AM six forty on demand. 183 00:09:14,640 --> 00:09:18,240 Speaker 4: More stimulating talk kind demand anytime the iHeart radio app 184 00:09:18,320 --> 00:09:20,200 Speaker 4: was talking about this article. I ran across the New 185 00:09:20,280 --> 00:09:25,360 Speaker 4: York magazine and it goes deep into why IQ scores 186 00:09:25,400 --> 00:09:28,400 Speaker 4: are dropping. Throughout the twentieth century. They were rising about 187 00:09:28,400 --> 00:09:31,160 Speaker 4: three points per decade. Then all of a sudden, we 188 00:09:31,160 --> 00:09:33,679 Speaker 4: get to the two thousands and they start to regress 189 00:09:34,160 --> 00:09:39,760 Speaker 4: accept in one category, and that was spatial relations. And 190 00:09:39,840 --> 00:09:42,720 Speaker 4: the author made a clear point. They said, in other words, 191 00:09:43,160 --> 00:09:47,520 Speaker 4: we can visualize rotating three D objects better than previous 192 00:09:47,520 --> 00:09:51,920 Speaker 4: generations or past you know, test takers anyway, and they 193 00:09:51,920 --> 00:09:54,800 Speaker 4: said the exact skill you would need to excel at fortnite. 194 00:09:54,920 --> 00:09:58,560 Speaker 4: And I thought, oh, that's interesting, But does that mean 195 00:09:58,600 --> 00:10:01,040 Speaker 4: that it's all because of video games that we're somehow 196 00:10:01,120 --> 00:10:05,560 Speaker 4: getting dumber. Now, the different categories where it dropped have 197 00:10:05,679 --> 00:10:10,200 Speaker 4: to do with things like pattern recognition or or you know, 198 00:10:10,240 --> 00:10:12,600 Speaker 4: the other stuff that if you've taken the IQ test, 199 00:10:12,679 --> 00:10:18,000 Speaker 4: you know, the stuff that it looks at and not. 200 00:10:20,200 --> 00:10:23,520 Speaker 4: They say that the drop off is not necessarily only 201 00:10:23,559 --> 00:10:27,040 Speaker 4: because of tech. Now, tech undoubtedly plays some sort of 202 00:10:27,040 --> 00:10:29,360 Speaker 4: a role. What is that role? First of all, they 203 00:10:29,360 --> 00:10:33,920 Speaker 4: say environmental factors. They could include anything from changes in education, nutrition, 204 00:10:34,040 --> 00:10:37,880 Speaker 4: family structure, and economic pressures to a cocktail of potentially 205 00:10:37,920 --> 00:10:43,640 Speaker 4: brain damaging exposures like microplastics, antidepressants, wildfire smoke. That's one 206 00:10:43,679 --> 00:10:46,240 Speaker 4: that hits us real close to home, doesn't it. But 207 00:10:46,800 --> 00:10:48,760 Speaker 4: the consensus right now is that the factor to blame 208 00:10:48,800 --> 00:10:52,120 Speaker 4: the most is actually the tech. But it's not that 209 00:10:52,160 --> 00:10:55,560 Speaker 4: people are scrolling. It's not just social media that's doing it. 210 00:10:56,880 --> 00:10:58,640 Speaker 4: They say, if we're getting dumber, there's a good chance 211 00:10:58,679 --> 00:11:02,440 Speaker 4: that we're making each other that way. Modern communication, in 212 00:11:02,480 --> 00:11:04,280 Speaker 4: all of its forms, has put us in contact with 213 00:11:04,360 --> 00:11:07,240 Speaker 4: more minds than we are able to handle, more than 214 00:11:07,240 --> 00:11:10,000 Speaker 4: we're built to handle, and our own seem to be 215 00:11:10,360 --> 00:11:12,520 Speaker 4: wilting under the load. 216 00:11:13,160 --> 00:11:13,719 Speaker 2: So get this. 217 00:11:14,800 --> 00:11:18,839 Speaker 4: Basically, you've got information overload, that's what's happening, and you've 218 00:11:18,840 --> 00:11:21,680 Speaker 4: got a lot of dumb people telling you dumb things, 219 00:11:21,679 --> 00:11:23,280 Speaker 4: and your brain can't process at all. 220 00:11:24,200 --> 00:11:24,520 Speaker 2: They go. 221 00:11:24,720 --> 00:11:27,560 Speaker 4: Not so long ago, the adults among us were free 222 00:11:27,600 --> 00:11:30,600 Speaker 4: to think their thoughts quietly to themselves, with no easy way. 223 00:11:30,440 --> 00:11:31,040 Speaker 2: To share them. 224 00:11:31,120 --> 00:11:33,439 Speaker 4: At worst, a person would usually just embarrass himself in 225 00:11:33,480 --> 00:11:35,959 Speaker 4: front of his own family or bowling team. Bad ideas 226 00:11:35,960 --> 00:11:38,480 Speaker 4: had a harder time scaling and reproducing, so lots of 227 00:11:38,480 --> 00:11:40,600 Speaker 4: stupidity stayed local. 228 00:11:41,559 --> 00:11:42,600 Speaker 2: But I want you to think about that. 229 00:11:42,640 --> 00:11:46,160 Speaker 4: Now you are being inundated, and maybe the algorithm knows 230 00:11:46,200 --> 00:11:48,320 Speaker 4: that you like the clickbait. Maybe it knows that you 231 00:11:48,440 --> 00:11:51,400 Speaker 4: like those things that elicited that emotional response. You don't 232 00:11:51,440 --> 00:11:55,520 Speaker 4: care to fact check it because it satiates that emotion 233 00:11:55,640 --> 00:12:01,679 Speaker 4: that you wanted to feel. And honestly, fact checking that 234 00:12:01,720 --> 00:12:04,520 Speaker 4: means you have to learn about nuance. That means that 235 00:12:04,600 --> 00:12:08,360 Speaker 4: you have to fight against your instinct to oversimplify something. 236 00:12:09,559 --> 00:12:11,000 Speaker 4: And by the way, that's not your fault. That doesn't 237 00:12:11,040 --> 00:12:13,480 Speaker 4: mean that you're dumb, that's not the reason. That's not 238 00:12:13,520 --> 00:12:16,760 Speaker 4: indicative of you being unintelligent. That's indicative of you being human. See, 239 00:12:16,800 --> 00:12:22,080 Speaker 4: we do those things because we want our brains don't 240 00:12:22,080 --> 00:12:26,240 Speaker 4: want to find nuance. We want to identify threats right, 241 00:12:27,040 --> 00:12:29,800 Speaker 4: things that drive us fear and greed, things that drive 242 00:12:29,840 --> 00:12:33,520 Speaker 4: us fear and greed, and so our brains are constantly 243 00:12:33,559 --> 00:12:39,440 Speaker 4: scanning for threats and food right or threats and things 244 00:12:39,440 --> 00:12:44,640 Speaker 4: that can make our lives better, more comfortable, thrive. Generally speaking, 245 00:12:45,040 --> 00:12:47,199 Speaker 4: we're making sure we're not going to get eaten at 246 00:12:47,280 --> 00:12:50,560 Speaker 4: night while while the rest of the village is sleeping. 247 00:12:50,559 --> 00:12:52,840 Speaker 4: And then during the day, we're trying to find food 248 00:12:53,280 --> 00:12:55,480 Speaker 4: and expend as few calories as possible to do that. 249 00:12:55,640 --> 00:12:59,720 Speaker 4: Fear and greed and it's hardwired into us. So when 250 00:12:59,760 --> 00:13:02,720 Speaker 4: we see something that we don't like, and you can 251 00:13:02,840 --> 00:13:09,880 Speaker 4: you can pick any any current major political event what 252 00:13:10,080 --> 00:13:14,720 Speaker 4: drives us fear and greed, right, or fear and desire. 253 00:13:14,760 --> 00:13:17,959 Speaker 4: If you want to say desire, that's fine, but all 254 00:13:17,960 --> 00:13:19,600 Speaker 4: of these things, and it doesn't matter if you're liberal 255 00:13:19,679 --> 00:13:20,439 Speaker 4: or conservative. 256 00:13:21,160 --> 00:13:22,240 Speaker 2: What we do is. 257 00:13:22,160 --> 00:13:27,160 Speaker 4: We boil things down to the simplest form. And politicians 258 00:13:27,200 --> 00:13:30,160 Speaker 4: know this. They know and they don't try to explain things. 259 00:13:30,200 --> 00:13:31,880 Speaker 4: They don't try to explain nw ones, they don't try 260 00:13:31,920 --> 00:13:32,920 Speaker 4: to explain a gray area. 261 00:13:32,960 --> 00:13:34,600 Speaker 2: They don't want to tell you how they came to 262 00:13:34,640 --> 00:13:35,319 Speaker 2: a conclusion. 263 00:13:35,520 --> 00:13:37,560 Speaker 4: But they want to tell you is how you should feel, 264 00:13:37,600 --> 00:13:40,240 Speaker 4: and this is why, because if you don't, scary things 265 00:13:40,320 --> 00:13:42,600 Speaker 4: are gonna happen, or this is what you need to 266 00:13:42,640 --> 00:13:45,640 Speaker 4: do in order to get more right. 267 00:13:45,640 --> 00:13:48,200 Speaker 2: I was going to think of think of taxes. 268 00:13:48,400 --> 00:13:52,240 Speaker 4: Okay, you're gonna hear the conservatives are always gonna tell 269 00:13:52,280 --> 00:13:56,040 Speaker 4: you, you know, we need tax cuts. If we have tax cuts, 270 00:13:56,040 --> 00:13:58,400 Speaker 4: that means more money in your pocket. You're gonna be richer. 271 00:13:58,559 --> 00:14:03,800 Speaker 4: That's very appealing. Liberals go, we have to raise their 272 00:14:03,800 --> 00:14:05,160 Speaker 4: taxes because we want to make sure that. 273 00:14:05,120 --> 00:14:08,319 Speaker 2: We're feeding people. And you need to have empathy. 274 00:14:08,360 --> 00:14:10,280 Speaker 4: So they're trying to tap into empathy and they're trying 275 00:14:10,280 --> 00:14:12,079 Speaker 4: to make you think of what it's like to be hungry. 276 00:14:13,280 --> 00:14:15,080 Speaker 2: Or they say, we've got to raise taxes so that 277 00:14:15,120 --> 00:14:15,440 Speaker 2: we can. 278 00:14:15,400 --> 00:14:18,959 Speaker 4: Offer more free stuff, free college, free buses in New 279 00:14:19,000 --> 00:14:21,760 Speaker 4: York City, right or or or whatever it is, and 280 00:14:21,800 --> 00:14:23,800 Speaker 4: you owe, I want that that's free. That's good, I'm 281 00:14:23,800 --> 00:14:27,640 Speaker 4: going after it. That's both sides attacking the greed aspect 282 00:14:29,000 --> 00:14:31,400 Speaker 4: of what we have, right. But then you have the 283 00:14:31,440 --> 00:14:34,680 Speaker 4: other side. You've got the fear. So let's think about 284 00:14:34,720 --> 00:14:37,160 Speaker 4: something like a border wall. You've got the GOP that's 285 00:14:37,160 --> 00:14:38,920 Speaker 4: gonna say, we have to build a border wall to 286 00:14:38,960 --> 00:14:43,000 Speaker 4: protect ourselves from an invasion of the illegal immigrants. That's 287 00:14:43,000 --> 00:14:45,200 Speaker 4: what that's that's the message, over and over and over 288 00:14:45,240 --> 00:14:48,240 Speaker 4: and over and over again. And the DHS is gonna say, 289 00:14:48,240 --> 00:14:50,560 Speaker 4: look at who we caught. We caught this this vicious criminal. 290 00:14:50,560 --> 00:14:52,440 Speaker 4: We caught this vicious criminal. We caught this person and 291 00:14:52,440 --> 00:14:54,240 Speaker 4: this person and this person all illegal. We got to 292 00:14:54,240 --> 00:14:56,840 Speaker 4: build this wall. We're protecting you, your safety, your security. 293 00:14:57,400 --> 00:15:00,240 Speaker 4: If you love your kids, you're gonna do this right, 294 00:15:01,280 --> 00:15:03,320 Speaker 4: then you get the livers. I remember, if you build 295 00:15:03,360 --> 00:15:05,360 Speaker 4: a wall, there's two sides to that wall. If you 296 00:15:05,400 --> 00:15:07,600 Speaker 4: build a wall that means you're trapped with a fascists. 297 00:15:08,080 --> 00:15:09,920 Speaker 4: You can't build a wall because then the fascists have 298 00:15:09,960 --> 00:15:14,520 Speaker 4: basically built you into your own concentration camp, and you go. 299 00:15:14,880 --> 00:15:16,360 Speaker 2: You can't give over to the fascists. 300 00:15:16,480 --> 00:15:18,320 Speaker 4: What you don't know is building the walls and imprisoning 301 00:15:18,400 --> 00:15:22,880 Speaker 4: yourself fear, both using fear, one more effectively than the other, 302 00:15:22,960 --> 00:15:26,840 Speaker 4: but both using fear to drive that national political issue. 303 00:15:28,120 --> 00:15:30,760 Speaker 4: Is their nuance? Is there intelligence in those arguments? No, 304 00:15:30,800 --> 00:15:32,720 Speaker 4: but they're simple and they appeal to the to our 305 00:15:32,760 --> 00:15:36,680 Speaker 4: basic instincts. But because we're being inundated with so many 306 00:15:36,680 --> 00:15:39,640 Speaker 4: messages constantly from a whole lot of people that don't 307 00:15:39,640 --> 00:15:43,040 Speaker 4: have any education, but continue to repeat like an echo chamber, 308 00:15:43,320 --> 00:15:47,280 Speaker 4: over and over and over again, our brains can't handle 309 00:15:47,320 --> 00:15:51,680 Speaker 4: all of that, and our brains basically just go I 310 00:15:51,720 --> 00:15:57,160 Speaker 4: can't focus or dive deeper or read into these things. 311 00:15:57,720 --> 00:15:59,160 Speaker 4: What I'm going to do is I'm going to take 312 00:15:59,160 --> 00:16:02,640 Speaker 4: the thing that makes the most sense to me as 313 00:16:02,640 --> 00:16:08,320 Speaker 4: far as self preservation and self advancement. But when we 314 00:16:08,400 --> 00:16:10,360 Speaker 4: do that, we're doing it at the cost of our 315 00:16:10,400 --> 00:16:16,040 Speaker 4: own ability to process that information. And I thought it 316 00:16:16,080 --> 00:16:21,720 Speaker 4: was fascinating, fascinating stuff, But now I realize I've just 317 00:16:21,760 --> 00:16:24,000 Speaker 4: been monologuing and it's probably not a lot exciting. So 318 00:16:25,120 --> 00:16:27,080 Speaker 4: all right, well, I'm geeked out. Thanks for letting me. 319 00:16:27,320 --> 00:16:29,600 Speaker 4: You keep hearing that American kids are falling apart. Nobody 320 00:16:29,600 --> 00:16:32,160 Speaker 4: wants to talk about the place where all of that 321 00:16:32,200 --> 00:16:35,960 Speaker 4: starts to show up. Right, Your kid may be getting stressed, 322 00:16:36,560 --> 00:16:38,720 Speaker 4: and that stress may not be starting in their brain. 323 00:16:38,760 --> 00:16:40,440 Speaker 4: It could be starting in the very place that you 324 00:16:40,520 --> 00:16:42,360 Speaker 4: expect them to be getting their stuff together. 325 00:16:43,040 --> 00:16:43,280 Speaker 2: More. 326 00:16:43,360 --> 00:16:45,800 Speaker 4: The brain drain and where that's beginning is next. I'm 327 00:16:45,840 --> 00:16:48,080 Speaker 4: Chris MERYLFI AM six forty. Were live everywhere on the 328 00:16:48,080 --> 00:16:48,840 Speaker 4: iHeartRadio app. 329 00:16:49,200 --> 00:16:53,080 Speaker 1: You're listening to KFI AM six forty on demand. 330 00:16:54,000 --> 00:16:57,160 Speaker 4: You'll find this on demand anytime iHeartRadio app. When you're 331 00:16:57,200 --> 00:16:58,920 Speaker 4: on that app, you and always did that talkback button. 332 00:17:00,000 --> 00:17:06,600 Speaker 4: I appreciate that. I appreciate that. Let me see, Oh 333 00:17:06,680 --> 00:17:13,159 Speaker 4: I got this, I gotta Everythanksgiving I have a bit 334 00:17:13,200 --> 00:17:15,760 Speaker 4: of an issue. I'm gonna I'm gonna share with you 335 00:17:15,800 --> 00:17:18,400 Speaker 4: what that issue is coming up here after Mark's next newscast, 336 00:17:18,400 --> 00:17:22,399 Speaker 4: because it's I got a little bit of evidence today 337 00:17:22,440 --> 00:17:24,159 Speaker 4: to find out that I'm actually not alone on my 338 00:17:24,240 --> 00:17:27,000 Speaker 4: issue when it comes to that Thanksgiving dinner and what's 339 00:17:27,040 --> 00:17:30,000 Speaker 4: on the table. It's been a problem for a very 340 00:17:30,080 --> 00:17:35,600 Speaker 4: long time. Basically, you've been duped, and you've been duped 341 00:17:35,720 --> 00:17:39,280 Speaker 4: into a couple of things. One liking something that nobody likes, 342 00:17:39,320 --> 00:17:41,040 Speaker 4: and two pretending it's not what it is. 343 00:17:41,119 --> 00:17:43,960 Speaker 2: That's again, that's after Mark's news. That's still to come. 344 00:17:44,240 --> 00:17:45,639 Speaker 2: I want to continue down this road though. 345 00:17:45,640 --> 00:17:47,200 Speaker 4: As I was telling you that, there was a great 346 00:17:47,560 --> 00:17:49,160 Speaker 4: article in the New York magazine, which I was reading 347 00:17:49,160 --> 00:17:51,359 Speaker 4: because I'm an elitist and I have a lot of 348 00:17:51,440 --> 00:17:52,679 Speaker 4: Lacroix under my pillow. 349 00:17:53,040 --> 00:17:56,440 Speaker 2: And from that then I was following up. 350 00:17:56,359 --> 00:17:57,879 Speaker 4: On some of the research, and I was thinking, this 351 00:17:57,960 --> 00:17:59,320 Speaker 4: is just what I do in my fun time, just 352 00:17:59,480 --> 00:18:03,040 Speaker 4: run out on the rabbit hole, and I was thinking about, oh, 353 00:18:03,119 --> 00:18:06,520 Speaker 4: the kids these days. Are the kids these days getting 354 00:18:06,560 --> 00:18:10,280 Speaker 4: dumber as well? Do they have any hope? The research 355 00:18:10,320 --> 00:18:13,760 Speaker 4: on declining IQs was done for tests that we're taking 356 00:18:13,800 --> 00:18:17,240 Speaker 4: between twenty six and twenty eighteen. Certainly since COVID, it's 357 00:18:17,280 --> 00:18:19,439 Speaker 4: not like it's gotten any better. COVID's probably got some 358 00:18:19,480 --> 00:18:23,920 Speaker 4: more long term effects on the brain as well. That's 359 00:18:23,960 --> 00:18:25,960 Speaker 4: probably not for the kids didn't have the infections so 360 00:18:26,000 --> 00:18:28,840 Speaker 4: bad as the adults. However, as we know, the kids 361 00:18:28,840 --> 00:18:31,840 Speaker 4: had some delayed learning. It's one of the areas that 362 00:18:31,920 --> 00:18:33,919 Speaker 4: I think we learned a lot from. Like, Okay, that 363 00:18:34,040 --> 00:18:36,400 Speaker 4: was a misstep, and I'll be the first to tell 364 00:18:36,440 --> 00:18:39,879 Speaker 4: you that I wanted to delay kids going back to 365 00:18:39,880 --> 00:18:43,160 Speaker 4: school as long as I could. My thought was, if 366 00:18:43,160 --> 00:18:45,320 Speaker 4: they can be on zoom and they can be connecting 367 00:18:45,359 --> 00:18:49,600 Speaker 4: with the teachers and learning, that's sufficient. Data shows it 368 00:18:49,640 --> 00:18:51,920 Speaker 4: was not. It was just not And I'll be the 369 00:18:51,960 --> 00:18:54,960 Speaker 4: first to tell you that that was not it. But 370 00:18:55,080 --> 00:18:58,320 Speaker 4: what about the kids these days. If you take a 371 00:18:58,359 --> 00:18:59,920 Speaker 4: look at what's going out in a number of schools, 372 00:19:00,840 --> 00:19:03,760 Speaker 4: nearly one in seventeen year old boys now carries an 373 00:19:03,800 --> 00:19:09,760 Speaker 4: ADHD diagnosis. One million more children got that diagnosis in 374 00:19:09,760 --> 00:19:12,480 Speaker 4: twenty twenty two compared with twenty sixteen, So we have 375 00:19:12,680 --> 00:19:20,639 Speaker 4: skyrocketing diagnoses of ADHD, autism, anxiety and depression, and you 376 00:19:20,720 --> 00:19:24,800 Speaker 4: have to wonder why that is. Autism diagnosis rose from 377 00:19:25,040 --> 00:19:28,080 Speaker 4: one in twenty five hundred children back in the early 378 00:19:28,119 --> 00:19:34,600 Speaker 4: eighties to one in thirty one today. That's remarkable. When 379 00:19:34,640 --> 00:19:37,840 Speaker 4: I was growing up, I remember we had one kid 380 00:19:37,880 --> 00:19:42,840 Speaker 4: in our class, Stephen with a pH and Stephen, he 381 00:19:42,960 --> 00:19:47,800 Speaker 4: most definitely had a hyperactivity disorder. He definitely was ADHD 382 00:19:47,840 --> 00:19:50,399 Speaker 4: at the time. It was add he most definitely did. 383 00:19:50,440 --> 00:19:53,240 Speaker 4: And I recall that he had to go take medicine 384 00:19:54,359 --> 00:19:56,440 Speaker 4: every day at lunchtime or whatever he had to go take, 385 00:19:56,640 --> 00:20:00,080 Speaker 4: And I'm sure it was riddling at the time. And 386 00:20:00,119 --> 00:20:02,639 Speaker 4: I just remember there was one kid. Looking back on 387 00:20:02,680 --> 00:20:04,800 Speaker 4: it now, there were a number of other kids that 388 00:20:05,000 --> 00:20:08,800 Speaker 4: probably would in today, by today's criteria, would have been 389 00:20:08,840 --> 00:20:13,000 Speaker 4: diagnosed as somewhere on the spectrum. So why is it 390 00:20:13,040 --> 00:20:16,800 Speaker 4: that we're diagnosing now better than what we did before, 391 00:20:16,880 --> 00:20:18,600 Speaker 4: or more than what we did before. There may be 392 00:20:18,640 --> 00:20:22,040 Speaker 4: a number of different reasons. First, is we're better at 393 00:20:22,119 --> 00:20:24,320 Speaker 4: understanding that it's a spectrum. It's not black and white. 394 00:20:24,359 --> 00:20:27,080 Speaker 4: It's not as though, okay, this is a hyperactive kid, 395 00:20:27,240 --> 00:20:30,920 Speaker 4: that's it. Now we know hyperactivity maybe may fall on 396 00:20:31,280 --> 00:20:32,880 Speaker 4: the spectrum as well. 397 00:20:32,920 --> 00:20:34,520 Speaker 2: That's part of the autism spectrum. 398 00:20:34,560 --> 00:20:37,560 Speaker 4: We also have a number of different categories in the 399 00:20:37,560 --> 00:20:41,679 Speaker 4: autism spectrum, Asperger's for instance. And a lot of this 400 00:20:41,840 --> 00:20:45,840 Speaker 4: wasn't so well understood fifty years ago as well as 401 00:20:45,840 --> 00:20:47,560 Speaker 4: it is now, or at least our understanding was different 402 00:20:47,560 --> 00:20:49,480 Speaker 4: than what it is right now. But now we go, okay, 403 00:20:49,480 --> 00:20:54,400 Speaker 4: there's a spectrum. So for instance, my son, and here's 404 00:20:54,400 --> 00:20:57,560 Speaker 4: another one. Let me before I tell you my son's story. 405 00:20:57,720 --> 00:21:02,399 Speaker 4: Here's another one too, is that in the in the 406 00:21:02,520 --> 00:21:04,920 Speaker 4: older day, the old days, mark you remember the old days. 407 00:21:05,760 --> 00:21:08,920 Speaker 4: In the old days, you didn't want to be different 408 00:21:09,000 --> 00:21:10,720 Speaker 4: because different meant you were targeted. 409 00:21:11,320 --> 00:21:12,480 Speaker 2: Right, ooh ooh. 410 00:21:12,520 --> 00:21:14,800 Speaker 4: I have to try to conform because if I'm too 411 00:21:14,800 --> 00:21:16,800 Speaker 4: far out out of the normal, the bullies are going 412 00:21:16,840 --> 00:21:17,320 Speaker 4: to pick on me. 413 00:21:17,520 --> 00:21:19,159 Speaker 2: And then we saw a change. We said we have 414 00:21:19,160 --> 00:21:19,879 Speaker 2: to stop the bullying. 415 00:21:19,960 --> 00:21:23,080 Speaker 4: We saw change in the high schools in the in 416 00:21:23,119 --> 00:21:25,560 Speaker 4: the early to mid two thousands, right, we saw it 417 00:21:25,600 --> 00:21:28,000 Speaker 4: kind of shift where we go bullies are not cool, 418 00:21:28,640 --> 00:21:32,119 Speaker 4: and bullies themselves became ostracized and everyone was trying to 419 00:21:32,119 --> 00:21:35,240 Speaker 4: figure out what made each of them unique and special. 420 00:21:36,000 --> 00:21:40,320 Speaker 4: Sort of a mindset change. I think it's generally for 421 00:21:40,440 --> 00:21:43,600 Speaker 4: good but one thing that we found is that kids 422 00:21:43,600 --> 00:21:47,320 Speaker 4: were like, I'm special, I have this right. We would say, hey, 423 00:21:47,800 --> 00:21:51,960 Speaker 4: who's that kid in your class that you know, we 424 00:21:51,960 --> 00:21:54,119 Speaker 4: woul try to be encouraging. I had a kid in 425 00:21:54,160 --> 00:21:56,480 Speaker 4: my class when I was in fifth grade. He had 426 00:21:56,520 --> 00:21:59,000 Speaker 4: cancer and I remember he came to school and they 427 00:21:59,080 --> 00:22:01,359 Speaker 4: let him wear a hat class so that people wouldn't 428 00:22:01,359 --> 00:22:03,520 Speaker 4: make fun of him. Now, if there's a kid that's 429 00:22:03,520 --> 00:22:05,399 Speaker 4: fighting cancer and they come to school and they are 430 00:22:05,560 --> 00:22:08,720 Speaker 4: and they're going through chemotherapy, the class rallies around them, right, 431 00:22:09,280 --> 00:22:13,040 Speaker 4: and so there is this subconscious reinforcement that if you 432 00:22:13,160 --> 00:22:15,960 Speaker 4: are you know, if you're going through something, you're gonna 433 00:22:15,960 --> 00:22:18,800 Speaker 4: have support that makes you special, that makes you unique, 434 00:22:18,880 --> 00:22:20,439 Speaker 4: and the rest of the people around you are going 435 00:22:20,480 --> 00:22:22,639 Speaker 4: to respect you, and they're gonna give you you know, 436 00:22:22,840 --> 00:22:25,119 Speaker 4: they're gonna kind of rally. I think we've done a 437 00:22:25,160 --> 00:22:27,480 Speaker 4: good job of being better parents and teaching our kids 438 00:22:27,480 --> 00:22:28,320 Speaker 4: not to be jerks. 439 00:22:28,880 --> 00:22:29,359 Speaker 2: That's good. 440 00:22:30,240 --> 00:22:33,320 Speaker 4: But also here's my son. My son is thirty now 441 00:22:33,359 --> 00:22:34,800 Speaker 4: and he told us about two or three years ago, 442 00:22:35,080 --> 00:22:37,120 Speaker 4: he called us and he said, well, I just wanted 443 00:22:37,119 --> 00:22:40,679 Speaker 4: to congratulate you. You officially have a child on the spectrum, 444 00:22:42,119 --> 00:22:44,399 Speaker 4: and I thought, there are so many things with that 445 00:22:44,440 --> 00:22:47,240 Speaker 4: sentence I just don't understand, And I go, what do 446 00:22:47,280 --> 00:22:51,960 Speaker 4: you mean here? My psychologist diagnosed me with ADHD, And 447 00:22:52,280 --> 00:22:53,960 Speaker 4: I gotta tell you, there was nothing about my son 448 00:22:53,960 --> 00:23:00,160 Speaker 4: that was abnormal. He was pretty normal, little boy, teenage boy. 449 00:23:00,160 --> 00:23:00,520 Speaker 2: Normal. 450 00:23:01,520 --> 00:23:03,720 Speaker 4: But as he's getting older, he's having some trouble focusing 451 00:23:03,720 --> 00:23:05,960 Speaker 4: and he's had he's had some issues and he was 452 00:23:05,960 --> 00:23:08,760 Speaker 4: seeking help, and there's that's great. I'm really happy for him. 453 00:23:09,080 --> 00:23:12,719 Speaker 4: But the fact that he said, congratulations, you have you 454 00:23:12,800 --> 00:23:16,560 Speaker 4: officially have a child in the spectrum, as though that's 455 00:23:16,600 --> 00:23:18,000 Speaker 4: the kind of thing that we're going to run out 456 00:23:18,040 --> 00:23:18,840 Speaker 4: and tell Oh. 457 00:23:18,840 --> 00:23:21,760 Speaker 2: I can't wait to tell my friends. You see what 458 00:23:21,800 --> 00:23:22,879 Speaker 2: I mean. It's a little bit different. 459 00:23:23,359 --> 00:23:25,480 Speaker 4: So I think the diagnosis goes up because in some 460 00:23:25,520 --> 00:23:29,280 Speaker 4: cases there's a there's almost a point of pride with 461 00:23:29,320 --> 00:23:31,520 Speaker 4: it because of the way that we accept things nowadays. 462 00:23:32,680 --> 00:23:36,600 Speaker 4: There's also a practical reason that we saw diagnoses of ADHD, autism, anxiety, 463 00:23:36,600 --> 00:23:39,560 Speaker 4: and depression jump not is that we changed how we 464 00:23:39,600 --> 00:23:42,440 Speaker 4: funded schools so no child left behind comes around and 465 00:23:42,480 --> 00:23:45,520 Speaker 4: we go, how do we make sure that schools are 466 00:23:45,560 --> 00:23:47,080 Speaker 4: getting the help they need? If they have kids with 467 00:23:47,119 --> 00:23:48,840 Speaker 4: special needs, and we go, well, if they have kids 468 00:23:48,840 --> 00:23:51,959 Speaker 4: with special needs, we can make sure they get more funding. 469 00:23:52,520 --> 00:23:55,240 Speaker 4: And if they have kids with special needs, that could 470 00:23:55,640 --> 00:24:02,280 Speaker 4: inadvertently affect the standardized testings. So in many states they 471 00:24:02,359 --> 00:24:05,479 Speaker 4: threw out the tests for kids that had certain diagnoses. Well, 472 00:24:05,520 --> 00:24:08,080 Speaker 4: if you're a school that's struggling and you want to 473 00:24:08,080 --> 00:24:11,399 Speaker 4: make sure you're getting the funding, one you're gonna get 474 00:24:11,440 --> 00:24:14,560 Speaker 4: more funding for somebody with a diagnosis, and two you're 475 00:24:14,560 --> 00:24:17,840 Speaker 4: not gonna be pedalized if your school is underperforming, if 476 00:24:17,880 --> 00:24:21,920 Speaker 4: you can throw out the scores of the lower performing 477 00:24:22,000 --> 00:24:24,480 Speaker 4: kids and go, oh, well, you know what, this one's 478 00:24:24,480 --> 00:24:28,480 Speaker 4: got a diagnosis. So there's an incentive, a financial incentive 479 00:24:29,119 --> 00:24:34,240 Speaker 4: to see more diagnoses in the schools as well. Now 480 00:24:34,320 --> 00:24:37,040 Speaker 4: is that beneficial to society or is that contributing to 481 00:24:37,080 --> 00:24:40,679 Speaker 4: that constant decline? Then of the IQ, if we're not 482 00:24:40,960 --> 00:24:44,040 Speaker 4: making sure that we're giving the proper attention to everyone, 483 00:24:44,840 --> 00:24:51,119 Speaker 4: or if we're simply giving someone an excuse, that is 484 00:24:52,240 --> 00:24:55,240 Speaker 4: that will be studied for the next fifty years. 485 00:24:55,560 --> 00:24:59,360 Speaker 5: The families also get funding from the government off their 486 00:24:59,440 --> 00:24:59,800 Speaker 5: kid is. 487 00:25:00,320 --> 00:25:04,000 Speaker 2: Uh not not blanket. That's a more complicated question. 488 00:25:04,080 --> 00:25:06,760 Speaker 4: It depends interesting, it depends on whether or not they 489 00:25:06,760 --> 00:25:10,000 Speaker 4: are receiving other funding generally speaking. 490 00:25:09,760 --> 00:25:13,040 Speaker 5: Because in Australia, if your kid gets diagnosed on the 491 00:25:13,080 --> 00:25:16,359 Speaker 5: autism spectrum, you do get funding from the government. So 492 00:25:16,480 --> 00:25:19,960 Speaker 5: a lot of parents in Australia they do want the diagnosis. 493 00:25:20,200 --> 00:25:22,199 Speaker 2: Oh interesting, very interesting, isn't that. 494 00:25:22,400 --> 00:25:24,400 Speaker 4: Yeah, no, it's not. It's not blanket like that here, 495 00:25:24,440 --> 00:25:28,000 Speaker 4: not blanket, but there are, there are. It's a complicated answer. 496 00:25:28,160 --> 00:25:29,600 Speaker 4: All right, I'm gotta get the break here. I'm already 497 00:25:29,640 --> 00:25:32,720 Speaker 4: really late. Your brain drain has you thinking you need 498 00:25:32,760 --> 00:25:36,240 Speaker 4: therapy for your life overhaul. But my friends, that is 499 00:25:36,280 --> 00:25:38,159 Speaker 4: the wrong tease for the next segment, So let me 500 00:25:38,200 --> 00:25:39,760 Speaker 4: just stop that. 501 00:25:40,480 --> 00:25:42,280 Speaker 2: Hang on, let me go back. Where am i here? 502 00:25:42,359 --> 00:25:44,840 Speaker 4: Oh? Yeah, time I am speaking of brain drain. I'll 503 00:25:44,840 --> 00:25:46,840 Speaker 4: tell you what is making you dumber? Is that crap 504 00:25:46,880 --> 00:25:50,560 Speaker 4: on your your Thanksgiving table? My annual I can't stand 505 00:25:50,600 --> 00:25:53,119 Speaker 4: this on my table? Rant is next? Chris Merril KFI 506 00:25:53,240 --> 00:25:55,639 Speaker 4: AM six forty. We are live everywhere on the iHeartRadio. 507 00:25:56,640 --> 00:26:00,000 Speaker 1: You're listening to KFI AM six forty on demand. 508 00:26:04,560 --> 00:26:07,880 Speaker 4: Been update on your favorite streamers that could be merging here? 509 00:26:07,880 --> 00:26:11,840 Speaker 4: Not too long that's coming up after marks nine o'clock news. 510 00:26:12,280 --> 00:26:14,600 Speaker 4: All right, there are a couple of new surveys out. 511 00:26:15,000 --> 00:26:17,600 Speaker 4: They basically show the same thing, but they play with 512 00:26:17,640 --> 00:26:20,680 Speaker 4: the numbers just a little bit, and it's it's all 513 00:26:20,720 --> 00:26:25,320 Speaker 4: about what kind of garbage is sitting at your Thanksgiving 514 00:26:25,400 --> 00:26:29,879 Speaker 4: Day table? Fox eleven talking about this very important issue. 515 00:26:30,000 --> 00:26:33,119 Speaker 7: Okay, when it comes to Thanksgiving foods, is there something 516 00:26:33,160 --> 00:26:35,480 Speaker 7: you'd like to ban from the table? 517 00:26:35,760 --> 00:26:38,080 Speaker 2: We know roxy is choice roxy. 518 00:26:38,520 --> 00:26:44,679 Speaker 7: According to new survey of people what agree with you, 519 00:26:44,720 --> 00:26:48,639 Speaker 7: they want to ditch the green, the what in being castrole? 520 00:26:49,000 --> 00:26:54,679 Speaker 2: Oh good, the GBC the green being castrole? Oh wow, 521 00:26:54,800 --> 00:26:57,080 Speaker 2: what's wrong with that? I don't know. 522 00:26:57,200 --> 00:27:01,240 Speaker 4: I actually I don't hate the green bean Castroleiously, yeah. 523 00:27:01,040 --> 00:27:04,320 Speaker 7: Maybe for different reasons, for different reasons, I'm sure too green. 524 00:27:04,880 --> 00:27:08,320 Speaker 7: Some of the other choices cranberry sauce, how dare you? 525 00:27:09,080 --> 00:27:13,320 Speaker 2: And sweet potatoes? Come on, come on? Sweet? 526 00:27:14,400 --> 00:27:16,320 Speaker 4: You get the feeling that all that they were gonna 527 00:27:16,359 --> 00:27:18,520 Speaker 4: just poo poo whatever it is, because they're afraid of 528 00:27:18,640 --> 00:27:20,479 Speaker 4: upsetting somebody who does like it. 529 00:27:21,320 --> 00:27:23,080 Speaker 2: You know, you get enough hate mail from people that 530 00:27:23,119 --> 00:27:23,880 Speaker 2: are like, I. 531 00:27:23,920 --> 00:27:26,560 Speaker 4: Heard you say this thing about sweet potatoes and I'll 532 00:27:26,560 --> 00:27:27,800 Speaker 4: never watch your show again. 533 00:27:27,880 --> 00:27:28,560 Speaker 2: How dare you? 534 00:27:28,640 --> 00:27:30,840 Speaker 3: I'm not gonna be happy until people come to blows 535 00:27:30,880 --> 00:27:31,199 Speaker 3: over this. 536 00:27:31,400 --> 00:27:32,800 Speaker 2: Yeah, wouldn't that be great? It will? 537 00:27:33,400 --> 00:27:35,760 Speaker 5: Did candy yams not make the list? 538 00:27:35,880 --> 00:27:38,880 Speaker 2: That's a sweet potatoes, the yams, yams and the sweet pets. 539 00:27:38,880 --> 00:27:40,479 Speaker 5: But they put marshmellow in it. 540 00:27:40,480 --> 00:27:43,640 Speaker 2: It's feral. It's so disgusting. Here we go, you peel 541 00:27:44,240 --> 00:27:45,000 Speaker 2: with your candy. 542 00:27:45,400 --> 00:27:47,919 Speaker 4: Here's the thing. Those three things depending on the survey 543 00:27:47,920 --> 00:27:49,560 Speaker 4: that you watch. And I saw I looked up two 544 00:27:49,600 --> 00:27:52,080 Speaker 4: of them. One was done by a Harris Pool and 545 00:27:52,119 --> 00:27:54,560 Speaker 4: then another one Southern Living had a pool I think 546 00:27:55,600 --> 00:27:58,159 Speaker 4: and oh Savings dot Com, Uh did it? 547 00:27:59,040 --> 00:28:03,560 Speaker 2: And what they found? Wise, are you guys hearing an echo? No? 548 00:28:04,359 --> 00:28:06,280 Speaker 4: Okay, sorry, I was getting like an echo there for 549 00:28:06,280 --> 00:28:08,960 Speaker 4: a minute. Uh what they what they? What they found 550 00:28:09,000 --> 00:28:13,879 Speaker 4: was those three things, the green bean castrole, the cranberry sauce, 551 00:28:13,920 --> 00:28:17,200 Speaker 4: and the yams. Both Poles found that those the least 552 00:28:17,320 --> 00:28:22,840 Speaker 4: like sides at the Thanksgiving Day table. Now I'm kind 553 00:28:22,840 --> 00:28:24,960 Speaker 4: of with Nikky on the whole yams are gross thing. 554 00:28:25,280 --> 00:28:29,080 Speaker 4: I'm not a fan of the ams. I'm with you, Mark, 555 00:28:29,359 --> 00:28:36,160 Speaker 4: I do like the green bean castrole. Very simple recipe. 556 00:28:36,160 --> 00:28:38,320 Speaker 4: I think, isn't it basically just green beans and cream 557 00:28:38,360 --> 00:28:42,200 Speaker 4: and mushroom soup with some funions on top of funions. 558 00:28:42,440 --> 00:28:44,440 Speaker 2: I mean, that's basically it, right. No, I like that. 559 00:28:44,480 --> 00:28:48,000 Speaker 2: I had the thought of using the actual funions. That's 560 00:28:48,000 --> 00:28:51,239 Speaker 2: a great idea. I mean, those are great. Those are 561 00:28:51,280 --> 00:28:52,040 Speaker 2: those are good. I like that. 562 00:28:52,640 --> 00:28:56,000 Speaker 4: But I always have this issue, and that is with 563 00:28:56,160 --> 00:29:02,000 Speaker 4: the notion of cranberry sauce. It's not a sauce. No 564 00:29:02,160 --> 00:29:06,200 Speaker 4: sauce comes out shaped like a can. No sauce should 565 00:29:06,200 --> 00:29:11,120 Speaker 4: ever make the sound. Now you might say, well, wait, 566 00:29:11,120 --> 00:29:13,840 Speaker 4: wait a minute, wait a minute. Some condensed soup will 567 00:29:13,840 --> 00:29:15,840 Speaker 4: do that. That's right. But it's condensed, and then you 568 00:29:15,880 --> 00:29:18,080 Speaker 4: add water or milk if it's creamy, whatever it is. 569 00:29:18,120 --> 00:29:19,920 Speaker 2: You do that with cranberry sauce, they go, oh. 570 00:29:19,800 --> 00:29:23,240 Speaker 4: No, you get out of the can and then you 571 00:29:23,320 --> 00:29:28,840 Speaker 4: slice it. Name another sauce that you can slice. You can't. 572 00:29:29,720 --> 00:29:32,120 Speaker 4: It is not a sauce. If you want to call 573 00:29:32,120 --> 00:29:34,440 Speaker 4: it cranberry jelly, I'll bet you get away with it. 574 00:29:34,760 --> 00:29:39,000 Speaker 4: But to call it cranberry sauce is absolutely. 575 00:29:39,800 --> 00:29:40,120 Speaker 2: Wrong. 576 00:29:40,240 --> 00:29:43,640 Speaker 4: It's a misnomber of the highest degree. And I'm so 577 00:29:43,840 --> 00:29:47,320 Speaker 4: tired of this lie being perpetrated upon Americans, since I 578 00:29:47,320 --> 00:29:52,160 Speaker 4: can only assume the pilgrims who also got their ocean 579 00:29:52,200 --> 00:30:00,000 Speaker 4: spray cranberry sauce out of a can, probably from the Senecas, 580 00:30:00,160 --> 00:30:03,080 Speaker 4: to stop. If there is one thing that I want 581 00:30:03,080 --> 00:30:07,520 Speaker 4: to change in America before I die, that's it to 582 00:30:07,680 --> 00:30:11,720 Speaker 4: stop calling cranberry sauce in a can sauce. 583 00:30:12,680 --> 00:30:16,240 Speaker 2: It is not. Now, maybe you're doing the whole cranberry. 584 00:30:16,280 --> 00:30:17,880 Speaker 4: You know, you got the whole berries just kind of 585 00:30:17,920 --> 00:30:20,280 Speaker 4: mushed up in a compote of some sort. I don't 586 00:30:20,280 --> 00:30:21,880 Speaker 4: even know what that word means, but I saw it 587 00:30:21,920 --> 00:30:24,320 Speaker 4: on a fancy cooking show, or maybe I heard Neil 588 00:30:24,360 --> 00:30:27,600 Speaker 4: Sevager talk about it one time. If that comes out, okay, 589 00:30:27,640 --> 00:30:31,680 Speaker 4: look that's that's liquidy. But you can't eat sauce with 590 00:30:31,720 --> 00:30:34,280 Speaker 4: a fork. If you can eat it with a fork, 591 00:30:34,400 --> 00:30:36,560 Speaker 4: it's not a sauce. Quit calling it a sauce. 592 00:30:36,960 --> 00:30:42,320 Speaker 3: How about goo that's fine, or protoplasm protoplasm. 593 00:30:42,560 --> 00:30:44,400 Speaker 4: I was doing this rant one time, because this is 594 00:30:44,440 --> 00:30:46,080 Speaker 4: I'm telling you, this is like an annual thing for me. 595 00:30:46,160 --> 00:30:46,560 Speaker 2: Huh. 596 00:30:46,600 --> 00:30:48,720 Speaker 4: I was doing this one time and a guy he says, 597 00:30:50,240 --> 00:30:54,600 Speaker 4: cranberry sauce is a liquid with a very high viscosity, 598 00:30:54,800 --> 00:30:56,480 Speaker 4: and I thought, well, you know, I had never thought 599 00:30:56,480 --> 00:30:57,320 Speaker 4: of it that way before. 600 00:30:57,400 --> 00:31:01,600 Speaker 2: Not true. Fat Well, when you put it that way, 601 00:31:01,880 --> 00:31:04,840 Speaker 2: maybe it is a sauce. No, not a sauce. 602 00:31:05,680 --> 00:31:10,560 Speaker 4: Unbelievable fifteenth annual KFI pastathonus here Chef Bruno's charity, Katerina's Club, 603 00:31:10,600 --> 00:31:12,880 Speaker 4: providing more than twenty five thousand meals to kids every 604 00:31:12,880 --> 00:31:16,480 Speaker 4: week in need in Southern California. And it's all because 605 00:31:16,480 --> 00:31:18,280 Speaker 4: of your generosity that it can happen. We've got the 606 00:31:18,320 --> 00:31:21,640 Speaker 4: live broadcast going on on Tuesday, the second from five 607 00:31:21,680 --> 00:31:24,600 Speaker 4: am wake up Call Amy King all the way through 608 00:31:24,640 --> 00:31:27,280 Speaker 4: eight pm. Conway is extending his show an hour, going 609 00:31:27,280 --> 00:31:30,640 Speaker 4: out to the Anaheim White House, South Anaheim Boulevarding. 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That's a secret code word. 620 00:31:59,480 --> 00:32:02,760 Speaker 4: Find all the details KFI AM six forty dot com 621 00:32:02,800 --> 00:32:08,000 Speaker 4: slash pastathon. All right, the studio is on sale and 622 00:32:08,040 --> 00:32:10,960 Speaker 4: it sounds like the takers are lining up onto round two. 623 00:32:11,760 --> 00:32:14,800 Speaker 4: Who will be the big winner in the streaming sale? 624 00:32:14,840 --> 00:32:17,640 Speaker 4: That's next, Chris Merril, KFI AM six forty. We're live 625 00:32:17,680 --> 00:32:18,840 Speaker 4: everywhere in the iHeartRadio 626 00:32:18,840 --> 00:32:22,320 Speaker 1: App, KFI AM six forty on demand