1 00:00:00,240 --> 00:00:04,680 Speaker 1: From UFOs to psychic powers and government conspiracies. History is 2 00:00:04,760 --> 00:00:09,080 Speaker 1: riddled with unexplained events. You can turn back now or 3 00:00:09,200 --> 00:00:12,079 Speaker 1: learn the stuff they don't want you to know. A 4 00:00:12,200 --> 00:00:25,520 Speaker 1: production of My Heart Radio. Hello, welcome back to the show. 5 00:00:25,600 --> 00:00:28,360 Speaker 1: My name is Matt, my name is Noel. They called 6 00:00:28,400 --> 00:00:30,480 Speaker 1: me Ben, and we are joined as always with our 7 00:00:30,560 --> 00:00:35,440 Speaker 1: super producer Paul. Mission Control deconds. Most importantly, you are you, 8 00:00:35,440 --> 00:00:38,400 Speaker 1: You are here, and that makes this the stuff they 9 00:00:38,479 --> 00:00:41,519 Speaker 1: don't want you to know. As we record, it is 10 00:00:41,560 --> 00:00:45,680 Speaker 1: a dark and stormy afternoon here in Atlanta, Georgia. I 11 00:00:45,760 --> 00:00:49,440 Speaker 1: love it, honestly. You know, you guys know that I 12 00:00:49,520 --> 00:00:53,280 Speaker 1: just live for dark, rainy weather and I feel like 13 00:00:53,320 --> 00:00:55,840 Speaker 1: Ghostbusters weather because it reminds me of like the scene 14 00:00:55,840 --> 00:00:57,560 Speaker 1: when the Traveler kind of shows up at the end 15 00:00:57,560 --> 00:01:00,440 Speaker 1: of the first movie and everything's kind of swirling around 16 00:01:00,480 --> 00:01:03,120 Speaker 1: and like a weird Cathulian Maelstrom. That's what it feels 17 00:01:03,160 --> 00:01:05,520 Speaker 1: like here in Atlanta right now. I want it to 18 00:01:05,560 --> 00:01:08,959 Speaker 1: be this weather all the time. Your mileage may vary, 19 00:01:08,959 --> 00:01:14,639 Speaker 1: but this weather is strangely appropriate. Uh. I was talking 20 00:01:14,680 --> 00:01:17,240 Speaker 1: about this on Twitter, where you can follow me on 21 00:01:17,240 --> 00:01:21,160 Speaker 1: Twitter and Instagram for spoilers, with episodes, but I felt 22 00:01:21,200 --> 00:01:23,520 Speaker 1: like we needed a disclaimer for this one. For all 23 00:01:23,520 --> 00:01:28,840 Speaker 1: our conspiracy realists, this episode is going to be surprisingly 24 00:01:29,200 --> 00:01:34,039 Speaker 1: not boring, guaranteed, and uh, the best way to start 25 00:01:34,120 --> 00:01:36,280 Speaker 1: talking about it is to say, you know, no matter 26 00:01:36,280 --> 00:01:39,440 Speaker 1: who you are or who you want to be, life, 27 00:01:39,480 --> 00:01:42,680 Speaker 1: when you think about it, for everyone, can be defined 28 00:01:42,720 --> 00:01:45,640 Speaker 1: as a series of tests. In the United States many 29 00:01:45,680 --> 00:01:50,360 Speaker 1: other countries, your path from childhood through adolescents to adulthood 30 00:01:50,800 --> 00:01:54,040 Speaker 1: is marked by test formal or informal. If we talk 31 00:01:54,120 --> 00:01:57,480 Speaker 1: about formal ones, you know immediately everybody thinks about the 32 00:01:57,520 --> 00:02:01,240 Speaker 1: school year. Since the industrial revel Ouan and the the 33 00:02:01,320 --> 00:02:05,080 Speaker 1: age of public schooling, you have to pass a series 34 00:02:05,080 --> 00:02:07,120 Speaker 1: of tests to move up to the next grade, and 35 00:02:07,160 --> 00:02:11,720 Speaker 1: you just rents and repeat until you graduate or drop out. 36 00:02:11,960 --> 00:02:13,919 Speaker 1: If you want a driver's license, you got to get 37 00:02:13,919 --> 00:02:17,040 Speaker 1: an exam. A huge part of your college career depends 38 00:02:17,120 --> 00:02:20,400 Speaker 1: upon your performance or used to depend upon your performance 39 00:02:20,480 --> 00:02:22,800 Speaker 1: on tests like the S A T or the A 40 00:02:22,919 --> 00:02:25,520 Speaker 1: C T. And those tests don't stop here. You know 41 00:02:25,720 --> 00:02:28,120 Speaker 1: after you get out of college. If you go to college, 42 00:02:28,400 --> 00:02:31,760 Speaker 1: then when you get a job, you are gonna have 43 00:02:31,880 --> 00:02:35,480 Speaker 1: different testing and qualification regimens. For that if you work 44 00:02:35,680 --> 00:02:38,440 Speaker 1: in certain fields of government, you have a background check. 45 00:02:38,560 --> 00:02:41,160 Speaker 1: It's a test you take all the time, and you 46 00:02:41,240 --> 00:02:45,840 Speaker 1: need industry specific qualifications. These are necessary, These are valid, 47 00:02:46,040 --> 00:02:49,040 Speaker 1: But that's not the whole story. When we're talking about this, 48 00:02:49,120 --> 00:02:52,799 Speaker 1: we need to talk about the much darker story behind 49 00:02:53,360 --> 00:02:58,240 Speaker 1: what's called standardized testing. Here are the facts, dude. I 50 00:02:58,320 --> 00:03:01,000 Speaker 1: was in line for some food at our former office 51 00:03:01,000 --> 00:03:04,600 Speaker 1: location behind a guy who's talking about is UH testing 52 00:03:04,680 --> 00:03:08,280 Speaker 1: for Google, like, you know, a multiple level you know 53 00:03:08,400 --> 00:03:12,920 Speaker 1: interview process that involved incredibly rigorous testing, and it was 54 00:03:13,000 --> 00:03:15,480 Speaker 1: like code this thing in thirty seconds, and it was 55 00:03:15,560 --> 00:03:18,160 Speaker 1: just fascinating hearing kind of the inside scoop of some 56 00:03:18,200 --> 00:03:21,840 Speaker 1: of these very industry specific tests. So to your point, Ben, no, 57 00:03:22,040 --> 00:03:24,360 Speaker 1: they don't stop, and they just get more specific and 58 00:03:24,480 --> 00:03:29,520 Speaker 1: kind of esoteric. And thank goodness for the stand all 59 00:03:29,639 --> 00:03:34,760 Speaker 1: the folk everywhere. I mean, this is the thing before 60 00:03:34,800 --> 00:03:37,360 Speaker 1: it sounds like a hit piece on stardized testing, which 61 00:03:37,400 --> 00:03:40,880 Speaker 1: this episode kind of is. In the interest of full transparency, 62 00:03:41,120 --> 00:03:44,240 Speaker 1: we do have to admit you're absolutely correct that standards 63 00:03:44,240 --> 00:03:49,520 Speaker 1: are a good thing. It is objectively great that doctors, pilots, teachers, plumbers, truckers, 64 00:03:49,600 --> 00:03:54,520 Speaker 1: anybody doing anything important has some kind of standard and training. 65 00:03:54,720 --> 00:03:56,760 Speaker 1: I mean, you don't want you don't want a surgeon 66 00:03:56,840 --> 00:03:58,920 Speaker 1: who just says, I kind of go with the vibe, 67 00:03:59,000 --> 00:04:01,720 Speaker 1: dearie Oregon trans plants. You know, I put on like 68 00:04:01,800 --> 00:04:05,120 Speaker 1: some low fi chill hip hop instrumental channels and I 69 00:04:05,200 --> 00:04:07,560 Speaker 1: just sort of go at it. You end up with 70 00:04:07,600 --> 00:04:10,600 Speaker 1: a kidney at the end. Uh. And you know some 71 00:04:10,640 --> 00:04:13,920 Speaker 1: people love taking tests. I take tests for fun. Um. 72 00:04:14,000 --> 00:04:18,440 Speaker 1: Yeah yeah, oh yeah. Tests are are great. They can 73 00:04:18,560 --> 00:04:20,520 Speaker 1: be I feel like every video game I play is 74 00:04:20,560 --> 00:04:24,120 Speaker 1: a little test. You know the same thing. Oh yeah, 75 00:04:24,160 --> 00:04:26,600 Speaker 1: we've all been in test mode with elden Ring. It's 76 00:04:26,600 --> 00:04:29,240 Speaker 1: about testing our metal and our ability to deal with 77 00:04:29,360 --> 00:04:33,719 Speaker 1: absolute frustration and like push through. Yeah. But but even 78 00:04:33,720 --> 00:04:37,680 Speaker 1: think about standards in a more general way, think about 79 00:04:37,680 --> 00:04:42,120 Speaker 1: a Phillip's head and a flathead screwdriver. My goodness, thank 80 00:04:42,120 --> 00:04:44,400 Speaker 1: goodness that we have those kinds of things where every 81 00:04:44,440 --> 00:04:47,360 Speaker 1: every screw that you encounter it actually it's not true. 82 00:04:47,440 --> 00:04:52,359 Speaker 1: There are a lot of less apple but mostly the 83 00:04:52,360 --> 00:04:54,960 Speaker 1: ones you encounter are going to be standardized, which is 84 00:04:55,080 --> 00:04:57,559 Speaker 1: very nice, and it means you don't have to spend 85 00:04:57,600 --> 00:05:00,480 Speaker 1: you know, hundreds and hundreds of dollars on screwdrivers. Yeah, 86 00:05:00,560 --> 00:05:03,040 Speaker 1: and it might surprise people to to know that even 87 00:05:03,720 --> 00:05:05,640 Speaker 1: even us here at stuff they don't want you to 88 00:05:05,680 --> 00:05:10,039 Speaker 1: know because of our parent company. Uh, we have testing 89 00:05:10,120 --> 00:05:13,400 Speaker 1: that we have to do every year, and some of 90 00:05:13,440 --> 00:05:18,280 Speaker 1: it is frankly hilarious. It's the workplace training videos where 91 00:05:18,279 --> 00:05:21,360 Speaker 1: they oh, there's the lightning where they ask uh weird 92 00:05:21,480 --> 00:05:25,120 Speaker 1: questions that have obvious answers like, Hey, you found out 93 00:05:25,360 --> 00:05:30,640 Speaker 1: employee A is uh stealing cars. That's what employee A 94 00:05:30,760 --> 00:05:34,120 Speaker 1: does on their lunch break, embezzling from the pension fund, 95 00:05:34,600 --> 00:05:38,720 Speaker 1: which the following actions. Will you take A I am 96 00:05:38,760 --> 00:05:41,559 Speaker 1: not a snitch. B I would ask them to stop 97 00:05:41,560 --> 00:05:48,440 Speaker 1: selling stealing cars see all of the above, right, or 98 00:05:49,000 --> 00:05:51,560 Speaker 1: asked to get cut in on the scam. That's always 99 00:05:52,560 --> 00:05:56,320 Speaker 1: so these tests that you have to take throughout your life, 100 00:05:56,320 --> 00:05:59,200 Speaker 1: they're gonna have very levels of rigor, but they are 101 00:06:00,040 --> 00:06:02,560 Speaker 1: This is crucial for us to establish. They are important. 102 00:06:02,680 --> 00:06:05,280 Speaker 1: You do need to have as a society some sort 103 00:06:05,320 --> 00:06:10,120 Speaker 1: of standardization, some sort of testing. And other societies realized 104 00:06:10,160 --> 00:06:14,880 Speaker 1: this long long, long before the United States was a thing. Yeah, 105 00:06:14,920 --> 00:06:18,560 Speaker 1: ancient cultures understood this from the jump because it makes 106 00:06:18,560 --> 00:06:21,440 Speaker 1: sense they underst of the importance of standards. UM. Some 107 00:06:21,520 --> 00:06:23,720 Speaker 1: of the earliest examples you might see go all the 108 00:06:23,760 --> 00:06:27,280 Speaker 1: way back to the Han dynasty in China. UM they 109 00:06:27,320 --> 00:06:32,640 Speaker 1: had standardized tests called Imperial examinations that were incredibly difficult 110 00:06:33,200 --> 00:06:37,680 Speaker 1: um also pretty corrupt in terms of identifying light who 111 00:06:37,760 --> 00:06:41,320 Speaker 1: you know might be in the pocket of the rulers. 112 00:06:41,760 --> 00:06:43,599 Speaker 1: Kind of reminds me of things like the knowledge. You 113 00:06:43,600 --> 00:06:46,240 Speaker 1: know that that test that all the cabbies have to 114 00:06:46,240 --> 00:06:48,919 Speaker 1: take in London because of all the crazy routes and 115 00:06:48,960 --> 00:06:51,039 Speaker 1: things they have to commit to memory. Um not the 116 00:06:51,040 --> 00:06:54,440 Speaker 1: case here with cab drivers or uber drivers. Also thank 117 00:06:54,480 --> 00:06:59,960 Speaker 1: god for GPS. But those tests, the Imperial examinations, weren't 118 00:07:00,000 --> 00:07:02,800 Speaker 1: credibly important because passing them meant that you'd get a 119 00:07:02,880 --> 00:07:05,920 Speaker 1: job working for the state. And it's also probably the 120 00:07:06,120 --> 00:07:10,600 Speaker 1: corruption angle. Oh yeah, and there were super super corrupt 121 00:07:10,680 --> 00:07:15,480 Speaker 1: and super difficult. Objectively, you had to know a ton 122 00:07:15,560 --> 00:07:17,920 Speaker 1: of things. I like that you shouted out the knowledge. 123 00:07:18,000 --> 00:07:20,880 Speaker 1: That's one of the most interesting tests that I'm aware 124 00:07:20,920 --> 00:07:22,680 Speaker 1: of in the modern day. If you want to learn 125 00:07:22,720 --> 00:07:26,960 Speaker 1: about what affect the knowledge has on the drivers who 126 00:07:27,000 --> 00:07:30,160 Speaker 1: pass it, then do check out our mind over Matter episodes. 127 00:07:30,200 --> 00:07:32,400 Speaker 1: You can also check out the car stuff episode the 128 00:07:32,480 --> 00:07:38,720 Speaker 1: Knowledge spoiler. If fundamentally changes physiological aspects of their brains, 129 00:07:38,960 --> 00:07:42,120 Speaker 1: like pathways right like they're in the nerves, the pathways 130 00:07:42,160 --> 00:07:46,080 Speaker 1: that neurons fire and such and this, and even the 131 00:07:46,160 --> 00:07:48,960 Speaker 1: size of regions of the size and density of regions 132 00:07:48,960 --> 00:07:54,600 Speaker 1: of the brain is associated with spatial location and geography 133 00:07:54,680 --> 00:07:58,600 Speaker 1: and geometry. It's nuts. You can also see similar brain 134 00:07:58,720 --> 00:08:04,400 Speaker 1: changes in Buddhist monks who practice non violence and intense meditation. 135 00:08:04,520 --> 00:08:07,080 Speaker 1: I'm telling you, it's amazing. See. I wonder if the 136 00:08:07,080 --> 00:08:09,560 Speaker 1: opposite is true, though, because I'm so bad at directions, 137 00:08:09,640 --> 00:08:12,040 Speaker 1: that part of my brain is probably already pretty atrophied. 138 00:08:12,240 --> 00:08:15,240 Speaker 1: But the fact that I just rely entirely one and 139 00:08:15,280 --> 00:08:18,400 Speaker 1: fifty on maps, I think that part of my brain 140 00:08:18,440 --> 00:08:20,840 Speaker 1: has either gone away entirely or been replaced with like 141 00:08:21,520 --> 00:08:26,560 Speaker 1: music trivia. At this point, the memorization stuff gets gets 142 00:08:26,600 --> 00:08:30,320 Speaker 1: a little tricky because the idea of consciousness we're all 143 00:08:30,360 --> 00:08:33,400 Speaker 1: sort of songs that we sing to ourselves. That's probably 144 00:08:33,400 --> 00:08:37,480 Speaker 1: the best way to to, uh, to poetically define the 145 00:08:37,559 --> 00:08:40,640 Speaker 1: idea of consciousness. But your brain is busy and uh 146 00:08:40,679 --> 00:08:43,840 Speaker 1: that and pretty much everybody is very intelligent in one 147 00:08:43,840 --> 00:08:46,920 Speaker 1: way or another. So like, if you're not using those 148 00:08:46,960 --> 00:08:49,760 Speaker 1: parts of your brain, then yeah, it's a muscle kind 149 00:08:49,760 --> 00:08:52,040 Speaker 1: of you'll fall out of exercise. But your brains do 150 00:08:52,080 --> 00:08:55,560 Speaker 1: another stuff too. And I bet it's more than just 151 00:08:55,559 --> 00:08:58,439 Speaker 1: just trivia, because we're all we're all sponges for trivia. 152 00:08:58,520 --> 00:09:01,559 Speaker 1: But I bet, I mean, why would you don't need 153 00:09:01,600 --> 00:09:06,200 Speaker 1: the knowledge? That's why it's so impressive. Anyway, I can 154 00:09:06,240 --> 00:09:08,719 Speaker 1: talk about that one for hours, but okay, sorry, sorry, 155 00:09:09,320 --> 00:09:13,360 Speaker 1: before taxis before the amazing knowledge. Right before these studies 156 00:09:13,400 --> 00:09:16,840 Speaker 1: of the brain, other people and other cultures picked up 157 00:09:16,880 --> 00:09:20,360 Speaker 1: on the Han dynasty's testing idea, and they have many, 158 00:09:20,440 --> 00:09:23,240 Speaker 1: many other iterations of this. As government's changed in that 159 00:09:23,280 --> 00:09:25,920 Speaker 1: part of the world. Fast forward to the eighteen hundreds, 160 00:09:26,480 --> 00:09:30,000 Speaker 1: the continent of Europe picks up this idea and runs 161 00:09:30,040 --> 00:09:32,079 Speaker 1: with it and says, all right, we're gonna we're gonna 162 00:09:32,120 --> 00:09:35,640 Speaker 1: test people too. And then, of course, because the US 163 00:09:35,720 --> 00:09:38,240 Speaker 1: got a ton of its ideas from Europe and the 164 00:09:38,320 --> 00:09:42,920 Speaker 1: United Kingdom specifically, they had some form of standardized testing 165 00:09:43,360 --> 00:09:47,240 Speaker 1: in the education system since about the eighteen hundreds, but 166 00:09:47,480 --> 00:09:52,120 Speaker 1: right now, ever since about the nineteen hundreds, the US 167 00:09:52,200 --> 00:09:57,040 Speaker 1: has become increasingly dependent on standardized testing. Some people think 168 00:09:57,120 --> 00:09:59,240 Speaker 1: that's great. Some people have a huge problem with it. 169 00:09:59,400 --> 00:10:01,360 Speaker 1: I kind of bet some of those early tests, the 170 00:10:01,360 --> 00:10:06,040 Speaker 1: standardized tests in the US were more functional tests, like 171 00:10:06,080 --> 00:10:09,280 Speaker 1: if you're a journeyman or you know, an apprentice or something, 172 00:10:09,280 --> 00:10:11,560 Speaker 1: your tests would necessarily be written, but you'd have to 173 00:10:11,600 --> 00:10:13,640 Speaker 1: like make like a box or something, and then your 174 00:10:13,760 --> 00:10:16,319 Speaker 1: you know, your boss would watch you and grade you 175 00:10:16,480 --> 00:10:20,640 Speaker 1: visually make a masterpiece. Yeah, I want to quickly shout 176 00:10:20,640 --> 00:10:23,960 Speaker 1: out something called the Committee of Ten. It was a 177 00:10:24,040 --> 00:10:28,120 Speaker 1: group of educators from universities and colleges that got together 178 00:10:28,200 --> 00:10:31,280 Speaker 1: here in the US everywhere from the University of Michigan 179 00:10:31,360 --> 00:10:35,960 Speaker 1: to Harvard to Vassar. A bunch of representatives got together 180 00:10:36,600 --> 00:10:40,520 Speaker 1: from these universities and they they decided, basically, here's what 181 00:10:40,920 --> 00:10:45,760 Speaker 1: needs to be taught to kids from you know, kindergarten 182 00:10:45,920 --> 00:10:49,680 Speaker 1: to twelfth grade. Basically, here are recommendations at least of 183 00:10:49,760 --> 00:10:52,160 Speaker 1: what kids need to learn on a basic level to 184 00:10:52,240 --> 00:10:55,199 Speaker 1: be able to function within a university setting, which is 185 00:10:55,240 --> 00:10:57,800 Speaker 1: really interesting to think about. So that was like one 186 00:10:57,800 --> 00:11:00,720 Speaker 1: of the first times that within the U s there's 187 00:11:00,760 --> 00:11:02,920 Speaker 1: some kind of standard for what needs to be taught. 188 00:11:02,960 --> 00:11:05,480 Speaker 1: And then, as Ben is saying, in the early nineteen hundreds, 189 00:11:05,720 --> 00:11:07,880 Speaker 1: we start looking at, well, how do we actually test 190 00:11:08,000 --> 00:11:10,680 Speaker 1: these kids on an individual level to see if they're 191 00:11:10,720 --> 00:11:14,000 Speaker 1: matching up to the standards we want them to meet well. 192 00:11:14,040 --> 00:11:15,880 Speaker 1: And I think we all know that, like Germany is 193 00:11:15,880 --> 00:11:19,560 Speaker 1: really focused on standards and tests, and the education system 194 00:11:19,559 --> 00:11:22,120 Speaker 1: in Germany even to this day, I believe follows the 195 00:11:22,160 --> 00:11:24,640 Speaker 1: models that were probably set out way back when, like 196 00:11:24,720 --> 00:11:27,080 Speaker 1: the idea of gymnaseum, you know, and like you know, 197 00:11:27,200 --> 00:11:29,440 Speaker 1: kindergarten and all of that stuff, Like everything kind of 198 00:11:29,520 --> 00:11:31,640 Speaker 1: led to the next thing in a way that was 199 00:11:31,720 --> 00:11:33,760 Speaker 1: much more efficient than I think what we have here 200 00:11:33,880 --> 00:11:35,839 Speaker 1: and much more standardized than we have here in the 201 00:11:35,920 --> 00:11:39,560 Speaker 1: United States today. Trades and vocational school are also not 202 00:11:39,679 --> 00:11:43,480 Speaker 1: as vilified as they are in the modern United States, 203 00:11:43,520 --> 00:11:46,480 Speaker 1: which is a whole other bag of badgers for anybody 204 00:11:46,480 --> 00:11:50,439 Speaker 1: playing the bingo drinking game. So yeah, so let's let's 205 00:11:50,480 --> 00:11:52,680 Speaker 1: look at college. That We're going to talk a lot 206 00:11:52,760 --> 00:11:56,280 Speaker 1: about the testing for college and the military, because they 207 00:11:56,280 --> 00:11:59,440 Speaker 1: are hand in hand and there is a dark genesis 208 00:11:59,520 --> 00:12:02,400 Speaker 1: for both them. So there's this thing called the College 209 00:12:02,480 --> 00:12:07,560 Speaker 1: Insurance Examination Board. Um. They picture them as like the 210 00:12:07,640 --> 00:12:11,320 Speaker 1: same demographic of people in the committee attend like they 211 00:12:11,400 --> 00:12:13,960 Speaker 1: kick it. They kind of know about each other. And 212 00:12:14,520 --> 00:12:19,240 Speaker 1: this board offered their first exams in nine one. This 213 00:12:19,360 --> 00:12:22,360 Speaker 1: was entirely for the elite. UH. It was meant to 214 00:12:22,559 --> 00:12:27,680 Speaker 1: standardize admission requirements for UH POSH boarding schools and for 215 00:12:27,800 --> 00:12:30,840 Speaker 1: the IVY leagues. All well and good people, dug it. 216 00:12:31,080 --> 00:12:36,880 Speaker 1: Fast forward, World War one hits. The military institutes a 217 00:12:37,000 --> 00:12:40,960 Speaker 1: number of aptitude and placement tests, specifically the Alpha and 218 00:12:41,000 --> 00:12:44,120 Speaker 1: the Beta test. The idea here is that they will 219 00:12:44,160 --> 00:12:49,080 Speaker 1: match new recruits to specific appropriate roles in the military 220 00:12:49,120 --> 00:12:52,840 Speaker 1: based on their perceived intelligence. And I hope you hear 221 00:12:52,880 --> 00:12:56,840 Speaker 1: the italics when I say perceived, because that comes back 222 00:12:56,880 --> 00:12:59,480 Speaker 1: in a big, big way. And of course, you know, 223 00:12:59,520 --> 00:13:02,320 Speaker 1: whenever you about standardized tests, you think of the i 224 00:13:02,520 --> 00:13:06,240 Speaker 1: Q test, the Stanford Binet intelligence test that comes around 225 00:13:06,280 --> 00:13:10,559 Speaker 1: in nineteen sixteen. It's been controversial ever since because parts 226 00:13:10,559 --> 00:13:13,520 Speaker 1: of it are broken. Uh. There's the what was originally 227 00:13:13,520 --> 00:13:17,000 Speaker 1: called the Scholar Aptitude Test or s A T. And 228 00:13:17,080 --> 00:13:20,199 Speaker 1: don't just know that saying s A T test is 229 00:13:20,240 --> 00:13:22,679 Speaker 1: like saying a T M machine or VIN number. You 230 00:13:22,720 --> 00:13:25,160 Speaker 1: could just call it s A T. Right. Uh, that's 231 00:13:25,280 --> 00:13:28,720 Speaker 1: nineteen six. It's invented by a guy who is a 232 00:13:28,720 --> 00:13:31,880 Speaker 1: main character of our story, but by no means a protagonist. 233 00:13:32,200 --> 00:13:36,680 Speaker 1: It's actually a tragic figure. His name is Carl Campbell Brigham. 234 00:13:36,960 --> 00:13:40,199 Speaker 1: When he invinced the s A T six. He's doing 235 00:13:40,240 --> 00:13:43,440 Speaker 1: it based on those Army tests because he created those. 236 00:13:43,679 --> 00:13:47,040 Speaker 1: And we'll Carl's gonna come back. Keep your mind on Carl, 237 00:13:47,440 --> 00:13:50,480 Speaker 1: and and don't make friends with him. Uh. Then there's 238 00:13:50,520 --> 00:13:54,040 Speaker 1: this guy, Everett Lindquist. He created the A C T 239 00:13:54,600 --> 00:13:58,080 Speaker 1: American College Testing in nineteen fifty nine. All right, So 240 00:13:58,120 --> 00:14:02,160 Speaker 1: now we're in the nineteen seventies. Individual states, that's what 241 00:14:02,240 --> 00:14:05,400 Speaker 1: the US is all about, and they kind of have 242 00:14:05,480 --> 00:14:09,880 Speaker 1: their own fiefdoms when it comes to education. So if 243 00:14:09,920 --> 00:14:12,880 Speaker 1: you are a kid in Massachusetts, you're getting a different 244 00:14:12,960 --> 00:14:16,000 Speaker 1: education from a kid in Hawaii, or a kid in 245 00:14:16,080 --> 00:14:19,000 Speaker 1: Texas or a kid in you know, Washington or something. 246 00:14:20,040 --> 00:14:24,400 Speaker 1: The education system is decentralized. This means that states control 247 00:14:24,520 --> 00:14:28,480 Speaker 1: their own systems, and frankly, some do a better job 248 00:14:28,600 --> 00:14:32,680 Speaker 1: than others. So this national testing regime that comes out 249 00:14:33,120 --> 00:14:36,040 Speaker 1: is a way for the federal government to get like 250 00:14:36,080 --> 00:14:41,080 Speaker 1: a bigger, high level view of American over education overall, 251 00:14:41,520 --> 00:14:45,600 Speaker 1: and then very soon, like increasingly as the years went on, 252 00:14:46,080 --> 00:14:50,080 Speaker 1: funding for schools got tied to test performance, which meant 253 00:14:50,160 --> 00:14:53,480 Speaker 1: that things like the No Child Left Behind Act of 254 00:14:53,520 --> 00:14:56,920 Speaker 1: two thousand and one would say, hey, if you're if 255 00:14:56,960 --> 00:15:00,840 Speaker 1: your student body isn't doing well on these specific test, 256 00:15:01,280 --> 00:15:05,120 Speaker 1: then your funding will be in trouble. Uh. If you 257 00:15:05,160 --> 00:15:07,360 Speaker 1: have any teachers in your family, you know this was 258 00:15:07,400 --> 00:15:12,000 Speaker 1: tremendously unpopular. Teach the test, yes, the test well. And 259 00:15:12,040 --> 00:15:14,480 Speaker 1: a lot of that goes back to a report that 260 00:15:14,560 --> 00:15:17,440 Speaker 1: came out titled A Nation at Risk the Imperative for 261 00:15:17,640 --> 00:15:22,000 Speaker 1: Educational Reform, which occurred in ninety three, just after the seventies, 262 00:15:22,040 --> 00:15:25,240 Speaker 1: as you said, Ben, after the push for a need 263 00:15:25,320 --> 00:15:28,680 Speaker 1: to see how the nation is doing, especially when compared 264 00:15:28,720 --> 00:15:32,360 Speaker 1: to other countries, and this report, A Nation at Risk 265 00:15:32,520 --> 00:15:36,120 Speaker 1: basically stated, hey, the US is following way, way behind 266 00:15:36,360 --> 00:15:40,400 Speaker 1: on its standards for what each individual kid knows. Yeah, 267 00:15:40,560 --> 00:15:44,640 Speaker 1: an education gap, which is something that honestly is a 268 00:15:44,680 --> 00:15:49,560 Speaker 1: calculated framework because you can take people who might ideologically 269 00:15:49,680 --> 00:15:54,000 Speaker 1: say we don't want to fund more stuff unless it's 270 00:15:54,080 --> 00:15:58,400 Speaker 1: a defense initiative. But then if you phrase education as 271 00:15:58,400 --> 00:16:01,360 Speaker 1: a matter of national defense, which very much is. Then 272 00:16:01,920 --> 00:16:05,080 Speaker 1: you are you have a higher chance of getting those 273 00:16:05,120 --> 00:16:09,080 Speaker 1: people on board. I wrote an essay many years ago 274 00:16:09,720 --> 00:16:14,800 Speaker 1: that was entirely phrasing public healthcare as an issue of 275 00:16:14,920 --> 00:16:19,320 Speaker 1: national defense. Believe it is well. And also, like you know, 276 00:16:19,400 --> 00:16:22,440 Speaker 1: a buzz phrase or like a program title like no 277 00:16:22,640 --> 00:16:26,680 Speaker 1: Child Left Behind gives this sense of this egalitarian kind 278 00:16:26,720 --> 00:16:30,240 Speaker 1: of like equality for all children and education. But the 279 00:16:30,280 --> 00:16:33,440 Speaker 1: reality is just because the program exists doesn't make those 280 00:16:33,480 --> 00:16:39,120 Speaker 1: individualized kind of legacy school systems with their various resources 281 00:16:39,160 --> 00:16:41,920 Speaker 1: depending on where they're located, and then who is going 282 00:16:41,960 --> 00:16:44,440 Speaker 1: to the schools, and what kind of money is flowing 283 00:16:44,480 --> 00:16:46,880 Speaker 1: in and out of them, whether they're private, whether they're public, 284 00:16:46,880 --> 00:16:50,840 Speaker 1: it doesn't make them fundamentally change. How do I hear? 285 00:16:51,160 --> 00:16:53,280 Speaker 1: Do I hear the Senator from Georgia? Right? Is he 286 00:16:53,400 --> 00:16:58,800 Speaker 1: against no Child left behind? Oh? You are against no 287 00:16:59,000 --> 00:17:02,120 Speaker 1: child left behind? Day? So you don't like children? Is 288 00:17:02,160 --> 00:17:04,679 Speaker 1: that what you're saying? You don't want children to succeed? 289 00:17:05,440 --> 00:17:09,560 Speaker 1: Sir the gentleman, Welcome back to a b conspiracy or 290 00:17:09,680 --> 00:17:12,399 Speaker 1: news at ten. We have just received word that the 291 00:17:12,440 --> 00:17:15,800 Speaker 1: Senator from Georgia has left hundreds, if not hundreds of 292 00:17:15,840 --> 00:17:19,360 Speaker 1: thousands of children behind in the homes and farms across 293 00:17:19,440 --> 00:17:25,920 Speaker 1: the good state, who will find them found again? And 294 00:17:26,160 --> 00:17:29,920 Speaker 1: see um. At this point you might be thinking, Okay, 295 00:17:29,960 --> 00:17:33,840 Speaker 1: this makes sense. I understand the point standards testing, et cetera. 296 00:17:34,080 --> 00:17:36,399 Speaker 1: But why are you guys talking about it on stuff 297 00:17:36,400 --> 00:17:38,560 Speaker 1: they don't want you to know a show that applies 298 00:17:38,640 --> 00:17:45,080 Speaker 1: critical thinking to troubling subjects. Well, it's because standardized testing 299 00:17:45,240 --> 00:17:48,840 Speaker 1: is a massively troubled subject. First, just to put it plainly, 300 00:17:49,400 --> 00:17:52,400 Speaker 1: the dumbest thing, and I say this truly in a 301 00:17:52,440 --> 00:17:58,000 Speaker 1: truly affectionate manner, is that right now? For the entirety 302 00:17:58,080 --> 00:18:02,880 Speaker 1: of human history, no, not once, not never has been 303 00:18:02,920 --> 00:18:08,720 Speaker 1: able to make a real, fair and effective definition of 304 00:18:08,760 --> 00:18:13,560 Speaker 1: intelligence that everybody accepts, as evidenced by how many different 305 00:18:13,600 --> 00:18:16,560 Speaker 1: tests there are, and how many different flavors of tests, 306 00:18:16,600 --> 00:18:20,000 Speaker 1: and how much debate there is around what they're actually measuring. 307 00:18:20,040 --> 00:18:22,960 Speaker 1: In which one is liquid end quote best, because there 308 00:18:23,040 --> 00:18:26,679 Speaker 1: isn't one, otherwise there'd be like one. But there's a 309 00:18:26,720 --> 00:18:30,080 Speaker 1: ton and capitalism plays a role in that too, just spoiler, 310 00:18:30,320 --> 00:18:33,560 Speaker 1: but there's there's uh. You know, it is interesting. There 311 00:18:33,600 --> 00:18:36,280 Speaker 1: are people who have done brilliant people have done brilliant 312 00:18:36,320 --> 00:18:39,200 Speaker 1: work on this, at least in my dumb opinion. And 313 00:18:39,440 --> 00:18:44,639 Speaker 1: you'll see competing models like is intelligence multidimensional? Meaning should 314 00:18:44,640 --> 00:18:49,160 Speaker 1: we say that um quantitative intelligence is different from interpersonal 315 00:18:49,200 --> 00:18:54,280 Speaker 1: intelligence or Kinnecticut's intelligence. And then you'll have people who say, well, functionally, 316 00:18:54,600 --> 00:18:59,320 Speaker 1: intelligence should just be defined as the ability to uh 317 00:18:59,440 --> 00:19:03,520 Speaker 1: to op rate well and given circumstances or environments. That 318 00:19:03,560 --> 00:19:07,680 Speaker 1: means that someone like Albert Einstein would be very unintelligent 319 00:19:07,760 --> 00:19:10,359 Speaker 1: in the Paleolithic era because he doesn't know how to 320 00:19:10,440 --> 00:19:12,520 Speaker 1: do the things they are important to being alive at 321 00:19:12,560 --> 00:19:17,200 Speaker 1: that time. So there's a lot of understands him. He's 322 00:19:17,240 --> 00:19:20,200 Speaker 1: just he's a gibberator the whole time. You know, they 323 00:19:20,240 --> 00:19:24,639 Speaker 1: sacrifice him to like whatever uh nature thing they're worshiping 324 00:19:24,680 --> 00:19:27,160 Speaker 1: at the time. They would have just shaved his mustache 325 00:19:27,200 --> 00:19:29,960 Speaker 1: and head hair for like, you know, warmth, you know, 326 00:19:30,080 --> 00:19:31,959 Speaker 1: to make like a tiny sweater out of it, or 327 00:19:32,160 --> 00:19:36,320 Speaker 1: burning a pyre of some sort. Well, okay, first there 328 00:19:36,320 --> 00:19:39,280 Speaker 1: would have been disease spread and then secondly they probably 329 00:19:39,280 --> 00:19:44,600 Speaker 1: would have preserved his clothing as well as they could anyway. Anyway, 330 00:19:45,040 --> 00:19:47,800 Speaker 1: so many things to unpack about Albert Einstein is just 331 00:19:47,880 --> 00:19:51,399 Speaker 1: turning up in Paleolithic era. So many questions he's a 332 00:19:51,440 --> 00:19:54,360 Speaker 1: wild womanizer there, I think you would have. I don't 333 00:19:54,359 --> 00:19:57,639 Speaker 1: think you're wasted some time, um too much time before 334 00:19:57,640 --> 00:20:01,399 Speaker 1: he started chatting up the locals. But here's the problem. 335 00:20:01,440 --> 00:20:04,600 Speaker 1: The reason we're making a big deal about the attempts 336 00:20:04,600 --> 00:20:08,320 Speaker 1: to define intelligence are because at a very basic level, 337 00:20:09,240 --> 00:20:13,520 Speaker 1: you can't really test for something if you don't understand it. 338 00:20:14,000 --> 00:20:16,400 Speaker 1: That's one of the problems with ghost hunting. If there's 339 00:20:16,440 --> 00:20:19,680 Speaker 1: no way to measure a phenomenon and people have tried, 340 00:20:20,080 --> 00:20:22,960 Speaker 1: then how what are you hunting for exactly? You have 341 00:20:23,040 --> 00:20:25,240 Speaker 1: to define You have to be able to understand define 342 00:20:25,280 --> 00:20:27,600 Speaker 1: what you're looking for. And people have done this. And 343 00:20:27,600 --> 00:20:30,000 Speaker 1: we're not saying they're all flim flam artists. We're just 344 00:20:30,000 --> 00:20:34,320 Speaker 1: saying it's really difficult problem and it bears scrutiny. Second, 345 00:20:34,720 --> 00:20:37,239 Speaker 1: even though we know these tests are imperfect, we have 346 00:20:37,320 --> 00:20:40,960 Speaker 1: to acknowledge they're also based on previous tests. The s 347 00:20:41,000 --> 00:20:43,920 Speaker 1: A T comes to you courtesy of the same guy 348 00:20:43,960 --> 00:20:46,200 Speaker 1: who wrote those tests for the Army of World War One, 349 00:20:46,680 --> 00:20:50,520 Speaker 1: So they carry improvements right with each success of iteration. 350 00:20:50,560 --> 00:20:53,680 Speaker 1: There are new improvements and they are made in good faith, 351 00:20:53,960 --> 00:20:58,000 Speaker 1: but I would argue those iterations often carry the sins 352 00:20:58,040 --> 00:21:00,720 Speaker 1: of previous generations as well. It's like we were talking 353 00:21:00,720 --> 00:21:03,119 Speaker 1: about earlier. You can test whether someone can build a 354 00:21:03,119 --> 00:21:05,920 Speaker 1: wooden box by making them build a wooden box and 355 00:21:05,960 --> 00:21:08,159 Speaker 1: then watching them and seeing if they like all the 356 00:21:08,240 --> 00:21:10,359 Speaker 1: sides are the same, you know, length and all of 357 00:21:10,359 --> 00:21:13,160 Speaker 1: that stuff. Um, But it's a lot harder to test 358 00:21:13,280 --> 00:21:18,920 Speaker 1: a bigger picture intellect, something that would encompass many potential skills, 359 00:21:19,480 --> 00:21:22,760 Speaker 1: um and abilities and things that you haven't even necessarily 360 00:21:22,880 --> 00:21:27,560 Speaker 1: learned yet, right right, Like the s a t UH 361 00:21:28,000 --> 00:21:32,920 Speaker 1: is theoretically designed not necessarily to test memorization abilities so 362 00:21:33,000 --> 00:21:36,119 Speaker 1: much as to test one's ability to learn, which is 363 00:21:36,200 --> 00:21:39,040 Speaker 1: kind of what the i Q test originally is. I mean, 364 00:21:39,080 --> 00:21:42,200 Speaker 1: it's what it's aiming for as well. But this kind 365 00:21:42,200 --> 00:21:46,879 Speaker 1: of testing in the US in particular can be wildly 366 00:21:47,000 --> 00:21:51,480 Speaker 1: unfair due to numerous factors both inside and outside the classroom. 367 00:21:51,800 --> 00:21:54,640 Speaker 1: And though you won't hear about this in your high 368 00:21:54,680 --> 00:21:57,919 Speaker 1: school s a T prep course, a lot of these 369 00:21:57,960 --> 00:22:02,879 Speaker 1: tests have a profoundly, deeply unclean origin, and we're going 370 00:22:02,920 --> 00:22:05,520 Speaker 1: to dive into it. After a word from our sponsors. 371 00:22:12,800 --> 00:22:16,080 Speaker 1: Here's where it gets crazy. All right, here's the kicker, 372 00:22:16,280 --> 00:22:20,399 Speaker 1: the guy we mentioned Carl, Carl Brigham. He's more or 373 00:22:20,520 --> 00:22:24,880 Speaker 1: less the father of American standardized testing, and he's an 374 00:22:24,920 --> 00:22:29,440 Speaker 1: absolute He's a real pill. Yeah, and even worse, you 375 00:22:29,480 --> 00:22:33,119 Speaker 1: could say he's not good at his job. He was 376 00:22:33,160 --> 00:22:35,040 Speaker 1: just kind of the guy. He just became the guy. 377 00:22:35,160 --> 00:22:37,240 Speaker 1: When you invent the idea of a thing, you get 378 00:22:37,280 --> 00:22:41,320 Speaker 1: to do it kind of however you want. Gosh, well, 379 00:22:41,359 --> 00:22:44,240 Speaker 1: are you saying he's like a eugenicist or something. He 380 00:22:44,400 --> 00:22:48,920 Speaker 1: is exactly a eugenicist math. Yeah, he was super into it. 381 00:22:48,920 --> 00:22:52,399 Speaker 1: It's like eugenics was like a baby he had just had. 382 00:22:52,440 --> 00:22:55,040 Speaker 1: And every conversation you try to have with him goes 383 00:22:55,080 --> 00:22:57,600 Speaker 1: back to eugenics. It doesn't matter what you could be 384 00:22:57,600 --> 00:23:01,520 Speaker 1: talking about, you know, brunch, and he would be like, well, 385 00:23:01,640 --> 00:23:05,520 Speaker 1: of course the Nordic racist make the sup or something. 386 00:23:05,600 --> 00:23:09,119 Speaker 1: I don't know if that's what sounds like, but you 387 00:23:10,000 --> 00:23:13,080 Speaker 1: have a better relationship with the egg. Check out our 388 00:23:13,160 --> 00:23:18,800 Speaker 1: upcoming Ridiculous History episode on phrenology. Uh teaser um. So yeah. 389 00:23:18,960 --> 00:23:24,160 Speaker 1: From pretty much day one, this guy, Carl was convinced 390 00:23:24,200 --> 00:23:27,800 Speaker 1: that some people were just better than others. By any metric. 391 00:23:28,359 --> 00:23:32,240 Speaker 1: He was a psychologist, but he was a psychologist for 392 00:23:32,280 --> 00:23:35,280 Speaker 1: the purposes of being a die hard eugenicist. He wrote 393 00:23:35,280 --> 00:23:38,800 Speaker 1: a book in nine called a Study of American Intelligence. 394 00:23:39,160 --> 00:23:42,840 Speaker 1: So we're not we're not quoting propaganda by his enemies. 395 00:23:43,119 --> 00:23:45,760 Speaker 1: He wrote this stuff. You can read it. Uh. And 396 00:23:45,880 --> 00:23:48,399 Speaker 1: he said that, based on the test he had conducted 397 00:23:48,440 --> 00:23:55,160 Speaker 1: for the army, native born, white Americans were the intellectual 398 00:23:55,280 --> 00:23:58,960 Speaker 1: top dogs. And then he said also the quote Nordic 399 00:23:59,080 --> 00:24:04,520 Speaker 1: race is better than what he called the Alpine race. 400 00:24:05,200 --> 00:24:09,200 Speaker 1: The Alpine race, in Carl's mind is anyone from Eastern Europe. 401 00:24:10,000 --> 00:24:15,240 Speaker 1: It's it's very like, not wide enough for him. Wow, 402 00:24:15,760 --> 00:24:18,600 Speaker 1: But Carl seemed to know what he was talking about 403 00:24:18,640 --> 00:24:21,520 Speaker 1: for enough people who seemed to be like minded enough 404 00:24:21,880 --> 00:24:27,680 Speaker 1: that his ideas just took on like wildfire. Isn't that nice? Yeah? Oh? 405 00:24:27,800 --> 00:24:30,840 Speaker 1: He also, by the way, said that um quote Mediterranean 406 00:24:31,480 --> 00:24:35,760 Speaker 1: and uh, and black people are at the bottom of 407 00:24:35,760 --> 00:24:40,120 Speaker 1: of the hierarchy. Yeah. And you make a good point, Matt, 408 00:24:40,200 --> 00:24:44,520 Speaker 1: because it's dangerous psychologically. We know that folks like hearing 409 00:24:44,640 --> 00:24:48,320 Speaker 1: good things about themselves so much so that they won't 410 00:24:49,200 --> 00:24:52,040 Speaker 1: stress too much about whether this is actually true. This 411 00:24:52,119 --> 00:24:56,480 Speaker 1: is garbage science. But the people in power consider themselves 412 00:24:56,760 --> 00:25:00,480 Speaker 1: native born white Americans, probably descended from a New Grace, 413 00:25:00,600 --> 00:25:03,199 Speaker 1: and so they think, Okay, yeah, this makes sense. Is 414 00:25:03,200 --> 00:25:06,000 Speaker 1: why I'm at the top, because I'm just I'm just better. 415 00:25:06,640 --> 00:25:09,159 Speaker 1: Shout out to that. Does being wealthy make you a 416 00:25:09,160 --> 00:25:12,240 Speaker 1: bad person? Episode? So all right, so why are we 417 00:25:12,280 --> 00:25:16,080 Speaker 1: saying he's bad at his job? Though? Well? Uh? He 418 00:25:16,080 --> 00:25:22,120 Speaker 1: he lacked a very important facet of being a scientist, objectivity. 419 00:25:22,760 --> 00:25:26,679 Speaker 1: He lacked that entirely. Um, he had absolutely pre existing 420 00:25:27,080 --> 00:25:32,320 Speaker 1: prejudices and ideas things that he wanted to confirm with 421 00:25:32,480 --> 00:25:36,600 Speaker 1: his research. Um. And this is not how you do science. 422 00:25:36,680 --> 00:25:40,760 Speaker 1: That yields bad science almost every single time. It is 423 00:25:40,800 --> 00:25:44,080 Speaker 1: a foundational component of science that you are supposed to 424 00:25:44,440 --> 00:25:47,440 Speaker 1: not have advanced ideas of what result you are going 425 00:25:47,480 --> 00:25:50,520 Speaker 1: to get, because then it makes you kind of change 426 00:25:50,560 --> 00:25:53,000 Speaker 1: things in order to get that desired result. This is 427 00:25:53,040 --> 00:25:56,400 Speaker 1: something called confirmation bias, but on a much larger kind 428 00:25:56,400 --> 00:26:00,280 Speaker 1: of like institutional level. So in particular, he was a 429 00:26:00,280 --> 00:26:02,520 Speaker 1: big fan of eugenics, like you said, Ben, and he 430 00:26:02,920 --> 00:26:09,600 Speaker 1: wanted to support these ideas with his weird hack science. Also, 431 00:26:09,680 --> 00:26:14,439 Speaker 1: he was really against immigration, surprise, appression, And we're not 432 00:26:14,520 --> 00:26:17,119 Speaker 1: just saying like, oh, he liked eugenics. This dude was 433 00:26:17,160 --> 00:26:20,680 Speaker 1: on a board, right, Yes, yeah, he's on the advisory 434 00:26:20,720 --> 00:26:25,480 Speaker 1: Council of the American Eugenic Society. He is about that life, uh, 435 00:26:25,520 --> 00:26:28,359 Speaker 1: and he was a big wheel in the movement. So 436 00:26:28,520 --> 00:26:30,919 Speaker 1: his test, like you were saying, you all his tests 437 00:26:30,920 --> 00:26:37,040 Speaker 1: aren't really meant to objectively determine a person's mental prowess. 438 00:26:37,320 --> 00:26:40,200 Speaker 1: They're meant to give him his masters and his cronies 439 00:26:40,520 --> 00:26:45,560 Speaker 1: ammunition for their existing socio political goals. It's a conspiracy. 440 00:26:45,680 --> 00:26:49,800 Speaker 1: He thinks that he is the good guy fighting for 441 00:26:50,000 --> 00:26:53,359 Speaker 1: some sort of shining beacon on a hill. His view 442 00:26:53,440 --> 00:26:57,560 Speaker 1: of what America should be, which is namely, uh, Protestant 443 00:26:57,920 --> 00:27:03,200 Speaker 1: and white extract from Northern Europe. So he also thought 444 00:27:03,200 --> 00:27:07,120 Speaker 1: American intelligence was in a crisis point. He thought the 445 00:27:07,240 --> 00:27:10,720 Speaker 1: nation as a whole was becoming dumber because so many 446 00:27:10,800 --> 00:27:14,879 Speaker 1: people were immigrating from Eastern Europe in particular. So a 447 00:27:14,920 --> 00:27:17,359 Speaker 1: lot of the stuff he created was meant to be 448 00:27:17,400 --> 00:27:21,880 Speaker 1: a response against and an attack on that tendency. Luckily, 449 00:27:23,160 --> 00:27:25,240 Speaker 1: there are a lot of other smart people in the space, 450 00:27:25,920 --> 00:27:29,240 Speaker 1: and even they knew this was kind of screwy uh. 451 00:27:29,320 --> 00:27:33,200 Speaker 1: In ninete, we got to introduce this guy. I thought, 452 00:27:33,240 --> 00:27:36,160 Speaker 1: I almost texted you all. It's the best name we're 453 00:27:36,160 --> 00:27:37,879 Speaker 1: gonna talk about in the show. I don't want to 454 00:27:37,920 --> 00:27:42,040 Speaker 1: hype it up too much. But this Harvard professor named E. G. 455 00:27:42,359 --> 00:27:47,720 Speaker 1: Boring said that Brigham is not collecting data with scientific purposes. 456 00:27:48,720 --> 00:27:52,880 Speaker 1: This just biased his results in favor of his own ideas. 457 00:27:53,080 --> 00:27:56,760 Speaker 1: So he's like ginning up data that makes him sound 458 00:27:56,760 --> 00:28:01,960 Speaker 1: a little less crazy, at least per doctor Boring. Gad's boring. 459 00:28:04,920 --> 00:28:07,359 Speaker 1: Dr B is in the mix. I didn't know people 460 00:28:07,400 --> 00:28:10,399 Speaker 1: are the last name boring. Well, you learned something every 461 00:28:10,560 --> 00:28:16,439 Speaker 1: every time. So he said that. So Carl responds, and 462 00:28:16,480 --> 00:28:20,040 Speaker 1: he says, look, some of these results, true, might be 463 00:28:20,119 --> 00:28:24,440 Speaker 1: affected by the quality or level of education that someone 464 00:28:24,520 --> 00:28:28,159 Speaker 1: received before they took the test. Right, He's saying, I 465 00:28:28,320 --> 00:28:32,080 Speaker 1: grant you that if someone completed tenth grade, they're probably 466 00:28:32,080 --> 00:28:33,920 Speaker 1: going to be doing better on a test than someone 467 00:28:33,920 --> 00:28:39,840 Speaker 1: who completed fourth grade. Right. But after extending that very 468 00:28:40,080 --> 00:28:45,200 Speaker 1: paltry denuded Olive Branch, he doubled down and said, the 469 00:28:45,400 --> 00:28:50,360 Speaker 1: real big difference, though, is genetics. It's just you you 470 00:28:50,560 --> 00:28:53,600 Speaker 1: if you are not born a white American or a 471 00:28:53,640 --> 00:28:57,200 Speaker 1: Nordic race. Then you're just not going to be You're 472 00:28:57,240 --> 00:29:01,880 Speaker 1: not gonna be as good. Uh and end. He soldiered on, 473 00:29:02,760 --> 00:29:05,320 Speaker 1: and he found greater success because he took his whack 474 00:29:05,400 --> 00:29:08,080 Speaker 1: and do ideas and baked them into the s A 475 00:29:08,200 --> 00:29:12,320 Speaker 1: T when he invented that in nineteen six. So this 476 00:29:12,440 --> 00:29:15,520 Speaker 1: is uh, this is a real thing. This is not 477 00:29:15,600 --> 00:29:18,560 Speaker 1: a conspiracy theory. He did this, if you're and he 478 00:29:18,600 --> 00:29:20,960 Speaker 1: didn't do it alone. He had a lot of institutional support, 479 00:29:21,000 --> 00:29:23,719 Speaker 1: and he had a lot of fans, including you know, 480 00:29:24,120 --> 00:29:27,560 Speaker 1: fans in Germany who would later take the idea of 481 00:29:27,640 --> 00:29:31,800 Speaker 1: eugenics and and institutionalize it on a level that the 482 00:29:31,840 --> 00:29:35,360 Speaker 1: modern world had never encountered. If you're familiar with the 483 00:29:35,360 --> 00:29:39,160 Speaker 1: world of education, you probably heard about the controversy surrounding 484 00:29:39,200 --> 00:29:41,920 Speaker 1: modern day testing. Like I I want to defer to 485 00:29:42,000 --> 00:29:46,880 Speaker 1: you guys. Um. I know we'll talk about teaching the 486 00:29:46,920 --> 00:29:49,080 Speaker 1: test in a moment, but I know there's a lot 487 00:29:49,120 --> 00:29:53,760 Speaker 1: of stress on kids, especially as they get into like 488 00:29:53,920 --> 00:29:55,800 Speaker 1: middle school, and they get into high school and they 489 00:29:55,800 --> 00:29:59,240 Speaker 1: started thinking about college and the future of vocational school, 490 00:29:59,240 --> 00:30:02,920 Speaker 1: et cetera. Do do do you guys feel that your own 491 00:30:03,000 --> 00:30:07,280 Speaker 1: children have encountered stress due to testing or did you 492 00:30:07,360 --> 00:30:10,760 Speaker 1: have stressful experiences when you were kiddos? Let me go 493 00:30:10,880 --> 00:30:14,440 Speaker 1: really fastinal, just because my son has two more years 494 00:30:14,520 --> 00:30:18,800 Speaker 1: until he gets a Georgia standardized test, So we're good there, 495 00:30:18,840 --> 00:30:22,280 Speaker 1: at least for now. And weirdly enough, the state of 496 00:30:22,320 --> 00:30:27,440 Speaker 1: Georgia suspended standardized testing for the year, and I believe 497 00:30:28,280 --> 00:30:30,560 Speaker 1: one at least in general, they did. I don't know 498 00:30:30,600 --> 00:30:32,760 Speaker 1: what happened this year. Do you have any insight? Real 499 00:30:33,120 --> 00:30:37,320 Speaker 1: they're back. They're called the milestone tests, UM, at least 500 00:30:37,680 --> 00:30:41,760 Speaker 1: in my kid's age range. She just finished sixth grade. UM. 501 00:30:41,840 --> 00:30:45,320 Speaker 1: But yeah, because of that, you know, waving of all 502 00:30:45,320 --> 00:30:48,800 Speaker 1: those tests during COVID and because my kid already has 503 00:30:48,840 --> 00:30:52,960 Speaker 1: some kind of anxiety stuff probably they was exacerbated by COVID. UM, 504 00:30:53,080 --> 00:30:56,760 Speaker 1: she qualifies to get some extra time for testing because 505 00:30:56,800 --> 00:31:00,000 Speaker 1: she freezes up big time, you know, because of these 506 00:31:00,160 --> 00:31:03,560 Speaker 1: high pressure tests. And actually she was able to we 507 00:31:03,560 --> 00:31:05,400 Speaker 1: were able to get them to waive some of the 508 00:31:05,440 --> 00:31:08,520 Speaker 1: milestone testing for her again this year because of you know, 509 00:31:08,680 --> 00:31:11,040 Speaker 1: stuff that we submitted that that proved that she was 510 00:31:11,160 --> 00:31:14,200 Speaker 1: absolutely you know, struggling with this stuff more so than 511 00:31:14,280 --> 00:31:16,800 Speaker 1: just like, oh, tests suck. I'm scared of taking tests 512 00:31:16,800 --> 00:31:20,560 Speaker 1: like in like a very psychologically crippling kind of way. Well, 513 00:31:20,560 --> 00:31:23,320 Speaker 1: I know, John Oliver did a piece on standardized testing 514 00:31:23,320 --> 00:31:26,800 Speaker 1: in and one of the things that he's of course 515 00:31:26,880 --> 00:31:30,920 Speaker 1: joking about, but it's deadly serious. Is it within the 516 00:31:31,000 --> 00:31:37,200 Speaker 1: materials that anyone who's giving some of these standardized milestone tests? Uh? 517 00:31:37,240 --> 00:31:41,080 Speaker 1: Within those materials are procedures if a child happens to 518 00:31:41,200 --> 00:31:45,000 Speaker 1: vomit while taking the tests, to distress and that stuff like, 519 00:31:46,280 --> 00:31:49,800 Speaker 1: it's crazy you think about that. Yeah, And you know, 520 00:31:50,440 --> 00:31:55,120 Speaker 1: we've talked about some controversy there. I hesitate to use 521 00:31:55,160 --> 00:31:58,640 Speaker 1: this phrase because it's primarily used to manipulate people, but 522 00:31:58,760 --> 00:32:01,480 Speaker 1: in this case, it's true. It a dinner table conversation. 523 00:32:01,920 --> 00:32:05,360 Speaker 1: Testing and how you or your kids doing school is 524 00:32:05,680 --> 00:32:09,800 Speaker 1: a commonplace conversation that many many families have. But back 525 00:32:09,840 --> 00:32:16,360 Speaker 1: in the day, the problems with Carl's weird ideology and 526 00:32:16,440 --> 00:32:20,320 Speaker 1: his supremacism, those problems and how they reflected and the 527 00:32:20,320 --> 00:32:25,800 Speaker 1: test they invented were considered features. Universities loved rolling out 528 00:32:25,880 --> 00:32:29,200 Speaker 1: the s a t uh. And they loved it not 529 00:32:29,240 --> 00:32:33,400 Speaker 1: necessarily because they thought it was a good test defined 530 00:32:33,440 --> 00:32:36,840 Speaker 1: by like objectively good at measuring ability. They thought it 531 00:32:36,920 --> 00:32:40,800 Speaker 1: was a good test because it helped them filter out 532 00:32:41,160 --> 00:32:45,000 Speaker 1: what they called undesirables. As a guy named Eric Jacobson, 533 00:32:45,120 --> 00:32:48,320 Speaker 1: I think we should quote, he broke it down um 534 00:32:48,440 --> 00:32:52,080 Speaker 1: by saying, for some college officials, and aptitude test, which 535 00:32:52,160 --> 00:32:55,880 Speaker 1: is presumed to measure intelligence, is appealing because at this time, 536 00:32:57,160 --> 00:33:00,080 Speaker 1: intelligence and ethnic origin are thought to be connect it 537 00:33:00,240 --> 00:33:02,800 Speaker 1: and therefore the results of such a test could be 538 00:33:02,880 --> 00:33:08,320 Speaker 1: used to limit the admissions of particularly undesirable ethnicities. So 539 00:33:08,360 --> 00:33:10,920 Speaker 1: they knew it was rigged, the boffins at the university 540 00:33:11,000 --> 00:33:13,200 Speaker 1: in the Ivory Towers, and they loved that it was 541 00:33:13,280 --> 00:33:16,880 Speaker 1: rigged because it gave them an excuse, flimsy as it 542 00:33:16,920 --> 00:33:20,240 Speaker 1: may be, to keep their schools as white as possible, 543 00:33:20,720 --> 00:33:24,400 Speaker 1: as wasp as possible. Really, Uh tut tut. That is 544 00:33:24,400 --> 00:33:29,000 Speaker 1: not necessarily critical thinking. But but but we're talking about 545 00:33:29,000 --> 00:33:32,640 Speaker 1: modern debates. So before we talk about how this game 546 00:33:32,640 --> 00:33:36,560 Speaker 1: actually gets rigged, I think we can. I think we 547 00:33:36,560 --> 00:33:38,600 Speaker 1: should go back to the idea of teaching for the test. 548 00:33:38,680 --> 00:33:42,320 Speaker 1: Let's talk about some of those modern problems. Like Matt, 549 00:33:42,360 --> 00:33:45,160 Speaker 1: you you have teachers in your family. I do too, 550 00:33:45,760 --> 00:33:49,520 Speaker 1: Uh nol I believe your mom has taught people, um, 551 00:33:49,640 --> 00:33:54,880 Speaker 1: the finer points of of singing right of opera for sure. Yeah, 552 00:33:54,920 --> 00:33:58,080 Speaker 1: and she's taught in school settings as well, in college 553 00:33:58,120 --> 00:34:01,640 Speaker 1: and high school teaching for the test, at least the 554 00:34:01,680 --> 00:34:04,040 Speaker 1: experience I have with my mom and watching her she 555 00:34:04,120 --> 00:34:06,560 Speaker 1: was an elementary school teacher for a long time, it 556 00:34:06,640 --> 00:34:10,200 Speaker 1: was you're teaching formulas. You're teaching how to do a 557 00:34:10,200 --> 00:34:14,040 Speaker 1: specific task, or to put things together in a certain way, 558 00:34:14,160 --> 00:34:18,160 Speaker 1: or the rules that apply even in language arts or 559 00:34:18,200 --> 00:34:22,120 Speaker 1: things like that. It's not how to think critically or 560 00:34:22,239 --> 00:34:25,280 Speaker 1: creatively you know, of how to come up with an answer, 561 00:34:25,480 --> 00:34:28,960 Speaker 1: or how to you know, think innovatively about a subject. 562 00:34:29,000 --> 00:34:31,000 Speaker 1: It's all about what are the things I need to 563 00:34:31,040 --> 00:34:33,800 Speaker 1: know how to do and then be able to apply 564 00:34:33,920 --> 00:34:39,920 Speaker 1: those two questions asked on a standardized test. It's awful. Yeah, 565 00:34:39,960 --> 00:34:42,239 Speaker 1: it's a real thing. Though. Teaching the test is a 566 00:34:42,280 --> 00:34:46,960 Speaker 1: real thing. And because because of the way that funding 567 00:34:47,000 --> 00:34:52,920 Speaker 1: gets tied into test performances, uh, this this almost becomes 568 00:34:52,920 --> 00:34:58,440 Speaker 1: an existential matter for schools and teachers are just the best. 569 00:34:58,840 --> 00:35:03,160 Speaker 1: You know, A good teacher can make a can set 570 00:35:03,160 --> 00:35:05,879 Speaker 1: the course of someone's life. Right, you have to I'm 571 00:35:05,880 --> 00:35:09,200 Speaker 1: not saying there aren't bad teachers, but um, good teachers 572 00:35:09,320 --> 00:35:13,080 Speaker 1: can change the world. And the idea of teaching this 573 00:35:13,760 --> 00:35:16,960 Speaker 1: like teaching for the test, means that you give kids 574 00:35:17,080 --> 00:35:20,040 Speaker 1: multiple kind of dummy runs at it. You take a 575 00:35:20,080 --> 00:35:22,800 Speaker 1: practice s A T. Right, you take your practice g 576 00:35:23,000 --> 00:35:27,080 Speaker 1: R E. And critics say that the kind of multiple 577 00:35:27,160 --> 00:35:30,720 Speaker 1: choice format of things like the S A T don't 578 00:35:30,719 --> 00:35:35,040 Speaker 1: really teach what Matt is talking about. They encourage route memorization, 579 00:35:35,160 --> 00:35:40,719 Speaker 1: they encourage systematized guessing. I know that four answers in 580 00:35:40,719 --> 00:35:43,680 Speaker 1: a row won't be a so I'm gonna switch one 581 00:35:43,719 --> 00:35:45,359 Speaker 1: of them up. Now I just have to figure out 582 00:35:45,360 --> 00:35:50,000 Speaker 1: which one, and I can eliminate A and C so 583 00:35:50,040 --> 00:35:56,040 Speaker 1: I know the answer is B or D. You know, yeah, 584 00:35:56,080 --> 00:35:58,480 Speaker 1: exactly who wants to be a millionaire? I mean, it 585 00:35:58,520 --> 00:36:02,560 Speaker 1: really is like learning the four Matt. Remember those Scantron cards. 586 00:36:02,680 --> 00:36:04,600 Speaker 1: They used to be bubbles and then they switched to 587 00:36:04,680 --> 00:36:08,800 Speaker 1: little tiny rectangles. Yeah, a little weird. Yeah that was 588 00:36:08,840 --> 00:36:11,160 Speaker 1: a weird one. I want to say, like, I know 589 00:36:11,239 --> 00:36:13,480 Speaker 1: we're starting to get into the deep water here, We're 590 00:36:13,520 --> 00:36:17,880 Speaker 1: already there, but I want to say, um, now, I 591 00:36:17,920 --> 00:36:21,400 Speaker 1: think the reason that I love taking tests and I 592 00:36:21,440 --> 00:36:25,120 Speaker 1: did as a kid is because it's so validating in 593 00:36:25,120 --> 00:36:28,719 Speaker 1: in adult life. People don't give you an ad of 594 00:36:28,800 --> 00:36:32,720 Speaker 1: boy just because you know something. If you're like you're like, well, 595 00:36:32,760 --> 00:36:35,600 Speaker 1: actually the history of Morocco is blah blah blah blah blah, 596 00:36:35,960 --> 00:36:39,359 Speaker 1: they'll say, okay, but why why are you telling me? 597 00:36:39,960 --> 00:36:42,239 Speaker 1: You know? And if you're in a classroom setting, they're like, 598 00:36:42,360 --> 00:36:45,960 Speaker 1: great job, you get a letter with a plus signed 599 00:36:45,960 --> 00:36:51,160 Speaker 1: by a badass. So I think maybe that's just nostalgic 600 00:36:51,200 --> 00:36:54,600 Speaker 1: color in it. But this this idea I love. They 601 00:36:54,640 --> 00:36:57,839 Speaker 1: brought up scantron all because this idea of testing for 602 00:36:57,840 --> 00:37:02,520 Speaker 1: format or learning a format, memerizing things, systematizing your guessing. 603 00:37:03,000 --> 00:37:06,960 Speaker 1: This is not something that occurs justin you in the US, 604 00:37:07,000 --> 00:37:10,800 Speaker 1: and people don't stress out about testing just in the US. 605 00:37:11,440 --> 00:37:14,319 Speaker 1: Other countries across the world have students who are very 606 00:37:14,360 --> 00:37:17,920 Speaker 1: anxious or stressed out about the importance of an exam, 607 00:37:17,960 --> 00:37:20,960 Speaker 1: a single exam, determining, as they see it, their life 608 00:37:21,320 --> 00:37:24,800 Speaker 1: from that point. Hence uh and then there are also 609 00:37:25,280 --> 00:37:29,400 Speaker 1: tremendously stressful situations. The US is, in fact not the 610 00:37:29,440 --> 00:37:34,600 Speaker 1: most extreme example of the dangers of standardized testing. There's 611 00:37:34,640 --> 00:37:38,000 Speaker 1: a um A related case not quite the same thing 612 00:37:38,440 --> 00:37:41,719 Speaker 1: that we have to talk about. Let's go across the Pacific. 613 00:37:42,160 --> 00:37:46,120 Speaker 1: Let's talk about what happens to society with standardized testing 614 00:37:46,239 --> 00:37:50,080 Speaker 1: in Japan. So in the Government of Japan studied forty 615 00:37:50,200 --> 00:37:53,160 Speaker 1: years of data and found that more people under the 616 00:37:53,160 --> 00:37:57,600 Speaker 1: age of eighteen in fact commits suicide on September one, 617 00:37:58,160 --> 00:38:02,840 Speaker 1: more so than any other date. So why September? Why 618 00:38:02,880 --> 00:38:06,120 Speaker 1: the first of September? UM? It is typically around the 619 00:38:06,160 --> 00:38:10,000 Speaker 1: start of a new semester in Japan, UM right after 620 00:38:10,000 --> 00:38:13,000 Speaker 1: the summer holiday. UM. And it wasn't the only time too, 621 00:38:13,800 --> 00:38:17,040 Speaker 1: because there's you know, there's another semester that begins it's 622 00:38:17,040 --> 00:38:21,520 Speaker 1: in early April. And they also noticed that suicide numbers 623 00:38:21,560 --> 00:38:24,560 Speaker 1: for children under eighteen were high at that time as well. 624 00:38:24,920 --> 00:38:29,200 Speaker 1: So it's just it's not good, right. It does show 625 00:38:29,200 --> 00:38:32,279 Speaker 1: you that pressure that we keep describing that I know 626 00:38:32,360 --> 00:38:35,279 Speaker 1: that we've all felt. I certainly felt it. And not 627 00:38:35,320 --> 00:38:37,839 Speaker 1: to nag on Japan, but I mean culturally, you know, 628 00:38:37,960 --> 00:38:42,440 Speaker 1: ritualized suicide due to a family shaming event is is 629 00:38:42,520 --> 00:38:45,880 Speaker 1: literally part of their culture, UM, and there is a 630 00:38:45,960 --> 00:38:49,880 Speaker 1: high emphasis placed on honoring you know, your ancestors and 631 00:38:49,920 --> 00:38:52,320 Speaker 1: your family and not bringing on some sort of shame 632 00:38:52,920 --> 00:38:55,719 Speaker 1: um and in the modern era, that has more to 633 00:38:55,800 --> 00:38:58,560 Speaker 1: do with success and rising through the ranks of the 634 00:38:58,640 --> 00:39:02,719 Speaker 1: educational system than just anything else. Yeah, this is tragic. 635 00:39:02,760 --> 00:39:06,360 Speaker 1: It's ongoing, and in Japan's defense, the government is aware 636 00:39:06,400 --> 00:39:10,160 Speaker 1: of this, and they've made substantive efforts to help prevent 637 00:39:10,280 --> 00:39:13,080 Speaker 1: these tests related deaths, because that's what they are, their 638 00:39:13,160 --> 00:39:17,480 Speaker 1: test related deaths. But there's a lot writing on these exams, 639 00:39:17,560 --> 00:39:21,400 Speaker 1: so parents with the means still, of course, spend loads 640 00:39:21,480 --> 00:39:24,319 Speaker 1: of time and money trying to set their kids up 641 00:39:24,360 --> 00:39:30,640 Speaker 1: for success. Extra courses, mandatory study time, tutors galore. It 642 00:39:30,719 --> 00:39:34,080 Speaker 1: is inarguably true that knowing the format of a test 643 00:39:34,360 --> 00:39:39,000 Speaker 1: and practicing that format will improve your overall scores. This 644 00:39:39,080 --> 00:39:41,640 Speaker 1: is why so many parents in the United States and 645 00:39:41,680 --> 00:39:44,680 Speaker 1: again in other countries have their kids study for tests 646 00:39:44,680 --> 00:39:48,719 Speaker 1: outside of school. It's a great opportunity for families that 647 00:39:48,800 --> 00:39:52,160 Speaker 1: can afford it, But what about the children who can't. 648 00:39:52,640 --> 00:39:54,880 Speaker 1: This is part of how the game gets rigged. We're 649 00:39:54,880 --> 00:39:57,040 Speaker 1: gonna go into the nuts and bolts of it. After 650 00:39:57,040 --> 00:40:07,040 Speaker 1: a word from our sponsor. All right, hey, shout out, 651 00:40:07,160 --> 00:40:10,399 Speaker 1: by the way, fellow conspiracy realist, to everyone who has 652 00:40:10,440 --> 00:40:13,920 Speaker 1: been thinking about their old test scores during this episode. 653 00:40:14,000 --> 00:40:16,400 Speaker 1: We're right there with you. We were talking about it 654 00:40:16,440 --> 00:40:21,359 Speaker 1: before we recorded, right, yeah, yeah, And I mean, you know, uh, 655 00:40:21,560 --> 00:40:23,600 Speaker 1: the the s A T that I remember. I mean, 656 00:40:23,600 --> 00:40:25,960 Speaker 1: I don't. I don't know why I would have changed significantly. 657 00:40:26,040 --> 00:40:30,080 Speaker 1: It's fifty you know, language skills and and in literature 658 00:40:30,080 --> 00:40:33,600 Speaker 1: and things like that and math. I was quite good 659 00:40:33,680 --> 00:40:37,359 Speaker 1: on the the verbal portion and really bad on the 660 00:40:37,400 --> 00:40:39,920 Speaker 1: math portion. But because I was so good on the verbal, 661 00:40:40,120 --> 00:40:43,720 Speaker 1: it was not an embarrassing score. Mine was embarrassing compared 662 00:40:43,760 --> 00:40:45,759 Speaker 1: to you guys, at least. I'm not gonna say what 663 00:40:45,800 --> 00:40:51,120 Speaker 1: it was. But you guys are smart. Well, we uh learned. 664 00:40:51,200 --> 00:40:52,759 Speaker 1: What have we been talking about this whole time? Dude? 665 00:40:52,760 --> 00:41:00,279 Speaker 1: None of this? Okay, Well, we're gonna you know, we're 666 00:41:00,280 --> 00:41:05,360 Speaker 1: gonna go back. We're gonna make our own tests with Blackjack. Uh. 667 00:41:05,520 --> 00:41:07,040 Speaker 1: I'm not going to do the rest of the quote 668 00:41:07,120 --> 00:41:09,759 Speaker 1: shout out to Futurama. But yeah, if you are thinking, 669 00:41:09,800 --> 00:41:12,320 Speaker 1: if you're listening to this episode, you're thinking back about 670 00:41:12,320 --> 00:41:15,480 Speaker 1: your performance, whether you feel like it was really good 671 00:41:15,560 --> 00:41:18,279 Speaker 1: or really bad, we have some news that maybe a 672 00:41:18,360 --> 00:41:21,560 Speaker 1: bit of a comfort to you, especially if you're unhappy 673 00:41:21,600 --> 00:41:23,840 Speaker 1: with your performance on things like the A C T 674 00:41:24,040 --> 00:41:28,120 Speaker 1: or the S A T. The problem is this, it 675 00:41:28,200 --> 00:41:30,600 Speaker 1: may have well have been something with that was wrong 676 00:41:30,640 --> 00:41:33,560 Speaker 1: with the test, not wrong with you, is the test taker. 677 00:41:34,280 --> 00:41:38,360 Speaker 1: True story. S A T scores have been found to 678 00:41:38,640 --> 00:41:45,480 Speaker 1: directly correlate with family income levels, like very closely correlate. 679 00:41:45,880 --> 00:41:48,520 Speaker 1: But you can probably correlate that with the type of 680 00:41:48,520 --> 00:41:50,520 Speaker 1: college that you get into because those are often also 681 00:41:50,560 --> 00:41:54,960 Speaker 1: correlated directly with income levels, I imagine I'm just conjecturing 682 00:41:55,000 --> 00:41:59,200 Speaker 1: here for some time. Yeah, that's been the tendency. Yeah. 683 00:41:59,200 --> 00:42:02,480 Speaker 1: We've got a quote from Kim Ellisessor who's writing for Forbes, 684 00:42:02,920 --> 00:42:07,200 Speaker 1: and she says this quote. A analysis found that students 685 00:42:07,280 --> 00:42:11,440 Speaker 1: with family income less than twenty thousand dollars scored lowest 686 00:42:11,560 --> 00:42:14,759 Speaker 1: on the test, and those with family income above two 687 00:42:14,880 --> 00:42:19,080 Speaker 1: hundred thousand dollars scored highest. And we're not talking about 688 00:42:19,120 --> 00:42:21,960 Speaker 1: just a couple of points. The average reading score for 689 00:42:22,000 --> 00:42:25,600 Speaker 1: those students whose family income was below twenty thousand is 690 00:42:25,719 --> 00:42:29,840 Speaker 1: four hundred and thirty three, So four thirty three, but 691 00:42:29,960 --> 00:42:33,799 Speaker 1: the average for those with income above two thousand is 692 00:42:34,120 --> 00:42:38,680 Speaker 1: five seventy. Clearly, there is a disadvantage and it's so 693 00:42:39,000 --> 00:42:42,360 Speaker 1: glaringly obvious. First Carl would have loved this for a while. 694 00:42:42,480 --> 00:42:45,680 Speaker 1: But what it means in general is that there are 695 00:42:45,760 --> 00:42:50,440 Speaker 1: intervening variables right that have a measurable effect on how 696 00:42:50,640 --> 00:42:54,759 Speaker 1: kids react to these testing regimes. Kids from wealthier backgrounds 697 00:42:54,960 --> 00:42:58,880 Speaker 1: first have more opportunities to prepare for testing and more 698 00:42:58,920 --> 00:43:01,840 Speaker 1: of a support network. And at the same time, not 699 00:43:01,960 --> 00:43:05,759 Speaker 1: only do they have those, um, you know, those expensive 700 00:43:06,160 --> 00:43:08,640 Speaker 1: tutoring classes and things like that, they also have a 701 00:43:08,680 --> 00:43:13,759 Speaker 1: lower likelihood of encountering obstacles that could impede their performance, 702 00:43:14,080 --> 00:43:16,560 Speaker 1: so they wouldn't have to do or They're less likely 703 00:43:16,640 --> 00:43:18,759 Speaker 1: to have to take care of siblings right to be 704 00:43:18,800 --> 00:43:21,799 Speaker 1: the child labor babysitter. They're less likely to have to 705 00:43:21,880 --> 00:43:25,160 Speaker 1: hold down a job while they're in high school. They're 706 00:43:25,239 --> 00:43:28,440 Speaker 1: less likely to have to transport family members to regular 707 00:43:28,560 --> 00:43:31,480 Speaker 1: medical care. The list goes on and on and on, 708 00:43:31,880 --> 00:43:36,200 Speaker 1: because of course education doesn't stop outside of the classroom. 709 00:43:36,440 --> 00:43:40,080 Speaker 1: Both the opportunities for and the obstacles in your way. 710 00:43:40,960 --> 00:43:45,120 Speaker 1: Evidence also, we have to point out, indicates strongly racial 711 00:43:45,160 --> 00:43:48,000 Speaker 1: inequality in the s A T. I think in the 712 00:43:48,080 --> 00:43:50,680 Speaker 1: s A T in particular, that's what I read most 713 00:43:50,680 --> 00:43:52,759 Speaker 1: of the research I read at least UM. I don't 714 00:43:52,800 --> 00:43:54,440 Speaker 1: know what you guys have on the A C T 715 00:43:54,719 --> 00:43:57,279 Speaker 1: or maybe other tests like uh, the L s AT, 716 00:43:57,880 --> 00:44:02,439 Speaker 1: but numerous researchers have gone back and forth about the 717 00:44:02,520 --> 00:44:05,680 Speaker 1: cause of this performance gap. Not everyone agrees, just to 718 00:44:05,680 --> 00:44:08,880 Speaker 1: be very clear with you, but the numbers are there. 719 00:44:08,920 --> 00:44:12,200 Speaker 1: The numbers are themselves in arguable. They've been verified multiple 720 00:44:12,239 --> 00:44:18,720 Speaker 1: times by multiple independent research institutions. So what happens next, Well, 721 00:44:19,600 --> 00:44:23,160 Speaker 1: in at least one state, this has led to lawsuits, 722 00:44:23,520 --> 00:44:25,520 Speaker 1: that's right, the lawsuits that were found on behalf of 723 00:44:25,560 --> 00:44:30,400 Speaker 1: the Compton Unified School District, specifically, in which four students 724 00:44:30,400 --> 00:44:33,840 Speaker 1: in six community organizations in twenty nineteen claimed that the 725 00:44:33,880 --> 00:44:38,000 Speaker 1: University of California was in fact violating state civil rights 726 00:44:38,120 --> 00:44:40,600 Speaker 1: laws by requiring applicants to take the S A T 727 00:44:40,800 --> 00:44:44,200 Speaker 1: or A C t UM and other standardized tests as 728 00:44:44,239 --> 00:44:48,399 Speaker 1: they believed. The argument was that these tests unlawfully discriminated 729 00:44:48,440 --> 00:44:54,120 Speaker 1: against disabled, low income, multi lingual, and underrepresented minority students. 730 00:44:54,680 --> 00:44:56,800 Speaker 1: And regardless of how you may feel about these particular 731 00:44:56,840 --> 00:45:01,719 Speaker 1: tests today, I think we've put enough stuff out there, 732 00:45:01,920 --> 00:45:04,279 Speaker 1: you know that stems from Carl Brigham and how he 733 00:45:04,360 --> 00:45:07,160 Speaker 1: kind of was the base level of these types of tests. 734 00:45:07,200 --> 00:45:10,560 Speaker 1: And then you mentioned that every subsequent test is ultimately 735 00:45:10,600 --> 00:45:15,080 Speaker 1: going to be a victim of its predecessor, and that DNA, 736 00:45:15,920 --> 00:45:20,080 Speaker 1: even if it's diluted, kind of remains as time goes on. 737 00:45:20,560 --> 00:45:26,080 Speaker 1: So lawsuits discrimination, They said, there's something wrong with this test, 738 00:45:26,239 --> 00:45:33,600 Speaker 1: and these these approaches are unfairly hindering the progress of 739 00:45:33,600 --> 00:45:36,759 Speaker 1: of other American children, just like your children, just like 740 00:45:36,840 --> 00:45:41,640 Speaker 1: anybody else. And California appears to have listened. As of 741 00:45:41,760 --> 00:45:46,440 Speaker 1: March of two, UH, the university system in California has 742 00:45:46,560 --> 00:45:49,040 Speaker 1: dropped both the S A T and the A C T. 743 00:45:49,680 --> 00:45:54,400 Speaker 1: This is huge because california It's university system is itself 744 00:45:54,600 --> 00:45:59,319 Speaker 1: the largest university system in the US, so they can 745 00:45:59,360 --> 00:46:01,480 Speaker 1: set press it. We don't know if it's going to 746 00:46:01,560 --> 00:46:03,759 Speaker 1: be just an experiment or if it ends up being 747 00:46:03,760 --> 00:46:07,279 Speaker 1: a harbinger bigger changes on the horizon. But before we 748 00:46:07,320 --> 00:46:11,120 Speaker 1: get to the future, let's return to our pal, Carl B. 749 00:46:12,080 --> 00:46:16,799 Speaker 1: Because he is the originator of this conversation. UH. And 750 00:46:17,320 --> 00:46:21,400 Speaker 1: it turns out that Carl has one last thing to 751 00:46:21,560 --> 00:46:26,320 Speaker 1: add about the entire quagmire we find ourselves in. Yes, 752 00:46:26,480 --> 00:46:29,320 Speaker 1: in nineteen thirty, Carl wrote a little thing, a paper 753 00:46:29,640 --> 00:46:34,719 Speaker 1: titled Intelligence Tests of Immigrant groups, in which he responded 754 00:46:34,840 --> 00:46:38,200 Speaker 1: to the criticism that have inhaled at him with all 755 00:46:38,239 --> 00:46:44,840 Speaker 1: of his writings in the twenties. Uh, and he admitted 756 00:46:44,880 --> 00:46:50,799 Speaker 1: something that those critics were actually correct. What yeah, my 757 00:46:50,920 --> 00:46:56,400 Speaker 1: bad guys. It's like party foul, I know, I know. 758 00:46:57,000 --> 00:47:02,120 Speaker 1: Uh yeah, he did something that I think speaks to 759 00:47:02,719 --> 00:47:08,480 Speaker 1: his lack of scientific acumen. Uh. He never stopped throughout 760 00:47:08,520 --> 00:47:11,400 Speaker 1: all his test making. He never stopped to ask himself 761 00:47:11,719 --> 00:47:17,160 Speaker 1: whether all the people taking the test spoke English New English, 762 00:47:17,600 --> 00:47:21,920 Speaker 1: read it fluently and the results of his test. Further, 763 00:47:22,440 --> 00:47:24,360 Speaker 1: so that's a big thing to miss. But further, the 764 00:47:24,400 --> 00:47:28,040 Speaker 1: results of his test apparently had no correlation with real 765 00:47:28,040 --> 00:47:31,680 Speaker 1: world achievements or social success. The best way to put it, 766 00:47:32,160 --> 00:47:34,879 Speaker 1: or put it crassly, is that people he thought were 767 00:47:34,960 --> 00:47:39,080 Speaker 1: dumb sometimes did absolutely gangbusters, and people he thought were 768 00:47:39,080 --> 00:47:42,480 Speaker 1: brilliant or whatever his idea of Nordic was could also 769 00:47:42,680 --> 00:47:46,000 Speaker 1: just as easily end up being absolute knuckleheads. The test 770 00:47:46,120 --> 00:47:50,279 Speaker 1: was not able to correlate to real world success, or 771 00:47:50,440 --> 00:47:53,919 Speaker 1: indeed to real world acts of intelligence you could call them. 772 00:47:54,600 --> 00:47:57,240 Speaker 1: So the test is in a very real way broken. 773 00:47:57,320 --> 00:48:01,280 Speaker 1: And of course, yes, we know that intelligent and worldly 774 00:48:01,440 --> 00:48:05,839 Speaker 1: success are not synonymous. Some of the people in your 775 00:48:05,880 --> 00:48:08,440 Speaker 1: life that you know, uh and think of as the 776 00:48:08,480 --> 00:48:11,239 Speaker 1: most intelligent people that you've ever met, they may not 777 00:48:11,320 --> 00:48:16,919 Speaker 1: be successful by society's metrics. They're just two very different things. Anyhow. Yeah, 778 00:48:17,040 --> 00:48:19,600 Speaker 1: so he's wrong. This led him to finally acknowledge that 779 00:48:19,680 --> 00:48:23,799 Speaker 1: his results were without foundation. That's a quote from him, 780 00:48:24,280 --> 00:48:27,920 Speaker 1: and that his whole concept of racial differences was therefore 781 00:48:28,000 --> 00:48:31,840 Speaker 1: basically bunk. And good on you, Carl, because that was 782 00:48:31,880 --> 00:48:34,680 Speaker 1: your life's work. You worked really hard on it, and 783 00:48:34,719 --> 00:48:37,840 Speaker 1: you realized it was wrong, and you had the strength 784 00:48:37,840 --> 00:48:40,360 Speaker 1: of character at least to come clean about it. But 785 00:48:40,480 --> 00:48:44,280 Speaker 1: the damage was done. He had already poured high octane 786 00:48:44,320 --> 00:48:48,640 Speaker 1: gas on the idea of eugenics, on the anti immigration movement, 787 00:48:49,120 --> 00:48:53,719 Speaker 1: and those folks active in those movements, they already heard 788 00:48:53,760 --> 00:48:56,080 Speaker 1: the part that makes them feel good and right, and 789 00:48:56,239 --> 00:48:59,080 Speaker 1: just so, they didn't really pay attention to the retraction. 790 00:48:59,440 --> 00:49:01,320 Speaker 1: You know what I mean, we don't need that part. 791 00:49:02,000 --> 00:49:04,719 Speaker 1: It's usually how retractions go. It start to put that 792 00:49:04,800 --> 00:49:07,080 Speaker 1: genie back in the bottle. I mean, you know, whenever, 793 00:49:07,200 --> 00:49:11,080 Speaker 1: like a big blockbuster headline makes the rounds and then oops, 794 00:49:11,200 --> 00:49:13,560 Speaker 1: we made a mistake and they print some little retraction. 795 00:49:13,920 --> 00:49:16,680 Speaker 1: People just remember the headline. Yeah, but so does that 796 00:49:16,760 --> 00:49:19,319 Speaker 1: mean the nineteen thirty one s a T came out 797 00:49:19,440 --> 00:49:23,759 Speaker 1: with a subtitle now less racist? What happened? Like because 798 00:49:23,800 --> 00:49:25,799 Speaker 1: we all still took it. I still took the s 799 00:49:25,840 --> 00:49:28,000 Speaker 1: A T. I know we all did. Like, why did 800 00:49:28,080 --> 00:49:31,000 Speaker 1: we still take it? If that happened? In Well, I 801 00:49:31,000 --> 00:49:34,719 Speaker 1: mean surely that surely the test is adjusted every year 802 00:49:34,800 --> 00:49:38,120 Speaker 1: based on something, right, I mean I can't imagine. Of 803 00:49:38,160 --> 00:49:40,400 Speaker 1: course it's not the same test that it was in 804 00:49:40,480 --> 00:49:43,719 Speaker 1: in the thirties, But like what rubric is going into 805 00:49:43,800 --> 00:49:47,400 Speaker 1: those and are they in any way changing it to 806 00:49:47,520 --> 00:49:51,640 Speaker 1: be more inclusive? We don't really have any way of 807 00:49:51,640 --> 00:49:54,080 Speaker 1: of knowing them. Oh, because you're not allowed to see 808 00:49:54,600 --> 00:49:57,600 Speaker 1: the actual questions on the s a T. You can 809 00:49:57,640 --> 00:50:03,120 Speaker 1: see questions ample questions, but it's not untill you're working live. Yeah, 810 00:50:03,160 --> 00:50:05,520 Speaker 1: I mean, I don't think a lot of the questions 811 00:50:05,560 --> 00:50:09,120 Speaker 1: now are blatantly discriminatory, Like you're not going to see 812 00:50:09,520 --> 00:50:13,520 Speaker 1: some math problem that says two filthy left handers are 813 00:50:13,520 --> 00:50:19,160 Speaker 1: out stealing children again, and one has seven children, the 814 00:50:19,200 --> 00:50:22,360 Speaker 1: other has forty two divided by seven. How many children 815 00:50:22,360 --> 00:50:25,839 Speaker 1: have been stolen this night? Um, those are the ones 816 00:50:25,840 --> 00:50:27,880 Speaker 1: that have been left behind that we have to go find. 817 00:50:28,400 --> 00:50:33,400 Speaker 1: No child left behind unless the left handed. Uh so 818 00:50:34,360 --> 00:50:38,960 Speaker 1: the sorry, we made up that problem that we're problem 819 00:50:39,040 --> 00:50:45,160 Speaker 1: left handed. I was definitely left behind. But here I am. 820 00:50:43,480 --> 00:50:47,319 Speaker 1: I was. I was unt handed till I wasn't on 821 00:50:47,400 --> 00:50:50,560 Speaker 1: a flex B it's not a flex My hand is 822 00:50:50,640 --> 00:50:54,200 Speaker 1: terrible with both hands, but uh, it was. It was 823 00:50:54,880 --> 00:50:57,399 Speaker 1: beat out of me in school when it was bad 824 00:50:57,440 --> 00:51:01,040 Speaker 1: to be left handed by the schoolmaster with this, with 825 00:51:01,080 --> 00:51:05,080 Speaker 1: this ruler, wrap your knuckles and you wrote with the 826 00:51:05,120 --> 00:51:08,799 Speaker 1: wrong hand. A little close to that. Yeah, but I 827 00:51:08,800 --> 00:51:11,080 Speaker 1: mean that's something that's happened to people in you know, 828 00:51:11,640 --> 00:51:16,000 Speaker 1: preschool and kindergarten and stuff back in the day. But 829 00:51:16,040 --> 00:51:18,960 Speaker 1: the question now becomes this, we know there's a problem. 830 00:51:19,080 --> 00:51:23,360 Speaker 1: There's all sorts of evidence indicating that these tests, however 831 00:51:23,400 --> 00:51:27,480 Speaker 1: well intentioned, have some fundamental flaws. So why hasn't there 832 00:51:27,480 --> 00:51:30,040 Speaker 1: been more changed? That's the question. Well, a big part 833 00:51:30,120 --> 00:51:32,799 Speaker 1: of it, unfortunately goes down to money. That's right, Like 834 00:51:32,840 --> 00:51:36,960 Speaker 1: almost everything else in the United States, standardized testing is 835 00:51:37,000 --> 00:51:40,680 Speaker 1: an industry, and uh, it's a pretty big when one 836 00:51:40,719 --> 00:51:43,359 Speaker 1: of the statue here get thrown around is that one 837 00:51:43,440 --> 00:51:47,360 Speaker 1: point seven billion dollars are spent in the US on 838 00:51:47,480 --> 00:51:51,759 Speaker 1: standardized testing every year. Uh. The originator of that of 839 00:51:51,800 --> 00:51:54,360 Speaker 1: that number, by the way, doesn't like it to be 840 00:51:54,440 --> 00:51:56,759 Speaker 1: thrown around casually. So you need to know that there 841 00:51:56,760 --> 00:51:59,279 Speaker 1: are a lot of different ways to come up with 842 00:51:59,440 --> 00:52:01,680 Speaker 1: that fin old figure. You know, are you going to 843 00:52:01,880 --> 00:52:05,239 Speaker 1: count are you going to count the time of the teachers, 844 00:52:05,960 --> 00:52:09,640 Speaker 1: the you know, instructing on the format of the test. 845 00:52:09,680 --> 00:52:12,040 Speaker 1: Are you're going to count the extracurricular activities? What do 846 00:52:12,040 --> 00:52:14,320 Speaker 1: you count as an expense that goes into that figure? 847 00:52:14,360 --> 00:52:15,959 Speaker 1: So just so you know, we know that's a little 848 00:52:15,960 --> 00:52:20,799 Speaker 1: bit loose. UM. But then if you see problems of 849 00:52:20,840 --> 00:52:25,319 Speaker 1: this magnitude and you wonder why stuff isn't changing as 850 00:52:25,360 --> 00:52:28,200 Speaker 1: we say all the time, start following the money, you 851 00:52:28,239 --> 00:52:30,680 Speaker 1: know what I mean, as as far as you can 852 00:52:31,120 --> 00:52:34,480 Speaker 1: see where the financial interests lie. I just googled is 853 00:52:34,520 --> 00:52:37,840 Speaker 1: Scantron a publicly traded company? UM. I didn't get a 854 00:52:37,960 --> 00:52:41,640 Speaker 1: very clear answer, but it was founded in Egan, Minnesota 855 00:52:41,800 --> 00:52:46,520 Speaker 1: in nineteen seventy two UM and they operate in cent 856 00:52:46,719 --> 00:52:49,480 Speaker 1: of the U s school districts, fifty six countries, forty 857 00:52:49,520 --> 00:52:52,520 Speaker 1: eight ministries of education, and ninety four of the top 858 00:52:52,560 --> 00:52:56,440 Speaker 1: one U S universities. So there's definitely money to be 859 00:52:56,520 --> 00:52:59,280 Speaker 1: made um whether or not their public. I don't believe 860 00:52:59,320 --> 00:53:01,440 Speaker 1: that's the case. They owned by something called Trance, some 861 00:53:01,560 --> 00:53:05,279 Speaker 1: capital group which I bet is public. So there you go. Yeah, 862 00:53:05,280 --> 00:53:09,360 Speaker 1: and then this doesn't even touch Pearson right, uh, which 863 00:53:09,440 --> 00:53:13,040 Speaker 1: will be familiar to anybody in the academy or anybody 864 00:53:13,120 --> 00:53:16,239 Speaker 1: has had to h pay out the nose for a 865 00:53:16,320 --> 00:53:20,240 Speaker 1: textbook because one appendix is different from last year's uh, 866 00:53:20,320 --> 00:53:26,760 Speaker 1: last year's edition. Thank you. And and to be clear, 867 00:53:27,200 --> 00:53:29,440 Speaker 1: we're dunking a little. But to be clear, the concept 868 00:53:29,480 --> 00:53:34,000 Speaker 1: of standardized testing alone is not inherently sinister, and you 869 00:53:34,200 --> 00:53:36,640 Speaker 1: need something like it. It has a lot of value, 870 00:53:37,000 --> 00:53:39,080 Speaker 1: and it has a lot of supporters. The system is 871 00:53:39,120 --> 00:53:40,960 Speaker 1: it stands now, and not all of them have a 872 00:53:41,040 --> 00:53:44,160 Speaker 1: financial horse in the race, because they understand that when 873 00:53:44,239 --> 00:53:48,839 Speaker 1: the system works, it becomes this huge meritocratic opportunity. You're 874 00:53:48,840 --> 00:53:52,279 Speaker 1: a kid from a disadvantaged background, Now you can succeed 875 00:53:52,600 --> 00:53:56,240 Speaker 1: based on your abilities instead of like that rotting web 876 00:53:56,280 --> 00:54:00,239 Speaker 1: of nepotism that determines so much success quote unquote in 877 00:54:00,280 --> 00:54:03,200 Speaker 1: this country. No one's arguing about that, but we're saying 878 00:54:03,239 --> 00:54:05,839 Speaker 1: the case of the specific test is clear. They were 879 00:54:05,880 --> 00:54:09,520 Speaker 1: designed by a guy who only wanted a certain type 880 00:54:09,560 --> 00:54:13,480 Speaker 1: of person, people who looked like him, to succeed. He 881 00:54:13,560 --> 00:54:17,400 Speaker 1: was also very upset about the idea of mis engineation, 882 00:54:17,760 --> 00:54:22,840 Speaker 1: which is the fancy word for interracial relationships. He was 883 00:54:22,920 --> 00:54:25,920 Speaker 1: super terrified of that, just like Anslinger, the guy who 884 00:54:25,960 --> 00:54:29,240 Speaker 1: made a cannabis illegal. He hated fun and he hated 885 00:54:29,239 --> 00:54:32,799 Speaker 1: the idea of anything that was not really really white 886 00:54:32,840 --> 00:54:38,440 Speaker 1: folks in charge. And these these tests. Of course, people 887 00:54:38,440 --> 00:54:41,759 Speaker 1: don't agree with this guy. Nowadays they're not You're not 888 00:54:41,840 --> 00:54:45,239 Speaker 1: ever gonna see somebody an educator say, I like how 889 00:54:45,320 --> 00:54:49,920 Speaker 1: these tests discriminate against people. Um, but we know that 890 00:54:49,960 --> 00:54:54,040 Speaker 1: these specific tests need to be fixed. There are problems 891 00:54:54,239 --> 00:54:57,879 Speaker 1: with them, and they are rooted in some very deep 892 00:54:57,920 --> 00:55:02,160 Speaker 1: demons of American society. That's why society needs to find 893 00:55:02,160 --> 00:55:05,400 Speaker 1: a better way not to make children memorize facts, but 894 00:55:05,480 --> 00:55:08,640 Speaker 1: to encourage their independent thought and their curiosity, and to 895 00:55:08,719 --> 00:55:12,239 Speaker 1: empower them for success in the future, to open not 896 00:55:12,440 --> 00:55:18,520 Speaker 1: closed doors ahead. I yield my time. Sorry, sorry, I 897 00:55:18,640 --> 00:55:23,719 Speaker 1: was ranting. No, Ben, thank you for being upon that soapbox, 898 00:55:23,760 --> 00:55:26,480 Speaker 1: because I think many of us listening agree with you, sir. 899 00:55:27,640 --> 00:55:30,080 Speaker 1: I want to shout out a few people who definitely 900 00:55:30,080 --> 00:55:34,720 Speaker 1: do who have given ted X talks in the past 901 00:55:34,760 --> 00:55:38,840 Speaker 1: several years. One is from Nikki Adelhi I think is 902 00:55:38,840 --> 00:55:40,560 Speaker 1: how you say it. I can't remember, has been a 903 00:55:40,560 --> 00:55:44,000 Speaker 1: while since I watched it. It's titled what standardized tests 904 00:55:44,160 --> 00:55:47,880 Speaker 1: don't measure? Uh? It is worth your times from and 905 00:55:47,880 --> 00:55:52,200 Speaker 1: another one titled Prepare Our Kids for Life Not Standardized 906 00:55:52,280 --> 00:55:57,040 Speaker 1: Tests by Ted dinter Smith. That's from both. Both of 907 00:55:57,040 --> 00:56:00,680 Speaker 1: them are ted X talks, right. They're locally put together 908 00:56:00,760 --> 00:56:03,799 Speaker 1: events for the TED group. They're not the official like 909 00:56:04,160 --> 00:56:08,240 Speaker 1: TED talk, if that makes sense, not the official gathering. 910 00:56:08,520 --> 00:56:11,280 Speaker 1: But they're both great speakers and they have great messages 911 00:56:11,480 --> 00:56:14,040 Speaker 1: that are very similar to yours. Ben. Hey, I think 912 00:56:14,080 --> 00:56:18,080 Speaker 1: that's our collective message though you know we're big fashion teachers. Yeah, 913 00:56:18,480 --> 00:56:20,680 Speaker 1: and that's why that's why one thing we can end 914 00:56:20,760 --> 00:56:23,080 Speaker 1: on here, even though there are lots of problems with 915 00:56:23,120 --> 00:56:27,200 Speaker 1: the education system in every country. To be fair, we 916 00:56:27,239 --> 00:56:31,239 Speaker 1: want to give a heartfelt thanks to all the teachers, professors, 917 00:56:31,480 --> 00:56:35,200 Speaker 1: educators in the audience. This is personal does because we 918 00:56:35,239 --> 00:56:37,920 Speaker 1: all have we all have educators in our family. But 919 00:56:38,640 --> 00:56:41,040 Speaker 1: right now, if you want to have an action you 920 00:56:41,080 --> 00:56:44,000 Speaker 1: can do after hearing this, one of the easiest and 921 00:56:44,040 --> 00:56:46,560 Speaker 1: most important things you can do is think back on 922 00:56:46,560 --> 00:56:50,160 Speaker 1: one of your favorite teachers from the past, and I 923 00:56:50,360 --> 00:56:53,719 Speaker 1: highly encourage you, you remember their name, to reach out 924 00:56:53,760 --> 00:56:55,719 Speaker 1: to them. It's easier now than it ever was at 925 00:56:55,760 --> 00:56:58,200 Speaker 1: any point in history. Just reach out to them, drop 926 00:56:58,239 --> 00:57:01,120 Speaker 1: a note and thank them directly you can. It will 927 00:57:01,400 --> 00:57:04,080 Speaker 1: make their day because God knows they're not in it 928 00:57:04,120 --> 00:57:06,759 Speaker 1: for the money. I'll just add my kid just got 929 00:57:06,760 --> 00:57:09,640 Speaker 1: an A plus in math, and she admittedly hates math, 930 00:57:10,120 --> 00:57:13,160 Speaker 1: but said that it was the teacher that that was 931 00:57:13,239 --> 00:57:15,960 Speaker 1: like her favorite teacher, and that just I think that 932 00:57:16,000 --> 00:57:18,440 Speaker 1: says it all. You know, she is not a fan 933 00:57:18,480 --> 00:57:20,560 Speaker 1: of math, does not think she has an acumen for 934 00:57:20,720 --> 00:57:22,640 Speaker 1: and yet she did better in that class than she 935 00:57:22,640 --> 00:57:24,919 Speaker 1: did just but any other class, uh, some of which 936 00:57:25,120 --> 00:57:27,840 Speaker 1: the subjects she loves, even if she doesn't think. She 937 00:57:27,880 --> 00:57:31,680 Speaker 1: likes language arts, she likes to read, she enjoys culture. 938 00:57:32,000 --> 00:57:34,760 Speaker 1: She does enjoy language arts, but felt that her language 939 00:57:34,840 --> 00:57:37,680 Speaker 1: arts teacher was a little less effective, less just say, 940 00:57:37,680 --> 00:57:40,280 Speaker 1: than her math teacher. Therefore she did not get nearly 941 00:57:40,320 --> 00:57:44,200 Speaker 1: as much out of it, and so with that we pass. 942 00:57:44,520 --> 00:57:48,400 Speaker 1: We passed the scantron to you, folks. What do you think, uh, 943 00:57:49,040 --> 00:57:53,160 Speaker 1: is standardized testing overall? Is it just fine and hunky dory? 944 00:57:53,960 --> 00:57:56,400 Speaker 1: Or are there clear steps that could help address the 945 00:57:56,440 --> 00:58:01,160 Speaker 1: shadow of conspiracy haunting this origin story? Uh? What kind 946 00:58:01,200 --> 00:58:04,480 Speaker 1: of sage is there to burn? Right? Clearly, testing in 947 00:58:04,600 --> 00:58:07,800 Speaker 1: some form has to exist, But what if anything do 948 00:58:07,840 --> 00:58:11,560 Speaker 1: you think could improve or replace the current system. We 949 00:58:11,640 --> 00:58:13,720 Speaker 1: can't wait to hear from you. There will not be 950 00:58:13,760 --> 00:58:17,120 Speaker 1: a quiz when you contact us. Just we're not those 951 00:58:17,160 --> 00:58:21,040 Speaker 1: sorts of dudes. But we are easy to find online, 952 00:58:21,360 --> 00:58:24,600 Speaker 1: maybe like a fun Instagram survey or a quiz, but 953 00:58:24,680 --> 00:58:26,920 Speaker 1: that's just more like, you know, for fun. We will 954 00:58:26,960 --> 00:58:29,120 Speaker 1: not hold any of those results against you, and we 955 00:58:29,320 --> 00:58:31,040 Speaker 1: we don't store them. I don't know what Instagram does 956 00:58:31,080 --> 00:58:33,280 Speaker 1: with that stuff. That's a good question. Uh. That destorbs 957 00:58:33,280 --> 00:58:36,000 Speaker 1: its own episode. Um, what happens to all those quiz 958 00:58:36,040 --> 00:58:40,800 Speaker 1: results that are in fact telling the Instagram about people's tastes? Um, 959 00:58:40,840 --> 00:58:42,720 Speaker 1: Maybe we'll get to that one day. But you can 960 00:58:42,720 --> 00:58:45,680 Speaker 1: find us on Instagram. Um, we are at conspiracy stuff 961 00:58:45,720 --> 00:58:47,840 Speaker 1: show on that one. All the other ones were at 962 00:58:47,880 --> 00:58:53,000 Speaker 1: conspiracy Stuff That includes Facebook, um, Twitter and YouTube of course. Yes, 963 00:58:53,560 --> 00:58:55,360 Speaker 1: and if you like to use your mouth to talk 964 00:58:55,440 --> 00:58:58,280 Speaker 1: at us, at least in our general direction, you can 965 00:58:58,360 --> 00:59:01,680 Speaker 1: call one eight three three s T d W y 966 00:59:01,760 --> 00:59:04,680 Speaker 1: t K. When you call in, give yourself a nickname, 967 00:59:04,720 --> 00:59:06,919 Speaker 1: doesn't matter what it is. It could be anything. We're 968 00:59:06,920 --> 00:59:10,360 Speaker 1: excited to hear what you choose. You've got three minutes 969 00:59:10,400 --> 00:59:12,680 Speaker 1: to leave a message. At some point in there. Let 970 00:59:12,800 --> 00:59:14,960 Speaker 1: us know if we can use your name and voice 971 00:59:15,040 --> 00:59:19,040 Speaker 1: on the air. If not, that's fine. If yes, who 972 00:59:19,840 --> 00:59:22,240 Speaker 1: and we'll be hearing from you in an episode hopefully, 973 00:59:22,760 --> 00:59:24,760 Speaker 1: or you'll be hearing from one of us calling you back. 974 00:59:25,200 --> 00:59:28,000 Speaker 1: Who knows uh. If you don't want to do that, 975 00:59:28,080 --> 00:59:29,720 Speaker 1: or you've got more to share they can fit in 976 00:59:29,720 --> 00:59:31,840 Speaker 1: that three minutes. Why not instead send us a good 977 00:59:31,880 --> 00:59:35,720 Speaker 1: old fashioned email. We read everything where you receive at 978 00:59:36,400 --> 00:59:58,960 Speaker 1: conspiracy at iHeart radio dot com. Stuff they Don't want 979 00:59:58,960 --> 01:00:01,360 Speaker 1: you to Know is a product auction of I heart Radio. 980 01:00:01,640 --> 01:00:03,920 Speaker 1: For more podcasts from my heart Radio, visit the i 981 01:00:04,000 --> 01:00:06,920 Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to 982 01:00:06,920 --> 01:00:07,760 Speaker 1: your favorite shows.