1
00:00:00,240 --> 00:00:02,880
Speaker 1: Brought to you by the reinvented two thousand twelve Camray.

2
00:00:03,120 --> 00:00:07,480
Speaker 1: It's ready. Are you welcome to stuff you should know

3
00:00:08,080 --> 00:00:16,599
Speaker 1: from House Stuff Works dot com. Ahoy, and welcome to

4
00:00:16,640 --> 00:00:19,799
Speaker 1: the love boat. I'm Julie, your cruise director, with me

5
00:00:19,840 --> 00:00:22,919
Speaker 1: as always as Isaac, your bartender. How are you doing?

6
00:00:23,360 --> 00:00:25,880
Speaker 1: I just did the little double gun the double guns

7
00:00:26,600 --> 00:00:29,320
Speaker 1: looking good. You're a genius. Thank you for coming up

8
00:00:29,320 --> 00:00:32,400
Speaker 1: with that. Thank you. You're a genius to chuck, thank you.

9
00:00:32,640 --> 00:00:34,839
Speaker 1: Do you want to know how we can callague to

10
00:00:35,159 --> 00:00:39,640
Speaker 1: each other geniuses without cracking up? I'm cracking up on

11
00:00:39,680 --> 00:00:42,920
Speaker 1: the inside, but sure, because we have no idea what

12
00:00:43,080 --> 00:00:46,520
Speaker 1: constitutes a genius, do we? Right? We like to throw

13
00:00:46,560 --> 00:00:49,320
Speaker 1: the word around, as you were pointing out earlier. Oh,

14
00:00:49,360 --> 00:00:52,560
Speaker 1: he's a genius, or he's a socialist, story's a fascist,

15
00:00:52,880 --> 00:00:55,720
Speaker 1: he's a genius. You should see the bathroom he designed.

16
00:00:55,720 --> 00:00:59,520
Speaker 1: He's genius. You know. Yeah, it definitely is a word

17
00:00:59,520 --> 00:01:03,040
Speaker 1: that gets to run a lot. But the way that

18
00:01:03,080 --> 00:01:07,039
Speaker 1: we use the word genius now, actually uh is kind

19
00:01:07,040 --> 00:01:11,000
Speaker 1: of a throwback to its original meaning in the Greco

20
00:01:11,120 --> 00:01:15,040
Speaker 1: Roman era, the word genius when everyone was wrestling. Yeah,

21
00:01:15,640 --> 00:01:18,640
Speaker 1: like you could be a genius at wrestling. Really? What

22
00:01:18,680 --> 00:01:22,920
Speaker 1: it what it? What it described was somebody's um natural

23
00:01:23,360 --> 00:01:30,040
Speaker 1: enthusiasm inclination towards certain activities, not just your your abilities,

24
00:01:30,120 --> 00:01:32,560
Speaker 1: but you know how revved up you were, so so

25
00:01:32,680 --> 00:01:36,800
Speaker 1: somebody who was pretty good at bathroom design would have

26
00:01:36,840 --> 00:01:41,080
Speaker 1: been considered a genius at bathroom designs. Like the word vintage,

27
00:01:41,600 --> 00:01:44,560
Speaker 1: people always thinks vintage just means old, But I think

28
00:01:44,680 --> 00:01:48,880
Speaker 1: vintage specifically means like characterized by that person's best work,

29
00:01:49,080 --> 00:01:52,720
Speaker 1: like a tailor, their best five pairs of pants they made.

30
00:01:53,600 --> 00:01:55,800
Speaker 1: I think so I might just learned that just now

31
00:01:56,040 --> 00:01:57,800
Speaker 1: I might be wrong thanks to you. Are we picking

32
00:01:57,880 --> 00:02:01,360
Speaker 1: up Jerry's laugh? Because we're in a yeah, two ft

33
00:02:01,400 --> 00:02:05,080
Speaker 1: by two ft space right now? This room is not genius. No,

34
00:02:05,320 --> 00:02:09,080
Speaker 1: it stinks of volatile organic compounds. We should say what.

35
00:02:09,160 --> 00:02:11,920
Speaker 1: They actually moved us for one day into an even

36
00:02:11,960 --> 00:02:15,640
Speaker 1: smaller office like the sign Felds. Remember when Castanza they

37
00:02:15,720 --> 00:02:18,000
Speaker 1: kept moving him around because they didn't like him, and

38
00:02:18,000 --> 00:02:19,720
Speaker 1: he were eventually going to end up in a storage

39
00:02:19,720 --> 00:02:22,320
Speaker 1: closet like he did. Yeah, I think we've arrived there.

40
00:02:23,400 --> 00:02:26,960
Speaker 1: I'm sure it's lovely. It's just not for podcasting. Well,

41
00:02:26,960 --> 00:02:30,560
Speaker 1: I'm a little lightheaded. So if this, if this goes oddly,

42
00:02:30,720 --> 00:02:34,560
Speaker 1: that's why it's the paints and the airplane glue. That's

43
00:02:34,639 --> 00:02:37,920
Speaker 1: airplane glue. Is genius, it is. Yeah, we were talking

44
00:02:37,919 --> 00:02:40,360
Speaker 1: about genius for some reason. Where are we? Yeah? Because

45
00:02:40,400 --> 00:02:44,000
Speaker 1: this is about genius. Okay, Oh so yeah, I was

46
00:02:44,040 --> 00:02:49,520
Speaker 1: saying the original idea of genius was enthusiasm, throwing yourself

47
00:02:49,520 --> 00:02:54,360
Speaker 1: into something where you were into right. Um. And then

48
00:02:55,000 --> 00:02:58,880
Speaker 1: thanks to a guy named Francis Galton, who he was

49
00:02:58,919 --> 00:03:00,880
Speaker 1: a pretty smart guy himself, but he had a long

50
00:03:00,960 --> 00:03:04,480
Speaker 1: history of just kind of missing the big picture with

51
00:03:04,560 --> 00:03:08,560
Speaker 1: his ideas, he came up with eugenics. Sure, he was

52
00:03:08,600 --> 00:03:12,880
Speaker 1: the first one to start attributing um genius to intellect.

53
00:03:12,919 --> 00:03:16,079
Speaker 1: He kind of narrowed it a little more, and eventually

54
00:03:16,120 --> 00:03:22,480
Speaker 1: this led to our idea of genius being quantifiable e g.

55
00:03:23,160 --> 00:03:31,040
Speaker 1: Through i Q tests or g which we'll get to. Nice. Nice, Yeah, Yeah,

56
00:03:31,080 --> 00:03:32,720
Speaker 1: I don't. I'll just go ahead and say I don't

57
00:03:32,720 --> 00:03:35,200
Speaker 1: know how quantifiable it is. Well, it's not. And there's

58
00:03:35,200 --> 00:03:40,560
Speaker 1: actually two pretty big reasons why quantifying genius is virtually

59
00:03:40,600 --> 00:03:43,400
Speaker 1: impossible at least with our current understanding of the mind.

60
00:03:43,440 --> 00:03:46,920
Speaker 1: And they are they are uh Well, the first one

61
00:03:46,960 --> 00:03:50,440
Speaker 1: is pretty obvious. Genius is a very subjective thing. Um.

62
00:03:50,480 --> 00:03:53,760
Speaker 1: Some people think it's like an i Q higher than

63
00:03:54,320 --> 00:03:57,840
Speaker 1: one forty or one seventy five I've heard, which you know,

64
00:03:58,040 --> 00:04:06,120
Speaker 1: that's just a smart quantifying, quantify quantifier And I'm clearly

65
00:04:06,120 --> 00:04:08,920
Speaker 1: no genius. And the other thing is, like you said,

66
00:04:08,960 --> 00:04:11,280
Speaker 1: it's a it's a big picture thing. In science and

67
00:04:11,480 --> 00:04:14,280
Speaker 1: medical inquiries, that kind of thing is all about the detail.

68
00:04:14,760 --> 00:04:17,080
Speaker 1: So it's really hard to like analyze and study. It's

69
00:04:17,080 --> 00:04:21,120
Speaker 1: like studying intercessory prayer. How do you study that? How

70
00:04:21,120 --> 00:04:27,039
Speaker 1: do you quantify happiness or prayer or genius? You know? Um,

71
00:04:27,200 --> 00:04:31,480
Speaker 1: our colleague Tracy V. Wilson, I like how she put it. Yeah,

72
00:04:31,520 --> 00:04:33,640
Speaker 1: she did a good job just kind of getting rid

73
00:04:33,680 --> 00:04:37,000
Speaker 1: of the crud that's often associated with genius. And and

74
00:04:37,160 --> 00:04:39,560
Speaker 1: just if you have like crazy hair and a big

75
00:04:39,640 --> 00:04:41,960
Speaker 1: mustache and you know math, you're a genius, do you

76
00:04:42,080 --> 00:04:44,560
Speaker 1: get rid of all that? And uh, for the for

77
00:04:44,600 --> 00:04:48,600
Speaker 1: the purposes of this podcast, will adopt her description, right,

78
00:04:49,400 --> 00:04:54,280
Speaker 1: which was that a genius is an extraordinarily intelligent person

79
00:04:54,560 --> 00:04:58,840
Speaker 1: who breaks new ground with discoveries, inventions, or works of art. Right,

80
00:04:59,200 --> 00:05:01,760
Speaker 1: Because you can't just be a really smart person, you

81
00:05:01,800 --> 00:05:04,960
Speaker 1: have to do something with it to truly be a genius.

82
00:05:05,000 --> 00:05:08,000
Speaker 1: That's what makes a genius. It's not just intelligence, it's

83
00:05:08,040 --> 00:05:11,520
Speaker 1: intelligence with creative energy. Well, the creative part is huge,

84
00:05:11,520 --> 00:05:13,800
Speaker 1: and we'll get to that, but it's um She goes

85
00:05:13,839 --> 00:05:16,560
Speaker 1: on to say, and I agree that they usually will

86
00:05:16,680 --> 00:05:18,520
Speaker 1: change the way we look at the world, or at

87
00:05:18,600 --> 00:05:21,240
Speaker 1: least the way people in whatever field they're in look

88
00:05:21,279 --> 00:05:24,040
Speaker 1: at their field. They make a difference or difference makers.

89
00:05:24,120 --> 00:05:26,000
Speaker 1: Have you ever heard of a guy named William James

90
00:05:26,000 --> 00:05:32,359
Speaker 1: sidis Now, he reportedly had the highest um i Q

91
00:05:32,560 --> 00:05:35,919
Speaker 1: in history. I'm higher than ask Maryland of Parade. As

92
00:05:35,960 --> 00:05:38,520
Speaker 1: a matter of fact, yes, asked Maryland says, hers is

93
00:05:38,560 --> 00:05:41,280
Speaker 1: two thirty. She claims the highest ever measured. This guy

94
00:05:41,320 --> 00:05:45,200
Speaker 1: supposedly was to fifty. Yeah. Um, let me let me

95
00:05:45,279 --> 00:05:47,320
Speaker 1: keep you more than a q a at the end

96
00:05:47,320 --> 00:05:51,000
Speaker 1: of Parade magazine. Sadly, no really, Okay, So let me

97
00:05:51,080 --> 00:05:54,239
Speaker 1: let me give you a little background on sittence. Okay, uh.

98
00:05:54,279 --> 00:05:57,080
Speaker 1: He was eighteen months old when he started reading the

99
00:05:57,080 --> 00:06:01,640
Speaker 1: New York Times. Okay, so far so uh. At two

100
00:06:01,720 --> 00:06:05,839
Speaker 1: he taught himself Latin. Three, he taught himself Greek. Uh.

101
00:06:06,000 --> 00:06:09,200
Speaker 1: He could speak more than forty languages by the time

102
00:06:09,240 --> 00:06:12,880
Speaker 1: he was an adult. Uh. He graduated kum laude at

103
00:06:12,960 --> 00:06:17,359
Speaker 1: sixteen from Harvard and became the youngest professor ever in

104
00:06:17,400 --> 00:06:19,839
Speaker 1: the history of Rice University. I imagine he was like

105
00:06:19,920 --> 00:06:24,920
Speaker 1: seventeen or something. Who's a young guy, and then within

106
00:06:25,000 --> 00:06:28,800
Speaker 1: I think about a year at Rice, he dropped his

107
00:06:28,839 --> 00:06:31,880
Speaker 1: position and spent the rest of his life working like

108
00:06:32,080 --> 00:06:35,320
Speaker 1: menial jobs. He went from job to job just doing

109
00:06:36,240 --> 00:06:39,840
Speaker 1: normal labor. So he's not a genius though he would

110
00:06:39,880 --> 00:06:42,240
Speaker 1: not qualify as a genius by this definition. You have

111
00:06:42,240 --> 00:06:45,040
Speaker 1: a two ft Q. You're clearly a prodigy. You're an

112
00:06:45,040 --> 00:06:48,960
Speaker 1: incredibly brilliant person. But if you don't contribute to humanity,

113
00:06:49,440 --> 00:06:51,920
Speaker 1: what are you worth? You're like a Buddhist monk who

114
00:06:52,000 --> 00:06:54,840
Speaker 1: goes and spends your life meditating in a cave. We

115
00:06:56,360 --> 00:07:00,480
Speaker 1: curse you, sorry, but but that's that's the point. And

116
00:07:00,560 --> 00:07:04,159
Speaker 1: geniuses are incredibly valuable in society. I don't remember what

117
00:07:04,200 --> 00:07:06,680
Speaker 1: podcast it was in what we were talking about, um

118
00:07:07,040 --> 00:07:10,960
Speaker 1: mauthis and the idea that the more the larger the

119
00:07:11,000 --> 00:07:17,440
Speaker 1: world population, the more incidents of the births of geniuses happens. Right, Uh,

120
00:07:17,480 --> 00:07:20,000
Speaker 1: and then the more geniuses you have, the further along

121
00:07:20,080 --> 00:07:22,800
Speaker 1: society is helped by leaps and bounds. Right, Well, if

122
00:07:22,840 --> 00:07:26,960
Speaker 1: you think MENSA is a quantifier, then there's about three

123
00:07:27,000 --> 00:07:30,200
Speaker 1: million geniuses in the US. But I don't buy that,

124
00:07:30,440 --> 00:07:34,560
Speaker 1: right because MENSA standards, UM, they accept people who well

125
00:07:34,600 --> 00:07:38,760
Speaker 1: it's not just like you, but standardized intelligence tests. Um,

126
00:07:38,800 --> 00:07:42,280
Speaker 1: they accept people who score within the top two percent

127
00:07:42,800 --> 00:07:47,120
Speaker 1: of those. So if you just extend that with basic

128
00:07:47,200 --> 00:07:49,920
Speaker 1: math to percent of the population in the US is

129
00:07:50,000 --> 00:07:53,680
Speaker 1: like six million people, right, and then thirty million worldwide.

130
00:07:54,400 --> 00:07:56,040
Speaker 1: But I don't buy it anyway, because they don't even

131
00:07:56,080 --> 00:07:58,400
Speaker 1: count in the creative element. You know, Gina Davis is

132
00:07:58,440 --> 00:08:02,200
Speaker 1: in mensa that everyone always says that. Anytime you hear

133
00:08:02,200 --> 00:08:04,320
Speaker 1: about MENSA, people go, you know, Gina Davis, even I

134
00:08:04,320 --> 00:08:06,600
Speaker 1: think we had this conversation you brought up Ronny Harlan

135
00:08:06,720 --> 00:08:09,680
Speaker 1: and yeah, the the Pirate movie they made. Let's play

136
00:08:09,720 --> 00:08:14,520
Speaker 1: the clip, shall we? No? Okay we won't. Um, just

137
00:08:14,560 --> 00:08:17,320
Speaker 1: get back to she just spit bologny out of her mouth.

138
00:08:18,200 --> 00:08:21,160
Speaker 1: She shouldn't be eating bologny anyway. I did her a favor.

139
00:08:21,240 --> 00:08:22,880
Speaker 1: You're right, so you wanna talk about the brain is

140
00:08:22,920 --> 00:08:25,200
Speaker 1: that where we're going. Let's let's get to it. I mean,

141
00:08:25,240 --> 00:08:27,440
Speaker 1: like if if you're going to go in search your

142
00:08:27,480 --> 00:08:32,080
Speaker 1: genius with or without Leonard Nimoy, Um, you are going

143
00:08:32,120 --> 00:08:33,800
Speaker 1: to start looking in the brain, right. I love that

144
00:08:33,800 --> 00:08:38,880
Speaker 1: show the best. It's awesome, so super seventies. Um, so

145
00:08:38,960 --> 00:08:41,120
Speaker 1: let's go into the brain. Clearly we're gonna find our

146
00:08:41,120 --> 00:08:45,400
Speaker 1: answers here, right, Maybe no, no, but we should talk

147
00:08:45,400 --> 00:08:47,800
Speaker 1: about it. The cerebral cortex, as we all know, is

148
00:08:47,840 --> 00:08:51,360
Speaker 1: the largest and outermost part of your brain, and this

149
00:08:51,400 --> 00:08:54,040
Speaker 1: is where the higher functions like thought and reasoning happen

150
00:08:54,559 --> 00:08:58,360
Speaker 1: as opposed to lower functions like just basic survival that

151
00:08:58,440 --> 00:09:01,199
Speaker 1: kind of thing, right, And the basic stuff is found

152
00:09:01,200 --> 00:09:03,320
Speaker 1: in your brain stem, which is how Mike the chicken

153
00:09:03,440 --> 00:09:06,120
Speaker 1: was able to live for so long. That's right. Uh,

154
00:09:06,160 --> 00:09:10,120
Speaker 1: the cortex is cerebral cortex is divided into lobes, and

155
00:09:10,240 --> 00:09:14,440
Speaker 1: within those lobes are regions that help you handle specific tasks.

156
00:09:15,320 --> 00:09:17,800
Speaker 1: And uh, we do know it has a big impact

157
00:09:17,800 --> 00:09:20,320
Speaker 1: on how we think, but it's a little tricky to

158
00:09:20,360 --> 00:09:24,559
Speaker 1: study because one reason that Tracy point out, which I

159
00:09:24,559 --> 00:09:26,199
Speaker 1: thought was really valid, is to get an m R

160
00:09:26,280 --> 00:09:29,680
Speaker 1: I done, you're lying there in a tube. They can't

161
00:09:29,720 --> 00:09:32,920
Speaker 1: actively study how your brain operates on a day to

162
00:09:33,000 --> 00:09:35,960
Speaker 1: day basis, why you're functioning, which is the great failing

163
00:09:35,960 --> 00:09:38,120
Speaker 1: of the wonder machine. Yeah, I bet you they can

164
00:09:38,120 --> 00:09:40,200
Speaker 1: solve that one day. Oh they will definitely, And by

165
00:09:40,280 --> 00:09:42,600
Speaker 1: they I mean people other than you, me or Jerry.

166
00:09:42,760 --> 00:09:47,160
Speaker 1: It's some genius perhaps precisely. But she did point out

167
00:09:47,160 --> 00:09:49,960
Speaker 1: a cool study from cal Irvine in two thousand four

168
00:09:50,360 --> 00:09:53,120
Speaker 1: and they they did pinpoint that the volume of gray

169
00:09:53,160 --> 00:09:56,880
Speaker 1: matter in parts of the cerebral cortex has a greater

170
00:09:56,960 --> 00:10:00,720
Speaker 1: impact on your overall intelligence than how law your brain is.

171
00:10:00,960 --> 00:10:05,079
Speaker 1: Because we talked about that in the Einstein thing, right, Yeah,

172
00:10:05,880 --> 00:10:09,280
Speaker 1: the gray matter, h man, I know, the white matter transmits.

173
00:10:09,520 --> 00:10:12,320
Speaker 1: The gray matter is like a problem solving. I believe

174
00:10:12,520 --> 00:10:16,600
Speaker 1: in white matter is used to transmit information. But Einstein's

175
00:10:16,600 --> 00:10:19,480
Speaker 1: brain was smaller than your average bear's brain. It was.

176
00:10:19,600 --> 00:10:22,080
Speaker 1: Remember we talked about what happened to his brain and

177
00:10:22,200 --> 00:10:25,559
Speaker 1: um when what they finally found. The big distinction they

178
00:10:25,559 --> 00:10:29,199
Speaker 1: found in his brain that was abnormal was that his

179
00:10:29,280 --> 00:10:35,280
Speaker 1: prietal lobe was almost missing this fissure within it that

180
00:10:35,320 --> 00:10:37,720
Speaker 1: most people have. So he had a very narrow fissure

181
00:10:38,080 --> 00:10:43,720
Speaker 1: and they also wider, and so had a big prietal lobe,

182
00:10:43,720 --> 00:10:46,640
Speaker 1: which is responsible for century and put, but it also

183
00:10:46,720 --> 00:10:50,400
Speaker 1: handles things like mathematics. Unsurprisingly enough, so he had a

184
00:10:50,440 --> 00:10:53,000
Speaker 1: big prival lobe with a small fishure in between it,

185
00:10:53,040 --> 00:10:56,920
Speaker 1: which they theorized means or meant that his his pridal

186
00:10:56,960 --> 00:11:01,120
Speaker 1: lobe could communicate with itself more a fishly more effectively,

187
00:11:01,320 --> 00:11:06,160
Speaker 1: and a genius was born by Josh Youers. He proved

188
00:11:06,160 --> 00:11:09,280
Speaker 1: that Adams Adams exist. He figured out that light behaves

189
00:11:09,320 --> 00:11:11,760
Speaker 1: as a particle and a wave. He developed the theory

190
00:11:11,800 --> 00:11:16,120
Speaker 1: of relativity and the famous equation equals mc squared by six.

191
00:11:16,840 --> 00:11:19,120
Speaker 1: Where were you and by that age? I wish I

192
00:11:19,120 --> 00:11:22,839
Speaker 1: could remember, Chuck me too. You were you were? Were

193
00:11:22,880 --> 00:11:26,959
Speaker 1: you following fish around or something like that? Wire panic, Yeah, yeah,

194
00:11:27,000 --> 00:11:29,360
Speaker 1: I was. I think I was living in New Jersey

195
00:11:29,400 --> 00:11:32,040
Speaker 1: at the time, but I goofed around enough in Athens.

196
00:11:32,360 --> 00:11:35,280
Speaker 1: I wasn't coming up with theories of relativity, nor was

197
00:11:35,360 --> 00:11:39,320
Speaker 1: I know I was thrown a lot of darts. Some

198
00:11:39,400 --> 00:11:42,880
Speaker 1: other interesting aspects of the brain um is that it

199
00:11:42,920 --> 00:11:46,360
Speaker 1: actually develops. It goes from thicker to thinner as we age,

200
00:11:46,720 --> 00:11:51,200
Speaker 1: So it goes from undeveloped to the cerebral cortex thickening,

201
00:11:52,000 --> 00:11:57,120
Speaker 1: and then after adolescence or maybe during adolescence it begins

202
00:11:57,160 --> 00:11:59,840
Speaker 1: to thin, right, And what the what a study in

203
00:12:00,120 --> 00:12:03,240
Speaker 1: Nature I think two thousand and six found was that

204
00:12:03,400 --> 00:12:08,960
Speaker 1: UM kids whose brains thick and faster in youth tended

205
00:12:09,000 --> 00:12:11,400
Speaker 1: to have higher i Q s. And the reason that

206
00:12:11,520 --> 00:12:14,560
Speaker 1: this could be significant is that they we we tend

207
00:12:14,600 --> 00:12:18,200
Speaker 1: to find intelligence is an inherited trait or what appears

208
00:12:18,240 --> 00:12:21,160
Speaker 1: to be an inherited trait. So this is a physical

209
00:12:21,240 --> 00:12:25,440
Speaker 1: example of how uh intelligence could be inherited through organic

210
00:12:25,480 --> 00:12:29,640
Speaker 1: structure of the brain. So that's intelligence, but that's not genius.

211
00:12:31,760 --> 00:12:34,079
Speaker 1: But we can't even we But at the same time,

212
00:12:34,120 --> 00:12:37,600
Speaker 1: we can't even really describe intelligence. Like consider, let's let's

213
00:12:37,600 --> 00:12:40,800
Speaker 1: talk about the i Q tests, all right. The are

214
00:12:41,040 --> 00:12:45,440
Speaker 1: our big um arousal for the i Q test began

215
00:12:45,559 --> 00:12:49,760
Speaker 1: in the in the mid nineteen twenties when a psychologist

216
00:12:49,800 --> 00:12:54,240
Speaker 1: named Katherine Morris Cox published UM The Early Mental Traits

217
00:12:54,240 --> 00:12:57,320
Speaker 1: of Three Geniuses, and basically she went back from and

218
00:12:57,360 --> 00:13:01,280
Speaker 1: it was exhaustive. She used like fift sources and studied

219
00:13:01,760 --> 00:13:07,360
Speaker 1: the the work the traits, the UM contributions of three

220
00:13:07,440 --> 00:13:09,719
Speaker 1: hundred actually three hundred and one. Oun't know why she

221
00:13:09,840 --> 00:13:13,080
Speaker 1: called it three hundred, but three hundred one Great minds

222
00:13:13,480 --> 00:13:16,960
Speaker 1: and then basically gave them an i Q test based

223
00:13:16,960 --> 00:13:20,079
Speaker 1: on this uh and came up in. The highest rated

224
00:13:20,120 --> 00:13:23,800
Speaker 1: one was Johann Gurta, very nice thank you. Did you

225
00:13:23,840 --> 00:13:26,480
Speaker 1: know he had a theory of evolution like seventy five

226
00:13:26,559 --> 00:13:30,160
Speaker 1: years before Darwin? Yeah, and he came up with human chemistry.

227
00:13:30,200 --> 00:13:31,920
Speaker 1: He was a smart guy. But he cocked in at

228
00:13:31,960 --> 00:13:35,200
Speaker 1: number one, at two fifty or to ten. Sorry, not

229
00:13:35,280 --> 00:13:38,200
Speaker 1: bad at all. But as this book came out and

230
00:13:38,240 --> 00:13:42,400
Speaker 1: became you know, um, the public became aware of it,

231
00:13:42,400 --> 00:13:44,360
Speaker 1: it was like, hey, we didn't know about these i

232
00:13:44,440 --> 00:13:47,120
Speaker 1: Q tests. Is awesome, we can start measuring how smart

233
00:13:47,120 --> 00:13:50,320
Speaker 1: people are. Ironically, the earliest i Q tests were used

234
00:13:50,320 --> 00:13:54,679
Speaker 1: to measure mental handicaps and children. Yeah, but then they

235
00:13:54,720 --> 00:13:57,600
Speaker 1: started figuring out, hey, you can use this for gifted

236
00:13:57,679 --> 00:14:00,480
Speaker 1: kids to find the gifted kids as well, and the

237
00:14:00,559 --> 00:14:04,679
Speaker 1: Stanford psychologist U mixed with the first guy who came

238
00:14:04,720 --> 00:14:06,920
Speaker 1: up with the i Q test, bin At. The two

239
00:14:06,920 --> 00:14:10,080
Speaker 1: together formed the Stanford Binet IQ tests that we used today.

240
00:14:10,840 --> 00:14:13,400
Speaker 1: Have you ever had yours done I refused to I

241
00:14:13,520 --> 00:14:16,280
Speaker 1: never will. I took one at one point, but it

242
00:14:16,400 --> 00:14:20,040
Speaker 1: wasn't like the standard test. It was just some hackneyed version,

243
00:14:20,200 --> 00:14:22,680
Speaker 1: and I scored really high. That's the reason I know

244
00:14:22,880 --> 00:14:26,480
Speaker 1: that it was pretty much BS because I'm kind of smart,

245
00:14:26,520 --> 00:14:29,360
Speaker 1: but not anything like Uh I scored. I didn't. I

246
00:14:29,360 --> 00:14:31,960
Speaker 1: don't put any stock into it, but chuck, I guess

247
00:14:32,840 --> 00:14:36,160
Speaker 1: that kind of underscores um. A really good criticism of

248
00:14:36,280 --> 00:14:40,160
Speaker 1: i Q tests is that they may be standardized, they

249
00:14:40,240 --> 00:14:43,720
Speaker 1: may be widely accepted, but we aren't percent sure that

250
00:14:43,840 --> 00:14:47,440
Speaker 1: they measure everything. So I wouldn't even say we're sure

251
00:14:47,440 --> 00:14:53,920
Speaker 1: they measure everything. The measure mathematical aptitude, language abilities, um,

252
00:14:54,120 --> 00:14:57,120
Speaker 1: what else? Uh? Well, yeah, sure, along with memory and

253
00:14:57,440 --> 00:15:01,240
Speaker 1: spatial ability. Okay, but is that every Well No, in

254
00:15:01,720 --> 00:15:05,120
Speaker 1: any standardized test, the word itself kind of says it all.

255
00:15:05,160 --> 00:15:08,520
Speaker 1: It's standardized, right. No standardized tests that you give different

256
00:15:08,560 --> 00:15:10,880
Speaker 1: people can really tell you the same thing about all

257
00:15:10,920 --> 00:15:12,680
Speaker 1: those different people. No, I can't. And I mean the

258
00:15:12,880 --> 00:15:18,320
Speaker 1: very questions that the test test asks. Wow, these pain

259
00:15:18,440 --> 00:15:21,000
Speaker 1: themes are really getting on top of me. Uh, the

260
00:15:21,520 --> 00:15:26,880
Speaker 1: very questions that these tests ask um actually can be biased? Um?

261
00:15:27,040 --> 00:15:29,880
Speaker 1: I heard, I heard of I think an S A T.

262
00:15:30,680 --> 00:15:32,760
Speaker 1: I hope it wasn't an S A T question. It's

263
00:15:32,800 --> 00:15:36,000
Speaker 1: a little too easy. But um, some sort of standardized

264
00:15:36,000 --> 00:15:39,280
Speaker 1: tests asked the question which of these places would you

265
00:15:39,480 --> 00:15:41,680
Speaker 1: go to buy milk? And it was like grocery store,

266
00:15:41,920 --> 00:15:46,120
Speaker 1: convenience store, dairy or something like that. You can buy

267
00:15:46,160 --> 00:15:48,280
Speaker 1: milk at all those Josh, well you can. But I mean,

268
00:15:48,400 --> 00:15:50,640
Speaker 1: like for kids out in the sticks where there isn't

269
00:15:50,640 --> 00:15:53,120
Speaker 1: a grocery store, but there's a convenience store, that's where

270
00:15:53,160 --> 00:15:54,960
Speaker 1: they go to buy their milk. But they missed the

271
00:15:55,040 --> 00:15:57,640
Speaker 1: question because the answer was supposed to be grocery store.

272
00:15:57,960 --> 00:16:01,520
Speaker 1: It's a it's a pretty dumb examp ample, but it's accurate.

273
00:16:01,920 --> 00:16:04,840
Speaker 1: I mean, the very people who write the tests are

274
00:16:04,960 --> 00:16:07,120
Speaker 1: biased in some ways, and i Q tests have been

275
00:16:07,160 --> 00:16:14,200
Speaker 1: shown to skew against um certain ethnic and socioeconomic groups. Yeah, sure,

276
00:16:14,280 --> 00:16:18,080
Speaker 1: same say, any standardized test does so boo boo to.

277
00:16:18,200 --> 00:16:20,440
Speaker 1: That is what I say. And the other thing, too,

278
00:16:20,640 --> 00:16:25,320
Speaker 1: is is that geniuses don't, like people can generally consider genius,

279
00:16:25,360 --> 00:16:28,240
Speaker 1: don't necessarily score well in these tests anyway. No, that's true.

280
00:16:28,240 --> 00:16:30,520
Speaker 1: To throw it out the door, I say, Um, I

281
00:16:30,640 --> 00:16:32,600
Speaker 1: will say that just while we might as well give

282
00:16:32,600 --> 00:16:37,920
Speaker 1: a little information on the IQ test. The standard score

283
00:16:38,000 --> 00:16:40,520
Speaker 1: is a hundred with the deviation of sixteen, So the

284
00:16:40,640 --> 00:16:44,680
Speaker 1: average score of the general population will be between eighty

285
00:16:44,760 --> 00:16:49,640
Speaker 1: four and one sixteen. Right, but no one knows what

286
00:16:49,920 --> 00:16:53,480
Speaker 1: over that indicates a genius. A widely accepted number is

287
00:16:53,520 --> 00:16:56,840
Speaker 1: one forty. But somebody just made that up at some

288
00:16:56,960 --> 00:16:58,680
Speaker 1: point in time. Well, like I said, I read one.

289
00:16:59,760 --> 00:17:02,440
Speaker 1: And it's not to say that a really high score

290
00:17:03,840 --> 00:17:06,520
Speaker 1: doesn't mean you're a genius, like it could mean you're

291
00:17:06,520 --> 00:17:09,480
Speaker 1: a genius. The i Q test is capturing something, probably,

292
00:17:09,880 --> 00:17:11,840
Speaker 1: but it's not capturing the whole picture, I think is

293
00:17:11,880 --> 00:17:13,720
Speaker 1: the point we're trying to make right here, right, not

294
00:17:13,840 --> 00:17:16,080
Speaker 1: at all. So let's leave the i Q test in

295
00:17:16,160 --> 00:17:21,280
Speaker 1: our dust. Okay, maybe we should go with Steinberg's I'm sorry,

296
00:17:21,320 --> 00:17:25,600
Speaker 1: Sternberg's try arch theory. I kind of like that. Yeah,

297
00:17:25,680 --> 00:17:29,960
Speaker 1: there are some competing explanations of what components there are

298
00:17:30,080 --> 00:17:33,320
Speaker 1: to intellect, right, Yeah, Sternberg said that he thought it um.

299
00:17:33,680 --> 00:17:36,959
Speaker 1: Human intelligence includes a few things plus the try arc.

300
00:17:37,720 --> 00:17:42,320
Speaker 1: Creative intelligence, so the ability to generate new ideas, interesting ideas,

301
00:17:43,119 --> 00:17:47,200
Speaker 1: analytical intelligence so you can examine facts, draw conclusions that's

302
00:17:47,240 --> 00:17:50,560
Speaker 1: pretty good and practical intelligence, which means you can fit

303
00:17:50,720 --> 00:17:56,080
Speaker 1: into your environment, which like kind of yeah, But I disagree, man.

304
00:17:56,320 --> 00:17:58,320
Speaker 1: I went back and reread that a couple of times,

305
00:17:58,400 --> 00:18:01,119
Speaker 1: and you know, Racy points out that there are a

306
00:18:01,160 --> 00:18:05,880
Speaker 1: lot of critics of you know, um practical intelligences. Everybody

307
00:18:06,000 --> 00:18:07,920
Speaker 1: has that to a certain degree, that does that really

308
00:18:08,000 --> 00:18:11,520
Speaker 1: count to towards being a genius? I disagree. I've met

309
00:18:11,640 --> 00:18:13,959
Speaker 1: some people who well, I mean, think about it. It's

310
00:18:14,000 --> 00:18:18,200
Speaker 1: the classic example of somebody who's very book smart, but

311
00:18:18,680 --> 00:18:21,680
Speaker 1: you should never let walk down an alley by themselves

312
00:18:21,720 --> 00:18:25,480
Speaker 1: and by himself for her. So many many people like that. Sure,

313
00:18:25,560 --> 00:18:28,479
Speaker 1: and then there's you know, the super street smart um

314
00:18:28,920 --> 00:18:32,479
Speaker 1: ratso Rizzo, you know, who can make his way him

315
00:18:32,600 --> 00:18:36,639
Speaker 1: Jersey Midnight cowboy here exactly, who who can make his

316
00:18:36,720 --> 00:18:39,119
Speaker 1: way in the world, but you know, would probably do

317
00:18:39,240 --> 00:18:42,440
Speaker 1: horribly on an IQ test. The very fact that there

318
00:18:42,760 --> 00:18:46,639
Speaker 1: there are those different um polar extremes means to me

319
00:18:46,800 --> 00:18:51,159
Speaker 1: that there's something to that that is an aspect of intellect, right,

320
00:18:51,240 --> 00:18:54,000
Speaker 1: And you remember I mentioned g earlier. I didn't want

321
00:18:54,000 --> 00:18:56,359
Speaker 1: to leave people hanging there. But the i Q test

322
00:18:56,440 --> 00:18:58,640
Speaker 1: they have come up with a unit and they call

323
00:18:58,720 --> 00:19:01,720
Speaker 1: that unit for intelligence g right, and that's actually i

324
00:19:01,880 --> 00:19:06,119
Speaker 1: Q tests are under a larger umbrella of what's called psychometrics,

325
00:19:06,200 --> 00:19:10,560
Speaker 1: which is basically the study of an attempt of the

326
00:19:10,640 --> 00:19:15,000
Speaker 1: measurement of intelligence. Right yeah. Um. Back in the seventies,

327
00:19:15,080 --> 00:19:19,119
Speaker 1: there is a statistician named Carl your skog you're a

328
00:19:19,240 --> 00:19:24,560
Speaker 1: skog weird, um, and he figured out that you. He

329
00:19:24,680 --> 00:19:27,560
Speaker 1: figured out a way to measure intelligence that basically lead

330
00:19:27,640 --> 00:19:31,160
Speaker 1: to the appearance of three different kinds of intelligence. While

331
00:19:31,200 --> 00:19:35,600
Speaker 1: we're on theories of intelligence, right, okay, he came up

332
00:19:35,680 --> 00:19:41,480
Speaker 1: with um fluid intelligence, right, yes, okay, And this is

333
00:19:41,520 --> 00:19:43,960
Speaker 1: basically coming up with new ideas on your own to

334
00:19:44,080 --> 00:19:51,160
Speaker 1: solve problems. Crystallized intelligence is UM understanding already established techniques

335
00:19:51,200 --> 00:19:54,560
Speaker 1: of problem solving and being able to identify which technique

336
00:19:54,560 --> 00:19:58,840
Speaker 1: will best work to solve a particular problem. And then

337
00:19:58,880 --> 00:20:02,119
Speaker 1: there's visual spatial reasoning, which is UM kind of an

338
00:20:02,160 --> 00:20:06,600
Speaker 1: aptitude at creating mental images in your head to solve problems.

339
00:20:06,640 --> 00:20:10,760
Speaker 1: It's very important part of mathematics. Actually, So we have

340
00:20:11,359 --> 00:20:17,480
Speaker 1: your Scogg's ideas, we've got um, what's your guy's name, Sternberg's.

341
00:20:18,400 --> 00:20:21,120
Speaker 1: Let's talk about Howard Gardner, and he has the feel

342
00:20:21,200 --> 00:20:25,760
Speaker 1: good we're all geniuses kind of theory, right, Yeah, multiple intelligence.

343
00:20:26,240 --> 00:20:32,200
Speaker 1: He thinks there's seven types linguistic, logical, mathematic, musical, bodily, kinetic,

344
00:20:32,320 --> 00:20:37,480
Speaker 1: I'm sorry, kinesthetic, spatial, which is always in there, uh intrapersonal,

345
00:20:37,600 --> 00:20:40,560
Speaker 1: and interpersonal. But that's, like you said, it's a little

346
00:20:40,760 --> 00:20:43,800
Speaker 1: too uh broad, is what a lot of critics say.

347
00:20:44,320 --> 00:20:46,040
Speaker 1: There's always a critic of each of these. It seems

348
00:20:46,080 --> 00:20:49,040
Speaker 1: like one person comes out with something and people say, well,

349
00:20:49,080 --> 00:20:50,760
Speaker 1: I think that sounds good, and then another part of

350
00:20:50,800 --> 00:20:54,080
Speaker 1: the camp says, no, I don't agree at all. Isn't

351
00:20:54,119 --> 00:20:56,399
Speaker 1: that the way with everything they chook? Pretty much like

352
00:20:56,480 --> 00:20:59,159
Speaker 1: mountain dew code read is the greatest drink ever. No,

353
00:20:59,320 --> 00:21:03,080
Speaker 1: it's not gular, Mountain Dews way better. Good point um.

354
00:21:04,040 --> 00:21:07,800
Speaker 1: And then I guess another hallmark of intelligence, something that

355
00:21:07,920 --> 00:21:15,480
Speaker 1: can be measured, is geniuses aptitude toward social awkwardness. Yeah,

356
00:21:15,560 --> 00:21:17,520
Speaker 1: there's a lot of them. Are generally known as quirky,

357
00:21:17,760 --> 00:21:24,040
Speaker 1: odd characters makeup friends John Nash did. Yeah, absolutely. Einstein

358
00:21:24,119 --> 00:21:25,960
Speaker 1: was sort of a wacky guy. Yeah, he liked to

359
00:21:26,000 --> 00:21:28,600
Speaker 1: stick his tongue out, he was zany. Yeah, that people

360
00:21:28,640 --> 00:21:31,000
Speaker 1: always pointed that picture. So you look how crazy he was.

361
00:21:31,680 --> 00:21:35,600
Speaker 1: Got anyone else? Well, let's talk about studying that. Yes, Josh,

362
00:21:35,680 --> 00:21:39,560
Speaker 1: a Purdue uh study perdue you saw four and twenty

363
00:21:39,640 --> 00:21:44,000
Speaker 1: three students gifted students and suggested that they were more

364
00:21:44,040 --> 00:21:49,080
Speaker 1: susceptible to being bullied. So they're little mammy panbies, I

365
00:21:49,119 --> 00:21:52,080
Speaker 1: guess a little bit. Also, there was a study UM

366
00:21:52,560 --> 00:21:55,840
Speaker 1: out of was it Stanford That it was a twenty

367
00:21:55,920 --> 00:22:00,359
Speaker 1: year study actually UM that ended in ninety that actually

368
00:22:00,520 --> 00:22:06,159
Speaker 1: gave UM children aptitude tests and personal adjustment tests and

369
00:22:06,320 --> 00:22:09,680
Speaker 1: found that there was a negative correlation between i Q

370
00:22:10,160 --> 00:22:15,159
Speaker 1: and social adjustment. Right, So basically it's it's quantifying what

371
00:22:15,320 --> 00:22:17,840
Speaker 1: we all already know that if you're a smart kid,

372
00:22:18,400 --> 00:22:21,160
Speaker 1: you're going to eat mud several times in your life. Yes,

373
00:22:21,520 --> 00:22:23,760
Speaker 1: I never ate mud. That's why my IQ score was

374
00:22:23,800 --> 00:22:28,119
Speaker 1: bs uh. Well, one thing that they geniuses have in common,

375
00:22:28,200 --> 00:22:30,560
Speaker 1: I think we can all agree on that you need

376
00:22:30,680 --> 00:22:33,000
Speaker 1: to have to be a genius and not just smart.

377
00:22:33,480 --> 00:22:39,240
Speaker 1: This creative intelligence and high waisted pants. Creative intelligence and

378
00:22:39,359 --> 00:22:41,560
Speaker 1: high waisted pants. This is where it all comes together

379
00:22:41,680 --> 00:22:43,800
Speaker 1: to me, right, Yeah, I mean when we talked about

380
00:22:43,840 --> 00:22:46,520
Speaker 1: this earlier, like you can't. It's not good enough to

381
00:22:46,600 --> 00:22:48,760
Speaker 1: just be smart. Then you're just a really intelligent person.

382
00:22:48,920 --> 00:22:55,120
Speaker 1: That leap between intelligence and genius is bridged by creative prowess. Yeah,

383
00:22:55,160 --> 00:22:57,760
Speaker 1: that's how you break new ground. Right, Why did you

384
00:22:57,840 --> 00:23:00,680
Speaker 1: point it me? Because promise was a horrible I like that,

385
00:23:00,880 --> 00:23:03,760
Speaker 1: thanks man. The thing is, though, Josher's is that, uh,

386
00:23:04,320 --> 00:23:07,600
Speaker 1: this is another thing that you can't quantify and study necessarily,

387
00:23:07,960 --> 00:23:11,400
Speaker 1: So once again it's hard to kind of pinpoint creativity

388
00:23:11,480 --> 00:23:16,600
Speaker 1: and imagination. Although they researchers do think that creative people

389
00:23:16,680 --> 00:23:21,240
Speaker 1: have less latent inhibition, and I completely agree with that, right. Yeah,

390
00:23:21,280 --> 00:23:24,400
Speaker 1: we've talked about that with the Thinking cap episodes where

391
00:23:24,640 --> 00:23:28,120
Speaker 1: schizophrenics have low latent inhibition and they take this extra

392
00:23:28,200 --> 00:23:31,119
Speaker 1: stimuli and their brain constructs solution hallucinations out of it.

393
00:23:31,560 --> 00:23:36,040
Speaker 1: The idea was that creative geniuses, who who have low

394
00:23:36,160 --> 00:23:39,119
Speaker 1: latent inhibition take this additional stimuli and use it in

395
00:23:39,240 --> 00:23:43,159
Speaker 1: novel creative ways. Yeah, that's one way of looking at it.

396
00:23:43,280 --> 00:23:46,720
Speaker 1: There's also um a quantifiable method or a couple of

397
00:23:46,800 --> 00:23:52,720
Speaker 1: them to determine how much um creativity a genius has

398
00:23:52,960 --> 00:23:56,399
Speaker 1: lent to the world. Right, It isn't that article you

399
00:23:56,840 --> 00:23:58,800
Speaker 1: that time article you sent me. I thought that was

400
00:23:58,880 --> 00:24:02,240
Speaker 1: kind of lame. Explain but that this is the level

401
00:24:02,320 --> 00:24:05,560
Speaker 1: that we're at to try to survey a genius. Right, Yeah,

402
00:24:05,640 --> 00:24:07,160
Speaker 1: what is was this the guy who wrote the book

403
00:24:07,200 --> 00:24:11,360
Speaker 1: Simmons Simonton. Yeah, he yeh, Dave dean Keith almost said,

404
00:24:11,440 --> 00:24:16,840
Speaker 1: David Keith, what a great actor. Dean Keith. Simonton wrote

405
00:24:16,840 --> 00:24:19,879
Speaker 1: a book called a Genius one on one Creators, Leaders, Prodigies,

406
00:24:20,560 --> 00:24:24,760
Speaker 1: and he came up with a little notion that add

407
00:24:24,840 --> 00:24:27,880
Speaker 1: up the number of times someone has been in a publication,

408
00:24:28,600 --> 00:24:32,200
Speaker 1: has been cited in a professional publication in the field,

409
00:24:33,080 --> 00:24:36,159
Speaker 1: or the number of times their composer's work maybe has

410
00:24:36,200 --> 00:24:39,600
Speaker 1: been performed or recorded. And I just think that's stupid.

411
00:24:39,920 --> 00:24:42,960
Speaker 1: I think the I think there's one that's worse, and

412
00:24:43,040 --> 00:24:47,680
Speaker 1: that's counting encyclopedia references. That's awful, because I think you

413
00:24:47,720 --> 00:24:52,000
Speaker 1: can be a genius who was undiscovered. You may have

414
00:24:52,440 --> 00:24:57,440
Speaker 1: like written a thousand great compositions of music that you

415
00:24:57,520 --> 00:25:02,200
Speaker 1: never show the world. No, then the same things just

416
00:25:02,359 --> 00:25:05,439
Speaker 1: holding menial jobs. It's that's virtually the same thing as

417
00:25:05,480 --> 00:25:07,600
Speaker 1: holding that stuff in your head. You have to share

418
00:25:07,640 --> 00:25:09,239
Speaker 1: it with the world. To be a genius or else

419
00:25:09,320 --> 00:25:11,520
Speaker 1: you're just some smart schmoke. I don't know if I

420
00:25:11,560 --> 00:25:13,800
Speaker 1: agree with that. Well, but I don't know if I

421
00:25:13,920 --> 00:25:16,280
Speaker 1: do either. I think you can still be a genius

422
00:25:16,520 --> 00:25:18,639
Speaker 1: in and of yourself. You can be a genius in

423
00:25:18,720 --> 00:25:21,480
Speaker 1: a vacuum, but not considered a genius by the populace

424
00:25:22,160 --> 00:25:25,760
Speaker 1: who wants to own you, right, you know, I guess

425
00:25:25,800 --> 00:25:28,320
Speaker 1: that's a difference. The difference I see in the the

426
00:25:28,400 --> 00:25:31,760
Speaker 1: guy who wrote, or gal maybe who wrote uh several

427
00:25:31,800 --> 00:25:34,239
Speaker 1: great compositions and that were never discovered, and the guy

428
00:25:34,280 --> 00:25:36,600
Speaker 1: who just got the menial jobs is he didn't seem

429
00:25:36,640 --> 00:25:41,040
Speaker 1: to have any creative genius going on. Yeah, he learn

430
00:25:41,119 --> 00:25:45,040
Speaker 1: he was book learning, book learning. Um. Although if you

431
00:25:45,119 --> 00:25:48,359
Speaker 1: are trying to come up with a measure of you know,

432
00:25:48,640 --> 00:25:53,760
Speaker 1: creative genius, then counting Encyclopedia entries does work. I mean,

433
00:25:53,800 --> 00:25:56,879
Speaker 1: it's a way to go, right, Malcolm Gladwell should talk

434
00:25:56,920 --> 00:26:01,639
Speaker 1: about him. No, he is of the belief that, along

435
00:26:01,720 --> 00:26:04,240
Speaker 1: with Galton I think you're talking about with eugenics, that

436
00:26:05,240 --> 00:26:09,760
Speaker 1: practice is really what leads to genius, hard work and

437
00:26:09,880 --> 00:26:13,520
Speaker 1: practice and practice and practice, which I don't know about

438
00:26:13,520 --> 00:26:16,000
Speaker 1: that either. What do you think I told you I'm

439
00:26:16,040 --> 00:26:20,320
Speaker 1: not talking about Gladwell. Oh really all right? Moving on then?

440
00:26:20,800 --> 00:26:24,120
Speaker 1: Uh and there was well, fine, forget glad Well. Let's

441
00:26:24,160 --> 00:26:27,240
Speaker 1: talk about Ericsson Andrews Erickson as a rival. They call

442
00:26:27,359 --> 00:26:29,040
Speaker 1: him a friendly rival, which I thought was kind of

443
00:26:29,080 --> 00:26:31,800
Speaker 1: funny of the Simonson guy I was talking about their

444
00:26:32,080 --> 00:26:37,639
Speaker 1: their um conflicts end in tickle fights, right, It kind

445
00:26:37,640 --> 00:26:39,440
Speaker 1: of reminded me of the good Will hunting like Robin

446
00:26:39,480 --> 00:26:42,159
Speaker 1: Williams and that other guy. Right, there were friendly rivals.

447
00:26:42,720 --> 00:26:45,320
Speaker 1: But he is popular for the tenure rule, which has

448
00:26:45,359 --> 00:26:47,640
Speaker 1: been around for a long time. But that's a notion

449
00:26:47,720 --> 00:26:50,639
Speaker 1: that it takes ten years or ten thousand hours of

450
00:26:50,720 --> 00:26:54,960
Speaker 1: dedicated practice to master a complex endeavor, and Gladwell is

451
00:26:55,000 --> 00:26:58,520
Speaker 1: a believer in that. So chuck um. There's a guy

452
00:26:58,640 --> 00:27:02,040
Speaker 1: named David Gallantson too, who's kind of come up with

453
00:27:03,280 --> 00:27:09,320
Speaker 1: and at least a qualification of creative genius, Right he didn't, Well,

454
00:27:09,760 --> 00:27:13,119
Speaker 1: doesn't that kind of underscore like where the field of

455
00:27:13,240 --> 00:27:17,320
Speaker 1: genius or intelligence research is right now that we we've

456
00:27:17,400 --> 00:27:21,120
Speaker 1: just pooh pooed absolutely every sec it's all over the place. Yeah,

457
00:27:21,320 --> 00:27:23,080
Speaker 1: but yeah, say what he says, because I want to

458
00:27:23,200 --> 00:27:25,520
Speaker 1: prove that he says that there's actually now he says

459
00:27:25,600 --> 00:27:28,879
Speaker 1: there's three kinds. Originally said there's there's two types of innovators.

460
00:27:28,920 --> 00:27:34,720
Speaker 1: There's conceptual innovators who think in bold, dramatic steps, which

461
00:27:35,040 --> 00:27:37,720
Speaker 1: Einstein would fall into. And do you know that among

462
00:27:38,160 --> 00:27:40,280
Speaker 1: very smart people, he's considered kind of a flash in

463
00:27:40,320 --> 00:27:43,399
Speaker 1: the pan. Yeah, think about it. He did everything that

464
00:27:43,480 --> 00:27:45,840
Speaker 1: he was going to do by age six. After that

465
00:27:45,960 --> 00:27:49,880
Speaker 1: he just went around canoeing with Walter math Ou as

466
00:27:49,920 --> 00:27:54,240
Speaker 1: Walter math Ou same thing. Um. But then there's experimental

467
00:27:54,320 --> 00:27:57,960
Speaker 1: innovators and they learned through trial and error over This

468
00:27:58,000 --> 00:28:01,479
Speaker 1: would be the Thomas Edison's of the genius world um.

469
00:28:01,640 --> 00:28:05,040
Speaker 1: And then everybody started shouting at David Gallerson. Then he

470
00:28:05,080 --> 00:28:07,040
Speaker 1: said shut up, shut up, and went back to the

471
00:28:07,119 --> 00:28:10,080
Speaker 1: drawing board and came up with the idea that genius

472
00:28:10,119 --> 00:28:14,040
Speaker 1: can also be expressed in a continuum over time, throughout

473
00:28:14,280 --> 00:28:18,320
Speaker 1: a long lifetime of great contribution and work. That's my

474
00:28:18,440 --> 00:28:20,879
Speaker 1: problem with it. What everybody shouted at him. And he

475
00:28:20,920 --> 00:28:22,680
Speaker 1: went back and was like can you go? He was like, well,

476
00:28:22,760 --> 00:28:25,159
Speaker 1: you can either get everything done really early, or you

477
00:28:25,240 --> 00:28:26,960
Speaker 1: can produce all your great work later in life. And

478
00:28:27,000 --> 00:28:28,359
Speaker 1: they were like, but what about people do it all

479
00:28:28,400 --> 00:28:30,400
Speaker 1: their life. He went, well, yeah, you can do that too.

480
00:28:31,040 --> 00:28:34,240
Speaker 1: It's like so lame. So should we just list out

481
00:28:34,359 --> 00:28:37,960
Speaker 1: some some geniuses throughout history that people generally consider genius

482
00:28:38,040 --> 00:28:40,360
Speaker 1: and didn't like this list either, But we don't like

483
00:28:40,400 --> 00:28:43,480
Speaker 1: anything about this one doing George Washington's number forty five,

484
00:28:43,880 --> 00:28:46,240
Speaker 1: and here's number one. It starts at number two, and

485
00:28:46,320 --> 00:28:50,360
Speaker 1: if one's Einstein, I'm gonna literally eat this list. One

486
00:28:50,440 --> 00:28:55,680
Speaker 1: was Einstein. I didn't copy pastel of them. We have

487
00:28:55,840 --> 00:29:00,440
Speaker 1: geniuses like Tesla's three, um Da Vinci number two, Isaac Newton,

488
00:29:00,560 --> 00:29:05,120
Speaker 1: number four, Hawking of course, Michelangelo, Archimedes, Josh is eating

489
00:29:05,200 --> 00:29:10,160
Speaker 1: his list. Warren Buffett is on there. Not bad. Sure

490
00:29:10,240 --> 00:29:11,720
Speaker 1: they had to round it out and make it as

491
00:29:11,760 --> 00:29:15,640
Speaker 1: approachable that all the readers they could Aristotle, Picasso, Neils

492
00:29:15,800 --> 00:29:19,440
Speaker 1: Or Jefferson, Plato, Churchill, Benjamin Franklin. I think I'd agree

493
00:29:19,480 --> 00:29:25,479
Speaker 1: with that one. Shakespeare, Sir Francis Drake, Michael Faraday, Chuck Darwin,

494
00:29:26,960 --> 00:29:31,000
Speaker 1: Renee de Descartes or is it desplaine deplane des plane,

495
00:29:33,280 --> 00:29:36,120
Speaker 1: Gary Cass casper Off and I think Bobby Fisher was

496
00:29:36,200 --> 00:29:39,480
Speaker 1: on their both chess champions. I don't know, they're they're

497
00:29:39,520 --> 00:29:44,240
Speaker 1: considered geniuses. It's all subjective that it is completely subjective.

498
00:29:44,240 --> 00:29:48,840
Speaker 1: I think we're gonna end this with this observation. Genius

499
00:29:49,280 --> 00:29:53,000
Speaker 1: is like pornography. It's impossible to fully define, but we

500
00:29:53,160 --> 00:29:56,400
Speaker 1: know when we see it, right, Chuck, who who was that? Uh?

501
00:29:56,520 --> 00:30:02,800
Speaker 1: Suitor Bruce Suitor, Bruce Jenner. If you want to learn

502
00:30:02,880 --> 00:30:05,560
Speaker 1: more about genius, I think there's more than just this article.

503
00:30:05,600 --> 00:30:08,040
Speaker 1: There's a bunch of good genius articles on the site

504
00:30:08,080 --> 00:30:10,200
Speaker 1: at how stuffworks dot com. And there's also a bunch

505
00:30:10,200 --> 00:30:13,840
Speaker 1: of articles on the people that we've mentioned, because we're

506
00:30:13,880 --> 00:30:15,680
Speaker 1: doing a whole new series on painters. Right, yeah, we

507
00:30:15,760 --> 00:30:19,800
Speaker 1: are at Cosso and Van Gogh. You can type it

508
00:30:19,840 --> 00:30:22,280
Speaker 1: in the handy search bar. Of course, since I said that,

509
00:30:22,400 --> 00:30:27,560
Speaker 1: it means it's time for listener and mail Chuck first

510
00:30:28,000 --> 00:30:33,080
Speaker 1: before we do anything. Before anything, yes, let's uh, we

511
00:30:33,160 --> 00:30:36,120
Speaker 1: get we should probably plug our new Facebook page. We

512
00:30:36,240 --> 00:30:38,400
Speaker 1: were on Facebook for a while. This is nothing new

513
00:30:38,480 --> 00:30:42,560
Speaker 1: to us, but we streamlined our stuff. We had a

514
00:30:42,720 --> 00:30:46,080
Speaker 1: fan page and a regular page and it was also strange,

515
00:30:46,160 --> 00:30:49,959
Speaker 1: so we consolidated and we're actually active on Facebook now.

516
00:30:50,200 --> 00:30:54,240
Speaker 1: Yes we are, um, so, yes we are. We have

517
00:30:54,480 --> 00:30:58,240
Speaker 1: a our brand new Facebook page is stuff you should know.

518
00:30:58,600 --> 00:31:02,000
Speaker 1: Just type that into the handy search part Facebook or

519
00:31:02,040 --> 00:31:04,440
Speaker 1: I think it's Facebook dot com slash stuff you should know.

520
00:31:04,560 --> 00:31:08,880
Speaker 1: Maybe I'm not positive. Fine, And also, buddy, we're tweeting.

521
00:31:09,120 --> 00:31:13,520
Speaker 1: You are tweeting, tweeted twice. Yeah, and your tweeting, I know,

522
00:31:13,640 --> 00:31:16,240
Speaker 1: I feel like a modern child. All right. If you

523
00:31:16,280 --> 00:31:19,120
Speaker 1: want to follow us on Twitter, we have our Twitter

524
00:31:19,320 --> 00:31:23,200
Speaker 1: name as s y s K podcast right, yeah, so

525
00:31:23,320 --> 00:31:25,720
Speaker 1: that would be at and the how they do it. Yeah,

526
00:31:25,800 --> 00:31:28,360
Speaker 1: look at you guys, y ESK podcast and we'll be

527
00:31:28,440 --> 00:31:31,560
Speaker 1: saying funny things as well as uh sending out links

528
00:31:31,600 --> 00:31:34,480
Speaker 1: to cool stuff. And you know we're active now, that

529
00:31:34,640 --> 00:31:36,960
Speaker 1: is true. So check us out, will you yes on

530
00:31:37,120 --> 00:31:40,200
Speaker 1: on the show? Yes? All right, Josh, listener mail. For

531
00:31:40,360 --> 00:31:43,080
Speaker 1: goodness sakes, listener mail, I'm gonna read a couple of

532
00:31:43,240 --> 00:31:47,880
Speaker 1: quickies here from a young boy named Sam and from

533
00:31:47,920 --> 00:31:51,520
Speaker 1: a trucker name and net. And it took us to task.

534
00:31:52,040 --> 00:31:55,080
Speaker 1: Oh no, over what I will read it first? And

535
00:31:55,160 --> 00:31:59,880
Speaker 1: that says u Hi chucking Josh. I am a oh

536
00:32:00,040 --> 00:32:03,480
Speaker 1: for the road truck driver and love your podcast over

537
00:32:03,600 --> 00:32:05,800
Speaker 1: the road. That's what she says. I would love for

538
00:32:05,880 --> 00:32:08,040
Speaker 1: you guys to come along with me into the twenty

539
00:32:08,120 --> 00:32:11,560
Speaker 1: one century. Regarding truck drivers, I've been driving for almost

540
00:32:11,600 --> 00:32:14,200
Speaker 1: thirteen years, and guess what, I'm a woman. In fact,

541
00:32:15,120 --> 00:32:19,080
Speaker 1: I have two sons. Y'all's age when you talk about

542
00:32:19,120 --> 00:32:21,600
Speaker 1: truck drivers is in the McDonald's podcast. You always talk

543
00:32:21,640 --> 00:32:24,520
Speaker 1: about big, burly guys. Well, I may be big and

544
00:32:24,600 --> 00:32:27,960
Speaker 1: probably more surly than Burley, but I'm definitely not a guy.

545
00:32:28,080 --> 00:32:31,160
Speaker 1: Don't forget us, lady drivers, love love love the show,

546
00:32:31,280 --> 00:32:33,960
Speaker 1: so and how could we forget? I mean large Marge

547
00:32:34,080 --> 00:32:37,720
Speaker 1: was a huge factor. Yeah, J's big adventure and that

548
00:32:37,800 --> 00:32:39,640
Speaker 1: was a net. That was a net, and I told

549
00:32:39,640 --> 00:32:41,719
Speaker 1: her that I would read this as our penance a net.

550
00:32:42,200 --> 00:32:45,480
Speaker 1: I'm making the blow your horn signed for the tractor trailer.

551
00:32:45,520 --> 00:32:48,120
Speaker 1: So if you're hearing this right now to your horn, awesome.

552
00:32:48,920 --> 00:32:51,280
Speaker 1: I hope she didn't just cause an accident. This is

553
00:32:51,320 --> 00:32:53,440
Speaker 1: from Sam, and Sam is just another a cute little kid,

554
00:32:53,440 --> 00:32:57,080
Speaker 1: and I like these. I saw that that's a caps. Yeah, Hi,

555
00:32:57,320 --> 00:33:00,520
Speaker 1: Chuck and Josh. I'm Sam blank be because I'm using

556
00:33:00,560 --> 00:33:03,240
Speaker 1: your last name substitute. I'm eleven years old. You guys

557
00:33:03,400 --> 00:33:06,120
Speaker 1: helped me get through many boring tasks like dog poop

558
00:33:06,200 --> 00:33:09,800
Speaker 1: pick up my least favorite chore. I think it's mine too.

559
00:33:09,840 --> 00:33:12,160
Speaker 1: Actually that in the cat box I just stopped as

560
00:33:12,160 --> 00:33:15,480
Speaker 1: an adult, I don't pick up. You just don't go

561
00:33:15,520 --> 00:33:18,480
Speaker 1: into the yard. I just watch where I'm walking in

562
00:33:18,560 --> 00:33:21,520
Speaker 1: the yard. Okay. I think the funniest podcast was the

563
00:33:21,560 --> 00:33:24,360
Speaker 1: Twinkie podcast. You guys make me laugh in my bed

564
00:33:24,480 --> 00:33:28,160
Speaker 1: when I listen. Also in the supermarket, so he listens

565
00:33:28,160 --> 00:33:30,040
Speaker 1: when he goes to sleep and when he's grocery shopping,

566
00:33:30,960 --> 00:33:33,080
Speaker 1: or I guess when his mom's grocery shopping, or dad

567
00:33:34,040 --> 00:33:37,080
Speaker 1: or two dad's. I don't know. Kids today are pretty independent. Yeah,

568
00:33:37,120 --> 00:33:40,360
Speaker 1: you're right. I think you guys are the funniest people

569
00:33:40,360 --> 00:33:44,160
Speaker 1: in the world. I have a few suggestions, like what

570
00:33:45,200 --> 00:33:49,440
Speaker 1: dues cat Got your Tongue mean? And other phrases means

571
00:33:51,000 --> 00:33:55,440
Speaker 1: improper English? I do. Also, Riot Control really cracked me up.

572
00:33:55,840 --> 00:33:57,720
Speaker 1: Does an eleven year old kid know what riot control is?

573
00:33:58,080 --> 00:34:00,239
Speaker 1: And legos? So he wants to know about I Got

574
00:34:00,280 --> 00:34:04,560
Speaker 1: your Tongue? Legos and riot control and trading cards and football?

575
00:34:05,400 --> 00:34:07,480
Speaker 1: So could you please please read my shout out on

576
00:34:07,560 --> 00:34:09,880
Speaker 1: the air, And here's my shout out, and this is

577
00:34:09,880 --> 00:34:12,799
Speaker 1: an all caps. I told you mom, I would get

578
00:34:12,880 --> 00:34:15,560
Speaker 1: my email read on air. Ha ha ha ha ha ha.

579
00:34:17,480 --> 00:34:19,319
Speaker 1: So that's from Sam w And he said, I thought

580
00:34:19,400 --> 00:34:21,840
Speaker 1: Josh looked like Chuck and Chuck looked like Josh, but

581
00:34:21,960 --> 00:34:25,160
Speaker 1: that changed when I saw your pictures on the site. Yeah,

582
00:34:25,200 --> 00:34:27,640
Speaker 1: we get that a lot. Yeah, we're well, not that

583
00:34:27,719 --> 00:34:28,920
Speaker 1: I look like you and you look like me, but

584
00:34:29,000 --> 00:34:31,680
Speaker 1: that we look like different people. Okay, that's always a case.

585
00:34:31,760 --> 00:34:34,640
Speaker 1: With the voice. I'm much uglier than you would think.

586
00:34:34,680 --> 00:34:37,160
Speaker 1: That is not true. You are a lovely, handsome man.

587
00:34:37,320 --> 00:34:40,520
Speaker 1: Thank you all right? Well, thanks Sam, keep on shopping

588
00:34:40,760 --> 00:34:43,040
Speaker 1: and the net keep on trucking. If you have an

589
00:34:43,080 --> 00:34:45,520
Speaker 1: interesting email that you want to roll the dice and

590
00:34:45,560 --> 00:34:47,719
Speaker 1: see if we'll read it on the air. Cost you

591
00:34:47,960 --> 00:34:50,560
Speaker 1: nothing in this digital age, you can send us an

592
00:34:50,600 --> 00:34:56,200
Speaker 1: electronic mail. Just address it to stuff podcast at how

593
00:34:56,320 --> 00:35:02,759
Speaker 1: stuff works dot com. M For more on this and

594
00:35:02,840 --> 00:35:05,640
Speaker 1: thousands of other topics, visit how stuff works dot com.

595
00:35:06,520 --> 00:35:09,239
Speaker 1: Want more how stuff works, check out our blogs on

596
00:35:09,360 --> 00:35:14,360
Speaker 1: the how stuff works dot com home page. Brought to

597
00:35:14,400 --> 00:35:17,480
Speaker 1: you by the reinvented two thousand twelve camera. It's ready,

598
00:35:17,719 --> 00:35:17,960
Speaker 1: are you