1 00:00:01,440 --> 00:00:09,160 Speaker 1: Welcome to Stuff You Should Know, a production of iHeartRadio. 2 00:00:10,760 --> 00:00:13,640 Speaker 2: Hey, and welcome to the podcast. I'm Josh, and there's Chuck, 3 00:00:13,720 --> 00:00:17,160 Speaker 2: and Jerry's here too, timing us, telling us to hurry up, 4 00:00:17,560 --> 00:00:21,560 Speaker 2: scowling at us, even which makes this another average episode 5 00:00:21,600 --> 00:00:26,200 Speaker 2: of Stuff you Should Know. She said, get this in 6 00:00:26,480 --> 00:00:29,560 Speaker 2: forty five minutes on the nose, no more, no less, 7 00:00:29,960 --> 00:00:31,880 Speaker 2: and then she went uh and walked out of the 8 00:00:31,920 --> 00:00:32,960 Speaker 2: room holding a pillow. 9 00:00:34,920 --> 00:00:35,640 Speaker 1: Was that me or Joe? 10 00:00:35,680 --> 00:00:36,280 Speaker 2: That was Jerry? 11 00:00:37,360 --> 00:00:40,880 Speaker 1: Okay, I'm usually the timekeeper. 12 00:00:40,360 --> 00:00:43,400 Speaker 2: Are you? I'd never noticed with your new swatch. 13 00:00:43,560 --> 00:00:46,560 Speaker 1: Yeah. No, I just feel like I'm the one that's 14 00:00:46,600 --> 00:00:48,720 Speaker 1: like forty five minutes and you're like, no, let's make 15 00:00:48,720 --> 00:00:49,440 Speaker 1: it three hours. 16 00:00:50,360 --> 00:00:52,720 Speaker 2: I don't like three hour podcasts, but I also don't 17 00:00:52,760 --> 00:00:55,280 Speaker 2: like living under the clock, which is why I probably 18 00:00:55,320 --> 00:00:58,600 Speaker 2: would not have personally liked Frederick Winslow Taylor. 19 00:00:59,560 --> 00:01:00,960 Speaker 1: Yeah, should we talk about this guy? 20 00:01:01,760 --> 00:01:03,840 Speaker 2: I don't think we have any choice. And by the way, 21 00:01:03,880 --> 00:01:06,840 Speaker 2: this is not a biopic. It's not a biography or 22 00:01:06,880 --> 00:01:10,000 Speaker 2: a profile. It's about a man that you can't not 23 00:01:10,120 --> 00:01:13,240 Speaker 2: talk about. But really this is about his whole system. Okay, 24 00:01:13,600 --> 00:01:14,680 Speaker 2: I just want to make that clear. 25 00:01:15,360 --> 00:01:17,679 Speaker 1: To you use people likely, Well, I don't want to 26 00:01:17,720 --> 00:01:19,440 Speaker 1: hear about that guy. 27 00:01:20,280 --> 00:01:21,720 Speaker 2: Well, ts, you're gonna have to. 28 00:01:22,480 --> 00:01:27,520 Speaker 1: Big thanks to Olivia because she pushed out another banger here, 29 00:01:28,760 --> 00:01:32,319 Speaker 1: thanks in part by this great, great article in The 30 00:01:32,400 --> 00:01:38,600 Speaker 1: New Yorker from Jill Lapour, who Lvia calls a genius, 31 00:01:38,640 --> 00:01:41,200 Speaker 1: absolute genius in fact, is a quote she definitely is 32 00:01:41,520 --> 00:01:44,920 Speaker 1: great article. Anyway, I think the setup that Livia gave 33 00:01:45,040 --> 00:01:47,000 Speaker 1: is kind of worthy of going over a little bit 34 00:01:47,120 --> 00:01:51,279 Speaker 1: because when you look at the you know, nineteen hundred 35 00:01:51,320 --> 00:01:54,800 Speaker 1: through the nineteen twenties and thirties, you looked at in 36 00:01:54,840 --> 00:02:00,640 Speaker 1: America that was really changing in that these huge Industrial 37 00:02:00,760 --> 00:02:05,720 Speaker 1: Revolution born industries where all of a sudden, like, hey, 38 00:02:07,440 --> 00:02:09,840 Speaker 1: now we're kind of corporations and now we have middle 39 00:02:09,880 --> 00:02:12,680 Speaker 1: managers and CEOs and things, and it's a little different 40 00:02:12,720 --> 00:02:14,880 Speaker 1: than it used to be, right, And so we need 41 00:02:14,919 --> 00:02:18,640 Speaker 1: to start kind of really thinking about how to squeeze 42 00:02:18,720 --> 00:02:23,239 Speaker 1: every dime out of this company we can and make 43 00:02:23,320 --> 00:02:28,120 Speaker 1: these workers. We'll call it efficiency, but between us, let's say, 44 00:02:28,560 --> 00:02:31,800 Speaker 1: let's call it working them to the bone until they're 45 00:02:31,840 --> 00:02:34,040 Speaker 1: near exhaustion so we can maximize profits. 46 00:02:34,840 --> 00:02:37,600 Speaker 2: Yeah, and I could just hear our left leaning listeners 47 00:02:37,639 --> 00:02:42,320 Speaker 2: going boo his. But efficiency was not in and of 48 00:02:42,400 --> 00:02:45,560 Speaker 2: itself a naughty word on either side of the political 49 00:02:45,600 --> 00:02:50,320 Speaker 2: spectrum at the time, because you could also hope that 50 00:02:50,600 --> 00:02:55,200 Speaker 2: a more efficient factory, or a more efficient workforce, or 51 00:02:55,200 --> 00:02:59,480 Speaker 2: a more efficient whatever would increase productivity but also give 52 00:02:59,520 --> 00:03:03,040 Speaker 2: workers like more free time and then ideally a larger 53 00:03:03,080 --> 00:03:05,560 Speaker 2: share of the profit in the form of higher wages. 54 00:03:06,000 --> 00:03:08,160 Speaker 1: Right, that's how that works, right exactly. 55 00:03:08,360 --> 00:03:11,600 Speaker 2: I mean, I can't imagine a more naive progressive movement 56 00:03:11,680 --> 00:03:13,840 Speaker 2: than that, But that's exactly what they were hoping for. 57 00:03:13,919 --> 00:03:16,839 Speaker 2: But not just hoping for. They were fighting for, agitating 58 00:03:16,880 --> 00:03:20,040 Speaker 2: for it, doing whatever they could, taking it to the courts. 59 00:03:20,520 --> 00:03:23,040 Speaker 2: Sometimes they were successful, but I think we all know 60 00:03:23,280 --> 00:03:26,600 Speaker 2: spoiler alert, in the long run they lost thus far. 61 00:03:27,480 --> 00:03:29,839 Speaker 1: That's right, and a lot of the work being done 62 00:03:29,880 --> 00:03:33,080 Speaker 1: on efficiency can be laid at the feet of a 63 00:03:33,280 --> 00:03:36,200 Speaker 1: person and then some other people. But initially, at least 64 00:03:36,200 --> 00:03:41,200 Speaker 1: this guy that you mentioned, Frederick Winslow Taylor, who was 65 00:03:41,360 --> 00:03:45,160 Speaker 1: from Philadelphia born in eighteen fifty six, had an attorney 66 00:03:45,200 --> 00:03:48,960 Speaker 1: father an abolitionists mother. It's a very smart guy and 67 00:03:49,120 --> 00:03:52,280 Speaker 1: was all set to take Harvard by storm before his 68 00:03:52,400 --> 00:03:57,000 Speaker 1: eyesight started to fail. Right after that got better. He 69 00:03:57,600 --> 00:03:59,680 Speaker 1: may not have gone to Harvard, but he was still 70 00:03:59,680 --> 00:04:03,440 Speaker 1: a really smart guy and ended up studying engineering at 71 00:04:03,560 --> 00:04:09,720 Speaker 1: night and became a chief engineer for the Enterprise Hydraulic 72 00:04:09,920 --> 00:04:13,400 Speaker 1: Works in Philly and then Midvale Steel Company. 73 00:04:14,120 --> 00:04:16,760 Speaker 2: Yeah, at Midvale Steel Company, that's where he really made 74 00:04:16,800 --> 00:04:19,120 Speaker 2: his name. I think that's where he became the chief engineer. 75 00:04:19,520 --> 00:04:21,840 Speaker 2: And one of the things he did as he was 76 00:04:21,880 --> 00:04:26,400 Speaker 2: working his way up was he was, I guess, out 77 00:04:26,400 --> 00:04:29,839 Speaker 2: of the gate obsessed or at least deeply interested with 78 00:04:29,920 --> 00:04:34,200 Speaker 2: the idea of doing something in the least number of movements, 79 00:04:34,240 --> 00:04:37,440 Speaker 2: the most precise way, the most foolproof way, and that 80 00:04:37,920 --> 00:04:41,919 Speaker 2: if you studied a task closely enough and understood it 81 00:04:41,960 --> 00:04:44,080 Speaker 2: well enough, you could find the most efficient way to 82 00:04:44,160 --> 00:04:47,080 Speaker 2: do it. And so over. Like his twenty six year 83 00:04:47,200 --> 00:04:54,039 Speaker 2: career at Midvale, he conducted more than thirty thousand experiments 84 00:04:54,080 --> 00:04:58,240 Speaker 2: in metal cutting, figuring out which tool went with, which 85 00:04:58,360 --> 00:05:00,960 Speaker 2: motion went with you know, know, how to grab the 86 00:05:01,000 --> 00:05:04,960 Speaker 2: tool the best way. And from that he ended up 87 00:05:04,960 --> 00:05:07,320 Speaker 2: writing a book called on the Art of Cutting Metals 88 00:05:07,320 --> 00:05:10,080 Speaker 2: in nineteen oh seven. And from what I saw for 89 00:05:10,240 --> 00:05:12,640 Speaker 2: years and years, that was considered like a bible in 90 00:05:12,680 --> 00:05:16,360 Speaker 2: the metal cutting industry, and so he definitely put his 91 00:05:16,400 --> 00:05:18,279 Speaker 2: money where his mouth is, and that's how he first 92 00:05:18,360 --> 00:05:21,680 Speaker 2: kind of got into the idea of becoming an efficiency expert. 93 00:05:22,560 --> 00:05:25,000 Speaker 1: Yeah, I think this is a certain kind of brain 94 00:05:26,640 --> 00:05:29,120 Speaker 1: because I am on that spectrum a little bit and 95 00:05:29,360 --> 00:05:33,880 Speaker 1: trying to weed out inefficiencies with certain things. But I'm 96 00:05:33,920 --> 00:05:36,280 Speaker 1: on the side of the spectrum that is also it 97 00:05:36,279 --> 00:05:40,760 Speaker 1: comes from laziness. Oh yeah, so I'll try and do 98 00:05:40,880 --> 00:05:43,479 Speaker 1: that because I'm inherently kind of lazy, I think. So 99 00:05:43,520 --> 00:05:46,120 Speaker 1: I'm like, I look for ways to cut corners to 100 00:05:46,200 --> 00:05:49,000 Speaker 1: still get the job done right. And I've had people 101 00:05:49,040 --> 00:05:52,760 Speaker 1: compliment me in the old days, like on film sets, like, hey, 102 00:05:53,279 --> 00:05:56,280 Speaker 1: you know, I see what you're doing there, and you're 103 00:05:56,279 --> 00:05:59,400 Speaker 1: the kid I would hire twice, whereas the guy next 104 00:05:59,400 --> 00:06:01,400 Speaker 1: to you who's just like, no, man, let's just make 105 00:06:01,400 --> 00:06:03,960 Speaker 1: eight trips and just hump it and do it right. 106 00:06:04,080 --> 00:06:06,160 Speaker 1: He's like, I know, he thinks he's getting it done 107 00:06:06,279 --> 00:06:08,040 Speaker 1: just the old fashioned way. He's like, but you're the 108 00:06:08,080 --> 00:06:10,000 Speaker 1: guy we would hire a second time. 109 00:06:10,560 --> 00:06:12,360 Speaker 2: In your response is like, we'll kind of go home 110 00:06:12,360 --> 00:06:15,360 Speaker 2: early probably, so, but. 111 00:06:15,400 --> 00:06:17,640 Speaker 1: That was always my aim. But it's interesting that, you know, 112 00:06:17,760 --> 00:06:20,159 Speaker 1: I had that a little bit in my brain, but 113 00:06:20,480 --> 00:06:23,120 Speaker 1: not like this guy did. Like he was obsessed with 114 00:06:23,160 --> 00:06:27,440 Speaker 1: efficiencies such that he thought, and he's kind of right 115 00:06:27,480 --> 00:06:30,240 Speaker 1: in some ways that one of the biggest threats to 116 00:06:30,880 --> 00:06:34,480 Speaker 1: getting something done in a productive efficient way was slacking 117 00:06:34,520 --> 00:06:37,400 Speaker 1: off in what he called systematic soldiering. And I kind 118 00:06:37,440 --> 00:06:39,640 Speaker 1: of agree with that to a certain degree. 119 00:06:39,880 --> 00:06:42,960 Speaker 2: Yeah. Remember in our Peter Principal episode, we talked about 120 00:06:43,000 --> 00:06:46,159 Speaker 2: a corollary to that called Parkinson's law, which is like 121 00:06:46,200 --> 00:06:49,040 Speaker 2: a tongue in cheek law that work expanded to fill 122 00:06:49,080 --> 00:06:49,960 Speaker 2: the time allotted. 123 00:06:50,160 --> 00:06:50,360 Speaker 1: Yeah. 124 00:06:50,440 --> 00:06:53,960 Speaker 2: Yeah, So yeah, if you're sitting there like making widgets. 125 00:06:55,000 --> 00:06:57,120 Speaker 2: Sorry to be cliche, but that's what I'm going With 126 00:06:58,680 --> 00:07:01,680 Speaker 2: eight or ten hours a day, You're not going to 127 00:07:01,760 --> 00:07:03,880 Speaker 2: be the most efficient you can be. You're going to 128 00:07:03,920 --> 00:07:08,960 Speaker 2: be about as efficient as as as ambitious as you are. 129 00:07:09,600 --> 00:07:13,320 Speaker 2: Like your ambition how far you want to go is 130 00:07:13,400 --> 00:07:17,040 Speaker 2: basically equaled in some weird ratio to the amount of 131 00:07:17,080 --> 00:07:19,640 Speaker 2: efficiency that you produce at your job. Right, So if 132 00:07:19,640 --> 00:07:22,520 Speaker 2: you're like, I'm happy here, I'm not going to bust 133 00:07:22,560 --> 00:07:26,280 Speaker 2: my hump like that guy to go an extra half 134 00:07:26,360 --> 00:07:28,920 Speaker 2: mile because I'm not going to get anything in return, 135 00:07:29,440 --> 00:07:31,520 Speaker 2: So I'm just going to do my job at a 136 00:07:31,600 --> 00:07:35,440 Speaker 2: pace that I find acceptable and that the people I 137 00:07:35,480 --> 00:07:38,000 Speaker 2: work for find acceptable. And I mean, if you want 138 00:07:38,000 --> 00:07:40,840 Speaker 2: to call that slacking off or being lazy, fine, and 139 00:07:40,960 --> 00:07:44,680 Speaker 2: Frederick Taylor definitely did, But it's also just kind of 140 00:07:44,720 --> 00:07:46,480 Speaker 2: like being a human being, you know. 141 00:07:47,240 --> 00:07:51,320 Speaker 1: Yeah. And to be clear, because I think it seems 142 00:07:51,400 --> 00:07:54,680 Speaker 1: like I might have been mischaracterized here. The film set 143 00:07:54,720 --> 00:07:58,480 Speaker 1: thing was, I wasn't like, let's just do the minimum. 144 00:07:58,560 --> 00:08:02,200 Speaker 1: I was in the situation, in this specific incident where 145 00:08:02,240 --> 00:08:04,720 Speaker 1: I was trying to do a little extra work by 146 00:08:05,840 --> 00:08:10,000 Speaker 1: getting a cart loaded rather than just making a ton 147 00:08:10,040 --> 00:08:13,360 Speaker 1: of trips, and the guys and he was like, now 148 00:08:13,360 --> 00:08:15,480 Speaker 1: I'm mess with getting that cart out. Let's just hump 149 00:08:15,520 --> 00:08:17,880 Speaker 1: all this stuff back and forth. And they were like, 150 00:08:17,960 --> 00:08:21,240 Speaker 1: hey guys, or to me, hey guy, And I said 151 00:08:21,280 --> 00:08:24,400 Speaker 1: my name is Chuck, right, and they said, hey, Chuck, 152 00:08:25,320 --> 00:08:27,200 Speaker 1: you're the guy I would hire twice because you were 153 00:08:27,200 --> 00:08:29,560 Speaker 1: taking the time to do it more efficiently, not like, hey, 154 00:08:29,640 --> 00:08:31,320 Speaker 1: I admire like the lazy side. 155 00:08:31,080 --> 00:08:34,320 Speaker 2: Of you, right, And they appreciated your soft touch with 156 00:08:34,320 --> 00:08:36,160 Speaker 2: the donkey that pulled the cart. 157 00:08:36,080 --> 00:08:38,400 Speaker 1: Right, But it was lazy, and that I didn't want 158 00:08:38,440 --> 00:08:40,560 Speaker 1: to do all those trips. So that's where it initially 159 00:08:40,559 --> 00:08:42,920 Speaker 1: sprang from, was I don't want to have to tote 160 00:08:42,960 --> 00:08:45,600 Speaker 1: all that stuff eight times. Does that make sense? 161 00:08:45,800 --> 00:08:48,560 Speaker 2: Yeah? I think the reason you're man, we're really going 162 00:08:48,640 --> 00:08:50,679 Speaker 2: deep on this. But I think the reason that you're 163 00:08:51,080 --> 00:08:54,560 Speaker 2: feeling mischaracterized is because you're misusing the word lazy. That's 164 00:08:54,600 --> 00:08:58,280 Speaker 2: not lazy. That's what they call work harder or work smarter, 165 00:08:58,400 --> 00:08:58,960 Speaker 2: not harder. 166 00:08:59,520 --> 00:09:01,240 Speaker 1: Yeah, but you only do that if you get a 167 00:09:01,240 --> 00:09:02,600 Speaker 1: little laziness in you. 168 00:09:02,640 --> 00:09:06,079 Speaker 2: No, that's not necessarily true. I think it's just sensible. 169 00:09:06,960 --> 00:09:08,800 Speaker 1: Okay, but I'm also lazy. Then how's that? 170 00:09:09,080 --> 00:09:12,520 Speaker 2: Okay, there you go. But they're not necessarily inextricably tied 171 00:09:12,520 --> 00:09:13,680 Speaker 2: together in that instance. 172 00:09:14,080 --> 00:09:14,440 Speaker 1: Okay. 173 00:09:15,760 --> 00:09:20,760 Speaker 2: Anyway, I don't think what you just describe qualifies as laziness. 174 00:09:20,760 --> 00:09:25,720 Speaker 2: But what Frederick Taylor considered laziness he called something called 175 00:09:25,800 --> 00:09:30,080 Speaker 2: systematic soldiering, which I still can't make heads or tails of. 176 00:09:30,160 --> 00:09:32,040 Speaker 2: It does not make any sense to me, does it 177 00:09:32,080 --> 00:09:32,400 Speaker 2: to you? 178 00:09:33,520 --> 00:09:34,959 Speaker 1: Well? What a soldiering mean? 179 00:09:36,040 --> 00:09:38,080 Speaker 2: I don't know. I mean you're you go off and 180 00:09:38,120 --> 00:09:41,040 Speaker 2: fight battles, or you go and follow orders. I don't know. 181 00:09:41,480 --> 00:09:42,440 Speaker 2: I don't know what he means. 182 00:09:44,120 --> 00:09:45,160 Speaker 1: Did you look up soldiering? 183 00:09:46,440 --> 00:09:51,679 Speaker 2: No? I didn't. I just access to my brain data banks. 184 00:09:52,200 --> 00:09:53,920 Speaker 1: Well I'm gonna look it up. Go ahead, we'll do 185 00:09:54,000 --> 00:09:58,560 Speaker 1: a rare uh a rare look Okay, Well, serve as 186 00:09:58,559 --> 00:10:03,520 Speaker 1: a soldier to aha. Oh well, no, that didn't make 187 00:10:03,520 --> 00:10:07,959 Speaker 1: any sense either, like soldiering on right persevering, Yeah, I 188 00:10:08,000 --> 00:10:10,040 Speaker 1: doesn't make any sense to me officially as. 189 00:10:09,960 --> 00:10:12,600 Speaker 2: Well, it makes no sense because that was his term, 190 00:10:12,760 --> 00:10:14,360 Speaker 2: systematic soldiering. 191 00:10:14,960 --> 00:10:17,640 Speaker 1: I would call it systematic leaning against something. 192 00:10:18,160 --> 00:10:22,080 Speaker 2: Yeah, right, that's what he called slacking off. And like, 193 00:10:22,400 --> 00:10:25,400 Speaker 2: this guy was an aristocrat through and through right. His 194 00:10:25,559 --> 00:10:29,640 Speaker 2: mother's family came over in the early sixteen hundreds, I think, 195 00:10:29,640 --> 00:10:33,120 Speaker 2: to America. So like he was a wealthy, blue blooded 196 00:10:33,880 --> 00:10:38,160 Speaker 2: Quaker boy who because his parents were like do gooders. 197 00:10:38,200 --> 00:10:41,120 Speaker 2: His mom certainly was. She was a suffragette and abolitionist. 198 00:10:42,080 --> 00:10:45,440 Speaker 2: He was raised to care about humanity, but he also 199 00:10:45,600 --> 00:10:49,080 Speaker 2: didn't have that spark of compassion that it takes to 200 00:10:49,120 --> 00:10:52,800 Speaker 2: care about humans individually. So he cared about creating a 201 00:10:52,800 --> 00:10:56,440 Speaker 2: better society for humans, but he couldn't really help but 202 00:10:56,520 --> 00:10:59,080 Speaker 2: look down on other people. He considered lower than him, 203 00:10:59,280 --> 00:11:02,600 Speaker 2: including him. So he did notice things like, you're not 204 00:11:02,640 --> 00:11:05,080 Speaker 2: working as hard as you can. I'm going to see 205 00:11:05,080 --> 00:11:07,600 Speaker 2: to it that you work harder. And he felt totally 206 00:11:07,640 --> 00:11:11,200 Speaker 2: comfortable with filling that role and he actually created that 207 00:11:11,280 --> 00:11:15,320 Speaker 2: role for himself to phill which is pretty remarkable if 208 00:11:15,360 --> 00:11:15,800 Speaker 2: you ask me. 209 00:11:16,440 --> 00:11:20,240 Speaker 1: That's right. So he was at Midvale and he sort 210 00:11:20,240 --> 00:11:23,160 Speaker 1: of started breaking down the operations of the jobs that 211 00:11:23,200 --> 00:11:26,040 Speaker 1: they had there at Midvale and he was like, you know, 212 00:11:26,080 --> 00:11:29,240 Speaker 1: there's some elementary operations that happen here. So we're going 213 00:11:29,320 --> 00:11:31,920 Speaker 1: to form an estimating department where we're going to sit 214 00:11:31,960 --> 00:11:34,719 Speaker 1: around and do time studies, which he got from a 215 00:11:35,040 --> 00:11:38,600 Speaker 1: class at Phillips Exeter, and we're going to time workers 216 00:11:38,600 --> 00:11:40,640 Speaker 1: doing all these little small tasks. We're going to add 217 00:11:40,679 --> 00:11:43,680 Speaker 1: that up to the whole and kind of average it 218 00:11:43,720 --> 00:11:45,800 Speaker 1: out and say, hey, you should be able to do 219 00:11:45,840 --> 00:11:48,359 Speaker 1: this in that amount of time, and we'll adjust accordingly, 220 00:11:48,720 --> 00:11:53,559 Speaker 1: we'll incentivize accordingly. And he said, and you know what else, 221 00:11:53,679 --> 00:11:56,920 Speaker 1: this is now a new career. I'm going to be 222 00:11:57,040 --> 00:12:00,680 Speaker 1: a consulting engineer and management and I'm going to charge 223 00:12:00,720 --> 00:12:03,800 Speaker 1: you to tell you how bad you're doing things. 224 00:12:04,760 --> 00:12:09,000 Speaker 2: Yeah, and so those management companies like KPMG and Mackenzie, 225 00:12:09,720 --> 00:12:14,760 Speaker 2: they would not exist ostensibly had Frederick Taylor not created 226 00:12:14,800 --> 00:12:18,040 Speaker 2: that field. Like that's what he created. These huge, just 227 00:12:18,240 --> 00:12:23,080 Speaker 2: mega world influencing companies came from this guy basically making 228 00:12:23,160 --> 00:12:24,000 Speaker 2: up the profession. 229 00:12:24,720 --> 00:12:26,679 Speaker 1: Yeah, and you know what we should We should give 230 00:12:26,679 --> 00:12:29,280 Speaker 1: a good example here because what he was really most 231 00:12:29,400 --> 00:12:31,720 Speaker 1: or not most well known for, but something he became 232 00:12:31,840 --> 00:12:34,040 Speaker 1: very well known for was his work at Bethlehem Steel. 233 00:12:34,920 --> 00:12:38,640 Speaker 1: And he started looking at the process of loading iron 234 00:12:38,760 --> 00:12:42,760 Speaker 1: onto railcars pig iron, and said, all right, we need 235 00:12:42,760 --> 00:12:45,080 Speaker 1: to figure out how much of this stuff is reasonable 236 00:12:45,559 --> 00:12:48,080 Speaker 1: for one of these men to load onto a railcar. 237 00:12:49,120 --> 00:12:50,920 Speaker 1: The average right now is twelve and a half tons 238 00:12:50,960 --> 00:12:53,000 Speaker 1: a day. So what I'm gonna do is I'm going 239 00:12:53,080 --> 00:12:59,400 Speaker 1: to get ten large, powerful Hungarian workers to and say, 240 00:12:59,440 --> 00:13:02,840 Speaker 1: heyde as much as you can, as fast as you can. 241 00:13:03,240 --> 00:13:05,360 Speaker 1: Sixteen and a half tons is your goal. And they 242 00:13:05,360 --> 00:13:08,079 Speaker 1: did that in fourteen minutes, whereas twelve and a half 243 00:13:08,160 --> 00:13:11,880 Speaker 1: tons was the daily rate for their average worker. So 244 00:13:12,000 --> 00:13:14,280 Speaker 1: that's seventy one tons in a ten hour day. He 245 00:13:14,400 --> 00:13:16,560 Speaker 1: rounds it up to seventy five and then said, yeah, 246 00:13:16,600 --> 00:13:19,120 Speaker 1: but you know what people get tired and they need breaks. 247 00:13:19,400 --> 00:13:24,720 Speaker 1: So let's whack off forty percent of that and we'll 248 00:13:24,760 --> 00:13:26,800 Speaker 1: just make we'll just call it even at forty seven 249 00:13:26,800 --> 00:13:29,040 Speaker 1: and a half tons per day, which is four times 250 00:13:29,080 --> 00:13:31,800 Speaker 1: as much as you've usually been doing. That's that's the 251 00:13:31,840 --> 00:13:32,599 Speaker 1: new expectation. 252 00:13:33,120 --> 00:13:36,080 Speaker 2: Yeah, And that thing about people getting tired he called 253 00:13:36,080 --> 00:13:38,920 Speaker 2: the law of heavy laboring. And from what I can tell, 254 00:13:38,960 --> 00:13:41,920 Speaker 2: he made up that law that I'd put into scare quotes, 255 00:13:42,160 --> 00:13:44,000 Speaker 2: and this is a really good example of what he did. 256 00:13:44,360 --> 00:13:47,440 Speaker 2: Like he was supposed to be precise in finding like 257 00:13:47,679 --> 00:13:52,120 Speaker 2: ultimate efficiency, but he was arbitrarily rounding up and arbitrarily 258 00:13:52,160 --> 00:13:55,240 Speaker 2: coming up with forty percent off based on this law 259 00:13:55,280 --> 00:13:58,160 Speaker 2: that he made up. And now you kind of start 260 00:13:58,200 --> 00:14:01,280 Speaker 2: to get to see like the veil or like the 261 00:14:02,000 --> 00:14:04,600 Speaker 2: meat that's on the bones. I don't know the analogy 262 00:14:04,640 --> 00:14:07,120 Speaker 2: I'm looking for, but you can pull back the curtain, 263 00:14:07,160 --> 00:14:09,720 Speaker 2: that's the one, and see that this stuff is actually 264 00:14:09,840 --> 00:14:13,360 Speaker 2: not what Frederick Taylor cracked it up to be. 265 00:14:14,160 --> 00:14:16,520 Speaker 1: The Great Oz exactly so much. 266 00:14:17,000 --> 00:14:20,000 Speaker 2: Right. It wears no clothes, all right. 267 00:14:20,080 --> 00:14:23,720 Speaker 1: So when this happened, some people said, I ain't doing this. 268 00:14:23,920 --> 00:14:27,760 Speaker 1: They quit, they got fired. Some people tried and couldn't 269 00:14:27,800 --> 00:14:31,160 Speaker 1: do it. Some people were so tired from trying to 270 00:14:31,240 --> 00:14:33,960 Speaker 1: load that much or that they couldn't come back the 271 00:14:34,000 --> 00:14:37,320 Speaker 1: next day, and things got really heated. He needed he 272 00:14:37,440 --> 00:14:39,560 Speaker 1: hired arm guards to walk him home at night. Taylor 273 00:14:39,560 --> 00:14:42,960 Speaker 1: did because he was so worried. And then he said, 274 00:14:42,960 --> 00:14:45,600 Speaker 1: all right, I'm going to create a new fake scenario. 275 00:14:46,360 --> 00:14:48,520 Speaker 1: And this is something that I've seen businesses do that 276 00:14:48,600 --> 00:14:51,640 Speaker 1: I hate when they create, like, you know, here's our 277 00:14:51,640 --> 00:14:55,040 Speaker 1: worker Todd and Todd you know, and it's all just 278 00:14:55,720 --> 00:14:58,760 Speaker 1: made up bs. And that's what he did with Schmidt. 279 00:14:59,680 --> 00:15:02,479 Speaker 2: Here's the thing though, So Schmidt, yes, was a fictional 280 00:15:03,040 --> 00:15:07,640 Speaker 2: invention essentially of Taylor's making. But he went around the 281 00:15:07,680 --> 00:15:11,680 Speaker 2: country giving this this lecture or wrote in his books 282 00:15:11,720 --> 00:15:13,680 Speaker 2: like as if Schmidt this actually. 283 00:15:13,320 --> 00:15:14,800 Speaker 1: Happened about Schmidt. 284 00:15:15,600 --> 00:15:18,960 Speaker 2: Yeah, that was a great movie. I really felt uncomfortable 285 00:15:18,960 --> 00:15:21,600 Speaker 2: when he made a pass at the wife of the 286 00:15:21,600 --> 00:15:24,240 Speaker 2: fiby couple that he met. Other than that, I thought 287 00:15:24,240 --> 00:15:25,080 Speaker 2: it was a great movie. 288 00:15:25,360 --> 00:15:26,640 Speaker 1: Yeah. 289 00:15:26,720 --> 00:15:28,680 Speaker 2: I think at that point that was actually just an 290 00:15:28,720 --> 00:15:31,040 Speaker 2: outtake of Jack Nicholson doing his thing. 291 00:15:32,640 --> 00:15:34,120 Speaker 1: Keep rolling the cameras. This is great. 292 00:15:35,160 --> 00:15:39,320 Speaker 2: So like so he was he put out there that 293 00:15:39,400 --> 00:15:41,920 Speaker 2: the Schmidt character was like a real deal thing, not 294 00:15:42,040 --> 00:15:44,200 Speaker 2: a made up thing, not a made up anecdote to 295 00:15:44,240 --> 00:15:47,560 Speaker 2: prove his point, and he actually did consult at Bethlehem Steel, 296 00:15:47,840 --> 00:15:50,360 Speaker 2: where Schmidt supposedly worked. But the upshot of all of 297 00:15:50,400 --> 00:15:52,920 Speaker 2: it was this, there was this guy named Schmidt who 298 00:15:53,000 --> 00:15:56,480 Speaker 2: was known to work very hard, and he was also 299 00:15:56,560 --> 00:15:59,080 Speaker 2: very motivated by money because he was building his own 300 00:15:59,160 --> 00:16:01,360 Speaker 2: house and he he needed as much money as he 301 00:16:01,400 --> 00:16:03,120 Speaker 2: could get to build said house. 302 00:16:03,440 --> 00:16:05,520 Speaker 1: But not too bright, right, not too bright. 303 00:16:05,600 --> 00:16:09,160 Speaker 2: That's a really important point that Taylor would hammer home 304 00:16:09,320 --> 00:16:12,760 Speaker 2: any chance he got. This guy was sluggish mentally speaking, 305 00:16:12,840 --> 00:16:15,760 Speaker 2: is the way that he put it. But he got 306 00:16:15,800 --> 00:16:18,280 Speaker 2: through to him with a pep talk, whereas essentially he said, 307 00:16:18,320 --> 00:16:21,080 Speaker 2: are you a high priced man? And Schmidt was like, 308 00:16:21,160 --> 00:16:23,920 Speaker 2: I don't know what you're talking about. And when he 309 00:16:23,960 --> 00:16:27,840 Speaker 2: wrote about Schmidt, he replaces w's with VS and stuff, 310 00:16:27,880 --> 00:16:31,920 Speaker 2: and he's a German immigrant. And he said, well, this 311 00:16:32,000 --> 00:16:35,200 Speaker 2: is what a high priced man does. He does everything 312 00:16:35,560 --> 00:16:38,960 Speaker 2: that his manager tells him to do. If your manager 313 00:16:39,000 --> 00:16:41,120 Speaker 2: tells you to pick up that pig iron and take 314 00:16:41,200 --> 00:16:43,760 Speaker 2: six steps and then set it down over there, you 315 00:16:43,840 --> 00:16:46,080 Speaker 2: do that. If your manager tells you to sit down 316 00:16:46,160 --> 00:16:48,800 Speaker 2: and rest for ninety seconds. Then after ninety seconds he 317 00:16:48,840 --> 00:16:50,360 Speaker 2: tells you to get up and then go grab that 318 00:16:50,360 --> 00:16:52,640 Speaker 2: piece of pig iron. You do that too, with no 319 00:16:52,760 --> 00:16:55,920 Speaker 2: backtalk whatsoever. That's a high priced man. 320 00:16:56,560 --> 00:16:58,040 Speaker 1: You want to be a mister big boy pants. 321 00:16:58,440 --> 00:17:02,840 Speaker 2: Exactly. Press men make more money. So we'll give you 322 00:17:02,920 --> 00:17:05,359 Speaker 2: not just the dollar fifteen an hour that you're making, 323 00:17:05,720 --> 00:17:08,320 Speaker 2: we'll give you a dollar eighty five for making this 324 00:17:08,400 --> 00:17:11,359 Speaker 2: forty seven and a half tone quota. And all you 325 00:17:11,440 --> 00:17:14,560 Speaker 2: have to do is do what your manager tells you. 326 00:17:15,080 --> 00:17:17,640 Speaker 2: And this is the other thing that I guess Frederick 327 00:17:17,720 --> 00:17:21,240 Speaker 2: Taylor revolutionized in a way. He divided the workforce into 328 00:17:21,280 --> 00:17:24,280 Speaker 2: two parts, managers who had the brains and did the 329 00:17:24,320 --> 00:17:28,640 Speaker 2: bossing around, and workers who were, according to Taylor, meant 330 00:17:28,640 --> 00:17:32,680 Speaker 2: to do exactly what their managers told them. And if 331 00:17:32,680 --> 00:17:34,680 Speaker 2: you put the two together, you would have the most 332 00:17:34,680 --> 00:17:38,760 Speaker 2: efficient way to say, like load pig iron onto a 333 00:17:38,800 --> 00:17:39,480 Speaker 2: railroad car. 334 00:17:40,080 --> 00:17:44,239 Speaker 1: That's right in this anecdote, who that he, you know, 335 00:17:44,359 --> 00:17:47,080 Speaker 1: sort of reached around as if it were real. He said, 336 00:17:47,119 --> 00:17:49,240 Speaker 1: Then I did this. It works so great. Schmid was 337 00:17:49,280 --> 00:17:52,800 Speaker 1: so happy, and Roland in dough I got all of 338 00:17:52,840 --> 00:17:56,280 Speaker 1: his coworkers to jump aboard because I showed him what 339 00:17:56,320 --> 00:17:59,040 Speaker 1: a mister big boy pants look like, and everybody wanted 340 00:17:59,040 --> 00:18:02,600 Speaker 1: big boy pants and so everybody, as long as you 341 00:18:02,760 --> 00:18:05,359 Speaker 1: just do what your boss says, then you're going to 342 00:18:05,440 --> 00:18:09,360 Speaker 1: make more dough and forget the fact that I'm choosing, 343 00:18:09,480 --> 00:18:13,240 Speaker 1: you know, the very strongest workers to set the standard 344 00:18:13,240 --> 00:18:16,680 Speaker 1: for everyone. And then in nineteen eleven a US House 345 00:18:16,680 --> 00:18:20,560 Speaker 1: committee said, yeah, but we can't just forget that, because 346 00:18:20,600 --> 00:18:23,320 Speaker 1: you can't just pick the strongest worker and say that's 347 00:18:23,359 --> 00:18:27,000 Speaker 1: the standard for everyone. And so he got into a 348 00:18:27,000 --> 00:18:33,040 Speaker 1: bit of a tit for tat in that committee meeting, 349 00:18:33,040 --> 00:18:36,920 Speaker 1: I guess with the chairman, William Ballshop Wilson, and he said, 350 00:18:37,200 --> 00:18:39,840 Speaker 1: you know what about if you don't have big boy 351 00:18:39,880 --> 00:18:42,760 Speaker 1: pants men on your staff and like or all big 352 00:18:42,800 --> 00:18:45,680 Speaker 1: boy pants men. And he said, well, it has no 353 00:18:45,800 --> 00:18:48,560 Speaker 1: place for a bird that can sing but won't. And 354 00:18:48,600 --> 00:18:51,359 Speaker 1: he kind of got smacked down for that because he 355 00:18:51,480 --> 00:18:54,199 Speaker 1: was just lifting lines out of books that he had written. 356 00:18:54,760 --> 00:18:59,159 Speaker 2: Well. Yeah, also, William Wilson said basically like, we're not 357 00:18:59,240 --> 00:19:01,920 Speaker 2: dealing with singing birds. We're dealing with men here who 358 00:19:01,960 --> 00:19:04,960 Speaker 2: are part of society and for whom or for whose 359 00:19:04,960 --> 00:19:09,000 Speaker 2: benefit society is organized, right, so you can't essentially, you 360 00:19:09,040 --> 00:19:13,960 Speaker 2: can't treat people like automatons and drones and robots. You 361 00:19:14,080 --> 00:19:18,080 Speaker 2: have to consider them as human beings. And the lines 362 00:19:18,119 --> 00:19:22,080 Speaker 2: from his book that you mentioned, apparently Jillipoorr reported that 363 00:19:22,520 --> 00:19:26,200 Speaker 2: he did so poorly in this committee hearing that by 364 00:19:26,240 --> 00:19:28,840 Speaker 2: the way, if you want to ever be nervous about 365 00:19:28,840 --> 00:19:31,960 Speaker 2: a committee hearing, you have to go testify at go 366 00:19:32,080 --> 00:19:36,119 Speaker 2: to one that's literally named after you. This was this 367 00:19:36,240 --> 00:19:40,359 Speaker 2: hearing was called the House Committee to Investigate Taylor, not Taylorism, 368 00:19:40,520 --> 00:19:44,679 Speaker 2: Taylor and other systems of shop management. And so he 369 00:19:44,800 --> 00:19:48,240 Speaker 2: actually ordered one of his underlings to go steal William 370 00:19:48,280 --> 00:19:53,560 Speaker 2: Wilson's copy of his book, and I guess didn't wasn't successful, 371 00:19:53,560 --> 00:19:56,399 Speaker 2: and just kind of went ahead with the terrible testimony. 372 00:19:56,440 --> 00:19:58,840 Speaker 2: But as we'll see, he used it to turn bad 373 00:19:58,920 --> 00:20:02,080 Speaker 2: publicity into any publicity, which is good publicity. 374 00:20:02,640 --> 00:20:05,960 Speaker 1: That's right. The long inshort with Bethlehem Steele, at least 375 00:20:06,000 --> 00:20:09,720 Speaker 1: was that they fired him. They quit the tailor's and 376 00:20:09,760 --> 00:20:12,040 Speaker 1: methods that he had brought in, and he said, all right, 377 00:20:12,080 --> 00:20:14,120 Speaker 1: pay me one hundred thousand dollars and we'll call it even, 378 00:20:14,880 --> 00:20:16,919 Speaker 1: which is about three and a half million bucks today, 379 00:20:18,280 --> 00:20:20,760 Speaker 1: and that's probably a good time for a break, eh, agreed. 380 00:20:21,240 --> 00:20:23,359 Speaker 1: All right, we'll come back and move on from Taylor 381 00:20:23,440 --> 00:20:26,199 Speaker 1: for a moment to talk about the Gilbreaths right after this. 382 00:20:48,000 --> 00:20:49,880 Speaker 2: Okay, Chuck, you mentioned that we're going to talk about 383 00:20:49,880 --> 00:20:52,720 Speaker 2: the Gilbreaths, So I say we do that. Now. We're 384 00:20:52,760 --> 00:20:56,760 Speaker 2: talking about Frank and Lillian Gilbreath, and anyone who has 385 00:20:56,800 --> 00:20:59,480 Speaker 2: ever read the book or seen the movie or the 386 00:20:59,520 --> 00:21:02,800 Speaker 2: remake Cheaper by the Dozen, this is the family that 387 00:21:02,800 --> 00:21:06,440 Speaker 2: that movie and that book were based on. Frank, Lily 388 00:21:06,520 --> 00:21:10,840 Speaker 2: and Gilbreath were one of the more amazing interesting couples 389 00:21:10,920 --> 00:21:12,640 Speaker 2: that came out of the twentieth century. 390 00:21:13,400 --> 00:21:16,560 Speaker 1: Yeah, for sure. And two of their kids wrote that 391 00:21:16,680 --> 00:21:21,240 Speaker 1: book in nineteen forty eight, and you know, it was fun. 392 00:21:21,240 --> 00:21:22,359 Speaker 1: It's a classic for a reason. 393 00:21:22,359 --> 00:21:25,800 Speaker 2: They remade it for a reason, for sure, to make money. 394 00:21:28,160 --> 00:21:31,680 Speaker 1: Frank was a bricklayer in his earlier life, and he 395 00:21:31,800 --> 00:21:36,439 Speaker 1: was one of these people that thought, including too but 396 00:21:36,480 --> 00:21:38,880 Speaker 1: not limited to cat skinning, that there was one best 397 00:21:38,880 --> 00:21:42,239 Speaker 1: way to do any task. And so he was one 398 00:21:42,320 --> 00:21:44,840 Speaker 1: of those guys where he was like, hey, that scaffold 399 00:21:44,880 --> 00:21:46,560 Speaker 1: for laying bricks is kind of great, But what if 400 00:21:46,600 --> 00:21:49,399 Speaker 1: there was a shelf on the scaffold for those bricks 401 00:21:49,400 --> 00:21:51,480 Speaker 1: and mortar. You don't got to bend over and pick 402 00:21:51,520 --> 00:21:53,840 Speaker 1: that stuff up. And what if you had some really 403 00:21:53,840 --> 00:21:56,840 Speaker 1: low paid laborers that would stack the bricks on the 404 00:21:56,880 --> 00:22:00,280 Speaker 1: frames for them, positioned in the right direction so they 405 00:22:00,280 --> 00:22:03,000 Speaker 1: don't even have to turn the bricks. Like really drilling 406 00:22:03,040 --> 00:22:04,320 Speaker 1: down on these efficiencies. 407 00:22:04,640 --> 00:22:06,760 Speaker 2: Yeah, and it seems like Frank kind of came up 408 00:22:06,760 --> 00:22:12,119 Speaker 2: with this interest independently of Frederick Taylor, even though he 409 00:22:12,240 --> 00:22:15,840 Speaker 2: and Lillian and Taylor would essentially form kind of a 410 00:22:15,960 --> 00:22:21,880 Speaker 2: cadre of cohorts. I guess, yeah, this is like an 411 00:22:21,880 --> 00:22:25,320 Speaker 2: independent thinks this is an independent. These were two independent 412 00:22:25,320 --> 00:22:29,280 Speaker 2: groups who eventually came together because they helped develop this 413 00:22:29,359 --> 00:22:33,320 Speaker 2: field out of thin air. So what the Gilberts did. 414 00:22:33,720 --> 00:22:37,600 Speaker 2: Lillian and Frank together they formed the Gilbert Inc. A 415 00:22:37,640 --> 00:22:42,360 Speaker 2: management consulting firm. They got really, really in the weeds 416 00:22:42,800 --> 00:22:45,959 Speaker 2: about the movements it took to carry out a task, 417 00:22:46,600 --> 00:22:49,200 Speaker 2: and they figured out that you could break any task 418 00:22:49,280 --> 00:22:54,280 Speaker 2: down into eighteen different kinds of movements. Right, so you're 419 00:22:54,280 --> 00:22:56,960 Speaker 2: not necessarily going to have all eighteen but no matter 420 00:22:57,000 --> 00:22:59,600 Speaker 2: what task you're talking about, it's going to be made 421 00:22:59,680 --> 00:23:03,080 Speaker 2: up of no more than those eighteen specific kind of movements, 422 00:23:03,119 --> 00:23:06,119 Speaker 2: things like I'm searching for an object with your eye, 423 00:23:06,520 --> 00:23:10,320 Speaker 2: grasping an object, reaching for it, disassembling it. And they 424 00:23:10,359 --> 00:23:13,720 Speaker 2: called these things third bligs, which is their name roughly 425 00:23:13,880 --> 00:23:14,879 Speaker 2: spelled backwards. 426 00:23:15,920 --> 00:23:21,240 Speaker 1: Do you think when they met Taylor initially they were 427 00:23:21,280 --> 00:23:24,119 Speaker 1: just like, oh my god, you're into efficiency, and so 428 00:23:24,240 --> 00:23:26,760 Speaker 1: are we. And Taylor said, I think you mean a 429 00:23:26,880 --> 00:23:30,320 Speaker 1: fish and they just like fainted. 430 00:23:30,520 --> 00:23:33,120 Speaker 2: Yeah, I think they're right. They're like, you're our guy. 431 00:23:34,480 --> 00:23:36,880 Speaker 1: Uh yeah. Third bligs. So they were also big into 432 00:23:37,000 --> 00:23:41,439 Speaker 1: rich hall and sniglets. Uh not to date myself, but 433 00:23:41,600 --> 00:23:43,399 Speaker 1: uh yeah. They made up a word, and they said 434 00:23:43,800 --> 00:23:46,720 Speaker 1: any action you can take is a third blig, and 435 00:23:46,840 --> 00:23:49,200 Speaker 1: we want to get rid of as many third bligs 436 00:23:49,560 --> 00:23:53,480 Speaker 1: as possible to make efficiency the most, to maximize it 437 00:23:53,520 --> 00:23:54,800 Speaker 1: as much as one possibly can. 438 00:23:55,119 --> 00:23:57,240 Speaker 2: Yeah, and to do that so they would use their kids. 439 00:23:57,240 --> 00:23:59,880 Speaker 2: They ended up having a dozen kids, eleven of whom 440 00:24:00,080 --> 00:24:02,520 Speaker 2: made it to adulthood. One of them died at age 441 00:24:02,560 --> 00:24:06,159 Speaker 2: five of diphtheria. Sadly, and I don't know how, but 442 00:24:06,240 --> 00:24:09,320 Speaker 2: they planned to have six boys and six girls, and 443 00:24:09,359 --> 00:24:12,000 Speaker 2: I think they were successful at that. No idea how 444 00:24:12,000 --> 00:24:14,159 Speaker 2: they did that, because we're talking about the beginning of 445 00:24:14,200 --> 00:24:15,200 Speaker 2: the twentieth century. 446 00:24:15,440 --> 00:24:18,960 Speaker 1: It's called luck. Okay, there is no way to do that. 447 00:24:19,920 --> 00:24:23,840 Speaker 2: And they decided to raise their kids in the under 448 00:24:23,880 --> 00:24:28,399 Speaker 2: these principles of efficiency. But they weren't weirdo clinical types, 449 00:24:28,440 --> 00:24:31,200 Speaker 2: like this was a tight, cool family. Like the kids 450 00:24:31,200 --> 00:24:35,160 Speaker 2: were participatory, Like they would have family meetings and each 451 00:24:35,240 --> 00:24:37,359 Speaker 2: kid had a vote, and so they would have a 452 00:24:37,400 --> 00:24:39,600 Speaker 2: family meeting and someone would put forward a motion like 453 00:24:39,680 --> 00:24:41,879 Speaker 2: I say, we get a dog, and someone would second it, 454 00:24:42,080 --> 00:24:44,040 Speaker 2: and then they put it to a vote, and then 455 00:24:44,080 --> 00:24:45,800 Speaker 2: you know, the eyes had it. So they ended up 456 00:24:45,840 --> 00:24:48,399 Speaker 2: getting a dog they named mister Chairman. Like that was 457 00:24:48,440 --> 00:24:52,240 Speaker 2: how they ran their family. But they were all very 458 00:24:52,280 --> 00:24:56,280 Speaker 2: focused on efficiency because they were obsessed with it, but 459 00:24:56,400 --> 00:25:01,800 Speaker 2: not in a dileterious way or a deletrious way. They 460 00:25:02,320 --> 00:25:06,320 Speaker 2: were I guess the best way to put it is 461 00:25:06,359 --> 00:25:09,720 Speaker 2: Lilian was searching for the most efficient way to do 462 00:25:09,760 --> 00:25:12,040 Speaker 2: something so that you have more free time to go 463 00:25:12,080 --> 00:25:14,520 Speaker 2: do happy things, she said, So it can increase your 464 00:25:14,560 --> 00:25:18,280 Speaker 2: happiness minutes essentially. So it was a really different viewpoint 465 00:25:18,359 --> 00:25:22,040 Speaker 2: of the same thing compared to Frederick Taylor. 466 00:25:22,840 --> 00:25:25,240 Speaker 1: Yeah, I mean Taylor you kind of talked about a 467 00:25:25,280 --> 00:25:27,600 Speaker 1: little bit early on, but he did think it was 468 00:25:27,640 --> 00:25:29,320 Speaker 1: a win win. He was like, this is great because 469 00:25:29,359 --> 00:25:33,760 Speaker 1: it'll run more efficiently and you know, it'll trickle down essentially. 470 00:25:33,760 --> 00:25:36,040 Speaker 1: They didn't call it that yet, but that's sort of 471 00:25:36,040 --> 00:25:38,320 Speaker 1: the same notion that like it'll just trickle down to 472 00:25:38,359 --> 00:25:41,200 Speaker 1: the worker all this efficiency and they'll get better wages 473 00:25:41,280 --> 00:25:43,359 Speaker 1: and stuff will be cheaper and stuff like that, Like 474 00:25:43,440 --> 00:25:46,320 Speaker 1: management will never ever take advantage of that and make 475 00:25:46,359 --> 00:25:49,639 Speaker 1: you work harder just to increase profits exactly, And of 476 00:25:49,640 --> 00:25:55,320 Speaker 1: course that's exactly what happened in every case. But I don't, like, 477 00:25:55,680 --> 00:25:58,239 Speaker 1: I'm kind of wondering about Taylor's heart and like what 478 00:25:58,359 --> 00:25:59,080 Speaker 1: was in there? You know? 479 00:26:00,160 --> 00:26:03,439 Speaker 2: Yeah, yeah, I think I explained it already. I'm sticking 480 00:26:03,480 --> 00:26:04,200 Speaker 2: with my idea. 481 00:26:04,600 --> 00:26:06,359 Speaker 1: I don't know. I think he's one of those guys 482 00:26:06,400 --> 00:26:11,399 Speaker 1: that was so brain obsessed on efficiency. I don't know 483 00:26:11,480 --> 00:26:14,320 Speaker 1: that he had like I don't know if he thought 484 00:26:14,359 --> 00:26:16,879 Speaker 1: that part through such that he was like some evil 485 00:26:16,920 --> 00:26:19,639 Speaker 1: person set out to exploit a worker. 486 00:26:20,440 --> 00:26:23,960 Speaker 2: No, I don't think he was evil. I don't think 487 00:26:24,000 --> 00:26:27,480 Speaker 2: that he set out to exploit workers. But I think 488 00:26:27,680 --> 00:26:30,680 Speaker 2: even after he saw what his invention was being used for, 489 00:26:30,800 --> 00:26:34,000 Speaker 2: he was indifferent to that, and that says volumes about him. 490 00:26:34,359 --> 00:26:37,000 Speaker 2: He never denounced it, he never called people out for 491 00:26:37,119 --> 00:26:40,800 Speaker 2: misusing it, and he actually helped foster it's misused to 492 00:26:40,920 --> 00:26:44,199 Speaker 2: exploit workers. So I think he was a bit of 493 00:26:44,200 --> 00:26:47,879 Speaker 2: a misanthroat, not evil, and that wasn't ever his intention 494 00:26:47,960 --> 00:26:50,679 Speaker 2: to be evil. But when it turned kind of evil, 495 00:26:51,080 --> 00:26:53,520 Speaker 2: he was he was like, sure, let's keep going if 496 00:26:53,520 --> 00:26:54,720 Speaker 2: you guys are giving me money. 497 00:26:55,720 --> 00:26:58,439 Speaker 1: I wonder if he might have been in an age 498 00:26:58,960 --> 00:27:02,600 Speaker 1: where there weren't certain diagnoses available for what he, you know, 499 00:27:03,000 --> 00:27:03,880 Speaker 1: may have had going on. 500 00:27:04,080 --> 00:27:07,679 Speaker 2: Yeah, maybe, for sure. I mean it's possible. I think 501 00:27:07,800 --> 00:27:11,480 Speaker 2: that we're barreling toward a future where every single person 502 00:27:11,600 --> 00:27:13,600 Speaker 2: has a diagnosis of some sort or another. 503 00:27:15,200 --> 00:27:15,960 Speaker 1: Yeah. Maybe. 504 00:27:16,119 --> 00:27:17,600 Speaker 2: Yeah, it'll be interesting. 505 00:27:17,640 --> 00:27:19,760 Speaker 1: You mean, like there's no perfect person and everyone has 506 00:27:20,000 --> 00:27:21,720 Speaker 1: an issue that they're dealing with. 507 00:27:22,200 --> 00:27:24,480 Speaker 2: Yeah, yeah, for sure. And I think we already know that, 508 00:27:24,840 --> 00:27:27,000 Speaker 2: but we haven't. We haven't come up with a label 509 00:27:27,000 --> 00:27:28,960 Speaker 2: for every single one of those tests of issues that 510 00:27:29,000 --> 00:27:31,240 Speaker 2: people are working with. That's the difference that I'm talking about. 511 00:27:31,760 --> 00:27:33,760 Speaker 1: Yeah, Yeah, for sure. I don't know. I think sometimes 512 00:27:33,800 --> 00:27:34,840 Speaker 1: that thing empowers people. 513 00:27:35,760 --> 00:27:37,919 Speaker 2: I agree. I don't think. I'm not saying there's anything 514 00:27:37,920 --> 00:27:40,080 Speaker 2: wrong with it. I'm just entanted to see like where 515 00:27:40,119 --> 00:27:43,560 Speaker 2: we're going. Yeah, but yes, I agree, But we've in 516 00:27:43,720 --> 00:27:46,399 Speaker 2: large part of the society scuttled the idea of the 517 00:27:46,520 --> 00:27:49,560 Speaker 2: uber minch and Nietzsche is very unhappy about that. 518 00:27:50,560 --> 00:27:55,040 Speaker 1: Yeah, you know what Nietzsche can do. What I'll tell 519 00:27:55,119 --> 00:28:00,320 Speaker 1: y'all fair, Okay. Ironically, though, it was a Supreme Court 520 00:28:00,480 --> 00:28:02,560 Speaker 1: justice who we've talked about I feel like quite a 521 00:28:02,600 --> 00:28:06,000 Speaker 1: bit on the show, who kind of bumped Tailor up 522 00:28:06,040 --> 00:28:09,600 Speaker 1: to celebrity status. Yeah, how did we pronounce his name 523 00:28:09,640 --> 00:28:11,199 Speaker 1: the first twenty five times we said it? 524 00:28:11,200 --> 00:28:15,600 Speaker 2: It's brand Ice. Okay, that sounds right like light ice, 525 00:28:15,840 --> 00:28:17,320 Speaker 2: but a little different. 526 00:28:17,560 --> 00:28:20,080 Speaker 1: Right like bud Ice. 527 00:28:20,359 --> 00:28:23,440 Speaker 2: Yeah, didn't Miller Light have an ice too? Didn't everybody 528 00:28:23,440 --> 00:28:24,160 Speaker 2: have an ice for a. 529 00:28:24,080 --> 00:28:25,800 Speaker 1: While light Ice? I don't know. 530 00:28:26,440 --> 00:28:29,159 Speaker 2: Oh, I screwed it up then because I should have 531 00:28:29,200 --> 00:28:31,880 Speaker 2: said bud Ice. But yeah, that's what I was going for. 532 00:28:32,040 --> 00:28:33,879 Speaker 2: I know Milwaukee's best had an ice. 533 00:28:34,600 --> 00:28:36,400 Speaker 1: What does it deal with that ice brewed? What even 534 00:28:36,520 --> 00:28:36,679 Speaker 1: was that? 535 00:28:36,840 --> 00:28:40,240 Speaker 2: I think it got you tanked faster. Really, yeah, I 536 00:28:40,240 --> 00:28:43,360 Speaker 2: think it had something that it messed with the alcohol 537 00:28:43,480 --> 00:28:46,040 Speaker 2: content or the way it was delivered or something like that. 538 00:28:46,560 --> 00:28:49,920 Speaker 1: So you had to drink seventeen Miller lits instead of fourteen. 539 00:28:50,040 --> 00:28:52,880 Speaker 2: Right, exactly, No, the opposite, you had to drink twelve 540 00:28:52,960 --> 00:28:53,760 Speaker 2: instead of fourteen. 541 00:28:54,200 --> 00:28:57,200 Speaker 1: Okay, all right. Anyway back to nineteen ten, brand Ice 542 00:28:58,440 --> 00:29:02,640 Speaker 1: Lewis brand Ice, Supreme Court Justice, called a meeting with 543 00:29:02,720 --> 00:29:05,680 Speaker 1: the Gilbreaths and the tailor Rights. Taylor couldn't come, but 544 00:29:05,760 --> 00:29:08,920 Speaker 1: he sent his representatives and said, I want to talk 545 00:29:08,920 --> 00:29:12,760 Speaker 1: about what I'm calling scientific management. And I am concerned 546 00:29:12,760 --> 00:29:15,560 Speaker 1: because I see what's happening with big business and I 547 00:29:15,600 --> 00:29:17,240 Speaker 1: think it's getting out of hand. I want to break 548 00:29:17,280 --> 00:29:19,720 Speaker 1: up these monopolies, and I think the consumer and the 549 00:29:19,760 --> 00:29:24,160 Speaker 1: workers should be served. And I think I called one 550 00:29:24,200 --> 00:29:26,640 Speaker 1: couple here who's probably interested in that, and another group 551 00:29:26,680 --> 00:29:28,680 Speaker 1: of people who sounds like they probably aren't. 552 00:29:28,920 --> 00:29:32,800 Speaker 2: Yeah. And Brandeis is ironic because he was died in 553 00:29:32,840 --> 00:29:35,000 Speaker 2: the world progressive. Like you said, he was worried about 554 00:29:35,000 --> 00:29:38,000 Speaker 2: big business, and so the idea that he's the one 555 00:29:38,080 --> 00:29:43,000 Speaker 2: that made this concept that's historically viewed as exploitive of 556 00:29:43,080 --> 00:29:46,880 Speaker 2: workers famous and like introduced to the world and essentially 557 00:29:46,880 --> 00:29:51,160 Speaker 2: gave it it's like breakout moment. It's just terribly ironic. 558 00:29:51,200 --> 00:29:54,640 Speaker 2: But the whole basis of that is that he was 559 00:29:54,800 --> 00:29:58,040 Speaker 2: arguing before the Interstate Commerce Commission, which was holding hearings 560 00:29:58,280 --> 00:30:01,960 Speaker 2: on railroad rate hikes. The railroad said stuff getting expensive. 561 00:30:02,200 --> 00:30:05,800 Speaker 2: We need to increase the prices that we charged to 562 00:30:06,040 --> 00:30:08,400 Speaker 2: carry freight to move freight, and of course that has 563 00:30:08,480 --> 00:30:11,440 Speaker 2: cascading effects all throughout society, and prices we're going to 564 00:30:11,480 --> 00:30:14,880 Speaker 2: go up, and Brandeis represented a bunch of companies that 565 00:30:14,920 --> 00:30:17,840 Speaker 2: we're gonna have to pay those increased rates. And Brandeis's 566 00:30:17,920 --> 00:30:21,120 Speaker 2: argument was that the railroad companies don't need to raise 567 00:30:21,320 --> 00:30:24,200 Speaker 2: their rates, they need to get more efficient. And here's 568 00:30:24,240 --> 00:30:26,280 Speaker 2: how they can do it. This guy named Taylor has 569 00:30:26,280 --> 00:30:30,120 Speaker 2: figured out a scientific way of getting more efficient and 570 00:30:30,240 --> 00:30:32,520 Speaker 2: that's how they can keep their prices low and still 571 00:30:32,600 --> 00:30:34,760 Speaker 2: keep their profits high. Yeah. 572 00:30:34,800 --> 00:30:36,520 Speaker 1: I know, it's a lot of press coverage on this, 573 00:30:36,800 --> 00:30:39,040 Speaker 1: and this is really what pushed Taylor over the edge 574 00:30:39,040 --> 00:30:41,440 Speaker 1: as far as becoming kind of famous for what he 575 00:30:41,520 --> 00:30:44,280 Speaker 1: was doing. And that is the year, I'm sorry. The 576 00:30:44,280 --> 00:30:46,960 Speaker 1: next year is when he put out The Principles of 577 00:30:47,000 --> 00:30:52,320 Speaker 1: Scientific Management, which was probably easily the biggest business book, 578 00:30:53,200 --> 00:30:55,080 Speaker 1: maybe at the twentieth century, but at least the first 579 00:30:55,080 --> 00:30:56,200 Speaker 1: half of the twentieth century. 580 00:30:56,320 --> 00:30:59,160 Speaker 2: Yeah, for sure. And he was riding on the publicity 581 00:30:59,200 --> 00:31:03,160 Speaker 2: from that inter State Commerce Commission hearing, but also that 582 00:31:03,240 --> 00:31:06,240 Speaker 2: Congressional hearing that came I think later that same year. 583 00:31:07,120 --> 00:31:10,600 Speaker 2: He saw an opportunity to get his name out there, 584 00:31:10,640 --> 00:31:12,440 Speaker 2: even though his name was kind of being dragged through 585 00:31:12,480 --> 00:31:12,880 Speaker 2: the mud. 586 00:31:13,720 --> 00:31:16,480 Speaker 1: That's right. And one thing about Taylorism that we would 587 00:31:16,520 --> 00:31:19,640 Speaker 1: learn soon enough. And I guess Gilbreatheism. Did they even 588 00:31:19,640 --> 00:31:20,720 Speaker 1: call it dot No. 589 00:31:20,920 --> 00:31:23,280 Speaker 2: I don't think so. They weren't. They weren't those types. 590 00:31:23,920 --> 00:31:25,680 Speaker 1: Well, I'm gonna I'm gonna call it that gil Breath. 591 00:31:25,720 --> 00:31:27,800 Speaker 1: Theism was that it didn't have to be kept to 592 00:31:27,840 --> 00:31:33,080 Speaker 1: the workforce because Lily and Gilbreath found herself alone for 593 00:31:33,120 --> 00:31:35,440 Speaker 1: the last forty eight years of her life when Frank 594 00:31:35,520 --> 00:31:38,400 Speaker 1: died a heart attack at the age of fifty five 595 00:31:38,440 --> 00:31:42,360 Speaker 1: in nineteen twenty four, and she said, all right, don't 596 00:31:42,400 --> 00:31:45,680 Speaker 1: tell any money. I'm no homemaker myself, not into it 597 00:31:45,720 --> 00:31:47,720 Speaker 1: at all. I don't even do the cooking in my house. 598 00:31:48,080 --> 00:31:52,680 Speaker 1: But I think I can shift these efficiency ideas to 599 00:31:52,840 --> 00:31:57,080 Speaker 1: the house and make the home place a more efficient 600 00:31:57,120 --> 00:32:00,360 Speaker 1: workplace for getting everything done from like back, came in 601 00:32:00,400 --> 00:32:01,800 Speaker 1: to baking biscuits. 602 00:32:02,200 --> 00:32:04,080 Speaker 2: Yeah, have you ever heard of the work triangle in 603 00:32:04,120 --> 00:32:04,600 Speaker 2: a kitchen? 604 00:32:05,880 --> 00:32:09,040 Speaker 1: Oh yeah, that's a classic kitchen chef thing. 605 00:32:09,280 --> 00:32:11,960 Speaker 2: She came up with that as far as I know, Yeah, 606 00:32:12,200 --> 00:32:14,280 Speaker 2: for those who did not know that, but yeah, but 607 00:32:14,320 --> 00:32:15,920 Speaker 2: for those of you who don't know what it is, 608 00:32:16,040 --> 00:32:18,960 Speaker 2: the kitchen triangle is like the places where you do 609 00:32:19,000 --> 00:32:20,960 Speaker 2: the most work, and so the ideas that they should 610 00:32:21,000 --> 00:32:23,480 Speaker 2: be all within a step or two from one another. 611 00:32:23,560 --> 00:32:27,840 Speaker 2: The sink, the oven, and the ice cream maker. I 612 00:32:27,880 --> 00:32:30,280 Speaker 2: don't remember what the third one is the dishwasher. 613 00:32:31,280 --> 00:32:31,960 Speaker 1: Dishwasher. 614 00:32:32,080 --> 00:32:35,840 Speaker 2: Interesting, I think those are the three today at least. Okay, 615 00:32:36,600 --> 00:32:38,320 Speaker 2: So anyway, she came up with that. If you have 616 00:32:38,360 --> 00:32:42,280 Speaker 2: a kitchen island, you can thank her. I've seen. So. Yeah, 617 00:32:42,280 --> 00:32:44,680 Speaker 2: she's just kind of pivoted because people were finding out 618 00:32:44,720 --> 00:32:47,080 Speaker 2: that there was a woman that ran Gilbert Inc. The 619 00:32:47,120 --> 00:32:51,320 Speaker 2: management consulting firm, and we're just walking away from their 620 00:32:51,360 --> 00:32:54,120 Speaker 2: accounts because it was run by a woman. So she 621 00:32:54,200 --> 00:32:57,040 Speaker 2: had no choice. She had twelve eleven kids to raise, 622 00:32:57,480 --> 00:33:00,320 Speaker 2: and had to provide forms she wanted to set model 623 00:33:00,320 --> 00:33:02,760 Speaker 2: to college. So yeah, she pivoted to home EC. But 624 00:33:02,880 --> 00:33:06,360 Speaker 2: it wasn't just her. It's not like she invented homeck 625 00:33:06,400 --> 00:33:09,440 Speaker 2: out a whole cloth. It was already being developed by 626 00:33:09,520 --> 00:33:12,600 Speaker 2: a very famous or should be famous, a lesbian couple, 627 00:33:12,680 --> 00:33:19,680 Speaker 2: Flora Rose and Martha Van Rensselaer. Yeah Rensselaer, right. 628 00:33:20,520 --> 00:33:22,120 Speaker 1: I have no idea how to pronounce. 629 00:33:21,720 --> 00:33:27,360 Speaker 2: It r e n s s e l a e R. Rentler. Yeah, 630 00:33:27,440 --> 00:33:29,600 Speaker 2: that's what I'm going with. And the reason I specifically 631 00:33:29,680 --> 00:33:33,080 Speaker 2: called them out as a lesbian couple is because they 632 00:33:33,400 --> 00:33:37,080 Speaker 2: were out as a lesbian couple in I believe the 633 00:33:37,160 --> 00:33:40,200 Speaker 2: nineteen twenties or thirties. I had a I mean, you 634 00:33:40,360 --> 00:33:42,440 Speaker 2: just did not do that, and they were like, say something, 635 00:33:43,600 --> 00:33:46,000 Speaker 2: just just bring it, and they were They just went 636 00:33:46,080 --> 00:33:48,719 Speaker 2: unchallenged for their lifetime from what I knew. But they 637 00:33:49,120 --> 00:33:54,640 Speaker 2: they wanted to turn working in the home into something scientific, 638 00:33:54,680 --> 00:33:58,840 Speaker 2: domestic science, which kind of elevated at status as well 639 00:33:58,880 --> 00:34:01,760 Speaker 2: as made things easier for the woman working at the home. 640 00:34:02,560 --> 00:34:05,960 Speaker 1: Yeah, and eventually you could even find Taylorism in public 641 00:34:06,080 --> 00:34:10,120 Speaker 1: public schools. And it's interesting to think of it this way. 642 00:34:10,160 --> 00:34:15,400 Speaker 1: There was a Massachusetts superintendent who told the National Education 643 00:34:15,520 --> 00:34:20,240 Speaker 1: Association that educators needed to analyze the returns of their investment. Rationally, 644 00:34:20,680 --> 00:34:22,759 Speaker 1: we ought to purchase no more Greek instruction at the 645 00:34:22,840 --> 00:34:26,040 Speaker 1: rate of five point nine pupil recitations for a dollar. 646 00:34:26,320 --> 00:34:28,480 Speaker 1: The price must go down, or will she, or we 647 00:34:28,520 --> 00:34:32,239 Speaker 1: shall invest in something else. And it sounds silly, but 648 00:34:32,480 --> 00:34:36,080 Speaker 1: I get that. It just sounds like a funny way 649 00:34:36,080 --> 00:34:39,000 Speaker 1: to talk about it. But it's basically like, we need 650 00:34:39,000 --> 00:34:42,080 Speaker 1: to invest in these kids the things that really matter, 651 00:34:42,840 --> 00:34:48,120 Speaker 1: and not necessarily reciting a Greek poem or something like that. 652 00:34:48,480 --> 00:34:52,160 Speaker 2: Sure, the only question is who decides what really matters? 653 00:34:52,320 --> 00:34:54,880 Speaker 2: And I think one of the things about that is 654 00:34:54,920 --> 00:34:57,600 Speaker 2: that at the time when that guy was talking like that, 655 00:34:58,080 --> 00:35:01,200 Speaker 2: kids in public schools were viewed as being trained and 656 00:35:01,239 --> 00:35:05,120 Speaker 2: molded into the workers of tomorrow. So it was the 657 00:35:05,160 --> 00:35:08,359 Speaker 2: government and the economy who decided what was important. And yeah, 658 00:35:08,800 --> 00:35:11,120 Speaker 2: we weren't making a lot of money off of reciting 659 00:35:11,160 --> 00:35:14,040 Speaker 2: Greek poems like you were saying, so that would get 660 00:35:14,080 --> 00:35:18,120 Speaker 2: scuttled in the face of say, I don't know shop class, 661 00:35:18,160 --> 00:35:19,840 Speaker 2: maybe what class? 662 00:35:19,840 --> 00:35:20,120 Speaker 1: Shop? 663 00:35:20,360 --> 00:35:20,640 Speaker 2: Shop? 664 00:35:20,719 --> 00:35:24,440 Speaker 1: Yeah, yeah, I had shop. We didn't have a car 665 00:35:24,640 --> 00:35:26,040 Speaker 1: auto shop though, did you guys have that? 666 00:35:26,680 --> 00:35:29,319 Speaker 2: No. I was just fascinated by that they had one 667 00:35:29,360 --> 00:35:31,040 Speaker 2: unsaved by the bell, and I always thought that was 668 00:35:31,080 --> 00:35:31,839 Speaker 2: the coolest thing. 669 00:35:32,440 --> 00:35:35,200 Speaker 1: It felt like something that was in generation's previous to us. 670 00:35:35,239 --> 00:35:37,400 Speaker 1: We just had shop class where you made lamps and 671 00:35:38,239 --> 00:35:38,879 Speaker 1: stuff like that. 672 00:35:39,400 --> 00:35:42,560 Speaker 2: Well, there was a huge shift in the American economy 673 00:35:42,640 --> 00:35:47,160 Speaker 2: from car making to lamp making the early eighties, so 674 00:35:47,200 --> 00:35:49,000 Speaker 2: I'm sure that's what the result was. 675 00:35:50,239 --> 00:35:52,800 Speaker 1: Shall we take our second break or soldier through. 676 00:35:54,320 --> 00:35:58,800 Speaker 2: Systematic soldier? Yeah, I say we take our second break. 677 00:35:59,160 --> 00:36:24,160 Speaker 1: Okay, let's do it. Be right back. Okay, we're back 678 00:36:24,640 --> 00:36:26,920 Speaker 1: by the way. I think the kitchen triangles is probably 679 00:36:27,040 --> 00:36:29,040 Speaker 1: the fridge and not the dishwasher, would be my guess. 680 00:36:29,040 --> 00:36:32,799 Speaker 2: Oh yeah, yeah, yeah, I forgot about the fridge. Yes, yes, absolutely, than. 681 00:36:32,960 --> 00:36:34,279 Speaker 1: I bet it's I bet you're right, though, I bet 682 00:36:34,280 --> 00:36:37,960 Speaker 1: it's sink, stove of and fridge would be my guess. 683 00:36:38,120 --> 00:36:41,680 Speaker 2: Sure, yeah, I think you're right, because what if you 684 00:36:41,680 --> 00:36:44,200 Speaker 2: don't have a dishwasher, right, And I'm sure that she 685 00:36:44,280 --> 00:36:47,160 Speaker 2: didn't have a dishwasher in the nineteen thirties and forties, 686 00:36:47,200 --> 00:36:51,000 Speaker 2: so you know, yeah, so you're you're right. Chuck just 687 00:36:51,120 --> 00:36:51,760 Speaker 2: say it again. 688 00:36:52,760 --> 00:36:55,560 Speaker 1: I think it was the fridge. Okay, all right, So 689 00:36:55,560 --> 00:36:57,520 Speaker 1: we're gonna talk a little bit about just sort of 690 00:36:57,560 --> 00:37:03,279 Speaker 1: what like what Detaylor is accomplish. Ultimately, there is a 691 00:37:03,280 --> 00:37:05,239 Speaker 1: lot of irony in that. You know, a lot of 692 00:37:05,239 --> 00:37:09,279 Speaker 1: it was so scientific supposedly, but a lot of the 693 00:37:09,320 --> 00:37:12,680 Speaker 1: stuff was made up or just sort of you know, yeah, 694 00:37:12,719 --> 00:37:15,799 Speaker 1: made up or kind of a sham. Right, This wasn't new. 695 00:37:15,840 --> 00:37:19,960 Speaker 1: Stuff like timing people on tasks and teaching people to 696 00:37:20,000 --> 00:37:24,040 Speaker 1: do do more specific things had been around for a 697 00:37:24,080 --> 00:37:27,319 Speaker 1: long time. But one of the effects of tailorism is 698 00:37:27,360 --> 00:37:33,759 Speaker 1: definitely like you know, de skilling a worker making them 699 00:37:33,840 --> 00:37:37,279 Speaker 1: feel and not that working is all about emotions, but 700 00:37:37,840 --> 00:37:40,000 Speaker 1: you don't want to make your employee feel like a 701 00:37:40,080 --> 00:37:42,919 Speaker 1: robot that can be replaced by a robot. You want 702 00:37:42,920 --> 00:37:45,640 Speaker 1: to give them a little bit of agency ideally and 703 00:37:45,719 --> 00:37:48,719 Speaker 1: a job and not just say move your body this way, 704 00:37:48,880 --> 00:37:51,440 Speaker 1: move your hand that way, punch that thing and then 705 00:37:51,560 --> 00:37:52,959 Speaker 1: return back to position one. 706 00:37:53,400 --> 00:37:58,040 Speaker 2: Yeah, and so de skilling workers taking away the overall 707 00:37:58,320 --> 00:38:01,960 Speaker 2: understanding of making say like oven and just giving them 708 00:38:02,160 --> 00:38:04,400 Speaker 2: the one job of putting the door on the oven 709 00:38:04,440 --> 00:38:07,560 Speaker 2: as it's coming down the assembly line, not only does 710 00:38:07,640 --> 00:38:10,920 Speaker 2: that take away from job satisfaction, it also makes you 711 00:38:11,080 --> 00:38:14,000 Speaker 2: way more replaceable because you don't have to train somebody 712 00:38:14,040 --> 00:38:15,680 Speaker 2: to build a whole oven. All you have to do 713 00:38:15,719 --> 00:38:17,600 Speaker 2: is train them to put that oven door on, and 714 00:38:17,640 --> 00:38:20,440 Speaker 2: then you train somebody else to put the thermostad in 715 00:38:20,480 --> 00:38:22,600 Speaker 2: the oven, and so on and so forth. And you, 716 00:38:22,840 --> 00:38:25,240 Speaker 2: the owner of the factory, has that oven you want, 717 00:38:25,800 --> 00:38:27,840 Speaker 2: but you have a bunch of replaceable workers that you 718 00:38:27,920 --> 00:38:32,040 Speaker 2: can pay fairly low wages even combined compared to somebody 719 00:38:32,040 --> 00:38:35,280 Speaker 2: who builds the oven from scratch. That is a huge 720 00:38:35,480 --> 00:38:39,200 Speaker 2: Like you said, that was already underway, but Taylorism and 721 00:38:39,320 --> 00:38:42,720 Speaker 2: the fact that it was so pervasive and widespread, especially 722 00:38:42,800 --> 00:38:44,920 Speaker 2: in America in the first half of the twentieth century, 723 00:38:45,360 --> 00:38:50,120 Speaker 2: really solidified that as like a basis of the American workforce. 724 00:38:50,960 --> 00:38:54,239 Speaker 1: Yeah, another effect, I mean, I guess we've kind of 725 00:38:54,280 --> 00:38:56,799 Speaker 1: said it in several different ways from the beginning, but 726 00:38:57,360 --> 00:38:59,359 Speaker 1: you know, the idea that the Gilbress had that there 727 00:38:59,360 --> 00:39:03,359 Speaker 1: would be a happiness quotient involved and where you could 728 00:39:03,400 --> 00:39:05,600 Speaker 1: do work more efficiently so you could just have more 729 00:39:05,600 --> 00:39:09,040 Speaker 1: time and better wages to spend with your family. It just, 730 00:39:09,120 --> 00:39:12,000 Speaker 1: you know, it didn't work out that way. Even though 731 00:39:12,040 --> 00:39:17,279 Speaker 1: the whole idea of Taylorism at its base isn't inherently 732 00:39:17,320 --> 00:39:19,799 Speaker 1: anti worker, it sort of ends up being that way 733 00:39:19,920 --> 00:39:23,400 Speaker 1: when the profits are being spread around the top tier 734 00:39:23,719 --> 00:39:25,840 Speaker 1: and all they want is more and more of those profits. 735 00:39:26,280 --> 00:39:28,640 Speaker 2: Yes, And so to be clear, it wasn't like every 736 00:39:28,640 --> 00:39:32,560 Speaker 2: single time Taylor showed up like that's just how it went. 737 00:39:33,080 --> 00:39:36,520 Speaker 2: There were some successful pushbacks over the years. There's one 738 00:39:36,560 --> 00:39:40,800 Speaker 2: specifically at the Watertown Arsenal in Massachusetts in nineteen eleven. 739 00:39:40,840 --> 00:39:43,759 Speaker 2: They make guns, I think for the government. It was 740 00:39:43,800 --> 00:39:47,439 Speaker 2: a federal arsenal, and Taylor sent one of his emissaries 741 00:39:47,840 --> 00:39:49,920 Speaker 2: essentially told him to just make up a number. You 742 00:39:49,960 --> 00:39:53,520 Speaker 2: don't even need the stop watch part, and I think 743 00:39:53,600 --> 00:39:56,279 Speaker 2: word of that got out and really kind of undermined that, 744 00:39:56,600 --> 00:40:02,280 Speaker 2: but also just the process of being time doing your job. 745 00:40:02,560 --> 00:40:04,319 Speaker 2: One of the workers said, I'm not doing that. You 746 00:40:04,360 --> 00:40:06,800 Speaker 2: can't time me, and he was fired on the spot, 747 00:40:07,360 --> 00:40:09,279 Speaker 2: and the rest of the workers were like, oh yeah, 748 00:40:09,280 --> 00:40:11,920 Speaker 2: well we're going on strike. And they ended up being 749 00:40:11,920 --> 00:40:16,359 Speaker 2: successful because again this was a federal arsenal and those 750 00:40:16,360 --> 00:40:20,239 Speaker 2: congressional hearings to investigate Taylor. One of the results of 751 00:40:20,280 --> 00:40:24,919 Speaker 2: them was that the US federal government banned Taylorism from 752 00:40:24,960 --> 00:40:27,319 Speaker 2: being used in any way, shape or form in any 753 00:40:27,400 --> 00:40:29,320 Speaker 2: kind of federal facility or agency. 754 00:40:30,239 --> 00:40:30,479 Speaker 1: Yeah. 755 00:40:32,080 --> 00:40:35,719 Speaker 2: Yeah, but overall, I mean, Taylor certainly won the day. 756 00:40:35,800 --> 00:40:38,560 Speaker 2: I mean, that's that's just how the economy is in 757 00:40:38,600 --> 00:40:42,879 Speaker 2: America and other like minded countries. Like, even though we've 758 00:40:42,960 --> 00:40:46,760 Speaker 2: kind of walked away from it overtly, it's just gotten 759 00:40:46,760 --> 00:40:49,200 Speaker 2: more and more entrenched over the years, rather than further 760 00:40:49,239 --> 00:40:49,920 Speaker 2: and further away. 761 00:40:50,800 --> 00:40:54,040 Speaker 1: Yeah, for sure, I mean probably the most you know, 762 00:40:54,040 --> 00:40:57,160 Speaker 1: the biggest contribution was it just raised the awareness and 763 00:40:57,920 --> 00:41:02,600 Speaker 1: an obsession with productivity, and productivity is great, it's not 764 00:41:02,640 --> 00:41:05,880 Speaker 1: like that's a bad thing. But again, like when you're 765 00:41:05,920 --> 00:41:10,680 Speaker 1: dealing with human beings, to feel like a cog and 766 00:41:10,719 --> 00:41:14,719 Speaker 1: to feel completely replaceable, there's no way like you're not 767 00:41:14,760 --> 00:41:17,840 Speaker 1: serving your own purpose as a as a business owner, 768 00:41:18,800 --> 00:41:23,000 Speaker 1: because you're not gonna have good and happy employees ultimately, 769 00:41:23,160 --> 00:41:27,480 Speaker 1: and replacing employee after employee, even if you're just training 770 00:41:27,520 --> 00:41:30,759 Speaker 1: them to put the oven door on, that's still an inefficiency, 771 00:41:30,920 --> 00:41:31,200 Speaker 1: you know. 772 00:41:31,360 --> 00:41:35,040 Speaker 2: Right, No, for sure, And yeah, that's a really great point. 773 00:41:35,120 --> 00:41:36,320 Speaker 1: Do you want to keep employees? 774 00:41:36,440 --> 00:41:39,480 Speaker 2: Yeah, but I'm sure some being counter at some company 775 00:41:39,560 --> 00:41:41,920 Speaker 2: somewhere was like, oh, yeah, I still make more money 776 00:41:42,560 --> 00:41:45,440 Speaker 2: hiring and training employees than you do making them happy, 777 00:41:45,960 --> 00:41:48,680 Speaker 2: although that seems to not be the case. I was 778 00:41:48,719 --> 00:41:53,399 Speaker 2: reading up on management consulting, which I think deserves its 779 00:41:53,400 --> 00:41:57,400 Speaker 2: own episode down the line because apparently it's just totally fraudulent, 780 00:41:57,680 --> 00:42:00,960 Speaker 2: So I think it'll be a really great interesting episode. 781 00:42:01,440 --> 00:42:05,680 Speaker 2: But some studies have shown, from what I saw just 782 00:42:05,719 --> 00:42:10,560 Speaker 2: briefly reading about this, that the happier your workers are, 783 00:42:10,640 --> 00:42:13,759 Speaker 2: or I should say, economies that have happier workers, like 784 00:42:13,880 --> 00:42:18,319 Speaker 2: more fulfilled workers, typically have their richer For the most part. 785 00:42:19,040 --> 00:42:21,720 Speaker 2: I guess America as an outlier because I think overall 786 00:42:21,760 --> 00:42:24,640 Speaker 2: workers are not necessarily happy with their jobs or lack 787 00:42:24,680 --> 00:42:28,120 Speaker 2: of job. But supposedly if you make if you invest 788 00:42:28,160 --> 00:42:32,680 Speaker 2: in your workers well being and actual happiness and fulfillment 789 00:42:32,680 --> 00:42:35,120 Speaker 2: with their job, they're going to work more for you. 790 00:42:35,160 --> 00:42:37,239 Speaker 2: They're going to work harder because they care about what 791 00:42:37,280 --> 00:42:37,840 Speaker 2: they're doing. 792 00:42:38,560 --> 00:42:38,960 Speaker 1: Totally. 793 00:42:39,520 --> 00:42:42,280 Speaker 2: So yeah. And then one of the other big things 794 00:42:42,320 --> 00:42:46,240 Speaker 2: that shows that Taylorism is still alive and well today 795 00:42:46,320 --> 00:42:49,960 Speaker 2: Chuck is computers, AI, whatever you want to call it, 796 00:42:51,040 --> 00:42:55,880 Speaker 2: is they've fulfilled or they're fulfilling the role of managers 797 00:42:55,920 --> 00:42:59,000 Speaker 2: that Taylor envisioned. So remember the manager was in charge 798 00:42:59,040 --> 00:43:01,520 Speaker 2: of figuring out the best way to do something and 799 00:43:01,560 --> 00:43:04,520 Speaker 2: then instructing the worker to do it exactly that way 800 00:43:04,560 --> 00:43:08,600 Speaker 2: at exactly that time. That is what computers do today 801 00:43:08,920 --> 00:43:14,759 Speaker 2: for workers, which is a bizarre reversal of authority, I 802 00:43:14,760 --> 00:43:16,640 Speaker 2: guess if you think about it, but that's the way 803 00:43:16,640 --> 00:43:19,880 Speaker 2: it is, especially in places like you know, big warehouses 804 00:43:20,000 --> 00:43:24,480 Speaker 2: or call centers. Computers essentially running the. 805 00:43:24,440 --> 00:43:29,400 Speaker 1: Show, yeah, for sure, and it created the management consultant industry. 806 00:43:31,280 --> 00:43:32,640 Speaker 1: I think we should do one on that. I don't 807 00:43:32,840 --> 00:43:35,319 Speaker 1: I'm sure you remember, and I won't be very specific here, 808 00:43:35,360 --> 00:43:37,120 Speaker 1: but because we've been owned by a lot of companies 809 00:43:37,160 --> 00:43:39,799 Speaker 1: over the years, but one of one time, one of 810 00:43:39,800 --> 00:43:42,239 Speaker 1: the companies that I'm just hired a dude that came 811 00:43:42,280 --> 00:43:45,759 Speaker 1: in and we were like, who's this guy? And I 812 00:43:45,800 --> 00:43:48,160 Speaker 1: can't remember someone who knows how these things work? Took 813 00:43:48,200 --> 00:43:51,040 Speaker 1: us aside and they were like, he's I guess, I 814 00:43:51,040 --> 00:43:52,840 Speaker 1: don't know if he was a management consultant or what 815 00:43:52,880 --> 00:43:55,239 Speaker 1: his official job was, but they're like, his job is 816 00:43:55,280 --> 00:43:58,759 Speaker 1: to come in here and fire people and rip this 817 00:43:58,800 --> 00:44:01,680 Speaker 1: place apart and then probably get a nice exit and 818 00:44:01,719 --> 00:44:03,520 Speaker 1: move on to another job where he'll do that exact 819 00:44:03,560 --> 00:44:03,960 Speaker 1: same thing. 820 00:44:04,080 --> 00:44:05,640 Speaker 2: Yes, that's what the industry. 821 00:44:05,680 --> 00:44:07,520 Speaker 1: Does. You remember that guy? 822 00:44:07,760 --> 00:44:11,359 Speaker 2: No, I don't remember that guy. You got to tell me, please, 823 00:44:11,440 --> 00:44:12,360 Speaker 2: do I know? 824 00:44:12,440 --> 00:44:14,680 Speaker 1: Jerry is like screaming his name off air? Right now? 825 00:44:16,880 --> 00:44:19,120 Speaker 2: Just one last thing. Do you have anything more about taylorism? 826 00:44:20,280 --> 00:44:21,360 Speaker 1: Uh? 827 00:44:21,920 --> 00:44:25,319 Speaker 2: No, okay, great, well then I do have just one 828 00:44:25,400 --> 00:44:28,439 Speaker 2: last thing. If you want kind of a lighthearted look 829 00:44:29,000 --> 00:44:32,879 Speaker 2: comedy with heart efficiency, check out the nineteen ninety one 830 00:44:32,960 --> 00:44:37,200 Speaker 2: film The Efficiency Expert starring Anthony Hopkins. Oh. 831 00:44:37,239 --> 00:44:38,360 Speaker 1: I thought you're gonna say, gung ho. 832 00:44:39,800 --> 00:44:42,439 Speaker 2: That was Yeah, kind of a different one, but yeah, 833 00:44:42,880 --> 00:44:45,640 Speaker 2: I'm sure there's a lot of crossover for sure. 834 00:44:46,200 --> 00:44:48,560 Speaker 1: What's this Tony Hopkins picture? What is it? 835 00:44:48,680 --> 00:44:52,200 Speaker 2: The Efficiency Expert? It's exactly what you never described. And 836 00:44:52,480 --> 00:44:54,600 Speaker 2: he ends up in a I think a factory where 837 00:44:55,120 --> 00:44:59,600 Speaker 2: the workers make they change his view of things. I 838 00:44:59,600 --> 00:45:03,600 Speaker 2: think they kind of turn him around. Oh I remember, correctly, 839 00:45:03,680 --> 00:45:04,239 Speaker 2: I haven't seen it. 840 00:45:04,280 --> 00:45:06,280 Speaker 1: That wouldn't have worked with the other guy that I mentioned. 841 00:45:06,600 --> 00:45:07,719 Speaker 1: He was unflappable. 842 00:45:08,000 --> 00:45:10,880 Speaker 2: Well, anyway, we're about to end, well, wait, hold on, 843 00:45:11,000 --> 00:45:13,360 Speaker 2: we got to do listener mail, don't we Yeah, and 844 00:45:13,360 --> 00:45:15,440 Speaker 2: then I'll tell you by the way, Chuck, I gotta 845 00:45:15,520 --> 00:45:19,120 Speaker 2: tell you that we ended on forty five minutes on 846 00:45:19,239 --> 00:45:19,720 Speaker 2: the nose. 847 00:45:20,280 --> 00:45:21,880 Speaker 1: Holy cal yep. 848 00:45:22,000 --> 00:45:25,279 Speaker 2: Way to go champ. Oh. Since I said way to 849 00:45:25,320 --> 00:45:27,719 Speaker 2: go champ of course, that means it's time for listener mail. 850 00:45:30,680 --> 00:45:33,000 Speaker 1: This is just a nice thank you. Hey, guys, heartfelt 851 00:45:33,000 --> 00:45:35,480 Speaker 1: thank you. Started listening in twenty twelve, and my time. 852 00:45:35,640 --> 00:45:38,759 Speaker 1: Although my time spent listening to podcast is fluctuated, yours 853 00:45:38,760 --> 00:45:41,319 Speaker 1: has been one of the constants. Started listening to keep 854 00:45:41,320 --> 00:45:43,520 Speaker 1: my mind occupied when I had hours of mundane tasks 855 00:45:43,520 --> 00:45:45,799 Speaker 1: in the lab where I worked after college, and I've 856 00:45:45,840 --> 00:45:49,400 Speaker 1: continue to listen through a career change, relationship changes, getting 857 00:45:49,400 --> 00:45:52,720 Speaker 1: my first dog, Luna. He sent a picture of Luna sweet, 858 00:45:52,760 --> 00:45:55,840 Speaker 1: and becoming a homeowner. I'm listening still as I'm planning 859 00:45:55,880 --> 00:45:58,040 Speaker 1: a second career change and going through a little lonelier 860 00:45:58,080 --> 00:46:00,640 Speaker 1: stretch of my life. In your podcast kept me laughing 861 00:46:00,680 --> 00:46:04,239 Speaker 1: and feeling connected to the world through challenging times. And 862 00:46:04,280 --> 00:46:06,319 Speaker 1: I sometimes feel like there isn't the right combination of 863 00:46:06,360 --> 00:46:08,320 Speaker 1: words to express my gratitude completely. 864 00:46:09,200 --> 00:46:11,160 Speaker 2: I feel like they just put those words together. 865 00:46:11,760 --> 00:46:14,960 Speaker 1: I feel like you're right. Some of my favorite moments 866 00:46:15,000 --> 00:46:17,000 Speaker 1: in recent shows have been Chuck's throwaway line about a 867 00:46:17,040 --> 00:46:20,960 Speaker 1: fairy hoax confession happening at a Men Without Hats concert. 868 00:46:21,440 --> 00:46:24,240 Speaker 1: It's got Josh chuckle not once twice, but three times. 869 00:46:24,600 --> 00:46:29,200 Speaker 1: And in the fifteenth annual s YSK Halloween Spectacular, the 870 00:46:29,280 --> 00:46:31,920 Speaker 1: curious sound like laughter yet not laughter that Josh made, 871 00:46:32,239 --> 00:46:34,800 Speaker 1: which sounded like it had Chuck literally crying with laughter, 872 00:46:35,200 --> 00:46:38,920 Speaker 1: which is absolutely true. That maybe the most I've ever 873 00:46:39,000 --> 00:46:40,080 Speaker 1: laughed at something that you did. 874 00:46:40,200 --> 00:46:41,200 Speaker 2: I think it is man. 875 00:46:42,320 --> 00:46:44,560 Speaker 1: I hope that you know for some of your listeners, 876 00:46:44,560 --> 00:46:47,680 Speaker 1: your podcast has been as meaningful to us as the 877 00:46:47,719 --> 00:46:49,759 Speaker 1: Simpsons or Peanuts may have been to you. 878 00:46:50,080 --> 00:46:54,200 Speaker 2: Wow Wow, Wow? Who was that? 879 00:46:54,719 --> 00:46:56,719 Speaker 1: Stanley knows how to drive it home. He signs it 880 00:46:56,760 --> 00:46:58,560 Speaker 1: all the best Stanley A seed. 881 00:46:59,280 --> 00:47:02,600 Speaker 2: Oh nice. I thanks, Stanley. You're a true listener through 882 00:47:02,600 --> 00:47:05,200 Speaker 2: and through, aren't you. I love that humble like I 883 00:47:05,239 --> 00:47:07,080 Speaker 2: can't figure out how to put the words together, but. 884 00:47:07,120 --> 00:47:10,360 Speaker 1: Here they are, yeah, in perfect order, exactly. 885 00:47:10,719 --> 00:47:12,520 Speaker 2: Well, if you want to be like Stanley and make 886 00:47:12,560 --> 00:47:16,279 Speaker 2: me say wow, not once, not twice, but thrice, then 887 00:47:16,880 --> 00:47:19,359 Speaker 2: you can try your hand at it. Send us an 888 00:47:19,360 --> 00:47:26,000 Speaker 2: email to Stuff Podcast at iHeartRadio dot com. 889 00:47:26,160 --> 00:47:29,040 Speaker 1: Stuff you Should Know is a production of iHeartRadio. For 890 00:47:29,160 --> 00:47:33,319 Speaker 1: more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts, 891 00:47:33,440 --> 00:47:35,280 Speaker 1: or wherever you listen to your favorite shows.