(h) TROM - 2.4 Work
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0:24 - 0:27Labor is the direct contribution to the monetary system,
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0:27 - 0:29to the circulation of money,
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0:29 - 0:32but is also the only way to acquire money,
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0:32 - 0:35which leads directly to the obligation of work.
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0:36 - 0:40Most jobs only focus on the ultimate prize, money,
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0:40 - 0:43with little regard for the human condition.
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0:43 - 0:47Labor, in this way, is another form of slavery.
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0:50 - 0:53Automation can replace most repetitive jobs today
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0:53 - 0:57perfecting the quality of work, but let's concentrate on
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0:57 - 1:00something much more important: motivation.
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1:06 - 1:09Our motivations are unbelievable interesting, I mean,
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1:09 - 1:11I find, I have been working on this for a few years
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1:11 - 1:15and I just find this topic still so amazingly engaging and interesting.
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1:15 - 1:17So I want to tell you about that.
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1:17 - 1:19The science is really surprising.
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1:19 - 1:22The science is a little bit freaky, ok?
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1:22 - 1:27We are not as endlessly manipulable, and as predictable as you would think!
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1:27 - 1:31There's a whole set of unbelievably interesting studies. I want to give you two.
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1:31 - 1:36They call in to question this idea that if you reward something you get more of the behavior that you want,
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1:36 - 1:38if you punish something, you get less of it.
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1:38 - 1:43So let's talk..let's go from London to the main streets of Cambridge Massachusetts,
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1:43 - 1:45to The NE part of the United States.
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1:45 - 1:49And I wanna talk about a study done at MIT, Massachusetts Institute of Technology.
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1:49 - 1:53Here's what they did: They took a whole group of students, and they gave them a set of challenges,
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1:53 - 2:01things like: memorizing strings of digits, solving word puzzle, other kind of special puzzle, even physical tasks
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2:01 - 2:03like throwing a ball through a hoop.
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2:03 - 2:04Ok? They gave them those challenges and they said
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2:05 - 2:09to incentive their performance, they gave them 3 levels of reward, ok?
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2:09 - 2:13So, if you did pretty well you´ve got a small monetary reward,
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2:13 - 2:16if you did medium well you get a medium monetary reward,
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2:16 - 2:22and if you did really well, you are one of the top performers you´ve got a large cash prize, ok?
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2:22 - 2:27We´ve seen this movie before, this is essentially a typical motivation scheme within the organizations, right?
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2:27 - 2:35We reward the very top performers, we ignore the low performers, and the other folks kind in the middle ... ok, we give a little bit.
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2:35 - 2:40So what´s happens? They do the test, they have these incentives, and here´s what they found out:
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2:40 - 2:47one: as long as the task involve only mechanical skill bonuses worked as they would be expected,
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2:47 - 2:52the higher they pay the better the performance, ok? That makes sense, but here´s what happened:
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2:53 - 3:02but once the task call for even rudimentary cognitive skill, a larger reward lead to a poorer performance.
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3:02 - 3:09And this is strange right? A larger reward lead to a poorer performance, how can that possibly be? And the interesting thing about this
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3:09 - 3:16is that these folks here who did it , are all economists, two from MIT, other from the university of Chicago, one at Cargenie meilon, ok?
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3:16 - 3:23Top tiers of the economics professions, and they reach to this conclusion that seems contrary to what a lot of us learn in economics
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3:23 - 3:27which is, which is the, the higher the reward, the better the performance
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3:27 - 3:33and they are saying that once you get above rudimentary cognitive skill, it's the other way around.
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3:34 - 3:37Which seems to this kind of the idea that the rewards don´t work that way
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3:37 - 3:44seems bleakly left wing in socialist, doesn't it? It's kind of, it's kind of weird socialist conspiracy.
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3:44 - 3:51But those of you who have those conspiracy theories, I want to point out this sort of notoriously left wing in socialist groups that finances the research,
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3:51 - 3:58the Federal Reserve Bank, this is the mainstream of the mainstream coming to a conclusion that it´s quite surprising,
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3:58 - 4:03that seems to defies a lot of behavioural physics, so this is strange, the strange is fun , so what did they do?
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4:03 - 4:11they say this is freaky, let´s go test it somewhere else, maybe that 50 dollars, 60 dollars prize is insufficiently motivating for an M.I.T.'s... right?
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4:12 - 4:20so let´s go to a place where 50 dollars is actually more significant relatively, so we take this experiment we gonna go to Madurai India, Rural India
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4:20 - 4:24where 50 dollars, 60 dollars, whatever the number was is actually a significative amount of money
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4:24 - 4:33so they replicated the experiment in India, roughly as follow: small rewards, the equivalent of two weeks salary... I mean, sorry, so:
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4:33 - 4:38small performance, low performance: two weeks salary, medium performance: about a month salary
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4:40 - 4:46high performance about 2 months salary, ok? So this is real good incentive, and you are gonna get a different result here.
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4:46 - 4:54Well what happened though, was that, the people offered the medium reward, did no better than the people offered the small reward, but this time around,
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4:54 - 4:59the people offered the top reward, they did worst of all. Higher incentives led to worst performance.
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4:59 - 5:05What´s interesting about this is that it actually isn´t that anomalous, this has been replicated over and over and over again
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5:05 - 5:15by psychologist, by sociologist, and by economists, over and over and over again. For simple straight forward tasks, those kind of incentives
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5:15 - 5:23if you do this then you get that... they are great. For tasks that are algorithmics, set of rules, we have this follow along and get a right answer
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5:24 - 5:28if then a reward caracteristics oustanding!
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5:28 - 5:33but when the task gets more complicated, when it requires some conceptual, creative thinking
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5:33 - 5:38those kind of motivators mostly don't work...
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5:38 - 5:45fact: money is a motivator at work, but in a sightly strange way: if you don't pay people enough: they won't be motivated
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5:45 - 5:50what's curious about this is that there´s another paradox here: which is that the best use of money is as a motivator
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5:50 - 5:57is to pay people enough, to take the issue of money off the table. Pay people enough so they are not thinking about money and they are thinking about the work
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5:57 - 6:03now once you do that it turns at the 3 factors that science shows that lead to a better performance
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6:03 - 6:08not to mention personal satisfaction. Autonomy, mastery and purpose
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6:08 - 6:15Autonomy is our desire to be self directed, to direct our own lifes. Now in many ways traditional notions of management run and fall out of that
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6:15 - 6:20Management is great if you want compliance, but if you want engagement, which is what we want
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6:20 - 6:26in the workforces today, as people are doing more complicated things... self direction is better.
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6:26 - 6:32Let me give you some examples of this almost radical form of self direction in the workplace that leads to good result.
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6:32 - 6:36Let´s start with this company right here: Atlassian, an australian company, a software company,
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6:36 - 6:42and they do something really cool, once a quarter at thursday afternoon they say to their developers:
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6:42 - 6:48for the next 24 hours, you can work on anything you want, you can work on it the way you want, you can work on with whomever you want,
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6:49 - 6:53all we ask is that you should show the results to the company at the end of those 24 hours,
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6:53 - 7:00and this fun kind of meeting, not a start chamber session, but this fun meeting with beer and cake and fun and other things like that,
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7:00 - 7:08it turns out that that one day of pure and alluded autonomy has led to a whole array of fixes for existing software,
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7:08 - 7:13a whole array of ideas for new products, that otherwise would never emerge, one day!
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7:13 - 7:18This is not a "if then" incentive, this is not the sort of thing that i would have done 3 years ago before I knew this research.
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7:18 - 7:26I would have said you want people to be creative and innovative? Give 'em a fricken innovation bonus. If you do something cool I give you 2,500 dollars.
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7:26 - 7:31They're not doing this at all, they're essentially saying: you probably want to do something interesting,
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7:31 - 7:35let me just get outta your way... one day of autonomy produces things that never emerge.
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7:36 - 7:44And let´s talk about mastery, mastery is the urge to get better at stuff, we like to get better at stuff, this is why people play musical instruments on the weekend,
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7:44 - 7:48you´ve got always people who are acting in ways that seems irrational acknowledgedly...
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7:48 - 7:54They play musical instruments on weekends? Why? It's not gonna get them a mate, it's not gonna make them any money, why are they doing it?
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7:54 - 7:58Because it's fun, because you get better at it and that´s satisfying.
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7:58 - 8:05Go back in time a little bit, imagine, I imagine this, if i went to my first economics professor: a woman named Mary Allen Schulman,
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8:05 - 8:11and I went to her in 1983 and said: professor Schulman can I talk after class for a moment?
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8:12 - 8:17I´ve got this incline, I´ve got this idea for a business model I just wanna pass you,
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8:17 - 8:24here´s how it would work: you get a bunch of people around the world who are doing highly skilled work,
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8:24 - 8:30but they're willing to do it for free and volunteer their time 20 sometimes 30 hours a week.
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8:32 - 8:40Then she´s looking at me somehow skeptically... hold on, I'm not done... and then what they create... they give it away rather than sell it!
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8:41 - 8:42It´s gonna be huge!
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8:43 - 8:47I'm sure she truly would have tought I was insane. It seems to fly in the face of so many things,
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8:47 - 8:53but what do you have? You have linux powering 1 out of 4 corporate servers and 45 hundred companies...
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8:53 - 8:58Apache powering more than the majority of web servers...
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8:58 - 9:05Wikipedia... what´s going on? Why are people doing this? Why are they, why are these people, many of them are technically sophisticated, highly skilled people,
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9:05 - 9:14who have jobs! Ok? They have jobs! They're working at jobs for pay, doing challenging, doing sophisticated technological work
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9:14 - 9:21and yet, during their limited discretionary time, they do equally if not more technically sophisticated work
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9:21 - 9:28not for their employer, but for someone else, for free! That´s a strange economic behaviour.
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9:28 - 9:33Economists would look into it: why are they doing this? It´s overwhelmingly clear: challenge and mastery
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9:33 - 9:38allong with making contribution. That´s it. Would you see more and more of rise of what you might call
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9:39 - 9:44a purpose motive. Is it more and more organizations want to have some kind of transcendent purpose
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9:44 - 9:49partly because it makes coming to work better, partly because that's the way to get better talent.
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9:50 - 9:56And what we're seeing now is in some ways, when the profit motive become unmoored from the purpose motive,
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9:56 - 10:03a bad thing happen, bad things, ethically sometimes, but also bad things just, like: not good stuff,
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10:03 - 10:09like: crappy products, like: lean services, like: uninspiring places to work.
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10:09 - 10:17When the profit motive is ??? or when it becomes completely unhitch on the purpose motive, it's just, people don't do great things
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10:18 - 10:24More and more organizations are realizing this and it's sort of disturbing the categories between what's profit and what's purpose.
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10:24 - 10:30and I think that actually heralds something interesting, and I think that the companies and organizations that are flourishing,
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10:30 - 10:35wether they're profit, poor profit or somewhere in between, are animated by this purpose, i'll only give you a couple of examples.
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10:36 - 10:43Here's the founder of skype. He says: our goal is to be disruptive but in the cause of making the world a better place.
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10:44 - 10:49Pretty good purpose. Here's Steve Jobs, I wanna put a ding in the universe, alright?
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10:49 - 10:52That's the kind of things that might get Jobs in the morning racing to go to work.
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10:53 - 10:59So I think that we are purpose maximizers, not only profit maximizers.
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10:59 - 11:05Think that science shows that we care about mastery very very deeply, and the science shows that we want to be self directed
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11:05 - 11:13and I think that the big take away here is that, if we start treating people like people, and not assuming that they are simply horses,
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11:13 - 11:20you know slower, smaller better smelling horses. If we get pass this kind of ideology of caracteristics and look at the science
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11:20 - 11:24I think we can actually build organisations and work lives that make us better off,
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11:25 - 11:28but i also think they have the promise to make our world, just a little bit better.
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11:39 - 11:42So work is mandatory in the monetary system,
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11:42 - 11:47and this system makes money the primary motivation for work,
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11:47 - 11:51which leads, scientifically, to a very low efficiency of the workers
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11:52 - 11:57because autonomy, mastery and purpose are what motivate humans.
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11:57 - 12:00Millions of people have already been replaced by machinery
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12:00 - 12:02and this will continue.
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12:03 - 12:06In fact it's even cheaper to invest in machinery
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12:06 - 12:10because they do not need salaries, medical insurance,
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12:10 - 12:13air conditioning, holidays or breaks.
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12:13 - 12:19Remember that any repetitive work can be automated, as for the other jobs...
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12:21 - 12:28Many have a very difficult time seeing how automation can be applied to complex jobs such as doctors, architects, etc
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12:28 - 12:35In order to consider this, we first need to ask ourselves, what the true nature of our occupational roles really are
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12:35 - 12:42What exactly is a doctor, a carpenter, a plumber or an architect... what are they actually doing?
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12:43 - 12:45They recognize and react to observed patterns.
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12:46 - 12:51When a doctor examines you, all he's doing is mentally referencing what has been learned.
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12:52 - 12:56If you go to other methologists because you think you might have cancer on your arm,
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12:56 - 13:01the doctor is going to examine the skin and mentally reference the patterns he or she has been taught.
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13:02 - 13:06Then he will take a sample of the skin to be tested by machine analysis.
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13:06 - 13:13It is a technical process, there's no reason to say, that an optical scanner connected to a computer database
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13:13 - 13:17cannot scan your arm and immediatly understand what problem exists.
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13:18 - 13:23Even surgery, as sensitive as it may seem, is a purely technical process.
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13:23 - 13:28It is only a matter of time before extremely advanced machines replace surgeons.
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13:29 - 13:33The same goes for every other utilitarian occupation in existence.
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13:34 - 13:39The utilitarian roles that humans assume in society today are fundamentally technical by nature.
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13:40 - 13:47Once that seems obvious in regard to physical labor, and mental labor can now be delegated to computers as well.
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13:47 - 13:54If this sounds foreign to you, please note that if you have ever used a calculator you have delegated your decision making to a machine.
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13:54 - 14:02When you divide 19,500 by 30 with the calculator, this machine is to decide the result, not you.
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14:03 - 14:10We must remember that logical reasoning is the cognitive ability to find solutions from a cause and effect standpoint,
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14:10 - 14:13following the rules and laws of a given system,
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14:13 - 14:19is entirely a technical process. There's nothing magical or esoteric involved in an addition,
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14:19 - 14:23or the identification of a molecule in a component.
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14:24 - 14:32If you are going to decide between using metal A or metal B for producing an airplane, it's not done by you being seated and thinking,
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14:32 - 14:38but doing the strength resistence experiment with the metals and if they pass those tests, they are selected or discarded.
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14:39 - 14:43It is not a hidden process that happens in some area of the brain,
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14:43 - 14:49it is informations obtained by doing precise and defined testing, that can beyond as being automated.
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14:50 - 14:53There isn't a capitalist or a communist way of building an airplane.
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14:53 - 14:59If the airplane doesn't satisfy the physical requirements to be able to fly, it won't fly.
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15:00 - 15:04A person can not invent something that has no correlation with reality,
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15:04 - 15:06it doesn't matter how imaginative you are,
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15:06 - 15:12if what you imagine can not be obtained by rearranging and manipulating existing physical stuff in reality,
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15:12 - 15:14it will not materialize.
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15:16 - 15:22And do not forget that repetitive work does not help the human brain develop,
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15:22 - 15:26it is an embarrassment for an intelligent species.
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15:29 - 15:33It's very easy to repeat and to replicate any profession,
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15:34 - 15:39but in time people will not work. They go to work, they think well that's the way you earn a living.
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15:39 - 15:45No it's not, it's the only way we use today, but in the future, work will be considered to be needless.
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15:45 - 15:52Because men have a brain, when you put a girl behind a cash in a department store for 15 years... What can I do for you man?
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15:52 - 15:58We have pencils, lipsticks .... (incomprehensible)
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15:58 - 16:01all that is crap. That's not using her brain.
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16:01 - 16:05All that will be automatically dispensed, very easy to do.
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16:05 - 16:09Work is needless. It serves no useful purpose.
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16:27 - 16:31[ Alternative Solutions ]
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16:41 - 16:44[ 1) Automation ]
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16:44 - 16:47The solution will be automating as much as possible,
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16:48 - 16:51and the remaining jobs, which would be only a few,
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16:51 - 16:55will be done by people because science has shown that a man's work is better
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16:55 - 16:59when it is motivated by purpose, and not by money.
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17:00 - 17:06Those being proven, man can be free of work, meaning free of slavery in most cases,
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17:06 - 17:11which represents a giant step forward in the evolution of humans.
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17:11 - 17:14While work is largely done by machines, and man is motivated
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17:14 - 17:19by purpose, the access to goods and services will be free of charge.
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17:19 - 17:23If automation would lead directly to a lack of jobs,
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17:23 - 17:28the remaining jobs would be done because of their purpose, to improve society,
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17:28 - 17:33then such a development would not require a monetary system to function.
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17:36 - 17:42So if the only reward you get is seeing less poverty and hunger, starvation and deprivation,
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17:42 - 17:48kids with swollen bellies, all gone, and that doesn't give you incentive,
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17:48 - 17:54if your only incentive is money system, then you don't understand human beings.
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17:54 - 18:02Because you all own your own live to the advances made by Edison, Louis Pasteur, and all the other people,
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18:02 - 18:09you're alive because of them. So if you don't feel you want to put anything back into the earth to make it a better place,
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18:09 - 18:13i would say you're harmful, to yourself and society.
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18:15 - 18:18Most of the development we have in our society today, the technology,
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18:18 - 18:26the airplanes, TV, radio, moderns production technology, they're really done by very few people.
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18:26 - 18:32I would say several hundred people comprise the modern technological civilization.
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18:32 - 18:36But you don't need millions of technicians and millions of scientists,
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18:37 - 18:42how many people do you know of today, sitting in their home and playing their phonograph and radio and TV,
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18:42 - 18:45have any idea of how this works?
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19:07 - 19:11The main purpose of technology is to make the individuals' life easier,
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19:11 - 19:16and now technology is so advanced that the individuals' life may be
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19:16 - 19:20exempt from any involvement in finding food, information,
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19:20 - 19:22comfort or any aid.
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19:22 - 19:26Only the influence of an extremely harmful system can enforce
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19:26 - 19:30a negative situation like the one currently on Earth.
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19:30 - 19:34A situation where ordinary individuals know just a fraction
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19:34 - 19:37of the available information and where technology
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19:37 - 19:40is capable of improvements, but not used.
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19:41 - 19:45To compel other individuals of your species to work when work
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19:45 - 19:50can be automated, or to ask for obedience in exchange for food,
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19:50 - 19:54leads to psychopathic behavior of individuals that create
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19:54 - 19:57or perpetuate such situations.
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19:57 - 19:59A situation like this can only be the result
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20:00 - 20:04of a psychosis of individuals with power in society.
- Title:
- (h) TROM - 2.4 Work
- Description:
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http://tromsite.com - Full documentary, very well organized (download, youtube stream, subtitles, credits, share, get involved, and many more)
Documentary´s description :
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TROM (The Reality of Me) represents the biggest documentary ever created, it is also the only one that tries to analyse everything : from science to the monetary system as well as real solutions to improve everyone's life.A new and ´real´ way to see the world.
"Before the Big-Bang, till present, and beyond."
------------------------------------------------------------------------- - Video Language:
- English
- Duration:
- 20:19
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work | ||
Zift Ylrhavic Resfear edited English subtitles for (h) TROM - 2.4 Work |