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The Future Of Reasoning — Transcript

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  1. 0:01The Future of Reasoning
  2. 0:03Hey Vsauce!
  3. 0:04Michael here.
  4. 0:05Where is your mind?
  5. 0:07Is it in your head?
  6. 0:10I mean, that’s where your brain is — and your brain remembers, plans, makes judgements,
  7. 0:17solves problems … but you also remember and plan with things like these and this.
  8. 0:25And you solve problems and make judgements with all sorts of other stuff, too.
  9. 0:33The more you think about it, the more you realize that while the brain is a wet lump
  10. 0:40of fat and protein, no firmer than a glob of tofu, the MIND is something much larger:
  11. 0:48it’s an ever-expanding organ of tissue AND wood and stone and steel.
  12. 0:53And people.
  13. 0:55Because of communication we can even make OTHER PEOPLE extensions of our minds.
  14. 1:02We can access their memories and perceptions and knowledge by simply asking.
  15. 1:07Or not.
  16. 1:09I don’t need to learn how to fix a car AND practice medicine AND vulcanize rubber OR
  17. 1:14remember everything … other people are doing that for me just as I do things for them.
  18. 1:20We are a species of individuals that is also one big interdependent lumbering growth.
  19. 1:27A frantic blur of flesh and concrete.
  20. 1:31A ‘techno sapien’ powered by imaginations and passions made real by a hallowed faculty
  21. 1:38we call REASON.
  22. 1:39Reason, it is said, guides us to truer knowledge and better decisions.
  23. 1:45It’s allowed us to increase life-expectancy, suffer less, work together better, and it’s
  24. 1:51bound to take us further and higher until the end of time.
  25. 1:56Or is it?
  26. 1:58The organ we USE to reason takes millions of years to evolve, but the fruits of reason
  27. 2:05grow rapidly and are ever accelerating.
  28. 2:08In the next four decades, we’re expected to build the equivalent of another new york
  29. 2:13city every month
  30. 2:15More concrete was installed in the last two decades outside the US than the US installed
  31. 2:22during the entire 20th century.
  32. 2:25This growth means that quality of life around the world is rising.
  33. 2:29It means that electricity, manufactured goods, food, comfort and transportation are all becoming
  34. 2:35more common and accessible.
  35. 2:38But there are hints that reason and logic are struggling aginst the complexity of it
  36. 2:44all; against our growing dependence on the things we’ve built and their unintended
  37. 2:50consequences.
  38. 2:52Nearly every part of life as we know it today involves or relies on a process that releases
  39. 2:59molecules with lopsided electrical charges.
  40. 3:02This property causes them to absorb and re-emit thermal radiation, pinging it around so that
  41. 3:08it escapes into space more slowly.
  42. 3:11Having more warmer parcels of air means stronger weather events.
  43. 3:15They can’t be pinned on any particular extreme storm, but they make extreme storms in general
  44. 3:21more extreme and frequent.
  45. 3:23What’s a stake isn’t just ‘bad weather’ it’s disaster: it’s more lives lost, more
  46. 3:29property lost, it’s more droughts, more hunger, more famine, more people needing refuge,
  47. 3:34and a even greater reliance on the very things that caused the problems in the first place.
  48. 3:40In total, we release about 51 billion tons of such gases every year and we need to release
  49. 3:48zero.
  50. 3:50But how do you re-think … everything?
  51. 3:56Who gets to direct the costs and tradeoffs?
  52. 4:00How do you achieve collaboration between nearly every local and national government when what
  53. 4:05works in one place won’t work everywhere, when decisions effect jobs in one place and
  54. 4:11food in another.
  55. 4:12When not just things need to be re-thought, but also habits and traditions and values.
  56. 4:19How do you achieve consensus when a problem isn’t obvious to the senses, is far away
  57. 4:25in space and time, requires solutions that affect people in different ways, and as a
  58. 4:30product of science, always carries some uncertainty?
  59. 4:36The philosopher Timothy Morton calls something so massively distributed in time and space
  60. 4:42and so viscous — so STICKY that it adheres to all that touch it, a HYPEROBJECT.
  61. 4:50Every civilizations that grows at the speed of reason must at some point face hyperobjects.
  62. 4:56In fact, the fact that we still haven’t found evidence of intelligent life beyond
  63. 5:02Earth has been brought up as evidence that some sort of GREAT FILTER, might exist that
  64. 5:08few civilizations manage to get past.
  65. 5:12That a hyperobject like our impact on the planet might be such a great filter is not
  66. 5:19a new idea.
  67. 5:20What it’ll take to solve it is the topic of Bill Gate’s HOW TO AVOID A CLIMATE DISASTER.
  68. 5:26And I decided to do this video in partnership with him and his team because the way we deal
  69. 5:31with hyperobjects reveals a lot about the mind.
  70. 5:35It’s easy — and common! — to think that we would all be better off if everyone was
  71. 5:40just more rational.
  72. 5:43But what if reasoning wasn’t built for what we’ve become?
  73. 5:48Let’s begin by looking at behavioral inertia.
  74. 5:53Behavioral inertia is the tendency to keep doing what you’re already doing.
  75. 5:57Status quo bias.
  76. 5:59It can be a frustrating bias if you desire change, but its origin isn’t a flaw.
  77. 6:04If an organism has managed to survive long enough to reproduce and provide and care for
  78. 6:10its offspring, then the state of its world, was sufficient for its genes to spread.
  79. 6:16That’s all it takes to persist.
  80. 6:18The types of organisms we see around us will naturally be those that managed to persist
  81. 6:24and didn’t, after reaching the point at which they could persist, rock the boat too
  82. 6:27much.
  83. 6:29Behavioral inertia can help slow down the accumulation of unintended consequences and
  84. 6:35the loss of ideas that work, but it can also slow down innovation and adaptation.
  85. 6:42If the environmental impacts of our society were more immediate and un-ignorable, it wouldn’t
  86. 6:49be so tempting to apply this inertial brake.
  87. 6:52But emissions are invisible and their consequences aren’t immediate or local.
  88. 6:59They impact future people and people far away.
  89. 7:02Those who are different from us, poorer than us, people we will never meet.
  90. 7:07This may be one of the first challenges advancing civilizations face: weilding not just the
  91. 7:13power of technology and distributed cognition, but also the responsibilities.
  92. 7:19Extending not just the mind but also EMPATHY could certainly be a great filter.
  93. 7:28Our lower instincts may bias us, but surely, REASON can help us navigate towards the future
  94. 7:34we want, right?
  95. 7:36Well, what IS reason?
  96. 7:38It’s a way of making inferences.
  97. 7:41An inference is any new information extracted from the information you already have.
  98. 7:48We make inferences all the time — every living thing does.
  99. 7:54We don’t have measuring-tape tentacles that shoot from our eyes, and what actually enters
  100. 7:59our brain is just a 2D image, but our brains nonetheless INFER depth by attending to cues
  101. 8:06like stereopsis, occultation, perspective, parallax, size…
  102. 8:10When this happens, we accept it as reality.
  103. 8:15We aren’t aware of the visual processing that made it possible and don’t have to
  104. 8:20be.
  105. 8:21If, however, we do consciously consider WHY a certain conclusion was reached, then BOOM
  106. 8:27that’s REASONING.
  107. 8:28Reasoning is the process of making inferences not automatically and instrinctively, but
  108. 8:34by looking at facts and seeing what conclusion they support.
  109. 8:39When Eratosthenes calculated the circumference of the Earth to within a percentage or two
  110. 8:43of the value accepted today, he didn’t do it by MEASURING the Earth and he didn’t
  111. 8:48just percieve it as self-evident, he INFERRED it from what he knew about shadows and how
  112. 8:55long it took camels to move.
  113. 8:57Stories like that make it easy to believe that reasoning evolved because it supercharged
  114. 9:02our abilities; it clearly moves us towards truer conclusions, better decisions, and knowledge
  115. 9:09no other species could infer.
  116. 9:12Attempts to describe the rules of good, orderly reason, became logic and mathematics, concepts
  117. 9:19so general and abstract that while we were still animals, armed with them, we were no
  118. 9:26longer beasts.
  119. 9:27But that’s the rub, isn’t it?
  120. 9:31If reasoning is so great, why are we the only species with such a sophisticated grasp of
  121. 9:37it?
  122. 9:38And if its purpose is truth and good judgement, why don’t we all agree on everything?
  123. 9:44These questions make up what Hugo Mercier and Dan Sperber call the Enigma of Reason.
  124. 9:46It’s tempting to think that disagreements happen because while I’M being rational,
  125. 9:52those who disagree with me are being irrational.
  126. 9:54Urgh!
  127. 9:55If only people would use reason and logic.
  128. 9:58What’s happened to the world!
  129. 10:00That’s a fair complaint if you’re arguing over logic puzzles, but the world is not a
  130. 10:07logic puzzle.
  131. 10:09this, however, is:
  132. 10:11Paul is looking at Mary.
  133. 10:14Mary is looking at Peter.
  134. 10:16Paul is married.
  135. 10:18Peter is unmarried.
  136. 10:19Is a married person looking at an unmarried person?
  137. 10:24Yes.
  138. 10:25No.
  139. 10:26Or not enough information to decide?
  140. 10:29think about it.
  141. 10:32The answer is YES.
  142. 10:35You may have thought there’s no way to know, because we don’t know if Mary is married.
  143. 10:40But she either is or she isn’t.
  144. 10:43And if she IS, then she, a married person, is looking at Peter, an unmarried person.
  145. 10:49If she ISN’T then Paul, a married person, is looking at her, an unmarried person.
  146. 10:56No matter what Mary’s deal is, the answer will be YES.
  147. 11:01When people get this puzzle wrong and the correct answer is explained to them, they
  148. 11:05almost always immedaitely see why it’s right and change their mind.
  149. 11:11Life is not usually like that.
  150. 11:13Now, take a look at this logical syllogism:
  151. 11:17All elephants are awesome.
  152. 11:20Michael is an elephant.
  153. 11:23Therefore, Michael is awesome.
  154. 11:25This conclusion is logically valid.
  155. 11:27But it’s not SOUND.
  156. 11:28The conclusion follows from these assumptions, but are these assumptions true?
  157. 11:32No.
  158. 11:33I am NOT an elephant.
  159. 11:37Also, this premise … is subjective.
  160. 11:40What does it MEAN to be awesome?
  161. 11:42Can you measure it with an awesome-ometer?
  162. 11:45So you can see why, when analyzing something like our impact on the planet, logic can only
  163. 11:50be a partial tool.
  164. 11:53If some people have more to lose than others, who gets to decide which are fair?
  165. 11:59Still, though, it would seem that reasoning should be able help out here.
  166. 12:04If each of us would just attend to ONLY the facts, surely we’d all recognize the same,
  167. 12:12reasonable approach.
  168. 12:13Problem is, that’s not how reasoning works.
  169. 12:18Since the scientific study of human reasoning began about a hundred years ago, it’s been
  170. 12:23found again and again that we’re not only BAD at reasoning, lazy and biased, but almost
  171. 12:31seem PROGRAMMED to be bad.
  172. 12:34Like the flaws are intentional…
  173. 12:36In an episode of Mind Field I once used a magician to pull off a little experiment.
  174. 12:42He asked people to look at two faces and choose which of the two they would prefer to work
  175. 12:48with, placing their preferences in one pile, and those they rejected into another.
  176. 12:53Then, the pile of people they picked were shown again and each person was asked to provide
  177. 12:59a REASON for why they chose that person.
  178. 13:02But with a little slight of hand, the magician managed to sneak in some of the faces they
  179. 13:07had just rejected.
  180. 13:08Amazingly, the majority of people didn’t even notice the trick.
  181. 13:13Not only that, they were able to effortlessly explain the reasons behind their choice — a
  182. 13:19choice they never actually made.
  183. 13:23Remembering faces you’ve only seen briefly isn’t the easiest thing to do, but other
  184. 13:27studies have shown that even if the task involves answering questions about one’s political
  185. 13:32beliefs — things we would seemingly have a firmer grasp on — still nearly half of
  186. 13:37participants will fail to notice that answers they gave have been reversed when they’re
  187. 13:43later asked to explain them.
  188. 13:46Point is, we seem practically BUILT to give reasons for whatever we think we must, and
  189. 13:52NOT the reasons we actually used to reach a conclusion.
  190. 13:56What if we don’t even USE reasons to form our beliefs?
  191. 14:02Let’s talk about INTUITIONS.
  192. 14:05Our brains have evolved over millions of years to react to the world around us in brilliant
  193. 14:10ways with little to no input from us.
  194. 14:12For example, when you notice that someone is upset, you’ve don’t consciously think,
  195. 14:18“ok, so their eyebrows and oriented like that, their speaking is curt, their posture
  196. 14:24… hmmmm … ah ha! those are reasons to conclude that they are upset!”
  197. 14:29Instead, the belief that they may be upset was just apparent.
  198. 14:34You intuited it.
  199. 14:36You ‘know’ it without exactly know HOW you exactly you came to know it.
  200. 14:41The mood recognizing parts of your brain operate in a way that is opaque to your awareness.
  201. 14:47BUT if someone asks you, why you think they’re upset, you can nonetheless produce all sorts
  202. 14:54of reasons — some may have been the ones your brain actually attended to.
  203. 14:58But they’re all just guesses.
  204. 15:01Instead of using reasoning to COME to conclusions, we use conclusions to come to reasons.
  205. 15:09To be fair, we CAN go the other way.
  206. 15:11We love puzzles and when we don’t have a strong intuition either way, we can sit down
  207. 15:15and mull over various reason to think one thing or another.
  208. 15:19Our love of puzzles suggests that reasoning has a survival value.
  209. 15:24Organisms that found it pleasurable would be more likely to use it.
  210. 15:27But when we reason alone, even when we have no motivation to reach any particular conclusion,
  211. 15:33we STILL exhibit deep biases that seem less like mistakes and more like features.
  212. 15:40For example, it’s been shown that between two otherwise similar products, people will
  213. 15:45prefer to buy the one with more features — even if they don’t want those features, never
  214. 15:50plan to use them, and think they’re all pointless and over complicated.
  215. 15:54Why?
  216. 15:55Well it might be that we find such decisions easier to justify … to OTHERS.
  217. 16:02We won’t feel embarrassed if someone criticizes us for getting fewer features.
  218. 16:08After decades of findings like this, Hugo Mercier and Dan Sperber began to hypothesize
  219. 16:14that reasoning to help us make better decisions, but instead, to help us make social decisions.
  220. 16:22Humans inhabit a cognitive niche on this planet.
  221. 16:25We aren’t strong or sharp or hidden or venomous, instead, our advantage comes from cognition:
  222. 16:32reasoning and cooperation.
  223. 16:34We can plan hunt, build traps, and engage in coordinated strategies that can be tested
  224. 16:39and modified on the fly, not by millennia of evolution.
  225. 16:44Reasons allow us to so those things.
  226. 16:47It’s hard to convince people that your intuitions are true.
  227. 16:50But if you can give REASONS for them, its a whole heck of a lot easier to convince other
  228. 16:54people that you’re right.
  229. 16:59Reason also allows us to justify ourselves in the eyes of others.
  230. 17:06To explain who we are and express the kinds of reasons we like, what other people can
  231. 17:11expect from us, and what we will likely expect from them.
  232. 17:15This social theory of reasoning helps explain why two people can earnestly and rationally
  233. 17:22arrive at different views.
  234. 17:23They each have their own unique brain and values and dispositions and experiences and
  235. 17:29THAT’S what drove their thinking.
  236. 17:31The reasons they give may or may not be the REAL reasons they came to their conclusions,
  237. 17:36but it’s the best anyone can do.
  238. 17:39The social theory also explains why people tend to give such weak reasons for their beliefs
  239. 17:45at first or when their intended audience doesn’t need much convincing.
  240. 17:49It would be a waste of time and cognitive reasources to construct grand slam reasons
  241. 17:55for everything I said and did and thought when it wasn’t necessary.
  242. 18:00Instead, I can off-load some of the work to other people.
  243. 18:04If I say, “I want to have lunch at ABC Burgers” my friend might say, “ah, no thanks, I had
  244. 18:12burgers yesterday” and I might reply back, “oh well that’s no problem, they also
  245. 18:17have hot dogs and great salads”
  246. 18:20But if my friend said “ah, no thanks, I’m trying to spend less money eating out this
  247. 18:25month” I might reply, “oh well ABC Burgers is really cheap and I;ve got a coupon!”
  248. 18:32What’s going on there is that I’m providing reasons only as my interlocutor presses for
  249. 18:37them.
  250. 18:38If they press harder and harder, my reasons will become better and better until either
  251. 18:42I win them over, or we come to some different, more harmonious decision.
  252. 18:47So when people appear to be lazy reasoners or to have bad reasons or none at all, it’s
  253. 18:54usually just the case that they’re using reason as it evolved to function; socially.
  254. 19:00It starts off weak, improving if others push it and always tailoring its work to an intended
  255. 19:06audience.
  256. 19:08the social theory of reasons can even explain the existence of biases that otherwise make
  257. 19:14little sense.
  258. 19:15For example, it would seem that in coming to conclusions about the world, it would behoove
  259. 19:20an organism to pay particular attention to information that went against what it believed.
  260. 19:25That way, they would be able to adjust their beliefs making them truer, more general, and
  261. 19:30more complete.
  262. 19:32To a certain extent, that IS what happens … but not always.
  263. 19:35When someone “does their own research” they often come to the very conclusion they
  264. 19:41wanted after all.
  265. 19:42When a person strongly believes that our impact on the planet isn’t a problem, they tend
  266. 19:43to gravitate towards reasons it might not be and see such reasons in all kinds of data.
  267. 19:44This is called the CONFIRMATION BIAS: our tendency to look for, prefer, and interpret
  268. 19:50information so that it confirms what we already think.
  269. 19:54It frustrates our ability to accept new, inconvienent data and is a problem for the intellectualist
  270. 20:01view of reason.
  271. 20:03If reason is for finding truth and making better decisions, why would it have this major
  272. 20:08weakness?
  273. 20:10Because, the social theory says, reasoning is a GROUP ACTIVITY.
  274. 20:16If I think that option A is true and the best, and you think option B is true and the best,
  275. 20:24if we both researched BOTH options and sifted through reasons in support of BOTH options,
  276. 20:30we would both have twice the work to do than we would if, instead, I simply came up with
  277. 20:36reason for why I was right, and you attended to reasons for why YOU were right.
  278. 20:41The confirmation bias at least HALVES the cognitive work that must be done.
  279. 20:46Now sometimes a lone reasoner will have a bad idea.
  280. 20:52Or a decent idea with some bad parts.
  281. 20:55The reasons they have to justify and argue for it will be suffiencent for them and those
  282. 21:01who intuitively agree but may be weak.
  283. 21:04But subjected to deliberation, put forth into the machine of collective thought, it can
  284. 21:09be evaulated and judged not by one mind or a group of minds thinking alike, but by something
  285. 21:16special … the crowd.
  286. 21:20Humans have long known of the WISDOM OF THE CROWDS: the phenomenon by which a collection
  287. 21:25of many people can process information into a conclusion better than any one person could
  288. 21:30do alone.
  289. 21:31It’s why we don’t trust big decisions to a single person, no matter how educated
  290. 21:36or powerful they are.
  291. 21:38Instead, we ask a group of to deliberate.
  292. 21:42To reason together.
  293. 21:44In this way, the biases and errors of each is smoothed out and the decision wiser.
  294. 21:49In a famous example, it’s been repeatedly shown that if you ask a bunch of people to
  295. 21:54guess how many jelly beans are in a jar, you’ll find that the average of all of their answers
  296. 22:00is CLOSER TO THE REAL NUMBER than any one individual was alone.
  297. 22:04Even the smartest individual.
  298. 22:05What happens is that although some people may guess a number way too big, that mistake
  299. 22:11is balanced out by the fact that others will inevitably guess a number way too small.
  300. 22:17All together, their disagreement evens out into spectacular accuracy.
  301. 22:24We have now arrived at the problem.
  302. 22:28Reasoning evolved to be used socially where many different perspectives had to all deliberate
  303. 22:34towards a common conclusion.
  304. 22:37Such contexts are becoming less and less common.
  305. 22:40And it is becoming easier and easier to simply be a lone reasoner, justifying only a particular
  306. 22:46viewpoint without doing the harder work of deliberating and acting.
  307. 22:52The internet gives voices to more perspectives than ever before in our history, but it also
  308. 22:57makes it easy to disengage from accountability and find places where everyone believes what
  309. 23:03you do.
  310. 23:04Furthermore, because of technology, we confront more issues more rapidly than ever before
  311. 23:10that we’re expected to have opinions about.
  312. 23:13And the growing complexity and specialization of the modern world makes it difficult for
  313. 23:18each of us to have well-informed prepared reasons for the acceleraeting accretion of
  314. 23:23intutions we must form.
  315. 23:24in response, we look for lone reasoners who can defend our intuitions for us.
  316. 23:29They reasons they give don’t need to be good, just good ENOUGH that we can feel like
  317. 23:34justification exists.
  318. 23:36In the past, unconvincing reasons had to be painted on sandwich boards.
  319. 23:42But now, the democritization of communication means that even unpopular, unconvincing, nonsensical
  320. 23:48ideas can be presented with the same trust-inducing typefaces and professional look as common
  321. 23:55ones.
  322. 23:56Those who disagree may challenge the reasons you’ve been given, show them to be contradictory,
  323. 24:00and produce betters ones for THEIR side, but to what end?
  324. 24:04It’s all preparation for a debate that never comes.
  325. 24:08You play a very small role in deciding how society is run.
  326. 24:13Even if a good faith discussion between a representative slice of America came to a
  327. 24:18resolution, if nothing can come of it, why not just throw shade and sick burns or revel
  328. 24:24in the pleasure of reasoning by treating everything like a big giant puzzle?
  329. 24:29It's easy to think that it doesn’t matter, because after all, those in charge, the brilliant
  330. 24:35scientists and powerful billionaires, will surely come to our rescue.
  331. 24:40Some giant TECHNOSALVATION is surely on the horizon.
  332. 24:46Perhaps it is.
  333. 24:48But everything we know about reason suggets that those implementing it should be held
  334. 24:53accountable by as many different perspectives as possible.
  335. 24:58Leaders could lead deliberations and be elected for their ability to moderate social reasoning,
  336. 25:04but that’s boring!
  337. 25:05Why lead when you could follow: look at what some people believe and generate reasons for
  338. 25:10why they’re right, and they’ll love it!
  339. 25:13Of course, the hard work — the REAL work — the work that truly elevates us on this
  340. 25:18planet, is not in telling poeple that they’re right, but in trying to convince others and
  341. 25:24in so doing, use reason as it evolved to be used.
  342. 25:29The future of reason may in fact be the past of reason.
  343. 25:35In practice, what does all this look like?
  344. 25:38Some researchers have gone so far as to recommend national deliberation days where citizens
  345. 25:44celebrate by literally joining small groups and talking through their opinions and comparing
  346. 25:49reasons.
  347. 25:51Tests of such strategies have shown that a return to the small, targeted discussions
  348. 25:56our reasoning abilities evolved to excel in leaves all participants with a greater understanding
  349. 26:02of not just what they believe and why, but about decisions that could actually be made
  350. 26:07and actions that could be taken.
  351. 26:10Others have gone even further, recommending that the true future of reason at its best
  352. 26:16is the construction of a lottocracy.
  353. 26:19A form of government where decisions are made not by elected leaders, but by people literally
  354. 26:26chosen at random.
  355. 26:28We decide the fate of a person this way, why not the fate of the people?
  356. 26:34What IF decisions were made not by politicians alone, but at least occasionally by groups
  357. 26:40of actual citizens representing differences in thought, not just geography, who were brought
  358. 26:45together and paid for their time to learn from experts and then deliberate on an assigned
  359. 26:51issue until a conclusion was reached or, at the least, a recommendation?
  360. 26:56Instead of being motivated by re-election, money, attention, and power, individuals chosen
  361. 27:02at random would have only their conscious to guide them.
  362. 27:06Special interests and corporations wouldn’t be able to cozy up to those likely to be elected
  363. 27:11— if any one of us could some day serve, they’d have cozy up to and protect … all
  364. 27:19of us.
  365. 27:20Instead of the learning and deliberation being done by people you never meet with offices
  366. 27:25in buildings you can’t access, gradually, over time, more and more of your very own
  367. 27:30neighbors would have had the honor.
  368. 27:33People chosen at random would obviously lack the same celebrity status and mandate that
  369. 27:39elected leaders cultivate and achieve — and iconic figures we relate to aren’t bad — but
  370. 27:46our understanding of reasoning is making it more and more clear that we evolved not to
  371. 27:50be leave thinking up to a few great minds, but to the authorty of THE great mind.
  372. 27:57The lumbering organ of thought that is everyone and everything.
  373. 28:03This is, in fact, how democracy first worked: lotteries were used to fill many political
  374. 28:08positions in Anceint Athens.
  375. 28:10Aristotle explained that
  376. 28:12“the appointment of magistrates by lot is thought to be democratic, and the election
  377. 28:17of them is oligrchic”
  378. 28:19where an oligrachy is government by only a small number of people.
  379. 28:25Regardless of HOW reason is brought back to its social roots, if we can build more and
  380. 28:30better areanas for deliberation and use them to apply reason properly to hyperobjects like
  381. 28:36the impact of emissions on the planet, we’ll have taught one heck of a lesson to people
  382. 28:41a hundred, a thousand years into the future.
  383. 28:44I like to think that although widening participation will be difficult, it might provide us all
  384. 28:51with a kind of existential security.
  385. 28:54The impact of emission on our planet is not going to be the last hyperproblem we face.
  386. 29:00If we can do a good job with it, maybe far in the future, when our civilization has advanced
  387. 29:05to the point at which people can be quantumly re-recreated or something, they’ll look
  388. 29:09back at our time and say, hey, let’s bring them all back to life.
  389. 29:16We could use the cooperative abilities they had then.
  390. 29:19Ultimately, the old saying that “history is the great teacher” isn’t a bad guide.
  391. 29:26We will all some day be teachers ourselves because some day we will all be history, too.
  392. 29:32we will some day be the ancients.
  393. 29:37And we can choose what that will mean.
  394. 29:40And as always, thanks for watching.

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