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Antifrágil • 4 - Audiolivro - Capítulo 4: O Que Me Mata Deixa os Outros Mais Fortes

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0:01Antifragile : Things That Benefit from

0:04Chaos , by Nassim Taleb . Chapter 4. What

0:09Kills Me Makes Others Stronger . Layered

0:13Antifragility . This chapter is about

0:16error , evolution , and antifragility

0:18with the problem . It largely deals with

0:21the errors of others . The antifragility

0:24of some necessarily arises at the cost

0:26of the fragility of others . In a system

0:30, the sacrifices of some units , that is

0:33, fragile units or people , are often

0:35necessary for the well-being of other

0:38units or the whole . The fragility of

0:42each startup is necessary for the

0:44economy to be antifragile . And that is

0:47what makes entrepreneurship work , among

0:50other things : the fragility of

0:52individual entrepreneurs and their

0:55necessarily high failure rate .

0:58Antifragility then becomes a little

1:00more complicated and more interesting

1:03in the presence of layers and

1:04hierarchies . The natural organism is

1:07not a single final unit ; it is composed

1:10of subunits , and it itself can be the

1:12subunit of several larger collectives .

1:15These subunits can be confronted with

1:17each other . Let's look at another

1:20business example . Restaurants are

1:23fragile . They compete with each other .

1:27But the collective of local restaurants

1:29is antifragile for that very reason . If

1:31restaurants were individually robust

1:34and therefore immortal , the overall

1:37business would stagnate or weaken and

1:40offer nothing more than cafeteria food .

1:43And by that , I mean Soviet-style

1:45cafeteria food . Furthermore , it would

1:48be hampered by systemic shortages , an

1:51eventual general crisis , and government

1:54financial bailouts . All this quality ,

1:57stability , and reliability is due to

1:59the fragility of the restaurant itself .

2:03Thus , some internal parts of a system

2:06can be forced to be fragile in order

2:08for the system to become antifragile .

2:11Or the organism itself can be fragile ,

2:14but the information encoded in the

2:16genes that reproduce it will be

2:18antifragile . This is not a trivial

2:20matter , as it is based on the logic of

2:23evolution . This also applies to

2:25individual entrepreneurs and scientific

2:27researchers . Furthermore , we mentioned

2:30sacrifice a few paragraphs ago .

2:33Unfortunately , the benefits of mistakes

2:35are often attributed to others , to the

2:38collective , as if individuals were

2:40designed to make mistakes for the

2:42greater good and not for their own

2:45benefit . Sadly , we tend to discuss

2:48mistakes without considering this

2:51layered stratification and the transfer

2:54of fragility , evolution , and

2:58unpredictability . I stated that the

3:01notions of mithridization and ormesis

3:04were a proto-antifragility .

3:06Introductory concepts are even somewhat

3:09naive , and we will have to refine and

3:11even transcend them in order to analyze

3:14a complex system as a whole . Ormesis is

3:17a metaphor ; antifragility is a

3:20phenomenon . Firstly , mithridization and

3:24ormesis are only very weak forms of

3:26antifragility , benefiting in a very

3:29limited way from volatility , chance , or

3:32damage , and showing a certain reversal

3:35of the protective or beneficial effect

3:38beyond a certain dose . Ormesis

3:42appreciates only a little disorder , or

3:45rather , it needs a little disorder .

3:49Disorder is more interesting insofar as

3:52its deprivation is harmful , something

3:54that is not intuitively understood . Our

3:58minds cannot easily grasp complicated

4:01responses . We think linearly , and these

4:04responses from dependents are

4:06non-linear . Our linear minds dislike

4:09nuances and reduce information to the

4:12binary of harmful or useful . Second ,

4:16and this is the central weakness , our

4:19minds see the organism from the outside

4:21and consider it as a whole , a single

4:24unit , when things can be a little more

4:26subtle . There is a different and

4:30stronger variety of antifragility

4:32linked to evolution that goes beyond

4:35Ormesis . In fact , it is very different

4:38from Ormesis ; it is its opposite . It

4:41can be described as Ormesis ,

4:43strengthening itself in the face of

4:45damage , if we observe it from the

4:46outside and not from the inside . This

4:49other variety of antifragility is

4:51evolutionary and operates at the

4:53informational level . Genes are

4:56information . Unlike Ormesis , the unit

4:59does not become stronger in response to

5:02stress . It dies , but it concretizes a

5:05transfer of benefits . Other units

5:08survive , and those that survive have

5:11attributes that improve the collective

5:13of units , leading to modifications

5:16commonly attributed to the vague term "

5:19evolution " from textbooks and the

5:21Tuesday science section of The New York

5:24Times . Thus , the antifragility that

5:27deserves highlighting here is not so

5:30much that of the inherently weak

5:32organisms , but that of their genetic

5:34code , which can outlive them . The code

5:38doesn't really care about the

5:40well-being of the unit itself ; quite

5:42the contrary , since it destroys many

5:44things around it . Robert Trivers

5:47discovered the presence of competition

5:49between the gene and the organism with

5:52his idea of the selfish gene . In fact ,

5:55the most interesting aspect of

5:57evolution is that it only works because

6:00of its antifragility . It is enamored of

6:03stressors because of randomness ,

6:06uncertainty , and disorder . While

6:09individual organisms are relatively

6:12fragile , the genetic heritage takes

6:14advantage of impacts to enhance its

6:17performance . From this , we can perceive

6:20that there is a tension between nature

6:23and individual organisms . Everything

6:26that is alive or organic in nature has

6:28a finite life and eventually dies . Even

6:31Methuselah lived less than 1000 years ,

6:34but he generally dies after producing

6:37offspring with a genetic code , in one

6:39way or another , different from that of

6:42the progenitors , with his information

6:45modified . Methuselah's genetic

6:48information is still present in

6:50Damascus , in Jerusalem , and , of course ,

6:52in Brooklyn and New York . Nature

6:55doesn't consider its members very

6:58useful after their reproductive

7:00capacities are exhausted , except

7:02perhaps in special situations where

7:05animals live in groups , such as the

7:07need for grandparents among humans and

7:10elephants , in order to help others

7:13prepare their descendants to assume

7:16responsibilities . Nature prefers to let

7:19the game continue at the informational

7:21level , the genetic code . In this way ,

7:24organisms need to die so that nature is

7:27antifragile . Nature is opportunistic ,

7:30cruel , and selfish . As an example ,

7:33let's think of an immortal organism

7:35built without an expiration date . To

7:38survive , it needs to be completely fit

7:41for all possible random events that may

7:44occur in the environment . All future

7:48random events . Due to some unpleasant

7:53property , a random event is , let's say ,

7:56random . It doesn't announce its arrival

7:59in advance , making it possible for the

8:01organism to prepare and make

8:02adjustments to withstand the impacts .

8:05For an immortal organism ,

8:07pre-adaptation to all such events would

8:11be a necessity . When a random event

8:14happens , it's already too late to react

8:17. The organism should be prepared to

8:19withstand the impact or say goodbye .

8:22We've seen that our bodies somewhat

8:24overcome themselves in response to

8:27stressors , but this remains highly

8:29insufficient , as they still cannot

8:32predict the future . They can prepare

8:35for the next war , but lose it .

8:38Post-event adaptation , no matter how

8:41rapid , would always be slightly delayed

8:44. To satisfy the conditions of such

8:47immortality , organisms need to predict

8:50the future perfectly . Near perfection

8:53is not enough , but by letting organisms

8:56live one life at a time with

8:58modifications between successive

9:01generations , nature doesn't need to

9:03predict future conditions beyond the

9:06extremely vague idea of which direction

9:09things should go . In fact , not even an

9:12uncertain direction is necessary . Every

9:15random event will bring with it its own

9:18antidote in the form of ecological

9:20variation . It is as if nature

9:22transforms itself at every step and

9:24modifies its strategy at every instant .

9:27Consider this in terms of economic and

9:30institutional life . If it governed the

9:32economy , nature would not continually

9:35bail it out so that living beings would

9:37live forever , nor would it have

9:39permanent administrations and

9:41forecasting departments that would try

9:43to deceive the future . Nature would not

9:46allow the charlatans of the United

9:49States Office of Management and Budget

9:51to commit such errors , fruits of

9:54epistemic arrogance . If we look at

9:56history as a complex system similar to

9:59nature , then , like nature , it will not

10:02allow a single empire to dominate the

10:05planet forever , even if every

10:07superpower from the Babylonians to the

10:10Egyptians , from the Persians to the

10:12Romans , to modern America , had believed

10:15in the permanence of its domination and

10:18managed to produce historians to

10:20elaborate theories to that effect .

10:24Systems subject to randomness and

10:26unpredictability build a mechanism that

10:29goes beyond robustness to

10:31opportunistically reinvent themselves

10:33with each generation through continuous

10:36population and species change . Black

10:39swan management . Nature and similar

10:43systems appreciate diversity among

10:45organisms rather than diversity within

10:48an immortal organism . Unless you

10:52consider nature itself an immortal

10:54organism , as in Spinoza's pantheism or

10:57that present in Asian religions , or in

11:00the stoicism of Cryippus or Epictetus .

11:03If you encounter a historian of

11:05civilizations , try explaining this to

11:08them . Let's see how evolution benefits

11:12from randomness and volatility . To a

11:15certain extent , of course , the more

11:17noise and disturbances in the system ,

11:19up to a certain point — except for

11:22those extreme impacts that lead to the

11:24extinction of a species — the effect of

11:26the reproduction of the fittest and the

11:29effect of random mutations will act in

11:31defining the characteristics of the

11:33next generation . Let's say an organism

11:36produces 10 descendants . If the

11:39environment is perfectly stable , all 10

11:42will be able to reproduce . However , if

11:45there is instability , setting aside

11:47five of these descendants , who will

11:50likely be , on average , weaker than

11:53their surviving siblings , then those

11:56that evolution considers better overall

11:59will reproduce , causing the gene to

12:01adapt in some way , if there is

12:04variability among the descendants ,

12:06thanks to spontaneous , random ,

12:09occasional mutation , a kind of copying

12:12error in the genetic code . Then , the

12:15best should reproduce , improving the

12:18species . Therefore , evolution benefits

12:21from randomness in two ways : randomness

12:24in mutations and randomness in the

12:27environment . Both act similarly to

12:30cause changes in the characteristics of

12:32future generations . Even when an entire

12:36species becomes extinct as a result of

12:39some extreme event , this is not a major

12:41problem , as it is part of the process .

12:45This is still evolution in operation ,

12:48since the surviving species are more

12:51fit and take the place left by the lost

12:54dinosaurs . Evolution is not related to

12:58one species , but serves all of nature .

13:02However , understand that evolution

13:04appreciates randomness only up to a

13:07certain point . If a calamity completely

13:10eliminates life on our planet , the

13:13fittest will not survive . Similarly , if

13:18random mutations occur at too high a

13:22rate , the adaptive gain may not take

13:25hold ; it may even reverse thanks to a

13:28new mutation . As I will continue to

13:32repeat , nature is antifragile up to a

13:34point , but that point is quite high . It

13:37can withstand countless impacts . If a

13:41nuclear event eradicates most life on

13:44Earth , but not all life , some rat or

13:47some bacteria will emerge from nowhere ,

13:50perhaps from the bottom of the oceans .

13:54And the story will begin again , without

13:56us and without the members of the

13:58Secretariat of Management and Budget ,

14:01of course . So , in a way , while Ormesis

14:04corresponds to situations where the

14:06individual organism benefits from

14:09direct harm to itself , evolution occurs

14:12when the harm causes the individual

14:14organism to perish and the benefits are

14:17transferred to others , the survivors

14:20and future generations . To illustrate

14:24how families of organisms appreciate

14:26harm in order to evolve — again , up to

14:29a point , and not the organisms

14:31themselves — consider the phenomenon of

14:34antibiotic resistance . The more one

14:37tries to harm bacteria , the stronger

14:40they will survive , unless they are

14:43completely eradicated . The same happens

14:46with cancer therapy . Almost always , the

14:49cancer cells that manage to survive the

14:52toxicity of chemotherapy and radiation

14:55reproduce more rapidly and fill the

14:58void left by the weaker cells .

15:03Organisms are populations , and

15:05populations are organisms . I had the

15:08idea of seeing things in terms of

15:10populations and not individuals , with

15:12benefits for the latter resulting from

15:14harm to the former . This came from

15:17reading works on antifragility written

15:19by Antoine Dunchin , a physicist who

15:21became a geneticist . For him , analyses

15:24need to consider that an organism is

15:26not something isolated and independent .

15:28There are layers and hierarchies . If we

15:30think in terms of populations , we must

15:33transcend the terms ormesis and

15:35mithridization as characterizations of

15:38antifragility . Why ? To rephrase the

15:42argument presented earlier , ormesis is

15:45a metaphor for direct antifragility .

15:48When an organism directly benefits from

15:50harm , through evolution , something

15:52hierarchically superior to that

15:54organism benefits from the harm . From

15:58the outside , it seems that there is

16:00ormesis , but from the inside there are

16:02winners and losers . How does this

16:05stratification operate ? A tree has many

16:08branches , and these resemble small

16:10trees . Furthermore , these large

16:13branches have many more smaller

16:14branches , which resemble even smaller

16:17trees . This is a manifestation of what

16:20is called fractal self-similarity , a

16:22proposal by the mathematician Benoá

16:24Mandobr . There is a similar hierarchy

16:27in things , and from the outside we only

16:29distinguish the most superficial and

16:31apparent layer . The cell has a

16:33population of intracellular molecules .

16:36The organism , in turn , has a population

16:38of molecules , and the species has a

16:40population of organisms . A

16:42reinforcement mechanism for the species

16:44arises at the expense of some organisms

16:46, while the organism strengthens itself

16:48at the expense of some cells , both from

16:51top to bottom and from bottom to top .

16:53If you drink a poisonous substance in

16:56small quantities , for example , the

16:58mechanism by which the organism will

17:00recover is in accordance with

17:02evolutionary dunking within its system .

17:06In this way , the masses and weak

17:08proteins in the cells will be replaced

17:11by stronger , younger proteins , and the

17:13strongest will be spared , or something

17:16similar . When you feel hungry , it is

17:19the bad proteins that are broken down

17:22first and recycled by your own body .

17:25This process is called autophagy . This

17:28is a purely evolutionary process that

17:31selects and kills the weakest for the

17:33purposes of adaptation . But it is not

17:36necessary to accept the specific

17:38biological theory , such as aging

17:40proteins and autophagy , to understand

17:43the idea that survival pressures within

17:45the organism act on its overall

17:47improvement under the influence of

17:50external stress . Thank you . Mistakes .

17:58Now let's address mistakes and how some

18:01people's lapses benefit others . We can

18:04simplify the relationships between

18:07fragility , mistakes , and antifragility

18:09as follows . When you are fragile , you

18:12depend on things following the exact

18:14planned course , with as little

18:16deviation as possible , because

18:18deviations are more harmful than useful

18:20. This is why fragile people need to be

18:24very productive in their approach , and

18:26conversely , predictive systems cause

18:29fragility . When you want deviations and

18:33don't worry about the possible

18:35dispersion of results that the future

18:38may bring , since most will be useful ,

18:40you are antifragile . Furthermore , the

18:43random element of trial and error isn't

18:46entirely random if conducted rationally

18:49, using errors as a source of

18:51information . If each attempt provides

18:54you with information about what doesn't

18:56work , you begin to focus on a solution .

18:59Therefore , each attempt becomes more

19:01valuable , more like an expense than a

19:04mistake . And of course , you will make

19:06discoveries along the way , learning

19:12from the mistakes of others . Remember

19:15that this chapter is about layers ,

19:17units and hierarchies , fractal

19:20structure , and the difference between

19:22the interests of a unit and its

19:25subunits . Therefore , it is usually the

19:28mistakes of others that benefit us all ,

19:32and unfortunately , not them . We have

19:36seen that in the correct context ,

19:38stressors are information . For the

19:41antifragile model , the damage caused by

19:43errors should be less than the benefits

19:45. We are talking about some , not all ,

19:48errors . Of course , those that do not

19:51destroy a system help prevent greater

19:53calamities . The engineer and

19:56engineering historian , Henry Petrossky ,

19:59defends a very sophisticated point of

20:01view . If the Titanic accident had not

20:04been as fatal as it was , we would have

20:07continued to build ever larger ocean

20:09liners , and the next disaster would

20:12have been even more tragic . In this way

20:15, people were sacrificed in the name of

20:18the greater good , because , undeniably ,

20:21they saved more lives than were lost .

20:24The story of the Titanic illustrates

20:26the difference between the benefits to

20:28the system and the damage to some of

20:31its individual parts . The same can be

20:34said about the Fukushima disaster . It

20:37can be safely said that this tragedy

20:40made us aware of the problem with

20:42nuclear reactors and the small

20:45probabilities that prevented greater

20:47catastrophes . Notice that the errors of

20:51the naive , stress tests , and reliance

20:53on risk models became quite obvious at

20:56the time , just as the economic crisis

20:58before the accident was . Nobody wanted

21:01to listen to that . Each air accident

21:07brings us closer to safety , improves

21:09the system , and makes the next flight

21:12safer . Those that perish contribute to

21:16the overall safety of others . Suiz

21:21Flight 111 , TWA Flight 800 , and Air

21:24France Flight 447 enabled system

21:27improvement , but these systems learn

21:30because they are antifragile and

21:33configured to exploit small errors . The

21:37same , however , cannot be said about

21:39economic breakdowns , since the economic

21:42system , as currently constructed , is

21:45not antifragile . Why ? There are

21:49hundreds of thousands of flights every

21:52year , and an accident with one plane

21:54does not involve the others . That is

21:57why errors remain isolated and are

22:00highly epistemic . As globalized

22:03economic systems operate as a single

22:06element , errors propagate and combine .

22:12Once again , it's crucial to remember

22:15that we're talking about partial , not

22:18generic , small errors , not serious ,

22:20terminal ones . This distinguishes good

22:23systems from bad ones . Good systems ,

22:26such as airlines , are configured to

22:29have small errors , independent of each

22:32other , or , in fact , negatively

22:35correlated with each other , since

22:38errors decrease the chances of future

22:41errors . This is one way to understand

22:46how one environment can be antifragile ,

22:50aviation , and the other fragile , modern

22:53economic life , with its flat-Earth

22:56interconnectedness . If each plane crash

23:01reduces the probability of another ,

23:03each bank failure increases the

23:05probability of another occurring . We

23:09need to eliminate the second type of

23:12error , the one that produces contagion

23:14in our construction of an ideal

23:16socioeconomic system . Let's examine

23:20Mother Nature once more . The natural

23:25world was built from non-systemic error

23:27to non-systemic error . My mistakes when

23:30lifting stones , when I am

23:32well-structured , translate into small

23:34injuries that will guide me next time .

23:38When I try to avoid pain , after all ,

23:40that is the purpose of pain . Leopards ,

23:45whose movements are a true symphony of

23:48nature , are not guided by fit personal

23:52instructors to lift a deer to the top

23:55of a tree . Human advice may work with

23:59artificial sports like tennis , bowling ,

24:02or target shooting , but not with

24:05natural movements . Some companies revel

24:09in their own mistakes . Reinsurance

24:12companies that focus on catastrophic

24:15risks and are used by insurance

24:18companies to reinsure such

24:20non-diversifiable risks manage to fare

24:23well after a calamity or dark event

24:26that causes them to break their record .

24:30If they are still in business and

24:33prudent , few manage to plan for such a

24:36contingency . They compensate by

24:39disproportionately increasing premiums .

24:42Customers overreact and pay for the

24:45insurance . They claim to have no idea

24:48about fair value , that is , about

24:50appropriate reinsurance prices , but

24:52they know for sure that it becomes very

24:54expensive in times of stress , which is

24:57enough for them to accumulate money in

24:59the long term . All they need to do is

25:02keep their mistakes to a minimum so

25:04they can survive them . How to become

25:08Mother Teresa ? Variability provokes

25:12mistakes and adaptations . It also lets

25:15you know who your friends are . Their

25:18failures and successes will give you

25:20information . However , this is one of

25:22the good things in life . Sometimes you

25:25only know someone's character after

25:27you've hurt them with a mistake for

25:29which you are solely responsible . I am

25:32surprised by the generosity of some

25:34people in forgiving me for my mistakes .

25:38And of course , you learn from the

25:39mistakes of others . You never know what

25:42kind of person you are dealing with

25:44unless you are given opportunities to

25:47violate moral or ethical codes . I

25:50remember a classmate , a high school

25:53girl who seemed good and honest and was

25:56part of my childhood group of utopian

25:59anti-materialists . I learned that ,

26:02contrary to my expectations and her

26:05innocent gaze , she did not become

26:07Mother Teresa or Rosa Luxemburg , since

26:10she had abandoned her first and wealthy

26:13husband to be with another , even

26:15wealthier one , whom she abandoned after

26:18some financial difficulties , in

26:20exchange for another lover , even richer

26:23, powerful , and generous . In a

26:26non-volatile environment , I , and very

26:29likely she as well , would have mistaken

26:31her for a utopian and a saint . Some

26:34members of society , those who did not

26:37marry her , obtained valuable

26:39information , while others , her victims ,

26:43paid the price . Furthermore , I see a

26:46loser as someone who , after making a

26:49mistake , does not reflect on what

26:51happened , does not explore it , feels

26:55ashamed and defensive instead of

26:57improving with the new information , and

27:00tries to explain why they made the

27:02mistake instead of moving on . These

27:05types often consider themselves victims

27:08of some grand conspiracy , a bad boss ,

27:10or bad weather . Finally , a reflection .

27:15He who has never sinned is less

27:16trustworthy than he who has only sinned

27:18once . Someone who has made many

27:23mistakes , though never the same mistake

27:26more than once , is more reliable than

27:28someone who has never made any . Why

27:34does the collective hate the individual

27:36? We have seen that in biology ,

27:39antifragility works thanks to layers .

27:42This rivalry between suborganisms

27:44contributes to evolution . The cells

27:48within our bodies compete , and within

27:50them , proteins compete all the time .

27:53Let's translate the issue to human

27:55endeavors . The economy has an

27:58equivalent stratification : individuals ,

28:01artisans , small businesses , departments

28:03within corporations , industries , the

28:06regional economy , and at the top , the

28:08economy as a whole . One could even make

28:12finer cuts with a greater number of

28:14layers . For the economy to be

28:18antifragile and undergo what is called

28:21evolution , each enterprise must

28:23necessarily be fragile , exposed to

28:25disruption . Evolution requires

28:28organisms or their genes to die when

28:30supplanted by others , in order to

28:33achieve some improvement or to avoid

28:35reproduction when they are not as fit

28:38as the other individual . Thus ,

28:41higher-level antifragility may require

28:44fragility and sacrifices from

28:46lower-level antifragility . Every time

28:50you use a coffee machine to make your

28:52morning cappuccino , you are benefiting

28:54from the fragility of the coffee

28:56machine entrepreneur , who failed . He

28:59failed to help put a superior product

29:02on your kitchen counter . Consider also

29:06traditional societies . There , too , we

29:09have a similar stratification :

29:11individuals , immediate families ,

29:14extended families , tribes , people using

29:17the same dialects , ethnicities , groups .

29:21While sacrifice is common , for example ,

29:24in ant colonies , I am sure that

29:26entrepreneurs are not very interested

29:29in practicing haiku for the general

29:31good of the economy . They are ,

29:34therefore , necessarily concerned with

29:37seeking antifragility or at least some

29:39level of robustness for themselves .

29:43This is not necessarily compatible with

29:46the interest of the collective , that is

29:48, of the economy . Therefore , there is a

29:51problem where the property of the sum ,

29:54the aggregate , is different from the

29:56property of each of the parts . In fact ,

29:59it desires harm to the parts . It is

30:03painful to think of cruelty as an

30:05engine of improvement , but what is the

30:07solution ? There is none , unfortunately ,

30:09that can please everyone . But the way

30:12to mitigate the damage caused to the

30:14very weak . The problem is more serious

30:16than it seems . People go to business

30:19schools to learn how to do good while

30:22ensuring their survival . However , what

30:25the economy wants them to do

30:28collectively is not to survive , but

30:32rather to take on a lot of reckless

30:36risks and be blinded by adversity .

30:40Their respective sectors improve from

30:42failure to failure . Natural and

30:44nature-like systems want some

30:46overconfidence on the part of

30:48individual economic agents , that is ,

30:50the overestimation of their chances of

30:53success and the underestimation of the

30:55risks of failure in their businesses ,

30:58as long as their failure does not

31:00affect others . In other words , they

31:03want local overconfidence , but not

31:05global overconfidence . We have seen

31:09that the restaurant industry is

31:11wonderfully efficient precisely because

31:14restaurants , being vulnerable , go

31:16bankrupt every minute , and

31:17entrepreneurs ignore this possibility

31:20because they believe they will overcome

31:22adversity . In other words , some kind of

31:26reckless , even suicidal , risk-taking is

31:29healthy for the economy , provided that

31:32not everyone takes the same risks and

31:35that these risks remain small and

31:38localized . Now , when breaking the model

31:42, as we will see , with financial

31:45bailouts , governments usually favor a

31:47certain class of companies large enough

31:50to demand to be saved , in order to

31:52avoid contagion to other businesses .

31:56This is the opposite of healthy

31:58risk-taking ; it is the transfer of

32:00fragility from the collective to the

32:02inept . People have difficulty

32:05perceiving that the solution is to

32:07build a system in which the fall of one

32:10person cannot drag others down with

32:12them , because continuous failures work

32:14to preserve the system . Paradoxically ,

32:18many government interventions and many

32:20social policies have ended up harming

32:22the weakest and consolidating the

32:24established order . What doesn't kill me

32:29kills others . Pause to debunk a myth .

32:36As a defender of antifragility , I need

32:39to warn against the illusion of

32:41identifying it when it is , in fact , not

32:44present . We can confuse the

32:46antifragility of the system with that

32:48of the individual , when in reality it

32:50occurs to the detriment of the

32:52individual . The difference between

32:55ormesis and selection , Nietzsche's

32:57famous expression , " What doesn't kill

32:59me makes me stronger , " can easily be

33:01interpreted as mithridization or

33:03ormesis . It could be one of these two

33:06phenomena , but it could very well mean :

33:08what didn't kill me didn't make me

33:11stronger , but spared me because I am

33:13stronger than others , but it killed

33:15others and the average of the

33:17population is now stronger , because the

33:20weak are gone . In other words , I passed

33:24a conclusion test . In previous texts , I

33:27discussed the problem of the false

33:29illusion of causality with a newspaper

33:31article reporting that the new members

33:34of the mafia , former Soviet exiles , had

33:37become insensitive to a visit to the

33:39Gulag , the Soviet concentration camps .

33:42Since remaining in the Gulag killed the

33:44weakest , there was the illusion of

33:46strengthening . Sometimes we see people

33:49who have survived experiments and we

33:52imagine that , since the surviving

33:54population is more resilient , these

33:56experiments are good for them . In other

34:00words , the experiment may just be a

34:02ruthless test that kills those who fail

34:05. All we may be witnessing is that

34:07transfer of fragility , or rather , the

34:10antifragility of the individual to the

34:13system that I discussed earlier . Let me

34:16explain it another way . Of course , the

34:19surviving group is stronger than the

34:21initial one , but not exactly the

34:24individuals , since the weakest died .

34:27Someone paid the price for the system

34:29to improve . Me and us . This visible

34:34tension between individual and

34:35collective interests is new in history .

34:38In the past , it was dealt with almost

34:40considering the irrelevance of

34:42individuals . Sacrifice for the good of

34:45the group is behind the notion of

34:47heroism . It is good for the tribe , bad

34:49for those who perish under the spirit

34:52of war . This instinct for heroism and

34:55the attenuation of individual interests

34:57in favor of the community became

34:59shocking with suicide bombers .

35:02Pre-death terrorists enter a state of

35:04mind similar to a static trance in

35:07which their emotions lead them to

35:09become indifferent to their own

35:11mortality . It is a fallacy to say that

35:15suicide bombers are driven by the

35:17promise of reward from some Islamic

35:19paradise , replete with virgins and

35:21other entertainments . For , as

35:23anthropologist Scott Atlan pointed out ,

35:26the first suicide bombers in the Levant

35:29were revolutionaries of Greek Orthodox

35:32background , not Muslims . There is

35:36something like a switch within us that

35:38kills the individual in favor of the

35:41collective when people engage in

35:43communal dances , mass rebellions , or

35:45war . Their disposition becomes that of

35:49the herd . You are part of what Elias

35:51Canet calls a rhythmic and pulsating

35:54crowd . You might also consider yourself

35:57a different variety of the crowd

35:59experience during your next riot in the

36:01streets , when the fear of authorities

36:04disappears completely under the

36:05exaltation of the group . Now , let's

36:08generalize the issue . Observing the

36:10world from a certain distance , I

36:12perceive a complete tension between man

36:15and nature . Attention to the exchange

36:17of fragilities . We have seen how nature

36:20intends for the aggregate to survive .

36:23Not all species . Just as each species ,

36:26in turn , intends for its individuals to

36:29be fragile , especially after

36:30reproduction , so that evolutionary

36:33selection can occur . We have seen how

36:36this transfer of fragility from

36:38individuals to species is necessary for

36:40their overall survival . Species are

36:44potentially antifragile . Considering

36:46that DNA is information , but the

36:48members of the species are perishable ,

36:51therefore ready to sacrifice themselves

36:53and , in reality , designed to do so for

36:55the benefit of the collective .

36:58Antifragility and simple harmonic

37:00movement of antifragility . Some of the

37:05ideas about adaptation and selection

37:07presented here are not very comfortable

37:10for this author , which makes writing

37:12some passages quite difficult . I detest

37:15the cruelty of selection , the

37:17inexorable disloyalty of Mother Nature .

37:20I detest the idea of improvement

37:22through harm to others . As a humanist ,

37:25I am against the antifragility of

37:27systems at the expense of individuals .

37:30Because if we follow this reasoning , it

37:33makes us , human beings , individually

37:36irrelevant . The great advantage of the

37:39Enlightenment was to bring the

37:41individual to the forefront , with their

37:43rights , their freedom , their

37:45independence , their pursuit of

37:47happiness , regardless of what happiness

37:50means , and , above all , their privacy .

37:53Despite denying antifragility , the

37:56Enlightenment and the political systems

37:58that emerged from it somehow liberated

38:01us from the domination of society ,

38:03tribe , and family that had prevailed

38:06throughout history . Unity in

38:09traditional cultures is the collective ,

38:11and it could be perceived as something

38:14to be harmed by the behavior of an

38:16individual . Family honor is tarnished

38:19when , for example , a daughter becomes

38:22pregnant or someone is involved in

38:24large-scale financial fraud and Ponzi

38:26schemes , or worse , when someone teaches

38:29the charlatan discipline of financial

38:31economics in a university course . And

38:34these customs persist even recently ; in

38:37the late 19th or early 20th century , it

38:40was common , say , in rural France , for

38:43someone to spend all their savings to

38:45pay off the debts of a distant cousin .

38:49A practice called passer Leponge .

38:52Literally using a sponge to erase

38:54responsibility from the blackboard , and

38:57doing so to preserve the dignity and

38:59good name of the family . This was

39:03perceived as a duty . I confess to

39:05having done some things of that nature

39:07in the 20th century . It is evident that

39:10the system needs to exist for the

39:11individual to survive . Therefore , one

39:14must be careful in glorifying one

39:16interest at the expense of others when

39:19there is interdependence and complexity

39:21. In the CAR , the Sicilian Mafia , the

39:25designation of a man of honor , the Homo

39:28de Honore , suggests that a person

39:30captured by the police will remain

39:33silent and will not betray their

39:36friends , regardless of benefits , and

39:38that life in prison is preferable to a

39:41confession of guilt that would harm

39:44other members . The Cossanostra tribe

39:47comes before the individual , and what

39:50ended the Mafia was the recent

39:52generation of members who opted for

39:54plea bargaining . Note that honor in the

39:58Mafia is limited to such group

40:00solidarity . Otherwise , they lie , and

40:03there is nothing honorable about them

40:06in other domains . And they kill people

40:09from behind , something that on the

40:11eastern side of the Mediterranean is

40:13considered the purest form of cowardice

40:15. Similarly , we humans may have to be

40:19self-centered at the expense of other

40:22species at the risk of ecological

40:25fragility . If this guarantees our

40:28survival , our interests as a human race

40:31prevail over those of nature , and we

40:34can tolerate some inefficiency , some

40:36fragility in order to protect

40:38individuals . Although sacrificing

40:41nature too much may ultimately harm us .

40:45We have seen the trade-off between the

40:46interests of the collective and those

40:48of the individual . An economy cannot

40:50survive without breaking individual

40:53eggs . Protection is harmful , and

40:56restricting the forces of evolution to

40:59benefit individuals does not seem

41:01necessary , but we can protect

41:03individuals from hunger , provide some

41:06social protection , and offer them

41:09respect or more , as we will see later .

41:15National Entrepreneur Day . At the same

41:20time , if , as a true utopian , I hate

41:23what I'm thinking , I think there is

41:26hope . The heroism and the respect it

41:30deserves are a form of compensation

41:33from society for those who take risks

41:36on behalf of others . Entrepreneurship

41:39is a risky and heroic activity ,

41:42necessary for the growth or even the

41:45simple survival of the economy .

41:48Entrepreneurship is also necessarily

41:50collective for epistemological reasons ,

41:53in order to facilitate the development

41:55of skills . Someone who hasn't found

41:58something is providing knowledge to

42:00others . The best knowledge , that of

42:02absence , that which doesn't work , even

42:05if they receive little or no credit for

42:08it . This is a central part of the

42:11process that encourages reaching out to

42:13others . What is worse is not respected .

42:19I don't recognize the importance of the

42:22man whose overconfidence led him to

42:25open a restaurant and fail , enjoying my

42:28pleasant meal while he is probably

42:30eating instant noodles . To progress ,

42:34modern society should be treating

42:36ruined entrepreneurs in the same way we

42:39honor fallen soldiers . Perhaps not with

42:42as much honor , but using exactly the

42:44same logic . The entrepreneur is still

42:47alive , although perhaps morally

42:49defeated and socially stigmatized ,

42:52especially if he lives in Japan ,

42:54because there is no such thing as a

42:57failed soldier , alive or dead , unless

43:00he acted cowardly . Similarly , there is

43:04no such thing as a failed entrepreneur

43:07or a failed scientific researcher , just

43:09as there is no successful chatterbox ,

43:12philosopher , commentator , consultant ,

43:15lobbyist , or business school professor

43:18who doesn't take personal risks . Excuse

43:22me . Psychologists consider

43:24overconfidence a disease , blinding

43:26people to the probabilities of success

43:29when they engage in ventures . But there

43:33is a difference between benign , heroic

43:35risk-taking , which is beneficial to

43:38others — in the antifragile case — and

43:41the more unpleasant modern type ,

43:43related to negative black swans , such

43:46as the overconfidence of scientists

43:48calculating the risks of damage caused

43:51by the Fukushima reactor . In the first

43:55case , what they call overconfidence is

43:57a good thing , not a bad thing . And

44:00let's compare entrepreneurs with the

44:02meticulous business managers who climb

44:05the hierarchical ladder almost never

44:07facing any real disadvantage . Their

44:09group is rarely at risk . What Erasmus

44:12called * ingratitudo vuge * . The

44:16ingratitude of the masses is increasing

44:18in the age of globalization and the

44:20internet . My dream , the solution , is

44:23that we would have a National

44:25Entrepreneur Day with the following

44:28message : " Most of you will fail , be

44:30disrespected , become impoverished , but

44:33we are grateful for the risks you are

44:36taking and the sacrifices you are

44:38making for the sake of the planet's

44:41economic growth and forcing others out

44:44of poverty . " You are at the origin of

44:47our antifragility . The population

44:49thanks you .

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