Your words may predict your future mental health | Mariano Sigman

803,228 views ・ 2016-06-16

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Translator: Enara Caride Reviewer: Serv. de Norm. Lingüística U. de Santiago de Compostela
Existen rexistros históricos que nos permiten saber
00:13
We have historical records that allow us to know how the ancient Greeks dressed,
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como vestían os antigos gregos,
como vivían,
00:18
how they lived,
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00:19
how they fought ...
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como loitaban...
mais, como pensaban?
00:21
but how did they think?
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00:23
One natural idea is that the deepest aspects of human thought --
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Unha idea natural é que os aspectos máis profundos do pensamento humano
00:27
our ability to imagine,
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--a nosa capacidade para imaxinar,
00:29
to be conscious,
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para sermos conscientes,
00:31
to dream --
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para soñar--
00:32
have always been the same.
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foron sempre os mesmos.
00:34
Another possibility
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Outra posibilidade
00:36
is that the social transformations that have shaped our culture
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é que as transformacións sociais que deran forma á nosa cultura
puideran cambiar tamén as columnas estruturais do pensamento humano.
00:40
may have also changed the structural columns of human thought.
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00:44
We may all have different opinions about this.
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Pode que todos teñamos opinións diferentes sobre isto.
00:47
Actually, it's a long-standing philosophical debate.
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Realmente, trátase dun vello debate filosófico.
00:50
But is this question even amenable to science?
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No entanto, pode abordarse esta pregunta desde a ciencia?
00:54
Here I'd like to propose
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Gustaríame propoñer que,
00:57
that in the same way we can reconstruct how the ancient Greek cities looked
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do mesmo xeito que recreamos o aspecto das antigas cidades gregas
a partir duns cantos ladrillos,
01:02
just based on a few bricks,
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01:04
that the writings of a culture are the archaeological records,
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vexamos os escritos dunha cultura como os rexistros arqueolóxicos,
01:08
the fossils, of human thought.
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os fósiles do pensamento humano.
01:11
And in fact,
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E, de feito,
facendo algún tipo de análise psicolóxica
01:13
doing some form of psychological analysis
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01:15
of some of the most ancient books of human culture,
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dalgúns dos libros máis antigos da cultura humana,
01:18
Julian Jaynes came up in the '70s with a very wild and radical hypothesis:
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Julian Jaynes suxeriu nos 70 unha hipótese tan arriscada como radical:
01:24
that only 3,000 years ago,
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que hai só 3.000 anos,
01:27
humans were what today we would call schizophrenics.
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os humanos eran o que hoxe chamaríamos esquizofrénicos.
01:33
And he made this claim
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E fixo esta afirmación
01:35
based on the fact that the first humans described in these books
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baseándose en que os primeiros humanos descritos neses libros
01:38
behaved consistently,
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comportábanse de xeito sistemático
01:40
in different traditions and in different places of the world,
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nas diferentes tradicións e lugares do mundo,
01:43
as if they were hearing and obeying voices
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como se escoitasen e obedecesen voces
que eles crían que procedían dos Deuses,
01:47
that they perceived as coming from the Gods,
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01:50
or from the muses ...
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ou das musas...
e que hoxe chamariamos alucinacións.
01:52
what today we would call hallucinations.
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01:55
And only then, as time went on,
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E só máis tarde, co paso do tempo,
01:58
they began to recognize that they were the creators,
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comezaron a recoñecer que eles mesmos eran os creadores,
02:02
the owners of these inner voices.
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os donos daquelas voces interiores.
02:05
And with this, they gained introspection:
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E a partir disto, gañaron introspección:
a capacidade de pensar sobre os propios pensamentos.
02:08
the ability to think about their own thoughts.
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02:11
So Jaynes's theory is that consciousness,
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Así que a teoría de Jaynes é que a consciencia,
02:15
at least in the way we perceive it today,
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polo menos da forma en que a percibimos hoxe,
02:18
where we feel that we are the pilots of our own existence --
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sentindo que somos pilotos na nosa propia existencia,
02:21
is a quite recent cultural development.
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é un avance cultural bastante recente.
02:25
And this theory is quite spectacular,
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E esta teoría é formidable,
mais ten un problema obvio
02:27
but it has an obvious problem
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02:28
which is that it's built on just a few and very specific examples.
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que é o feito de estar construída sobre uns poucos exemplos moi específicos.
De xeito que a pregunta é se a teoría
02:33
So the question is whether the theory
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02:34
that introspection built up in human history only about 3,000 years ago
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de que a introspección desenvolvida na historia humana hai só 3.000 anos
02:39
can be examined in a quantitative and objective manner.
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se pode examinar desde un punto de vista cuantitativo e obxectivo.
02:43
And the problem of how to go about this is quite obvious.
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E o problema de como abordar isto é bastante obvio.
Non é coma se Platón se erguese un día e logo escribise.
02:47
It's not like Plato woke up one day and then he wrote,
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02:50
"Hello, I'm Plato,
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"Ola, son Platón,
e desde hoxe, teño unha conciencia completamente introspectiva."
02:52
and as of today, I have a fully introspective consciousness."
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02:55
(Laughter)
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(Risas)
02:57
And this tells us actually what is the essence of the problem.
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E isto, en verdade, dinos cal é a esencia do problema.
03:01
We need to find the emergence of a concept that's never said.
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Temos que atopar a emerxencia dun concepto que nunca foi dito.
03:06
The word introspection does not appear a single time
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A palabra "introspección" non aparece nin unha soa vez
03:10
in the books we want to analyze.
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nos libros que queremos analizar.
03:13
So our way to solve this is to build the space of words.
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Así que a nosa forma de resolvelo foi construír o espazo das palabras.
03:18
This is a huge space that contains all words
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Este é un gran espazo que contén todas as palabras
03:21
in such a way that the distance between any two of them
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dispostas de modo que a distancia entre dúas delas
03:24
is indicative of how closely related they are.
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é indicativa do estreitamente relacionadas que están.
03:28
So for instance,
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Por exemplo,
03:29
you want the words "dog" and "cat" to be very close together,
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un espera que as palabras "can" e "gato" estean moi próximas,
03:32
but the words "grapefruit" and "logarithm" to be very far away.
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e que "pomelo" e "logaritmo" estean moi separadas.
03:36
And this has to be true for any two words within the space.
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E isto débese cumprir para cada par de palabras dentro do espazo.
03:41
And there are different ways that we can construct the space of words.
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E podemos construír o espazo das palabras de diferentes maneiras.
03:44
One is just asking the experts,
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Unha é preguntándolles aos expertos,
03:46
a bit like we do with dictionaries.
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un pouco como facemos cos dicionarios.
03:48
Another possibility
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Outra posibilidade
03:50
is following the simple assumption that when two words are related,
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é seguir a simple suposición de que cando dúas palabras están relacionadas
tenden a aparecer nas mesmas frases,
03:54
they tend to appear in the same sentences,
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03:56
in the same paragraphs,
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nos mesmos parágrafos,
03:57
in the same documents,
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nos mesmos documentos,
03:59
more often than would be expected just by pure chance.
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máis veces das que se esperaría por simple casualidade.
04:04
And this simple hypothesis,
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E esta sinxela hipótese,
04:06
this simple method,
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este simple método,
04:07
with some computational tricks
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cunha serie de trucos computacionais
04:09
that have to do with the fact
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relacionados co feito
04:10
that this is a very complex and high-dimensional space,
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de que este é un espazo complexo e de gran dimensión,
04:13
turns out to be quite effective.
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resultou ser moi efectivo.
E para darvos unha mostra do ben que funciona,
04:16
And just to give you a flavor of how well this works,
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04:18
this is the result we get when we analyze this for some familiar words.
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este é o resultado conseguido cando analizamos algunhas palabras familiares.
04:23
And you can see first
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Podedes ver primeiro
04:24
that words automatically organize into semantic neighborhoods.
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que as palabras se organizan automaticamente en campos semánticos.
Velaí as froitas, as partes do corpo,
04:28
So you get the fruits, the body parts,
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04:30
the computer parts, the scientific terms and so on.
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as partes do ordenador, os termos científicos...
O algoritmo tamén identifica que organizamos conceptos en xerarquías.
04:33
The algorithm also identifies that we organize concepts in a hierarchy.
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04:37
So for instance,
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Por exemplo,
podedes ver que os termos científicos se distribúen en dúas subcategorías
04:39
you can see that the scientific terms break down into two subcategories
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04:42
of the astronomic and the physics terms.
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de termos astronómicos e físicos.
04:45
And then there are very fine things.
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E logo temos cousas moi sutís.
04:47
For instance, the word astronomy,
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Por exemplo, a palabra astronomía,
04:49
which seems a bit bizarre where it is,
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que parece ter unha disposición estraña,
04:51
is actually exactly where it should be,
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está exactamente onde debería,
04:53
between what it is,
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entre o que é,
unha ciencia real,
04:55
an actual science,
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04:56
and between what it describes,
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e entre o que describe,
04:57
the astronomical terms.
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os termos astronómicos.
05:00
And we could go on and on with this.
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E poderiamos seguir e seguir con isto.
En verdade, se ollades para isto un anaco,
05:02
Actually, if you stare at this for a while,
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05:04
and you just build random trajectories,
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e unides traxectorias aleatoriamente,
veredes que se parece un pouco a facer poesía.
05:06
you will see that it actually feels a bit like doing poetry.
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Pasa isto porque, dalgún xeito,
05:10
And this is because, in a way,
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05:11
walking in this space is like walking in the mind.
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camiñar por este espazo é como camiñar pola mente.
E por último,
05:16
And the last thing
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05:17
is that this algorithm also identifies what are our intuitions,
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este algoritmo tamén identifica cales son as nosas intuicións,
05:21
of which words should lead in the neighborhood of introspection.
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sobre que palabras deberían ir primeiro ao campo da introspección.
05:25
So for instance,
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Así, por exemplo,
05:26
words such as "self," "guilt," "reason," "emotion,"
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palabras como "eu," "culpa," "razón," "emoción,"
05:30
are very close to "introspection,"
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están moi preto de "introspección,"
05:32
but other words,
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mentres que outras,
05:33
such as "red," "football," "candle," "banana,"
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como "vermello," "fútbol," "candea," "plátano"
05:36
are just very far away.
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están moi lonxe.
E unha vez que construímos o espazo,
05:38
And so once we've built the space,
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05:40
the question of the history of introspection,
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a pregunta sobre a historia da introspección,
05:43
or of the history of any concept
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ou sobre a historia de calquera concepto
que antes parecía abstracta e dalgún xeito difusa,
05:46
which before could seem abstract and somehow vague,
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05:50
becomes concrete --
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vólvese concreta,
05:52
becomes amenable to quantitative science.
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é abordable desde a ciencia cuantitativa.
05:56
All that we have to do is take the books,
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Todo o que temos que facer é coller os libros,
dixitalizalos,
05:59
we digitize them,
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06:00
and we take this stream of words as a trajectory
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e tomar este fluxo de palabras como unha traxectoria,
06:03
and project them into the space,
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proxectándoo no espazo,
06:05
and then we ask whether this trajectory spends significant time
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e logo preguntármonos se esta traxectoria pasa un tempo significativo
circulando preto do concepto de introspección.
06:09
circling closely to the concept of introspection.
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06:12
And with this,
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E con isto,
06:13
we could analyze the history of introspection
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poderiamos analizar a historia da introspección
06:16
in the ancient Greek tradition,
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na tradición da antiga Grecia,
da cal temos o mellor rexistro escrito dispoñible.
06:18
for which we have the best available written record.
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06:21
So what we did is we took all the books --
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Así que o que fixemos foi coller todos os libros,
06:23
we just ordered them by time --
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ordenámolos cronoloxicamente,
e de cada libro collemos as palabras
06:26
for each book we take the words
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06:27
and we project them to the space,
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e proxectámolas no espazo,
06:29
and then we ask for each word how close it is to introspection,
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logo miramos o cerca que cada palabra estaba da introspección,
e fixemos unha media.
06:33
and we just average that.
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06:34
And then we ask whether, as time goes on and on,
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Despois preguntámonos se, a medida que pasaba o tempo,
06:37
these books get closer, and closer and closer
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eses libros se achegaban máis e máis
ao concepto da introspección.
06:41
to the concept of introspection.
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06:42
And this is exactly what happens in the ancient Greek tradition.
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E isto é exactamente o que sucede na tradición da Grecia antiga.
06:47
So you can see that for the oldest books in the Homeric tradition,
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Pódese ver que, dentro dos libros máis antigos na tradición homérica
06:50
there is a small increase with books getting closer to introspection.
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hai unha pequena aproximación á introspección.
06:54
But about four centuries before Christ,
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Pero uns catro séculos antes de Cristo,
06:56
this starts ramping up very rapidly to an almost five-fold increase
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comeza a despegar rapidamente ata case quintuplicarse
07:01
of books getting closer, and closer and closer
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a aproximación paulatina dos libros
07:03
to the concept of introspection.
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ao concepto de introspección.
E algo bo disto
07:06
And one of the nice things about this
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07:08
is that now we can ask
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é que agora podémonos preguntar
07:09
whether this is also true in a different, independent tradition.
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se isto tamén é certo nunha tradición diferente e independente.
07:14
So we just ran this same analysis on the Judeo-Christian tradition,
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Así que empregamos esta mesma análise na tradición xudeocristiá,
e obtivemos virtualmente o mesmo patrón.
07:18
and we got virtually the same pattern.
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07:21
Again, you see a small increase for the oldest books in the Old Testament,
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De novo, un pequeno aumento nos libros máis antigos do Antigo Testamento,
07:26
and then it increases much more rapidly
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e logo un aumento moito máis rápido
nos libros do Novo Testamento.
07:28
in the new books of the New Testament.
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E logo chegamos ó cumio da introspección
07:30
And then we get the peak of introspection
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n’as “Confesións de Santo Agostiño”,
07:32
in "The Confessions of Saint Augustine,"
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07:34
about four centuries after Christ.
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uns catrocentos anos despois de Cristo.
07:36
And this was very important,
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E isto foi moi importante,
07:38
because Saint Augustine had been recognized by scholars,
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porque Santo Agostiño foi recoñecido por eruditos,
07:42
philologists, historians,
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filólogos, historiadores,
07:44
as one of the founders of introspection.
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como un dos fundadores da instrospección.
En verdade, algúns considérano o pai da psicoloxía moderna.
07:47
Actually, some believe him to be the father of modern psychology.
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Así que o noso algoritmo,
07:51
So our algorithm,
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07:52
which has the virtue of being quantitative,
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que ten a virtude de ser cuantitativo,
07:55
of being objective,
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de ser obxectivo,
e, por suposto, sumamente veloz
07:57
and of course of being extremely fast --
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--opera nunha fracción de segundo--
07:59
it just runs in a fraction of a second --
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08:01
can capture some of the most important conclusions
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pode captar algunhas das conclusións máis importantes
desta longa tradición de investigación.
08:05
of this long tradition of investigation.
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08:08
And this is in a way one of the beauties of science,
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E isto é dalgún xeito unha das belezas da ciencia,
08:11
which is that now this idea can be translated
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que é que agora esta idea pode trasladarse
08:15
and generalized to a whole lot of different domains.
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e estenderse a moitos dominios distintos.
08:18
So in the same way that we asked about the past of human consciousness,
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Así que do mesmo xeito que preguntamos sobre o pasado da percepción humana,
08:23
maybe the most challenging question we can pose to ourselves
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quizais a pregunta máis complicada que podemos formularnos
08:26
is whether this can tell us something about the future of our own consciousness.
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é se isto pode contarnos algo sobre o futuro da nosa propia consciencia.
08:31
To put it more precisely,
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Dito de forma máis precisa,
se as palabras que pronunciamos hoxe
08:33
whether the words we say today
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08:35
can tell us something of where our minds will be in a few days,
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poden dicir algo sobre onde estarán as nosas mentes nuns cantos días,
08:40
in a few months
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nuns cantos meses
08:41
or a few years from now.
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ou nuns cantos anos.
08:43
And in the same way many of us are now wearing sensors
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E da mesma forma en que moitos de nós levamos sensores
08:46
that detect our heart rate,
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que nos miden o ritmo cardíaco,
08:48
our respiration,
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a respiración,
08:49
our genes,
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os xenes,
08:51
on the hopes that this may help us prevent diseases,
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coa esperanza de que poida axudarnos a previr enfermidades,
podemos preguntarnos se monitorizando e analizando as palabras que dicimos,
08:55
we can ask whether monitoring and analyzing the words we speak,
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08:58
we tweet, we email, we write,
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chiamos, enviamos por correo, escribimos,
09:01
can tell us ahead of time whether something may go wrong with our minds.
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estas poden indicar antes de tempo se algo vai ir mal nas nosas mentes.
E canda Guillermo Cecchi,
09:07
And with Guillermo Cecchi,
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09:08
who has been my brother in this adventure,
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o meu irmán nesta aventura,
09:11
we took on this task.
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fixémonos cargo desta tarefa.
09:14
And we did so by analyzing the recorded speech of 34 young people
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E fixémolo analizando o discurso gravado de 34 mozos
09:19
who were at a high risk of developing schizophrenia.
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que tiñan un alto risco de desenvolver esquizofrenia.
09:23
And so what we did is, we measured speech at day one,
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O que fixemos foi medir o discurso no día un,
09:26
and then we asked whether the properties of the speech could predict,
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e logo preguntarnos se as propiedades dese discurso poderían predicir,
09:29
within a window of almost three years,
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nun intervalo de case tres anos,
o futuro desenvolvemento da psicose.
09:32
the future development of psychosis.
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09:35
But despite our hopes,
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Pero malia as nosas expectativas,
09:37
we got failure after failure.
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acadamos un fracaso tras outro.
09:41
There was just not enough information in semantics
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Non había información suficiente na semántica
09:45
to predict the future organization of the mind.
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coma para predicir a futura organización da mente.
09:48
It was good enough
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Era boa dabondo
09:50
to distinguish between a group of schizophrenics and a control group,
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para distinguir entre un grupo de esquizofrénicos e un grupo de control,
09:54
a bit like we had done for the ancient texts,
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como fixeramos cos textos antigos,
09:57
but not to predict the future onset of psychosis.
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mais non para predicir o inicio dunha psicose.
Porén, decatámonos
10:01
But then we realized
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10:02
that maybe the most important thing was not so much what they were saying,
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de que quizais o máis importante non era o que estaban a dicir,
senón como o dicían.
10:07
but how they were saying it.
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10:09
More specifically,
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Máis especificamente,
10:10
it was not in which semantic neighborhoods the words were,
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non se trataba do campo semántico ao que pertencían as palabras,
10:13
but how far and fast they jumped
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senón do lonxe e rápido que saltaban
10:16
from one semantic neighborhood to the other one.
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dun campo semántico a outro.
10:19
And so we came up with this measure,
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Así que elaboramos esta medida,
denominada "coherencia semántica",
10:21
which we termed semantic coherence,
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10:23
which essentially measures the persistence of speech within one semantic topic,
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que basicamente mide a persistencia da fala dentro dun tema semántico,
10:28
within one semantic category.
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nunha categoría semántica.
10:31
And it turned out to be that for this group of 34 people,
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E resultou que neste grupo de 34 persoas,
10:35
the algorithm based on semantic coherence could predict,
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o algoritmo baseado na coherencia semántica puido predicir,
cunha precisión do 100 por cento,
10:39
with 100 percent accuracy,
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10:41
who developed psychosis and who will not.
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quen desenvolvería psicose e quen non.
10:44
And this was something that could not be achieved --
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E isto foi algo que non se puido conseguir
10:47
not even close --
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--nin por aproximación--
10:49
with all the other existing clinical measures.
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con ningunha das medidas clínicas existentes.
10:54
And I remember vividly, while I was working on this,
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E recordo vividamente, mentres traballaba nisto,
estaba eu sentado diante do ordenador
10:58
I was sitting at my computer
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11:00
and I saw a bunch of tweets by Polo --
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e vin uns cantos chíos de Polo
--Polo fora o meu primeiro estudante en Bos Aires,
11:03
Polo had been my first student back in Buenos Aires,
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11:06
and at the time he was living in New York.
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e naquel momento estaba a vivir en Nova York
11:08
And there was something in this tweets --
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E había algo nos seus chíos
11:10
I could not tell exactly what because nothing was said explicitly --
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--non era quen de dicir o que, non había nada explícito--
pero tiven un forte presentimento,
11:14
but I got this strong hunch,
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unha forte intuición, de que algo non ía ben.
11:16
this strong intuition, that something was going wrong.
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11:20
So I picked up the phone, and I called Polo,
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Así que collín o teléfono e chameino,
e era certo, non se sentía ben.
11:23
and in fact he was not feeling well.
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11:25
And this simple fact,
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E este simple feito,
11:27
that reading in between the lines,
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este ler entre liñas,
11:29
I could sense, through words, his feelings,
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este sentir, a través das palabras, os seus sentimentos,
foi unha forma de axudar sinxela, pero moi efectiva.
11:34
was a simple, but very effective way to help.
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11:37
What I tell you today
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O que vos digo hoxe
11:39
is that we're getting close to understanding
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é que estamos preto de comprender
11:42
how we can convert this intuition that we all have,
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como converter esta intuición que todos temos,
11:46
that we all share,
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que todos compartimos,
11:47
into an algorithm.
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nun algoritmo.
E, ao facelo,
11:50
And in doing so,
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11:51
we may be seeing in the future a very different form of mental health,
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poderiamos ver no futuro unha forma moi diferente de saúde mental,
11:56
based on objective, quantitative and automated analysis
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baseada nunha análise obxectiva, cuantitativa e automatizada
12:01
of the words we write,
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das palabras que escribimos,
12:03
of the words we say.
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das palabras que dicimos.
12:05
Gracias.
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Grazas.
12:06
(Applause)
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(Aplausos)
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