
Govind Vashistha
3.1K posts

Govind Vashistha
@vash_go2012
Purely for the love of the game. built @pgxpodcast | @prvkhvr; 24. psychology, epistemology, phenomenology, game theory, decisions,etc.
Katılım Ocak 2013
802 Takip Edilen211 Takipçiler
Sabitlenmiş Tweet

>be me
>15, going to be a doctor, it's decided
>actually clear NEET
>"wait, i don't want to be a doctor"
>fine, psychologist then
>major in psychology, three years
>"wait, i don't want to do psychology"
>okay. join a podcast
>scale it
>"wait, i don't want to work in media"
>mfw i keep clearing the bar and walking away
>now i want to join a startup
>turns out this one needs patience
>can't speedrun a founder's trust
>brain at 12am: "you are ruined"
>open twitter to find a stranger to pitch myself to
>get left on read
>repeat
>narrator: he was not ruined. he was 24.
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It’s like carrying an itch since a decade about why is an infinitesimally small arc considered a straight line and someone scratched it today.
Govind Vashistha@vash_go2012
I read one of the best books I have ever read today. What a feeling.
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Reading Hume and Wittgenstein makes you devastatingly good at arguments.
They are both making the same moves throughout their works -
Take a connection everyone treats as necessary, logical, given, and show that it’s actually not there.
Hume does it with - cause and effect, future and past, is and ought.
Wittgenstein does it with - “each fact is logically independent of every other”
Almost every argument anyone makes, especially moral and political ones, has an ought smuggled into a chain of is-statements, and once you can see the smuggle, you can stop the argument cold by pointing at it.
It is especially lethal against someone not trained in it, because the smuggle is invisible to them.
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The ability to distinguish between using “ruin-avoidance” and “expected value” is the judgement.
Game theory, incentives, and decision theory are entirely descriptive/predictive, they tell you what a rational agent will do given their goals and payoffs.They can tell you the Nash equilibrium, the dominant strategy, what a self-interested agent optimizes toward, but nothing in that machinery tells you what anyone should value or do in a moral sense. The “ought” has to be imported from outside the math.
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Seeing the common skeleton behind seemingly unrelated problems is a major alpha. Although, it tempts you to ignore details of the problem which might be very useful.
Example - Theoretically, buying a health insurance is a poor decision because of its expected value. If you applied decision/game theory on problems that involve humans and treat them as “agents” like maths does, you might run into issues.
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@JsonBasedman Need the right mix of acquaintances and strangers in a party
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@vash_go2012 No. The theories explaining sunrises don't distinguish between today's and tomorrow's (angular momentum, solar system layout etc). Varying them to distinguish would spoil their explanatory power. But the same theories explain other things that will ONLY happen tomorrow.
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I am almost always hiring :')
Roles across marketing, finance, category, strategy / founder's office, etc.
Saumya Saxena@saxenasaheb
I may not always be hiring but I am always looking for high agency individuals. If you've got something cool to share and are looking to join strong team(s) please flood my DM's with a brief summary of your biggest wins (3-4 short lines at best) Operations/Design/Research/Dev - Everything is on the table
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Govind Vashistha retweetledi

@ToKTeacher @Jaydeep_25 Alright, I will read it. Interesting.
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@Jaydeep_25 @vash_go2012 An article if one prefers. By the way: if you want “Deutsch’s view” go to “The Fabric of Reality” and check the index there.
bretthall.org/blog/induction
The long and short of it is: there is *no* “problem of induction” because science is about explanations first, not predictions.
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