Bayesianism
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bayesianism |
Title text: I'm just realizing the Venn diagram for people who know the reference and people who like the joke is a null set. |
Votey
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Transcript
This transcript was generated by a bot: The text was scraped using AWS's Textract, which may have errors. Complete transcripts describe what happens in each panel — here are some good examples to get you started (1) (2). |
- [Describe panel here]
- Every theory, no matter how ridiculous, has some probability of being true.
- T by their probability must still be one
- Therefore, I've created a new device: The bayesian overloader.
- Start with some very probable theory that nobody likes. For example, "i will die someday."
- Now, we set the overloader to generate opposing theories, like everyone living will not die," or only pumpkins die," or "nobody has ever died - theyre all just sleeping"
- The overloader creates hondreds of trillions of theories every second.
- Because all of these theories get some slice of the probability pie, so long as we generate theories fast enough, the undesirable theory becomes less and less true.
- We wait about thirty seconds, then bam! The initial theory is now vanishingly unlikely!
- And thus, I am immortal!
Votey Transcript
This transcript was generated by a bot: The text was scraped using AWS's Textract, which may have errors. Complete transcripts describe what happens in each panel — here are some good examples to get you started (1) (2). |
- [Describe panel here]
- Just to be Dear This is exactly how Regeration works.
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