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Anonymous Sat 12 Sep 19:53:44 2020 No.12112373 View Reply Original Report

Quoted By: >>12112403 >>12112468 >>12112493 >>12112496 >>12113393 >>12113426 >>12113513 >>12114370 >>12118755 >>12118937 >>12120190 >>12120193 >>12122273

What's your answer to the problem of induction?

Anonymous

Anonymous Sat 12 Sep 2020 20:01:15 No.12112403 Report

Quoted By:

>>12112373
>induction
Basically you run with induction, very fast into an similar effect as the butterfly effect. The reason why i call it similar, is because i call it the butterfly effect, you would ague about linear dynamics.
My reasoning would be, there is no true "linear dynamic"

Anonymous

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Anonymous Sat 12 Sep 2020 20:04:09 No.12112414 Report

Quoted By:

iykyk

Anonymous

Anonymous Sat 12 Sep 2020 20:20:01 No.12112468 Report

Quoted By: >>12114732

>>12112373
Bayes

Anonymous

Anonymous Sat 12 Sep 2020 20:28:29 No.12112493 Report

Quoted By: >>12112613

>>12112373
Isn't this trivial? We keep believing in the results gained by inductive reasoning as long as there is no contradicting evidence. As soon as such evidence is found we extend our theories.

Anonymous

Anonymous Sat 12 Sep 2020 20:29:42 No.12112496 Report

Quoted By:

>>12112373
deduction i guess, or just use induction till you get proven wrong it's not a big deal

Anonymous

Anonymous Sat 12 Sep 2020 20:30:45 No.12112501 Report

Quoted By:

there is no "answer" to the problem of induction, it simply exists

Anonymous

Anonymous Sat 12 Sep 2020 20:57:32 No.12112613 Report

Quoted By: >>12118762

>>12112493
Yes but then philosotards cry when you takk about scientific truth because muh truth cannot be malleable.

Anonymous

Anonymous Sat 12 Sep 2020 22:35:22 No.12112899 Report

Quoted By:

just b urself

Anonymous

Anonymous Sun 13 Sep 2020 02:29:22 No.12113393 Report

Quoted By: >>12113415

>>12112373
Induction never failed so far. Why are philosophers so dumb.

Anonymous

Anonymous Sun 13 Sep 2020 02:38:59 No.12113408 Report

Quoted By: >>12118626

>Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem.

Anonymous

Anonymous Sun 13 Sep 2020 02:42:01 No.12113415 Report

Quoted By: >>12116643

>>12113393
>Induction never failed so far
So said the turkey, that for 364 straight days has been properly fed every day without issue, that is now wondering why the same man who has fed him so far is now holding a knife against his neck.

Anonymous

Anonymous Sun 13 Sep 2020 02:46:30 No.12113426 Report

Quoted By:

>>12112373
i dont see the problem

Anonymous

Anonymous Sun 13 Sep 2020 03:14:53 No.12113513 Report

Quoted By: >>12114387

>>12112373
we still don't know how to use infinity as a number
"undefined" is a brainlet cope

Anonymous

Anonymous Sun 13 Sep 2020 10:30:38 No.12114370 Report

Quoted By:

>>12112373
lurk more irl

Anonymous

Anonymous Sun 13 Sep 2020 10:39:42 No.12114387 Report

Quoted By:

>>12113513
because it isn't a number

Anonymous

Anonymous Sun 13 Sep 2020 10:55:05 No.12114423 Report

Quoted By:

Read Hume

Anonymous

Anonymous Sun 13 Sep 2020 13:36:56 No.12114732 Report

Quoted By:

>>12112468
lmfao Bayes Theorem does not solve the problem of induction

Anonymous

Anonymous Sun 13 Sep 2020 22:56:17 No.12116643 Report

Quoted By:

>>12113415
Eh. He shouldn't worry about it. He'll be fine

Anonymous

Anonymous Mon 14 Sep 2020 11:28:14 No.12118626 Report

Quoted By:

>>12113408
A solution would be to ground induction, and prove its reliability. Schurz instead demonstrating the optimality of induction, in his own words, which is more about attempting to dissolve Hume's problem in pragmatic concerns rather than solving the problem..

Anonymous

Anonymous Mon 14 Sep 2020 12:17:36 No.12118755 Report

Quoted By:

>>12112373
The solution is to stop calling it a problem. It isn't one. Measurement uncertainty already lets us know we can never know something 100% for sure. But the more accurate the measurement, the more reliable.

We need to know the most reliable theories, not the "perfect" one.

Anonymous

Anonymous Mon 14 Sep 2020 12:20:01 No.12118762 Report

Quoted By: >>12118939

>>12112613
They believe that mathematical truths imply things about reality. Think about that for a second. Any logically consistent statement you build, no matter how absurd, will sound true enough for a philosopher to believe it must imply something about reality.

How do you respect those people?

Anonymous

Anonymous Mon 14 Sep 2020 13:23:28 No.12118937 Report

Quoted By: >>12119193

>>12112373
Rejecting bivalent logic.

Anonymous

Anonymous Mon 14 Sep 2020 13:24:35 No.12118939 Report

Quoted By:

>>12118762
But that's what it actually is. Stop coping.

Anonymous

Anonymous Mon 14 Sep 2020 14:58:00 No.12119193 Report

Quoted By: >>12123230

>>12118937
Based af

Anonymous

Anonymous Mon 14 Sep 2020 18:37:06 No.12120190 Report

Quoted By:

>>12112373
Studying chaos theory.

Anonymous

Anonymous Mon 14 Sep 2020 18:38:07 No.12120193 Report

Quoted By:

>>12112373
Also answer of black swan problem is genetic engeneering.

Anonymous

Anonymous Tue 15 Sep 2020 04:01:37 No.12122273 Report

Quoted By:

>>12112373
Reject the idea of "unknown unknowns" as it is unknowable.

Anonymous

Anonymous Tue 15 Sep 2020 10:48:45 No.12123230 Report

Quoted By: >>12123673

>>12119193
It isn't anything new.

Anonymous

Anonymous Tue 15 Sep 2020 14:10:02 No.12123673 Report

Quoted By:

>>12123230
Why does that matter? It's still based

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