It would especially outperform the Monte-Carlo approach drastically.
Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
21–30 of 170 posts
Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#22Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#23Earlier quoted context omitted.
Yes it is.
Can you explain how? I'm an (aspiring)
Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#24i like it and i skimmed the post but i don't understand why the default example 100 / 4~6 has a median of 20? there is no way of knowing why the range is between 4 and 6
>there is no way of knowing why the range is between 4 and 6
??? There is. It is the ~ symbol.
Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#25is this the same as error propagation? I used to do a lot of that during my physics degree
Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#26cool! are all ranges considered poisson distributions?
> Range is always a normal distribution, with the lower number being two standard deviations below the mean, and the upper number two standard deviations above. Nothing fancier is possible, in terms of input probability distributions.
Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#27i like it and i skimmed the post but i don't understand why the default example 100 / 4~6 has a median of 20? there is no way of knowing why the range is between 4 and 6
Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#28Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#29Re: Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator
#30 Note: If you're curious why there is a negative number (-5) in the histogram, that's just an inevitable downside of the simplicity of the Unsure Calculator. Without further knowledge, the calculator cannot know that a negative number is impossible
Drake Equation or equation multiplying probabilities can also be seen in log space, where the uncertainty is on the scale of each probability, and the final probability is the product of exponential of the log probabilities. And we wouldnt have this negative issue