My random walk generator is now using true random numbers derived from quantum fluctuations in a vacuum

Oh thanks, now that song is stuck in my head.

Looks like irregular linearity to me.

Random is not sequential, unless you are deriving functions of a random number between 0 and 1. While that is generally how a random function is generated, a true random graph will have data points that are not linked.

The purpose of using a Box Müller transform, as I'm doing, is specifically to normalize the random data as a trend-oriented line. Purposes are to simulate a stock price, for example.

The accomplishment here is that it is no longer using pseudo-random numbers and is now using true random numbers to remove any computer-generated patterns in the randomness.

Last Edited by BoatyMcBoatface on 10/23/2020 11:45 AM

Do you know about the 'Shnoll effect' ?

I also tried to find these patterns in random numbers, but without any success.
(i'm also using a physical random number generator)

Good on you! Any place that I can grab a true random number whenever I want?

:ohlook:

Right here: [link to qrng.anu.edu.au (secure)]

It's in binary, so you'd have to convert it. But it is indeed a random number (Uint8, meaning: between 0 and 255)

Got it bookmarked, thanks!

Bookmarks under Microsoft Edge for Linux are weird. Have to bookmark under default folder and then edit.

Mine uses numbers from the PDFMA system.

Pulled Directly From My Ass

Never heard of it before.. I'm watching a video about it now... Update: this is pretty neat! I was seeing these kinds of patterns in the output of javascript's Math.random() method. It was driving me nuts, to be honest, because I wanted true randomness.

I almost bought a physical random number generator that uses the entropy of diodes, but then I found a publicly available source of quantum random numbers which was awesome.

As a side note, I'm not looking for patterns in random numbers, really.

Last Edited by BoatyMcBoatface on 10/23/2020 01:42 PM