Message from @AdvanceManExtraordinaire

Discord ID: 783044699148910602


2020-11-30 18:57:05 UTC  

Spears doesn’t understand math or understands benfords law

2020-11-30 18:57:12 UTC  

go tell people sitting life in prison that affadavits mean nothing

2020-11-30 18:57:21 UTC  

That’s fair. I could challenge you on that, and reference a handful of court rulings in which justice was indeed not served, but it’s a reasonable spot to be in if you don’t have access to all the information.

2020-11-30 18:57:28 UTC  

🤷🏻‍♂️🤷🏻‍♂️

2020-11-30 18:57:50 UTC  

Affidavits that can’t be proven are worthless @SPEARS you can’t convict someone on a affidavit alone

2020-11-30 18:57:55 UTC  

And how would you verify the affidavits?

2020-11-30 18:58:08 UTC  

Benford's law is used as a means to show irregularities worth investing more time into investigation.

2020-11-30 18:58:17 UTC  

It's by no means an adequate tool of proof.

2020-11-30 18:58:22 UTC  

if anyone is interested in actually _trying_ benford's law on random normal distributions, see here: https://observablehq.com/@realazthat/benfords-law/2

2020-11-30 18:58:37 UTC  

the only way to get it to work is to raise the sigma

2020-11-30 18:58:39 UTC  

Well In some cases you can’t . Some lady say she saw something. You can’t prove that false or true unless there were camera present or something @AdvanceManExtraordinaire

2020-11-30 18:58:49 UTC  

no one is claiming it is, however people are claiming it isn

2020-11-30 18:58:57 UTC  

isnt realiable for anything

2020-11-30 18:59:08 UTC  

Watch what i sent... that goes into every countr point you make....

2020-11-30 18:59:14 UTC  

there is no situation where actual random data will apply to benfords law

2020-11-30 18:59:20 UTC  

I'm watching

2020-11-30 18:59:20 UTC  

This is the nature of affidavits that were used in court https://youtu.be/Q_get06-tgo “lies and spam” @AdvanceManExtraordinaire

2020-11-30 18:59:25 UTC  

Have there been any evidentiary hearings?

2020-11-30 18:59:29 UTC  

That is incorrect

2020-11-30 18:59:48 UTC  

Thanks! Pm me after if you like. I really want to know

2020-11-30 19:00:04 UTC  

I recommend watching the latest rr group video explaining the purpose of the earlier court cases

2020-11-30 19:00:26 UTC  

Not to mention that tabulated voter data is hardly random...

2020-11-30 19:00:27 UTC  

Whether it's reliable or not I have no idea, I don't think they have released any information on how frequently Benford's law leads to finding financial fraud.

2020-11-30 19:00:46 UTC  

there is no such thing as random in sets of numbers entirely generated by human interaction

2020-11-30 19:00:52 UTC  

he's claiming my demonstration shouldn't work (it clearly does ... just raise the sigma)

2020-11-30 19:00:55 UTC  

I understand the purpose. It’s to get try and stall for time so they can put something together. But even what they have put together so far is still speculation @AdvanceManExtraordinaire

2020-11-30 19:01:05 UTC  

If you witness someone murdering an innocent joggers in cold blood, do you think there should be a trial with cross examination of your witness testimony based on your affidavit?

2020-11-30 19:01:16 UTC  

So? why does this mean Benford's law shouldn't apply? Benford's law has nothing to do with humans

2020-11-30 19:01:29 UTC  

.....

2020-11-30 19:01:41 UTC  

it doesn't

2020-11-30 19:01:56 UTC  

Actually I believe humans are more random than computers. A random function on a computer is not really entirely random.

2020-11-30 19:02:01 UTC  

it works on any "natural numbers" or or any set of numbers that has certain properties

2020-11-30 19:02:20 UTC  

I get it... I was just disputing that voting data could be characterized as random.

2020-11-30 19:02:25 UTC  

There is the entropy factor.

2020-11-30 19:02:31 UTC  

the reason it is used to detect fraud is because humans tend to pick _non-random_ numbers with a preference

2020-11-30 19:02:41 UTC  

@AdvanceManExtraordinaire yes but ultimately if it’s is just you then that’s all you got is your affidavit.

2020-11-30 19:02:57 UTC  

i.e they tend to like numbers beginning with various digits more equally

2020-11-30 19:03:12 UTC  

Cross examine all you like

2020-11-30 19:03:25 UTC  

Damning.

2020-11-30 19:03:26 UTC  

Computer randomization is actually an incredibly interesting topic.

2020-11-30 19:03:44 UTC  

people much smarter than you designed a legal system with failsafes to every counter point you have made. i would suggest you stop criticizing and talking about a system you clearly don't understand