All Bitcoin private keys are on this website

Post by grumple » Tue, Dec 21, 2021, 2:17 PM UTC

bspammer wrote: post #60

ricardobeat wrote: post #50

Earlier quoted context omitted.

What makes them trivial, how are they generated?

> A private key is basically just a number between 1 and 2^256 It's like saying "I'm gonna pick a random number between 1 and a trillion", and then picking 999,999,999,995. Probably not a smart idea given that you don't want anyone else to be able to guess your number.

Post by CamelRocketFish » Tue, Dec 21, 2021, 2:20 PM UTC

hbn wrote: post #197

mnahkies wrote: post #189

I was fascinated by a similar idea as a child, generating images of everything that has been, could be, or will be by exhaustively going through the possible combinations of pixels for some fixed size of image. Later realized that the number of combinations were impossibly large, although in some ways the models that generate photos of people that aren't real, etc are searching the same space just with a lot of direc…

I remember being very young and theorizing that video games worked by having every possible frame that could exist for the game loaded onto them, and as you pressed buttons the game would show you the appropriate frames for your scenario. I guess because I had something of an understanding of how movies worked, I just assumed video games would be exactly the same. Probably not the most efficient method of fitting a g…

Post by rogue7 » Tue, Dec 21, 2021, 2:23 PM UTC

bspammer wrote: post #221

theden wrote: post #26

It's like passively playing the world's worst lottery in terms of odds, but hundreds of thousands of times every second. It's fun but the odds are astronomically low. I have a script[1] that generates a pub+private key and checks against a massive file of addresses with BTC[2]. The list of addresses is loaded in memory as a python `set` so checking is O(1), but I feel like optimisations at increasing the rate are fut…

That CSV is actually really interesting. The median wallet holds about $30, the largest holds $10b, and the standard deviation is over $2m. >>> import pandas as pd df = pd.read_csv("btc_balance_sorted.csv") df['balance'].apply(lambda x: x * 36902.7 / 100e6).describe() count 3.359206e+07 mean 1.838824e+04 std 2.819739e+06 min 3.690270e-04 25% 2.871768e+00 50% 2.943913e+01 75% 2.652168e+02 max 1.063263e+10

Post by 400thecat » Tue, Dec 21, 2021, 2:26 PM UTC

Pawka wrote: post #51

Reminds me pretty popular torrent from old times named something similar to "List of all IPv4 addresses - every hacker must have". Sadly I am not able to remember exact name and find it anymore. Backstory is that ~15 years ago when upload ratio was important some person decided to generate a list and upload a torrent with such click bait name just to increase his/her ratio. It worked well.

Post by bspammer » Tue, Dec 21, 2021, 2:28 PM UTC

rogue7 wrote: post #235

bspammer wrote: post #221

Earlier quoted context omitted.

That CSV is actually really interesting. The median wallet holds about $30, the largest holds $10b, and the standard deviation is over $2m. >>> import pandas as pd df = pd.read_csv("btc_balance_sorted.csv") df['balance'].apply(lambda x: x * 36902.7 / 100e6).describe() count 3.359206e+07 mean 1.838824e+04 std 2.819739e+06 min 3.690270e-04 25% 2.871768e+00 50% 2.943913e+01 75% 2.652168e+02 max 1.063263e+10

I agree with your comment, just FYI you could avoid apply on a pandas Series since it loops over every row in Python space. It's much faster to use vectorized operations directly e.g.: df["balance"].mul(36902.7).div(100e6) See [0] for explanations [0] https://stackoverflow.com/a/52674448

    %time df['balance'].apply(lambda x: x * 36902.7 / 100e6).describe()
    Wall time: 12.6 s

    %time df["balance"].mul(36902.7).div(100e6).describe()
    Wall time: 2.33 s