After 250 rolls, 1 popped up 27 times. Or roughly 11% of the time.

I did this same test with all 17 D20’s I have and 2 D20’s from people in my DnD group.

This one was far and away the worst though I had more than I’d like with averages under 10.

Edit:

Here's the stats for the ones I tested

This excludes the data for the 2 D20’s from the people in my DnD group as they didn’t want that data shared outside of the group chat.

  • general_kitten@sopuli.xyz
    16·
    7 months ago

    A set of 250 throws with average of 9.56 in a fair d20 has a probability of about 0.5% to occur, so in 17 sets there is about a 8% chance to happen if you dice were fair according to binomial distribution. This means there is a 92% chance that your die is unfair. usually a confidence of >95% is needed for science but for home i think is enough to declare a dice unfair.

    This calculation only says if the die is unfair, not how much unfair.

  • Donjuanme@lemmy.world
    9·
    7 months ago

    Very interesting statistical data set you have there, I’d be interested in replicating the outliers (particularly that 27 1’s die) and if it isn’t poorly shapen, don’t reveal the follow-up stats and force the “cursed die” onto special rolls/annoying people in the party. If it is poorly shaped get rid of it imo,

  • tyler@programming.dev
    5·
    7 months ago

    Oof that’s horrendous. Like the average is still around the same but the consequences are so so much worse

  • neptune@dmv.socialEnglish
    4·
    7 months ago

    I should open an Etsy shop and sell shitty d20s and not tell anyone. April fools!

  • nifty@lemmy.world
    2·
    7 months ago

    Now I think you should test if averages hold consistent between same sided die from different manufacturers. I think another poster is right that the shape matters, so if the die from the same caster are molded roughly the same, then they’ll present with similar averages.