[HN Gopher] How True Are Your d20s? (2013)
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       How True Are Your d20s? (2013)
        
       Author : YeGoblynQueenne
       Score  : 45 points
       Date   : 2022-03-16 09:40 UTC (1 days ago)
        
 (HTM) web link (www.1000d4.com)
 (TXT) w3m dump (www.1000d4.com)
        
       | mLuby wrote:
       | Don't forget to scout, train, and exorcise your dice!
       | 
       | Part 1: Scouting your die's personality (4min)
       | https://youtu.be/87F-Ind9BaQ
       | 
       | Part 2: Training your dice (4min) https://youtu.be/gNGa-ydu7z4
       | 
       | Part 3: Polterdice (4min) https://youtu.be/XXy2awzR-mM
        
       | slaymaker1907 wrote:
       | We really need a giant machine that can automatically roll dice
       | and record the results to a file. That way we can then take that
       | data and run a bunch of statistical analyses on them to try and
       | figure out if they are fair enough.
        
         | [deleted]
        
       | hackcasual wrote:
       | I've got a set of Game Science dice, and while they measure very
       | consistently, the very sharp edges, even with flashing removed do
       | seem to cause them bias. If you leave the flashing on, then it
       | gets even worse.
        
       | TedDoesntTalk wrote:
       | Chi-squared test. When I was in 7th grade, I wrote a science
       | paper on the chi-squared test and applied it to a bunch of D&D
       | dice. I think it is a much better way to assess dice accuracy
       | than stacking dice in this manner.
        
         | slaymaker1907 wrote:
         | The issue with statistical testing is that you need to have the
         | patience to roll die many times for useful results, at least
         | for d20s (which are the dice where bias is both most likely and
         | often most impactful).
        
       | charlieb wrote:
       | Wouldn't a better experiment be to roll one 10K times and see if
       | the sides have equal probability? Who cares if the dimensions are
       | a little off if the effect on the roll is minimal, or conversely
       | are even the best toleranced dice still biased?
        
         | jedimastert wrote:
         | Fun fact: Die don't have to be the same all sides to be
         | provably fair.
         | 
         | Check out the "skew die"
         | https://www.mathartfun.com/DiceLabDice.html
         | 
         | And a video https://www.youtube.com/watch?v=uAnCL3vhVIs
        
         | bikamonki wrote:
         | https://hackaday.com/2019/06/20/automated-dice-tester-uses-m...
        
           | mwcremer wrote:
           | And if you read that report, you see:
           | 
           | "Gamescience dice are more consistent than the X-Wing dice",
           | with some analysis regarding the flashing from the mold
           | suggesting that sanding it smooth will increase the
           | consistency.
        
       | pmarreck wrote:
       | His speech on dice quality is apparently hidden on youtube now :/
        
       | stolenmerch wrote:
       | I just prefer the sharp edges of GameScience dice, regardless of
       | their trueness. The Zocchi Ruby Gem dice are the closest to the
       | pleasure of rolling casino dice, but I'd still prefer they be
       | about 20% larger and heavier with ink that doesn't lift off from
       | too much handling. I'll take a slight bias in the rolls if it
       | means a superior aesthetic experience.
        
       | wolverine876 wrote:
       | Random number generation is a tool not just for crypto, but for
       | human psychology. There are applications for _random_ , _psuedo-
       | random_ , _unpredictable_ , and ' _uncontrolled_ ' number
       | generation. (These are my terminology and concepts. Did I leave
       | out some other property? Has someone actually studied this
       | question?)
       | 
       | Imagine it's dinner time and you want to randomly choose a
       | restaurant, so you roll a die. Let's say you know the die isn't
       | truly random; I guess you probably don't care. Let's say you know
       | it's not really even psuedo-random (by whatever standard that's
       | defined); do you care? Let's say it's just unpredictable -
       | significantly biased, but you don't know the bias - do you care?
       | Let's say I told you what the bias is before you roll, but you
       | are yielding control of the outcome to the dice (which I'm
       | calling 'uncontrolled'). Does that differ from yielding control
       | to another free will, another person? What matters to you here?
       | 
       | Imagine that instead you are deciding whether to buy a house. You
       | can't decide, it's 50-50, let's roll for it! How do the above
       | questions apply?
       | 
       | Dinner is a low-stakes, no-lose situation. The house is a high-
       | stakes, no lose (assuming it legitiately is 50-50) situation.
       | 
       | Imagine a low-stakes, win/lose situation, like a low-stakes game
       | of craps. As long as it's unpredictable, is that fine? What about
       | uncontrolled?
       | 
       | Imagine about a high-stakes game of craps: Honestly, I might
       | still be satisfied with unpredictable (ignoring the risk that
       | someone might cheat and figure out the pattern), or even
       | uncontrolled, if everyone knew the bias.
       | 
       | I might be satisfied with merely uncontrolled for all of those
       | situations, though at a certain level of bias, why roll a die?
        
         | function_seven wrote:
         | I like these divisions!
         | 
         | To boil down the 50/50 one: Imagine your torn between those 2
         | houses, and your realtor--who also does magic as a hobby--
         | offers you a coin to flip. You ask, "wait, is this a trick
         | coin?"
         | 
         | "Yup!" he replies, "Always lands one way."
         | 
         | "How is _that_ going to help me then!? "
         | 
         | " _I_ got no idea if this is an always-heads coin or an always-
         | tails coin. You see, when they 're being minted, each coin
         | randomly plops onto the conveyor before it enters the CBU--"
         | 
         | "--The 'CBU'? What's that?"
         | 
         | "--oh, the Coin Biasing Unit. It's the machine that takes a
         | normal coin and does the proprietary thing that biases it. The
         | coin's orientation as it enters the CBU is the way it'll be
         | biased from then on. As I was saying, the coins enter the CBU
         | randomly, and I've never used this particular one before, so I
         | don't know if it's a Heads coin or a Tails coin."
         | 
         | "... Ok then! Heads I offer on 284 Bayes St, Tails I go with
         | 938 Bernoulli Blvd."
        
           | wolverine876 wrote:
           | That's great! Come to think of it, drinking games can be
           | 'uncontrolled': 'Watch this CNBC show - every time they use a
           | word starting with 'crypto', we drink!'
        
         | uncletaco wrote:
         | One thing I like about the psychology of random is you can tell
         | what numbers are true random vs what numbers are human
         | generated if you know what to look for. For instance humans
         | will avoid closeness (1 next to 2) and runs (1 next to 1
         | again). They will also usually avoid starting with the lowest
         | and highest number in the range (asking for random numbers
         | between 0 and 10 will almost never result in the first number
         | being 0 or 10).
         | 
         | If they are aware of this and try to compensate they'll start
         | creating patterns that give them away.
        
           | Morizero wrote:
           | Here's a topical example that The Economist showed a few
           | months back https://www.economist.com/graphic-
           | detail/2021/10/11/russian-...
        
           | wolverine876 wrote:
           | I remember a securities market-fixing scam was discovered
           | years ago because the numbers were not random but (in
           | hindsight) obviously human-created.
        
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       (page generated 2022-03-17 23:00 UTC)