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degaston wrote:Maybe the best one's do.BigBallinStalin wrote:Do programmers have a fetish for perfection?No, I wouldn't go that far, but I can't ignore a consistent bias in the pseudo-random number generator.BigBallinStalin wrote:or does degaston have a fetish for perfection?
BigBallinStalin wrote:How could this bias be corrected?
What even causes it?
rdsrds2120 wrote:...the dice are read from a finite sheet randomly, perhaps there are a fewer number of ones than the rest.
Agent 86 wrote:Yeah, well the program has seriously taken my thread to heart..wow in 25 rolls in defense an average of 1.4..now what's going on
Confirms to me that my 1 v 1 days are over. I now only play team games in the future
rdsrds2120 wrote:I'll look to see if there's a technical reason that 1 is arbitrarily lower than the rest, but I performed a Chi-Square goodness of fit test for each of the 5 players rolls and that number of rolls isn't statistically significant. The p-value was essentially 0 each time...
For non stats people: Each set is, indivdually, within the margin of error to not cause alarm within the realm of randomness, but since the dice are read from a finite sheet randomly, perhaps there are a fewer number of ones than the rest.
BMO
degaston wrote:Agent 86 wrote:Yeah, well the program has seriously taken my thread to heart..wow in 25 rolls in defense an average of 1.4..now what's going on
Confirms to me that my 1 v 1 days are over. I now only play team games in the future
Here's why:
frankiebee wrote:Has this been solved? I still think there is proof in this thread that the dice are not as random as we thought.
degaston wrote:Here are the dice stats for the five players with the most completed games:
It looks like 1's are showing up about .26% less often than they should. It's not a huge difference, but it definitely looks like a pattern. From what I've seen, it's the same for every player with a large sample size, so there's probably no "favoritism" going on, but I think that this would make the battle outcomes slightly different from the expected win/loss percentages.
I didn't do the math, but logically it's as if the players are using 5-sided dice .26% of the time. Having fewer numbers to chose from will slightly increase the number of ties, which would favor the defender.
I think this should be fixed ASAP.
Metsfanmax wrote:Something to note here. The dice algorithm changed substantially in 2010, so if you analyze the stats for players who have been here for many years, they could be biased as a result of a poor randomness prior to 2010. The same logic also applies to the way random.org is generating their numbers (it could be different now from how it previously was). In order to prove in a compelling manner that something is currently awry, you need to compile these results only for people who have joined relatively recently (and you'll need a decently large sample size).
BoganGod wrote:frankiebee wrote:Has this been solved? I still think there is proof in this thread that the dice are not as random as we thought.
Mate, just re read that excellent klobber blog spot you put me onto. Discusses at some length in logical detail, the difference between random, and predictable. Well worth a second read
frankiebee wrote:BoganGod wrote:frankiebee wrote:Has this been solved? I still think there is proof in this thread that the dice are not as random as we thought.
Mate, just re read that excellent klobber blog spot you put me onto. Discusses at some length in logical detail, the difference between random, and predictable. Well worth a second read
I know it by heart, this is probabbly what klobber would have said: the dice is made to be unpredictable, which it is. But with 100% designed unpredictable dice, you would still expect to see roughly 1 in 6 players to have rolled mostly 1's. 1 in 50 would still be believable, but seriously, can you link me 1 profile of a player that played over 500 games who has thrown mostly 1's? Because if there iss'nt one player at all... there is something wrong is the adjustments of the dice.
Metsfanmax wrote:I don't think we can look into this quite yet because there appear to be some issues with the dice records. I see several players who have played many games whose dice stats pages have only a very small number of stats recorded, e.g.
http://www.conquerclub.com/player.php?m ... _id=133381
http://www.conquerclub.com/player.php?m ... r_id=43426
Metsfanmax wrote:frankiebee wrote:BoganGod wrote:frankiebee wrote:Has this been solved? I still think there is proof in this thread that the dice are not as random as we thought.
Mate, just re read that excellent klobber blog spot you put me onto. Discusses at some length in logical detail, the difference between random, and predictable. Well worth a second read
I know it by heart, this is probabbly what klobber would have said: the dice is made to be unpredictable, which it is. But with 100% designed unpredictable dice, you would still expect to see roughly 1 in 6 players to have rolled mostly 1's. 1 in 50 would still be believable, but seriously, can you link me 1 profile of a player that played over 500 games who has thrown mostly 1's? Because if there iss'nt one player at all... there is something wrong is the adjustments of the dice.
I don't think we can look into this quite yet because there appear to be some issues with the dice records. I see several players who have played many games whose dice stats pages have only a very small number of stats recorded, e.g.
http://www.conquerclub.com/player.php?m ... _id=133381
http://www.conquerclub.com/player.php?m ... r_id=43426
BoganGod wrote:frankiebee wrote:Has this been solved? I still think there is proof in this thread that the dice are not as random as we thought.
Mate, just re read that excellent klobber blog spot you put me onto. Discusses at some length in logical detail, the difference between random, and predictable. Well worth a second read
frankiebee wrote:Metsfanmax wrote:frankiebee wrote:BoganGod wrote:frankiebee wrote:Has this been solved? I still think there is proof in this thread that the dice are not as random as we thought.
Mate, just re read that excellent klobber blog spot you put me onto. Discusses at some length in logical detail, the difference between random, and predictable. Well worth a second read
I know it by heart, this is probabbly what klobber would have said: the dice is made to be unpredictable, which it is. But with 100% designed unpredictable dice, you would still expect to see roughly 1 in 6 players to have rolled mostly 1's. 1 in 50 would still be believable, but seriously, can you link me 1 profile of a player that played over 500 games who has thrown mostly 1's? Because if there iss'nt one player at all... there is something wrong is the adjustments of the dice.
I don't think we can look into this quite yet because there appear to be some issues with the dice records. I see several players who have played many games whose dice stats pages have only a very small number of stats recorded, e.g.
http://www.conquerclub.com/player.php?m ... _id=133381
http://www.conquerclub.com/player.php?m ... r_id=43426
Those two players have been inactive for a looooooooong time. They played most of their games when the dice stats weren't around, and now played a couple of games where their dice were recorded.
Metsfanmax wrote:...
Hm. Interesting. I assumed that because they were on the scoreboard they would have been actively playing games recently, but I suppose I didn't confirm.
Anyway, as I said, we can't really confirm this as a real problem unless we have stats for people who have only been playing recently (last three months, or maybe six; we can't really know whether the problem currently exists if we include all rolls since dice stats were originally recorded). Also, we'd need to see a significant number of people more than two standard deviations away from the mean.
In other words, be aware of selection bias. If you select only players with a lot of games played, you might be polluting your sample with people who did many of their rolls during a different time on CC. Another example of selection bias: one possibility that springs to mind is that one factor in why the players at the top of the scoreboard are at the top may be because they are the ones who get fewer ones, due to random chance. This may not be a huge effect, but it can influence the results. I looked at people with low scores and lots of games played, though, and didn't see anyone with 1's the most. In fact, I still haven't found anyone that satisfies that. There's definitely something interesting here.
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