I am willing to wager that even if we showed everyone the code that governs these mechanics, it would convince even fewer people as not everyone has coding experience, myself included.
I am willing to wager that even if we showed everyone the code that governs these mechanics, it would convince even fewer people as not everyone has coding experience, myself included. The only valid concern people raise is sometimes being concerned that the odds were incorrectly displayed, or the crystals were coded incorrectly. I believe this has happened in the past (such as crystals not containing the correct featured champion and compensation got sent out fairly quickly).
You would have to have misread what I wrote to think this disagrees in any way. I spoke only about the sample mean not some observed raw count of crystals which implicitly means that that proportion is all that matters (hence 1/n). If I were explaining it simply to someone I would even leverage that fact in that observed counts matter less as the sizes grow larger- thats kind of the point in a very measure theoretic naive way (although I have to stress that it really doesn’t capture the depth of the statement). I wouldn’t (and didnt) say that the accurate claim was that the observed count of crystals should converge to the expected count of crystals only, to quote myself: “ The accurate claim is that over sufficiently large batches of crystals the sample mean should converge a.s to the true mean (or in probability if you weaken the statement)”. I'm afraid that's word salad. If you're going to try to get technical, then the proper way to discuss what normal people see when they open champion crystals is that we're looking at distributions, not means. There's no such thing as the mean of a set of crystal openings. If someone is expecting to see a certain amount of 6* champs pop out of a crystal, the question is what would reasonable expectations be from a certain number of crystals, and on a meta level what would reasonable expectations be for the number of such distributions that are observed.In the context of distributions, the "statistical average" refers to the statistical average result, which is the average quantity of 6* drops you would observe given the predicted distribution.However, in the context of opening crystals, there is no "sample mean." That's a complete misuse of language. Im shocked that you would say this. It is, of course, correct to discuss these things in precisely the terms I used. You would frame the openings as a series of Bernoulli trials for each candidate (say 6 stars in the paragon crystal). The sample mean is of course, just the sum of 0s and 1s that occur divided by the number of crystals opened and the LLN would claim that this should approach the true success rate (whatever the proposed drop rate is for 6 stars in the paragon crystal). This has nothing to do with the absolute count of 6 stars you attain which we expect to grow infinitely far from the expected count which seemed to be the topic of the “correction” you were making. Dont mistake a lack of understanding on your part for an error on mine There are two possibilities: you have at least some idea of what you're talking about but your knowledge of it is highly technical and your communication skills are non-existent. Or you have no idea what you're talking about and are attempting to use jargon to impress people.If the problem was the former, you would not be mentioning the law of large numbers because there is no such thing as the average (mean) of a set of crystal openings. Instead, you would probably be trying to blow past me by trying to draw me into an exotic debate surrounding the CLT or something just to see if I could keep up. So I have to conclude the problem is most likely the latter. Don't compel me to prove it. It has been a while, but this is a subject I used to teach, once upon a time. I know the difference between a simple discrepancy in terminology, and a fundamental lack of understanding. “There is no such thing as a mean of a set of crystal openings”There is some very big miscommunication happening right here that we need to address. You can ABSOLUTELY have a mean if your phrase the opening in terms of successes and failures. Thats why I mentioned using Bernoulli trials for each candidate. A 1 for a successful pull of the rarity of interest and a 0 for a failure- any other rarity. The sample mean would then be the sum divided by the number of crystals you’ve opened which by the LLN should converge to the advertised drop rate for the rarity. In what universe do you think this is some exotic debate about CLT? Its not even a debate, its an extremely basic premise
You would have to have misread what I wrote to think this disagrees in any way. I spoke only about the sample mean not some observed raw count of crystals which implicitly means that that proportion is all that matters (hence 1/n). If I were explaining it simply to someone I would even leverage that fact in that observed counts matter less as the sizes grow larger- thats kind of the point in a very measure theoretic naive way (although I have to stress that it really doesn’t capture the depth of the statement). I wouldn’t (and didnt) say that the accurate claim was that the observed count of crystals should converge to the expected count of crystals only, to quote myself: “ The accurate claim is that over sufficiently large batches of crystals the sample mean should converge a.s to the true mean (or in probability if you weaken the statement)”. I'm afraid that's word salad. If you're going to try to get technical, then the proper way to discuss what normal people see when they open champion crystals is that we're looking at distributions, not means. There's no such thing as the mean of a set of crystal openings. If someone is expecting to see a certain amount of 6* champs pop out of a crystal, the question is what would reasonable expectations be from a certain number of crystals, and on a meta level what would reasonable expectations be for the number of such distributions that are observed.In the context of distributions, the "statistical average" refers to the statistical average result, which is the average quantity of 6* drops you would observe given the predicted distribution.However, in the context of opening crystals, there is no "sample mean." That's a complete misuse of language. Im shocked that you would say this. It is, of course, correct to discuss these things in precisely the terms I used. You would frame the openings as a series of Bernoulli trials for each candidate (say 6 stars in the paragon crystal). The sample mean is of course, just the sum of 0s and 1s that occur divided by the number of crystals opened and the LLN would claim that this should approach the true success rate (whatever the proposed drop rate is for 6 stars in the paragon crystal). This has nothing to do with the absolute count of 6 stars you attain which we expect to grow infinitely far from the expected count which seemed to be the topic of the “correction” you were making. Dont mistake a lack of understanding on your part for an error on mine There are two possibilities: you have at least some idea of what you're talking about but your knowledge of it is highly technical and your communication skills are non-existent. Or you have no idea what you're talking about and are attempting to use jargon to impress people.If the problem was the former, you would not be mentioning the law of large numbers because there is no such thing as the average (mean) of a set of crystal openings. Instead, you would probably be trying to blow past me by trying to draw me into an exotic debate surrounding the CLT or something just to see if I could keep up. So I have to conclude the problem is most likely the latter. Don't compel me to prove it. It has been a while, but this is a subject I used to teach, once upon a time. I know the difference between a simple discrepancy in terminology, and a fundamental lack of understanding.
You would have to have misread what I wrote to think this disagrees in any way. I spoke only about the sample mean not some observed raw count of crystals which implicitly means that that proportion is all that matters (hence 1/n). If I were explaining it simply to someone I would even leverage that fact in that observed counts matter less as the sizes grow larger- thats kind of the point in a very measure theoretic naive way (although I have to stress that it really doesn’t capture the depth of the statement). I wouldn’t (and didnt) say that the accurate claim was that the observed count of crystals should converge to the expected count of crystals only, to quote myself: “ The accurate claim is that over sufficiently large batches of crystals the sample mean should converge a.s to the true mean (or in probability if you weaken the statement)”. I'm afraid that's word salad. If you're going to try to get technical, then the proper way to discuss what normal people see when they open champion crystals is that we're looking at distributions, not means. There's no such thing as the mean of a set of crystal openings. If someone is expecting to see a certain amount of 6* champs pop out of a crystal, the question is what would reasonable expectations be from a certain number of crystals, and on a meta level what would reasonable expectations be for the number of such distributions that are observed.In the context of distributions, the "statistical average" refers to the statistical average result, which is the average quantity of 6* drops you would observe given the predicted distribution.However, in the context of opening crystals, there is no "sample mean." That's a complete misuse of language. Im shocked that you would say this. It is, of course, correct to discuss these things in precisely the terms I used. You would frame the openings as a series of Bernoulli trials for each candidate (say 6 stars in the paragon crystal). The sample mean is of course, just the sum of 0s and 1s that occur divided by the number of crystals opened and the LLN would claim that this should approach the true success rate (whatever the proposed drop rate is for 6 stars in the paragon crystal). This has nothing to do with the absolute count of 6 stars you attain which we expect to grow infinitely far from the expected count which seemed to be the topic of the “correction” you were making. Dont mistake a lack of understanding on your part for an error on mine
You would have to have misread what I wrote to think this disagrees in any way. I spoke only about the sample mean not some observed raw count of crystals which implicitly means that that proportion is all that matters (hence 1/n). If I were explaining it simply to someone I would even leverage that fact in that observed counts matter less as the sizes grow larger- thats kind of the point in a very measure theoretic naive way (although I have to stress that it really doesn’t capture the depth of the statement). I wouldn’t (and didnt) say that the accurate claim was that the observed count of crystals should converge to the expected count of crystals only, to quote myself: “ The accurate claim is that over sufficiently large batches of crystals the sample mean should converge a.s to the true mean (or in probability if you weaken the statement)”. I'm afraid that's word salad. If you're going to try to get technical, then the proper way to discuss what normal people see when they open champion crystals is that we're looking at distributions, not means. There's no such thing as the mean of a set of crystal openings. If someone is expecting to see a certain amount of 6* champs pop out of a crystal, the question is what would reasonable expectations be from a certain number of crystals, and on a meta level what would reasonable expectations be for the number of such distributions that are observed.In the context of distributions, the "statistical average" refers to the statistical average result, which is the average quantity of 6* drops you would observe given the predicted distribution.However, in the context of opening crystals, there is no "sample mean." That's a complete misuse of language.
You would have to have misread what I wrote to think this disagrees in any way. I spoke only about the sample mean not some observed raw count of crystals which implicitly means that that proportion is all that matters (hence 1/n). If I were explaining it simply to someone I would even leverage that fact in that observed counts matter less as the sizes grow larger- thats kind of the point in a very measure theoretic naive way (although I have to stress that it really doesn’t capture the depth of the statement). I wouldn’t (and didnt) say that the accurate claim was that the observed count of crystals should converge to the expected count of crystals only, to quote myself: “ The accurate claim is that over sufficiently large batches of crystals the sample mean should converge a.s to the true mean (or in probability if you weaken the statement)”.
“Rigged” is a strong term to use. I agree that pRNG seems in many instances to tilt against us. Some of that is our own cognitive bias, some of it is our own distorted sense of what *random* means, and some of it (I think) is the way the game’s pRNG sometimes seems to produce clumpy outcomes. I’ve wondered often over the past decade of this game about all of this. I don’t believe anything is purposefully meant to confound us, but I’m also a believer that there’s some much code overwritten on code that it’s difficult for anyone to know how things actually work sometimes. Dr. Zola
@DNA3000 there was a lot of text to skim through, but I did see you mention statistical averages. I apologise if you've already explained the answer to this somewhere else, but surely the best statistical test to confirm droprates would be to do a p-value test? The only problem is I don't know what an appropriate value would be for this (the standard is 0.05 which probably isn't a bad starting point) and we would need a decent sample size (maybe 1,000 paragon crystals?) Then if the p value exceeded 0.05 that would be decent evidence the droprates were indeed correct and would probably dispel a lot of the myths and fears people have.
“Rigged” is a strong term to use. I agree that pRNG seems in many instances to tilt against us. Some of that is our own cognitive bias, some of it is our own distorted sense of what *random* means, and some of it (I think) is the way the game’s pRNG sometimes seems to produce clumpy outcomes. I’ve wondered often over the past decade of this game about all of this. I don’t believe anything is purposefully meant to confound us, but I’m also a believer that there’s some much code overwritten on code that it’s difficult for anyone to know how things actually work sometimes. Dr. Zola It's this imo. Whatever seed is used for the pRNG gets reused in clumps.
I am willing to wager that even if we showed everyone the code that governs these mechanics, it would convince even fewer people as not everyone has coding experience, myself included. That would be great, why not show us? That would be the best evidence to show for example, the coded odds for paragon crystals are exactly what it says in game.I've been unlucky with my 7 star roster when it comes to crystals I've earned in game, and quite lucky when it comes to outright buying 7 stars. I don't think Kabam do 'rig crystals' (it's simply unfeasible to decide which champs were 'bad' and then weight the odds in favour of pulling them,) and I really don't see an advantage for them doing this.The only valid concern people raise is sometimes being concerned that the odds were incorrectly displayed, or the crystals were coded incorrectly. I believe this has happened in the past (such as crystals not containing the correct featured champion and compensation got sent out fairly quickly). A lot of people just don't understand statistics. I for instance went 400 paragon crystals without a 7 star. That does not prove the crystals are rigged as I should've gotten 4 7stars. It simply means that I could be part of the really unlucky 1.79% (0.99^400) of people that it happened to (not an insignificant number when considering mcoc's playerbase).TLDR: There's no 'proof' the crystals are rigged and I don't really see any good reason for Kabam to misrepresent the odds for them either. But equally Jax, why not show us the code that does govern the mechanics? That transparency could dispel a fair few (albeit unfounded) fears.
“Rigged” is a strong term to use. I agree that pRNG seems in many instances to tilt against us. Some of that is our own cognitive bias, some of it is our own distorted sense of what *random* means, and some of it (I think) is the way the game’s pRNG sometimes seems to produce clumpy outcomes. I’ve wondered often over the past decade of this game about all of this. I don’t believe anything is purposefully meant to confound us, but I’m also a believer that there’s some much code overwritten on code that it’s difficult for anyone to know how things actually work sometimes. Dr. Zola It's this imo. Whatever seed is used for the pRNG gets reused in clumps. It is certainly possible that seeds get reused, but seed reuse would not likely cause "clumpiness" in crystal openings, at least not in terms of being observed by players. Keep in mind, there's thousands of players constantly opening crystals. Two consecutive crystals for you might not even actually be consecutive crystals. The one oddity that showed up in my analysis of crystal openings back in the day was consecutive correlation: the odds of a drop being identical to a previous drop. The odds of that happening appeared to be very slightly higher than I would have expected at the time. However, it was only slightly higher, and within the margin for error, and even if it was correlated as much as I was seeing in my data it would not be the sort of thing that players would be able to notice.Nobody really streams huge numbers of crystal openings any more, so sources of large uncontaminated data, along with my willingness to stare at thousands of crystals being opened one at a time, have both gone the way of the Dodo.
“Rigged” is a strong term to use. I agree that pRNG seems in many instances to tilt against us. Some of that is our own cognitive bias, some of it is our own distorted sense of what *random* means, and some of it (I think) is the way the game’s pRNG sometimes seems to produce clumpy outcomes. I’ve wondered often over the past decade of this game about all of this. I don’t believe anything is purposefully meant to confound us, but I’m also a believer that there’s some much code overwritten on code that it’s difficult for anyone to know how things actually work sometimes. Dr. Zola It's this imo. Whatever seed is used for the pRNG gets reused in clumps. It is certainly possible that seeds get reused, but seed reuse would not likely cause "clumpiness" in crystal openings, at least not in terms of being observed by players. Keep in mind, there's thousands of players constantly opening crystals. Two consecutive crystals for you might not even actually be consecutive crystals. The one oddity that showed up in my analysis of crystal openings back in the day was consecutive correlation: the odds of a drop being identical to a previous drop. The odds of that happening appeared to be very slightly higher than I would have expected at the time. However, it was only slightly higher, and within the margin for error, and even if it was correlated as much as I was seeing in my data it would not be the sort of thing that players would be able to notice.Nobody really streams huge numbers of crystal openings any more, so sources of large uncontaminated data, along with my willingness to stare at thousands of crystals being opened one at a time, have both gone the way of the Dodo. I'm naturally basing this off experience of course and not any data e.g. like duping the same champ from different crystals when I open them in a row, and several instances of myself and alliance mates opening crystals containing close to 200 champs and 3 of us getting the same champ within seconds of our openings eg AW rewards.If the pseudo random number generator is using several factors to seed eg time of day, geolocation (probably not this one), alliance_id etc, its theroetically possible the same numbers are coming up more often than not when crystals are opened at the same time or in batches. It doesn't change that it's random, but...
. It is not easy to make an RNG that is broken, but not too broken. Not impossible, but not easy to just do by accident.
It will never cease to amaze me, the amount of energy that people willingly sacrifice to refuse accepting not getting what they want. Almost instant to go from "That sucks!" to "Kabam cheated!".
You pull 5 x 6* featured crystals and you get 4 of these out of 5. The fifth an equally old and useless champ, Green Goblin,Really really weird level of being unlucky, lol.
You pull 5 x 6* featured crystals and you get 4 of these out of 5. The fifth an equally old and useless champ, Green Goblin,Really really weird level of being unlucky, lol. I won't say they're "rigged", BUT it sure looks suspiciously "programmed" to give us certain champs. Right before Nightcrawler's buff, I got him in a Nexus crystal. And last year when Zemo was hyped up, I got him from a Paragon Daily crystal* crystal. Never pulled ANY champ from that crystal. Ijs 😂
It will never cease to amaze me, the amount of energy that people willingly sacrifice to refuse accepting not getting what they want. Almost instant to go from "That sucks!" to "Kabam cheated!". Most conspiracy theories are born out of the human brain’s unwillingness to accept that sometimes bad things just happen beyond anybody’s control. We want to believe that they have a cause or a purpose and that we don’t just live in a world capable of uncaring, undeserved suffering. We look for stories and patterns in it and draw conclusions that frequently aren’t there, because it’s more comforting to believe that there is a person or entity orchestrating things behind the scenes than it is to accept that life is chaotic and sometimes you just get unlucky.
I saved for 3 months. Had 28 featured crystals ready to go.Had all the resources ready to R4 and ascend Bullseye.You'd think I'd pull him at least once out of 28 crystals...But no. Pulled everybody else.Except Bullseye. Actually make that 29 coz I opened another one a day later. I have no words for it, other than I'm never saving for features ever again. Ps. Bullseye was the only champ I wanted. Naturally 🤦♀️
I saved for 3 months. Had 28 featured crystals ready to go.Had all the resources ready to R4 and ascend Bullseye.You'd think I'd pull him at least once out of 28 crystals...But no. Pulled everybody else.Except Bullseye. Actually make that 29 coz I opened another one a day later. I have no words for it, other than I'm never saving for features ever again. Ps. Bullseye was the only champ I wanted. Naturally 🤦♀️ So you can't open anymore current featured crystals? This is just a weird thing to say.