Model for imbalance, with myths - Page 6
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Harstem
Netherlands262 Posts
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RoachyRoach
81 Posts
On May 20 2011 23:46 Atlare wrote: No that doesn't work since people would probably not play the game if you were forced random -.- I disagree. People would play more customs to tone thier individual race matchups. Then ladder was all RvR. I would love that. I imagine SC tournies where player vs player is a bo9 pvp pvz pvt tvp tvz tvt zvp zvz zvt Would be the only way to actually tell who is the better starcraft player is. edit: "your wrong because I think" statements are pointless. | ||
Kenderson
Canada280 Posts
Suggestions for balancing forcefields (if they are in fact imba): + Show Spoiler + -Higher forcefield energy cost for less forcefields total. -Lower sentry energy cap for less forcefields total. -More expensive sentries for less sentries total and thus less forcefields. -Slower sentry energy regeneration so it takes longer to recharge and to bank extra forcefields. -Maybe a forcefield cooldown or something so they can't use so many in a short time period. -Smaller forcefield radius to decrease their effectiveness? Idk | ||
Myia
173 Posts
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Black Gun
Germany4482 Posts
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Volka
Argentina408 Posts
I found the Myth section particulary disturbing. | ||
Scriptix
United States145 Posts
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whatthefat
United States918 Posts
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TheFrankOne
United States667 Posts
While in a theoretical sense balancing for the top works, it is a bad business decision and so will/should not be the exclusive way the game is balanced. | ||
CryMore
United States497 Posts
I think the ultimate conclusion is that understanding racial imbalance is a ridiculous difficult task that can't be simplified to current statistics or specific game mechanics/units. No one is qualified to talk about balance, even the top players. What balance talk degrades to is just biased statements backed up by statistically flawed data. Please don't get discouraged by anyone who disagrees with you without any real backup. They don't understand you are not making any ACTUAL data analysis, but providing a model of how racial imbalanced can be viewed from a purely statistical viewpoint. Please write your next article, I would be really interested in seeing what kind of conclusion you can draw. | ||
infinity2k9
United Kingdom2397 Posts
On May 20 2011 15:00 avilo wrote: Just because someone made an incredibly long post does not make it mega awesome or even remotely accurate. The most obvious thing completely wrong with the "post" is to not look at pros for balance. In any RTS game or game you always look at the top level for balance because these are the people playing the game at the highest level and are actively trying to "break the game." Yeah seriously, not going to quote this all but i don't see why people think this is so particularly great just because it's a shitload of words. By this logic BW isn't balanced well enough cause PvT is easier for P for 99% of people. I can't be bothered to go into this any deeper cause this whole thing is basically useless and something that could have been said in about 100 times less words. | ||
sylverfyre
United States8298 Posts
On May 21 2011 02:59 infinity2k9 wrote: Yeah seriously, not going to quote this all but i don't see why people think this is so particularly great just because it's a shitload of words. By this logic BW isn't balanced well enough cause PvT is easier for P for 99% of people. I can't be bothered to go into this any deeper cause this whole thing is basically useless and something that could have been said in about 100 times less words. But the problem with the pros is that they're inherently outliers. We don't exactly have a magic number attached to every pro showing their skill (or even their skill in each matchup) even when we attempt to model it through Elo ratings and such. Statistically the pros are going to always have very odd looking win ratios, and it's extremely hard to draw conclusions from them. | ||
Jombozeus
China1014 Posts
On May 21 2011 03:17 sylverfyre wrote: But the problem with the pros is that they're inherently outliers. We don't exactly have a magic number attached to every pro showing their skill (or even their skill in each matchup) even when we attempt to model it through Elo ratings and such. Statistically the pros are going to always have very odd looking win ratios, and it's extremely hard to draw conclusions from them. Hence the conclusion drawn should be that statistics is not a good way to measure imbalance, NOT that pros are not a good way to draw conclusions FOR statistics. Since we are discussing imbalance at the maximum potential, the statistical outlier is the prime consideration, not to be ignored. To assume that imbalance is equal at any level is absurd as previously stated, the skill:winrate ratio does not scale linearly. | ||
Sleight
2471 Posts
On May 21 2011 03:28 Jombozeus wrote: Hence the conclusion drawn should be that statistics is not a good way to measure imbalance, NOT that pros are not a good way to draw conclusions FOR statistics. Since we are discussing imbalance at the maximum potential, the statistical outlier is the prime consideration, not to be ignored. To assume that imbalance is equal at any level is absurd as previously stated, the skill:winrate ratio does not scale linearly. If we cannot use statistics, what can we use as a metric to examine data? There is ONLY statistics. Within the model presented, the OP does a great job of supporting and defining his argument. Everyone saying imbalances vary at skill levels have a VALID point, but that doesn't make it true. If every Bronze Z loses to 3 Rax an imbalance metric of 2, and every Master Z loses to 2 Rax an imbalance metric of 2, then the imbalance value would be the same overall, assuming the MU was otherwise in harmony, for sake of an argument. The methodology presented argues this: If a race is overpowered against another race, it should exist at a similar level regardless of direct causation or mechanism across all levels for purposes of general game balance. (ie different means at different levels but same net result of imba) What it does NOT argue is this: Racial imbalance is uniform in mechanism across the spectrum (ie 2 rax is always the cause of OP). This approach to balance allows for exactly one thing: Identification and stratification of the most gross (meaning large) imbalances in a game for presence alone. Why such an imbalance is present is up to debate. This means that he game CAN BE balanced as the author proposes at the largest scale and that tweaks in units and fine mechanics must be trade offs in overall power to solve issues at the highest level. Well done, OP. Very neat read. | ||
Jombozeus
China1014 Posts
On May 21 2011 04:11 Sleight wrote: If we cannot use statistics, what can we use as a metric to examine data? There is ONLY statistics. Within the model presented, the OP does a great job of supporting and defining his argument. Everyone saying imbalances vary at skill levels have a VALID point, but that doesn't make it true. If every Bronze Z loses to 3 Rax an imbalance metric of 2, and every Master Z loses to 2 Rax an imbalance metric of 2, then the imbalance value would be the same overall, assuming the MU was otherwise in harmony, for sake of an argument. The methodology presented argues this: If a race is overpowered against another race, it should exist at a similar level regardless of direct causation or mechanism across all levels for purposes of general game balance. (ie different means at different levels but same net result of imba) What it does NOT argue is this: Racial imbalance is uniform in mechanism across the spectrum (ie 2 rax is always the cause of OP). This approach to balance allows for exactly one thing: Identification and stratification of the most gross (meaning large) imbalances in a game for presence alone. Why such an imbalance is present is up to debate. This means that he game CAN BE balanced as the author proposes at the largest scale and that tweaks in units and fine mechanics must be trade offs in overall power to solve issues at the highest level. Well done, OP. Very neat read. Contrary to popular belief, anecdotal evidence from pros usually do. Statistics is the only metric to measure data? Since when have we concluded that a metrics is necessary? The assumption you make with the net result is absolutely preposterous. Its grossly abusing inductive reasoning. The stats themselves show that at different levels, the win% of different races is different in each matchup. I don't understand how you can convince yourself that is a valid argument. As there are still those who have not realized, identification of short term "imbalance" is easy with statistics, we say "hey, we see 55% winrate over terran as zerg at X point master level, hence zerg is more imba than terran at X point master level." That does NOT mean: 1. Zerg is imbalanced compared to terran at all levels 2. Zerg will exhibit the same winrate vs. terran tomorrow, next week, or next month due to a new paradigm shift 3. Zerg players and terran players will exhibit the same level of increase in general skill at the same rate 4. We shouldn't listen to IdrA because of his cognitive bias towards the zerg race 1,2,3 are assumptions that lapses in logic, while 4 is a conclusion the OP made with the utmost lack of respect for pro gamers. Would you go up to a scientist and tell him: "Hey, I know you're a scientist, but because you have cognitive bias I don't believe you should be able to make conclusions about science." PS: Short term can be as short as an infinitely small amount of time | ||
forSeohyun
504 Posts
On May 21 2011 03:17 sylverfyre wrote: But the problem with the pros is that they're inherently outliers. We don't exactly have a magic number attached to every pro showing their skill (or even their skill in each matchup) even when we attempt to model it through Elo ratings and such. Statistically the pros are going to always have very odd looking win ratios, and it's extremely hard to draw conclusions from them. This is wrong: That they are statistical outliers make no difference - if you randomly select 50 Grandmaster Zerg, 50 Grandmaster Protoss, 50 Grandmaster Terran; they should have equal win ratios (within a standard deviation or so, considering the standard error of the mean) as average. Averaging over a large number of samples reduce the variance of the mean. "Odd looking win ratios" are therefore a non-problem as long as the number of randomly selected samples are large. | ||
Clog
United States950 Posts
On May 20 2011 15:00 avilo wrote: Just because someone made an incredibly long post does not make it mega awesome or even remotely accurate. The most obvious thing completely wrong with the "post" is to not look at pros for balance. In any RTS game or game you always look at the top level for balance because these are the people playing the game at the highest level and are actively trying to "break the game." Really all the OP is saying (but ironically not doing in many of his examples in the OP) is: "don't be biased with your balance judgements." Nothing new...and there's no need to go into "intricate mathematics" or math at all for any of this...the OP is overcomplicating things, and likely has not enough experience to legitimately comment on balance or imbalance in the first place. The most qualified people to talk about balance are the pro players and people high up on ladder that are playing the game everyday versus other good players. But 99% of these players are trying to practice and improve themselves and not even worry about balance in the first place, though everyone QQ sometimes. imo OP is just trying to re-invent the wheel on balance discussions aka having a discussion about how to discuss things lol...there's about one of these posts per month or so that pop up with some guy that thinks he's mega smart and mystical with "the maths" -_- there's just so many things wrong in the OP and ironically "biased." Do we really need another thread discussing how we should be discussing things and hordes of low post count people going, "wow you're so smart and amazing." ![]() Nice effort sure...but i think a bit misplaced. Also, the entire premise of the thread doesn't work because there is no definitive model for imbalance. The model everyone uses for imbalance is...guess what? Their personal bias and opinion. Notice my use of italics for emphasis. This post was rather useless. His entire point was, as you said, the model people use for imbalance is their own opinions. The OP is trying to make an effort to move away from that and provide somewhat of a structure for balance discussions. If you're going to try and discredit his post, you should put some effort into not only reading it, but understanding it as well. | ||
iSTime
1579 Posts
On May 20 2011 15:00 avilo wrote: The model everyone uses for imbalance is...guess what? Their personal bias and opinion. Notice my use of italics for emphasis. So basically your argument is, "Everyone uses a broken model for imbalance, therefor fuck you for trying to present a more logical model." That is such mind-boggling poor logic. OP's model is flawed in many ways, but your counterargument is even worse. | ||
Sleight
2471 Posts
On May 21 2011 04:54 Jombozeus wrote: Contrary to popular belief, anecdotal evidence from pros usually do. Statistics is the only metric to measure data? Since when have we concluded that a metrics is necessary? The assumption you make with the net result is absolutely preposterous. Its grossly abusing inductive reasoning. The stats themselves show that at different levels, the win% of different races is different in each matchup. I don't understand how you can convince yourself that is a valid argument. As there are still those who have not realized, identification of short term "imbalance" is easy with statistics, we say "hey, we see 55% winrate over terran as zerg at X point master level, hence zerg is more imba than terran at X point master level." That does NOT mean: 1. Zerg is imbalanced compared to terran at all levels 2. Zerg will exhibit the same winrate vs. terran tomorrow, next week, or next month due to a new paradigm shift 3. Zerg players and terran players will exhibit the same level of increase in general skill at the same rate 4. We shouldn't listen to IdrA because of his cognitive bias towards the zerg race 1,2,3 are assumptions that lapses in logic, while 4 is a conclusion the OP made with the utmost lack of respect for pro gamers. Would you go up to a scientist and tell him: "Hey, I know you're a scientist, but because you have cognitive bias I don't believe you should be able to make conclusions about science." PS: Short term can be as short as an infinitely small amount of time YES! That's exactly the point. You DO say that in the current scientific community. There is a reason paper publication works like it does. Peer review is established so that one person's findings have to hold up to expert in the same area who have NO PERSONAL GAIN. Your quote is EXACTLY why we don't use a single lab's results or a single paper. No one cares if you feel that way if it doesn't hold up to other un-invested parties. So let's pull IdrA a ZvT expert's statment against more ZvT experts AND TvZ experts, and see if they all hold up. Soon enough we are sampling a monster pool and back at statistical analysis. | ||
GeorgeForeman
United States1746 Posts
Of course, it's important to realize that what the OP did was use an incredibly simple model to elucidate a much more complicated game that is SC2. For example, skill is not one-dimensional. There are a lot of things that go into how well a player performs, and nerfs don't interact with these skills uniformly. The point about not using ~50 or whatever games from the latest GSL as a basis for cries of "imba" is also well taken. Not only is the sample pathetically small, it's also highly biased by virtue of the fact that the games are not random draws but in fact are heavily dependent upon previous matches. Moreover, the direction of bias is in no way clear. My point is not that the OP was bad or wrong. Rather, I think the important thing to take away is that if there really is imbalance, it's incredibly difficult to suss it out based on win rates alone, even when we use a metric ton of simplifying assumptions. When discussing balance in the future, a modest approach is therefore recommended. | ||
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