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5 attacks 2 - looses too many times.: 11/18/2011 00:30:03


Richard Sharpe 
Level 59
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Cowman, why the divide by 2? The rest all makes sense to me.

.95136=1-(5*.6*.4^4/2+.4^5)
5 attacks 2 - looses too many times.: 11/18/2011 08:03:32


Guiguzi 
Level 58
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with 75%:

- if there is a spot i consider very important, i attack with 7
- if there is a spot i consider vital, i attack with more than 7

i've seen a 9 or 10 attack fail to take a 2 once. 7 very rarely doesn't take the 2.
5 attacks 2 - looses too many times.: 11/18/2011 09:03:34


Perrin3088 
Level 49
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it would require 14 armies attacking, at 75% luck, to have 100% chance to win killing 2

13*.6=7.8
7.8-(7.8*0.75)= 1.95

minimum armies killed would be 1.95, thus s light chance to not kill 2, using 13
5 attacks 2 - looses too many times.: 11/18/2011 09:30:17


Guiguzi 
Level 58
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i think fizzer wrote somewhere about rounding up when doing these calculations. maybe that means 13 kills 100% too
5 attacks 2 - looses too many times.: 11/18/2011 11:21:31


Perrin3088 
Level 49
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I'm fairly certain that all subsets are not rounded.. ie .95 armies killed = 95% chance of success... but we haven't had a debate involving something like this for months, so it is probably buried somewhere I won't bother to find, lol
5 attacks 2 - looses too many times.: 11/18/2011 18:00:03


Math Wolf 
Level 64
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Something is off here.

In the first, he has a -7 cumulative offensive luck, in the second one he has -13. These values are too big (I could calculate how improbable it is).

I tried it myself in single player and I got -6.4
5 attacks 2 - looses too many times.: 11/18/2011 18:02:58

cowmandude 
Level 40
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Divided by two because if x=1 there is a 50% chance that y=2 and a 50% chance that y=1.

Your minimum kills would be the minimum of possible events in Y when x=0. This would imply(from the formula in a previous post) minKills= floor(np(1-L)). Fixing p=.6 and L=.75 this means minKills = floor(.15*n).

Thus from this I would agree with Perrin's analysis.

The wiki suggests that in the event of a fractional kill, that kill takes place with the probability of the fraction. I.E. 1.95 kills results in 1 kill 5% of the time and 2 kills 95% of the time.
5 attacks 2 - looses too many times.: 11/18/2011 18:12:57


Richard Sharpe 
Level 59
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Mathwolf... the huge negative makes sense given the context. He is only ever making the same attack with a high chance of success. As such there is never an opportunity to have positive luck (safe players don't get positive luck by the very fact they are safe).

He would have to repeatedly attack 3 v 2 or something similar in order to see positive luck impact the game.
5 attacks 2 - looses too many times.: 11/18/2011 18:14:40


Richard Sharpe 
Level 59
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Makes sense cowman... had completely forgotten about that aspect. Was trying to figure out where it came from forgetting about the luck aspect and instead simply doing the binomial distribution consideration.

Thanks for the answer.
5 attacks 2 - looses too many times.: 11/18/2011 20:35:04

Mo-Tah
Level 2
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Question..,
What about the good-ole **You've Been Screwed** factor? It sure seems to play a big part in real life..,
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