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@ILikePie5
Code was wrong. I had a logic error. Here's the right version:
import numpy as np
def runSimulation(numMaf):
players = [0]*numMaf + [1]*(10-numMaf)
np.random.shuffle(players)
players = players[5:]
players.remove(1)
np.random.shuffle(players)
return players[0]
for i in range(2,5):
sum = 0
count = 0
for j in range(50000):
sum += runSimulation(i)
count += 1
print("For ", i, " scum, the odds of town victory with this strategy is", sum/count)
Results are not as optimistic:
For 2 scum, the odds of town victory with this strategy is 0.75044
For 3 scum, the odds of town victory with this strategy is 0.62674
For 4 scum, the odds of town victory with this strategy is 0.5013
