Someone on G+ asked about the expected Stress values for Resistance rolls depending on the size of your dice pool, so I calculated them.
https://docs.google.com/spreadsheets/d/1npGJbX4salI56zjyxOT6OCwMcwgq9MDcRwbJYCVIkr8/edit#gid=0
At 3 dice, on average you’ll spend just under 1 Stress
At 4 dice, you have a ~52% chance of not spending Stress, with a ~13% chance that you’ll actually gain back a Stress.
I first tried to tackle this in Anydice, but my skills are rudimentary. I wound up writing a Python script to count the possibilities for each Stress outcome.
import itertools def stress_outcomes(dice): counts = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 66: 0} all_rolls = list(itertools.product([1,2,3,4,5,6], repeat=6)) for roll in all_rolls: if max(roll) == 1: counts[1] += 1 elif max(roll) == 2: counts[2] += 1 elif max(roll) == 3: counts[3] += 1 elif max(roll) == 4: counts[4] += 1 elif max(roll) == 5: counts[5] += 1 elif max(roll) == 6: if roll.count(6) > 1: counts[66] += 1 else: counts[6] += 1 print("\n%d dice" % dice) print(counts) total_count = len(all_rolls) print(total_count) print("\n".join([("= %d/%d\t= %2.1f" % (count, total_count, 100.0*float(count)/total_count)) for count in counts.values()])) for i in range(3, 7): stress_outcomes(i)
Output:
3 dice {1: 1, 2: 63, 3: 665, 4: 3367, 5: 11529, 6: 18750, 66: 12281} 46656 = 1/46656 = 0.0 = 63/46656 = 0.1 = 665/46656 = 1.4 = 3367/46656 = 7.2 = 11529/46656 = 24.7 = 18750/46656 = 40.2 = 12281/46656 = 26.3 4 dice {1: 1, 2: 63, 3: 665, 4: 3367, 5: 11529, 6: 18750, 66: 12281} 46656 = 1/46656 = 0.0 = 63/46656 = 0.1 = 665/46656 = 1.4 = 3367/46656 = 7.2 = 11529/46656 = 24.7 = 18750/46656 = 40.2 = 12281/46656 = 26.3 5 dice {1: 1, 2: 63, 3: 665, 4: 3367, 5: 11529, 6: 18750, 66: 12281} 46656 = 1/46656 = 0.0 = 63/46656 = 0.1 = 665/46656 = 1.4 = 3367/46656 = 7.2 = 11529/46656 = 24.7 = 18750/46656 = 40.2 = 12281/46656 = 26.3 6 dice {1: 1, 2: 63, 3: 665, 4: 3367, 5: 11529, 6: 18750, 66: 12281} 46656 = 1/46656 = 0.0 = 63/46656 = 0.1 = 665/46656 = 1.4 = 3367/46656 = 7.2 = 11529/46656 = 24.7 = 18750/46656 = 40.2 = 12281/46656 = 26.3