there's also a formatting issue now in that field showing a double % character. I've seen this before because % is the escape character in printf() sometimes a new coder will try and escape the % and type %% where you only need one %. Then the actual variable is formatted as an integer so you probably have %%%d in your code where the correct notation would be %%d
i think when they tried to fix the display the messed up the math or else the percentages have been modified by a huge amount that changes the game for the worse and without any real warning
new revolt percentages seem poorly conceived
formerly the scale on a newly captured province (25 morale) went from 28% with no units to 1% with 6 units. The steps in between were 21% for 1 unit, 15% for 2 units, 10% for 3 units, 6% for 4 units, 4% for 5 units.
currently I have 11 units on a province with 25 morale and the percentage is 4%, 6 units is still showing as 9%, and 1 unit showing as 17%, that seems like a ridiculously large shift and given that the revolt can not only take your province away but give someone else the majority of your units you seem to be adding a huge amount of variance that only hurts players who are actually attacking. You've made it 25% less likely that a revolt happens if you have one unit while making it 900% greater with 6 units.
You're effectively slowing down a game that is already pretty darn slow. Now when you're on the offensive with 50 units. you'll have to stop after 1-2 provinces per day maximum if you want to prevent revolts.
Can someone explain the logic here?
I saw a post saying the bug fix changed the numbers being shown to the correct numbers but there is no chance possible that 6 units has always been 9% because I leave 6 units on a large portion of the provinces I take and that's 1000's of provinces and I've only had 1 revolt ever on a 6 and none ever on a 7. If 11 is now 4% then 7 must be 7-8% and I've literally had that situation 3000+ times with no revolts.
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The formula will be adjusted again in an upcoming update to deliver results closer to the original values.
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