more clarifications

Author: Trolldemorted

src/ch05-03-reputation.md

@@ -142,6 +142,12 @@ The `handle_crime_social_reputation_impact` function at `0x004F8F10` reduces the
 |0xe|-6.0|
 |0xf|-8.0|
 
+### Bath House Bribes
+A successful bribe increases the social reputation by `min(amount * 0.000099999997, 3.0)`.
+Consequently, successfully bribing with 30000 or more gives the maximum social reputation gain.
+
+A failed bribe decreases the social reputation by `2.0`.
+
 ### Degradation
 
 ## Trading

src/operations/0042-bath-house-bribe-success.md

@@ -1,2 +1,7 @@
 # Bath House Bribe Success
 The `handle_operation_bath_house_bribe_success` function at `0x0053AC50` applies the effects of a successful bribe.
+Money is subtracted as expected, and the expenses are added to the monthly expenditure statistic under *"miscellaneous"*.
+
+The merchant's social reputation in the corresponding town is increased as explained in the reputation section.
+
+**There is a check which probably should prevent a merchant from bribing more than 2 councillors in one town. However, this check is bugged, as discussed in the Known Bugs chapter.**

src/operations/0043-bath-house-bribe-failure.md

@@ -1,7 +1,7 @@
 # Bath House Bribe Failure
 The `handle_operation_bath_house_bribe_failure` function at `0x0053AD10` applies the effects of a failed bribe.
 
-The merchant's social reputation in the corresponding town is decreased by `2.0`.
+The merchant's social reputation in the corresponding town is decreased as explained in the reputation section.
 
 **If the councillor was already successfully bribed by the merchant or not bribed by any merchant, he will now be bribed by the merchant with the index 1.
 This is wrong, as discussed in the Known Bugs chapter.**

src/towns/bath-house.md

@@ -40,6 +40,8 @@ It defines the following *bribe base factors* for each rank:
 
 The bribe result is calculated as follows:
 ```python
+BRIBE_BASE_FACTORS = [0, 1, 2, 3, 5, 7, 10, 15]
+
 def calculate_expected_bribe(rank: int, rand: int, already_bribed: bool):
     price = 500 * (rand % 11 + 4 * BRIBE_BASE_FACTORS[rank] + 16)
     if already_bribed: