# 
# fi language letter distributions for Lexica
# 
# Automatically generated by a genetic algorithm run with 1000 iterations
#  - Each iteration, 100 4 x 4 Lexica boards were generated.
#  - The fitness function looks at how many words can be played on each of these boards.
#  - Fitness is defined as "(Mean * Mean) - (Standard Deviation * Standard Deviation).
#
# The goal is boards that on average have a high number of words available (boards with zero or only a small number of words are not good),
# but the standard deviation is low (some languages tend to result in boards with hundreds of words, which is also not particularly great).
#
# Fitness for this probability:
#   Min: 41, mean: 109, max: 183, stddev: 31, score: 9999
# 

a 94 72 15 1 1
b 2 1
ä 1 1 1 1 1
d 1 1
e 14 3 1 1
f 2 1 1
g 1 1 1 1
h 1 1 1
i 77 61 19 1 1
j 1 1 1
k 81 68 15 1
l 74 7 1 1 1
m 25 1 1 1
n 6 1 1 1
o 63 1 1 1
p 1 1 1 1
r 40 12 1 1
s 88 33 8 1
t 96 62 4 1 1
u 94 42 11 1 1
v 6 1 1
ö 2 1 1
y 3 1 1 1