I was running a procedure to be like one of those games were people try to guess a number between 1 and 100 where there are 100 people guessing.I then averaged how many different guesses there are.

```
from random import randint
def averager(times):
tests = list()
for _ in range(times):
l = [randint(0,100) for _ in range(100)]
tests.append(len(set(l)))
return sum(tests)/len(tests)
print(averager(100))
```

For some reason, the number of different guesses averages out to 63.6

Why is this?Is it due to a flaw in the python random library?

In a scenario where people were guessing a number between 1 and 10

The first person has a 100% chance to guess a previously unguessed number

The second person has a 90% chance to guess a previously unguessed number

The third person has a 80% chance to guess a previously unguessed number

and so on...

The average chance of guessing a new number(by my reasoning) is 55%. But the data doesn't reflect this.