[Python] Why std(skipna=False) and std(skipna=True) yield different results even when there...

I have a pandas Series s, and when I call s.std(skipna=True) and s.std(skipna=False) I get different results even when there are no NaN/null values in s, why? Did I misunderstand the skipna parameter? I'm using pandas 1.3.4

import pandas as pd

s = pd.Series([10.0]*4800000, index=range(4800000), dtype="float32")

# No NaN/null in the Series
print(s.isnull().any()) # False
print(s.isna().any()) # False

# Why the code below prints different results?
print(s.std(skipna=False)) # 0.0
print(s.std(skipna=True)) # 0.61053276

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