block by MoritzStefaner f3e693620a9e2c7da8f5

(Roughly) gender guessing ars submissions. This is based on the first names of ars electronica submissions up to 2008. Gender guess through https://pypi.python.org/pypi/gender-detector/0.0.4. Results: ({'male': 14847, 'unknown': 10772, 'female': 5281}) estimated 26.2% women

_guess.py