Just created this to answer a student's question. I do not care for social media, but maybe I can help demystify or correct some misconceptions about statistics
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Nov 5, 2020 • 16 tweets • 4 min read
I am making these tweets to explain in one place some analysis that was done last night.
1 - I was asked offline about doing Benford's on election data. I explained that this is common and a useful way to detect anomalies in data that are driven by artificial process (e.g. fraud)
2 - My student then pointed me towards a tweet that was exploring this type of analysis (but they hadn't done Benford's). So I chimed in.
Nov 5, 2020 • 5 tweets • 3 min read
@QuasLacrimas@VirtuArete I can help you if you'd like. I have multiple processes for performing Benford's chi-squared tests using Python. If your data is available via link, let me know and I can customize a script for you and send it to you.
@QuasLacrimas@VirtuArete To speed things along, look at the following I'm posting. First use this to create the Benford's ratios:
def getBenfords():
expected = [log10(1+1/d) for d in range(1,10)]
return expected
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