Timeline for Do vote counts for Joe Biden in the 2020 election violate Benford's Law?
Current License: CC BY-SA 4.0
6 events
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| Nov 12, 2020 at 1:11 | comment | added | Acccumulation | @Mark It's quite possible for percentages to span multiple orders of magnitude. Do you mean that these particular percentages don't span multiple orders of magnitude? That's my point: not all data sets follow Benford's Law. | |
| Nov 12, 2020 at 1:09 | comment | added | Mark | You can't use percentages when applying Benford's law -- they don't span multiple orders of magnitude. If you use the raw vote count for Trump 2016, the distribution of leading digits looks decidedly Benfordian. | |
| Nov 11, 2020 at 4:29 | comment | added | Oddthinking♦ | Where are your Trump numbers from. Citing a Reddit commenter as an authority seems rather weak. The middle part of the analysis needs references; we have no reason to trust you as an analyst. Who says Biden's distribution is a good fit for Poisson/lognormal? I suggest linking to some explanations of fallacies in the last paragraph because it isn't clear. | |
| Nov 11, 2020 at 4:25 | history | notice added | Oddthinking♦ | Needs citation | |
| Nov 9, 2020 at 2:08 | history | edited | Acccumulation | CC BY-SA 4.0 |
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| Nov 9, 2020 at 1:58 | history | answered | Acccumulation | CC BY-SA 4.0 |