Yes, there were statistical anomalies on Election Day - Now what?

Please note that acknowledging statistical anomalies is not the same as saying that there is clear evidence of “voter fraud.” It’s simply an acknowledgment, and a question - What now?

A recent study pointed out the anomalies in vote totals in key swing states on the night of the 2020 election. I suggest reading the lengthy study for yourself, but it brings some pretty concerning numbers to light. Numbers that on their own are not “proof” of fraud, but certainly deserve more investigation. If anything, they need to be investigated so we can put these accusations to rest. Our country will never move forward if half the country believes Joe Biden is an illegitimate president. Just look at the attitude of the left over the last 4 years as an example.

The study focuses on what they call “data dumps.” These data dumps are changes in vote totals across the nation. This data was provided by the New York Times and analyzed by Vote Pattern Analysis.

In particular, we are able to quantify the extent of compliance with this property and discover that, of the 8,954 vote updates used in the analysis, these four decisive updates were the 1st, 2nd, 4th, and 7th most anomalous updates in the entire data set. Not only does each of these vote updates not follow the generally observed pattern, but the anomalous behavior of these updates is particularly extreme. That is, these vote updates are outliers of the outliers.
The four vote updates in question are: 
An update in Michigan listed as of 6:31AM Eastern Time on November 4th, 2020, which shows 141,258 votes for Joe Biden and 5,968 votes for Donald Trump
An update in Wisconsin listed as 3:42AM Central Time on November 4th, 2020, which shows 143,379 votes for Joe Biden and 25,163 votes for Donald Trump
A vote update in Georgia listed at 1:34AM Eastern Time on November 4th, 2020, which shows 136,155 votes for Joe Biden and 29,115 votes for Donald Trump
An update in Michigan listed as of 3:50AM Eastern Time on November 4th, 2020, which shows 54,497 votes for Joe Biden and 4,718 votes for Donald Trump

Once again, I recommend reading as much of the study as possible to see the presented anomalies for yourself.

So what's the answer to “Now What?”

Remember, I’m not alleging anything. I am, however, suggesting that these findings be taken seriously, and that they are looked at with heavy scrutiny.

These numbers are not evidence of fraud, but they are the result of one of only a few options:

Accepting this at face value requires the belief that the most pro-Biden subset of the votes -- by geography and vote type -- was counted entirely in one batch.  It would be extremely surprising if all mail-in ballots in the two most favoring Biden counties in the state, Dane and Milwaukee County, were entirely contained in this batch, and so it raises the question as to why we didn’t see even more pro-Biden updates in smaller, higher-variance vote updates in these heavily Democratic areas.  If we are to accept that these votes were counted entirely in one batch, this raises serious questions as well.  In particular, given the ambiguity -- to this day -- about where the vote-tabulation process was stopped and why, it makes little sense why these votes would be released in such an unusually large batch.

Why did these massive data dumps so heavily favor Biden? Why weren’t there any massive data dumps around the nation in non-swing states with these types of statistical outliers? Why weren’t there any data dumps around the nation that went in favor of Trump?

These are all questions that need answered, if anything, for the future integrity of our election process, and our republic. This society, heavily controlled by the Federal Government, cannot function when 74 million people believe the election was not legitimate. I once again ask you to look beck over the last years of claims that Hillary Clinton was the actual winner of the 2016 election. Officials on all sides should be interested in providing an explanation of these statistical abnormalities, and I hope they take that responsibility seriously.