A college mathematics professor has apologized for shortcomings in his statistical analysis of Pennsylvania mail-in votes that appeared to reinforce concerns about potential voter fraud.
Steven Miller, a professor of mathematics at Williams College, acknowledged “lack of clarity and due diligence” in crunching the numbers without addressing concerns about the underlying data, while saying he stands by his decision to carry out the analysis. He urged further study to determine “if there are issues,” and find out “how we can do better in future elections.”
“I estimate that the number of ballots that were either requested by someone other than the registered Republican, or requested and returned but not counted range from 89,397 to 98,801,” he said in the affidavit.
He said that “almost surely, the number of ballots requested by someone other than the registered Republican is between 37,001 and 58,914,” and that “almost surely the number of ballots requested by registered Republicans and returned but not counted is in the range from 38,910 to 56,483.”
“This data, which is provided by an expert witness, who would be qualified in almost any court in the country, adds to the conclusions that some level of voter fraud took place in this year’s election,” Trainor told the outlet. “Therefore, the rush to certify results that are this suspicious from places with known election violations would nullify millions of votes that were legally cast by individual voters.”
But Miller’s work was rebuked by a number of academic peers, who said his work was flawed because it overlooked potential problems with the data on which it was based. Miller said he analyzed data from Pennsylvania’s election that was collected by Matt Braynard, who formerly worked for the Trump campaign, and conducted 2,684 voter interviews by a phone bank.
Carina Curto, a professor of mathematics at Pennsylvania State University, told The Berkshire Eagle that Miller’s numbers are most likely incorrect, as the data on which they are based are probably not a representative sample of all Pennsylvania GOP voters who requested but didn’t return a ballot.
“This small sample from the phone survey almost surely has large sampling biases and systematic errors,” Curto told the newspaper. “There is absolutely no reason to believe it is representative of the larger population.”
Another academic, Lior Pachter, a computational biologist at the California Institute of Technology, told The Berkshire Eagle that issues such as incorrect phone numbers could have skewed the results.
Miller, in a statement to the Eagle, acknowledged he should have been more diligent in reviewing the underlying data.
“Especially as the consequences are so important, I should have made a greater effort to go deeply into and share how the data was collected and not treat this solely as an independent calculation,” he told the publication.
Trump’s legal team, however, has said they have found enough evidence to potentially overturn the election.