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Warshington State rejected Ballots by POC, Men and Young Voter
LebamDawg
Member Posts: 8,742 
in Tug Tavern
Breaking news from the 2020 election.
https://www.chronline.com/stories/washington-counties-rejected-ballots-from-people-of-color-men-younger-voters-at-higher-rates,283914
and a few excerpts from the article
In the 2020 general election, Washington counties were more likely to reject ballots by younger voters, men and people of color, compared to other racial and demographic groups, according to a review by the state auditor's office.
While fewer than 1% of ballots cast in the 2020 general election were rejected, according to the audit...
The audit used a mix of hard data and statistical modeling, according to the auditor's office. For example, election data is available on voters' residence, age and gender.
For determining race and ethnicity, auditors used a predictive algorithm developed by the RAND Corporation that's been around for about 15 years, according to Scott Frank, director of performance and IT audit for the office. That modeling combines information like census tracts — which have demographic information available — and other information like surnames, which have a probability of being associated with different racial and ethnic groups, he said.
What I got out of this article - names are racist and the state auditor has too much money
https://www.chronline.com/stories/washington-counties-rejected-ballots-from-people-of-color-men-younger-voters-at-higher-rates,283914
and a few excerpts from the article
In the 2020 general election, Washington counties were more likely to reject ballots by younger voters, men and people of color, compared to other racial and demographic groups, according to a review by the state auditor's office.
While fewer than 1% of ballots cast in the 2020 general election were rejected, according to the audit...
The audit used a mix of hard data and statistical modeling, according to the auditor's office. For example, election data is available on voters' residence, age and gender.
For determining race and ethnicity, auditors used a predictive algorithm developed by the RAND Corporation that's been around for about 15 years, according to Scott Frank, director of performance and IT audit for the office. That modeling combines information like census tracts — which have demographic information available — and other information like surnames, which have a probability of being associated with different racial and ethnic groups, he said.
What I got out of this article - names are racist and the state auditor has too much money