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DNA Test: Elizabeth Warren Has Great-Great-Great-Great-Great-Great-Great-Great-Great-Great Grandparent Who MIGHT Have Been Native American

No, that’s not a typo.

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A U.S. Senator recently took a DNA test which shows that she has only 1.5% of the required ancestry to be considered Native American.

President Donald J. Trump has often taunted Sen. Elizabeth Warren (D-Mass.), calling her “Pocahontas” for her multiple claims that she is part Cherokee, which she has often claimed in order to gain political clout.

In order clear up this confusion, Warren released the results of a DNA test which show that that she is, at most 1/32nd Native American, and at least 1/1024th Native American, according to the Boston GlobeAccording to the article, somewhere between six and 10 generations ago, Warren has a Native American ancestor.

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We did the math and found that in any scenario, Warren is still not Native American enough to be considered American Indian by any tribe today. 

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According to The Globe, if Warren’s “great-great-great grandmother was Native American, that puts her at 1/32nd American Indian.” One must be at least 1/16 Native American to be considered American Indian by tribes in the United States today, meaning that she is only meets 50% of the requirement to be considered Native American.

For fun, we looked into Warren’s worst-case scenario – what if she is only 1/1024th Native American? In other words, what if Warren had a great-great-great-great-great-great-great-great-great-great who was Native American?

Well, 1 divided by 1024 is .00097656, or .09%. That number divided by the 1/16th requirement (.0625 for my readers who are adept at mathematics) comes out to .015625, or only 1.5% of the requirement to be considered Native American today.

Warren is no more related to Native Americans as any of us are related to Adam and Eve. Democrats are clowning themselves trying to pretend that they belong to minority groups (see: Robert Francis “Beto” O’Rourke), thus giving them clout within their party, which hates white people.

Campaign 2020

USC Experimental Model Polling Calculation Forecasts Donald Trump Election Victory

They’re accounting for what they call social desirability bias.

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A polling method utilized by the University of Southern California’s Dornslife College is predicting that President Donald Trump will secure an electoral college victory, deviating from many polling models produced by corporate media in accounting for what they call a “social desirability bias.”

USC’s polling model seeks to account for what they’re citing as shy Trump supporters by asking poll respondents how they believe that those in their own immediatel social circles will vote. The theorists behind the poll argue that such a line of questioning allows respondents more inclined to disclose information to reveal how so-called shy Trump supporters will vote.

“To evaluate the potential impact of the shy voter belief on the responses of poll participants, we asked them three questions: What percent of their social contacts might be embarrassed to admit to pollsters their opinions about Trump or Biden, what percent might fear harassment if they admit these opinions, and what percent might want to obstruct polls by misreporting who they will vote for?

On average, our participants believe that people in their social circle might be more reluctant to admit their support for Trump than for Biden.

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When the presence of socially identified shy Trump voters is accounted for, the USC pollsters ultimately make a cautious prediction that Biden will fail to secure 270 electoral college votes.

When we calculate how many electoral votes each candidate could get based on state level averages of the own-intention and social-circle questions, it’s looking like an Electoral College loss for Biden.

Read the entire USC/Dornslife prediction of the 2020 election, how they account for shy Trump supporters, and what they’re defining as social desirability bias here.

Jim Key of USC points to previous correct predictions of the USC/Dornslife polling model in support of the method’s veracity. He argues that the polling organization correctly predicted the outcomes ofthe  2016 U.S. Presidential election, the 2017 French Presidential election, the 2017 Dutch Parliamentary election, the 2018 Swedish Parliamentary election, and the 2018 U.S. election for the House of Representatives.

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