Former vice president and 2020 presidential candidate Joe Biden said that several heads of state, including the deceased Margaret Thatcher, have reached out to him to express their concern about President Donald J. Trump.
“Biden also told donors that he’s heard from 14 heads of state from around the world who’ve voiced concerns to him about Trump,” according to Bloomberg. “That list included Margaret Thatcher, he said, before correcting what he called a ‘Freudian slip,’ that he was actually referring to current British Prime Minister Theresa May.”
“Margaret Thatcher, um, excuse me, Margaret Thatcher – Freudian slip – but I knew her too… The Prime Minister of Great Britain Theresa May,” he reportedly said while listing off names of those who are concerned with Trump’s presidency.
Thatcher left political office in 1990.
Biden was speaking a $2,800 per head fundraiser in Columbia, S.C. on Saturday night. The 76-year-old candidate has faced mounting questions about his age as he kicks off his presidential bid. Last week, he slurred and rambled through a speech to union members in Pennsylvania last week.
Big League Politics reported:
Democrat presidential candidate Joe Biden slurred his way through a rambling speech Monday at a Teamster local hall in Pittsburgh. Biden is clearly focusing on the Midwest and on union voters, and though he has a good chance of cutting into President Trump’s lead there Trump still has the support of many rank-and-file union members if not the leadership.
Biden’s speech was less than inspiring:
Biden really nailed it today. [Supercut!] pic.twitter.com/kC49kEnGqT
— Tom Elliott (@tomselliott) April 29, 2019
Biden also landed in hot water over comments about visiting inner-city communities, which he called “the hood” at a campaign stop in Iowa.
“Through a program, we had through community colleges, we said look, put together a program for us where we could teach people how to code,” he said. “We went out, literally into the hood, and they found, turns out, 54 [people], they happened to be all women, the vast majority were women of color, no more than a high school degree, aged 25-54, and a third of them only had GEDs.”
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USC Experimental Model Polling Calculation Forecasts Donald Trump Election Victory
They’re accounting for what they call social desirability bias.
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.”
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.”
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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