Of the 13 predictive "keys" Trump has lost seven of the 13 keys and will lose based on Lichtman's formula which so far has been foolproof.
American University Professor Allan Lichtman joins 'The Story' to explain why he thinks Joe Biden will beat Donald Trump
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and this...
The PRIMARY MODEL gives President Donald Trump a 91% chance of winning the 2020 presidential election, with Democrat Joe Biden having just a 9% chance. Trump would get 362 electoral votes, Biden 176. This forecast is unconditional and final; hence not subject to any updating. It was first posted March 2, 2020, on Twitter.
In 2016, when polls, pundits and forecasters were all predicting a certain victory for Hillary Clinton, the PRIMARY MODEL was practically alone in predicting Donald Trump’s victory. It did so as early as March 7 that year, putting his chance of winning at 87%. 2016 — The Primary Model.
It is a statistical model that relies on presidential primaries and, in addition, on an election cycle as predictors of the vote in the general election. This year the model has been calibrated to predict the Electoral College vote.
For the record, the PRIMARY MODEL picks the winner of 25 out of 27 elections since 1912, when presidential primaries were introduced. The misses are 1960, one of the closest presidential elections, and 2000, when the late count in Florida handed Bush the victory; still Al Gore wound up winning the popular vote.
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Winning the early primaries is a major key for electoral victory in November. On the Democratic side, Joe Biden and Bernie Sanders split the primaries in New Hampshire and South Carolina while Trump handily won the Republican Primary in New Hampshire (the GOP primary in South Carolina was cancelled this year).
What favors Trump in 2020 as well is the cycle of presidential elections operating for nearly 200 years, as illustrated by the snapshot since 1960. After one term in the White House the incumbent party is favored to win re-election unlike the situation when it has held office for two or more terms.
To capture the effects of this electoral cycle and of the nominees’ primary performances, the Primary Model uses data from elections going back as far as 1912. That was the year when presidential primaries were introduced. As it turned out, the candidate who won his party’s primary vote in 1912, Woodrow Wilson, went on to defeat the candidate who had lost his party’s primary vote, William Howard Taft. From then on, as illustrated by a representative set of elections (1964, 1980, and 2012), the candidate with the better primary vote tended to win the general election.
For elections prior to 1952 all primaries were included. Beginning in 1952, only the New Hampshire Primary has been used, as a rule. South Carolina has been added for elections since 2008. Both Obama then and Hillary Clinton in 2016 enjoyed strong support in a large and most loyal Democratic constituency, African-Americans, who are few in numbers in New Hampshire. So did Joe Biden this year in relying on South Carolina as his “firewall.”
primary model is a scientific model of forecasting election results. The Primary Model forecasts presidential elections with great accuracy. Author of The Primary Model, Helmut Norpoth. Political Scientist and Professor at Stony Brook University.
primarymodel.com
