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  2. FiveThirtyEight - Wikipedia

    en.wikipedia.org/wiki/FiveThirtyEight

    The final prediction by FiveThirtyEight on the morning of election day (November 8, 2016) had Hillary Clinton with a 71% chance to win the 2016 United States presidential election, [69] while other major forecasters had predicted Clinton to win with at least an 85% to 99% probability.

  3. 2020 United States presidential election predictions - Wikipedia

    en.wikipedia.org/wiki/2020_United_States...

    Toggle the table of contents. 2020 United States presidential election predictions. Add languages. ... Win Nov 3, 2020 [11] ABC News Nov 2, 2020 [12] NPR Oct 30, 2020 ...

  4. Nate Silver - Wikipedia

    en.wikipedia.org/wiki/Nate_Silver

    Nathaniel Read Silver (born January 13, 1978) is an American statistician, writer and poker player who analyzes baseball, basketball and elections.He is the founder of FiveThirtyEight and held the position of editor-in-chief there, along with being a special correspondent for ABC News until May 2023. [2]

  5. 2016 President Forecast - The Huffington Post

    elections.huffingtonpost.com/2016/forecast/president

    To compare our model with others, we output the probability each candidate will win in each state. Download our TSV files for state-by-state averages and state-by-state curves. 2. Likely Vote Counts. Finally, we simulate a Nov. 8 election 10 million times using the state-by-state averages. In each simulation, we generate a result for each state ...

  6. Election savant Nate Silver has put his marker down and revealed his “gut says” that former President Donald Trump will emerge victorious in the Nov. 5 election, while warning that polling ...

  7. Ranking the national title probabilities of every March ...

    www.aol.com/news/ranking-national-title-odds...

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  8. FiveThirtyEight sees Boston Celtics tied for best title odds ...

    www.aol.com/news/fivethirtyeight-sees-boston...

    The data wizards at FiveThirtyEight are high on the Celtics' 2020-21 title odds. Skip to main content. Sign in. Mail. 24/7 Help. For premium support please call: 800-290-4726 more ways ...

  9. Continuous Individualized Risk Index - Wikipedia

    en.wikipedia.org/wiki/Continuous_Individualized...

    Continuous Individualized Risk Index (CIRI) (initialism pronounced /ˈsɪri/) is to a set of probabilistic risk models [1] utilizing Bayesian statistics for integrating diverse cancer biomarkers over time to produce a unified prediction of outcome risk, as originally described by Kurtz, Esfahani, et al. (2019) [2] [3] [4] from Ash Alizadeh's laboratory at Stanford.