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2018 U.S. Midterm Election Predictions: Based on statistical analysis of turnout in primaries and past election results instead of polls with biased s (en Inglés)
D. Sharp
(Autor)
·
Createspace Independent Publishing Platform
· Tapa Blanda
2018 U.S. Midterm Election Predictions: Based on statistical analysis of turnout in primaries and past election results instead of polls with biased s (en Inglés) - Sharp, D.
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Reseña del libro "2018 U.S. Midterm Election Predictions: Based on statistical analysis of turnout in primaries and past election results instead of polls with biased s (en Inglés)"
This book contains a summary of the predictions for the 2018 U.S. Midterm Election predictions for Senate, House of Representatives and Governor's races, as well as the situation for every State and every House district. You can use the latter as an encyclopedia when you quickly need an overview of the situation for a specific Senate, Governor or House race in the upcoming Midterms. The analysis was completed on August 21st, 2018. Given the intentional inaccuracy of MSM polls due to samples containing a much larger percentage of Democrats and left-leaning Independents than the general populations, the 2018 U.S. Midterm Election predictions in this book are made using a different method measuring enthusiasm represented by total number of voters who turned out in Democrat versus Republican State and District primaries. In States and Districts where the candidate(s) for one or both sides in a race is/are running uncontested, or the primary election has not yet happened at the time of publication of this analysis, the results of the previous election have been used to make a prediction. The premise is that Republican and Democrat Parties and their voters now represent two diametrically opposite visions for the future of America, therefore the level of turnout, rather than persuasion will determine who gets the wave in the 2018 midterm elections. Potential voter fraud in the elections has not been taken into account in the predictions.
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