Trump Plummets in Election Betting Odds After Shock Poll Shows Him Losing Iowa to Harris
- Bias Rating
-16% Somewhat Liberal
- Reliability
50% ReliableFair
- Policy Leaning
-26% Somewhat Liberal
- Politician Portrayal
27% Positive
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
8% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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Contributing sentiments towards policy:
73% : "It won't put Harris ahead in our forecast because there was also another Iowa poll out today that was good for Trump.54% : "Selzer's stature -- coupled with the prevailing wisdom that Iowa, which he carried in 2016 and 2020, should be a safe state for Trump -- was enough to send betting markets, which have largely favored Trump, into a frenzied correction.
54% : Kalshi's betting market gave Trump a sizeable 64 percent chance of winning as recently as Wednesday.
50% : Meanwhile, Election Betting Odds -- a site that tracks and analyzes election prediction markets Kalshi, Polymarket, and PredictIt along with Betfair, and Smarkets -- gave Trump a 52 percent chance of winning the electoral college Sunday, down 4.4 percent in the last day.
44% : Kalshi gave Trump a 55 percent chance of winning on Saturday, but that had fallen to 50 percent early Sunday morning in a dead heat with Harris.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.