READING THE TEA LEAVES: Amazon and Bezos Appear to Predict Who Will Win Presidency

Contributing sentiments towards policy:

64% : On Oct. 28, Polymarket showed a 66 percent chance that Trump will become the nation's 47th president but gave Harris only a 34 percent chance of that honor (unless Biden leaves office before Inauguration Day).PredictIt also heavily favored Trump on Oct. 28, forcing users to put down 60 cents on the former president if they wished to bet on his return to office.
49% : The Post Editorial Board even tried to put its CEO on blast: "'The message from our chief executive, Will Lewis -- not from the Editorial Board itself -- makes us concerned that management interfered with the work of our members in Editorial.'"Schneider wasn't the only one to allude to Bezos possibly genuflecting to Trump.
47% : After searching for "election party decorations" and "election party favors" on Amazon, MRC researchers uncovered that 57% of partisan election party decorations and 61% of partisan election party favors were Trump or Republican-themed on Oct. 25.
45% : Whether the reason for Bezos unplugging himself from the leftist matrix is a genuine red-pilling or just that he got the heebie-jeebies that Trump could be in the White House again is unimportant.
40% : MRC Free Speech America Vice President Schneider suggested that Bezos simply saw how the Biden-Harris administration discriminated and punished his competitor, X owner Elon Musk, and is scrambling to show Trump that the Post can function like a news outlet once again.
21% : "Suddenly, Elon Musk is being fined, investigated, probed for what he has potentially done, the entire power of the Harris-Biden police state has come down on his head and the second wealthiest man on the planet [Bezos] is thinking 'well could Trump do that to me, too?'"Schneider went on to explain that Bezos believes that Trump will win and incorrectly fears that Trump would take the same "fascistic" approach that Biden and Harris have embraced.

*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.