Trump won by uniting those who think liberal rulers have gone too far

Contributing sentiments towards policy:

59% : Gathered around Trump at the moment is a cluster of individuals who are bright, energetic, invariably interesting, but who have significant differences with him and among themselves -- people like Musk, Gabbard, Vivek Ramaswamy, Robert Kennedy Jr., even his vice president,choice, J.D. Vance.
49% : Electing Trump was the public's way of inviting the institutions to resume contact with reality.
49% : Trump breezed through three hours without as much as a bathroom break.
42% : Will Trump be able to convert his movement, with all its conflicting obsessions and factions, into real political change?
40% : By bringing them into his movement, Trump has taken in hand many of the disparate threads of revolt in this country.
38% : He would eventually endorse Trump.
34% : Some individuals, like Trump, were entirely silenced on social media, even as millions of posts by ordinary Americans were taken down on the orders of the Biden White House and the FBI.
33% : The intent was to cage an unruly public that, in 2016, had propelled Trump to the White House.
33% : Government censorship was imposed over digital media, first on those who disagreed with the official doctrines about COVID-19, then on Trump and his allies and supporters, finally on any opinion -- for example, on the Ukraine war -- that the ruling elites found offensive.
31% : Trump was indicted 116 times, convicted once, and fined $454 million, all in Democratic-friendly jurisdictions.
31% : I first saw Trump as a loudmouth who had accidentally connected with the public's mood in 2016, lost his cool in a big way in 2020 and was destined to be overtaken by a more articulate anti-establishment figure like Florida Gov. Ron DeSantis.
29% : Was Trump the moral equivalent of Hitler?
12% : When that story fell apart after the disastrous debate with Trump, Biden was simply swapped out for Harris, who hadn't earned a single vote in the Democratic primaries.

*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.