Cohen endures cross-examination under the eyes of Trump's entourage - The Boston Globe

Contributing sentiments towards policy:

53% : "Client says thank you for what you do," the text message read, appearing to refer to Trump.
51% : To underscore the idea that Trump approved of Cohen's conduct, she produced a text message from one of Trump's lawyers, who expressed appreciation for Cohen's telling the media -- he now says falsely -- that he had paid off Daniels on his own initiative.
50% : He said it would be better if Trump escaped unscathed, because "it gives me more to talk about in the future.
49% : Trump, who faces probation or up to four years in prison, is charged with 34 felony counts of falsifying business records, one for each document related to his reimbursement of Cohen in 2017: 11 checks to Cohen (most of which Trump signed), 11 invoices submitted by Cohen, and 12 entries in Trump's ledger.
39% : There was also a legal adviser to Trump who is under indictment in Arizona, Boris Epshteyn.
33% : Cohen's $130,000 payment on the eve of the 2016 presidential election silenced her account of a sexual rendezvous with Trump that had threatened to derail his campaign.
31% : He bluntly replied: "No."Hoffinger also asked Cohen to assess the impact of his falling-out with Trump, who had been the focus of his existence for years.
28% : There was Bernard Kerik, the former New York police commissioner whom Trump pardoned for federal felony charges.
28% : They swept into the courtroom to back up Trump as his face-off with his former fixer and current nemesis continued.
27% : Blanche also emphasized how much money Cohen has reaped from his attacks on his former boss and mentor, Trump, suggesting that his testimony was motivated by greed, not truth-telling.
18% : He illustrated much of the prosecution's case as no one else could, harmonizing disparate facts to portray Trump as a criminal.
18% : Hoffinger also returned to the records that the prosecution says Trump faked to conceal the hush-money deal.

*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.