NYC truck terror attacker spared death penalty as jury can't come to unanimous decision

Contributing sentiments towards policy:

51% : Meanwhile, defense attorney David Patton told jurors they face "an awesome responsibility and power" and should spare Saipov the death penalty and let him "die in obscurity, not as a hero, not as a martyr.""It is not necessary to kill Sayfullo Saipov, not for our safety or anyone else's and not to do justice," Patton said.
45% : Minutes after starting their deliberations on March 8, jurors sent a note to the judge asking if they could discuss that the current method of execution for federal inmates is lethal injection.
42% : They also asked if they could mention the current moratorium on execution by Attorney General Merrick Garland.
41% : Nine of the 28 counts he was convicted of carry the possibility of the death penalty.
40% : The last time the death penalty was carried out in a New York federal case was in 1953 when husband and wife Julius and Ethel Rosenberg were executed after being convicted of conspiracy to commit espionage for the Soviet Union during the Cold War.
39% :Garland announced a moratorium on executions in September 2021 so officials could review policies and procedures though has upheld decisions of the prior administration to pursue the death penalty for Saipov, Charleston church shooter Dylann Roof and Boston Marathon bomber Dzhokhar Tsarnaev.
38% : During closing arguments last week, Assistant U.S. Attorney Amanda Houle told the jury that Saipov deserved the death penalty for his "unremorseful slaughter of innocent civilians.""Murder is always terrible but when the defendant made the choice to murder multiple people he exposed himself to a harsher punishment," Houle said.
36% : A jury has spared Sayfullo Saipov the death penalty after it was unable to come to a unanimous decision Monday in the penalty phase deliberations for a Halloween 2017 terror attack in New York City that killed eight people.

*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.