US Supreme Court Bans Consideration of Race in College Admissions - Iowa Starting Line

Contributing sentiments towards policy:

60% : But "students first need to be qualified applicants," he added, just as they had to be under affirmative action.
57% : In 1978, the Court ruled that affirmative action was lawful, which it later upheld in 2003 and 2016.
56% : The impact of affirmative action has been significant.
50% : A year earlier, at the University of Michigan's main campus in Ann Arbor, only 4% of more than 32,000 undergraduate students were Black, a decline from 7% in 2006, back when affirmative action was in use.
50% : In a dissent to the conservative decision, Justice Sonia Sotomayor -- who has previously said affirmative action opened the door for her to attend Princeton University and Yale Law School -- wrote that Thursday's ruling "rolls back decades of precedent and momentous progress.""Today, the Court concludes that indifference to race is the only constitutionally permissible means to achieve racial equality in college admissions," Sotomayor wrote.
46% : However, contrary to what critics have said, affirmative action did not automatically grant students of color admission to universities or colleges.
43% : The experiences of the University of Michigan and the University of California, which were forced to stop using affirmative action in admissions 15 years ago, are also instructive.
42% : However, he also warned that his (bizarre and confusing) carveout did not mean application essays could be used as a workaround to the ban on affirmative action.
40% : Conservatives have argued for decades that affirmative action hurts white and Asian-American students.
38% : The US Supreme Court on Thursday struck down affirmative action in college admissions, ruling that consideration of race during the admissions process is unconstitutional.
37% : The loss of affirmative action could make things worse, with one study finding that the likelihood of admission to highly selective public colleges could decline by 23%.

*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.