The House is designed to reflect public opinion, and this can shift quickly — as we have seen throughout the past two centuries, and under Presidents Clinton, George W. Bush and Obama.
Future historians will trace the unwinding of Trump’s presidency back to a speech at Gettysburg on Oct. 22, in which the candidate made some very specific commitments (watch from the 16-minute mark in this video). Specifically, President-elect Trump faces three serious problems rooted in the way political realities — Republican control of Congress — will force him to govern.
First, Trump will not deliver on what he has promised because he can’t.
His first Gettysburg promise was to “propose a constitutional amendment to impose term limits on all members of Congress” — and there were great cheers in the crowd when he said this. Last Wednesday, Senate Majority Leader Mitch McConnell said term limits will not happen (“We have term limits now; they’re called elections”). There is no way the president can force the Senate Majority Leader (or the Speaker of the House) to bring legislation to the floor. Check the Constitution on that.
Political polarization in the U.S. is at its highest level in decades. This isn’t surprising, especially in the wake of the recent presidential election.
It’s hard to go on social media, much less cable news these days and not see reports that support one political side and vilify the other. Is there any hope for bringing the country closer together? We think so.
In a recent study, we found that the way information is presented can influence political polarization. When it is presented in a way that engages people in an objective analysis of the information at hand, political polarization can decrease. Yet when the same information provokes people to think about their relevant political preferences, people remain polarized.
In other words, people might moderate their views when they have more information on how a contentious policy works, but not if they’re busy thinking about what they want or why they want it.
Sharon Pian Chan, Executive MBA Student at MIT Sloan
From Art + marketing
The presidential election exposed deep divisions in the country, among our families, friends, in the workplace and in the classroom.
Buzzfeed’s recent findings about the power of fake news is particularly troubling. The 20-most read fake stories got more traffic than the top 20 stories reported by credible news organizations that verify facts and validate stories.
In fact, people writing fake news are making more money than journalists committed to reporting the truth, according to Seattle Times columnist Danny Westneat, who talked to a fake news site in Seattle called Bipartisan Report.
Fake news sent a man with an assault rifle to a pizza shop in Washington, D.C., searching for a fictional child sex ring connected to Hillary Clinton. (Check out The Washington Post’s story.)
What are the forces behind the creation and, let’s face it, widespread consumption of lies?
As a US presidential candidate, Donald Trump made keeping manufacturing jobs in the country a key economic issue. He promised to bring back jobs from China, Mexico, Japan, and elsewhere; he pledged to force companies from Ford to Apple to Nabisco to open or re-open factories on American shores; and he vowed to revive the coal and steelmaking industries. His promise to create industrial jobs was key to his electoral victory.
Still, many were—and remain—deeply skeptical of Trump’s plans. Mark Cuban, internet entrepreneur and frequent thorn in the side of the president, says that bringing back manufacturing will backfire and lead to overall job losses. Instead, he says, the US ought to invest in robotics to compete with China. “We have to win the robotics race,” he says. “We are not even close right now.” (For what it’s worth, Trump’s labor secretary Steven Mnuchin recently disagreed, saying robots aren’t even “on my radar screen.”)
Cuban is on the right track, but the fact is that it’s too late to go head-to-head with China on building robots alone. We can’t compete with China’s robot revolution. But we can complement it.
We hope you enjoy the latest installment of the MIT Sloan Experts Podcast series!
The third in our series of MIT Sloan Experts podcasts features Chris Knittel, professor of applied economics at MIT Sloan, talking about his latest research on racial bias in the ride-sharing industry.
Knittel’s research focuses on how Uber and Lyft are failing black passengers and what to do about it. Listen to this brief podcast and find out how Knittel came to his conclusions, what his findings say about drivers who cancel on customers with names that generally indicate they are a person of color, and what takeaways Uber and Lyft can garner from these findings to improve.