The Season of Savagery and Hope

by Ali Minai

April 2018: ‘Tis the Season of Giddiness in Democratlandia. Republicans are saddled with a widely despised President and riven by internal dissension. The Republican leadership in Congress is lurching from fiasco to fiasco – interrupted briefly by one great “success” on tax cuts. The zombie candidates of the Tea Party are still stalking establishment Republicans across the land. And, somewhere in his formidable fastness, the Great Dragon Mueller is winding up for the fiery breath that will consume the world of Trumpism like a paper lantern. And a Blue Wave – nay, a Tsunami – is headed towards the Republicans in Congress, looking to engulf them in November.

Time passes, and it is October. Anguish is all around. After snatching children from their parents and imprisoning them in cages, after giving a wet kiss to Kim Jong Un and worse to Putin, after having his former campaign manager convicted of crimes and his fixer plead guilty, after a virtual torrent of lies, after reports of a still devastated Puerto Rico and newly devastated Carolinas and Florida – after all this and more, Trump is more popular than ever in his presidency, Brett Kavanaugh is on the Supreme Court, and the Blue Wave is beginning to look more like an eddy. To be sure, Trump is still spectacularly unpopular compared to past presidents, with disapproval numbers at 50% of higher, but he seems to be rising. Rising! The very word is like a knell of doom. As Trump himself might say, “What the hell is going on?”

First of all, probably an over-reaction. A large part of US electoral outcomes can be ascribed to structural factors, such as the fact that 26 of the 50 states have conservative majority populations. Yes, these 26 states may add up to only 47% of the US population, but they elect 54% of the US Senate, and that cannot change. The number of reliably liberal states is much smaller – only 16 – and, though they account for 42% of the population, they only elect 32% of the Senate. The remaining 8 states – comprising 11% of the population – swing with the season, but supply 16% of the Senate. Thus, Democrats start off with a huge disadvantage in the Senate even in the best of times. Demographic forces will gradually change this situation, but slowly. Meanwhile, Democrats, as the liberal party, will always be facing the bitter choice of either accepting conservative senators in their own ranks or remaining a permanent minority in the Senate. Four decades of asymmetric political warfare has also left Republicans in control of most state houses, which they have used to gerrymander districts and pass laws to disenfranchise Democratic voters. That too is hard to change because these factors are custom-designed to perpetuate Republican majorities. But all is not lost for Democrats here. Read more »

Data Science and 2016 Presidential Elections

by Muhammad Aurangzeb Ahmad

Uselec

Much has already been written about the failure of data science in predicting the outcome of the 2016 US election but it is always good to revisit cautionary tales. The overwhelming majority of the folks who work in election prediction including big names like New York Times' Upshot, Nate Silver's FiveThirtyEight and Princeton Election Consortium predicted Clinton's chance of winning being more than 70 percent. This is of course not what happened and Donald Trump is the president elect. And so on the night of November 9th people started asking if there was something wrong with Data Science itself. The Republican strategist Mike Murphy went as far as to state, “Tonight, data died.” My brush with election analytics came in in late 2015 when I was looking for a new job and talked to folks in both the Republican and the Democratic Data Science teams about prospective roles but decided to pursue a different career path. However this experience forced me to think about the role of data driven decision in campaigning and politics. While data is certainly not dead, Mike Murphy observation does lay bare the fact that those interpreting the data are all too human. The overwhelming majority of the modelers and pollsters had implicit biases regarding the likelihood of a Trump victory. One does not even have to torture the data to make it confess, one can ask the data the wrong questions to make it answer what you want to hear.

We should look towards the outcome and modeling approaches for the 2016 US presidential elections as learning experiences for data science as well as acknowledging it as a very human enterprise. In addition understand what led to selectively choosing the data and to understand why the models did not as well as they should have, it would help us to unpack some of the assumptions that go in creating these models in the first place. The first thing that comes to mind is systematic errors and sampling bias which was one of the factors that results in incorrect predictions, a lesson that pollsters should have learned after the Dewey vs. Truman fiasco. That said, there were indeed some discussions about the unreliability of the pollster data run up to the election. Although the dissenting voice rarely made it to the mainstream data. Obtaining representative samples of the population can be extremely hard.

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The Dangerous Discounting of Donald Trump

by Ali Minai

DJT_Headshot_V2By this point in US Election 2016, everyone acknowledges that the Presidential candidacy of Donald Trump is one of the most transformative phenomena to arise in American society in a long time – possibly since the Civil Rights Movement in the 1960s, of which it is, in some ways, a perverted mirror image. However, it's ludicrous and perverse aspects should not blind anyone – including its adherents – to its corrosive but real power. Those who had until recently discounted Trump are gradually beginning to realize this, and mockery is being replaced with a mixture of fear and perplexity.

Foremost among the perplexed are the American elites and the chattering classes, who have tended to treat the candidacy of Donald Trump for President as a running farce. His frequently offensive and ignorant statements – usually via twitter – have become a staple of late-night comedy, and the cause for general derision in the news media. A surge in the polls after the Republican convention triggered a temporary bout of concern that he might actually win, but that concern receded as a very successful Democratic convention and Trump's disparaging of the Khan family boosted Hillary Clinton to a double digit national lead. A narrative settled in that Trump was finished, even as Clinton's lead has gradually declined, and now stands in the 2-4 percent range. While this has triggered a new round of anguish among Democrats, it has not yet completely changed the overall notion that, surely, the American people will not vote for someone as patently unqualified and irresponsible as Trump. The American people themselves have bolstered this assumption, with poll after poll showing that large majorities of voters consider Clinton more qualified and temperamentally suited to be President. A recent survey showed that nearly half of voters – including 22% of Trump supporters! – believe that he will use a nuclear weapon. Yet, what is often left unexplained is why the same polls typically show the head-to-head race between Trump and Clinton as very close. The implicit belief seems to be that voters will eventually come to their senses. In fact, this discrepancy should indicate exactly the opposite: That a certain chunk of voters have looked at both candidates, realized that Trump is unqualified to be President, but are nevertheless willing to vote for him. These voters have apparently considered and rejected rational arguments against Trump, suggesting that no further rational argument is likely to sway them. The same is true for the issues of bigotry and racism that are clearly relevant with regard to Trump. Most Clinton-supporters and the elite media have assumed that, once Trump's long history of bigotry against minorities and women became well-known, it would be impossible for him to win. The initial response to the Khan controversy reinforced this view. However, recent polling data suggests that this notion is not altogether justified either. As with competence, there is a segment of voters who know about Trump's bigotry, do not agree with it, but are still willing to overlook it. This segment is not necessarily identical with the one willing to overlook his incompetence, but there is probably considerable overlap. In any case, it appears that counting on the good sense of American voters to protect the world from Trump may be too optimistic.

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