Ultimately, we all have a professional and ethical responsibility for the consequences of our work. For statistical forecasters, I think this means, among other things, a responsibility to be honest about the limitations, and to attend to the uses, of the forecasts we produce. The fact that we use mathematical equations to generate our forecasts and we can quantify our uncertainty doesn’t always mean that our forecasts are more accurate or more precise than what pundits offer, and it’s incumbent on us to convey those limitations. It’s easy to model things. It’s hard to model them well, and sometimes hard to spot the difference. We need to try to recognize which of those worlds we’re in and to communicate our conclusions about those aspects of our work along with our forecasts. (N.B. It would be nice if more pundits tried to abide by this rule as well. Alas, as Phil Tetlock points out in Expert Political Judgment, the market for this kind of information rewards other things.)
However, he takes issue with Salehyan’s claim that forecasters somehow get more attention from policy makers:
In my experience and the experience of every policy veteran with whom I’ve ever spoken about the subject, Salehyan’s conjecture that “statistical forecasts are likely to carry greater weight in the policy community” is flat wrong. In many ways, the intellectual culture within the U.S. intelligence and policy communities mirrors the intellectual culture of the larger society from which their members are drawn. If you want to know how those communities react to statistical forecasts of the things they care about, just take a look at the public discussion around Nate Silver’s election forecasts. The fact that statistical forecasts aren’t blithely and blindly accepted doesn’t absolve statistical forecasters of responsibility for their work. Ethically speaking, though, it matters that we’re nowhere close to the world Salehyan imagines in which the layers of deliberation disappear and a single statistical forecast drives a specific foreign policy decision.
He concludes that:
Look, these decisions are going to be made whether or not we produce statistical forecasts, and when they are made, they will be informed by many things, of which forecasts—statistical or otherwise—will be only one. That doesn’t relieve the forecaster of ethical responsibility for the potential consequences of his or her work. It just means that the forecaster doesn’t have a unique obligation in this regard. In fact, if anything, I would think we have an ethical obligation to help make those forecasts as accurate as we can in order to reduce as much as we can the uncertainty about this one small piece of the decision process. It’s a policymaker’s job to confront these kinds of decisions, and their choices are going to be informed by expectations about the probability of various alternative futures. Given that fact, wouldn’t we rather those expectations be as well informed as possible? I sure think so, and I’m not the only one.
The full post is available here.