Rich heiress Allie McClean heads for a weekend at her isolated family home in the middle of no man's land, only to find that the caretaker, Ben, is a homicidal maniac who's under instructions from her father to kill her and all her guests.
In the near future, when communications go offline at a remote nuclear power plant isolated in the desert, a young safety inspector, Abby Dixon, is forced to fly out to bring them back online. Once inside the facility, mysterious clues and strange behaviors cause Abby to have doubts about the sanity, and perhaps identities, of the two employees onsite.
Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and “big data,” the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, “Prediction by the Numbers” explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don’t understand how they arrive at them? And how far ahead can we really forecast?
