math.ST math.ST

A meteorologist stares at a pressure map, trying to figure out where the cyclone will go. They have a model, but it is flawed, and fresh measurements, but they are incomplete. Merging the two so that the forecast remains physically meaningful is harder than it seems: classical methods sometimes produce negative temperatures or impossible probabilities.

Two specialists look at the same breast image. One is an experienced doctor, the other is an artificial intelligence program. Sometimes their opinions match, sometimes they diverge. How often they agree determines how accurately they can together distinguish healthy tissue from a tumor.

Two particles behave like a pair of unusual dice: thrown at opposite ends of the universe, they always land on the same face. Physicist John Stewart Bell calculated: if the dice had hidden rules, the frequency of matches would have a strict limit.

A lab robot counts molecules, and gets it wrong. One tube shows 0, another 12, a third 3, though in reality they all hold roughly the same amount. Such 'raw' numbers are common in biology: DNA sequencing, counting species in a water sample, gene activity. There's plenty of data, but it's sparse and more scattered than simple randomness would predict.

If a smell seeps into a room through a slightly open door, you could stand in the middle and sniff. But the most accurate way to catch the moment the smell arrives is to stand right at the threshold. A cell behaves much the same way when it needs to measure the concentration of a substance around it.

A jazz trio plays in the dim light of a club. The pianist leads the melody, the bassist holds the rhythm, and the drummer sprinkles out rolls. If you listen only to pairs of musicians, you can catch how the pianist adjusts to the bass or the bass to the drums.