Is Algorithmic Asymmetry Reshaping How We Think?
Algorithms are growing more powerful by the year. What they measure is a ghost of a pattern that once looked like someone statistically adjacent to you and me. The gap between past and present is costing us more than we notice. Machines that never met you Imagine you are standing on one side of a traditional scale. On the other side: a machine that has never met you, never been hungry, never buried anyone, never changed its mind at three in the morning. The machine nonetheless decides, in milliseconds, whether you are creditworthy, whether your job application clears a filter, whether your medical scan warrants a specialist’s attention, whether you are shown the news story that confirms your fears or the one that complicates them. That machine is running on an algorithm. And that algorithm, almost certainly, knows far more about the average person in its training data than it knows about you, specifically, today. This is algorithmic asymmetry—a structural condition of contemporary life that reaches everyone: the 22-year-old applying for a first apartment, the …








