Norbert Wiener, the mathematician who founded cybernetics in the 1940s, made a claim that still cuts: the purpose of information is not to transmit data but to reduce surprise. A message that tells you something you already knew contains zero information, in the strict technical sense. This sounds like a curiosity from signal theory — but it reframes something financial IT professionals navigate daily. Most dashboards, reports, and data feeds are engineered to confirm what the business already believes is happening. The genuinely informative signal — the anomaly, the outlier, the metric that breaks the expected pattern — tends to get smoothed, aggregated, or filed under 'noise.' Wiener's insight, taken seriously, suggests that the architecture of your information systems is also an architecture of what surprises are allowed to reach a decision-maker. The question isn't whether your pipelines are clean. It's whether they are calibrated to transmit the unexpected, or calibrated to protect the expected from challenge.

In the last week, what anomalous signal in your data or reporting did you or your team resolve by adjusting the threshold rather than investigating the cause?

Drawing from Cybernetics / Information Theory — Norbert Wiener (The Human Use of Human Beings: Cybernetics and Society, 1950, and Cybernetics: Or Control and Communication in the Animal and the Machine, 1948)