Most trust-related friction is temporary. It appears, fades, and leaves no trace. Occasionally, though, trust behaves differently. It doesn’t fluctuate — it degrades. Understanding that distinction prevents confusion and unnecessary panic. How normal trust fluctuation behaves Routine fluctuation tends to be: Confidence dips, then rebuilds. That’s recalibration. How trust degradation behaves differently When trust degrades, … Read more
Risk systems are designed to be cautious. That caution inevitably produces false positives. In other words, sometimes the system misreads harmless behaviour as risky. This isn’t a failure of intelligence — it’s a trade-off. Risk systems optimise for safety, not fairness From a system’s perspective: So systems are tuned to err on the side of … Read more
When something goes wrong, people focus on the most recent action. Systems don’t. They look at history. One action rarely changes anything on its own. Systems evaluate sequences, not moments Individual actions are noisy. History smooths that noise. Systems care more about: A single unusual action doesn’t define an account. A sequence does. Why familiar … Read more
People often assume trust is something an account either has or doesn’t have. In reality, trust is earned slowly and maintained continuously. There is no moment where a system decides: “This account is now trusted forever.” ⸻ Trust is an ongoing estimate Trust isn’t stored as a badge or status. It’s an estimate that updates … Read more
Online accounts don’t rely on single moments. They rely on history. Every interaction slowly contributes to a picture of what looks normal for that account. That picture shapes nearly everything that follows. “Normal” is not a fixed rule There is no universal definition of normal behaviour. Instead, each account develops its own baseline. That baseline … Read more