#probabilistic-thinking

Redirecting Commercial Prediction Engines Toward Public Good

Commercial gambling platforms operate some of the most sophisticated real‑time prediction engines in the world. These systems continuously…

你設計的 AI 介面，正在對用戶說謊

Estimating the Unknowable: A Better Approach to Software Timelines

Move beyond story points to probabilistic forecasting and confidence-based estimation.

Beyond the Spreadsheet: Managing Risk in a World of Autonomous Agents

Boardrooms are now relying on a risky fiction: the static risk report. For years, we treated market risk like a fixed map, believing…

Day 4：Probabilistic Thinking (機率思考)

Inductive Reasoning

While deductive reasoning is what Sherlock Holmes usually uses as a term for his methods of inquiry. Inductive reasoning is what he…

When “Because” Isn't a Comfortable Answer

The uneasy shift from deterministic logic to probabilistic AI

Bayesian Neural Networks: Uncertainty Meets Deep Learning

Neural networks have taken over the world — from voice assistants to cancer diagnostics. But there’s one thing they still struggle with…

Probabilistic to Deterministic and back to Probabilistic (or Analog to Digital and back to Analog)

The events in this world can be probabilistic or deterministic. In many cases, the event is probabilistic, i.e., there is probability…

Beyond the Guesswork: Why Flow Metrics and Monte Carlo Simulations Outperform Traditional…

Move beyond guesswork! Learn how flow metrics & Monte Carlo simulations offer data-driven planning, adaptability, and realistic forecasts.

Cause-and-Effect Relationship (Causality)

Cause-and-Effect Relationship (Causality)