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What you see is not a direct recording of reality. The human brain constantly interprets light, depth, and context, filling gaps with assumptions to make sense of the world. Optical illusions like the Müller-Lyer and Jastrow effects reveal how identical shapes can appear different simply because surrounding cues change. Why it matters: perception is an inference engine, not a camera, and understanding its limits is critical for design, safety systems, and human-machine interfaces. Follow for dai
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If you want sharper reasoning than 95% of people, read these: 📘 1️⃣ The Power of Logic by Daniel Howard-Snyder — Precision in argument, inference, and assumption testing. “Common sense” often isn’t logical at all. 📗 2️⃣ An Introduction to Non-Classical Logic by Graham Priest — A difficult but powerful exploration of fuzzy logic, paraconsistent logic, and systems that challenge classical assumptions. 📕 3️⃣ Introduction to Phenomenology by Robert Sokolowski — What if formal logic doesn’t captur
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Bayesian inference is the process by which your brain continuously updates its predictions about the world based on new information. The brain doesn’t just passively receive sensory input, it makes a best guess about what’s happening based on prior experience and then updates that guess when new information comes in. In the context of foam rolling the prior is “this area is stiff and uncomfortable.” The new sensory input is the novel sensation from the roller. The expectation that it will help i
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