Bad thinking spreads—between people, between humans and AI, and in self‑reinforcing loops. This essay introduces cognitive contagion, the proposed β_NPF coefficient, and then presents practical defences: the Binary Belief Protocol, Proportional Scrutiny Matrix, and three mechanisms (prebunking, cross‑training, dopamine rechanneling). All are offered as hypotheses to try.

Epistemological scepticism can act as cognitive immunisation against the Neural Pathway Fallacy. This paper presents protective interventions: Binary Belief Protocol, Proportional Scrutiny Matrix, and three mechanisms (prebunking, neural cross‑training, dopamine rechanneling). It maps each to NPF factors and CNI, summarises efficacy data from independent studies, and sketches a minimal trial design. All claims are hypotheses; no NPF‑specific validation is claimed.

A photograph stops you. A video feels real. A voice is unmistakable. But none of it happened. This chapter applies the full epistemological toolkit to the synthetic world—AI-generated content, deepfakes, algorithmic amplification, and institutional collapse. Learn how to update your Null Hypothesis, recalibrate your evidence ladder, and practice proportional scrutiny when seeing is no longer believing.

Confidence is not just a feeling—it can be trained. This chapter introduces confidence as a gradient, calibration as a practice, proportional scrutiny, and an informal evidence ladder. Learn to ask: How confident am I, really? And is that enough for what's at stake?