The Gettier Problem: Why True Belief Is Not Enough
A Short History of Knowledge's Most Famous Counterexample

About this book:

For over two millennia, the definition of knowledge seemed settled: a justified true belief. It was the bedrock of Western thought, unshaken from Plato’s Academy to the modern university—until a three-page paper in 1963 shattered the consensus overnight. In *The Gettier Problem*, you’ll witness the intellectual earthquake triggered by Edmund Gettier’s devastatingly simple thought experiments, proving that you can be right for all the right reasons and still fail to know. From the coins in a job applicant’s pocket to the fake barns dotting a countryside drive, this book unpacks the paradox that turned epistemology upside down and sparked a fifty-year obsession with the nature of epistemic luck.

Journey through the frantic, brilliant scramble to repair the definition of knowledge. Watch giants like Goldman, Nozick, Sosa, and Williamson propose, defend, and abandon theories ranging from causal chains and reliability tracking to virtue epistemology and the radical "knowledge-first" revolution. You’ll explore why every attempted patch—ruling out false premises, demanding sensitivity, requiring safety—seems to spring a new leak, and why the elusive "fourth condition" remains philosophy’s most wanted quarry.

But this isn't just history; it’s a survival guide for the information age. As algorithms curate our reality, deepfakes blur truth, and AI systems "hallucinate" facts with confident fluency, the Gettier problem has migrated from the seminar room to the server farm. The final chapters bridge the gap to cognitive science and machine learning, asking the urgent modern question: Can an algorithm suffer from Gettier problems? If you want to understand the fragile boundary between genuine understanding and a lucky guess—in human minds or artificial ones—this is the essential map.