AI vs The Question of Time: What Dating Methods Measure, What They Assume, and Why the Clocks Disagree is a careful, evidence-driven exploration of one of the most debated questions in science and apologetics: How confidently can we reconstruct the deep past from present-day measurements? Rather than attacking science or dismissing radiometric dating, this book examines the critical distinction between what dating methods directly measure today and what they infer about events no human ever observed.
The book walks readers through the major dating systems used in geology and archaeology-including radiocarbon (^14C), Potassium-Argon, Argon-Argon, Uranium-Lead, Re-Os, and Sm-Nd-explaining the physics behind each method, the assumptions required for age calculations, and the known mechanisms that can influence results over long periods of time.
A major focus is the difference between precision and certainty. Modern laboratory instruments can measure isotopic ratios with extraordinary accuracy, yet translating those measurements into ages millions or billions of years old requires assumptions about initial conditions, closed systems, and uninterrupted decay behavior. The farther scientists extrapolate into the unobserved past, the more important those assumptions become.
The book also investigates intriguing patterns in real-world data-particularly the repeated detection of measurable radiocarbon in materials traditionally assigned ages far beyond the effective range of carbon dating, such as coal and diamonds. Rather than forcing a predetermined conclusion, the book examines competing explanations, evaluates strengths and weaknesses on all sides, and asks whether these patterns are best explained by contamination, background effects, methodological limitations, or something more foundational about historical reconstruction itself.
Throughout the work, the emphasis remains on intellectual humility, transparency, and evidence evaluation. The book does not claim to "disprove" conventional chronology, nor does it insist on a single alternative timeline. Instead, it challenges readers to think critically about how scientific models are constructed, how assumptions shape conclusions, and why confidence should always be proportional to the strength of the observable evidence.
Blending scientific discussion, philosophical reflection, and apologetic relevance, AI vs The Question of Time invites readers from every perspective to reconsider what dating methods truly measure, why the clocks sometimes disagree, and where the boundaries between observation, inference, and certainty ultimately lie.
