Quads grew 0.5 cm, squat 1RM up 5%, but knees feel slightly achy.
[ P(H|D) = \fracP(DP(D) ]
Let’s say your (based on science) is that 12–20 weekly sets for quads has a 70% chance of producing measurable growth in 4 weeks. bayesian bodybuilding pt course pdf
Your body is the model. Train it Bayesian. Quads grew 0
You run a 4-week experiment: 16 sets/week. Train it Bayesian
These statements treat training variables as fixed truths. But human physiology is not deterministic—it is probabilistic. Your response to protein intake, volume, or sleep varies based on genetics, fatigue, and a thousand hidden variables. Bayesian inference is a method of statistical reasoning where you start with a prior belief (an assumption based on existing evidence), observe new data (your workout results), and update to form a posterior belief (a refined strategy).