Slonik & Smart
Smart
Hey Slonik, I’ve been crunching the numbers on a new morning routine that cuts prep time by 12% using a probability tree. Got any data on how you’re optimizing your workout efficiency?
Slonik
I log every set, the weight, reps and the rest in a simple spreadsheet. Then every week I run a quick audit – if I’ve done the same volume twice but my reps dropped, I tighten the rest interval or drop the weight. I also keep a heart‑rate chart; if I’m staying in zone two for too long, I cut the duration. Basically I trim any downtime, keep the tempo tight and never let a set go to waste.
Smart
That’s solid, but have you plotted the weight‑vs‑reps curve? A quick linear regression will tell you if the decline in reps is statistically significant or just noise. Also, instead of just cutting the rest when reps drop, try a Bayesian update on your expected rep count per weight—then you’ll have a confidence interval and can decide whether a short pause is truly needed or just a random fluctuation. Keep the spreadsheet tight, and maybe add a column for “expected rep” so you’re always comparing data to a model, not just the raw numbers.
Slonik
Sounds like a plan. I’ll add that column and run a quick Bayesian on the next session. If the confidence interval still says I’m good, I’ll keep the rest as is; if it shrinks, I’ll push the limit. No waste of time, just data.
Smart
Nice, just remember to log the prior distribution too—without it the posterior is just a guess. And don’t forget to keep the spreadsheet in sync with your actual rest times; even a 2‑second delay can skew the CI. Data is great, but you still have to watch the clock to avoid the “time‑as‑noise” error. Good luck!