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!
Slonik
Got it, I’ll put the prior in there and lock the timer to the spreadsheet. If it’s a two‑second slip, I’ll just drop the set and start fresh. Thanks for the reminder, I’ll keep the noise low and the data clean.
Smart
Sounds efficient—just remember to record the “drop reason” too so you can model its impact on future runs. That way the next Bayesian update will account for the extra variance from dropping sets. Keep the noise low!