Correlations

Pearson analysis across your health metrics

What This Means updated 9/18/2026

The most actionable finding is the HRV-to-volume relationship: nights where your HRV comes in higher are followed by meaningfully more training volume the next day (r=0.221), which likely reflects a real two-way street — you train harder when you're recovered, and that recovered state shows up in your numbers the night before. This isn't a green-light system to manufacture, but it does suggest that on mornings after a notably strong HRV night for you (think upper end of your 18-24ms range, so 22ms+), leaning into the session rather than holding back is supported by your own data. The step-to-body-battery drain is the other clear signal: higher step days reliably predict a lower end-of-day body battery both same-day (r=-0.368, your strongest correlation) and a week later (r=-0.184), meaning accumulated daily movement has a real cumulative cost that shows up even seven days out — worth keeping in mind as your butcher work ramps up or on days you're already carrying session fatigue. The deep sleep finding is a pleasant surprise — more deep sleep predicts higher step counts a week later (r=0.127), suggesting that quality sleep is quietly setting the floor for how physically capable and active you are in the days ahead, not just how you feel the next morning. The honest caveat is that with 40 tests run and only 8 surviving FDR correction, you're working with real but modest effect sizes — the strongest correlation here (r=-0.368) explains roughly 14% of body battery variance, so these are tendencies, not rules, and confounders like session intensity, nutrition timing, and workload spikes aren't controlled for.

Significant Correlations 8

Higher step days strongly predict lower end-of-day body battery.

r = -0.36 Moderate
Same day n = 575 body_battery_eod × steps
p = 0.0000

Higher HRV nights precede higher training volume.

r = 0.22 Weak
1-day lag n = 150 hrv_nightly_avg × hevy_total_volume_lbs
p = 0.0380

Higher step days strongly predict lower end-of-day body battery.

r = -0.18 Weak
7-day lag n = 550 body_battery_eod × steps
p = 0.0005

Higher HRV correlates with lower average stress.

r = -0.17 Weak
7-day lag n = 516 hrv_nightly_avg × stress_avg
p = 0.0013

More total sleep associates with lower resting heart rate.

r = -0.13 Weak
Same day n = 529 sleep_total_sec × resting_hr
p = 0.0233

More deep sleep associates with higher step counts.

r = 0.13 Weak
7-day lag n = 502 sleep_deep_sec × steps
p = 0.0318

Higher HRV correlates with lower average stress.

r = -0.12 Weak
Same day n = 522 hrv_nightly_avg × stress_avg
p = 0.0380

More deep sleep associates with higher step counts.

r = 0.10 Weak
1-day lag n = 514 sleep_deep_sec × steps
p = 0.0971
8 Significant
40 Tests run
8 Metric pairs
5 Lag windows
FDR α = 0.10

Methodology: Pearson correlations computed across 8 metric pairs at 5 lag windows (0, 1, 2, 3, 7 days), yielding up to 40 tests total. Multiple-comparison correction applied using Benjamini-Hochberg FDR at α = 0.10. Minimum 15 overlapping observations required per pair. Positive r (green) indicates metrics that rise and fall together; negative r (amber) indicates an inverse relationship.