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.
Higher HRV nights precede higher training volume.
Higher step days strongly predict lower end-of-day body battery.
Higher HRV correlates with lower average stress.
More total sleep associates with lower resting heart rate.
More deep sleep associates with higher step counts.
Higher HRV correlates with lower average stress.
More deep sleep associates with higher step counts.
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.