The clearest pattern in your data is that high step days reliably drain your body battery by end of day (r=-0.358), and that effect still shows up a full week later (r=-0.214), meaning genuinely high-output days carry a recovery cost that lingers longer than a single night's sleep will erase — worth keeping in mind when stacking back-to-back 18k+ step days heading into a heavy training session. The most actionable finding is actually the deep sleep connection: more deep sleep predicts higher step counts seven days later (r=0.154), which suggests that protecting sleep quality isn't just about feeling rested tomorrow but about sustaining your physical output and capacity across the following week, making it one of the higher-leverage dials you can turn during a mass phase when consistency matters. The HRV-to-stress link (r=-0.181 at 7-day lag) is worth noting but not overthinking — it largely confirms that when your nervous system is in a better place, perceived stress runs lower across the following week, though given your naturally low HRV baseline, single-day swings in that number shouldn't drive decisions. The surprise here is the two-day rebound: high step days actually predict *higher* body battery 48 hours out (r=0.119), hinting at a compensatory recovery response, though that effect is the weakest of the significant findings and could easily be noise. With 40 tests run and only 7 surviving FDR correction, the surviving correlations are real signals rather than statistical accidents, but they're still observational — your butcher work, training schedule, and nutrition timing are all tangled together in ways the correlations can't fully separate.
Significant Correlations 5
Higher step days strongly predict lower end-of-day body battery.
Higher step days strongly predict lower end-of-day body battery.
Higher HRV correlates with lower average stress.
More deep sleep associates with higher step counts.
Higher step days predict higher end-of-day body battery.
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.