What 8 Months of Data Taught Me About My Body

What 8 Months of Data Taught Me About My Body

Logging weight since September. 34 entries. Not every week (missed some), but consistent.

Looking at data now. Some patterns obvious. Others surprised me.

Pattern 1: Winter is hard. November through February, weight crept up. 176 to 181. Not dramatic, but clear. Less walking (cold). More comfort food (dark at 5 PM). Holiday parties. All adds up.

Pattern 2: Spring rebounds. March through May, steady decline. 181 back to 174. More daylight = more walking. More energy = better food choices. Body has seasons.

Pattern 3: Stress spikes. Two obvious spikes: January (work deadline) and April (family stuff). Both times, weight jumped 2-3 pounds in a week. Stress eating? Poor sleep? Both, probably.

Pattern 4: Trend is slow. 8 months. 34 entries. Net change: about 7 pounds. Less than a pound per month. Boring. Unimpressive. But sustainable? Not starving. Not killing self at gym. Just slowly trending down.

Pattern 5: Can predict future. Not really. But can guess. Keep current habits, probably hit 170 by August. Slack off, back to 180 by October. Data makes it feel less mysterious.

Biggest surprise: thought I was "slow metabolism" person. Whole life. But looking at data, when actually stick to decent habits, lose weight like anyone else. Problem was never metabolism. It was consistency.

Both encouraging and annoying.

Doing with this knowledge:

• Accepting winter gains are normal, not failure
• Planning ahead for stressful weeks (meal prep, sleep priority)
• Setting realistic expectations (1 pound per month, not 5)
• Focusing on 6-month trend, not weekly noise

Data doesn't lie. Doesn't judge. Just shows.

— Alex

P.S. Exported full 8-month CSV yesterday. 34 rows. Opened Excel. Made chart. Felt professional. Closed Excel. Haven't opened since.

P.P.S. Been tracking a while? Export data and look at it. Patterns emerge you can't see week-to-week.