vol.01 / open data observatory

Measure everything.
Correlate anything.

An open notebook for the quantifiable self. Log hundreds of metrics about your lifestyle, body, mind, and demography — then plot any variable against any other and see what relationships fall out of the data.

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65
researchers
72
metrics tracked
2939
data points
fig.001 — n=240 // hover to find order
y = -0.7x + c
step.01

Log your variables

Fill in metrics across lifestyle, health, demographics, and personality. Edit any time. The catalog grows.

step.02

Pick chart, pick axes

Scatter, bar, pie, line, histogram, or correlation heatmap. Choose any two metrics — across yourself or the entire community.

step.03

See relationships

Get a Pearson r, a sample size, and an AI-written interpretation that always reminds you correlation ≠ causation.

sample finding
"Across 65 researchers, sleep_hours correlates with mood at r ≈ 0.41 — a moderately positive relationship that does not imply causation."
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