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How Journal impact is calculated

How Journal Insights compares tagged and untagged days, what the impact percentage means, and how factors are ranked.

Published September 24, 2026Updated Sep 28, 2026
This content is for informational purposes only and is not a substitute for professional advice.

Journal Insights ranks your tags by how far a score moves on days you used them. A tag with a large impact is one worth watching, and a tag with few tagged days is set apart so a thin sample does not look like a strong result.

Open it with the Journal Insights button at the bottom of the Journal screen. The screen is titled Insights. Titan runs the analysis on your iPhone from scores and tags stored in the app.

01Targets and metrics

The segmented control at the top picks a target. The Metric menu below it picks the score that target is measured against.

TargetMetrics you can pickDefault
RecoveryRecovery Score, Stress Score, Resilience ScoreRecovery Score
SleepSleep Score, Sleep DebtSleep Score

Switching the target resets the metric to that target's default. Each change reruns the analysis.

02The 60-day window

Every calculation covers 60 days, today included. The dates appear under the factor lists as "Window". Days with no stored score for the chosen metric drop out of the calculation. They count as neither tagged nor untagged.

03How impact is calculated

For each tag, Titan splits the days in the window that have a score into two groups. One group holds the days you tagged. The other holds every other scored day. Titan averages the score in each group.

Impact is the tagged average minus the untagged average, divided by the untagged average, times 100. The result shows as a whole percentage with a sign.

Suppose your Recovery Score averages 72 on untagged days and 63 on days tagged Alcohol. The difference is minus 9. Divided by 72, that is minus 12.5 percent, which displays as -13%.

A positive number means the metric was higher on tagged days. A negative number means it was lower. Titan colors positive numbers green and negative numbers red for every metric. For Stress Score and Sleep Debt, a higher number is the worse outcome, so a green +10% on Sleep Debt means more debt on tagged days.

A tag shows "No data" in place of a percentage when none of its tagged days has a score, when no untagged day has a score, or when the untagged average is zero.

04Which day a tag is compared with

Titan compares each tag with the scores for the day and night it describes. A tag on Monday, such as a late meal or a glass of wine in the evening, is measured against the Recovery and Sleep that followed it.

05Occurrences and Low Confidence

The number in the grey capsule next to each tag is its occurrences, the count of distinct days in the window that carry the tag. A tagged day counts here even when it has no score.

Tags with 3 or more occurrences appear under Factors. Tags with fewer than 3 appear under Low Confidence, with the note "Fewer than 3 tagged days". Keep tagging and a factor moves up to the main list once it reaches 3 days in the window. A tag drops back down when older days roll out of the 60-day window.

06How factors are ranked

Both lists use the same order.

  1. Largest impact first, by size regardless of sign. A -15% ranks above a +9%.
  2. Tags showing No data come after every tag with a percentage.
  3. When impact ties, the tag with more occurrences comes first.
  4. Remaining ties sort alphabetically by tag name.

07Reading a factor row and the chart

Each row shows the tag, its occurrences, and its impact. The small line under the name plots the metric on the most recent 14 tagged days. The bar beside it fills left for negative impact and right for positive, and it reaches full length at 30 percent in either direction.

Tap a row to load it into the Impact Chart at the top. The first factor is selected when the screen opens. The chart draws one bar per scored day across the 60 days. Dark bars are days the tag was active. The green line marks the average on days without the tag.

08Impact is a correlation

Impact describes what happened to a score on days you tagged. It does not show that the tag caused the change. A tag that often lands on the same days as another habit, a hard training block, or illness will pick up their effect too. Use a strong result as a prompt to test the habit on purpose for a few weeks, then check whether the number holds.

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