—
Records scored
—
Trans-coded (|δ|≥0.7)
—
Female trans records
—
Male trans records
—
Trans mean lag
—
Trans curve score

Mean cross-correlation lag by group

Positive = name changes precede baby naming trends; negative = name changes follow trends

Primary Finding

Across all gazette name changes, the mean lag is −0.30 years — people generally follow current naming trends. But in the trans-coded subset, this flips to +0.86 years: trans name changes appear in the gazette before those names peak in baby data.

Important Caveat

The female trans positive lag (+1.71y) is likely a statistical artifact: trans women tend to choose 1970s–80s female names (JESSICA, JENNIFER) that were already declining. Two declining series can produce a spurious lag. Granger causality tests are non-significant. See the About tab.

Curve score by era (trans-coded records)

−1 = fully behind the curve, +1 = maximally ahead. All groups score negative (choosing past-peak names).

Period n records All trans Female Male

Search for a name above to explore its trend.

Try: JESSICA · OLIVER · NOVA · KIMBERLEY · JOAN · KAI

Large dots = p<0.05. Click a name to open in Name Explorer.

Curve score distributions by group

Mean curve score over time (trans-coded records, 2000–2018)

Dashed lines = female / male trans separately. Solid = all trans-coded.

Curve score vs gender delta

Coloured by 5-year era. Shows whether the trans signal is concentrated at high |δ|.

Mean lag vs gender delta threshold

As we restrict to higher |δ| (more strongly trans-coded), how does the mean lag change?

Lag distribution: female vs male trans names

Lag distribution: pre vs post 2006 trans opt-out

Since 2006, trans people can request non-publication in the Gazette, introducing systematic underrepresentation.

Click any bar to explore that name. Scores based on curve_score for trans-coded records with n≥3.

New Name Year Gender Delta Curve Score

Loading report…

Loading data…