Darker cells mean a higher score for this topic on that metric.
LessMore
Last reviewed Sources & creditsMedia creditsMethodology
Quick answers
Why do names matter if they are “just labels”?
Labels are how institutions and strangers find you. A name is a retrieval key for records, introductions and memory — social technology, not magic.
Did a résumé study really show name bias?
Yes. Bertrand and Mullainathan’s 2003 NBER paper (AER 2004) found U.S. callbacks differed for identical résumés labelled Emily/Greg versus Lakisha/Jamal.
Do names determine character?
No. Etymology and character charts are historical or folk systems. They describe culture; they do not predict a life.
Is a unique name always better?
Uniqueness can aid recall and also increase mispronunciation, teasing or form friction. Lieberson treated popularity as taste cycles, not virtue.
Why do governments care what you are called?
Civil registration, inheritance, taxation and travel documents need a stable identifier. That is administration, not aesthetics.
Are baby-name charts destiny maps?
Official files such as SSA, ONS and Statistics Korea count registrations. They are frequency data, not advice about who a child will become.
Each decade rediscovers names through a new institution: the factory payroll, the credit bureau, the search engine, the diversity audit.
Trend talk should cite offices and years. Live “number one baby name” claims without a source are noise.
Cycles
- Moral panic about “made-up” names — Recurs whenever fashion accelerates; Lieberson treated novelty as normal taste, not decline.
- Assimilation waves — Immigrant cohorts often localise spellings, then later generations revive heritage forms.
- Audit-study aftershocks — Emily/Lakisha is re-cited whenever hiring bias returns to headlines.
- Platform real-name fights — Social networks oscillate between legal-name rules and chosen-name policies.
- SEO and personal branding — The legal name and the searchable name increasingly compete for the same attention.
Signals
- Correspondence audits — Replication and new markets (housing, sharing economy) keep testing name signals.
- Open government files — SSA, ONS and KOSTAT dumps make fashion research cheap and misquotation easy.
- HR software — Applicant-tracking systems can hide or highlight names — a new lever on old bias.
- Trans and chosen-name policy — Institutions now distinguish legal name, lived name and pronouns as separate fields.
Outlook
- More fields, not fewer — Forms will keep adding “name to use” beside “name on passport”.
- Better measurement, same prejudice risk — Audits will spread; they do not automatically close callback gaps.
- Atlas habit — Cite the year and the office, or do not cite a rank.
The durable trend is that more systems store the string — so mismatches and biases have more places to appear.