HumanRank alpha

Classement éditorial mondial

MethodologyPrivacyTerms

HumanRank combine des profils éditoriaux de personnalités publiques avec des cohortes anonymes pour la population générale. Chaque rang publie sources, confiance, incertitude et version du modèle.

General population stays anonymous by cohort. Public figures can have sourced editorial profiles.

Cohort estimate

Tokyo

Asia Pacific
EarthScore874
Global#451 628 334
Local cohort#455 188
Top 5.6%range 806-942, medium confidence (59%)
Prosperity73
Health93
Education90
Safety88
Environment71
Connectivity95
Opportunity83

Claim layer

Claim or correct a profile

When claimed, a private Firestore profile is stored with revocable consent. The person can add evidence, correct sources and dispute weights.

Claiming is blocked until a valid OAuth Web Client is configured in Google Auth Platform.

Global living ranking

Tout le monde dans un même classement

HumanRank estime les positions du #1 à toute la population vivante. Les profils publics sourcés apparaissent avec des cohortes anonymes jusqu’à réclamation ou correction.

8 120 000 000estimated living people
50 000indexable public profiles
DataLocal seeds
#139 843editorial

Serena Williams

tenista e inversora

Estados UnidosSports
EditorialScore90,5
confidence81%
range 77,5-100 | sources 8
unique slot
Perfil WTASerena Ventures
model: public-figure-editorial-v0.1.0
#903 241editorial

Elon Musk

emprendedor y ejecutivo

Estados UnidosBusiness
EditorialScore85,4
confidence76%
range 71,4-99,4 | sources 9
unique slot
Tesla leadershipPerfil Forbes
model: public-figure-editorial-v0.1.0
#1 281 155editorial

Bernard Arnault

ejecutivo e inversor de lujo

FranciaBusiness
EditorialScore84,2
confidence75%
range 69,2-99,2 | sources 7
unique slot
Perfil ForbesLVMH governance
model: public-figure-editorial-v0.1.0
#451 628 334anonymous

Anonymous cohort

Tokyo, age 30. Unnamed profile until claim.

JapanAsia Pacific
EditorialScore874
confidence59%
range 806-942 | sources 0
model: macro-capability-v0.2.0-demo
Net worth and wealth are handled as source-estimated ranges, not absolute facts.Sentiment is a capped, separate subcomponent; it never decides the ranking alone.Any ranked person can claim, correct, add evidence or dispute the profile.

SEO régional

Classements par région

Pages éditoriales localisées pour les recherches régionales et longue traîne dans un seul classement mondial.

Amérique latine

3 | 3 | EarthScore 681

Ouvrir la région

Amérique du Nord

3 | 2 | EarthScore 843

Ouvrir la région

Europe

3 | 3 | EarthScore 856

Ouvrir la région

Moyen-Orient

1 | 1 | EarthScore 853

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Asie-Pacifique

4 | 4 | EarthScore 887

Ouvrir la région

Asie du Sud

2 | 1 | EarthScore 586

Ouvrir la région

Asie de l’Est

1 | 1 | EarthScore 767

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Afrique

3 | 3 | EarthScore 574

Ouvrir la région

Long tail mondial

Pages par pays et ville

Pages localisées par pays et ville, reliées au classement mondial unique.

Pays

Inde2 | 1 430 000 000Chine1 | 1 410 000 000États-Unis2 | 342 000 000Nigeria1 | 229 000 000Brésil1 | 203 000 000Mexique1 | 129 000 000Japon1 | 124 000 000Allemagne1 | 84 000 000France1 | 68 000 000Royaume-Uni1 | 68 000 000Afrique du Sud1 | 61 000 000Kenya1 | 56 000 000Corée du Sud1 | 52 000 000Argentine1 | 46 200 000Canada1 | 41 000 000Australie1 | 27 000 000Émirats arabes unis1 | 11 000 000Singapour1 | 6 000 000

Villes

TokyoJapon | #451 628 334DelhiInde | #3 211 947 059ShanghaiChine | #988 576 598Sao PauloBrésil | #1 985 586 707Mexico CityMexique | #1 755 475 174MumbaiInde | #2 832 842 763New YorkÉtats-Unis | #655 810 654LagosNigeria | #4 969 966 477

Model governance

Open weights and rationale

The ranking should not hide normative values. We publish the active weight, rationale and a vote for more, less or equal weight in the next version.

Verifiable achievementactive weight 26%

Awards, offices, records and public credentials with sources. Keeps fame or wealth from dominating alone.

Social impactactive weight 22%

Measures scale and depth of public contributions, with caps so visibility is not confused with benefit.

Public notabilityactive weight 18%

Uses coverage and encyclopedic presence as a verifiability signal, not as moral approval.

Public sentimentactive weight 12%

Stays capped because public mood is noisy, manipulable and culturally uneven.

Source qualityactive weight 10%

Raises confidence when sources are official, stable and multiple; penalizes less auditable profiles.

Wealth / economic reachactive weight 7%

Counts lightly and as an estimated range. The open question is how much society values economic capacity.

Reputation stabilityactive weight 5%

Does not reward ideological consensus; it only limits jumps when public evidence is unstable or disputed.

Age / future horizonnot active

Not active by default. It can be debated as a life-stage signal, with high risk of age bias.

GCP architecture

Ready to move from demo to platform

Cloud RunNext.js container
Firebase Authopt-in identity
Firestore + BigQueryprofile and datasets
Secret Managercredentials and keys
General population stays anonymous by cohort; public figures can have sourced editorial profiles.Gender is used for cohort labels, not score calculation.Verified personal data can be revoked and audited.Next: ingest public datasets into BigQuery and recompute cohorts on schedule.

Impartiality

Social proof as calibrated evidence

Credentials
Max weight 22%

Prefer issuer verification, expiration dates and domain relevance over brand prestige.

Work profiles
Max weight 18%

LinkedIn or portfolio data must be normalized by role, seniority, geography and opportunity access.

Peer praise
Max weight 12%

Endorsements are capped, domain-specific, duplicate-resistant and weighted by rater reliability.

Health activity
Max weight 16%

Activity signals need device provenance and disability-aware interpretation.

Civic impact
Max weight 14%

Donations, volunteering and open work are scored by verified impact, not dollar amount alone.

No follower count, likes or raw connection count in score.Praise needs a declared domain such as leadership, craft, reliability or mentorship.One rater cannot move a score materially; repeated reciprocal praise is discounted.Public figures and high-network users receive saturation caps.The model reports social-proof contribution separately from macro capability.Aggregate audits compare outcomes by geography, gender disclosure, age band and socioeconomic proxies.