HumanRank alpha

Ranking editorial global

MethodologyPrivacyTerms

HumanRank combina perfis editoriais de pessoas públicas com coortes anônimas para a população geral. Cada posição publica fontes, confiança, incerteza e versão do modelo.

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

Cohort estimate

San Francisco

North America
EarthScore868
Global#472.542.869
Local cohort#58.893
Top 5.8%range 789-947, medium confidence (52%)
Prosperity80
Health82
Education92
Safety63
Environment70
Connectivity96
Opportunity94

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

Todos em um único ranking

HumanRank estima posições do #1 ao total de pessoas vivas. Perfis públicos com fontes aparecem intercalados com coortes anônimas até que cada pessoa reivindique ou corrija seu perfil.

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
#472.542.869anonymous

Anonymous cohort

San Francisco, age 30. Unnamed profile until claim.

United StatesNorth America
EditorialScore868
confidence52%
range 789-947 | 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 regional

Rankings por região

Páginas editoriais localizadas para buscas regionais e de cauda longa dentro de um ranking global único.

América Latina

3 | 3 | EarthScore 681

Abrir região

América do Norte

3 | 2 | EarthScore 843

Abrir região

Europa

3 | 3 | EarthScore 856

Abrir região

Oriente Médio

1 | 1 | EarthScore 853

Abrir região

Ásia Pacífico

4 | 4 | EarthScore 887

Abrir região

Sul da Ásia

2 | 1 | EarthScore 586

Abrir região

Leste Asiático

1 | 1 | EarthScore 767

Abrir região

África

3 | 3 | EarthScore 574

Abrir região

Long tail global

Páginas por país e cidade

Landings localizadas por país e cidade, sempre conectadas ao ranking global.

Países

Índia2 | 1.430.000.000China1 | 1.410.000.000Estados Unidos2 | 342.000.000Nigéria1 | 229.000.000Brasil1 | 203.000.000México1 | 129.000.000Japão1 | 124.000.000Alemanha1 | 84.000.000França1 | 68.000.000Reino Unido1 | 68.000.000África do Sul1 | 61.000.000Quênia1 | 56.000.000Coreia do Sul1 | 52.000.000Argentina1 | 46.200.000Canadá1 | 41.000.000Austrália1 | 27.000.000Emirados Árabes Unidos1 | 11.000.000Singapura1 | 6.000.000

Cidades

TokyoJapão | #451.628.334DelhiÍndia | #3.211.947.059ShanghaiChina | #988.576.598Sao PauloBrasil | #1.985.586.707Mexico CityMéxico | #1.755.475.174MumbaiÍndia | #2.832.842.763New YorkEstados Unidos | #655.810.654LagosNigéria | #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.