HumanRank alpha

Küresel editoryal sıralama

MethodologyPrivacyTerms

HumanRank, kamuya açık kişilerin kaynaklı editoryal profillerini genel nüfus için anonim kohortlarla birleştirir. Her sıra kaynak, güven, belirsizlik ve model sürümünü yayınlar.

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

Cohort estimate

Shanghai

East Asia
EarthScore767
Global#988.576.598
Local cohort#800.844
Top 12.2%range 698-836, medium confidence (58%)
Prosperity58
Health76
Education82
Safety78
Environment50
Connectivity88
Opportunity82

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

Herkes aynı sıralamada

HumanRank #1’den yaşayan tüm nüfusa kadar konumları tahmin eder. Kaynaklı kamu profilleri, kişi profilini talep edene veya düzeltene kadar anonim kohortlarla birlikte görünür.

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
#988.576.598anonymous

Anonymous cohort

Shanghai, age 30. Unnamed profile until claim.

ChinaEast Asia
EditorialScore767
confidence58%
range 698-836 | 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.

Bölgesel SEO

Bölgeye göre sıralamalar

Tek küresel sıralamayı korurken bölgesel ve long-tail aramalar için yerelleştirilmiş editoryal sayfalar.

Latin Amerika

3 | 3 | EarthScore 681

Bölgeyi aç

Kuzey Amerika

3 | 2 | EarthScore 843

Bölgeyi aç

Avrupa

3 | 3 | EarthScore 856

Bölgeyi aç

Orta Doğu

1 | 1 | EarthScore 853

Bölgeyi aç

Asya Pasifik

4 | 4 | EarthScore 887

Bölgeyi aç

Güney Asya

2 | 1 | EarthScore 586

Bölgeyi aç

Doğu Asya

1 | 1 | EarthScore 767

Bölgeyi aç

Afrika

3 | 3 | EarthScore 574

Bölgeyi aç

Küresel long tail

Ülke ve şehir sayfaları

Her ülke ve şehir için yerelleştirilmiş sayfalar, tek küresel sıralamaya bağlı.

Ülkeler

Hindistan2 | 1.430.000.000Çin1 | 1.410.000.000Amerika Birleşik Devletleri2 | 342.000.000Nijerya1 | 229.000.000Brezilya1 | 203.000.000Meksika1 | 129.000.000Japonya1 | 124.000.000Almanya1 | 84.000.000Fransa1 | 68.000.000Birleşik Krallık1 | 68.000.000Güney Afrika1 | 61.000.000Kenya1 | 56.000.000Güney Kore1 | 52.000.000Arjantin1 | 46.200.000Kanada1 | 41.000.000Avustralya1 | 27.000.000Birleşik Arap Emirlikleri1 | 11.000.000Singapur1 | 6.000.000

Şehirler

TokyoJaponya | #451.628.334DelhiHindistan | #3.211.947.059ShanghaiÇin | #988.576.598Sao PauloBrezilya | #1.985.586.707Mexico CityMeksika | #1.755.475.174MumbaiHindistan | #2.832.842.763New YorkAmerika Birleşik Devletleri | #655.810.654LagosNijerya | #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.