HumanRank alpha

글로벌 편집 랭킹

MethodologyPrivacyTerms

HumanRank는 공인의 출처 기반 편집 프로필과 일반 인구의 익명 코호트를 결합합니다. 각 순위는 출처, 신뢰도, 불확실성, 모델 버전을 공개합니다.

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

Cohort estimate

Paris

Europe
EarthScore870
Global#465,472,308
Local cohort#142,508
Top 5.7%range 796-944, medium confidence (55%)
Prosperity72
Health87
Education87
Safety68
Environment64
Connectivity91
Opportunity84

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

모두가 하나의 랭킹 안에

HumanRank는 #1부터 전체 생존 인구까지의 위치를 추정합니다. 출처가 있는 공인 프로필은 본인이 청구하거나 수정할 때까지 익명 코호트와 함께 표시됩니다.

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
#465,472,308anonymous

Anonymous cohort

Paris, age 30. Unnamed profile until claim.

FranceEurope
EditorialScore870
confidence55%
range 796-944 | 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.

지역 SEO

지역별 랭킹

하나의 글로벌 랭킹을 유지하면서 지역 및 롱테일 검색을 위한 현지화 편집 페이지입니다.

라틴아메리카

3 | 3 | EarthScore 681

지역 열기

북아메리카

3 | 2 | EarthScore 843

지역 열기

유럽

3 | 3 | EarthScore 856

지역 열기

중동

1 | 1 | EarthScore 853

지역 열기

아시아 태평양

4 | 4 | EarthScore 887

지역 열기

남아시아

2 | 1 | EarthScore 586

지역 열기

동아시아

1 | 1 | EarthScore 767

지역 열기

아프리카

3 | 3 | EarthScore 574

지역 열기

글로벌 롱테일

국가 및 도시 페이지

각 시드 국가와 도시의 현지화 페이지를 하나의 글로벌 랭킹에 연결합니다.

국가

인도2 | 1,430,000,000중국1 | 1,410,000,000미국2 | 342,000,000나이지리아1 | 229,000,000브라질1 | 203,000,000멕시코1 | 129,000,000일본1 | 124,000,000독일1 | 84,000,000프랑스1 | 68,000,000영국1 | 68,000,000남아프리카1 | 61,000,000케냐1 | 56,000,000대한민국1 | 52,000,000아르헨티나1 | 46,200,000캐나다1 | 41,000,000오스트레일리아1 | 27,000,000아랍에미리트1 | 11,000,000싱가포르1 | 6,000,000

도시

Tokyo일본 | #451,628,334Delhi인도 | #3,211,947,059Shanghai중국 | #988,576,598Sao Paulo브라질 | #1,985,586,707Mexico City멕시코 | #1,755,475,174Mumbai인도 | #2,832,842,763New York미국 | #655,810,654Lagos나이지리아 | #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.