HumanRank alpha

グローバル編集ランキング

MethodologyPrivacyTerms

HumanRank は、公的人物の出典付き編集プロフィールと一般人口の匿名コホートを組み合わせます。各ランクは出典、信頼度、不確実性、モデル版を表示します。

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

Cohort estimate

Mexico City

Latin America
EarthScore681
Global#1,755,475,174
Local cohort#1,070,148
Top 21.6%range 610-752, medium confidence (57%)
Prosperity50
Health70
Education65
Safety44
Environment42
Connectivity77
Opportunity61

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

すべての人をひとつのランキングに

HumanRank は #1 から全生存人口までの位置を推定します。出典付きの公的プロフィールは、本人が請求または修正するまで匿名コホートと並んで表示されます。

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
#1,755,475,174anonymous

Anonymous cohort

Mexico City, age 30. Unnamed profile until claim.

MexicoLatin America
EditorialScore681
confidence57%
range 610-752 | 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.

地域 SEO

地域別ランキング

単一のグローバルランキングを保ちながら、地域検索とロングテール検索に対応する編集ページです。

ラテンアメリカ

3 | 3 | EarthScore 681

地域を開く

北米

3 | 2 | EarthScore 843

地域を開く

ヨーロッパ

3 | 3 | EarthScore 856

地域を開く

中東

1 | 1 | EarthScore 853

地域を開く

アジア太平洋

4 | 4 | EarthScore 887

地域を開く

南アジア

2 | 1 | EarthScore 586

地域を開く

東アジア

1 | 1 | EarthScore 767

地域を開く

アフリカ

3 | 3 | EarthScore 574

地域を開く

グローバル・ロングテール

国別・都市別ページ

各シード国と都市のローカライズページを、単一の世界ランキングへ接続します。

国

インド2 | 1,430,000,000中国1 | 1,410,000,000アメリカ合衆国2 | 342,000,000ナイジェリア1 | 229,000,000ブラジル1 | 203,000,000メキシコ1 | 129,000,000日本1 | 124,000,000ドイツ1 | 84,000,000フランス1 | 68,000,000イギリス1 | 68,000,000南アフリカ1 | 61,000,000ケニア1 | 56,000,000韓国1 | 52,000,000アルゼンチン1 | 46,200,000カナダ1 | 41,000,000オーストラリア1 | 27,000,000アラブ首長国連邦1 | 11,000,000シンガポール1 | 6,000,000

都市

Tokyo日本 | #451,628,334Delhiインド | #3,211,947,059Shanghai中国 | #988,576,598Sao Pauloブラジル | #1,985,586,707Mexico Cityメキシコ | #1,755,475,174Mumbaiインド | #2,832,842,763New Yorkアメリカ合衆国 | #655,810,654Lagosナイジェリア | #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.