HumanRank alpha

Rànquing editorial global

HumanRank combina perfils editorials de persones públiques amb cohorts anònimes per a la població general. Cada rang publica fonts, confiança, incertesa i versió del model.

La població general queda anònima per cohort. Les figures públiques poden tenir perfils editorials amb fonts.

Cohort estimate

Toronto

North America
EarthScore843
Global#569.823.265
Local cohort#103.438
Top 7.0%range 767-919, medium confidence (54%)
Prosperity75
Health86
Education90
Safety76
Environment72
Connectivity92
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.

Rànquing global viu

Tothom en un mateix rànquing

HumanRank estima posicions del #1 al total de persones vives. Els perfils públics amb fonts, com Messi, apareixen intercalats amb cohorts anònimes fins que cada persona reclama o corregeix el seu perfil.

8.120.000.000persones vives estimades
50.000perfils públics indexables
DadesLocal seeds
#139.843editorial

Serena Williams

tenista e inversora

Estados UnidosSports
Score editorial90,5
confiança81%
interval 77,5-100 | fonts 8
unique slot
model: public-figure-editorial-v0.1.0
#903.241editorial

Elon Musk

emprendedor y ejecutivo

Estados UnidosBusiness
Score editorial85,4
confiança76%
interval 71,4-99,4 | fonts 9
unique slot
model: public-figure-editorial-v0.1.0
#569.823.265anònim

Cohort anònima

Toronto, edat 30. Perfil sense nom fins a la reclamació.

CanadaNorth America
Score editorial843
confiança54%
interval 767-919 | fonts 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

Rànquings per regió

Pàgines editorials localitzades perquè HumanRank pugui aparèixer en cerques regionals i de cua llarga sense separar ningú del rànquing global únic.

Long tail global

Pàgines per país i ciutat

Landings localitzades per a cada país i ciutat llavor, sempre connectades al rànquing global.

Model governance

Pesos oberts i justificació

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.

Imparcialitat

Prova social com a evidència calibrada

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.

Reconeixement de parells
Max weight 12%

Els avals tenen límits, domini declarat, resistència a duplicats i pes segons la fiabilitat de qui avalua.

Activitat de salut
Max weight 16%

Les senyals d’activitat requereixen procedència del dispositiu i interpretació conscient de discapacitat.

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.