# Dr. Nils Schaetti (@nschaetti) on x

- id: koinon:creator:x_nschaetti
- url: https://koinonlink.com/kol/x/nschaetti
- schema_version: 1.4

## Identity
- platform: x
- handle: nschaetti
- platform_url: https://twitter.com/nschaetti
- website: http://www.nilsschaetti.com/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 6406
- following: 190
- posts_total: 156248
- posts_observed: 8
- posts_per_day: 24.606
- account_age_days: 6350
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00047
- best_post_interactions: 3
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: security
- category_confidence: 0.4
- category_source: derived_from_discovery_path
- topics: AI popularization, Digital sovereignty and cybersecurity, Pirate Party politics, Internet governance
- bio: Chercheur en #MachineLearning. Vulgarisateur de l'#IA et créateur de @Artificialis1. Co-président @partipiratevaud.

## Audience (inferred)
- status: present
- description: Machine learning researchers, AI popularizers and Swiss/French-speaking digital rights activists (Pirate Party supporters), but content too mixed to judge accurately
- roles: none
- seniority: practitioner
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: engagement_observed
- credibility_score: 68
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_nschaetti#4f5e534a] #RTSInfrarouge Il y a des politiques qui s'occupent des problématiques du numérique: le parti pirate! Invitez les! #AI #IA (https://twitter.com/nschaetti/status/913975568835731456)
- [x_nschaetti#a1b8efe5] Au #sigf Swiss #Internet Governance Forum à Berne! Pour parler de #sécurité, souveraineté et #inclusion numérique. #data #swiss @Swiss_IGF https://t.co/RMbsJWgrq4
- [x_nschaetti#e40811e1] Toxic #Data et #Cybersécurité: les dangers du #numérique. Au Salon du Livre de Genève @livregeneve https://t.co/KnLcmdCJgR
- [x_nschaetti#8014dc89] Stand du Parti Pirate Vaudois à Nyon. N'oubliez pas de voter. #pirate #vaud #vaud2022 #ecvd2022 #nyon https://t.co/yPzKy4HxLA
- [x_nschaetti#9c77f1ad] Je fais une liste complète des films qui ont comme sujet (de près ou de loin) l'intelligence artificielle pour une vidéo. Des propositions? De films peu connus? #IntelligenceArtificielle #Robots #IA #Cinema
- [x_nschaetti#90aa53b3] On aimerait bien une réponse @idrissaberkane!
- [x_nschaetti#37625634] Est-ce qu'un invité peut expliquer simplement ce qu'est l'intégrité numérique (et pourquoi c'est i

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=109, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=77, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=109, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=109, method=platform_profile

## Freshness
- profile_checked_days_ago: 109
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 6
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_nschaetti
- Request removal: https://koinonlink.com/claim?k=x_nschaetti
- Terms: https://koinonlink.com/for-ai