# Anthony cesar duncan (@anthonypsychosissurvivor) on tiktok

- id: koinon:creator:tiktok_anthonypsychosissurvivor
- url: https://koinonlink.com/kol/tiktok/anthonypsychosissurvivor
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: anthonypsychosissurvivor
- platform_url: https://www.tiktok.com/@anthonypsychosissurvivor
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 24631
- following: 204
- posts_total: 121
- posts_observed: 6
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: entertainment
- subcategory: mindset
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: AI and psychosis, mental health education, lived experiences of psychosis, podcast interviews with artists, mental health stigma, AI-generated delusions

## Audience (inferred)
- status: present
- description: Individuals interested in mental health education, particularly psychosis and AI-related delusions, with a focus on lived experiences and personal storytelling
- roles: general_ai
- seniority: learner
- pain_points: Struggling to understand the intersection of AI and mental health conditions like psychosis, Feeling isolated or misunderstood due to personal experiences with psychosis or mental health challenges, Finding it hard to distinguish between real and delusional content in AI interactions, Lacking accessible, authentic narratives about psychosis from people who've lived it
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 57
- authenticity_basis: profile_shape_only
- credibility_score: 57
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [tiktok_anthonypsychosissurvivor#a8e63efe] Thank you @NewsNation for bringing this important and prevalent issue to light on your platform. #education #psychosis #ai #MentalHealth #chatgpt (https://www.tiktok.com/@anthonypsychosissurvivor)
- [tiktok_anthonypsychosissurvivor#6ca546b1] original sound - anthonypsychosissurvivor
- [tiktok_anthonypsychosissurvivor#32c10cd3] It is a becoming a big trend on TikTok now! Click here: education
- [tiktok_anthonypsychosissurvivor#1a41477d] Check out Anthony cesar duncan’s video! #TikTok >
- [tiktok_anthonypsychosissurvivor#5319d5c5] Delusional concepts portrayed in this video are strictly for education purposes. This is my true lived experience. #psychosis #MentalHealth #education #chatgpt #ai
- [tiktok_anthonypsychosissurvivor#9a02340e] Educational Purposes Only. This video contains screenshots of  Ai chatbot conversations I had during psychosis. Delusional concepts are mentioned strictly for mental health education purposes. Delusions mentioned have NO basis in reality. #psychosis #MentalHealth #education #chat
- [tiktok_anthonypsychosissurvivor#6b7e645e] Search:
- [tiktok_anthonypsychosissurvivor#f71f43b4] jensen girl chat gpt /

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=47, 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=0.25, freshness_days=0, 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=47, 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=47, method=platform_profile

## Freshness
- profile_checked_days_ago: 47
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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=tiktok_anthonypsychosissurvivor
- Request removal: https://koinonlink.com/claim?k=tiktok_anthonypsychosissurvivor
- Terms: https://koinonlink.com/for-ai