# Avisha |🧬Scientist Mythbuster (@distilledscience) on tiktok

- id: koinon:creator:tiktok_distilledscience
- url: https://koinonlink.com/kol/tiktok/distilledscience
- schema_version: 1.4

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

## Reach
- followers: 564398
- following: 476
- posts_observed: 1
- verified: false
- size_tier: kol

## 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: software
- subcategory: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI environmental impact and water use, Health mythbusting (blood sugar, cinnamon, migraines, cannab, Psychology and reasoning puzzles, Science fact-checking and citations, Skepticism toward viral trends
- bio: 🧬Your Skeptical Scientist: Distilling Truth from Trends🤦‍♂️
#Optimalist 💪 - NYC
Business: 📧 [contact removed]

## Audience (inferred)
- status: present
- description: TikTok users interested in science mythbusting, health claims, AI impacts, and evidence-based skepticism
- roles: consumer
- seniority: consumer
- pain_points: Sorting fact from viral misinformation on health and wellness trends, Understanding real environmental and ethical issues around AI without hype, Finding nuanced, cited explanations for complex science topics like migraines or psychology, Dealing with oversimplified or exaggerated claims in science content
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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
- [tiktok_distilledscience#b41bc3a0] Replying to @breanncookie  🙋‍♂️Do you get this sort of startle reaction? 🚨Lots of goodies and citations for the free tier! & SPECIAL OFFER: For the first week, anyone signing up for an annual subscription will get 35% off for life! (Ends June 18)  URL on my profile  😊  #Scienc (https://www.tiktok.com/@distilledscience)
- [tiktok_distilledscience#292c34f9] original sound - distilledscience
- [tiktok_distilledscience#ff90bc76] Thanks to all who joined the #Science Post Contest! Check out the winner showcase here: https://vt.tiktok.com/ZMAf3xVgr/
- [tiktok_distilledscience#d60adfc2] It is a becoming a big trend on TikTok now! Click here: science
- [tiktok_distilledscience#d4cc6cb7] Check out Avisha |🧬Scientist Mythbuster’s video! #TikTok >
- [tiktok_distilledscience#6b7e645e] Search:
- [tiktok_distilledscience#784078c6] exaggerated startle response
- [tiktok_distilledscience#dd8d2d0d] What causes migraines? Other than people making wild claims on the Internet without any evidence to back them up….🤯 Ever had a migraine?

## 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=65, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=65, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=65, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=65, 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=65, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=65, 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=65, 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=65, 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=65, method=platform_profile

## Freshness
- profile_checked_days_ago: 65
- content_analysed_days_ago: 65
- audience_updated_days_ago: 65

## AI retrieval
- indexing_requests: 11
- 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_distilledscience
- Request removal: https://koinonlink.com/claim?k=tiktok_distilledscience
- Terms: https://koinonlink.com/for-ai