# Forensic Chad (@forensicchad) on tiktok

- id: koinon:creator:tiktok_forensicchad
- url: https://koinonlink.com/kol/tiktok/forensicchad
- schema_version: 1.4

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

## Reach
- followers: 6151
- following: 1
- posts_observed: 3
- verified: false
- size_tier: nano

## 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: finance
- subcategory: personal_fin
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Forensic accounting case studies and fraud schemes, Cash flow vs revenue and cash conversion cycle, Small business financial red flags and internal controls, Real estate costs, HOA issues and foreclosures, Personal finance through a forensic lens
- bio: Forensic accountant & CPA. 30 years & 10,000+ cases.
↓ Books, guides & free resources

## Audience (inferred)
- status: present
- description: Small business owners, operators and finance staff focused on fraud prevention, cash flow and financial oversight
- roles: none
- seniority: decision_maker
- pain_points: Internal theft or payroll fraud going undetected for years, Strong revenue but persistent cash shortages, Rising insurance and property tax costs eroding profits, Misreading financial statements or accrual accounting effects
- posts_analysed: 40
- confidence: 0.75

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

## Quality signals
- authenticity_score: 41
- authenticity_basis: profile_shape_only
- credibility_score: 41
- 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_forensicchad#5d835fb9] A 10% revenue drop turned into a 40% profit drop — the owner thought it had to be a mistake. It wasn't. That's operating leverage, and it's one of the most contested numbers in a business interruption claim. Follow for more. (https://www.tiktok.com/@forensicchad)
- [tiktok_forensicchad#05ce5573] original sound - forensicchad
- [tiktok_forensicchad#3d51ab00] Check out Forensic Chad’s video! #TikTok >
- [tiktok_forensicchad#18c55bb9] A CFO stole $380,000 by exploiting the one system he fully controlled: payroll. He'd raise his own rate, run the check, then change it back — no trace. It started at just over $5,000 a year. By year six, it was $66,000 in a single year. What finally caught him wasn't an audit. It
- [tiktok_forensicchad#a5dedbd4] Foreclosures just hit a 6-year high — 119,000 filings in one quarter, up 26% from last year. It's not mortgage rates. Insurance is up

## 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=58, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=58, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=58, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=58, 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=58, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=86, 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=58, 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=86, 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=86, method=platform_profile

## Freshness
- profile_checked_days_ago: 86
- content_analysed_days_ago: 58
- audience_updated_days_ago: 58

## 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_forensicchad
- Request removal: https://koinonlink.com/claim?k=tiktok_forensicchad
- Terms: https://koinonlink.com/for-ai