# Philip DeFranco (@philipdefranco) on tiktok

- id: koinon:creator:tiktok_philipdefranco
- url: https://koinonlink.com/kol/tiktok/philipdefranco
- schema_version: 1.3

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

## Reach
- followers: 3716837
- following: 1257
- posts_observed: 5
- verified: false
- size_tier: kol

## Engagement
- status: average_measured
- engagement_rate: 0.11091
- engagement_rate_basis: average_interactions_per_view
- posts_in_average: 10
- avg_interactions_per_post: 22791
- best_post_interactions: 94082
- measurement_source: tiktok_posts_mean
- measurement_formula: digg + comment + share, mean over observed posts, divided by the mean play count of those same posts — on TikTok the algorithmic feed decides reach, so followers are not the denominator that describes what share of an audience engaged
- comparable_pool: view_based_interactions
- status_note: engagement_rate is a MEAN over the posts we observed (posts_in_average says how many).
- 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: news_media
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Breaking political news, Tech ethics and AI surveillance, Corporate accountability in tech, Government overreach and civil liberties, Social media controversies, Media bias and misinformation
- bio: Breaking News Here. Deep Dive Daily News on Spotify, YT, & Apple Podcasts.

## Audience (inferred)
- status: present
- description: General news consumers and politically engaged internet users, primarily young to middle-aged adults interested in current events, tech ethics, and social controversies
- roles: general_ai
- seniority: practitioner
- pain_points: Struggling to distinguish credible news from viral misinformation, Feeling overwhelmed by rapid-fire political and tech developments, Concerned about privacy erosion from surveillance and data collection, Frustrated by corporate and government overreach in digital and physical spaces
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: engagement_observed
- credibility_score: 58
- 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_philipdefranco#f4951a4f] Government Housing Tracking Residents With Minut Sensors (https://www.tiktok.com/@philipdefranco)
- [tiktok_philipdefranco#c82f4b8a] original sound - philipdefranco
- [tiktok_philipdefranco#e83bdb15] Check out Philip DeFranco’s video! #TikTok >
- [tiktok_philipdefranco#6b7e645e] Search:
- [tiktok_philipdefranco#2cf91d1d] minut home sensor
- [tiktok_philipdefranco#65f223fa] The NBA Just Nuked The Clippers Over A Secret Deal To Pay Kawhi Leonard
- [tiktok_philipdefranco#f91c7315] what did kawhi leonard do
- [tiktok_philipdefranco#9e3d3fb2] AI Billionaires Are Spending Millions To Sell You On The Data Centers You Rejected

## 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=25, 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=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=25, 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=25, method=platform_profile

## Freshness
- profile_checked_days_ago: 25
- 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_philipdefranco
- Request removal: https://koinonlink.com/claim?k=tiktok_philipdefranco
- Terms: https://koinonlink.com/for-ai