# Chicago Booth Review (@ChicagoBoothReview) on youtube

- id: koinon:creator:youtube_chicagoboothreview
- url: https://koinonlink.com/kol/youtube/ChicagoBoothReview
- schema_version: 1.0

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

## Reach
- followers: 365000
- posts_observed: 1
- verified: false
- size_tier: kol

## Engagement
- unit_note: engagement_rate is a ratio (0-1); the interaction fields are absolute counts.

## Content
- category: entertainment
- subcategory: edu_science
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: behavioral economics and decision making, AI impacts on business and society, media bias and information perception, policy effects on markets and inequality, leadership, happiness, and organizational behavior
- bio: Research-driven insights on business, policy, and markets. A Chicago Booth publication | chicagobooth.edu/review.

## Audience (inferred)
- status: present
- description: Business school students, alumni, and professionals seeking research-driven insights on economics, policy, and behavior
- roles: none
- seniority: learner
- posts_analysed: 40
- confidence: 0.75

## 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: 58
- credibility_score: 58
- grade: B
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [youtube_chicagoboothreview#p0] Why Colleges Drop Tests Even When They Help #shorts (https://www.youtube.com/@ChicagoBoothReview)
- [youtube_chicagoboothreview#p1] Why we don't learn from our mistakes #shorts
- [youtube_chicagoboothreview#p2] Why TikTok dances look better on repeat #shorts
- [youtube_chicagoboothreview#p3] Why AI could break the SaaS business model #shorts
- [youtube_chicagoboothreview#p4] Why parents are worried about AI and their kids #shorts
- [youtube_chicagoboothreview#p5] Why we choose not to know #shorts
- [youtube_chicagoboothreview#p6] Why great leaders admit when they're wrong #shorts
- [youtube_chicagoboothreview#p7] Why housing segregation still exists #shorts

## 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=17, method=follower_growth_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=17, method=platform_profile

## Freshness
- profile_checked_days_ago: 17
- 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=youtube_chicagoboothreview
- Request removal: https://koinonlink.com/claim?k=youtube_chicagoboothreview
- Terms: https://koinonlink.com/for-ai