# TheDataBoys (@thedataboys) on tiktok

- id: koinon:creator:tiktok_thedataboys
- url: https://koinonlink.com/kol/tiktok/thedataboys
- schema_version: 1.2

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

## Reach
- followers: 220905
- posts_total: 256
- 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: finance
- subcategory: personal_fin
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: US economic indicators and inflation breakdowns, Drug overdoses and fentanyl deaths, Generational wealth and housing price divergence, Political and government statistics, Public health and suicide rates, Historical comparisons on energy, wars, and policy
- bio: Data will talk if you are willing to listen.

## Audience (inferred)
- status: present
- description: Data-curious general audience interested in US statistics on economy, inequality, public health, and politics
- roles: data
- seniority: consumer
- pain_points: Making sense of how inflation, housing, and wages have diverged across decades and states, Tracking the scale of drug overdoses, veteran suicides, and other public health crises with hard numbers, Understanding generational wealth gaps and who actually owns America, Getting clear historical context on oil dependence, wars, and policy impacts without spin
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 66
- authenticity_basis: profile_shape_only
- credibility_score: 66
- flagged_for_review: false
- koinon_bd_grade: A — 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_thedataboys#c00eb28e] A'ja Wilson just signed the first $1,000,000+ contract in WNBA history — $1.4 million a year under the league's brand-new players' deal. For 29 years the number barely moved: the top WNBA salary was $50,000 in 1997 and still just $249,244 LAST season — while the NBA's *minimum* p (https://www.tiktok.com/@thedataboys)
- [tiktok_thedataboys#5f300ce3] All Of The Lights
- [tiktok_thedataboys#72a31d83] Welcome to the #WNBA community on TikTok. Get ready to score buckets with the #WNBA's best as we get ready for the WNBA All-Star Game on TikTok.
- [tiktok_thedataboys#5c2476d0] It is a becoming a big trend on TikTok now! Click here: wnba

## 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=42, 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=42, 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=42, method=platform_profile

## Freshness
- profile_checked_days_ago: 42
- 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_thedataboys
- Request removal: https://koinonlink.com/claim?k=tiktok_thedataboys
- Terms: https://koinonlink.com/for-ai