# Lose por José (@loseporjose) on tiktok

- id: koinon:creator:tiktok_loseporjose
- url: https://koinonlink.com/kol/tiktok/loseporjose
- schema_version: 1.4

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

## Reach
- followers: 1808174
- following: 7
- posts_observed: 2
- verified: false
- size_tier: kol

## Engagement
- status: average_measured
- engagement_rate: 0.0468
- engagement_rate_basis: average_interactions_per_view
- posts_in_average: 10
- avg_interactions_per_post: 288668
- best_post_interactions: 1005470
- 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: finance
- subcategory: personal_fin
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Deuda y buró de crédito, Salir de la pobreza en México, Finanzas personales y dinero, Desigualdad social y sistema económico, Consejos prácticos sobre crédito y riqueza
- bio: Miembro del podcast Hágale como quiera 
Director de Luz Noticias
Instagram / loseporjosemx

## Audience (inferred)
- status: present
- description: Mexican middle-lower or lower-income individuals with credit card debt, concerned about getting out of credit bureaus and escaping structural poverty
- roles: consumer
- seniority: consumer
- pain_points: Unable to pay credit card debts and fearing legal consequences or damage to credit score, Stuck in poverty despite working hard due to systemic barriers, Lack of clear information about personal finance and how to improve their economic situation, Feeling that the system is designed to keep them poor
- posts_analysed: 17
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.1
- 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_loseporjose#3abbf368] Podcast completo : Hágale como quiera (https://www.tiktok.com/@loseporjose)
- [tiktok_loseporjose#792fe94c] cómo salir del buró de crédito #deuda #credito #dinero #parati #mexico
- [tiktok_loseporjose#e5e93f01] original sound - loseporjose
- [tiktok_loseporjose#f7430370] It is a becoming a big trend on TikTok now! Click here: deuda
- [tiktok_loseporjose#68c7d44f] Check out Lose por José’s video! #TikTok >
- [tiktok_loseporjose#567bd36a] Episodio completo: Youtube
- [tiktok_loseporjose#b14737fa] Spotify “Los malapaga no van a la cárcel” ep.2 - Asi como Suena En la historia nadie ha ido a la cárcel por deber dinero a una tienda o a un banco #asicomosuena #credito #credit #carcel #mexico🇲🇽
- [tiktok_loseporjose#14a26abc] Este es el secreto para salir de la pobreza  #parati #mexico #fyp #dinero #rico

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=52, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=52, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=52, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=52, 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=52, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=99, 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=52, 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=99, 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=99, method=platform_profile

## Freshness
- profile_checked_days_ago: 99
- content_analysed_days_ago: 52
- audience_updated_days_ago: 52

## AI retrieval
- indexing_requests: 10
- 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_loseporjose
- Request removal: https://koinonlink.com/claim?k=tiktok_loseporjose
- Terms: https://koinonlink.com/for-ai