# tutor2u (@tutor2uofficial) on tiktok

- id: koinon:creator:tiktok_tutor2uofficial
- url: https://koinonlink.com/kol/tiktok/tutor2uofficial
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: tutor2uofficial
- platform_url: https://www.tiktok.com/@tutor2uofficial
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 13211
- following: 9
- posts_total: 815
- posts_observed: 6
- verified: false
- size_tier: koc

## 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: entertainment
- subcategory: edu_science
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: A-Level macroeconomics key concepts, UK economic issues (minimum wage, cost of living, recession), Economic growth and aggregate demand, Exam preparation and Examiner AI tool

## Audience (inferred)
- status: present
- description: UK A-Level Economics students preparing for exams, mainly 16-18 year olds studying macro topics
- roles: none
- seniority: learner
- pain_points: Struggling to grasp core macro concepts like AD, inflation and unemployment for Paper 2, Needing quick revision tools and exam technique for A-Level/IB economics, Lack of practice marking and feedback on exam-style questions
- posts_analysed: 19
- 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: 54
- authenticity_basis: profile_shape_only
- credibility_score: 54
- 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_tutor2uofficial#28e29ec0] UK Supply Side Policies | 60 Second Economics Use these in your Paper 2 macro where relevant #aleveleconomics #tutor2ueconomics #economics #alevels #tutor2u (https://www.tiktok.com/@tutor2uofficial)
- [tiktok_tutor2uofficial#3ae98df3] original sound - tutor2uofficial
- [tiktok_tutor2uofficial#76e6939c] It is a becoming a big trend on TikTok now! Click here: aleveleconomics
- [tiktok_tutor2uofficial#f1704bd0] Check out tutor2u’s video! #TikTok >
- [tiktok_tutor2uofficial#6b7e645e] Search:
- [tiktok_tutor2uofficial#c22d217a] macroeconomics paper 2
- [tiktok_tutor2uofficial#b7b982f6] Macro Effects of a Higher UK Minimum Wage I 60 Second Economics A higher minimum wage boosts aggregate demand through increased disposable income for low-earners. However, it risks cost-push inflation as firms pass on higher labor costs. While it incentivises productivity via aut

## 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=53, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=53, 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=53, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=93, 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=53, 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=93, 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=93, method=platform_profile

## Freshness
- profile_checked_days_ago: 93
- content_analysed_days_ago: 53
- audience_updated_days_ago: 53

## 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_tutor2uofficial
- Request removal: https://koinonlink.com/claim?k=tiktok_tutor2uofficial
- Terms: https://koinonlink.com/for-ai