# Life at Universiti Malaya (@myunimalaya) on threads

- id: koinon:creator:threads_myunimalaya
- url: https://koinonlink.com/kol/threads/myunimalaya
- schema_version: 1.4

## Identity
- platform: threads
- handle: myunimalaya
- platform_url: https://www.threads.net/@myunimalaya
- website: https://linktr.ee/myunimalaya?utm_source=linktree_profile_share&ltsid=9a8683d8-e7e8-4c9f-91a8-721d6a7d17f5
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2881
- posts_observed: 1
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00521
- best_post_interactions: 15
- measurement_source: threads_post_likes
- measurement_formula: likes on one post (Threads exposes no reply or repost count on this path)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: 0.85
- category_source: derived_from_recent_content
- topics: UM校友社区与归属感, Master of Road Safety Engineering, Master of Safety, Health and Environment Engineering, 大学招生与专业推广
- bio: This is the official page of the Marketing and Recruitment Department (MRD), Universiti Malaya
Previously @studyunimalaya
Now @myunimalaya.

## Audience (inferred)
- status: present
- description: Universiti Malaya alumni and prospective students/professionals interested in master's programs in safety engineering and related fields
- roles: none
- seniority: learner
- pain_points: 选择合适的硕士专业以提升职业竞争力, 了解UM具体课程内容和申请要求, 保持与母校及校友的联系
- posts_analysed: 4
- confidence: 0.4

## 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: 38
- authenticity_basis: engagement_observed
- credibility_score: 38
- 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
- [threads_myunimalaya#620f7503] Wherever life has taken you after graduation, you'll always be part of the UM community. As a UM alumnus, 𝐲𝐨𝐮 𝐚𝐧𝐝 𝐲𝐨𝐮𝐫 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞 𝐟𝐚𝐦𝐢𝐥𝐲 𝐦𝐞𝐦𝐛𝐞𝐫𝐬 can enjoy up to 20% tuition fee discount. The offer is available for: 🔹 Foundation* 🔹 Diploma* 🔹 Bach (https://www.threads.com/@myunimalaya/post/DaUvhh1oAqR)
- [threads_myunimalaya#39222921] We’ll decide for you 😉
- [threads_myunimalaya#d3f777cf] The Master of Road Safety Engineering at Universiti Malaya is designed for professionals committed to creating safer transport systems and reducing road-related risks. This programme allows students to: 🔹 Understand road safety principles and practices 🔹 Analyse transportation 
- [threads_myunimalaya#02b24421] The Master of Safety, Health and Environment Engineer

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, 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=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=109, 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=77, 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=109, 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=109, method=platform_profile

## Freshness
- profile_checked_days_ago: 109
- content_analysed_days_ago: 77
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 8
- 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=threads_myunimalaya
- Request removal: https://koinonlink.com/claim?k=threads_myunimalaya
- Terms: https://koinonlink.com/for-ai