# Byline Times (@BylineTimes) on x

- id: koinon:creator:x_bylinetimes
- url: https://koinonlink.com/kol/x/BylineTimes
- schema_version: 1.4

## Identity
- platform: x
- handle: BylineTimes
- platform_url: https://twitter.com/BylineTimes
- website: http://www.bylinetimes.com
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 201023
- following: 2474
- posts_total: 211384
- posts_observed: 12
- posts_per_day: 71.053
- account_age_days: 2975
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00003
- best_post_interactions: 7
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- 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: news_media
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Reform UK political scandals, Big Tech and politics (Palantir), AI limitations and hallucinations, Independent media and journalism
- bio: Help us build the better - independent - media Britain deserves. Subscribe to the Byline Times news magazine: https://t.co/LvBukbZAoY

## Audience (inferred)
- status: present
- description: UK readers of independent investigative journalism interested in politics and Big Tech critiques
- roles: none
- seniority: consumer
- pain_points: Political conflicts of interest and corruption in UK local government, Big Tech influence on political parties and recruitment, Overhyped claims about AI capabilities and reliability
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: engagement_observed
- credibility_score: 88
- 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
- [x_bylinetimes#7bed2aff] “📌 ICYMI: Reform Council Leader’s Firm Advised £95 Million Project Which His Own Council Is a Partner In” ✍️ @josiahmortimer https://t.co/ZwoiprrWgq (https://twitter.com/BylineTimes/status/2068250987224043804)
- [x_bylinetimes#135c9434] 🟡 From This Month’s Magazine Reform UK and Big Tech Palantir Co-Founder Peter Thiel’s ‘Political Pipeline’ Recruitment Project at the World-Renowned University Revealed By Byline Times raising The academic institution has nothing to say in response to a six-month investigation b
- [x_bylinetimes#8f9fbca3] ✒️ AGAINST THE ALGORITHM Yes, Androids Do Dream of Electric Sheep (Edition 88) Peter Jukes explores how the hallucinations of AI reveal that machines can never match the power of the human unconscious In Ridley Scott’s 1982 film Blade Runner – set in a dystopian 2019 – artificial

## 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=108, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 77
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 7
- 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=x_bylinetimes
- Request removal: https://koinonlink.com/claim?k=x_bylinetimes
- Terms: https://koinonlink.com/for-ai