# Fair Election Fund (@FairElectFund) on x

- id: koinon:creator:x_fairelectfund
- url: https://koinonlink.com/kol/x/FairElectFund
- schema_version: 1.4

## Identity
- platform: x
- handle: FairElectFund
- platform_url: https://twitter.com/FairElectFund
- website: http://www.thefairelectionfund.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7779
- posts_total: 130
- posts_observed: 4
- posts_per_day: 0.141
- account_age_days: 921
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00026
- best_post_interactions: 2
- 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: software
- category_confidence: 0.4
- category_source: derived_from_discovery_path
- topics: Election fraud and corruption reports, ActBlue and Democratic donation practices, Court rulings on redistricting and voting, Scrutiny of political and corporate actors
- bio: We want to hear from concerned citizens who have witnessed fraud/abuse in our elections. Report corruption & you could be eligible for payment from a $5M fund.

## Audience (inferred)
- status: present
- description: Concerned US citizens and voters interested in election integrity, political corruption, and anti-Democrat accountability efforts
- roles: none
- seniority: consumer
- pain_points: Election fraud and abuse going unpunished, Illegal donations accepted by groups like ActBlue, Partisan redistricting and court battles over voting rules, Corporate and tax-code abuses shielding political influence
- 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: 56
- authenticity_basis: engagement_observed
- credibility_score: 71
- 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_fairelectfund#40ce76b1] Norm Eisen’s pay-to-play scheme is not advocacy; it’s a shakedown dressed up as charity, and it is an abuse of the tax code. https://t.co/ApYNeVaq8m (https://twitter.com/FairElectFund/status/2069062208382763523)
- [x_fairelectfund#80ed3431] 🚨 NEW: ActBlue CEO Regina Wallace-Jones DECLINED to answer ANY questions during a congressional hearing yesterday about accepting illegal donations without proper verification. We need accountability. https://t.co/g8kTufT7h7
- [x_fairelectfund#2ca7a711] 🚨WIN FOR VIRGINIA. The Virginia Supreme Court has struck down the Democrats' redistricting measure.
- [x_fairelectfund#6ff07fbd] Microsoft is finally facing real scrutiny in Washington — the Fair Election Fund's report highlighted some troubling behaviors by the company over the last few years. We documented how Microsoft's PAC blocked donations to 147 Republicans while Democrats who objected to election c

## 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=74, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=74, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=74, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=84, 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=84, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=128, 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=84, 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=128, 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=128, method=platform_profile

## Freshness
- profile_checked_days_ago: 128
- content_analysed_days_ago: 84
- audience_updated_days_ago: 74

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