# Australia Institute (@TheAusInstitute) on x

- id: koinon:creator:x_theausinstitute
- url: https://koinonlink.com/kol/x/TheAusInstitute
- schema_version: 1.4

## Identity
- platform: x
- handle: TheAusInstitute
- platform_url: https://twitter.com/TheAusInstitute
- website: http://australiainstitute.org.au
- country: Australia
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 54827
- following: 2886
- posts_total: 34519
- posts_observed: 1
- posts_per_day: 6.206
- account_age_days: 5562
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00133
- best_post_interactions: 73
- 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: 0.85
- category_source: derived_from_recent_content
- topics: Tax reform and fairness, Gambling industry regulation, Political communication strategy, Think-tank policy research
- bio: Australia’s leading independent think-tank. 
Authorised by E Bennett, The Australia Institute, Canberra 2603

## Audience (inferred)
- status: present
- description: Politically engaged Australians interested in progressive policy, tax fairness, gambling regulation and government communication
- roles: none
- seniority: consumer
- pain_points: Perceived unfairness in the tax system, Large personal and societal losses from gambling, Political messaging that fails to reach voters beyond traditional media
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 85
- authenticity_basis: engagement_observed
- credibility_score: 85
- 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_theausinstitute#cb0f9031] "You would have to go back way before the noughties to find tax reforms that will make Australia fairer than Labor's reforms passed this week," writes @ebony_bennett, Deputy Director of The Australia Institute. Read the full article here ⤵️ https://t.co/h80UYIz4in https://t.co/XA (https://twitter.com/TheAusInstitute/status/2074001669512171539)
- [x_theausinstitute#46eb8541] Research by The Australia Institute has shown that Australians have lost over $104 billion to gambling in the three years. ✍️ Sign the petition to ban online gambling ads ⤵️ https://t.co/Uk1QHV9rS6 Read the Australian Institute report ⤵️ https://t.co/X8qzfmhuZ7 https://t.co/Xh5Y7
- [x_theausinstitute#893480cf] In the social media age, focusing on 'announceables' for TV doesn't go far in convincing voters. "If Albo wants to cut through, he has to cut through by doing big things people care about, and convince them those big things are going to make their lives better." #auspol https://t
- [x_theausinstitute#4af5b3c7] We’re excited to annou

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=108, 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=108, 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=108, 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: 108
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 9
- 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_theausinstitute
- Request removal: https://koinonlink.com/claim?k=x_theausinstitute
- Terms: https://koinonlink.com/for-ai