# @DistortionFPS (@distortionfps) on tiktok

- id: koinon:creator:tiktok_distortionfps
- url: https://koinonlink.com/kol/tiktok/distortionfps
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: distortionfps
- platform_url: https://www.tiktok.com/@distortionfps
- website: https://discord.gg/ByCBTDsk2
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 11885
- following: 1171
- posts_total: 730
- posts_observed: 3
- 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: gaming
- subcategory: pc_console
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Warzone ranked gameplay tips, MW4 beta meta analysis, Warzone mechanical skill improvement, Input delay and settings optimization, Weapon balance and meta builds, Player skill vs. game design flaws
- bio: #1 WARZONE TEACHER
@DistortionFPS on all platforms
Dm for BOOSTING 💵✅

## Audience (inferred)
- status: present
- description: Warzone players aiming to improve their ranked performance, primarily intermediate to advanced casual gamers focused on meta knowledge and mechanical skill
- roles: general_ai
- seniority: practitioner
- pain_points: Struggling with inconsistent input lag and frame timing on PS5, Frustrated by unbalanced weapon meta and fast TTK in MW4 beta, Confused about the impact of new mechanics like Omnimovement, Overwhelmed by rapidly changing meta shifts between seasons
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: profile_shape_only
- credibility_score: 53
- flagged_for_review: false
- koinon_bd_grade: B — 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_distortionfps#56d68002] Respect The three R’s #tipvideo #callofduty #warzone #howtogetbetteratwarzone (https://www.tiktok.com/@distortionfps)
- [tiktok_distortionfps#09d1ad3b] original sound - distortionfps
- [tiktok_distortionfps#7276e4b7] It is a becoming a big trend on TikTok now! Click here: tipvideo
- [tiktok_distortionfps#8bc82e1b] Check out @DistortionFPS’s video! #TikTok >
- [tiktok_distortionfps#81a73e05] Follow me if you want to get good at warzone…#callofdutywarzone #warzone #callofduty #warzonecontent #rankedplay
- [tiktok_distortionfps#49816751] Follow/like notification ding
- [tiktok_distortionfps#32738449] **^UPDATED SETTINGS** AT THE END^^ #fyp #settingsvid #warzone #callofduty #iridescent
- [tiktok_distortionfps#85f4cb3f] original sound - yng.swaey

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=44, 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=0, 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=44, 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=44, method=platform_profile

## Freshness
- profile_checked_days_ago: 44
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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_distortionfps
- Request removal: https://koinonlink.com/claim?k=tiktok_distortionfps
- Terms: https://koinonlink.com/for-ai