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Worst Youtubers - Quick Brand Risk Snapshot

If your team needs to move fast and avoid reputation hits, use our top 100 worst youtubers list to screen risky partners at a glance - filtered by audience quality, engagement anomalies, content relevance and geo-language fit. Start a free 7-day trial to analyze any creator deeper.
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Meet The Worst Youtubers Ever - Fast Risk Review

We analyzed channels, audience signals and content to pinpoint the worst youtubers for quick screening - each entry scored on fraud risk, engagement anomalies, audience match and campaign reach.
Last date updated: April 29, 2026 · 12:49.
To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers
  • Curious how our top 10 worst youtubers list exposes hidden brand risks?
    Explore the top 10 risks now - start a 7-day free trial with IQFluence
    Start now
  • Curious how our top 10 worst youtubers list exposes hidden brand risks?
    Explore the top 10 risks now - start a 7-day free trial with IQFluence
    Start now
  • Curious how our top 10 worst youtubers list exposes hidden brand risks?
    Explore the top 10 risks now - start a 7-day free trial with IQFluence
    Start now
  • Curious how our top 10 worst youtubers list exposes hidden brand risks?
    Explore the top 10 risks now - start a 7-day free trial with IQFluence
    Start now
  • Curious how our top 10 worst youtubers list exposes hidden brand risks?
    Explore the top 10 risks now - start a 7-day free trial with IQFluence
    Start now
  • Curious how our top 10 worst youtubers list exposes hidden brand risks?
    Explore the top 10 risks now - start a 7-day free trial with IQFluence
    Start now

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FAQs

We flag ten channels that trip our checks - dodgy audience patterns, wild ER spikes, off-brand topics and low real reach. Think of it as a quick quarantine list you can export. Want the full who are the top 10 worst youtubers breakdown and the raw signals? Fire up the 7-day trial and dig in.

Seasonal slump — viewers slow down after holidays, creators post less, and churn spikes. So when you're asking why is january the worst month for youtubers, IQFluence shows rolling L30D views fall, growth % stalls and ER looks unreliable — exactly the signals that raise seasonal risk.

Profiles and stats refresh in seconds after you paste a creator link, with rolling last-30-day views and other key metrics updating immediately for fast verification.

Yes. After signing in you can export vetted creator outputs—Profile Analysis (PDF & JSON), saved lists (CSV), Media Plan Builder as a live Google Sheet, and Campaign Monitoring exports (CSV/Excel). Exports require an account and are available from the platform’s share/export controls.

We convert raw likes, comments and view counts into platform-neutral signals by using last-30-day averages and posting cadence context. ER% is calculated as L30D (likes+comments)/followers with cadence adjustments; views are reported as min/avg/max from recent-post distributions for fair cross-platform comparison.

We flag irregular patterns by comparing each creator’s last-30-day engagement to their typical cadence and to cohort benchmarks - spikes, repeated identical comment clusters, sudden subscriber jumps, or inflated min/avg/max view ratios trigger higher fraud-risk scores. Semantic checks and audience-quality signals reduce false positives.
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