The YouTube Shadow Banning Situation

Summary

The video creator argues that their YouTube channel has been “shadow banned” (or otherwise prevented from reaching audiences), based on analytics patterns that they say don’t match typical underperformance.

Key points and analysis

• Normal performance metrics, but views drop

  • Over the past ~10 days, the creator says their videos “bombed” in views despite strong engagement indicators.
  • Click-through rate (CTR) is strong (example cited: 18.2% CTR, among their highest).
  • Watch time/retention is normal—viewers who click still watch for about the usual amount.
  • Impressions (reach) collapse is the primary anomaly: impressions appear to flatline shortly after upload, suggesting YouTube isn’t distributing the videos to audiences.

• “Shadow ban” explanation they believe fits the data

  • The creator initially assumed the problem was on their side (e.g., bad titles/thumbnails, weaker content, low retention), but analytics contradict that.
  • They connect their experience to reports from larger creators who claim YouTube accidentally “shadow-bans” channels it misidentifies as AI-generated (“AI slop”).

• A suspected catalyst on their channel

  • They report receiving a YouTube/AdSense-related notification that their payment account was disconnected.
  • They believe this occurred after they:
    • linked an additional US news channel to the same AdSense account, and
    • completed verification.
  • They claim the channel then “fell off a cliff” in views afterward.

• Comparison to their smaller US channel

  • The creator notes that their US channel (about 5,000 subscribers, recently created) is outperforming their much larger main channel (about 100,000 subscribers) on similar topics.
  • They claim the US channel videos are reaching far more people (about “15 times” more reach).
  • They interpret this as evidence that distribution on the main channel is being throttled.

• Recommendations allegedly being mis-targeted

  • They claim their videos no longer appear in recommended contexts alongside relevant channels.
  • Instead, they say the videos show up in unrelated topic spaces and geographies, implying a broader malfunction in recommendation targeting.

• Broader platform issues

  • The creator points to other recent YouTube problems affecting creators (e.g., pinned comments, comment counter issues, like/dislike ratio inaccuracies, comments disappearing).
  • Their conclusion is that multiple systems may be changing or broken, making it difficult to pinpoint a single cause.

• Why they think it’s not simple creator error

  • They tested different titles and thumbnails repeatedly, expecting reach to respond.
  • But they say changing metadata no longer changes reach, which they contrast with typical behavior where better titles/thumbnails usually improve performance.

Call for awareness and possible accountability

The creator isn’t claiming they “deserve views regardless.” Instead, they argue the analytics show the content itself performs, and that the issue is primarily distribution.

They believe the problem may affect not only them but potentially other (possibly larger) channels too, and they ask for viewers’ ideas while hoping YouTube resolves it.

Presenter / Contributor

• The video creator (single presenter; name not provided in the subtitles)