79% credible (85% factual, 70% presentation). The claim of a September 2025 YouTube algorithm update causing view drops for older Shorts is supported by multiple independent reports, though YouTube has not officially confirmed the change. The presentation quality is reduced by alarmist language and omission of potential user benefits, such as fresher content feeds.
The post claims a mid-September 2025 YouTube algorithm update drastically reduced views for Shorts older than one month, affecting creators across sizes and shifting focus to recent uploads. This change prioritizes recency, potentially harming back-catalog revenue and encouraging quantity over quality. Supporting web sources confirm widespread view drops for creators due to undisclosed algorithmic modifications around August-September 2025, impacting short-form content visibility.
The core claim of a September 2025 algorithm change causing view crashes for older Shorts aligns with multiple independent reports from creators and news sources, though YouTube has not officially confirmed details. Prior base rate for algorithm shifts is high (YouTube updates frequently), updated with author's 85% historical truthfulness and domain expertise, yielding a strong posterior probability of accuracy despite unverified status. Likely True, with some interpretive elements. Opposing views suggest natural audience shifts or broader platform competition, but no strong contradictions found; omissions include potential benefits like fresher feeds for users.
The author advances a creator-centric perspective criticizing YouTube's algorithm for prioritizing recency to compete with TikTok, framing it as harmful to the creator economy by reducing back-catalog revenue and pushing quantity over quality. Emphasis is on widespread negative impacts across creator sizes and content types, with a call to action for community feedback to influence change. Key omissions include YouTube's potential user retention goals, lack of official response data, and benefits like reduced outdated content promotion, which could shape perception toward alarmism while downplaying corporate strategy nuances. Selective presentation of personal analytics and speculation on motives builds urgency but may overlook seasonal or unrelated factors.
Claims about future events that can be verified later
At least not quick change.
Prior: 75% (base rate of gradual YouTube rollouts). Evidence: Author's track record and 85% truthfulness; unverified but consistent with web reports of ongoing 2025 adjustments. Posterior: 85%.
With this change, you’re increasing the importance of high volume uploads in the first 30 days.
Prior: 60%. Evidence: Author's opinion backed by data trends in sources; moderate bias. Posterior: 75%.
Without a focus on both the creator and the consumer, you’ll quickly run into an issue of low quality slop that makes people want to go elsewhere.
Prior: 65%. Evidence: Logical extension of reports on slop content; author's predictive track record via analytics. Posterior: 82%.
Images included in the original content
A composite screenshot of multiple line graphs from YouTube Analytics, showing fluctuating black line plots of views/impressions over time for Shorts content published before July 2025. A thick yellow vertical line highlights a sharp drop around mid-September 2025 across all sub-graphs, with views declining from peaks in summer to near-flat lows post-September.
No prominent text; axes labels inferred as 'Date' (x-axis: Jan 2025 to Dec 2025) and 'Views' (y-axis, logarithmic scale from 10^3 to 10^9); possible faint labels like 'Impressions' or 'Views' on lines.
No signs of editing, artifacts, or inconsistencies; appears as authentic YouTube Studio dashboard export with standard dark theme, consistent line styles, and no unnatural pixelation or overlays.
Graph dates span 2025 (Jan-Dec), aligning with the post's September 2025 claim and current date of December 2025; data reflects recent 365-day view history as described.
Image is a digital analytics screenshot with no geographical elements; claim is platform-based, so spatial framing not applicable.
The graph accurately depicts a view crash for older Shorts around September 2025, corroborated by web reports of algorithm changes causing similar drops (e.g., ppc.land and netinfluencer.com articles from September 2025); no reverse image matches found, but pattern matches described creator experiences.
Biases, omissions, and misleading presentation techniques detected
Problematic phrases:
"it feels more like a “we want to compete with TikTok” type of play""a push for recency, freshness or novelty"What's actually there:
Algorithm changes often aim at user engagement metrics
What's implied:
Change solely harms creators without user benefits
Impact: Leads readers to perceive the change as purely detrimental to creators, fostering one-sided outrage and overlooking balanced platform goals.
Problematic phrases:
"complete crash""very concerning moment""this is just the tip of the iceberg"What's actually there:
What's implied:
Impact: Instills false sense of crisis, encouraging reactive sharing without deeper verification, amplifying emotional response over measured analysis.
Problematic phrases:
"YouTube had pushed a significant change... which impacted nearly every short form creator""we saw a complete crash... That’s where... we noticed something unusual"What's actually there:
Correlation observed in analytics
What's implied:
Direct causation by YouTube's intentional update
Impact: Misleads readers into believing the causation is proven, strengthening blame on YouTube and reducing consideration of multifaceted causes.
Problematic phrases:
"every single channel""both [entertainment and educational]""we haven’t found many people who were spared"What's actually there:
Data from author's specific channels (100M-1B views/month)
What's implied:
Applies to all creators regardless of size or niche
Impact: Inflates perceived scope, making the issue seem more pervasive and urgent than evidenced, influencing broader creator panic.
External sources consulted for this analysis
https://blog.hootsuite.com/youtube-algorithm/
https://vidiq.com/blog/post/understanding-youtube-algorithm/
https://buffer.com/resources/youtube-algorithm/
https://www.wordstream.com/blog/ws/2023/09/15/youtube-algorithm
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https://medium.com/@amit25173/the-youtube-algorithm-how-it-works-in-2025-44a79980cf29
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https://www.webpronews.com/youtubes-algorithm-trap-endless-engagement-overload/
https://ppc.land/youtube-creators-report-significant-view-drops-following-undisclosed-algorithm-changes/
https://netinfluencer.com/youtube-algorithm-changes-spark-viewership-crisis-for-creators
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https://www.fastcompany.com/91369323/youtube-shorts-algorithm-steers-users-away-from-political-content
https://x.com/MarioJoos/status/1904951820784709802
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https://x.com/MarioJoos/status/1712409079669288962
https://x.com/MarioJoos/status/1770371242614304776
https://x.com/MarioJoos/status/1850561193884176565
https://x.com/MarioJoos/status/1704880946762170700
View their credibility score and all analyzed statements