The Google Algorithm Update Correction Hypothesis

This is a hypothesis that Google takes you back to where you started before you started breaking the rules Google lays down in its spam guidelines.

The chart, titled “The Google Algorithm Update Correction Hypothesis,” uses a detailed traffic graph to illustrate how Google’s algorithms manage website traffic over time.

The Google Algorithm Update Correction Hypothesis (Shaun Anderson, Hobo) — The Google Algorithm Update Correction Hypothesis

If you are publishing content on the web, this is what you can expect if you break Google’s rules. Spam tactics work, until they don’t, as demonstrated in the image.

Here is a breakdown:

1. The Graph (Traffic Visualisation)

The Trendline: The chart shows a domain that initially grew into a “Bloated Entity” – a healthy site that eventually started producing low-quality pages via “Topical Authority Abuse”.
The “Correction Threshold”: A horizontal red line runs across the graph. This represents the “score” Google has assigned the entity based on its perceived quality.
The “Point 1” Reset: The hypothesis suggests that once Google scores a domain, its traffic is continually reset back to these “Point 1” levels during major updates.

2. The “Terminator” Algorithms

The chart highlights several sharp traffic drops labelled as “Terminator” updates:

Targeted Dates: Specifically mentions updates in October 2023 and March 2024.
Purpose: These are framed as algorithms designed to “take out small publishers that lack transparency” or correct spammy tactics.

3. Key Hypotheses & Annotations

Predictive Traffic: Annotation #2 states that Google “knows the amount of traffic you should have based on your quality score” and uses Core Updates to “correct” you back to that previous score.
The “Healthy Entity” Transition: The blue shaded area marks where an entity began its decline by prioritising quantity over quality, leading to the eventual “Correction”
Technical Dashboard: Image shows Hobo SEO Dashboard in Google Sheets, a spreadsheet-style interface with tabs like “Missing Alt,” “Internal Redirects,” and “Winners And Losers.”

This is a hypothesis.

Test it yourself on affected sites. Was the site “rolled back” to previous traffic levels in an update?

4. How To Fix It

Sorry, this one isn’t a repair manual; it’s a coroner’s report.

If you view it as a post-mortem, the logic becomes incredibly powerful for two reasons:

4.1. It Ends the “Fix-it” Delusion

The most dangerous thing for a business owner after a core update is the “tinkering phase” – spending six months changing meta tags, updating “last modified” dates, and disavowing links on a site that has already been fundamentally devalued.

The Post-Mortem Reality: The hypothesis tells you the patient is dead because the “life support” (algorithmic errors) was switched off. Acceptance allows you to stop wasting resources on a site that Google has decided has a ceiling of 10% of its former traffic.

4.2. It Defines the “Next Life”

A post-mortem tells you why something died so you don’t repeat the mistake.

Cause of Death: “Topical authority abuse” or “lack of entity connection.”
The Lesson: If you want to build a new site (or “reanimate” the old one), you can’t use the same DNA. You have to move from being a Search-Engine-First publisher to a Brand-First publisher.

The only way to deal with a site like this is to strip it of commodity/unhelpful content produced during the topical authority abuse period. Strip that out, and start again, focusing on more helpful, non-commodity content.

4.3. Why the SEO Industry Struggles with This

The reason many SEOs hate the “post-mortem” nature of this theory is that it kills their business model.

If a drop is a “penalty,” an SEO can sell you a “recovery service.”
If a drop is a “correction,” the SEO has to tell you that the party is over and you need to spend the next two years building a real company, getting PR, and generating non-search traffic.

4.3. The Brutal Truth

In this framework, the “peak” traffic many the sound of that bubble popping.

I also reviewed numerous sites during the Helpful Co sites saw in 2021–2023 wasn’t the result of great SEO; it was a bubble created by Google’s inability to distinguish between simulated authority and actual authority. The Correction Hypothesis is jusntent Updates.

See Google’s latest advice on non-commodity content and commodity content. Read Google’s Spam Policies.

See also “From ‘Faking It’ to the Algorithmic Glass Ceiling“. I discuss this more on LinkedIn – The Google Correction Hypothesis.