Keith Coleman 🌱😀🙌 (@kcoleman)
@kcoleman
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OK let’s try this:
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Pretend you’re 5 and the algorithm is a smart robot that picks which toys (posts) to show you in your toy box (For You feed).
The robot doesn’t just count how many times people already played with a toy (likes, reports, etc.). Instead, it looks at you and guesses:
• “How likely is this kid to like this toy?”
• “How likely is this kid to report this toy as yucky?”
• “How long might this kid play with it?”
Those guesses are little numbers between 0 and 1 (probabilities).
The “weights” are like special multipliers the robot puts on those guesses:
• A like-guess might get multiplied by a small number (like 0.5).
• A report-guess might get multiplied by a big negative number (like –234).
Then the robot adds all those multiplied guesses together to give the toy a final “yay or nay” score and sorts the toys by that score.
Why the numbers look so big and why people get confused
Reports almost never happen, so the robot’s “will you report this?” guess is usually a tiny number (like 0.0001). To make that tiny guess still matter a little bit in the final score, they give it a big multiplier.
People sometimes look at the big number and think “1 report = 468 likes!”
That’s wrong. It’s not counting real reports or real likes. It’s only multiplying the guesses the robot made about you.
If the robot thinks you’re the kind of person who almost never reports anything, even a big weight on “report” barely moves the score. The whole thing is personalized to how you usually behave.
The people who wrote the code even put big comments in the GitHub repo so no one (and no other robots) gets confused about this again.
That’s the whole idea in kid words: the weights turn the robot’s personal guesses about you into a ranking, not a simple “count the hearts and flags.”
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"I used to always wonder about my reach and visibility and was convinced something was wrong with my account. But it turns out my assumptions were wrong."
Now you can check & verify.
I have a clean Under the Hood report for the month of July! 🥳
I used to always wonder about my reach and visibility and was convinced something was wrong with my account. But it turns out my assumptions were wrong.
According to my Under the Hood report, X found zero labels on my account or any of my posts that would have limited my reach during July.
That means nothing in the system flagged my account or content in a way that reduced its distribution in the For You feed.
My posts were not subject to any of the visibility restrictions tracked by the report.
So for the entire month of July 2026, I had a completely clean Under the Hood report: zero reach-limiting labels at either the account or post level. 🥳
Sometimes low reach really is just… low reach. 😅
I just love this new feature. It gives us a little more transparency into what’s actually happening with our accounts instead of leaving us guessing.
Curious to know what you think about the new Under the Hood feature so far.
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Best demo I’ve seen yet — it’s this easy 👇
𝕏 is the most transparent platform on the internet.
I was able to see if my account or posts were being suppressed, understand the exact reason for any visibility limits, and even download the full report.
Here’s how easy and transparent it was 👇
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You know how everyone started seeing their friends in the timeline a few weeks ago?
With our new open-source code base, you'd also have been able to see what changed under the hood -- here's the story:
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“Am I shadowbanned?”
“Is X fair?”
“Why am I seeing this post?”
We want the public to be able to answer these themselves. Today we’re giving an unprecedented level of transparency into the X algorithm so people can audit, critique and even help improve it. Enjoy & send feedback.
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