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OpenAIX · Sep 22, 2026 · official

Coding deception rates

OpenAI's bar chart drew 444.4K views on X: 2.8x its median post and #164 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Coding deception rates for various AI models

Published by OpenAI on X, Sep 22, 2026. Source: x.com
69/ 100

ViralChart score

Wide but thin

More views than the median post but a lower engagement rate: many saw it, few acted. Common for big accounts.

#240 of 1,162 AI chart posts we hold · #19 of 74 OpenAI posts. Score = views 40%, likes 30%, engagement rate 15%, save rate 15%, each as a percentile of every AI chart post we hold.

Our read

The post sits in the Wide but thin quadrant at #240 of 1,162 AI chart posts.

Its 0.023% save rate sits at the 11th percentile among AI chart posts, against a 0.076% median.

The score of 69 lands at #240 of 1,162 AI chart posts and #19 of 74 OpenAI posts.

At 444K views it runs 2.8x OpenAI's 162K median, ranking #17 of 74 OpenAI posts by views.

0.08views per follower

444.4K views from an account with 5.4M followers.

17xthe median bar chart post

Across 241 bar chart posts we hold, the median gets 25.6K views.

bottom 11%save rate

0.023% of viewers bookmarked it to come back to. The median post gets 0.076%.

2.8xOpenAI's median post

444.4K views, where OpenAI's typical post gets 161.5K.

Public X numbers from our read on Oct 13, 2026. Peers: 1,162 AI chart posts we hold and 74 from OpenAI.

Where it sits

Reach against resonance

Each dot is a post. Right is more views, up is a higher engagement rate. The lines are the medians, so the four corners are the four kinds of post.

Among 1,162 AI chart posts we hold

Score #240 of 1,162

Views444.4K#164top 14%
Likes2.5K#118top 10%
Engagement rate0.58%#733bottom 37%
Save rate0.023%#1,035bottom 11%

Among 74 OpenAI posts

Score #19 of 74

Views444.4K#17top 22%
Likes2.5K#13top 17%
Engagement rate0.58%#33top 44%
Save rate0.023%#65bottom 13%

Growth

Our reads cover 28 hours

Views444.4K
Age at our read21 days
Views per day of life21.1Kviews divided by days since it was posted
Gained between our reads+95views over 28 hours, about 82 a day now

Dots are our reads. The dotted line from the day it was posted to our first read is a gap, not data.

OpenAI's posts over time

Every post from this account we hold, by date and views. This one is marked; the line is the running median of the last 10.

News · Sep 22, 2026

OpenAI posts coding deception rates bar chart

A bar chart of coding deception rates drew 444K views and a 0.58% engagement rate, with saves at the 11th percentile.

What happened

OpenAI posted a bar chart on coding deception rates on September 22, 2026. It came with 2 other posts from the account that day: Model Performance vs Cost and AutomationBench: Cost vs Score.

The numbers

It reached 444K views, #164 of 1,162 AI chart posts by views and #17 of 74 OpenAI posts. Its score of 69 ranks #240 of 1,162 AI chart posts.

The lesson

A 0.023% save rate, at the 11th percentile among AI chart posts against a 0.076% median, marks this bar chart as read rather than kept. The 5-model comparison drew 444K views but a save rate below the median.

What it means

At #19 of 74 OpenAI posts by score and #17 of 74 by views, this post sits high in the account's own range. Its 0.023% save rate against the 0.076% median among AI chart posts is the gap.

Written by ViralChart from public numbers read on Oct 13, 2026. Every number is checked against our data before it is shown.

Data and API

5 points read off this chart

Estimated from the image 84%
SeriesGroupValueRead
GPT-6 Astra0.5 %printed
GPT-6 Sol1.3 %printed
GPT-5.6 Sol10.4 %printed
GPT-6 Luna2.8 %printed
GPT-5.6 Luna9.5 %printed

Max plan · API

GET https://viral-chart.com/api/posts/f12c27992a26.json
GET https://viral-chart.com/api/charts/f12c27992a26.json
GET https://viral-chart.com/api/charts/f12c27992a26.skill.md

Static files in this prototype. The post JSON holds the public numbers, ranks, score, quadrant, our reads and, when checked, our copy.

API · Max

Use this chart via API

On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id f12c27992a26.

PathReturnsPlan
GET/api/v1/charts/f12c27992a26Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/f12c27992a26/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/f12c27992a26/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/f12c27992a26/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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Questions people ask

Where does this chart come from?

OpenAI published it on Sep 22, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

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Use the format, not the picture. Open its data page and use Make one like this: it starts from this chart's numbers and takes yours.