Ignoring causation caveats, entire dev team samples “yummy fruit” with fatal results
Description
Four-panel stick-figure comic with simple black line art and bright magenta ovals on a white background. Panel 1 (top-left) shows a crowd of smiling stick people gathered around several magenta ovals on the ground; one happy figure holds an oval to its mouth while the caption above reads “yummy fruit”. Panel 2 (top-right) depicts the same crowd now frowning as one figure lies on the ground with Xs for eyes next to the magenta ovals. Panel 3 (bottom-left) has the crowd smiling again while one points to the scene and the caption “correlation does not equal causation” appears overhead - even though the corpse is still present. Panel 4 (bottom-right) shows multiple stick figures now dead, sprawled among more magenta ovals. The meme satirizes the common statistical warning that correlation alone cannot prove causation; by ignoring that principle, everyone continues the experiment and suffers catastrophic ‘production’ failure - an analogy familiar to data scientists and engineers who rely on A/B testing, causal inference, and post-incident learning
Comments
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Canary cohort drops to zero, p-value is 0.06; Product says “statistically insignificant - roll to 100%.” SRE adds a new KPI: users_alive p95
After analyzing our A/B test results for three months, we finally discovered the purple fruit feature wasn't driving user retention - it just happened to be the only thing left after everyone who could quit already did
This is every ML engineer's nightmare when stakeholders see two trending lines and immediately demand a predictive model - only to discover later that both metrics were actually driven by a third variable no one thought to instrument. It's the data science equivalent of debugging for hours only to find the real issue was a completely different service that nobody mentioned in the incident channel
A/B test shows 300% engagement lift from new button color - causation? Nah, just uncontrolled for pizza Fridays
Enterprise causal inference: if correlation threatens the roadmap, the HIPPO declares it not causation, cancels the RCT, and ships - postmortem-ready
A/B test shows the treatment cohort keeps dying; PM: “correlation ≠ causation.” SRE: “Perfect - let’s ramp to 100% and establish causality.”