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Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Causal Inference Scientist jobs? · Latest report #dkrksu8p
Your job has an expiration date
May 24, 2028
In 1 year, 7 monthsSolving for Y when X is just your ego, surprisingly easy.
Expert in turning messy correlation into expensive business guesses.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Turning random noise into definitive business strategy.
ow.you▸ CAUSALLOGIC ENGINE V4.2▸ RARITY · UNCOMMON▸ DEPRECATION IN 1 YEAR, 7 MONTHSAI's Special Power
eliminates confounding variables in milliseconds
You design experiments to measure causal impact and refine dynamic treatment regimes. Data enters, correlations masquerade as causation, and you write a paper.
The one thing AI can't do
You can still negotiate the impossible ethical constraints with a stubborn human stakeholder.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
System scans your historical experiments to map patterns of bias you consistently overlook.
Month 4
An agent generates valid DAGs and instrumental variable candidates faster than you can sketch.
Month 8
The system replaces your manual propensity matching with high-dimensional synthetic control groups.
Month 13
Your dynamic treatment logic is converted into a real-time feedback script for the product.
Month 19 · D-Day
The model proves its own causality and eliminates your need to interpret the results.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 97.5%
99.9%
Spurious Correlations Detected
Critical
P-Value Obsession Index
Sub-optimal
Human Intuition Accuracy
Your severance
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