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Avoid Confirmation Bias
“If you torture the data long enough, it will confess to anything" said British Economist, Ronald H. Coase. One of the things that really separates "good" versus "great" analytics teams is their ability to deal with data biases, in particular Confirmation bias.
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Lift with Loops Release Impact at Atera
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Whitepaper. Measuring the Causal Effect of Product Launches
Published on
July 17, 2024
About Company
A New Paradigm for Product Analytics Teams
How to leverage causal inference models.
Understand causal insight accuracy versus A/B tests.
Learn how to make impactful decisions with less traffic, time, and cost.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Medium length title goes here
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