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People have a tendency to look for information to support their beliefs and ignore data that contradicts them.
Decades of psychological research have shown that people, regardless of political affinity, tend to embrace information that confirms their existing beliefs and disregard data that contradicts them.
In predictive coding, prior beliefs and sensory data are represented as probability distributions, with a mean value (expectation) and a precision (inverse variance).
The method that we describe here in detail uses prior beliefs and the data collected from the pilot study to calculate the probability of detecting a clinically meaningful difference.
As coaches, we help leaders become aware of and challenge their existing assumptions and beliefs, gather data on and evaluate the impact leaders are having compared to their intent, and support leaders in purposefully choosing actions to become more effective, resulting in improved outcomes.
The project is rooted in the belief that scientific codes and data should be "Open", and we are therefore focussing our efforts on using existing Open Source solutions and standards where possible, and then developing any additional tools within the project.
The qualitative coding process went through several rounds to enhance validity, however, the data analysis results can be subjective in that the PI reflected personal beliefs and theoretical views to data interpretation.
For some people, Facebook takes a guess at their political beliefs and "racial affinity". Those data points are then used to allow advertisers to target ads to the people who might be most likely to click on them.
Stories are far more effective at changing people's beliefs and behaviors than actual data are.
The other view insists that there is continuity between delusions and beliefs, and attempts to gather data both suggesting that people with delusions can reason in much the same way as people without, and that delusion-like ideas are widespread in the normal population.
Dean Baker's "think tank" is actually "reporting" and researching the facts behind our economic crisis unlike Peterson's money fueled organization, which spews its founder's personal beliefs and then manipulates the data to support them, all of which lead to the "creation" of the fiscal cliff to begin with.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com