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Pete Copeland's avatar

Hi Chris,

As a scientist with 40-year’s experience, including being editor of two journals, I'd say your characterization of consensus-followers is wrong as is the suggestion that we can best expect to move forward because of "reformers". At the very least, this gives a false impression.

First, It seems to me anyone who call themselves a reformer has an agenda of change for change’s sake, else there is no need for reform. Charging onto the battlefield under the banner of reform is not being open minded. Understanding the shortcomings of current explanations is not reform. Neither is the recognition of new data for their ability to falsify old notions.

Secondly, folks who are keen on consensus are not slaves to the status quo. They are happy to change when the consensus suggests it would be wise to do so. This sometimes means that change for the good may be slow in coming (progressing sometimes one funeral at a time) but it almost always means that rapid swings from one bad idea to another are avoided.

I don't know a lot about the history of medical science but in my field, earth and space science, "reformers" don't make much of a difference, It's folks that know what the important questions are and how to test them (with properly formulated scientific methods) that move things forward. This is mainstream science. It is not in need of reform.

Dan Yoakam's avatar

The following excerpt is from “Reproducibility of Research – Do We Have a Problem Houston?”

The Column, 19 January 2016 Volume 12 Issue 1

Even the most ethical of researchers are susceptible to self-deception; outlined below are a few of the reasons why:

●Hypothesis Myopia — A natural inclination to favor only one hypothesis and look for evidence to

support it, while playing down evidence against it…

●Sharpshooter — Fire off a random series of shots, then draw a target around the bullet holes to ensure the highest number of bullseyes.

●Asymmetric Attention (Disconfirmation Bias) — Giving the expected results smiling approval, while unexpected results are blamed on experimental procedure or error rather than being accepted as a true challenge to your hypothesis.

●Just-So Storytelling — Finding rational explanations to fit the data after the fact. The problem is, we can find a story to fit just about every type of data. Also known as JARKing — “justifying after the results are known” —because it’s really difficult to go back and start again once we are at the end of the process.

●The Ikea Effect — Everyone has a vested interest in loving the furniture they built themselves.

I view your definitions of a Consensus-follower and a Contrarian as two sides of the same coin. They both suffer from Hypothesis Myopia.

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