Lizardmen are Not Constant - A Introductory Primer to Thinking about Survey Data
The quality of a survey is best judged not by its size, scope, or prominence, but by how much attention is given to dealing with the many important problems that can arise.-Fritz Scheuren, "What is a Survey?" American Statistical Association, 2004First a note on scope: this is a brief discussion meant to--hopefully--assist readers in thinking more clearly about how to look at survey data. I will not, however, innumerate all of the issues and considerations that should go into considering surveys. At the end, I include links to some freely available guides for survey research and best practices which I would recommend for anyone who has a greater interest in survey data. Largely such publications are aimed at researchers conducting surveys, but the guidelines provide strong reference points to other standing the things that should go into surveys.I would be remiss not to acknowledge the initial impetus for this 'primer' is comments that seem to apply the 'Lizardman constant'. Scott Alexander's own 2013 essay on the topic looks at examples from public opinion surveys ('polls') and draws an (almost) entirely correct conclusion (emphasis added): "When we’re talking about very unpopular beliefs, polls can only give a weak signal. Any possible source of noise – jokesters, cognitive biases,[1] or deliberate misbehavior – can easily overwhelm the signal. Therefore, polls that rely on detecting very weak signals should be taken with a grain of salt."There seems, however, to be issues as the catchy jargon and title "The Lizardman Constant is 4%" seems to be taken by some readers of Scott Alexander (I do not know whether or not he would endorse the view) to mean "badness is in pretty much every survey at nontrivial percentages" as "[a] constant is always present." At a foundational level, this--I fear--is a lazy, unhelpful way of thinking about survey data. It also is quite different from the attitude one Scott advocated in his essay: Scott's conclusion is focused on 'polls'[2