Tag Archives: statistics

New Fur Science! E-Book

You know how much we love data.  If data were a person (with apologies to Brent Spiner), we’d have a total crush on them.  We really like data.

So it is that we’re basically ecstatic to see the release of the Fur Science! e-book.

FurScience.com is the home for our wonderful friends over at the International Anthropomorphic Research Project, who has contributed to this site in several ways through the guise of Nuka/Courtney Plante.  The IARP does several studies through the internet and through conventions – and these are scientific studies, unlike our Furry Survey, which is primarily a market survey – and through the data that they have gathered, they’ve pulled together a fantastic resource for furries and non-furries alike.

Fur Science! cover text

The Fur Science! e-book is a fascinating deep dive into several of the studies that the IARP has done, ranging from demographics to therians and bronies, and everything in between.  If you like data just as much as we do, you’ll certainly enjoy paging through the 174 pages of graphs, charts, and explanations.  Hats off to Nuka and crew over at the IARP for pulling something like this together.

You can download the e-book for free as a PDF here, and check out the rest of IARPs information and offerings on their webpage.

Trade-Offs in Furry Research: [adjective][species] vs. The IARP

Guest post by Courtney “Nuka” Plante, PhD social psychology student at the University of Waterloo, furry, and co-founder of the International Anthropomorphic Research Project.

To paraphrase Lao Tzu: “There are many paths to enlightenment.” This statement is just as true of science as it is of philosophy or spiritual fulfillment. In science, knowledge is seldom gained through one perfectly-designed study that single-handedly topples all preexisting theories. Rather, the progress of science involves the convergence of dozens or hundreds of studies by numerous scientists, all with different approaches to the the topic at hand.

The reason science progresses this way becomes apparent as you delve into the empirical literature. Search as you might through the annals of scientific history, you will never find a perfectly-designed study. Every study has its confounding variables, alternative explanations, limitations in generalizability, problematic variable operationalizations; the list goes on and on.

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