27 Jun 2014 22:11
Critical thinking, like "evidence based training" is all the rage these days. That's great, if it was anything more than a couple of buzz-words. However, it seems that people in the fitness industry want to talk about good thinking, rather than do it. It's hard work. It's never-ending. It's kind of like deadlifts. There are those who do them, and there are those who shout "Booyah, arrrgh, deadlifts, BEASTMODE! Hardcore!" One of my main reasons for not believing that critical thinking is really something the fitness industry, at large, cares about, is that too many of its members do it selectively. In other words, they think about things they have a negative reaction to, and criticize those things, but when something happens to coincide with their general views, the thinking stops, even if it doesn't represent a credible "scientific" stance. One of these instances is anecdotal evidence, and "this works for me" prescriptions given by individual trainees, or better yet, celebrities who strength train or stay fit for movies, or what have you….
28 May 2014 20:49
In the Powerlifting community — and this has become synonymous with "Strength Training" — the new unspoken set of rules for economic success is to train hard, compete, set at least one World Record in some federation (there are about a hundred of those so pick something legit), write an eBook workout program, claim you use it for your "many" trainees and sell the hell out of it….
09 May 2014 22:17
This is not the first post where I talked about how numbers can easily impress and mislead us. I mentioned numbers and "proofiness" in The Data Dump in Fitness Information: Time to Get Back on Track. Another closely related post is Quantitative Measurements and Quality Evaluations.
Our [western] culture is a bit obsessed with measurement. In all sorts of fitness realms we see measurements - numbers - being assigned to things that cannot readily be measured, and sometimes things that cannot be measured at all. Numbers have, perhaps, too much power to impress. Science guys will tell you all about statistical significance, and maybe statistical correlation (a little on that below) but we can be mislead by much more mundane and easily understood numbers. It often starts with what we can and cannot measure. Before we begin, note that since this is about numbers, which I am not very good with, I could have screwed up some of the example figures. So, don't hesitate to let me know….