It’s a well-accepted approach in sports that the fastest way to a finish line is with negative splits—i.e. to get faster as the race progresses. In the ultrarunning community, this approach more resembles a sacred mantra than a mere guideline. Continue reading
I love thinking about numbers, and so there are few things more important to me than a proper appreciation of numbers and looking at them with an appropriate perspective. Scale can be hard to fathom. Especially when the numbers are very big or very small. Continue reading
In my first post in this three-part series on the biomedical system, I discussed the fundamental flaw in using ‘the best’ indiscriminately, without acknowledging that, more often than not, there is no universal, Platonic ideal. In this post, I’m going to explore how choosing our ranking system requires a deeper conversation about where it is that we, as a scientific community, want to be in twenty or thirty years. Continue reading
Academic biomedical research, by many measures, is not working very well right now. To be blunt, there just isn’t enough money to go around. Continue reading
I know that we both agree on this point: correlation does not mean causation. It’s an adage easy to remind ourselves whenever we see spurious correlations (as this pretty awesome site demonstrates).
But how about suggestive correlations? Those times when we can make a narrative about our data, when we can effortlessly turn that correlation into a causation?
Well, that’s a completely different ball game.
Soon after I started this blog, a family friend asked me to write a post about why I became a scientist. Pretty much all of those reasons lie with my mom and my dad, both very impressive scientists. And since today would have been my dad’s birthday, it seems like the right time to delve into his role. Continue reading