Planning vs doing


Success in a cycling event is much more likely if you’ve previously ridden a bike. Image:

Lab work always benefits from planning. A good experimental design drawn from a solid hypothesis based on current literature is essential for good science. And yet all the planning in the world can’t prepare you for the reality of what will happen in the lab. Kind of like a triathlon.

My entire triathlon career consists only of two such events. Ok, mini events. Training for the first triathlon encompassed the two weeks between the actual event and me first hearing about it. Sure, I could have waited a year and actually put in some proper training. Or I could just wing it this time and learn for next time.

Due to several errors in judgement, I opted for the latter. The swim leg turned out to be less to do with swimming as attempting to breath in the seething, churning mass of bodies. The ride leg also wasn’t the best leg, with that event being my first time on a bike in over a decade. The part I most excelled at was the change-over. All my training efforts had gone into putting on my shoes quickly and that’s where I gained most ground. Probably not the best training strategy but at the time it was certainly the most feasible.

Ok, so I probably came about dead last in that event. But at least the practice had taught me a great deal about mini triathlons and about training properly for them. The following year, I was prepared, knew what to expect and finished in a respectable time.

Lab work is much the same in many ways.

No matter how detailed and thorough the planning, there is always something extra to consider. Usually it’s something that no one would ever think of and it won’t be obvious until you get in the lab and try it for the first time.

In theory, the proposed method should work. In reality it might not and this might be due to something as ridiculous as the lack of available glassware. Or that the piece of equipment required for one critical step happens to be in use for the next month.

Little things that can’t be imagined on paper can have a huge impact on experiments.

Proper experiment planning is essential. But before launching into the full experiment, just getting into the lab and trying out some new ideas can be enormously beneficial and time-saving in the long run.

Like actually riding a bike before a cycling event.