In my first year of beekeeping I started with five purebred queens, all from the same breeding line, all mated at the same mating station. Same hives, same feed, same treatment. I thought I’d do the same thing on every visit, colony after colony, like a production line. Yet within a few weeks the five colonies drifted further and further apart.
It started with small things - one colony sat further to the left in the hive, another further to the right. Some drew out the foundation quickly, others only partially. And even though I fed all the colonies the same amount, they came out of winter in completely different shape: one colony had gone drone-laying, one was very weak, and three were doing fine.
That’s when I remembered a book I’d devoured as a teenager - “Turbulent Mirror: An Illustrated Guide to Chaos Theory and the Science of Wholeness” (published in German as “Die Entdeckung des Chaos”) by John Briggs and F. David Peat. What grabbed me about that book: chaotic systems aren’t random, they’re deterministic - every step follows clear rules - but extremely sensitive to variations in the starting conditions. Tiny, practically unmeasurable differences grow over time into completely different outcomes. That’s exactly the effect I saw with my colonies. Maybe one of the queens was mated on a better-weather day, maybe a handful more or fewer nurse bees made a difference in the early phase. Maybe it was the order in which I hived the colonies that first day. I’ll never be able to trace any of it - and yet it has consequences that build up over weeks.
What became famous in this context is the so-called butterfly effect - a thought experiment in which a butterfly flapping its wings in Brazil can set off a tornado in Texas. There’s a really well-made video on the topic by 100SekundenPhysik (in German).
For me as a beekeeper, that has an almost reassuring side. It takes the pressure off having to explain every outcome. I measure, document, compare - but if one colony develops differently from its neighbor despite my having, as far as I can tell, done everything the same, that’s not necessarily proof of a mistake on my part. A bee colony is a highly complex system of tens of thousands of individuals constantly communicating with and influencing each other - a textbook example of exactly the kind of system chaos theorists study.
The practical consequence I draw from this: look at each colony individually, don’t manage rigidly by the book. Every colony gets its own assessment, regardless of what the neighboring colony at the same apiary happens to be doing. But that’s not a license to skip documentation, methodical work, and best practices - because even though some parameters in a colony’s development are hard to predict, there are, conversely, plenty of well-known beekeeping mistakes that have long been described and can be avoided, if you keep careful records.
And a bit of humility doesn’t hurt either. When I believe I’m the one steering my bees - in the end it’s probably the other way around more often than not.