If you want to slow growth, pick any limiting factor and apply pressure. One will do.
Sometimes a trend continues growing exponentially for a long time before bumping up against a limiting factor. The thing to remember about an S-curve is that if you plot it on a log scale the first half of the curve looks like a straight line all the way backward. That’s because it’s exponential growth at the beginning, so every new observation dwarfs all those that came before. Sometimes we spend a lot of time in exponential growth phase and people write articles about how it’ll go on forever, and The Singularity, and whatnot. When you don’t know the limiting factor, it’s very tempting to fit your model to exponential growth, only to get burned later on.
This points to the biggest contradiction for evidence-based medicine: it’s often at odds with personalized medicine. We like to say that the plural of anecdote is not statistics, but we squirm a bit when asked to contemplate that the opposite is also true.
Yet our best tools for understanding how the body works require n>>1 for us to learn anything meaningful. You can’t do statistics on a single event, be it an actual literal miracle or just an unexpected one-off effective treatment. How often do we directly observe the limits of our epistemic system, and then complain that reality isn’t adjusting to the tools we prefer to use for measuring it?