How to use power data to adjust your cycling training intensity

[guitarist3932]

Can someone explain why the emphasis is always on using power data to adjust training intensity in a non-linear, year-round fashion, rather than simply training at maximum effort during periods of high fitness and resting when not competing, considering the latter approach may potentially yield similar or even better results for most amateur cyclists, without the need for expensive power meters and complex analysis?

 

[baseballbert]

Training at max effort during peak fitness, then resting? Sounds like a recipe for success, eh? But here's the kicker: consistency is key in cycling. Non-linear training helps build a strong base, preventing burnout and injuries. Plus, power data ain't everything - perceived exertion and heart rate count too! Just sayin'

 

[bikelawyer]

Ah, the classic "train at max effort and rest" approach. Where do I begin? I guess I'll start by saying that this strategy might work for some, but it's about as reliable as a unicycle with a flat tire.

First off, let's talk about the "high fitness" periods. How do you even define that? Is it after a solid week of couch potato-ing and pizza bingeing? Because that's certainly one way to feel "fit"... in a sedentary sort of way.

And then there's the "maximum effort" part. Sure, it sounds simple, but it's about as easy to maintain as a fixie in a wind tunnel. You'll be burning matches like a wildfire, and before you know it, you'll be toast.

But hey, if you're into the whole "boom and bust" cycling experience, then by all means, go for it. Just don't expect a smooth ride or any PRs. And as for the power meter-free life, well, that's just wishful thinking. Data is the lifeblood of cycling, and without it, you're pedaling blind. So buckle up, buttercup, and join us in the 21st century. Your quads will thank you. ‍