Is it possible that everyone analyzing torque in their power meter data is completely missing the point - are they so focused on trying to optimize their pedaling technique that theyre neglecting the actual mechanical efficiency of their equipment.
I mean, think about it - if youre using a high-end power meter thats supposedly accurate to within 1-2% and youre analyzing your torque data down to the smallest decimal point, but youre still riding on a bike with a poorly maintained drivetrain and mediocre components, arent you essentially wasting your time.
Ive seen people on this forum spending hours pouring over their power meter data, trying to shave off a few precious watts by optimizing their pedaling technique, but Ive yet to see anyone actually address the elephant in the room - the fact that their bike is probably costing them way more power than any amount of pedaling technique ever could.
And dont even get me started on the idea of optimal pedaling technique - whos to say whats actually optimal. Is it a smooth, round pedal stroke, or is it a more aggressive, punchy pedal stroke thats actually more efficient.
Ive seen people claim that their power meter data shows that theyre producing way more power than they actually are, simply because theyre not taking into account the mechanical losses in their drivetrain. And Im not talking about tiny losses, either - were talking about losses of 10-20% or more.
So, I ask you - are you actually looking at the bigger picture when it comes to your power meter data, or are you just getting caught up in the minutiae of pedaling technique. Are you actually trying to optimize your entire system, or are you just focusing on the smallest, most easily measurable part of it.
And another thing - whos to say that the power meters themselves are actually accurate. I mean, were talking about tiny, complicated devices that are supposedly measuring the most minute changes in power output, but how do we actually know that theyre accurate.
Ive seen people claim that their power meters are accurate to within 1-2%, but how do we actually know that. Have they actually been calibrated against a known standard, or are we just taking the manufacturers word for it.
And what about the software thats being used to analyze the data - is that actually accurate, or are we just seeing what the software wants us to see. I mean, were talking about complex