In threads where training philosophy comes up, discussions of TRIMPS and TSS and other training models occasionally intrude. These models are not very well known, and even more poorly understood, so probably SolarEnergy, qbrain and I are just talking to each other and killing threads in those conversations. In any case, I figured I would present a brief overview of what it is that we're talking about when this terminology starts showing up.
Best case, this will introduce these models to the subset of swimmers (or coaches) who would be interested enough to use them, but didn't previously know enough to do so.
Plus, even if you're not the type to be interested in quantifying your training, it can be useful to think about workouts in this general framework.
And, at the very least, this might serve as a place to discuss some of the details without worrying about driving those other threads too far off-topic.
How did I miss this thread?
I have been using these models for a few years now and love this stuff!
FYI, the best available public paper on this is here, www.ncbi.nlm.nih.gov/.../
The paper is put forth as showing all the problems with the model, notably wide confidence intervals around the parameter estimates of Tn and Tg, what I call the drop dead day (the day after which exercising will only make you slower at the big race, theoretically) and the time of greatest benefit. However, even in this case of a relatively homogeneous group of swimmers, there are several instances of swimmers parameter estimates being outside each others' confidence intervals.
In practical terms that means that if one followed the taper of the other, then they would have a sub optimal response.
You can actually do these models for yourself and see how you respond to a taper. So you can find your own proper taper length.
How did I miss this thread?
I have been using these models for a few years now and love this stuff!
FYI, the best available public paper on this is here, www.ncbi.nlm.nih.gov/.../
The paper is put forth as showing all the problems with the model, notably wide confidence intervals around the parameter estimates of Tn and Tg, what I call the drop dead day (the day after which exercising will only make you slower at the big race, theoretically) and the time of greatest benefit. However, even in this case of a relatively homogeneous group of swimmers, there are several instances of swimmers parameter estimates being outside each others' confidence intervals.
In practical terms that means that if one followed the taper of the other, then they would have a sub optimal response.
You can actually do these models for yourself and see how you respond to a taper. So you can find your own proper taper length.
