Not sure if we should talk about "opinions" or "facts" or "anecdotal evidence" or "science". When discussing "calculators" we are talking about theoretical models, based on some assumptions. How well they map to the real world, depends on how valid the assumptions are, at the time of mapping.Looking at the "Jundo Predictor", it is based on one simple assumption: that 3 race times (two inputs, and one output) can be fully characterized by 2 "constant" parameters: I'll call them "speed" and "resistance (or endurance)". All other factors are negligible. What can possibly go wrong? It's not a bad basis, but:1) When you train, and how you train, changes your personal fitness, including speed and resistance. These factors are not "constant" over time. Therefore, you need to chose your inputs wisely.2) Things like "heat", or "race tactics", or "running 3 laps in lane 2", or "drafting", etc., can impact your time independently of your current fitness. In order to make the calculator useful with these times, you need to compensate, adjusting the real times to eliminate these biases.Giving "correct user input" means attempting to minimize, or better yet, compensate for all of these variables, so that all three times are the result of the expression of the same speed and resistance. (This is where "ventolin" spends a lot of his energy -- quantifying the cost of heat, drafting, running in lane 2, uneven splits, etc.)I can't comment about "stats.gangsta", but I will briefly mention "competing" models to highlight an important difference:1) Purdy -- based on speeds from 40m to 100km, compiled in 1936 from real performances (Portuguese scoring tables)2) Daniels' VDOT table -- based on O2 measurements and performances from many athletes, and number crunchedPurdy is better at comparing two specialists in their event, like Bolt to Bekele, while Daniels is better for an athlete who wants to predict a 10K race time from a previous 5K race time. While both might be used for the same purpose, they have different strengths and weaknesses. They are not the same tool.Just like you don't use a hammer to turn a screw, you need to pick the right tool for what you want to do, and you need to understand its limitations.Every model has errors. (This applies to everything -- not just "pace calculators"). It would be lazy to assume that "pace calculators" fail, because the error is always 0. The usefulness of any pace calculator depends on the user's ability to model, and compensate for the errors, rather than assuming there are none. You say "ventolin" and "stats.gangsta" can't both be right. In fact, in the real world, they will both usually be wrong. How wrong depends on the source and magnitude of errors in the inputs, and how well the assumptions of their models hold up when going from inputs to output.
Jundo wrote:
Malmo, that was my point exactly, they are different opinions, not facts. They are based on anecdotal evidence not science.
Also, Ventolin previously said that both his and Stats Gangsta's calculators would work for the same person, given 'correct user input'. I was proving that to be false.