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  • Maybe not the best metric to use then.

    Wonderful demonstration of flawed methodology there:

    1. Pick a metric that demonstrates your viewpoint
    2. Be shown a data point that opposes your viewpoint.
    3. Discard the metric as faulty.

    You have a glittering career in medical testing ahead of you.

  • edit: previous message was a bit full on, but still, all I've done is admit my hypothesis might be wrong, if I wanted to be a bit of a stooge, I could say that I was utilising data from a given year with the same amount of riders in the field, and to accurately compare data when sample sizes are the same, I'd need to wait till the end of September this year.

  • Except people always drop out the Vuelta as their a sprinter or just wanted a little prep for the words.

    There are more than 1 reason (too hard) to drop out.

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