Now, on to predictability. 1) A game of quizbowl is, in effect, a quasi-random sampling of the entire corpus of human knowledge. A distribution is an attempt to direct this sampling, although each distribution has built-in assumptions of what is worth asking about. 2) Each packet, therefore, is a different sample. It stands to reason that success on one packet does not guarantee success on another packet. I would argue that the realm of knowledge is sufficiently wide to allow for this. 3) The goal that the outcome of a particular match-up ought not to vary no matter which packet is used from a give set is an unreasonable. Although wide variations in talent level make certain matchups likely to be totally one-sided, for many match-ups, the possibility of what one would call an upset exists as a non-negligible probability. That is, one team may be clearly better, but will win, on average, eight games in a series of ten. 4) Writing to explicitly prevent an upset is as bogus a proposition as writing to explicitly cause one. In either case, you are playing favorites. 5) Even if outcomes were not affected by packet, other variables exist. One team may play well in ne game and poorly the next game, due to causes unrelated to the packet used. Players are prone to psychological and physiological effects, for example the effect of eating (or not eating) lunch or being in the same room as someone you dislike. 6) Therefore, while winning a prior game has some predictive value, it does not have a total predictive value for a rematch. 7) Bottom line: get tossups and just win, baby. >CWRA > OSU: 465-0 >PitA > OSU: 330-155 Each packet is different. Teams match up differently. using scores against a single common opponent suffers from the error of using a small sample size. For example, both teams cited played OSU twice. The scores left out are, according to the website PitA 370-OSU 110 and CWRA 330-OSU 55. >PitA > CWRA: 485-85 >CWRA > PitA: 310-160 In ameliorating the problem of small sample size, each team cited played the same teams, including the same teams twice, save for having each other on the schedule. A decidedly better and statistically sound, though less dramatic, argument would be to cite overall points per game or to do a stricter analysis on an opponent by opponent basis. [snip a few other scores] >Honestly, our loss to Case in the playoffs gave me a surreal mental feeling. It was like a parallel universe, or like I couldn't tell what was a dream and what was reality. To be more specific, I felt that way at halftime when we were trailing 210-20. So, basically, you felt out of it because you were having your collective asses handed to you in that game. Did you go in overestimating yourself or underestimating your opponents? Is quizbowl a game or a short story by Borges? The good teams can stop someone every once in a while. The great teams are the ones who can come from behind when they're down big at the half to a good team. Anthony de Jesus, deconstructing quizbowl
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