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BW, I know you set this up to prove that the system doesn't work, but to me it seems like it does. Any given week it may be off, but over a whole season it seems to ring pretty true.
It does ebb and flow. But just using this week as an example, I wouldn't have OSU or UCF in my top 5. I've watched the games, and I can reasonably judge each team's strength of schedule. Heck, I'm not sure UCF would be in my top 20. Memphis certainly wouldn't be in my top 15.
I guess my point is that a computer based system is just as valid as another system. they are all going to be flawed, there will always be upsets and people that come out of no where. So I don't think your system proves that computers are bad, just that the game of football is impossible to predict.
Here's why computer and math systems are terrible: they don't have the ability to account for attrition.
For example: Say Saquon Barkley suffers a tear in practice this week and misses the rest of the season. If Ohio State beats PSU without Barkley, they will receive the same credit for that PSU game that the previous 7 teams did. But we all know that Penn State cannot possibly be the same team without Barkley as they were with him. A human being can process that information and rank teams accordingly. Formulas can't.
OSU is still going to get credit for beating a good team in the human polls as well. and in the computer world at the end of the day that will work out as PSU starts losing more games or not winning by the same amount. so by the end OSU's victory looks not as good as it did.
as I was saying any given weak yes computer = BS. but over the season it should all play out.
I see what you're saying, but I simply don't agree with that last part.
Let's take it a step further. Let's say Barkley, McSorley, and a couple of offensive linemen go down for the season. PSU proceeds to lose to Ohio St, Michigan State, and Nebraska. They don't make the Big 10 title game at 9-3.
All seven teams that Penn State has beaten will finish the year with Penn State's 9-3 record factored into their scores, even though the Penn State they lost to was considerably better than the Penn State OSU, MSU, and Nebraska beat. You can't program an objective formula to account for losing critical players.
So it's not a one week problem; it's an entire season problem. If a team stays relatively healthy, then yeah, it's no big deal to give their opponents the same credit from Week 1 to Week 13. But if a team becomes a MASH unit by season's end, then you have to place a subjective standard that credits their Week 1 opponent more than Week 13.
Do you think that ever happens in the human world?
TN last year is the perfect example of the MASH unit you speak of. UGA, Florida, Kentucky & Mizzou losses to us all counted the same. and we dropped (rightly so) for losing to SC & VU even though we were running out of players when we lost to them.
so I am not seeing the human system as any better.
which is kinda my point. the Computer is objective to the point where it seems subjective to us. especially since the games never play out like they should on paper.
When each of 130 teams plays only 12 or 13 games, subjectivity is preferrable to objectivity. You can't objectively compare that many teams with such a small sample.
and yet the objective approach falls remarkably close to the subjective.
Especially as you are comparing one computer model to averaged human rankings. AP, coaches, CFP are averages of individual votes. average some computer ones together and you would increase the similarities.
because a more recent loss matters more than one against a worse team from a while ago?
so USC had more time to beat Cal and couldn't.
so we are down to the Dobbs4Heisman "eye test" to make or break.