flynnibus
Premium Member
Could an Annual Passholder who goes to Disney once a week do a better job of determining likely wait times just by eyeballing it? If so, why?
Because no one tries to strangle the Annual Passholder if they are wrong.
Could an Annual Passholder who goes to Disney once a week do a better job of determining likely wait times just by eyeballing it? If so, why?
I think it's likely habitually overestimated rather than under due to the presence of FastPass/Lightning Lane. You'll never have especially more people than you predicted going through a quick access lane since they have a record of your reservation, but you could certainly have less than expected if people are swapping out passes regularly, don't show for their reservation, etc. In other words, it's probably easier to accurately predict the upper end of the range for wait time than the lower, plus the upper end is probably more "helpful" from a customer relations perspective anyway.Except if you're systemically bad at estimating something, it should go in both directions. It seems to only go in one direction according to statistical data.
Imagine that a weather service was only wrong in one direction: they always predicted the temperature hotter than it would be. Now imagine that you could predictably determine that the actual temperature would be between 50-60% of the temperature they predict. That would mean you could actually figure out the temperature if you just reduce the predictable inflation in the forecast. You'd then have to wonder why the meteorologists weren't just doing that on their own.
Let's put it another way:
Could an Annual Passholder who goes to Disney once a week do a better job of determining likely wait times just by eyeballing it? If so, why?
1. Len just gave you data that it doesn't go in just one direction.Except if you're systemically bad at estimating something, it should go in both directions. It seems to only go in one direction according to statistical data.
Imagine that a weather service was only wrong in one direction: they always predicted the temperature hotter than it would be. Now imagine that you could predictably determine that the actual temperature would be between 50-60% of the temperature they predict. That would mean you could actually figure out the temperature if you just reduce the predictable inflation in the forecast. You'd then have to wonder why the meteorologists weren't just doing that on their own.
Let's put it another way:
Could an Annual Passholder who goes to Disney once a week do a better job of determining likely wait times just by eyeballing it? If so, why?
That's what had me rolling too.I’d just like to know where the guests are that Cheapek says are really appreciating the price increases, reservation system, and lack of offerings.
Because no one tries to strangle the Annual Passholder if they are wrong.
I am the AP that goes once a week and my fiancée and I don’t really pay attention to the posted signs at all at this point. Based on where the line physically ends, I would estimate we can predict the over/at/under estimation correctly about 80% of the time. I assume LL is the variance that we obviously can’t see the other 20% of the timeCould an Annual Passholder who goes to Disney once a week do a better job of determining likely wait times just by eyeballing it? If so, why?
This is why you seem to struggle with dialogue. I've looked at Len's data, I think it basically does go in one direction... even in TPP's data, there are always going to be exceptions (such as when rides have unexpected downtime). When I posted originally on this topic, I asked if people were discussing something that I feel confident on... but I'm not here to prove that to you. I don't care if you believe it or not. It's my opinion and I don't have hard data because you'd have to have a leaker to get that sort of data, and even then it likely couldn't be verified. I'm not interested in a high school debate team outline, and I'm not worried about "failing to make a point". I just wanted to know if others were thinking and talking about the same thing.1. Len just gave you data that it doesn't go in just one direction.
2. You ignore other reasons why there may be overestimates ignoring that there were overestimates way before Genie+.
3. You're moving the goal posts from "They are purposely overestimating wait times to drive people to use Genie+" to "they are systemically off in their wait time estimates." No one's arguing against the second point. I freely admit that their advertised wait times are ridiculously bad. That's not what you came to argue. You came to argue it's done purposely to drive people to Genie+ and ILL. You have failed to make that point.
I am the AP that goes once a week and my fiancée and I don’t really pay attention to the posted signs at all at this point. Based on where the line physically ends, I would estimate we can predict the over/at/under estimation correctly about 80% of the time. I assume LL is the variance that we obviously can’t see the other 20% of the time
There were guests waiting 130 minutes for Mine train yesterday. I walked right on.You actually had someone wait 230 minutes for Rise of the Resistance? That's wild.
What restrictions are they working under?"Restaurant capacity and live entertainment restrictions are currently limiting Walt Disney World theme park attendance according to Bob Chapek"
Translation: "Lift the restrictions so we can make the money we lost until the next COVID Wave appears at our shorelines!"
Limiting attendance=limited proceeds. Limited proceeds=lower share returns Lower share returns=CEO firings
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