π [Eyeing October 1] Counted 2 times over, still the yearly average?
People pick one date, name it, and go looking for something special in it. Pull every October 1 out of our window and the level does not move off the middle of the year. Something else does move.
The date October 1 moves nothing in our forecast. Our window holds it 2 times, 2 days in all, averaging Normal. The year averages Normal β the same level. Across those 2 days the spread is 0 levels, and 0 of them fall on a public holiday.
2 of these dates are still ahead; the table lists them in date order. With only 2 days behind it, this is not an article you can average. It asks what naming a single date actually buys you. Each level is what we expect of that date, not a record of how many came.
π Named and counted, it still lands on the average!
Our window holds October 1 2 times, 2 days in total. They average Normal; the year averages Normal β the same level.
All of them come in below the yearly average. Naming a date does not move it off the middle of the year. With only 2 days here, the rest of this reads them one at a time rather than as an average.
πͺ 2 passes and the spread is 0 levels!?
The lightest and the heaviest of them are both Normal β 0 levels apart on the seven-step scale.
Oct 1, 2026 is a Thursday; Oct 1, 2027 is a Friday. The weekday changed underneath it and the level stayed put. 0 of them land on a public holiday.
What the weekday does on its own belongs to crowds by weekday.
ποΈ Same date, opposite room rates?
The park level holds still; the room rate does not. 1 of them sit on the climbing side and 1 on the falling side.
Flatten the 2 days and the rate looks average. The flattening is the problem: the days split to both ends, and the average erases that.
Park crowds and room rates move for different reasons. The park fills when the day itself is off; rooms rise when the next day is. Park crowds and room rates handles that half.
π§© The shape of the days off is what moves it!
Lining up 2 days produced exactly one finding: the date sits at the yearly average. Name a date and everything past that point is the weekday and the shape of the days off.
With 2 days behind it, do not read any of this as what happens every year. The whole month counted out is October crowds, and what the level words mean in queue minutes is how we grade crowd levels.
Last updated: 2026-09-11
othree / CC BY 2.0ποΈ[Before you book] Tickets stop at two months, forecasts do not!Tickets stop two months out, Disney hotels four. Our forecast runs past both, so you can settle the date before anything goes on sale. Here is the order.
othree / CC BY 2.0π[June 15 plans] Only 2 June 15ths are in the forecast β what can they show?Only 2 June 15ths sit inside our forecast window: Jun 15, 2026 at Normal, Jun 15, 2027 at Fairly easy, on different weekdays. Too few days for an average.
othree / CC BY 2.0π[Staying till close] 19 early closes, and most of them on Friday?Of the 696 entries we hold, 19 close before the usual 21:00, and 16 of those fall on Friday. The data has no field for the reason, so we do not give one.
othree / CC BY 2.0π[Arriving late] Walk in at 15:00 and a short date costs you 50% of what is left?Opening is fixed at 09:00, so a standard day runs 720 minutes and the shortest 540. Those 180 minutes all come off the evening: 50% of a late arrival.
othree / CC BY 2.0π§[First trip] 463 days sit at or below the yearly average β how do you get to one?Of the 724 days we forecast, 463 sit at or below the yearly average. Decide in this order: crowd level, weekday, holiday runs, room rates.
othree / CC BY 2.0π[Only free on holidays] 35 holidays against 485 weekdays β how many steps apart?Across 35 public holidays the average is Normal; the 485 ordinary weekdays average Normal. The same step β and the bands still overlap.
Disney crowd forecast