Ed Fringe Guide

Analysis → Timing and the run, in full

Timing and the run, in full

When shows sell out, how much warning you get, and the third of sold-out dates that come back — with the monitoring gap and the censoring both stated plainly.

Snapshot pinned at 21 August 2026. Every figure is a floor — dates we could not verify count as not sold out. This page is the long version of one chapter of the findings; the reading guide and how this was measured cover the whole analysis.

When shows sell out

Prime time is a myth — for theatre. For comedy 7pm is the best hour on the clock. Saturday is real, Sunday is not, and the festival gets harder to get into as it runs.

Sellout rate by start time
  • 11am20.6% n=1,832
  • 3pm20.1% n=2,807
  • 7pm19.3% n=2,989
  • 6pm17.7% n=2,763
  • 5pm17.6% n=2,783
  • 4pm17.5% n=2,756
  • 1pm17.3% n=2,646
  • 8pm17.2% n=2,588
  • 9pm16.7% n=2,392
  • 2pm16.7% n=2,845
  • 11pm13.9% n=833
  • Noon13.9% n=2,665
  • 10pm13.4% n=1,592

UK start time, 11am to 11pm. Earlier slots are a different market — a 9am show is not competing with an 8pm one — and are left out rather than ranked against them.

Pooled, the 8pm–10pm slot everyone competes for sits at or below the festival average, the peaks are 11am and 3pm, and the whole range is seven points end to end. That is the most misleading chart on this page. It is the average of two clocks running in opposite directions.

The same hours, split by genre
Start timeComedynTheatren
11am19.4%38225.0%825
Noon12.6%89416.1%1,197
1pm17.1%73615.4%1,203
2pm11.2%1,14820.9%1,046
3pm18.5%99620.8%1,202
4pm17.2%1,19415.8%1,103
5pm16.5%1,40218.8%805
6pm16.3%1,45719.4%795
7pm27.1%1,44811.1%858
8pm20.3%1,57510.4%558
9pm17.0%1,44016.4%566
10pm16.4%9849.4%383
11pm14.1%62519.8%111

Same population as the pooled chart above. The 11pm theatre cell is 111 dates — the only row here thin enough to ignore.

Comedy’s best hour of the entire day is 7pm, at 27.1% — eight points clear of its own late-morning showing and half again the festival average. Comedy rises into the evening. Theatre collapses into it: its three worst hours on the clock are 7pm, 8pm and 10pm, at 11.1%, 10.4% and 9.4% — but not the 9pm between them, which runs at 16.4%, above theatre’s own noon. The slump is those three hours, not a continuous stretch. Theatre’s peaks are exactly where the pooled claim says they are, at 11am and 2–3pm. So “prime time is a myth” is a true statement about theatre and the reverse of the truth about comedy, and the pooled chart says it in both their names.

The weekend effect, measured on a clean week
WindowDatesSold out
Saturday 15 August2,46232.49%
Weekdays, 11–14 and 17–20 August17,40219.49%
Sunday 16 August1,96417.82%

Sunday is measurable for the first time at this cutoff — the previous snapshot cut off at 7pm on the only clean Sunday, and the weekend before it sits inside the 6–10 August monitoring outage. It answers the open question in the wrong direction for the phrase “the weekend”: Sunday is below the weekday average, not between it and Saturday.

The weekend, split by genre
WindowComedynTheatren
Saturday41.9%73523.4%667
Sunday18.8%67017.9%446
Weekday19.4%5,14814.9%4,897

Same clean window, excluding dates sold only through the Fringe’s central box office. Against its own weekday baseline comedy’s Saturday is worth +22.5 points and its Sunday −0.6; theatre’s Saturday is worth +8.5 and its Sunday +3.0. Comedy’s weekend is Saturday and nothing else. Theatre’s is smaller and includes the Sunday — which is a sign difference, not a size difference, on the one day the pooled table calls out as newly measurable.

Across the run the rate climbs — 10.5% on 5 August against 21.4% on 14 August and 18.8% on 18 August — the same catalogue getting harder to book into as the festival advances through its calendar and the tourist population builds. The climb flattens in the third week rather than continuing.

Selling out is not usually a cliff. Of the 34,777 ticketed dates the monitor has a trajectory for, 35.6% dropped below half availability at some point, 21.5% got under 20% left, and 15.9% were seen at zero — so most of what runs low does eventually go. That last figure is below the page’s 18.8% floor rate because the floor also counts sellouts the live ledger caught on dates with no trajectory of their own. Eventual sellouts are separable from the rest about three weeks out, when they are already at a median 63% availability against 87% for everything else.

A third of sold-out dates come back

Selling out is not a one-way door, and how often a date reopens turns out to say more about how a venue manages its stock than about how much people wanted the show.

Share of an operator’s sellouts that later reopened
  • The Standfloor-only venue51.5% n=99
  • Monkey Barrel42.9% n=552
  • Underbelly40.4% n=586
  • Just The Tonic33.0% n=115
  • Traverse Theatrefloor-only venue30.6% n=157
  • Pleasance28.9% n=1,024
  • Assembly28.0% n=500
  • Summerhall26.7% n=378
  • Gilded Balloon26.7% n=375
  • theSpace24.6% n=427
  • Hoots10.6% n=189
  • Greenside8.4% n=107
  • Laughing Horse / Free Fringe6.4% n=235

n is the operator’s sellouts, not its dates. Bar scale runs to 60%, not 100% — this chart is not comparable in length to the sellout-rate charts above. Thirteen of nineteen operators are shown: those with fewer than 80 sellouts are omitted, and so is the “Other / independent” bucket, which is several hundred unrelated rooms rather than one operator. That omission cuts off the top of the range — ZOO and C venues reopen more than half their sellouts on samples of about fifty. Every operator, on either measure, is in the explorer.

That is an eight-fold spread, and it lines up with how each operator sells rather than with how well. Monkey Barrel, Underbelly and The Stand reopen four or five sellouts in ten; Laughing Horse reopens one in sixteen. A Free Fringe show has no held-back allocation to release and takes no returns, so when it is gone it stays gone — which under a stay-sold-out definition would make it look like the most in-demand model at the festival.

What changes if you require a date to stay sold out
CutReached zeroStayed goneVerdict
Festival-wide18.83%14.15%A quarter of sellouts reopen
Monkey Barrel44.2%25.2%Nearly halves — the biggest single move
Laughing Horse≥ 8.0%≥ 7.5%Barely moves — it has no stock to release
Comedy (own-ticketing)20.8%13.5%Still ahead of theatre
Theatre (own-ticketing)14.5%10.9%Still behind comedy
Comedy, rooms 400+37.1%22.4%Room-size rise survives
Theatre, rooms 400+5.5%5.5%Room-size fall survives
National press quoted×1.77×1.52Press ordering survives
Scottish press quoted×0.78×0.72Still below quoting nobody

Every headline finding on this page survives the stricter definition. What does not survive is the size of the venue spread at the top of the table. The percentage rows are generated from the snapshot and asserted against it; the two ×odds rows are stratified odds ratios owned by scripts/analysis/press-outlets.py and are refreshed from that script by hand.

For anyone using the site, the practical reading is the cheerful one: a date showing as gone is worth checking again, and roughly three in ten of them will have something. That is on top of the stock a venue never puts through the central box office at all, which is why every “gone” message here says the venue may still have tickets.

How much warning you get before a date goes

The availability percentage is not equally trustworthy everywhere. In the smallest and the largest rooms, most sellouts arrive from a reading that still looked comfortable.

Availability at the last reading before a date sold out
Seats in the roomMean availability just beforeWent from 20%+ straight to zeroSellouts
Under 5063.2%71.1%1,226
50–9916.7%23.7%1,357
100–19912.6%20.8%1,226
200–39916.3%22.4%513
400 or more54.4%60.3%383

Sellouts the live monitor timed, where a prior reading exists. The monitor polls through the day, so “last reading” is typically minutes to a couple of hours old.

That 200–399 row is the one to distrust, because it is two different rooms averaged into one number. Split it by genre and the middle of the table stops being the reliable part for everybody:

Warning before a sellout, split by genre
Seats in the roomComedy: availability just beforeComedy: 20%+ straight to zeroSelloutsTheatre: availability just beforeTheatre: 20%+ straight to zeroSellouts
Under 5032.8%45.0%22041.3%49.7%342
50–9918.3%26.7%67015.9%22.8%451
100–1999.1%12.5%54513.2%20.6%248
200–3995.2%6.0%25038.9%54.5%165
400 or more7.6%11.5%87

Same population as the pooled table above. Theatre has too few timed sellouts in 400+ rooms to publish. In a 200–399-seat room a comedy sellout is the most predictable event on this page — 6.0% of them arrive from a reading that still looked comfortable — and a theatre sellout in a room of exactly the same size is the least predictable, at 54.5%. That is a nine-fold gap on the practical question of whether a listings site should have warned you, and the pooled row sitting between them at 22.4% describes neither.

Warning quality is U-shaped pooled, and it is worst at both ends for opposite reasons. A 30-seat room moves several percentage points with every single ticket, so it skips straight through the thresholds between two readings. A 600-seat room moves hundreds of seats faster than a polling interval can see. The rooms where the percentage means what it looks like are the 100–399 seat ones in the middle.

The practical consequence, and the reason this section exists: in a small room the number of seats left is the honest figure and the percentage is the misleading one, and any “selling fast” estimate that divides availability by a rate of sale is systematically over-optimistic below about fifty seats.

Method, in full

What this chapter measures, what it excludes, and where it is weakest.

Four days in early August are a hole in this chapter and are excluded from every weekday and trajectory claim rather than averaged in. An upstream change stopped the availability monitor for that stretch, and a gap in a time series is not a low reading — treating it as one would drag every weekday rate toward whatever the surrounding days happened to do.

Every figure in this chapter is right-censored at the snapshot cutoff, and the censoring is not uniform across the claims. A date late in the run has had less time to sell out than a date early in it, so run length and opening date are the two cuts where the censoring bites hardest, and both say so where they are published. The festival runs past this cutoff; rates rise through a run and the final numbers will be higher than these, though the climb flattens rather than continuing.

The recovery finding is about inventory and not about demand, and it is the claim on these pages most often read backwards. A date going from sold out back to available usually means stock was released or a hold expired, not that buyers changed their minds. That is also why the recovery chart is drawn to a different scale from the sellout charts and says so: it is a share of an operator’s own sellouts, not a share of its dates, and the two are not comparable by bar length.

The population, the definition of “sold out” and the two bounds every rate sits between are the same across every page here, and are set out once in how this was measured and what these numbers cannot tell you.