THE WORLD OF DR. BAYESA WORK IN PROBABILITY · EST. 2026
EPISODE 025 · THE CONFERENCE ROOM

The Long Run

An early result is not an estimate. Six customers average $2,900 against a $4,000 target. The marketer waits for more data, and Dr. Bayes explains what actually improved.

Sample sizeEstimationPatience
THE COMICTap any panel to open it at full size
Episode 025 of the Dr. Bayes comic, “The Long Run”: Six customers average $2,900 against a $4,000 target. The marketer waits for more data, and Dr. Bayes explains what actually improved. The full dialogue is in the transcript below.
01 / 04Panel 1 of 4 from Episode 025, “The Long Run”
02 / 04Panel 2 of 4 from Episode 025, “The Long Run”
03 / 04Panel 3 of 4 from Episode 025, “The Long Run”
04 / 04Panel 4 of 4 from Episode 025, “The Long Run”
A NOTE FOR CURIOUS MINDS

Behind the joke.

An average of six customers is very noisy: one large or small order moves it a lot. As the sample grew to 30 and then 100 customers, the average moved from $2,900 to $3,600 to $4,050 and became more reliable. The campaign may not have changed at all; the estimate of it did. Early results deserve wide uncertainty, and judging them too soon can kill a campaign that was working.

SPEECH BUBBLES, IN WORDS

The transcript.

For readers who prefer dialogue without zooming in.

Read the dialogue ↘

Marketer: The first six customers averaged $2,900. Our target is $4,000.

Dr. Bayes: So you killed the campaign?

Marketer: No. We waited.

Marketer: Now we're above target.

Marketer: So the campaign got better.

Dr. Bayes: Maybe. But what definitely got better was your estimate of the campaign.

Dr. Bayes: Six customers told you what happened first.

Dr. Bayes: A hundred started telling you what was actually happening.