Look beyond the frame.

INSTRUMENTS / SELECTION EXPLORER

Constructed example

Widen the frame.

Keep every project in the model. Choose which ones enter the view.

Change what is visible. Keep the projects fixed.

01 / THE STORIES WE SEE

Set the population.

Four whole counts. At most 200 projects in total. Zero is valid.

All counts applied.

02 / WIDEN THE FRAME

The projects behind the stories.

100 projects · all known outcomes

1 mark = 1 project · positions stay fixed
Launch earlyPilot firstDid not reach goal
LAUNCH EARLY25%20 / 80 · strategy success rate
PILOT FIRST50%10 / 20 · strategy success rate

Same successes. Now we can see what each strategy was tried against.

Inspect a strategy or project

Every visible project can be inspected without targeting a small mark.

The visible stories were only part of the population.

Count the attempts, not only the successes.

Read the investigation →
Save this experiment

Saved only in this browser. Clearing browser data removes local copies; export a copy from your notebook to keep it.

MODEL & LIMITS

What the complete picture still cannot tell us

The missing projects are known because this example supplies them. These rates describe two groups; they do not establish that either strategy caused success.

  1. PopulationWho tried?
  2. SelectionWho is visible?
  3. InferenceWhat follows?
Inspect the complete counts and workings
Constructed projects · reached the six-month goal · selection-v1
StrategyReached goalDid notTotalSuccess rate
Launch early20608025%
Pilot first10102050%

Share among successes = strategy successes ÷ all successes. Strategy success rate = strategy successes ÷ all projects using that strategy. A zero denominator is undefined.

Assumptions, sources and evidence status

Original constructed fixture, constructed-project-selection-v1. Outcomes are supplied, not observed. Known unsuccessful projects are not the same as projects with unknown outcomes. Four nonnegative whole counts, total at most 200.

Selection, survivorship and source scope →