Comet's tally sheet from Count Lab shows 11 arrivals. Wren's log still says 18.
"Maybe I rolled wrong," Comet says. "Let's roll again."
Wren taps the log. "What do you notice? Every run of our rule lands near 12, and the trial bench got 18."
"So the dice are fine," Comet says slowly. "The rule is what is off."
Nova hovers between the sheet and the log. "Would you like a hint?" she asks. "Turn your rule into a hypothesis. Then test it, the way a scientist would."
Comet pulls the pencil from behind her ear. "Data analyst, help me write the hypothesis."
A hypothesis is an idea you can test. The first rule's hypothesis is: about one slot in three has an arrival.
Simulations help people form hypotheses and refine them.
Wren's log is the test. It shows 18 arrivals in 36 slots, which is one slot in two.
When a prediction and a test disagree, you refine the model and test it again.
| Model version (made-up runs from the Commons Count story) | Faces that mean an arrival | Expected in 36 slots | The crew's run | Wren's log |
|---|---|---|---|---|
| First rule | 1 or 2 (two faces of six) | about 12 | 11 | 18 |
| Refined rule | 1, 2 or 3 (three faces of six) | about 18 | 17 | 18 |
The amount, quality and variety of data affect how good a model is.
Wren's log covers one Saturday at one trial bench. A model built on one day may not fit a quiet weekday morning.
Logging more days, at different times, would give the model more data, and more varied data, to test against.
| Statement | True or false? |
|---|---|
| A model is checked by testing its predictions. | ? |
| If one test disagrees, you should throw the whole model away. | ? |
| Data from more days could make the model better. | ? |
| A log from one Saturday is enough to predict every weekday morning. | ? |
Excellent scientific thinking. Tomorrow is Impact Friday: models that decide things about people.