After Is Not Because: Write the Change You Know

Report the difference between snapshots and the intervening event separately; leave the cause and the timing of additions unknown when the record leaves them unknown. That is the wording I favor for a before-and-after story. A clear result can be useful without supplying an explanation the evidence does not establish.

Keep the claim you intend to make in your article brief, beside the reader question chosen through the blogger keyword-research guide. Then compare the sentence with the actual record, rather than letting a convenient story fill its gaps.

The Complete Fictional Record

This original teaching exercise concerns one imaginary catalogue. Its supplied record contains exactly these snapshots and event:

• October 1, 2026: the catalogue contains 40 entries.

• October 4, 2026: its front-page label changes.

• October 8, 2026: the same catalogue contains 55 entries.

The net difference between the snapshots is 55 − 40 = 15 more entries. The label-change date falls between the two snapshot dates.

There is no intermediate count on October 4 and no record of when entries were added within October 1–8. The endpoints do not locate additions before or after the label change, and the net difference is not a count of all individual additions. No reasons for the count change, visitor record or control are supplied.

Three Drafts, Three Decisions

Draft 1: A Cause Stated as a Result

The label change added 15 entries.

Decision: unsupported causal conclusion. “Added” assigns the entire 15-entry difference to the label change. The record supplies the two counts and the label event; it supplies no causal effect connecting them.

Do not repair this by inventing another explanation. Saying that some other event caused the difference would also go beyond the supplied record.

Draft 2: The Window and Event Stated Separately

Entries rose by 15 between October 1 and October 8; the label changed on October 4 between the snapshots.

Decision: supported description of the supplied record. This sentence gives the interval for the net count increase and places the label event inside that interval. It does not place the increase on either side of October 4.

Keep “between October 1 and October 8.” Replacing it with “after the label changed” would add a timing claim the snapshots do not establish. We have no count at the moment of that change.

Draft 3: A Cause With a Hedge

The label change may have added 15 entries.

Decision: an untested hypothesis, not a supported result. “May have” changes how certain the explanation sounds; it does not supply evidence for the proposed effect. In particular, it does not justify assigning the 15-entry difference to the label.

If you retain an explanation note, label it as untested and separate it from the results paragraph. Neither this hypothesis nor its opposite—that the label had no effect—is established here.

A Finished Results Paragraph

Use the known dates and counts to write a coherent description:

The fictional catalogue contained 40 entries on October 1 and 55 on October 8, 15 more entries. Its front-page label changed on October 4, between the snapshots. This record does not establish why the entry count changed.

The timing of additions within the snapshot window remains unknown. Keep that gap in your reading of the paragraph: it reports an endpoint difference and an event date, not a sequence of individual additions.

NIST's scatter-plot discussion distinguishes association from proof of cause. This exercise uses that narrow caution; its fictional record is not a scatter plot, statistical association or experiment.

The blog-post writing guide can help you put the finished paragraph beside the record it describes. Let the result say what is known, and keep any proposed explanation visibly separate.