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What the museum demonstrates
The project’s central lesson is that a data result is not always determined by the source values alone. The rule used to compare, represent, include, or weight those values can affect the answer. Making that rule explicit helps readers judge what a result means and when it is defensible.
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The project article describes a browser-based collection in which a visitor can “inspect a claim without opening a spreadsheet or writing code.” That is the project’s positioning, not a finding from user research. The examples below illustrate mechanics; they do not establish which interpretation is universally best.
Four assumptions that change an answer
Sorting: choose the comparison rule
For the values [2,10,1], JavaScript’s default sort compares values as strings, while a numeric comparison orders them by magnitude. The numeric result is [1,2,10]. The same items can therefore appear in a different order depending on the comparison rule. Sorting identifiers or labels may call for a different rule than sorting quantities.
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Representation: preserve identifiers as text
The strings 0042 and 42 are different text representations. Converting both to numbers removes the leading zero, making them equivalent as numeric values. That conversion can be appropriate for quantities, but it can destroy meaningful distinctions in identifiers such as codes or account numbers.
Missing values: define what a blank means
The missing-value exhibit considers the values 4, a blank observation, and 8. The average depends on how the blank is handled: a calculation that ignores it differs from one that treats it as a value under an explicit rule. A reader needs to know that policy to interpret the result. This is an invented teaching example, not a report about an observed dataset.
Group weighting: decide what gets equal influence
In the project’s invented success-rate example, giving two groups equal weight produces 62.5%, while pooling their trials produces 40%. Equal-group weighting answers a question about the average group rate; pooled-trial weighting answers a question about the overall rate across trials. Neither figure is a general empirical statistic, and the exhibit does not make one weighting method universally correct.
What a matching calculation does—and does not—verify
The project article says the frontend validates fetched material and recomputes expected results. If the recomputed number matches the declared expected result, that supports consistency between the calculation and that expectation. It cannot establish that the explanatory prose is true, that the chosen assumptions fit a real-world question, or that the underlying observations represent reality. A correct calculation is not, on its own, a validated assessment.
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How the project is described as built
According to Jianqiang’s 2026 project article, the collection has an Astro static shell, while native browser JavaScript queries Sanity and runs deterministic calculations. Its content is organized into evidence (rows, columns, and provenance), interpretations (an assumption, calculation key, expected JSON result, verdict, and explanation), and exhibits that assemble references into a claim and takeaway. The article says eight fixed calculation functions are selected by keys and JSON is parsed as data rather than executed.
The article reports four exhibits, eight interpretations, and 16 imported Sanity documents at the time described. Those are author-reported project counts, not independently verified current totals.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the reported checks establish
Jianqiang’s article reports 25 tests with 25 passes in both the main implementation context and a separate review context. It also says that review was not independent human review. The reported checks covered malformed cells, unsafe numeric values, missing or conflicting references, unsupported algorithms, incorrect expectations, and accidental mutation. The article says the build also addressed a skip-link target, off-screen heading focus, and display of whitespace-only missing values; a keyboard reset check reportedly confirmed collapsed notes, a cleared choice, and visible heading focus. These are claims in the project article, not independently reproduced audit findings.
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The article also reports responsive Chrome iframe checks at 360, 768, and 1280 CSS pixels. It expressly distinguishes these viewport checks from physical-device testing and a complete accessibility audit; reduced-motion handling was not independently exercised end to end.
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Publication status and limits
The project article says that importing 16 documents initially left the museum showing zero exhibits, and that Reload changed it to four. It reports that a content edit remained visible after reopening the editor and refreshing the public frontend. A prolonged Saving state and an HTTP/1 warning did not, by themselves, prove either failure or success; the article says the cause of the transport warning remained unproven.
The article describes the project as using Free-compatible features, with no paid upgrade selected and no paid API dependency. It describes a build and publication state at the time it was written, not a guarantee of the present live demo’s availability or behavior. The surfaced article is dated September 21, 2026 in related indexing; the current demo URL and state have not been independently verified. Read the project article by Jianqiang for the author’s account.
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