What “curated” means here
RandomFacts isn’t a scrape of every viral claim on the internet. The library is hand-shaped: each entry is a short, shareable statement that should still feel true after a second look—and after someone asks “says who?”
We optimize for curiosity you can trust. That means rejecting a lot of material that would perform well as clickbait: absolute myths, unsourced superlatives, and “facts” that only work if you hide the hedge.
Where candidates come from
Ideas enter the pipeline from many directions—classic trivia that still holds up, science and history explainers, museum and encyclopedia summaries, reader suggestions, and gaps we notice when a category feels thin. Origin is not approval. A fun lead only earns a slot if it clears verification.
Preference for claims that appear in reputable secondary sources (museums, universities, major science or reference outlets) or that can be traced to primary research or official data.
Category balance: science, history, space, animals, geography, tech, and more—so “random” means breadth, not a single niche dump.
Audience fit: clear enough for a dinner-table retell, precise enough that a careful reader won’t feel tricked.
The verification checklist
Before a fact is written into the library, we run a fast but deliberate pass. Not every claim needs a dissertation—but every claim needs a reason to believe it.
- 1
Core claim test: Can we state the idea in one sentence without smuggling in “always,” “never,” or fake precision?
- 2
Source triangulation: Prefer at least one solid reference trail. If only anonymous listicles repeat it, it stays out—or gets rewritten into what those listicles quietly got wrong.
- 3
Consensus check: Does this conflict with well-established science or history without extraordinary evidence? If yes, pause.
- 4
Scope and hedges: Estimates, “among the,” “in many species,” and date-bound claims are welcome when honesty requires them. Vague “scientists say” is not.
- 5
Myth filter: Known folklore (10% of the brain, goldfish memory, spider-swallowing) gets corrected or excluded—not recycled for traffic.
- 6
Retell test: Would you be comfortable saying this out loud to someone who might look it up? If not, keep editing.
How we write for accuracy and surprise
Verification and wording are the same job. A true claim can still mislead if the punchline overclaims. We aim for the interesting hinge first, then the sober clause when numbers vary or categories are technical (botanical vs culinary “fruit,” for example).
We also avoid stacking unrelated stats into one “fact.” One twist, one clear image, one honest boundary—that’s the house style. It’s the same craft we describe in our pieces on myths, memory, and science patterns: surprise that survives scrutiny.
What we reject (even when it’s tempting)
Curation is mostly saying no. The library grows slower because of it—and that’s intentional.
Unsourced extremes: “the only,” “never been done,” “scientists proved” with no paper, institution, or dataset in sight.
Outdated classroom myths dressed as discoveries.
Medical, legal, or financial advice disguised as trivia.
Claims that require a conspiracy or a single anonymous blog to work.
Joke “facts” that only land if the reader doesn’t check.
Corrections and continuous improvement
No large fact library is frozen perfect. Consensus shifts, wording improves, and sometimes a entry that passed an earlier bar shouldn’t have. When we find an error—or a reader flags one—we revise the text, tighten the hedge, or remove the fact.
That loop is part of verification, not a failure of it. Trust is earned by how you handle the miss, not by pretending misses never happen. If something looks off while you’re browsing, treat that instinct as useful: the best libraries invite a second look.
What to do next
Spin a few facts on the generator and notice the hedges and comparisons. Then read our myth-spotting checklist—or take the quiz—and see how often real curiosities still make you stop and say wait, really?
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