About

The human brain retains isolated facts at a rate of roughly 20% after 24 hours without reinforcement (Ebbinghaus forgetting curve). Random exposure to categorized knowledge - science, geography, history - counteracts this by creating novel associative pathways. This generator draws from a curated corpus of 150+ verified facts across 10 domains, using a shuffle-queue algorithm to guarantee full coverage before any repetition occurs. Each fact is source-attributed where applicable.

Unlike simple "random quote" widgets that pull from 10 - 15 entries and repeat constantly, this tool implements a Fisher-Yates shuffle across the entire filtered dataset. The queue exhausts all available facts before reshuffling. Favorites persist across sessions via local storage. Note: facts are curated from publicly available scientific and historical sources. Minor simplifications exist for brevity. Always verify critical claims against primary literature before citing them professionally.

Formulas

The shuffle-queue algorithm guarantees uniform coverage. Given a dataset of n facts and a category filter selecting k facts:

P(repeat) = 0 for first k draws

The Fisher-Yates shuffle operates in O(n) time by iterating from index i = n − 1 down to 1, swapping each element with a randomly chosen element at index j where 0 ≤ j ≤ i:

j = floor(random() × (i + 1))

Where j is the target swap index, random() returns a value in [0, 1), and i is the current iteration index. This produces an unbiased permutation. After the queue is exhausted, it reshuffles automatically, guaranteeing the user sees every fact in the filtered set exactly once per cycle.

Reference Data

Category	Fact Count	Example Topic	Complexity Level
Science	18	Quantum mechanics, chemistry	Intermediate
History	16	Ancient civilizations, wars	General
Nature	16	Animal behavior, ecosystems	General
Space	15	Planets, stars, cosmology	Intermediate
Human Body	15	Anatomy, physiology	General
Technology	15	Computing, inventions	General
Geography	15	Countries, landmarks, oceans	General
Language	14	Etymology, linguistics	Intermediate
Food	14	Culinary history, nutrition	General
Mathematics	14	Number theory, geometry	Advanced
Algorithm: Fisher-Yates shuffle ensures 0% repeat rate until full queue exhaustion
Persistence: Favorites stored in `localStorage` with JSON serialization
History Buffer: Last 50 facts navigable via back/forward

Frequently Asked Questions

It uses a Fisher-Yates shuffle queue. The entire filtered dataset is shuffled into a queue. Facts are drawn sequentially from this queue. Only when every fact in the current filter has been shown does the generator reshuffle and start a new cycle. This guarantees zero repeats within a single cycle of k facts.

Facts are curated from publicly available scientific literature, historical records, and reputable encyclopedias. However, some facts involve simplifications for brevity. For example, stating a planet's temperature as a single number omits atmospheric variation. Always cross-reference against primary sources before using any fact in academic or professional contexts.

Favorites are stored in localStorage under a dedicated key. Clearing browser data, using incognito mode, or switching browsers will erase them. There is no cloud sync. Export your favorites (copy the displayed list) if persistence across devices is required.

Yes. The category pill buttons act as toggles. Activating multiple categories creates a union set - facts from all selected categories enter the shuffle queue. Deactivating all categories defaults to showing all 152 facts. The queue reshuffles each time the filter changes.

After the queue is exhausted, a fresh shuffle occurs. The last fact of the old queue and the first fact of the new queue are independent random events. There is a 1k probability they coincide. This is statistically expected and not a bug. With 152 facts, this probability is under 0.7%.