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Things in Common Quiz

Things in Common Quiz - Free Things Trivia Test - FreudlyTake a free things in common quiz to explore your things in common knowledge and discover your results. Quick, no sign-up needed. Start now!en
Designed for curious learners, the Things in Common Quiz contains 16 questions and takes about 10 minutes. It shows how many common links you identified correctly and which catalogue-defined band contains your score, giving an at-a-glance indication of performance.
Questions: 1610 minutes
Things in Common Quiz: test ticket with numbers
July 22, 2026July 22, 2026Material has been updatedJuly 22, 2026Material has been published
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622 completions
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Daniel HallPsychologist · Test reviewer
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Scale Explorer

How the Scales are Structured

Things in Common KnowledgeTiCK
Measures how many common links you correctly identify across 16 trivia-style connection questions.
example score6/16
6/16Starting Pointexample score
0 – 6Starting Point
7 – 12Developing Connector
13 – 16Strong Connector
A score of 6 places you in the Starting Point range, suggesting you tend to spot more familiar connections while indirect or specialized links are harder to recognize.
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DATA-BASED USER COHORTS

Who Usually Takes This Test?

Trivia and quiz fans
41%OF USERS
People who enjoy quick, brainy challenges and want to test how well they can spot the shared link between mixed clues.
Students and lifelong learners
34%OF USERS
Curious learners who like broad knowledge across science, geography, language, and culture and want a fast way to self-check their connections.
Puzzle and pattern seekers
25%OF USERS
People who love wordplay, categories, and lateral thinking and take it to see how strong their connection-spotting instincts are.
BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.
Benchmarking

See How You Compare

Once you complete the test, your results are compared with real-world data from people in your country.
Below is a preview of how scores are typically distributed across each scale.
Shaded area — where most people score
Dot — the average
You — your score lands on each curve after the test— your score, after the test
Things in Common KnowledgeTiCK
You?
Average6.3
Typical rangeTypical3.4 – 9.2
Possible0 – 16
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SAMPLE QUESTIONS

Example Questions From the Test

    • Each borders Lake Victoria.
    • Each has a coastline on the Indian Ocean.
    • Each borders the Red Sea.
    • Each is crossed by the Tropic of Capricorn.
    • They were written by the Brontë sisters.
    • They are novels by Jane Austen.
    • They are plays adapted by William Shakespeare.
    • They are novels by George Eliot.
    • Reptiles
    • Mammals
    • Amphibians
    • Birds
WHAT THE TEST MEASURES

Things in Common Quiz - Description and methodology of the test

For readers who enjoy a knowledge challenge spanning several subjects, Things in Common Quiz offers a compact way to test broad knowledge. It works as a what do they have in common quiz, asking what different examples have in common across several subjects, making the result useful for deciding which connections deserve further reflection. It suits anyone who enjoys a focused exercise without committing to one subject.

What This Assessment Explores

The questionnaire asks whether you can identify what unites examples across subjects. Prompts cover literature, geography, biology, mathematics, language, flags, astronomy, music, government, and minerals. It is a common knowledge quiz requiring relational recognition, not recall alone.

All three question themes contribute to the single Things in Common Knowledge total, not separate subscores:

  • Category membership questions show whether examples fit a shared scientific, cultural, linguistic, or artistic class.
  • Common-property questions show whether a rule or feature links objects, places, or concepts.
  • Indirect-connection questions show whether specialized knowledge or less-obvious relationships are detected.

The score (0-16) reflects how many common links you identify correctly. Starting Point (0-6) indicates easier recognition of familiar links; Developing Connector (7-12) indicates many shared features with room to strengthen less-familiar associations; Strong Connector (13-16) indicates consistent detection of direct and less-obvious relationships across topics.

Methodology and Scientific Basis

Each item presents a prompt with four answer choices. The respondent selects the option identifying a category, rule, origin, visual feature, or other shared attribute. Together, varied prompts require identifying the relationship uniting each set of examples. The result reflects the number of common links identified correctly.

Conceptually, the questionnaire is consistent with the Test of Relational Reasoning (TORR), which examines how people recognize and coordinate relations. It also overlaps with the BEFKI GC-K approach to crystallized knowledge and with Rusche and Ziegler’s work on domain-specific knowledge, since success depends on learned facts from several fields. This is a conceptual relationship, not an adaptation or standardized administration of those instruments.

This shared knowledge test profiles performance on mixed-domain prompts. A strong result may reflect broad factual knowledge and efficient connection-making; a lower result may reflect unfamiliar content or difficulty identifying the intended relation.

Interpretation is limited by education, cultural exposure, language, and concentration. The displayed bands are descriptive catalogue categories rather than population norms or clinical cutoffs; a single score cannot distinguish relational performance from gaps in background knowledge.

Literature:
  • Alexander, Patricia A., Denis Dumas, Emily M. Grossnickle, Alexandra List, and Carla M. Firetto. “Measuring Relational Reasoning.” The Journal of Experimental Education, vol. 84, no. 1, 2016, pp. 119-151. 10.1080/00220973.2014.963216
  • Schipolowski, Stefan, Oliver Wilhelm, Ulrich Schroeders, Anastassiya Kovaleva, Christoph J. Kemper, and Beatrice Rammstedt. “BEFKI GC-K: A Short Scale for the Measurement of Crystallized Intelligence.” Methods, Data, Analyses, vol. 7, no. 2, 2013, pp. 153-181. 10.12758/mda.2013.010
  • Rusche, Marianna Massimilla, and Matthias Ziegler. “Measuring Domain-Specific Knowledge: From Bach to Fibonacci.” Journal of Intelligence, vol. 11, no. 3, 2023, article 47. 10.3390/jintelligence11030047

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