Essential Vocabulary for Adults | News, Evidence, Statistics & Misinformation

Modern adults do not only need to read sentences. They need to read claims.

A headline says a risk “doubled”. A survey says “most people agree”. A chart rises sharply because the vertical axis begins at 80. A website looks local but is not authentic. Vocabulary helps adults notice what kind of statement they are being asked to believe.

This article teaches one hundred terms for everyday information literacy. It is not a substitute for professional statistical analysis, but it gives readers enough language to ask better questions about sources, evidence and uncertainty.

Diagnosis Before the Vocabulary

• Claim failure: opinion, prediction and factual assertion are being treated as identical.
• Source failure: the reader remembers the statement but not who produced it.
• Number failure: percentage, percentage point, rate and absolute number are blurred.
• Evidence failure: correlation, anecdote and causal evidence are being mixed.
• Authenticity failure: a familiar-looking website or account is assumed to be genuine.

1–10 · Claims and Statements

1. Claim — a statement presented as true or supportable.
2. Assertion — a confident statement that may or may not include supporting evidence.
3. Fact — a proposition that can be checked against evidence and reality.
4. Opinion — a judgement, preference or interpretation rather than a directly verifiable fact.
5. Prediction — a statement about what is expected to happen in the future.
6. Estimate — an approximate value produced from available information or a statistical method.
7. Inference — a conclusion drawn from evidence rather than directly observed.
8. Hypothesis — a proposed explanation or relationship that can be tested.
9. Conclusion — a judgement reached after considering evidence or argument.
10. Qualification — wording that narrows or limits a claim, such as “among surveyed adults” or “under current conditions”.

11–20 · Sources and Attribution

11. Source — where information originates.
12. Primary source — original evidence or first-hand material, such as a dataset, law, interview or research paper.
13. Secondary source — material that interprets, summarises or reports primary sources.
14. Official source — information published by the responsible authority or organisation.
15. Attribution — identifying who said, produced or supplied information.
16. Anonymous source — a source whose identity is withheld from the public.
17. Eyewitness — a person who directly observed an event.
18. Expert source — a source with relevant specialist knowledge.
19. Conflict of interest — a relationship or incentive that could influence judgement or presentation.
20. Provenance — the history of where information, data or media came from and how it was produced.

21–30 · Evidence Quality

21. Evidence — information used to support, challenge or test a claim.
22. Anecdote — an individual story or example; useful for illustration but weak as population-level proof.
23. Observation — information recorded without necessarily manipulating conditions.
24. Experiment — a study designed to test effects under controlled or structured conditions.
25. Replication — repeating a study or analysis to see whether a result can be reproduced.
26. Peer review — evaluation of scholarly work by other specialists before publication.
27. Systematic review — structured synthesis of multiple studies using defined methods.
28. Meta-analysis — statistical combination of results from multiple studies where appropriate.
29. Triangulation — checking a conclusion using multiple independent sources or methods.
30. Corroboration — independent evidence that supports the same account or claim.

31–40 · Causation and Association

31. Correlation — a statistical association between variables.
32. Causation — a relationship in which one factor produces or contributes to an effect under the relevant model.
33. Confounder — a third factor related to both the supposed cause and outcome that can distort interpretation.
34. Reverse causation — a situation where the presumed effect may actually influence the presumed cause.
35. Association — a general relationship between variables without necessarily establishing cause.
36. Mechanism — the process through which an effect is believed to occur.
37. Control group — a comparison group used to estimate what might happen without the tested intervention.
38. Randomisation — assigning participants or units by chance to reduce systematic bias.
39. Selection bias — distortion caused by who enters or remains in a sample.
40. Publication bias — distortion when studies with certain results are more likely to be published.

41–50 · Samples and Surveys

41. Population — the full group a study aims to describe.
42. Sample — the subset actually measured.
43. Sample size — the number of observations in the sample.
44. Representative sample — a sample designed to reflect important features of the target population.
45. Sampling frame — the list or structure from which a sample is drawn.
46. Response rate — the proportion of selected people who actually respond.
47. Survey question — a prompt used to collect reported information.
48. Leading question — a question worded in a way that nudges respondents toward an answer.
49. Non-response bias — distortion when people who do not respond differ meaningfully from those who do.
50. Margin of error — a range describing sampling uncertainty under specified assumptions.

51–60 · Everyday Statistical Measures

51. Mean — arithmetic average.
52. Median — the middle value when observations are ordered.
53. Mode — the most frequently occurring value.
54. Range — the difference between the highest and lowest values.
55. Rate — a quantity expressed relative to another quantity, often per unit of time or population.
56. Ratio — comparison of two quantities by division.
57. Proportion — a part expressed relative to a whole.
58. Percentage — a proportion expressed per hundred.
59. Percentage point — the arithmetic difference between two percentages.
60. Index — a constructed measure used to track relative changes across time or categories.

61–70 · Change, Risk and Uncertainty

61. Absolute change — the direct numerical difference between two values.
62. Relative change — change expressed relative to the starting value.
63. Absolute risk — the actual probability of an event in a group.
64. Relative risk — one group’s risk compared with another group’s risk.
65. Baseline — the starting value used for comparison.
66. Trend — a sustained direction or pattern over time.
67. Volatility — degree of fluctuation over time.
68. Confidence interval — a range produced by a statistical method to express uncertainty around an estimate.
69. Statistical significance — evidence against a specified null model under chosen assumptions; it does not automatically mean practical importance.
70. Uncertainty — the degree to which a value, claim or future outcome is not fully known.

71–80 · Charts and Visual Evidence

71. Axis — a reference line showing the scale of a graph.
72. Scale — the numerical spacing used on an axis.
73. Truncated axis — an axis that does not begin at the natural baseline, which can visually magnify differences.
74. Data point — one recorded observation or value.
75. Time series — data measured repeatedly over time.
76. Bar chart — a chart comparing quantities with rectangular bars.
77. Line chart — a chart commonly used to show change over time.
78. Scatter plot — a graph showing the relationship between paired numerical variables.
79. Legend — the key explaining symbols, colours or categories in a chart.
80. Annotation — explanatory text added to a visualisation to highlight context or events.

81–90 · Misinformation and Manipulation

81. Misinformation — false or inaccurate information shared without necessarily intending deception.
82. Disinformation — false or misleading information deliberately created or spread to deceive.
83. Propaganda — organised communication designed to shape attitudes or behaviour toward a cause or actor.
84. Fabrication — invented content presented as real.
85. Manipulated media — genuine media altered to create a misleading impression.
86. Deepfake — synthetic or heavily manipulated media made to imitate a real person or event.
87. Impersonation — pretending to be a real person, organisation or news outlet.
88. Spoofed website — a site designed to resemble a genuine site or brand.
89. False context — genuine content presented with an incorrect date, place, identity or explanation.
90. Clickbait — sensational framing designed primarily to attract clicks, often at the cost of precision.

91–100 · Verification and Responsible Reading

91. Verification — checking whether a claim, identity or piece of media is genuine and supported.
92. Cross-check — compare the same claim against another independent source.
93. Original source — the earliest accessible source of a claim, document, image or dataset.
94. Context — surrounding information needed to interpret a statement correctly.
95. Correction — an explicit amendment of inaccurate information.
96. Clarification — additional explanation that resolves ambiguity or misunderstanding.
97. Retraction — formal withdrawal of a publication or claim.
98. Fact-check — a structured examination of whether a factual claim is supported by evidence.
99. Media literacy — the ability to access, analyse, evaluate and responsibly use media.
100. Epistemic humility — willingness to adjust confidence when evidence is incomplete or contradictory.

Six Distinctions Adults Should Be Able to Explain

• Percentage ≠ percentage point: a rise from 20% to 30% is 10 percentage points, but a 50% relative increase.
• Mean ≠ median: the mean is pulled by extreme values; the median tracks the middle observation.
• Correlation ≠ causation: two variables moving together does not by itself establish that one caused the other.
• Estimate ≠ exact count: many official statistics are estimates produced from surveys or models.
• Misinformation ≠ disinformation: intent to deceive separates the concepts, even though both can be false.
• Authentic-looking ≠ authentic: a website can imitate local design, names and news style while being operated elsewhere.

Singapore Relevance

Singapore’s Factually portal publishes corrections and clarifications on matters of public concern. In April 2026, IMDA and MHA also announced the blocking of six inauthentic websites associated with foreign actors; the sites used Singapore-related names and local-looking news features to appear credible. This is a useful vocabulary lesson: local appearance, domain names and copied visual cues are not proof of provenance.

Official statistics from SingStat should also be read with attention to definitions, populations, time periods and whether a figure is a count, rate, proportion, index or estimate. A number without its denominator or definition can be technically correct and still misleading in conversation.

Connections eduKateAI Can Learn

Claim ↔ source: a statement should remain connected to who produced it and on what basis.

Number ↔ denominator: rates and percentages require a reference population or base.

Association ↔ mechanism: causal interpretation requires more than statistical movement together.

Media ↔ provenance: apparent authenticity should be checked against origin, ownership and independent confirmation.

Uncertainty ↔ confidence: responsible communication preserves what is not yet known.

Research & Reference Basis

• Factually Singapore
• IMDA: Inauthentic websites blocked in 2026
• Singapore Department of Statistics
• data.gov.sg
• OECD: Statistical methods

Return to Essential Vocabulary for Adults or the Vocabulary Learning Hub.