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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Repeating a claim makes it easier to believe, even when the repetition adds no new evidence. Psychologists call this the illusory truth effect. The phrase “caching bad data” works as a metaphor for it: a familiar claim gets stored in memory and served back as if it had already been checked. The phrase also has a literal meaning in DNS security, which is a different subject and is covered separately below.
Two meanings of “caching bad data”
The title can point to two unrelated things, and it helps to separate them before going further.
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- The psychology meaning. A false or unverified claim is stored through repeated exposure and then trusted because it feels familiar. This article is about this meaning.
- The DNS meaning. Section 4.7 of RFC 4035, titled Caching BAD Data (IETF, March 2005), discusses DNS resolvers caching records that fail DNSSEC validation, under specified safeguards. It is a standards document about DNS signatures. It says nothing about human belief, and the mechanisms should not be mixed.
Why repeated claims start to feel true
The main explanations in the literature are familiarity and processing fluency. A claim you have encountered before is generally easier to process than a new one, and that ease can be misread as a sign that the claim is accurate. A 2024 conceptual review in Current Opinion in Psychology (published on PubMed) uses this framework to explain how repetition increases belief in misinformation.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteThe key point is that repetition is not evidence. A statement repeated five times has the same supporting facts as the same statement heard once. What changes is the feeling of recognition. The effect can also appear in people who already have relevant factual knowledge, although its size varies across studies.
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What the 2026 meta-analysis found
The most recent synthesis is a systematic review and meta-analysis published in Nature Communications in 2026 and indexed in PubMed Central. It covers studies published from 1977 through 2025. Its headline figures are below, with the qualifications the authors attach to each.
| Measure | Value | What it means and its limits |
|---|---|---|
| Studies included | 182 studies, 366 effect sizes, 31,184 participants | Pooled across many different designs, so the average conceals real differences between studies. |
| Pooled effect (bias-corrected) | g = 0.37, 95% CI [0.30, 0.44] | A modest average effect. This is the authors’ median-imputation estimate after publication-bias correction. |
| Sensitivity range | g = 0.35 to 0.44 | The range that results from different assumptions about imputed missing standard deviations and correlations. |
| Heterogeneity | Meaningful variation between studies | The authors report that effect sizes differ substantially across studies; a single average should not be read as a fixed amount of influence for everyone. |
A modest average effect is still a real one. The estimate is small enough that a single repetition should not be expected to flip a belief, and large enough that repetition is a reliable factor in how credible a claim seems.
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Truth status does not switch the effect off
In the meta-analysis’s pooled analysis, repeated true statements and repeated false statements both showed increased perceived truth. The authors report no significant difference between those two categories.
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This does not mean people cannot tell truth from falsehood. It means that repetition can shape judgments of credibility independently of whether a statement is accurate. A person can be right about most things and still be pushed toward a false claim they have heard often enough.
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Evaluating a claim at first exposure
The meta-analysis also examined what happens during initial exposure. Active evaluation, meaning deliberately assessing whether a statement is accurate, was associated with a weaker repetition effect than passive processing or an unrelated task. This is an experimental association, and it is not proof that any single tactic prevents belief errors in everyday life. It does give a practical reason to slow down when a claim first arrives, rather than waiting until it has been repeated many times.
How strong is the evidence?
The authors identify several limitations that readers should weigh alongside the headline numbers.
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- Publication bias in earlier work. The authors report that 96% of studies in a prior review reported statistically significant results. That figure is a warning about publication bias in the older literature. It is not an estimate of how often the effect is real.
- Risk of bias in included studies. The authors report some risk-of-bias concerns in most included studies, often linked to a lack of preregistration.
- The corrected estimate stays positive. After correcting for publication bias, the pooled effect remained above zero, which is why the authors conclude that the effect is real but modest.
- Coverage and interpretability. A 2022 systematic map in Psychonomic Bulletin & Review, also indexed in PubMed Central, described the literature and identified limitations in how far its findings can be interpreted and how fully the evidence covers the topic.
Where this evidence stops
The phrase “broken patterns” in the title can also refer to entrenched personal habits, relationship dynamics, or organizational routines. The illusory truth literature does not establish the causes of those patterns, and it cannot carry an argument about them by itself. Explaining why people stay in habits or relationships that do not serve them would require evidence from behavior-change or relationship science, which is outside what the studies above measure.
A low-friction check when a claim feels obvious
When a claim feels obvious because you have heard it many times, these steps take less than a minute:
- Notice the feeling of familiarity and treat it as a prompt, not as evidence.
- Ask who originally made the claim and whether that source can be identified.
- Look for an independent source that confirms the specific claim, not just the general topic.
- If the only support is other people repeating it, mark the claim as unverified until a primary source turns up.
The steps do not guarantee accuracy. They make it harder for familiarity alone to do the work that evidence should do.
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