Check the research
Popular claims about phones, attention and policy, checked against the primary studies behind them rather than the summary that usually circulates. Where the evidence is mixed, these say so instead of rounding it into a confident answer. Seehow we research for the sourcing standard behind that.
What “checked” means here
It means someone opened the study a claim is attributed to and read what it reports, rather than repeating the summary that circulates. That sounds like a low bar. It is not one this subject usually clears, and the reviews here exist because of what turns up when you try.
Four failure modes come up repeatedly:
- The citation that does not contain the claim. The most-quoted number in this field, that it takes about 23 minutes to recover from an interruption, traces to a 2006 interview rather than to a paper, and the study usually credited for it reports something close to the opposite.
- The finding that decayed. Interventions are often reported at their first-week effect. Where a study followed people longer, the effect usually shrank, and a headline that quotes the peak is describing the best week rather than the result.
- Correlation described in causal language. Most of the evidence linking screens to wellbeing is cross-sectional. Distressed people may use their phones more, which fits the same data as the reverse.
- The sample that cannot carry the claim. A result from 143 undergraduates over three weeks is worth knowing and is not a fact about the general population, so sample sizes are recorded alongside each source.
Questions worth asking of any number you meet
Whether or not it appears on this site: does the article link to a study rather than to another article? Does the study measure what the headline says it measures? Is a correlation being described with causal words? And what was the sample? A number that fails those four questions probably should not change your behaviour, and a claim that never links to a study is usually quoting someone who was quoting someone.