Literacy teaches the skills for evaluating evidence directly: distinguishing correlation from cause, reading confidence intervals, converting relative risk into absolute terms, spotting undeclared conflicts, and recognizing when a sample is too small. Examples come from real published papers. For anyone wanting to check a health claim independently.
Literacy teaches the skills for evaluating evidence directly: distinguishing correlation from cause, reading confidence intervals, converting relative risk into absolute terms, spotting undeclared conflicts, and recognizing when a sample is too small. Examples come from real published papers. For anyone wanting to check a health claim independently.
Search engines answer in seconds, so judging sources is now the hard part. What information literacy means, where it came from, and what classroom trials find.
Media literacy comes down to five plain questions about publisher, evidence, and independent coverage. Research from 2019 found professional fact checkers judge web pages faster and better by leaving the page first.
Clear writing has tools, dates, and laws: Flesch-Kincaid in 1975, the Plain Writing Act in 2010, and an ISO standard in 2023. Here is what the evidence shows.
Reading aloud is the core of clinic literacy programs that hand families books. A 2023 review and a 2026 randomized trial document more reading days at home and real language gains.
Adult literacy programs deliver real but small reading gains. A 2011 trial of 198 adults, UNESCO’s 2025 count, and PIAAC surveys show what the evidence supports.
The literacy rate in the US is a skill ladder, not a pass-fail count. What the 2023 federal numbers show, and why method changes blur the trend.
Decades of research point to one skill at the center of learning to read — and it explains why classrooms keep changing.
National tests show a real reading slide: 31 percent of fourth-graders at Proficient, more adults at the lowest levels. The crisis label depends on the bar.
Two groups, one bold headline, and a hidden factor nobody mentioned. Learn how confounding and selection bias make studies compare apples to oranges, and how to spot it yourself.
A p-value is the probability of data at least as extreme as the observed data if the null hypothesis were true — not the probability that the hypothesis is true, and not the size of the effect.