Make good research approachable without stripping away complexity, uncertainty, or limitations.
Research-informed tools for turning goals into action. Plan. Act. Learn. Adjust. Explore growth mindset, values-based planning, and practical AI use, with clear evidence limits and a reusable quarterly development plan.
Read the guideAn Individual Development Plan (IDP) is a structured way to turn one meaningful monthly goal into specific actions, track progress, reflect, and adjust.
Difficulty is information. Act, learn, adjust, and restart—not a scorecard of your worth.
Research basis: implementation-intention research shows that specifying when, where, and how you will act can improve goal attainment. Gollwitzer & Sheeran (2006), Implementation Intentions and Goal Achievement: A Meta-analysis of Effects and Processes. DOI: 10.1016/S0065-2601(06)38002-1.
Download the Monthly Goal & Development PlanThese are peer-reviewed papers I coauthored, separate from general science communication.
Examined semantic and phonological working memory contributions to sentence comprehension in people with aphasia.
Bilingualism itself did not automatically create a vocabulary-learning advantage; proficiency and language dominance mattered.
Stay curious. Look beyond the headline, weigh the whole body of evidence, and ask what would change your mind.
What are they researching, and how did they test it?
Identify the hypothesis, who or what was studied, the comparison, and the outcomes measured. Does the method answer the question the researchers actually asked?
Read past the headline.
One study contributes evidence; it rarely settles a question. Look at the size and uncertainty of the result, then the wider evidence and scientific consensus. If experts disagree, ask what is disputed and why. Headlines can turn a small association into a promise the study never made.
Does this apply to people—and to me?
Animal models can suggest mechanisms without establishing benefits in humans. Human observational studies and randomized controlled trials (RCTs) answer different questions; association alone does not establish causation. Before changing a habit, consider who was studied, practical benefits, risks, and how well the wider evidence supports that change.
What evidence could challenge the explanation?
Falsifiability means an idea could, in principle, be contradicted by evidence. Ask what result would count against it and whether this study could detect that result. A finding that conflicts with a prediction calls for scrutiny of both the explanation and the test—not an automatic verdict from one experiment.
Where did the idea come from—and why test it?
Trace the hypothesis to earlier studies, theory, or observations. What gap or competing explanation motivated this research? Read the original paper alongside systematic reviews, and check funding and disclosed conflicts of interest. Transparency helps you evaluate the work; a funding source alone does not decide whether a finding is sound.
Be skeptical, not cynical.
Do the measures capture the concept being claimed—for example, does a memory task really test the kind of memory discussed? This is construct validity. When the methods are unfamiliar, seek explanations from relevant experts, including independent specialists. Compare their evidence and reasoning, and stay willing to revise your view.
Explore the framework: NIH: understanding health evidence · NIH: clinical study designs · UC Berkeley: testable ideas.