5 reglas para que no te engañen con datos

About this video

• Video Title: 5 reglas para que no te engañen con datos
• Channel: El Picalibro
• Speakers: Not specified
• Duration: 17:57

Overview

This video provides five essential rules for critically analyzing data and scientific research to avoid being misled. It emphasizes that data and studies are not absolute truths and should be examined for potential biases, replicability, certainty levels, and specific applicability.

Key takeaways

• Rule 1: Conflict of Interest: Always question who is funding the research and the employment relationship of the participants. If there's a direct benefit or detriment tied to the study's conclusions, it may indicate a conflict of interest that could bias the results.
• Rule 2: Replicability and Contrastability: Assess whether the findings can be replicated in different contexts or if they can be contrasted with other data points. For example, if a country reports increased wealth but also a rise in emigration, these figures may contradict each other.
• Rule 3: Level of Certainty: Understand that research, especially in fields like psychology and neuroscience, often has a lower level of certainty due to issues with design, execution, and consistency. Methods like the GRADE system help in evaluating the quality and confidence level of studies.
• Rule 4: Data vs. Science: Recognize that specific studies or data points are not "revealed truths" or equivalent to "science" itself. Attacking a particular investigation or data set is not an attack on science as a whole.
• Rule 5: Specificity of Studies: Be aware that research findings are often specific to the context, population, and methodology used. Extrapolating results to different regions or demographics without further evidence can be misleading.