Categoría: Questions

New knowledge very often is built upon inference: suppose and formulate general ‘laws’ based on individual observations quantified in statistics. There are two major problems: prove causality (which is something different from correlation) – but also false correlations. About this theme I’d like to suggest reading / viewing: Spurious Correlations

Free Technology for Teachers: How Graphs Can Be Misleading www.freetech4teachers.com/2022/02/how-graphs-can-be-misleading.html

Twitter may affect how journal articles are consumed by public www.healio.com/news/ophthalmology/20220118/twitter-may-affect-how-journal-articles-are-consumed-by-public

Data-dredging bias – Catalog of Bias Data-dredging bias

How to Write a Project Proposal www.makeuseof.com/how-to-write-a-project-proposal/

Google Docs Reads What You Write: What Do You Need to Know? www.makeuseof.com/google-docs-reads-what-you-write-what-to-know/

Es el nombre del efecto de la gente mal informada (con poca información, o información fragmentaria o de mala calidad) cree que sabe mucho y se expresa – mientras que los que saben más dudan y no se expresan. Es una de las fuentes de las falsas informaciones. Efecto Dunning-Kruger

Merriam Webster defines BIAS as d(1) : deviation of the expected value of a statistical estimate from the quantity it estimates (2) : systematic error introduced into sampling or testing by selecting or encouraging one outcome or answer over others It are systematic (voluntary or no) errors in knowledge, perception,