by Summary:
DevSpeak is devspeak for "technical jargon." It's related to overuse of mathematical expressions for effect. The question for writers to ask is how the language they choose affects the signal/noise ratio for the intended audience. Useful post.Oxfam Blogs — From Poverty to PowerWhen to write in DevSpeak; when to use Plain Language? More handy tips. Duncan Green, strategic adviser for Oxfam GBRelatedLars P. Syll’s BlogWhy statistical significance is worthless in science Lars P. Syll | Professor, Malmo UniversityAlsoStatistical Modeling, Causal Inference, and Social ScienceWhy do sociologists (and bloggers) focus on the negative? 5 possible explanations. (A post in the style of Fabio Rojas)Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics
Topics:
Mike Norman considers the following as important: communication
This could be interesting, too:
DevSpeak is devspeak for "technical jargon." It's related to overuse of mathematical expressions for effect. The question for writers to ask is how the language they choose affects the signal/noise ratio for the intended audience. Useful post.Oxfam Blogs — From Poverty to PowerWhen to write in DevSpeak; when to use Plain Language? More handy tips. Duncan Green, strategic adviser for Oxfam GBRelatedLars P. Syll’s BlogWhy statistical significance is worthless in science Lars P. Syll | Professor, Malmo UniversityAlsoStatistical Modeling, Causal Inference, and Social ScienceWhy do sociologists (and bloggers) focus on the negative? 5 possible explanations. (A post in the style of Fabio Rojas)Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics
Topics:
Mike Norman considers the following as important: communication
This could be interesting, too:
Jeff Mosenkis (IPA) writes IPA’s weekly links
Mike Norman writes Gabriel Popkin — Bacteria Use Brainlike Bursts of Electricity to Communicate
Oxfam Blogs — From Poverty to Power
When to write in DevSpeak; when to use Plain Language? More handy tips.
Duncan Green, strategic adviser for Oxfam GB
Related
Lars P. Syll’s Blog
Why statistical significance is worthless in science
Lars P. Syll | Professor, Malmo University
Also
Statistical Modeling, Causal Inference, and Social Science
Why do sociologists (and bloggers) focus on the negative? 5 possible explanations. (A post in the style of Fabio Rojas)
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University