How to lie With Statistics
By Wg.Cdr. Pongphet Congpuong. 2013
292 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6a20c1345cc48ca6c047cc82fb23f31da160f803
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Steven L. Franconeri
- Lace M. K. Padilla
- Marijn Janssen
- Jeffrey M. Zacks
- Priti Shah
- Anneke Zuiderwijk
- Jessica R. Hullman
- Yannis Charalabidis
Citations in the corpus
- Benefits, Adoption Barriers and Myths of Open Data and Open Government (2012, background): “In Huff’s book “How to Lie with Statistics,” a quote of H.G. Wells is cited: “statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write” (Huff, 1993, in: epigraph).”
- An Evaluation of Course Evaluations (2014, unknown): “[14]”
- Statistical Education in the 21st Century: A Review of Challenges, Teaching Innovations and Strategies for Reform (2012, background): “Today we see a large number of publications bringing to the public the message about misleading statistics, from the classic book by Huff (1954) which presents various examples, to the recent BBC series by Michael Blastland Go Figure: Seeing stats in a different way (2008 – March 2012,…”
- Visualization Rhetoric: Framing Effects in Narrative Visualization (2011, methodology): “Prior to coding, we familiarized ourselves with framing or bias techniques identified in semiotics (e.g., [2] [4] [10] [17]), statistical presentation (e.g., [20] [45]). decision theory (e.g., [12] [21] [46]) and media and communication studies (e.g., [31]).”
- The Science of Visual Data Communication: What Works (2021, methodology): “The line graphs in the upper left, adapted from Darrell Huff’s classic 1954 book How to Lie With Statistics, show how a line graph’s scale can be stretched to make a trend appear steeper (Huff, 1954).”
- Student Attitudes, Conceptions, and Achievement in Introductory Undergraduate College Statistics (2015, unknown): “This survey instrument was based upon preexisting survey instruments (Barkley, 1995; Gilovich, Vallone, & Tversky, 1985; Huff, 1954; Rogness, 1993; Shaughnessy, 1992; Sutarso, 1992; Wise, 1985).”