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@@ -14,6 +14,8 @@ But start here:
 
 * William S. Cleveland's books, _Visualizing Data_ [@Cleveland_1993] and _The Elements of Graphing Data_ [@Cleveland_1994], are classics in the field of statistical graphics.
 
+* Kennedy Elliot, [Everything we know about how humans interpret graphics](https://www.youtube.com/watch?v=s0J6EDvlN30), video of talk given at OpenVis conference, 2016-04-25 & 26.
+
 * Elijah Meeks, ["What Charts Do"](https://medium.com/@Elijah_Meeks/what-charts-do-48ed96f70a74) (2018-05-21) is a succinct summary that's worth reading.
 
 * Cole Nussbaumer Knaflic, [_Storytelling with Data_] [@NussbaumerKnaflic_2015]. A great introduction to the fundamentals of good visualization. The [companion blog](https://www.storytellingwithdata.com/) has is an on-going series of further dives into the topic.
@@ -37,6 +39,9 @@ Design Space of Data Visualization"](https://www.sciencedirect.com/science/artic
 
 * Karl Broman, [The top ten worst graphs](https://www.biostat.wisc.edu/~kbroman/topten_worstgraphs/)
 
+* Keith Collins (2015-12-23), [The most misleading charts of 2015, fixed](https://qz.com/580859/the-most-misleading-charts-of-2015-fixed/); good discussion of problematic choices with axis scales.
+
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 * [Financial Times Visual Vocabulary](https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary), "A poster (available in English, Japanese, traditional Chinese and simplified Chinese) and web site to assist designers and journalists to select the optimal symbology for data visualisations, by the Financial Times Visual Journalism Team."