Talk:Color blindness

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Former good article Color blindness was one of the Natural sciences good articles, but it has been removed from the list. There are suggestions below for improving the article to meet the good article criteria. Once these issues have been addressed, the article can be renominated. Editors may also seek a reassessment of the decision if they believe there was a mistake.
Article milestones
Date Process Result
January 17, 2007 Good article nominee Listed
May 17, 2009 Good article reassessment Delisted
Current status: Delisted good article
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Famous colour blind artist[edit]

Clinical and Experimental Optometry has an article showing that Clifton Pugh on biographical, inheritance and other grounds was was a protanope. I have looked hard but cannot see any place suitable for this information in the article. There is no section for "notable color blind people" though such sections exist for example for Prosopagnosia. I have put this information with reference (more details are in the online abstract) in Color blindness and occupations though this is not the ideal place. However the information is important since it shows that color blindness should not stop people for seeking to become artists if that is their talent.

Improving the section on "Frequency of red-green color blindness in males of various populations"[edit]

The section on "Frequency of red-green color blindness in males of various populations" could be improved with a little narrative and possible some confidence intervals and a plot. If "N" in that table is the number of people sampled from the indicated country and "%" indicates the proportion of those with red-green color blindness, as seems implied, then it's a relatively straightforward matter to compute a 95% confidence interval for each country. I say "relatively straightforward", because there are at least a dozen different procedures that give slightly different answers. A recent comparison with software is available with the "proportions" and "binom" packages for the R statistical programming language from the Comprehensive R Archive Network. Fortunately, there is a vignette for the "proportions" package that compares the different procedures. Without reviewing that, a reasonable approach (if not the best overall) uses the logit transform.

I'm not prepared to do the research to confirm that these numbers mean what they appear to mean. However, if someone else can confirm that, I can compute confidence intervals, add them to the table and add a plot, showing the estimates with confidence intervals. I might also provide a plot to use either in addition to or in lieu of the table. DavidMCEddy (talk) 04:09, 3 February 2016 (UTC)