Before revision:  Alternatively, the title should be changed to : "Is human classification by experienced untrained observers a gold standard in fixation detection when data quality is very poor  ?" Numerous examples of various types of low quality data are presented herein.
After revision:  Alternatively, the title should be changed to : "Is human classification by experienced untrained observers a gold standard in fixation detection when data quality is very poor ?" , I would have no case to make. In the present report, I will present evidence to support my view that this latter title is justified. The low quality data assessment is based on using a relatively imprecise eye-tracker, the absence of head restraint for any subjects, and the use of infants as the majority of subjects (60 of 70 subjects). Allowing subjects with more than 50\% missing data (as much as 95\%) is also evidence of low quality data are presented herein.