Last I week I was invited to an 8TV magazine to offer my professional opinion about the supposed ¨most perfectly beautiful woman¨ on earth. The discussion was raised by a british TV contest (ITV Lorraine naked ) asked their audience to choose between 3 contestants (small range) who do they think that woman would be.
ITV & Lorraine Show target the mid-low household UK audience (housewives, unemployed, stay at home and family) with topic such as fashion, style, beauty, celebrities and lifestyle. these shows normally focus their effort on providing revindicating contents that make their watchers feel validated, comfortable and engaged.
No science or serious study is involved here just the opinion of a bunch of british TV watchers, who validate their values (white conservative housewife) as the most beautiful woman.
I am not saying Florence Colgate is not as beautiful as any other woman, she just happens to be the excuse of a system that revindicates the white, european, conservative housewife as a role model for their people. Learning from Chomsky´s lessons two principle would apply here:
6 – USING THE EMOTIONAL ASPECT OVER THE REFLECTION: Make use of the emotional aspect is a classic technique to cause a short-circuit on rational analysis, and finally in the critical skills of individuals. Moreover, the use of emotional registers allow you to open the door to the subconscious to implant or graft ideas, desires, fears and concerns, compulsions, or induce behaviors …
7 – HOLD PUBLIC IGNORANCE AND MEDIOCRITY : Make the audience unable to understand the technologies and methods used to control and slave them. “The quality of education given to the lower social classes should be as poor and mediocre as possible so that the distance of the ignorance between the lower and upper classes remains impossible to reach for the lower classes (see ‘Silent Weapons for quiet wars). ”
check out the video interview in catalan/spanish at http://www.8tv.cat/8aldia/videos/us-presentem-la-noia-amb-la-cara-mes-matematicament-perfecta-del-mon/