It is the mark of a truly intelligent person to be moved by statistics
—- George Bernard Shaw
Recently, I had found my self with some off time leaving me with some crazy hypothesis to validate and try out for myself.
One of my experience when soliciting opinions of my pics from friends had an inherent bias in itself. Quite often, my female friends would have a favourable opinion compared to male ones. This led me to investigate if there is an inherent bias in the way a person responds to same gender pictures.
To check and validate for this hypothesis, I used a picture of mine and got it rated from Photofeeler for ratings from the community. The intent was to understand and capture if the hypothesis can be statistically validated.
Photofeeler is a means to get community votes to rate one’s pictures. You could either use earned karma to get votes or buy credits to exchange for votes.
Null Hypothesis : There is no difference in how different gender are perceiving picture attractive levels.
Alternate Hypothesis : The opposite gender will rate the picture’s attractive levels higher.
There is definitely some merit in how I’m being rated here. To further cement and keep the statistician in myself, calm. I checked for one tail t-test (Fisher Exact).
The corresponding p-value is not significant enough. I guess, the sample size is too small. A repetition of the test with larger sample size would have enough power to probably reject the null hypothesis. As of now, there is no in statistically significant inherent bias as I pre-assumed.
Looking forward to hearing from other people who might wanna try or had tried this particular experiment. Let me know what the results turn out to be.