The Nasdaq welcomed Facebook on May 18, 2012. With a valuation of $104 billion, it was the highest ever for an IPO. The value of Facebook was its Big Data potential. With more users than half the world population, Facebook valued its shares at $27.37[1] per FB user. Free to join, yet the shift in values is corporate and one-sided. What portion of the value of your data should be used to sustain individual rights, freedoms, and equal opportunity for all? I think the best way to look at this is to protect the outliers and encourage progress organically promoting policy of smooth regressions (to the mean), a sustainable churning of opportunity for all. This model works regardless of political affiliation and is empirical (evidently) in nature. Let the Left and Right compete in A/B testing under the bell curve of social probabilities. The greatest benefit to all with the greatest opportunity for the individual should be the fulcrum we follow. The praxis of the populous.

If Facebook were to redistribute $104 billion to the half of the population living on less than $2.50 a day[2], the $27.37 would deplete rather quickly. Or would it? How would we test this theory? I would like to start a Foundation called, Twenty-Seven, Thirty-Seven (or an initiative within an existing Foundation) giving $27.37 to individuals living in extreme poverty.[3] Recording results, successes and failures is imperative. If you have an opinion on this please contact me. I have a fatal lack of experience in this area.[4]


  1. Book 3 of Treatise, part 1, section 1. ↩︎

  2. I used the calculation of $103 billion (initial IPO price) divided by 3.8 billion users (half the world’s population) and the result is $27.37 per share. ↩︎

  3. $2.50 per day as per Unicef. ↩︎

  4. Nearly 1/2 of the world's population — more than 3 billion people — live on less than $2.50 a day. More than 1.3 billion live in extreme poverty — less than $1.25 a day. 1 billion children worldwide are living in poverty. According to UNICEF, 22,000 children die each day due to poverty. ↩︎


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