Two overworked data points

In a recent test, my programmers created an American English speaking character on a Chinese social media site.  The character commented on world news and talked about a personal life gleaned from averaging profiles of Chinese social media participants, in order to attract a certain following and sway opinions in favour of a future business deal that didn’t really exist, to see if the Chinese “friends” would suggest the business deal on their own and/or invest in the companies (the real ones) or increase searches for the companies (including fake ones mentioned by the NAmE character).

In the world of unexpected consequences, the real companies’ stock values increased significantly enough to create some relatively wealthy people in other parts of the world, thus reinforcing the valued opinions of the fake NAmE character who, in turn, said the business deal that the Chinese “friends” eventually suggested had been discovered to be a rumour the NAmE character forwarded on purpose.

The Chinese “friends” were at first offended.

However, several of them decided to play the game themselves, enlisting the fake NAmE character to create more innuendos that induce stock-price building rumours.

The groupthink intelligence spread into other social networks, so that a bunch of social friends got rich by feeding rumours for stocks that had little or no value but increased enough for the investors to use exponential investment schemes to get rich slowly enough across several stock exchanges to not attract attention.

A social science professor figured out what my programmers had done and created a superset modeling program that spread multiple versions of our fake NAmE character into social networks around the world.

Now, I’m getting rich and building an offshore bank account the old-fashioned way.

I no longer have to worry that my retirement plan will reveal the underground/illegal market slush funds I created to eventually live the life I wanted as a financially-independent, aesthetically ascetic guru.

Time to break free?

We’ll see.

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