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Good. I hope he is successful in taking them down. I know too many people who've wasted $$ falling prey to these MLM scams. I know an emergency room physicia

Good. I hope he is successful in taking them down. I know too many people who've wasted $$ falling prey to these MLM scams. I know an emergency room physician who stopped working as an MD to sell Arbonne products (another MLM like herbalife that sells makeup and diet shakes) after getting roped into it by a nurse we worked with. Now she is in the nurse's "downline." Utter waste of an education.

EdwardDiego 11y ago
When my wife and I were under severe financial pressure in the early years of our marriage, her father spent several hours subjecting us (well, her in particular) to an intense sales pitch about how much money we'd make selling Melaleuca (https://www.melaleuca.com https://www.melaleuca.com), a MLM he was involved with. My wife was insisting we sign his contracts, because it would be so easy to recruit only X people (I think it was 3 or 5, I can't quite remember) where X was the minimum number of recruits needed for you to earn your "passive income" from their sales. I had to take her aside, and write a short Python program to show that after seven generations of recruitment, the entirety of our country would be selling Melaleuca to each other. I still bear a grudge against her Dad for targeting us during a very vulnerable time.
- spacehome 11y ago
  A python program is kind of overkill for this.
  - feelix 11y ago
    that really depends on how you're showing the data. if you wanted to make it visual then a python program could be ideal.
  - EdwardDiego 11y ago
    It's a very easy Python script to write, and I wanted her to see the numbers get larger and larger.
- deleted 11y ago
  [deleted]
- KMag 11y ago
  > I had to take her aside, and write a short Python program to show that after seven generations of recruitment, the entirety of our country would be selling Melaleuca to each other. Layer 1 -> 1 person Layer 2 -> 5 people (6 total) Layer 3 -> 25 people (31 total) ... Layer N -> 5 ** (N-1) people ((5 ** N - 1 ) / 4 total) ... Layer 7 -> 15625 people (19531 total) Ahoy, Cook Islander! [0] Solving for the fanout to match the population of my Special Administrative Region [0] in 7 generations : (Fanout ** 6 - 1) / (Fanout - 1) = 7298600 Fanout ~= 23.380354 [0] https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_population https://en.wikipedia.org/wiki/List_of_countries_and_dependen...
  - KMag 11y ago
    Note that I actually solved the fanout to reach the whole Hong Kong population for 6 generations, not 7. Oops.

EdwardDiego 11y ago

When my wife and I were under severe financial pressure in the early years of our marriage, her father spent several hours subjecting us (well, her in particular) to an intense sales pitch about how much money we'd make selling Melaleuca (https://www.melaleuca.com https://www.melaleuca.com), a MLM he was involved with. My wife was insisting we sign his contracts, because it would be so easy to recruit only X people (I think it was 3 or 5, I can't quite remember) where X was the minimum number of recruits needed for you to earn your "passive income" from their sales. I had to take her aside, and write a short Python program to show that after seven generations of recruitment, the entirety of our country would be selling Melaleuca to each other. I still bear a grudge against her Dad for targeting us during a very vulnerable time.

spacehome 11y ago
A python program is kind of overkill for this.
- feelix 11y ago
  that really depends on how you're showing the data. if you wanted to make it visual then a python program could be ideal.
- EdwardDiego 11y ago
  It's a very easy Python script to write, and I wanted her to see the numbers get larger and larger.
deleted 11y ago
[deleted]
KMag 11y ago
> I had to take her aside, and write a short Python program to show that after seven generations of recruitment, the entirety of our country would be selling Melaleuca to each other. Layer 1 -> 1 person Layer 2 -> 5 people (6 total) Layer 3 -> 25 people (31 total) ... Layer N -> 5 ** (N-1) people ((5 ** N - 1 ) / 4 total) ... Layer 7 -> 15625 people (19531 total) Ahoy, Cook Islander! [0] Solving for the fanout to match the population of my Special Administrative Region [0] in 7 generations : (Fanout ** 6 - 1) / (Fanout - 1) = 7298600 Fanout ~= 23.380354 [0] https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_population https://en.wikipedia.org/wiki/List_of_countries_and_dependen...
- KMag 11y ago
  Note that I actually solved the fanout to reach the whole Hong Kong population for 6 generations, not 7. Oops.