460 karma · joined September 22, 2008
It is always fun to dissect these scams. There's an interesting e-commerce scam prevalent in India that popped up as the country embraced e-commerce without much credit card infrastructure in place (most online orders are paid to the delivery person in cash) https://simility.com/delivery-fraud:
"The fraudster businesses ordered hundreds of products from the victim’s website to be delivered on a daily basis. Meanwhile, if customers came into their store asking for an out-of-stock product, they were told it would be in stock later that day. Then the fraudsters paid the delivery person in cash for the small fraction of products they had pre-sold to customers, while returning the vast majority of unsold products without paying for them at the cost of the e-commerce company, thus completing the delivery fraud cycle."
Not true. In the article, the writer pays Russell $15 for 1,000 likes. Being generous and assuming each of Russell's fake accounts can farm out 100 fake likes, he's making $1.50 per fake account before it gets shut down. Compare that to social networks where you can directly extract payments from other members by listing fake items for sale, laundering payments from fake credit cards (on other fake profiles) to yourself, or link-baiting other users. A single successful fake account on those networks can easily net you $100.
> Facebook has methods that radically exceed this method in both complexity, precision, and recall.
Agreed, and indeed Simility's models have much more complex methods too, but a) I wanted to post an interesting example everyone here would understand and b) I still say Facebook is not using anywhere near its full ability to stop these fake profiles given how rampant this fraud scheme is on their platform. (Again, follow the money, FB has very little incentive to stop these fraudsters who are only inflating their own numbers. It's important to keep them in check, but there's no incentive to waste resources stopping them.)
One effective strategy we've employed not mentioned here is category mapping: if an account of type A, only targets accounts of type B for likes (especially if they ignore categories C, D, etc.), this is usually a high indicator of fraud. For example, one very common strategy is to create a fake account for an attractive female to friend many male accounts (especially relatively new accounts unaware of these tactic). This can be easily detected by analyzing the gender and account age of all targets and coming up with a diversity score. Low diversity score = likely fraudster.
But I don't think keeping jellyfish in captivity is unethical. They're somewhere between a goldfish and a houseplant in terms of sentience. They have no central nervous system; just a loosely connected net of nerves that control their muscle contractions and very simple senses, like swimming towards light and migrating up in the water column at night and down during the day.
I would argue that it definitely is unethical to keep cephalapods in captivity unless they have a big tank and some sort of stimulation.
I know, weird. But jellyfish are a hot new trend in personal aquariums. We just started an affiliate program that is doing really well. Our affiliate commission is 5%, conversion rate is 0.25% and average purchase is $198. Would you be interested in signing up as one of our affiliates? We have banner ads you can run.
he's got pics at: http://checkoutmyink.com/profile/billythebillboard
I'm building some simple software to go into the site soon to automate a lot of the marketing
I got great feedback and found a programmer from hacker news a few weeks ago
Got a new website up, keep it coming
ramen profitable!