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RE: Benefits of Pure Linear Reward Distribution
Mobile numbers can be fake. One can have many numbers. Also as you said it has benefits to allow people to stay anonymous, although many people don't care about being verified. Try to solve this issue in this way is not the highest priority of a blockchain, nor we have any advantage in this area.
I know mobile numbers can be fake. That is why I mentioned the SMS case using backdoors to send free messages for which European mobile operators ask multiple cents per SMS through the normal routes. Those SMS senders using backdoors are also using big farms of SIM cards, ie many mobile numbers. Intelligent systems in the network identifying the numbers operated by a single SMS sender through behavioural analyses. Most of these backdoor SMs senders are identified and blocked. Of course, once detected they may implement a different behaviour. But, the net result is that many of those SMS senders using the illegal backdoors are stopping there activities after some time; since it just becomes to complex and time consuming for them. Therefore the net result is less abuse of the networks. I really think this will also be the case within Steemit / Steem and similar frameworks and platforms when behavioural analyses is introduced to fight against multiple accounts controlled by the same user / group of users. In the end, I really believe true democracy will be necesary for platforms like Steemit to have an impact in our world as we know it. It could be that today it maybe to early to inplement what I'm bringing forward, but I truly hope such approach is considered as a possibility and the search is on how to actually implement, now or sometime in the future. Otherwise we always will be in worlds with the majority of the power at a few people which causes all the troubles we are facing in the world.
The fraud on mobile networks I'm talking about in previous messages above is called SIM Box Fraud. Some links to interesting articles about this:
Leading companies providing solutions to detect and block this type of fraud are:
In essence the solutions are based on protocol parameter analyses, pattern recognition and (self)learning algorithms.
Thanks for the info.