I’m looking for all possible solutions and thoughts regarding those IG-blocks we meet now and I’m trying to read and analyze everything, everywhere accross the Internet.
Yesterday I found very interesting suggestion regarding how Instagram calculates limits for different proxy subnets = accs. I found it very interesting, but I have no chance atm to test it.
I’m very interested in discussing this here, on mpsocial, as I find this forum the most useful and you guys here are the most experienced as fas as I feel it.
So I just copy-paste that post from one well-known forum
Well, some guy hit me up with a blogspot from a worker of IG, I dont remember the link so take what I say with the least serious considerations you can.
Instead of purging settings A, B or C IG found a better way to purge/damage automation users.
What is the same thing we all share in common?
We have different settings
We have different ways to create profiles
We have different niches
We have different automation tools
But we share the commom resource that almost none normal user stay close…
Whatever is your setting, whatever is the tool, whatever account creation method we are share the network trait of using proxies.
Well, what they did?
Now lets say we have the Subnet A of a Provider Called SpartanProxies.
Spartan Proxies sell IPV4/IPV6, but as every proxy need a real device/connection to mirror we can say Spartan Proxies of Bingolingo country share usually the same ranges and subnet.
What IG did?
Now they analyze all the comming traffic and requests of every range/subnet, that in our cases is Spartan Proxies that comes from Bingolingo country.
Lets say we have 10 users connected to that specific subnet/range…
Now we can say that the Average number of Actions PER USER is equal to:
All Actions / (DIVIDED) by 10 = the formula is number of all actions /(divided) by number of users
What they are doing now, they take the 25% of the users that used the lower number of actions on that subnet, that in this case would be 2 user and half, and then they compare.
Action made by 25% of users /(divided) 2.5 users[on this case] and you have the number of actions of the lower percentage of users.
Then they compare that average number of actions of the lowest action users on that subnet to the average number of actions of the subnet and with your specific number of actions.
Lets say 10.000 actions were done by all 10 users combined, 10000/10= 1.000 Actions Per user
Lets say 1000 actions were done by 25% of users, 1000/2.5 (on this case) 400 actions per individual 25% of users
This means that if you did 1500 actions you are considered a high risk user of that subnet, if you did 200 you are considered a safe risk user of that subnet and so on…
What that means?
Now they cross your average number of actions and compare to the subnet number of actions PLUS the average number of that subnet and with the country/state average number and with IG limits.
Lets say your subnet only consist of automation users, the average number of actions is 9000 monthly, who would be something like 30 per day.
If you did less than that you could be considered a safe user of that subnet. but NOT A SAFE IG user because your actions crossed their limits.
This is why the 6k/30 days is flexible and why some user have been able to follow again after some days of no action (that they become part of the lower 25% of that subnet).
Please mention that OP talks about DC proxies, but anyways it interesting.
So I have questions to you, guys:
- What do you think about this at all? Any proofs or arguments against?
- What do you think about limits for the LTE proxies? What are they? Any thoughts?
Let’s sort out with that, as untill we don’t understand the rules, we don’t have any chances to win the game.