The Sinnoh stone can be obtained from the research breaktrough, once a day a chance to get it from team leader pvp and three times a day the chance to get it from pvp versus players
Thanks for sheding some light on this @Brobraam, really appreciate that.
Team Leader PVP - Is that the battle/training bit found from the pokeball menu, then swiping right?
PVP Versus Players - Is that battling other players?
Correct.
There´s other way to get them: the 7 days (weekly) research.
Brobraam told you the rules for the PvP way to get them (in a week you should get 1 to 2 only from the team leader daily battle), on the weekly it´s just luck.
And, there are other ways to get the Sinnoh Stone, this ones are MASSIVE LUCK: On gyms (gold) spins or on the 7 day in a row pokestop spin. Same of the evolution items, you can get a Sinnoh stone. But it´s very very rare to get them on this 2 ways.
Is the that number chance per the Math?
If it is, my luck sux massive.
Speaking from my own experience in only being able to do the 1 Trainer Battle a day its been 1 stone per roughly 21days.
It’s the same in the dice… You have a chance to gtet a 6 as 1 in 6. But that not means after 6 throws you have to have a 6. After thousands of throws the chance to get all six numbers is equal, but before…
And if we take it to very large sample sets (like millions or billions of throws) we’re likely to observe periods of streakiness, even long ones. (Math gurus have equations for calculating how probable it is for particular patterns of streaks to occur within random sequences, and a RNG will come with a margin of error for how uneven, streaky, or ‘lumpy’ the generated sequence can get before it’s unacceptable.)
We can aggregate statistics, but can’t use those aggregations for predictions. In a random sequence of captures the probability of a shiny each capture will be the same, no matter how the preceding captures have turned out.
In other words, there is no validity to the concept that a person is ‘due’ for a shiny if it’s been a long time since the last shiny. (I remember that rule clearly from my probability & statistics course in college, athough I couldn’t clearly explain then why that is the case, and I certainly can’t explain it any better now, 36 years later…)