Jane Turner
Volunteer Moderator
I thought that this would be another useful discussion - that again different groups have slightly differ
ing views on.
It's our experience that population most affects the amount a faction can gain through positive BGS activity. The amount of effort to achieve that gain is the same, the variable is the limit itself. We don't see much/any evidence of diminishing returns in the positive cap - e.g. without opposition 10 + missions has an effect indistingushable from 200 + missions. The +ve cap appears to be related to 1/log[10]Population, though its actually quite likely that its determined by the CC value from poweplay.
We almost never have the luxury of a clean test system, but have been tracking the amount of "BGS points" equivalent to a + mission we have put in versus the starting influence and influence gained. In the graph here the bubble size is proportional to effort and the strength of colour related to the starting influence. You can see an upper limit (the effective cap) emerging from the data.
We have certainly seen the falls greater than the cap in our own systems when under "attack", suggesting that negative effects do indeed have a diminishing returns factor as opposed to a hard(ish) cap. We have never tested this, being mostly concerned with defence!
hmm image isn't showing - try this
>>>Here instead<<<
ing views on.
It's our experience that population most affects the amount a faction can gain through positive BGS activity. The amount of effort to achieve that gain is the same, the variable is the limit itself. We don't see much/any evidence of diminishing returns in the positive cap - e.g. without opposition 10 + missions has an effect indistingushable from 200 + missions. The +ve cap appears to be related to 1/log[10]Population, though its actually quite likely that its determined by the CC value from poweplay.
We almost never have the luxury of a clean test system, but have been tracking the amount of "BGS points" equivalent to a + mission we have put in versus the starting influence and influence gained. In the graph here the bubble size is proportional to effort and the strength of colour related to the starting influence. You can see an upper limit (the effective cap) emerging from the data.

We have certainly seen the falls greater than the cap in our own systems when under "attack", suggesting that negative effects do indeed have a diminishing returns factor as opposed to a hard(ish) cap. We have never tested this, being mostly concerned with defence!
hmm image isn't showing - try this
>>>Here instead<<<