>>14192767It's late, I meant "larger scale"
>>14192779>what do you mean by ""true"" in this scenario?"true" meaning whatever the results of the simulation tend to point to. Simplified example:
>Imagine a tiny room containing an incandescent lightbulb>Measurement A: power applied to the bulb>Measurement B: average temperature of the room>Measurement C: brightness of the roomIn your simulation you can adjust the following parameters:
>Parameter X: current flowing through the wires>Parameter Y: ambient temperature of the room>Parameter Z: ambient brightness of the roomYou'll find:
>adjusting X changes A and has a strong effect on B and C>adjusting Y changes B but has virtually no effect on A and C>adjusting Z changes C but has virtually no effect on A and maybe a modest effect on CThere you can make adjustments and run more simulations until you have enough data to confidently deduct the causal factors: "Is the temperature causing the changes to the power applied to the bulb? Is the brightness of the room causing changes to the temperature? etc...". For this simplified example you can go the route of using first principals, but for much larger/complex systems, you can only really learn from experience/simulations.
