24-04-2025, 01:43 PM
A random number generator (RNG) creates an arbitrary sequence of numbers.
When two people run an experiment that includes a random number generator, they will not get exactly the same results. When the process that is being experimented is well-behaved (not chaotic), the results will be similar but not the same.
If one wants to verify an experiment on a process, then one wants to make sure that two people get exactly the same results. This can be done in case both people set the same 'seed' (starting point) for the RNG. (Note that there are also RNG's for which this will not work).
So people here are invited to use the seed 1405 in order to get exactly the same result. Using other seeds can be interesting in order to check that it creates similar results.
When two people run an experiment that includes a random number generator, they will not get exactly the same results. When the process that is being experimented is well-behaved (not chaotic), the results will be similar but not the same.
If one wants to verify an experiment on a process, then one wants to make sure that two people get exactly the same results. This can be done in case both people set the same 'seed' (starting point) for the RNG. (Note that there are also RNG's for which this will not work).
So people here are invited to use the seed 1405 in order to get exactly the same result. Using other seeds can be interesting in order to check that it creates similar results.


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