I definitely do not want any formally defined distribution.
Do you have sample data you can perturb, mix, or otherwise use to generate test data?
I want lopsided distributions that are completely randomly generated.
Hm... Maybe transform your PRNG through a random, monotonic, nonlinear mapping? e.g. generate a piecewise-linear function (or spline) in each dimension with steps taken from the PRNG, then generate uniform random points and apply the function to them. I suspect a Real Statistician would scoff, but I am not such a person.

In reply to Re^3: Randomly biased, random numbers. by educated_foo
in thread Randomly biased, random numbers. by BrowserUk

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