Windows source of randomness

Thanks for your feedback. Intel Optane p is unaffected and I assume its due to the fact it uses its own nvme driver. Rest of the performance stats are the same. Maybe my scenario will help Microsoft debug this. Therefor I did a clean install on the Samsung drive. Benchmark shows the same as image above. This is a clean install of Windows 11 so not much what can cause this issue in terms of programs or utilities. All drivers are up to date and so is Windows running version Could it be that the clean install enabled VBS and it was not enabled previously with just the upgrade?

So far it appears the dirve only opperates at full Random write IOPS when it is not the primary drive running Windows I'd like to know that as well. But so far I have yet to see that Microsoft has verified the issue. I am already glad to see that I am not the only one. Honestly I regret upgrading to Windows 11, so far has giving me nothing but a headache.

Bandwidth is still very very low, only the latency is fixed. A random number generator RNG that taps into the inherent randomness of a physical process typically consists of 1 a transducer to convert some aspect of the physical phenomenon into an electrical signal; 2 an amplifier to boost the amplitude of random fluctuations to a measurable level; and 3 an analog-to-digital converter.

First a nod to a low-tech RNG: dice! Small throwable objects with multiple resting positions have been generating random numbers at least since BCE, when Mesopotamians playing the Royal Game of Ur tossed tetrahedrons. The ancient Egyptians and Indians also enjoyed dicing, as did the Romans.

Impressive as this Roman 2nd century icosahedral sided die is, however, we can do six times better now. Need a random number between 1 and ? As long as they're not loaded and nothing in the environment or means of tossing favors certain outcomes over others, dice are a reliable way to produce mostly random digits. The going is slow, though. To fuel its postwar appetite for random numbers, the RAND Corporation needed more than dice—sided or otherwise.

Another example of the dark side of S. Add a comment. Active Oldest Votes. Improve this answer. Bill the Lizard Bill the Lizard k gold badges silver badges bronze badges. The Overflow Blog. Stack Gives Back Safety in numbers: crowdsourcing data on nefarious IP addresses. In the first case, we are interested in the existing finite population and our outcome of interest Y is regarded as fixed; randomness is introduced through the sample inclusion probabilities.

In the second case, we are interested in a broader "superpopulation" which we posit is generated through some random process, and thus our outcome Y is regarded as a random variable. In much of social science, researchers are interested in this second source of randomness. Hypotheses center around parameters associated with the probability distribution for Y - such as regression coefficients.