3 ms·
Bias is not a boolean quantity. The underlying data set is somewhat biased, and the "trick" being used greatly exaggerates the impact of that bias.
by Diggsey 7y ago
Bias is not a boolean quantity. The underlying data set is somewhat biased, and the "trick" being used greatly exaggerates the impact of that bias.
- bjourne 7y agoBias is a boolean quality. A random distribution is not biased. It really is not a "trick".
- 0xFluegel 7y agoAny finite sampling of any distribution (biased or not) can show bias. A feasible process that doesn't introduce or exagerate bias is the biggest problem when trying to get representative statistics. And bias can certainly be of different magnitude. A weighted dice can have a bias that shows up after only 10 rolls and another one can only show it's bias after 1000.
- dragonwriter 7y ago> A random distribution is not biased. It really is not a "trick". A random sample is not a product of a biased sampling method, but it can be (and almost always is) biased, it's just if you take enough such samples, the biases will tend to offset, which is why we say the sampling method isn't biased.
- bjourne 7y agoYou are splitting hairs.