Nice. Though a bit of context would be helpful. What is a z-score? Where is this from, and where can I read more?
A z score is a statistical concept that measures the rate above or below the mean something is
In many cases, a z-score between -2 and +2 is common. Anything outside that range is rare. Further away from zero you go, the rarer it gets.
In real life though, not all things follow the normal distribution, so z-scores aren’t always so easy to interpret. If the distribution is far from normal, z-scores are only marginally useful.
To add, about 2.5% of cases are below -2 and another 2.5% above +2 (specifically 1.96), so long as the original metric is normally distributed (bell shaped). About 68% of cases actually fall between -1 and 1, as most things tend to be close to average. That’s true of pretty much any true normal distribution, btw.
It’s a neat way to basically say, this isn’t a normal amount of phrase usage. It’s not a statistical test, though those concepts use a similar approach to probabilities.
When dealing with real world data, it’s always a good idea to check how normal it is. If that assumption is grossly violated, you have to work a bit harder and use more robust methods.
When it’s reasonably close to normal, you can take all sorts of nice shortcuts like z-scores and t-tests. I haven’t looked into this case yet, but I assume they knew what they were doing.
Yup, although technically you can still run z-tests and t-tests for statistical validity because samples are always normally distributed around a population mean (as long as it’s a large enough sample), even for skewed or uniform distributions. Some tests work better than others, though. The graphs z might be a sample, which might make sense is population data is available for these phrases, but otherwise I’m a little confused why that’d use it, lol.
To clarify for the commenter, though, Z-scores themselves can be applied to individuals; it’s just a simple conversation setting mean to 0 and standard deviation to 1. In that case, it’s strictly a relative case, that 2.5% isn’t a probability so much as the percentile – % cases that fall below that score. It’s a nifty metric to compare things that aren’t on the same scale, for instance.
A totalitarian regime using Ai to push their agenda. Big surprise. How about y’all get out and vote better before you can’t even access websites anymore. Oh wait…
Someone needs a dictionary
So? That’s what it’s for.
If my representative was using a robot to decide how to promote their ideas, I’d be pissed.
These people were elected to represent the people based (presumably) on their own words and opinions. If they can’t muster the energy to support their constituents themselves, without relying on a robot to spew up generic bile, then they should step down and let someone who cares do it.
They’re using a glorified spell checker. I don’t elect them so they can sit around writing speeches and day
