Astonishing
Astonishing
A Washington Post writer took bait thrown out by a fake Congressional candidate with a Twitter account. Jonathan Capehart, who writes a political opinion column in the Post, responded to a Tweet by Republican Representative Jack Kimble of California's 54th Congressional District. Kimble wrote, "Check the budget, Bush fought 2 wars w/o costing taxpayers a dime." Capehart responded by describing Kimble's statement as a "stunning bit of fiscal ignorance" and analyzing the country's budget and fiscal problems.
This cracks me up because it is often said with such confidence, but it is just wrong.
If you have 10 people, 8 have an intelligence score of 1, 1 has a score of 5 and 1 has a score of 10. The average is 2.3 which means that 80% of the people are below average.
The median is the only thing that is going to guarantee 50%.
Average is always mean.
Just like the average person
No. It’s not.
a single value (such as a mean, mode, or median) that summarizes or represents the general significance of a set of unequal values
Depending on the context, the most representative statistic to be taken as the average might be another measure of central tendency, such as the mid-range, median, or mode.
I’m overthinking this.
If everyone gets the full mark, it’s not a random variable anymore, you would have a collapse of the probability distribution, that would tend to a Dirac delta function. In this case, the very definition of “quartiles” would fail. So, yeah, there would be no one there because it wouldn’t exist.
And there’s a certain brilliance to that choice in that everyone, even if they don’t fully understand the statement and it’s implications, everyone always laughs.
He tricked the stupid half into laughing at their own stupidity.
I think a lot of the time people see stupidity in differences of values and limited visibility of the context the decision was made. I think this is why so many people think so many people are stupid. ‘Stupid people’ make choices that the observer sees as having ‘poor results’.
Like when a lane ends on the highway:
– People are stupid (and selfish) for not letting cars in when their lane ends (dangerous)
–People are stupid (and selfish) for waiting until the last minute to move over (dangerous)
– People are stupid for moving over well before their lane ends (missed opportunity to get ahead)
– people are stupid for being in either of those lanes that merge when there is a third lane that doesn’t merge… (short sighted and dangerous) (no I won’t let them in! They should have thought ahead)
–People are stupid (and selfish) for driving cars (dangerous, climate change)
–People are stupid for thinking it’s reasonable to live without a car (missed opportunity to get ahead)
Not me though, I consider everything from all sides all the time no matter what. Anyone that doesn’t invest their time like this to make decisions is… stupid. (/s)
No, this is how a graph showing quartiles will always look because quartiles, by definition, always include a fixed percentage of the studied population under them.
In this case the lower quartile will always have 25% of the population under it, 50% under the second quartile, and 75% under the third quartile.
Quartiles break a population into 4 equal portions.
I would like to never hear about The Bell Curve ever again.Contact:https://twitter.com/shaun_vidshttps://www.patreon.com/shaunfromyoutube Section time codes:...
I think you’re talking past each other — you’re talking about the box plot and they’re talking about the histogram
Yes I think it’s very possible that if you were to graph a population’s Intelligence using a some empirical score, then it has a high probability to NOT look exactly like a normal distribution.
For example, let’s say that there was some score called “intelligence score” that scores people’s intelligence from 0-100. Do you think that if you were to graph a given population’s “intelligence score” that it would be EXACTLY centered around 50 in a Normal distribution? I think that’s unlikely. It’s more likely that there would be local maximums or minimums, or various skews in the graph. There could be a small peak at score 75, or a trough at 85. There could be all sorts of distributions. And guess what? Given this hypothetical distribution, you could STILL draw lines somewhere on the graph showing quartiles.
In fact, all kinds of distributions can be broken into quartiles, not just normal distributions.
Is there a c/IGotTheJokeJustWantedToMakeAGeneralPointAboutTheArtificialityOfIntelligenceQuotients
I swear if all the snide little pricks come over from reddit too I am going to have to abandon Lemmy also.