random sampling is an effective method for inferring the same information about the larger population that is being measured in the smaller sample, to a certain degree of confidence based on the sample size and known distribution of what is being measured. These concepts are fundamental to statistics.
URL shorteners came later, and solved the problem of people needing to deal with “more steps” in order to have short memorable urls. Achieving memorable urls in “less steps” is one of the major selling points of url shorteners.
However, url shorteners did not solve short memorable urls — DNS had already solved that. But, as you’ve pointed out, acquiring a domain and setting up DNS records takes more work than simply using a url shortener service.
DNS solved vanity memorable URLs, and continues to do so if someone is not looking for a .com
URL shorteners offering vanity urls solved people not needing to deal with the hassle of purchasing a vanity domain via a registrar, setting up DNS records, and waiting for propagation.
your local news. Like local elections, the stories covered by local journalists are more likely to make an impact in your daily life. And they’d certainly value (and even need) your support more than the NYT would.
> Regardless of what they are working on, if it doesn't exist, the value of it is presently zero.
That’s not true. Do you know how many multi-million-dollar companies have nothing more than an idea on a paper napkin that they managed to sell to investors? You didn’t even bring up the matter of whether they have investors who have placed a valuation on their business. Or even if they have paid into their own business’ equity, which is then of monetary value.
In fact a business’ monetary valuation has nothing to do with whether it has a product. Some high-value businesses have zero products. If we’re speaking valuation, what matters is the value of the assets they have listed under the business, their liabilities, their owner’s equity, etc.
I'd love to hear your long list of reasons why. This is coming from someone who has heard of Tik Tok but has never used it. I'm a late adopter to social platforms, joining Twitter in 2014 and not really using it until last year.
> Imagine if someone could white out a section of a book and apply the changes instantaneously to every printed copy of that book in existence.
Considering a fifteen year old YouTube video can resurface and the millions of votes can change the vote-ratio, digital media isn't necessarily the same as a permanent historical record.
yep the upper fence for the vertical scale is derived from the vote totals statistics. If the set of vote totals is now in votes per square mile, then there would likely be a different upper fence. Might be worth the number crunching to figure out what that number is.
BTW just to double-check, I'm assuming that in this given fillOpacity formula, that a fillOpacity > 1 just resolves to 1. So like fillOpacity : min(votesPerSquareMile/upperFence, 1).
Since electoral college votes are dispersed at a state level, it doesn't matter if those blue votes come from blue counties, so long as they go from a blue state to a red state.
Unless you're talking about the displacement that would be required for every county to be colored blue?
It’s kind of like the exposure on a photograph where there are some extremely bright spots, as bright as the sun. If you set the exposure to not clip those bright spots, you won’t be able to see the rest of the photo. Due to not being able to find a scale that faithfully reproduced the entire dynamic range (without visually equating population mountains to population plains), some clipping had to occur; a compromise. We could clip the few outliers using a standard statistical convention and retain the highs, mids, and lows that make up the rest of the image, or keep the statistical outliers and end up clipping pretty much everything else as a result. I included both renditions.
You’re correct that I didn’t say the overexposed graph is misleading. Neither graph is wrong, they both tell truths.
An article could probably be written about the one you’re inquiring about, that discusses how Los Angeles County, Cook County, and ~eight other counties are unlike any other county in the US in terms of population. Completely in a league of their own. As distant as they are, they may be more alike with each other than the counties surrounding them.
But there is also a lot of information to be gleaned from the photograph with the upper fence that leaves the non-outliers within gamut.
I kind of see where an_opabinia is coming from. Being able to tell which candidate won more counties could be accomplished via a 2x2 table.
But it would miss out on other information, which I think people are interested in exploring as well. The geospatial relationships are better presented in a map, and are preserved in a choropleth map in a way that hex maps and cartogram maps would distort.
Thanks for the comment. Yep Alaska was a tough one. Although Alaska is separated by boroughs, their voting data is not. Researchers come up estimates for how each borough likely voted, but there can be different estimates depending on the methods used. Because of this, it felt more accurate to go with the concrete data that we had, even if it was not at the borough level. Although, I think there is merit to the argument that borough estimates should be used, even if they may not be accurate down to the last recorded vote.
Yeah, I'm on the same page. An idea for a follow-up map has been to do votes per thousand. I'm curious to find out what that resulting map would look like