Used GPT to get the numbers real quick and it came up differently. Definitely should have checked the sources.
Point remains though that 2020 is a statistical outlier election that resulted in a 22 million total vote count increase over 2016.
Joe Biden had signs of dementia in 2020 and barely campaigned publicly. Somehow this old bag with not one inspiring historical speech or rally, riveted voters to turn out in numbers higher than any president in history.
Somehow these same voters that were motivated to stop the orange man in 2020 disappeared in 2024, when orange man runs for a 3rd time.
2012 Obama and 2016 Clinton got roughly the same number of votes (~65M), somehow in 4 years time Biden was able to rally an additional 16 million to the polls, with his sheer intellect and brilliance and inspirational qualities.
And then his VP comes up 7 million short 4 years later against the same "existential threat", despite all the same provisions for mail in ballots etc being in place. It's like Covid restrictions were used as cover for massive voter fraud.
Well, first of all, you've moved the goalposts quite a bit. 14 million down to 7 million cuts the supposed problem in half.
I don't think it's particularly complex, most people vote based on the tangible issues they're experiencing. It shouldn't be surprising that they voted against the incumbents each time. In 2020 they didn't like Trump's handling of COVID so they voted against him. In 2024 they didn't like Biden's handling of inflation so they voted against his VP. Just as some people were motivated to vote for those reasons (among others), many people lost their motivation to vote at all.
Regarding the difference between 2012 Obama and 2020 Biden, Trump also received more votes in 2020 than Obama did -- in fact, he surpassed Obama's vote total in 2024 as well. Trump in 2020 and 2024 even surpassed Obama's vote totals from 2008, even though Obama received 3.5 million more votes in 2008 than in 2012. Really, it's pretty simple, there were 16 million more people in the US in 2020 than 2012. Of course the raw vote numbers went up.
The vote totals aren't a strong point. In 2020 there were 152,320,193 votes cast between the two main candidates; in 2024 there were 155,508,985 votes cast. That is, more people voted in 2024 than in 2020, so claiming that 2020 was some statistical outlier with a bunch of extra votes doesn't really make sense.
Lots of AI things are features masquerading as products. Microsoft already has the products, so they just have to add the AI features. Customers can either start using a new and incomplete product just for one new feature, or they can stick with the mature Microsoft suite of products they're already using and get that same feature.
Well, those companies were all successful, it's a bit of survivorship bias to only consider those. How many companies operated at a loss for years and eventually went out of business?
Maybe CDN isn’t the right term after all, see I’m not a software engineer!
But, basically I wanted a way to have a custom repository of fonts a la Google Fonts (found their selection kinda boring) that I could pull from.
Ran fonts through transfonter to convert them to .woff2, set up a GitHub repository (which is not designed for people like me), and set up an instance on Netlify, then wrote custom CSS tags for my ghost.org site.
The thing that amazes me is that aside from my vague whiff of GitHub, I had absolutely no idea how to do this. Zilch. Nada. Chat GPT gave me a clear step by step plan, and exposed me to Netlify, how to write CSS injections, how ghost.org tagging works from styling side of things. And I’m able to have back and forth dialogue with it, not only to figure out how to do it, but understand how it works.
Sounds more like a Continuous Integration / Continuous Deployment (CI/CD) pipeline - defined as a set of practices that automate the process of building, testing and deploying software. Or rather, fonts in this case.
A Content Delivery Network (CDN) is a collection of geographically scattered servers that speeds up delivery of web content by being closer to users. Most video/image services use CDNs to efficiently serve up content to users around the world. For example, someone watching Netflix in California will connect to a different server than someone watching the same show in London.
Yes, it's an ever patient teacher that's willing to chop up any subject matter into bits that are just the correct shape and size for every brain, for as long and as deep as you're willing to go. That's definitely one effective way to use it.
If every rider was independently proposed the outcome wouldn't be the same, reconciliation wouldn't apply and 60 Senate votes would be required to pass them.
To illustrate your point, three of the current justices on the Supreme Court earned their law degree from Harvard: Jackson, Gorsuch, and (Chief Justice) Roberts.
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