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Funny, I too searched this question earlier today. Presumably OP also was wondering what happens if Jimmy Carter dies before Election Day.


Carter’s son asked him “dad are you trying to live to be a hundred” to which he relied “no I’m trying to live long enough to vote for Kamala Harris”. I think he lives in Georgia so that’s where the relevant state law would apply.



Thanks!


From his blog: "I spent many nights trying to figure out the best way to sleep in first class. In the end, sleeping on an air mattress under the seats proved to be a good idea."

https://leben-im-zug.de/meiner-erster-monat-mit-der-bahncard...

So I guess he really is just sleeping in the regular compartment rather than a sleeper berth.


Yes. DB doesn’t operate any sleeper cars. All sleepers operating in Germany are by international corporations (ÖBB, etc). But they aren’t covered by a DB BahnCard 100.

The trains he mentions are just regular ICEs that operate for some overnight trips.

I can imagine how this can be reasonably comfortable in an older ICE1 in first class, but i wouldn’t want to sleep on ICE4 seats for extended periods of time


Think Bayes by Allen Downey is an amazing and free course teaching Bayesian statistics in Python. Save yourself the $50 and try it first: https://allendowney.github.io/ThinkBayes2/


Thanks for posting this as it seems very interesting. Did you go through the whole book/course? the preface claims that “You don’t need to know calculus or linear algebra. You don’t need any prior knowledge of statistics”. I am always a bit skeptical when i read these claims as the texts tend ultimately to be a bit superficial; it would be nice to have an informed opinion about it before starting it out :-) thanks in advance.


Yeah I have completed it, and I really like his teaching style. I’d say it might be a little tough if you have absolutely no knowledge of statistics. But as someone who wanted to do a deeper dive into Bayesian stats specifically I found it a good resource. The reason I ended up doing it was precisely because I felt that the section on bayes in most stats courses is too superficial


thanks!


I worked through large chunks of the book a long time ago (perhaps an earlier version). I agree with the other responder-- if you've had zero stats it may be more difficult, but the author does an excellent job of discretizing almost everything, which means that integrals and derivatives are replaced with adding and subtracting. For this book I think the most advanced math you need is multiplication and division. It's a clever trick that relies on the fact that computers are really good at multiplying 10,000 things by 10,000 other things and adding them up (which is what discretization implies here).

Before computers that was much harder to do so you needed clever math tricks to "do it all at once," which gets you to all the analytical methods -- calculus, etc. Still all very useful! Just hard to teach to a broad audience. Downey really leans into the technical advantage to computers provide and thus can cover a lot of material before getting into complicated math.


> the preface claims that “You don’t need to know calculus or linear algebra. You don’t need any prior knowledge of statistics”.

Downey makes this statement because his premise is that if you know Python, you can use that knowledge to learn the concepts without the pure math approach.

For example, he will do iteration to calculate integrals rather than teaching integration. And he will plot statistical distributions using a Python library to explore and teach the statistical concepts.

He also has a book called “Think Statistics” that is excellent in this regard.


Totally agree. Allen Downey's work is an under appreciated treasure.



Every Spotify wrapped is put together by hand


I had a good chuckle at this


They do use the excess heat for some public buildings in Islington https://www.islington.media/news/bunhill-2-launch-pr


I never knew this existed before and can't help thinking it's absolutely incredible. Thanks for sharing!


You are confusing the Internet Archive and archive.ph, which are very different things



And archive.is which is the one I see here the most.

Ok now I understand so many of the replies in this thread.

For anyone else reading thei who doesn’t know: Internet Archive is archive.org aka the Wayback Machine. It takes like 10 seconds to load a page but has years old versions of pages.


I see reddit as a replacement for the old "forum" search function that Google used to have. It's an easy first place to check and see if someone has information able a very specific niche.

An example would be something like the UKVisa subreddit. I want to know if someone else has run into the same issue that I had with the god awful 3rd party visa processing website that the UK have. I'm not able to find that information of Google - the best I can hope for is something along the lines of a general guide for how to process a visa from an immigration law firm. But on Reddit there is almost certainly someone who has run into the exact same issue, as well as others who have been through the process and can answer from first hand knowledge.


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