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Sadly, the article has moved

Looks interesting. Do you have a (draft) table of contents?

Still pushing around things – what really helped me was to see it like a "travel guide". There are different "sights" at the (moving) edge of the possible/thinkable, and I wanted it to be somehow more than just a "trip through time".

Cool - I'll sign up and look forward to see what comes up.

A long time ago I shopped around a non-fiction book roughly titled "The Future of the The Future of Work" that looked at what people talked about / wrote about / researched as "The Future of Work" and how that could help us shape our thinkinkg of what the future of work would actually look like. Very niche and naval gaze-y, but really entertaining.

Good luck with the writing!


Thank you, also for the note regarding "the future of the future of work" - I didn't know it!


Just read the egg. Amazing! I had read Weir’s other works and somehow missed this. Thanks for sharing!


Always a favorite!

Original submission with lively discussion: https://news.ycombinator.com/item?id=12365693

All past submissions: https://news.ycombinator.com/from?site=hackernewsbooks.com


Oh yes, I should have looked at it before posting :(


No worries. I clicked and browsed for a bit and thought- wait a minute. I think I saw something similar to this! Searched for a bit and found it :) thanks for sharing it - found a few new books for my collection.


I've never tried to hire a 10x Engineer.

That said, here's one potential approach:

- ask your engineers who they are learning their skills from (YouTube / blog posts / universities / online courses / etc)

- go and ask those people who they would recommend in the specific area you are working on (consulting fees for an hour chat are a normal part in this world)

- if a few names come up, those will be your 10x engineers


Congratulations!


Thank you :)


Love this line from your post "The marathon is simply an exhibition of the labor it took to achieve it, it is not the goal in and of itself."


Hi

Have you looked into these two?

- Trustworthy Online Controlled Experiments by Kohavi, Tang, and Xu

- Statistical Methods in Online A/B Testing by Georgi Georgiev

Recommended by stats stackexchange (https://stats.stackexchange.com/questions/546617/how-can-i-l...)

There's a bunch of other books/courses/videos on o'reilly.

Another potential way to approach this learning goal is to look at Evan's tools (https://www.evanmiller.org/ab-testing/) and go into each one and then look at the JS code for running the tools online.

See if you can go through and comment/write out your thoughts on why it's written that way. of course, you'll have to know some JS for that, but it might be helpful to go through a file like (https://www.evanmiller.org/ab-testing/sample-size.js) and figure out what math is being done.


PS - if you are looking for more of the academic side (cutting edge, much harder statistics), you can start to look at recent work people are doing with A/B tests like this paper -> https://arxiv.org/abs/2002.05670


Even more!

Have you seen this video - https://www.nber.org/lecture/2024-methods-lecture-susan-athe...

Might be interesting to you.


I’ll second Trustworthy Online Controlled Experiments. Fantastic read and Ron Kohavi is worth a follow on LinkedIn as he’s quite active there and usually sharing some interesting insights (or politely pointing out poor practices).


speaking of Georgi Georgiev, I can’t recommend enough his AB testing tools at https://www.analytics-toolkit.com

being able to tell when an experiment has entered the Zone of Futility has been super valuable.



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