pancake

Edit: tl;dr: all tools seem to be capable of 28 nm process, except the lithography machines. However, the report (why?) doesn't include the most advanced lithography tools that are known to be manufactured.

Source

Today they published a new report in the series. To my surprise, it includes a second chart with revenue-based data. Enjoy!

First of all, I'm sorry if my question could be easily answered by finding the right source. Overall I'd say I read very little theory written by contemporary comrades, and that's something I need to fix once I have the time.

Remember this post (tl;dr: did an A2 Russian language examination after nothing more than Duolingo lessons for two years)? Well, I passed the tests! Performed kind of poorly in the essay, as expected, but still well enough not to hurt my overall score; spoken test went fine (to my surprise), as did the comprehension tests.

1 more year has passed, and I'm still tracking these numbers, albeit now posting with a different username. The upward tendency has not just continued, but even increased; now Linux is nearing 4 % market share globally and over 2 % on Steam.

I'm taking a CEFR A2 Russian language exam in a few minutes. Let's see if a massive Duolingo addiction is all it akes to crack it.

cross-posted from: https://lemmygrad.ml/post/4288517

I remember this post that compared the quality of life in the DPRK and the US. There are many ways in which traditional stats like the GDP per capita exhibit bias in favor of some countries; countries may differ in their...

• ...distribution of wealth.
• ...basic expenses.
• ...cost of products and services.

So, I decided to give it a shot. I started from median wealth per adult values published by UBS (data from 2022); my logic was that two people who end up, no matter their income, with the same amount of expendable income will acquire a similar amount of value in the form of equities, real estate, vehicles... By using the median value, I make sure that wealth in countries with high inequality isn't overestimated.

Then, I multiplied these values by the ratio between adjusted (international dollars at 2017 prices PPP) and unadjusted GDP per capita of each country, using data from 2022 by the IMF.

There are some interesting things to note within the map. Enjoy!

I remember this post that compared the quality of life in the DPRK and the US. There are many ways in which traditional stats like the GDP per capita exhibit bias in favor of some countries; countries may differ in their...

• ...distribution of wealth.
• ...basic expenses.
• ...cost of products and services.

So, I decided to give it a shot. I started from median wealth per adult values published by UBS (data from 2022); my logic was that two people who end up, no matter their income, with the same amount of expendable income will acquire a similar amount of value in the form of equities, real estate, vehicles... By using the median value, I make sure that wealth in countries with high inequality isn't overestimated.

Then, I multiplied these values by the ratio between adjusted (international dollars at 2017 prices PPP) and unadjusted GDP per capita of each country, using data from 2022 by the IMF.

There are some interesting things to note within the map. Enjoy!

It's really cool that the trend is going on. It's also interesting how this seems to correlate so well with inflation in the US (ignore badly applied statistical test):

Guess that capital gotta keep expanding at all costs :)