ianbooker

I remember to this day the exact location I was when being introduced to construct hypercubes, to the exact bench in our uni cafeteria. It changed my understanding of multidimensionality completely.

I would suspect that a prosperous and thereby complex economy also has more resource to discover or document inscriptions. While they talk about researcher bias, they do not really mitigate this.

And yes, I searched the article and the extensive additional material.

Still a valuable contribution.

Yet, this is not even half the work. It like a third of the way.

Before you could have invented PageRank, you must think in graphs. That is possible in 1996, but not as widespread as today.

After you invented PageRank, you still need to deploy it. Again, possible but challenging as well. Is Python performant enough in 96? Can you afford more than 4MB RAM?

At least Lego will not sue you for using their bricks to build a server rack in 1996.

Did anyone ever try to estimate storage inflation across time? 7GiB could be one or two pc games in 2026, in 1992 one games likely was 1.4MB.

Throughout the years they were cautious when it was introduced, thankful after it was established, and now they are too young to know any other world.

And yes, USB as main connection standard was driven by Apple. But USB as main charging standard was set by the EU.

I agree. Something similar could have happened 30 years ago, and it did, see Transport Tycoon (or a lot of early games). But from 2000 to 2020?

First, usage: Using R for our undergrads in time of LLMs is brilliant. ChatGPT slops out working code for their needs. Not pretty but works better that in 2022.

Second, development: Mastering R is hard, because its kalkül. Tidyverse mediates some of it, but still. This is the perfect breeding ground for slopification. Lets see.

Third, errata: I would love to know the percentage of science built on R to this day. I mean insights and analysis supported by it and it vast packages. What if somewhere, deep down in the stack there is an ancient bug that dented all of this? I think AI might help us here, or review slop will negate this?

This is an effect of privatization gone wrong, with the national service, the infrastructure, the regional services (each), the network (not in infra), cargo and then some (sub)companies split for privatisation and an IPO that never happened. The highly segmented network is not digitalized in to any standard, so regional trains have to operate in policy frameworks and network cells that favor long distance trains. Its utter chaos on a daily basis.

So a SVG you authored 20 years ago for some browser will likely work everywhere today.

That would be an interesting story!

Is this a Nokia Watch or rather a Nokia Cuff?

Boxing for example could calculate the amount of kinetic energy brought to the table and how much of it landed or was sidestepped. How much was absorbed? Not easy to do, but also not impossible.

I teach my students what you see in most social science papers, and in the light of the article at hand, I would call it "stepwise presentation of multivariate regression".

When it comes to the task of explaning, I think presenting different models, with a discussion what your pick is, provides good value to readers.

That said, I agree to the sentiment of the article but not the wording. "Blind" or manipulative stepwise deletion will decrease falsifiability of your work. That should be more provocative to scientists than evil.

VW as a brand went upmarket in the 2000s, with Skoda / Seat / jvs going for the meat. They became world class in repackaging and rebadging, and EoS helped a lot. That also made them kind of conservative in engineering, since everyting everywhere is super path dependent. You could find the same switch in a Seat Arosa and in a Bentley.

They are not trying to make a good EV, they try to replicate their ecosystem as a whole and that needs EoS above anything.