Ben Matthews

Curious that the richer (western) countries seem more enthusiastic about taxing the rich …

Thanks, fixed! As you can see parts of the science code are already accessible via the ‘cogs’, but not yet the structural code - anyway keeps evolving, update soon.

Similar - I thought about codeberg for the source of my interactive climate model,
but am not yet ready to give it a pure-foss license - might split in parts with different licenses. Could try self-hosting.

I don’t buy this. I’m still using SMTP on my own domain and it’s working fine, a bit of spam but not unmanageable, real messages get read. Main challenge is digesting so many potentially-interesting list messages, indicating email’s continued dominance for professional topics. Seems this author has another agenda.
Having said that, it’s a pity the world never agreed a protocol for micro-payment for emails (and for many other services), which would resolve the spam problem, and not be a burden for honest users.

Depends whose lifetime. Mine, maybe not, but for my children - yes. Also depends what indicator - global CO2 emissions maybe falling this year, but temperature will lag decades, sea-level even more (btw I do model these scenarios, so know well how they diverge ).

Nice graphic. Although probably you’d see more info with just a lineplot, separating north / south + land /ocean. What strikes me is how regular the gap is over the last year, and how it bulges most in July-December, which suggests the ocean (larger and less variable) dominates the numbers, with El Niño overlaid on steady warming trend. To get it back down quickly, we need more effort on short lived gases - mainly methane (tackling aviation-indeed cirrus might also help compensate for reduced ship-sulphate cooling ) .

Thankyou for the tool, very useful, but hope they simplify this, so we can make trips across the country.

One reason people stick on Lemmy and other fediverse communities, is the choice of quality over quantity (in this case - wrt comments). So quality over quantity could also apply to platforms like Codeberg. Github has so many abandoned student projects or forks going nowhere - maybe making the effort to look beyond the obvious is an indicator of serious (new) projects and contributors ?

To separate the effect of demographic differences from the expenditure, might help to divide by an age-weighted population, rather than simply per capita. Also, is this expenditure converted to US$ in MER or PPP (for services the latter makes more sense)?

#1 would bias towards bigger countries. Migration flows are often shown as a circle plot - but not so easy to read as a map, and lose spatial relations.

Following from that - suppose we had that to/from flow data, how could we plot it in an elegant way ? And could imagine more dimensions - for example relative weight of factors influencing choice of where to study?