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Nearly 200 upthumbs, more ?!
But the discussion explores broader and narrow variants, need to coalesce.
Nearly 200 upthumbs, more ?!
But the discussion explores broader and narrow variants, need to coalesce.
From the tasks described, it seems to me they were not measuring ‘Computer Skills’ as reasoning, patience, tenacity - people could have similar issues with similar tasks involving a pile of papers.
“…at a rate of roughly 0.05 percent per day … would take a very long time” … but by my quick calculation 0.9995^3650 is 84% per decade, which is not long. Almost instantaneous on a geological timescale - and think how much the world changed when fungi learned how to digest lignin in wood - ending the era of coal-forming swamps.
Hi, excuse me for replying so late, but i’ve been away from lemmy for.a while.
Well, to summarise, the model calculates the future trajectories, of population, economy, emissions, atmospheric gases, and climate response etc., according to a set of (hundreds of) diverse options and uncertainties which you can adjust - the key feature is that the change shows rapidly enough to let you follow cause -> effect, to understand how the system responds in a quasi-mechanical way.
Indeed you are right, complexity is beautiful, but hard. A challenge with such tools is to adjust gradually from simple to complex. Although SWIM has four complexity levels, they are no longer systematically implemented - also what seems simple or complex varies depending where each person is coming from, so i think to adapt the complexity filter into a topic-focus filter. Much todo …
I’m using Alexandrite, find it good
As it happens I’ve been calculating per capita emissions for 28 years, since COP2.
You can see my model here.
No I certainly don’t include Russia nor Turkey, although europe is more than EU. Korea is indeed notable.
Regarding what they call ‘consumption emissions’, you can get such data from Global Carbon Project, on that I’m less an expert but my hunch is that industry emissions are dominated by heavy products like steel and cement for construction (made with help of gigatons of coal), rather than light consumer goods for export. Over-construction is the root of the problem, global emissions will peak (maybe now) as that bubble bursts.
lopq’s original comment is correct for ‘whole west’ too. the second part is also true per capita. By the way europe also has a lot more people than united states, it’s not irrelevant.
You are right, it’s simple numbers, scientific fact, pity so much downvotes, people should check recent data rather than get stuck with old concepts from 1990s (when climate politics began).
Yes they invested enormously in high-speed train lines. But look on satellite image around those train stations, new city blocks have massive roads everywhere, 5 lanes in each direction, plus in parallel another set of toll roads. Even if those roads were empty , the cement and steel for all that has contributed enormous quantity of CO2 to the atmosphere.
Chinese emissions per capita are higher than european average for many years now, however they always pick the worst country in the world for comparison statistics.
Emissions per capita of China have been higher than the european average for about a decade now.
I can relate to this, having developed a coupled socio-emissions-carbon-climate model, which evolved for 20 years in java, until recently converted to scala3. You can have a look here. The problem is that “coupling” in such models of complex systems is a ‘good’ thing, as there are feedbacks - for example atmospheric co2 drives climate warming but the latter also changes the carbon cycle, demography drives economic growth but the latter influences fertility and migration, etc… (some feedbacks are solved by extrapolating from the previous timestep - the delay is anyway realistic). There are also policy feedbacks - between top-down climate-stabilisation goals, and bottom up trends and national policies, the choice affects the logical calculation order. All this has to work fast within the browser (now scala.js - originally java applet), responding interactively to parameter adjustments, only recalculating curves which changed - getting all these interactions right is hard.
If restarting in scala3 I’d structure it differently, but having a lot of legacy science code known to work, it’s hard to pull it apart. Wish I’d known such principles at the beginning, but as it grew gradually, one doesn’t anticipate such complexity.
Too true.
I still remember when java5 came out, many new features, great potential for a massive refactoring of my interactive climate model. Within that, I had an idea called “parallel worlds” for comparing scenarios, whereby for efficiency data was shared for parts of the system, and split across parts that varied as user adjusted parameters. So I pulled apart the whole codebase, and joined it back together again… - about two years later, by which time colleagues had given up interest.
[ story simplified to relate to point of OP - not only task in two years! ].
Now I develop a derivative climate system model in scala,
but evidently it’s more interesting to develop some new complex part of the science code, than fix a graphical interface for beginners. But moods vary - some days lacking energy for refactoring, could be satisfied ticking off a few small tasks in a todo list. Yet after some time, brain craving for another big new complex idea…
In defence of the jack-of-all-trades, if everybody is a cog in the machine, nobody sees the overview of how the cogs could connect.
For what it’s worth, here’s an overview of some cogs made by a j-o-a-t, for whom software developer is just a sub-role, within understanding complex climate system.
Hi, thanks for the encouragement, delayed response due focusing on the code, and a related conference, and now trying to keep up with the COP. As it happens, the “ratchet” system of pledges created in Paris (COP21) is an iterative algorithm - start with wild guesses and gradually improve them by feedback - this made sense given the weaknesses of diplomacy, but it’s hard to summarise this mess with neat code in a compact model.
Well, for example if I could reply to a mastodon post from my lemmy account - the poster would see that there (not here - but could show up on my profile page), and might follow it, so it could gain followers. To write such a reply, I’d need to somehow view the original post while logged into lemmy. My comments here do federate to mastodon, and if somebody searched for related words (at least from the instance from which I followed my #lemmy account) they should find this. Your “virtual community” seems like a mastodon list (I have a dozen such topic lists, that system could be better, but is improving), indeed it would be helpful to consider that alongside a lemmy community for similar topic.
the Lemmy devs tell you to use Kbin or Mastodon or anything else
So to reply to Nutomic’s closing remark on github:
I dont see why Lemmy should also implement that.
Because - if I could post to Mdon or reply to a Mdon post from my Lemmy account, some Mdon users (more numerous) might think - hey that’s interesting, I’ll follow that guy, then see my other posts to Lemmy, click and open up the whole thread (yes that works), and so eventually come to contribute to Lemmy too.
I don’t find that - using Mastodon (4.2) I can see threaded discussion in Lemmy - each comment as a post - but have to start somewhere.
I succeed to follow my own Lemmy account from my Mastodon account, it works (initially seems empty, but new posts/replies show up later). From there I could potentially boost or reply. If somebody clicks on my comment in Mastodon, they’ll find the whole Lemmy thread. This should help (more numerous) Mastodon users to discover Lemmy.
I discovered Lemmy via links from Mastodon, and so found i prefer these threaded communities.
Nevertheless individual “status” posts have a purpose too, we need both topic-focused and people-focused structures, these should overlap and connect better.
As my Mastodon account follows my Lemmy account, my posts/replies get into that system, more might be discovered if I included hashtags here. However I can’t do the reverse - follow a Mastodon account, or reply to or boost a post, from Lemmy. Communities might grow more if we could enable such interaction.
I see that says ‘has to be local only, not federated’ (same issue also discussed on github).
‘Local only’ suggests to me front-end, i.e. info stored by browser. In that case people who are often switching devices would have to re-organise on each one, which could be tedious.
So isn’t there something in between local and federated - i.e. saved by the instance as user-settings, but not pushed to other instances?
Maybe there could be some manual copying mechanism, so a user who organises a big set of communities could share with others. (This reminds me of mastodon ‘lists’ and various ways of organising and transferring them).