#Development #Analyses
The orders of complexity of websites · Why big web features fail small websites https://ilo.im/164nnv
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#Simplicity #Complexity #WebPlatform #WebTechnology #Websites #WebApps #CMS #IndieWeb #SmallWeb #BigWeb
tasteful nude
A job-based assessment of economic complexity: from hidden to revealed https://arxiv.org/pdf/2507.05846
"… develop a multipartite framework to connect four layers of nodes: #skills, #occupations, #industries, and US counties. From the skill-occupation network, we algorithmically compute an assessment of the economic #complexity, or fitness, of jobs. Then we compute our estimate of the complexity of industries by averaging the fitness values of the jobs active in a specific industry. Finally, the fitness of US counties is the sum of the complexity of the industries that operate in that territory.
… approach has a number of advantages. First, it allows for a natural inclusion of services, a fundamental aspect that is often neglected in the economic complexity investigations because of data unavailability. Second, it permits the computation of the fitness of those counties with a small or null manufacturing activity. Third, it solves the numerical problems of the algorithmic assessments of the economic complexity indicators, namely the presence of very small values and the emergence of multimodal distributions. Even more importantly, the hidden complexity is positively associated with local economic #growth and predicts both wage levels and labor #productivity growth"
#wages #LaborEconomics
A quotation from Bill Watterson
CALVIN: The more you know, the harder it is to take decisive action. Once you become informed, you start seeing complexities and shades of gray. You realize that nothing is as clear and simple as it first appears. Ultimately, knowledge is paralyzing. Being a man of action, I can’t afford to take that risk.
HOBBES: You’re ignorant, but at least you act on it.
Bill Watterson (b. 1958) American cartoonist
Calvin and Hobbes (1993-09-21)
Sourcing, notes: wist.info/watterson-bill/4909/
#1
#2 the source of the anger is not that #climatechange is happening, but, first, that "nothing has been done to prevent it", and then there is this pure, helpless rage at the fact that we do not even seem to understand the actual reasons why we are not acting...
it is the #complexity, humans struggle so much with it.
A sentence should be enough to get the idea across.
— 37Signals
Well-designed components are easy to replace. Eventually, they will be replaced by ones that are not so easy to replace.
— Sustrik's Law
Reboot podcast (18-7-2025): Αλγόριθμοι, ΑΙ και Θεωρία Παιγνίων
>> https://youtu.be/bHPQB1Pc91o
>> https://open.spotify.com/episode/01lIJC491YCPAgAS7cZnkS?si=N0fG1GcZRjS3AQyxh2_jBQ
Στο σημερινό επεισόδιο συζητάμε για δύσκολες έννοιες με απλά λόγια, όπως για το πως η γλώσσα και ο γραπτός λόγος εξυπηρετεί την ανάπτυξη της νόησης.
Wow.
"under conventional positivist frameworks, the majority of the most pressing issues are ignored: non-linear dynamics, multi-stable states, multi-scale behavior, slow/fast variable dynamics on the systems side and adaptive change, surprise and inherent unpredictability on the policy side. ... the “science” in traditional ecology is typically quadrate-science small scale, short term. For it is the only way to pretend that one can be certain. In essence the primary root to success under conventional science is to define a trivial question, use a replicated experimental protocol, and avoid type one error. I saw this vividly among the 60 editors of Conservation Ecology (a journal begun in 1997 that has come to be called Ecology and Society). Those who function at scales below a few meters or a few decades (from population genetics to quadrate ecology, population ecology and community ecology) tended to react to papers by wanting precise answers rather than interesting questions. They searched for what is wrong in a paper, rather than what might be relevant and novel. Their ignorance of the broad scientific literature, or even other areas of ecology and environmental science, was profound. Above that scale, the editors were just about the opposite. Their backgrounds were multidisciplinary with strong roots in one discipline, interests in both theory and practice that extended across large scale and cross scale systems."
CS Holling, in https://doi.org/10.1017/9781108235754.003
no one of these people predicted that in years time humans will basically all lose their minds and put a demented donald effing trump and a strange car salesmen from the future in charge of the world because they read on the internet that the flouride in the water turns the freaking frogs gay or whatever?
they predicted "a reduction in #complexity", but be fucking honest, guys
you didn't predict shit.
How does one talk to Serious People in science, policy and finance about complexity and the inescapable interconnectedness of all things without sounding like a crackpot?
｢ Everything’s optimised for developers – and hostile to everyone else.
This isn’t accidental. It’s cultural. We’ve created an industry where complexity is celebrated. Where cleverness is rewarded. Where engineering sophistication is valued more than clarity, usability, or commercial effectiveness.
It’s easier to win an argument by citing SSR compatibility issues than it is to ask, “Why are we using React for a blog?” ｣
https://www.jonoalderson.com/conjecture/javascript-broke-the-web-and-called-it-progress/
Whenever there is a sticking point, ask, "are we staying true to the vision?".
— 37Signals
Efforts to reduce animal experiments are important and should be pursued. But despite progress in #AI, #organoids, and #InSilico models, I’m not convinced we’re there yet — especially in #neuroscience, where #complexity and systemic #context matter. However, I do think we should stay committed and aim for reduction by all available means. I recently came across this article, which gives a good overview of the current state of the field:
Well-designed components are easy to replace. Eventually, they will be replaced by ones that are not so easy to replace.
— Sustrik's Law
New paper!
How can we detect the presence of communities in networks with higher-order interactions? For instance, by maximizing hypermodularity! Also, this formulation will allow you to leverage tensor spectral methods to do it. Additionally, the paper also argues that the "overfitting" of modularity methods is actually just people applying them where they are not supposed to be used. And, as a byproduct, there is an explanation of why higher-order SVD works so well in classification tasks in machine learning. Oh, the code is available to use in your own projects (link in the first comment). And moreover, the code includes an efficient data structure for higher-order networks that is independent from the community detection method and that you can also use in your own work. 
https://journals.aps.org/prresearch/abstract/10.1103/58dr-wktc
"Thank you for calling Web Dev. How may we complicate things for you?"
The ever-increasing complexity of web development and the ever-increasing list of dependencies we end up including.
https://newslttrs.com/thank-you-for-calling-web-dev-how-may-we-complicate-things-for-you/
An evolving system increases its complexity unless work is done to reduce it.
— Meir Lehman
New paper!
If you want to assess the stability of the synchronization of a system of identical oscillators, you can use the Master Stability Function. However, what do you do in a real-world case, when the elements of the system are not exactly identical? We show how to extend the formalism and use it also when there are many-body interactions, such as in a simplicial complex.
https://journals.aps.org/prresearch/abstract/10.1103/ml7b-r35h
