logtempo

Each 5 days, a satellite from sentinel mission take a picture of your location. It's 8 days for landsat mission. Those are publicly available data (I encourage everyone to use it for environment studies, I think any software people that care about the future should use it).

It's obviously not the same precision as the google map, and it needs update, but it's enough to take in account seasonal change and even brutal events (floods, war, fire, you name it).

It's a product for marketing campaign I believe. Attach a technology to a product tech-people like and you touch many people.

If Lenovo made a smart mirror out of this technology (which in my opinion seems to be the most usefull), or a small SF like control panel for meeting room at companies, people would react less.

I find it better than windows rn. Linux mint especially.

I mean there is even a playstore-like "app" to install softwares

you have a valid point. I always had Macintosh machine and then Linux, discovered at the university.

I think I fall in the case of tech literate people who know how to do things in Linux but don't care to relearn it all in Windows.

So I guess it's true for the opposite too ahah

looks like the title is different than the one showing up in hn

I heavily disagree.

It does have good arguments, but I think the reasoning take in account only a part of the problem, which lead to a wrong conclusion.

From my understanding, the statement is: Overpopulation is not a problem, it's the solution, because statistically we have more smart young people that improve and optimize resources available through discovery, reducing its impact on the environment (climate included).

It throw some arguments and datas:

- If we’d gone on as 1950[s] organic farmers, we’d have needed 82 percent of the world’s land area for cultivation, as opposed to the 38 percent that we farm at the moment.”

- resources are becoming more abundant and cheaper as the world population grows

- Especially since the Industrial Revolution, humans have been drastically shrinking their cropland use per capita, and there is no reason to believe this progress can’t continue.

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On this later arguments, it falacious as cropland increased A LOT since industrial revolution.https://ourworldindata.org/grapher/land-use-over-the-long-te...

Also, from the same source, it seems that optimization of land is not moving a lot since a decade or two.

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But then, to make all of this viable, because the author know about climate change, he make a very brave, optimistic at best irrealistic at worse, asumption:

- With clean energy technologies, we can completely decouple material well-being from CO2 emissions, for the first time in history.

This single assumption make its whole arguments vanish. It's the only argument that is not scientific, yet so important in its theory.

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And never ever he is talking about the environmental debt that allowed this productivity progress, that don't show up in the graphics he use. It only talks about short terms, not long term. Only about science, not about economy. Economy that is really linked to productivity and consumption, and debt. It avoid to talk about tipping point where things fall apart. It avoid the role of oil and gas in the productivity.

Author should read the story of the [hen that laid the golden eggs](https://en.wikipedia.org/wiki/The_Hen_That_Laid_the_Golden_E...): the production methods are killing the chicken, soon we'll not have golden eggs anymore.

A good trick is to think about what you are doing instead of the (negative) outcome.

If you run, thinking about your movements and where you're at in the sprint is good, thinking about what if you stumble, what if a fan throw a bottle at you, what if the guy behind me speed up, what if I lose and did everything for nothing...in this case, you've stopped to think about running, you're not focused, and so you're not doing a good run.

I have little web culture, but I always love internet stories like that. It really is a contrast to social medias. Maybe it's because on such blogs and fragment of life, it's the human that "do the internet", instead of the internet doing the human( if that makes sense?).

> The whole environmental movement made a mistake framing things as a moralistic struggle to “save the Earth, pandas and pinguins.” Like George Carlin famously said on this subject: “the Earth will be fine. We’re fucked.

I think the whole environmental movement have/had no power against the whole industry movement, and the "save the earth" call was the only accepted by the dominant class (aka industry and its leaders). Also Mr. Nobody don't wanted to give up his car, his investments, and his overall lifestyle for some pessimist hippies that love trees or scientist that don't know the real world.

Things are changing because of a single reason: industry and economy is affected a little bit by the climate change.

Maybe we can send kids under electron beam.

Maybe a few subsection titles with "Introduction"/"use case"/"let's dive in the math" will help to guide the simple guy to read the simple part, and the expert guy to reach directly the complex part of your message.

It's totally possible to target both the amateur and expert audience in a single article, but it need an appropriate structure to achieve this :)

For exemple:

(1) Abstract: set the direction of your article. What we want, what we use (Pearson), what I like to use (Hoeffding's D), eventually some outcome

(2) Introduction: your first three paragraph can go in there, with two subsection (exemple, and state of the art with Pearson use).

(3) Pearson details

(4) Hoeffding(s D details

(5) implementation of Hoeffding's D

(6) Conclusion/comparaison

Personally, without a clear introduction stating where we start, where we go, and what is the journey programm, I tend to not read (which is not good for me and for you :) )

As far as I understand, you are saying that blood vessels are the cause of long COVID, but vascular disruption predispose to long term COVID. So it's more a feature of COVID(or other disease I guess?) than a feature of long term COVID specifically.

> Vascular disruption has been implicated in coronavirus disease 2019 (COVID-19) pathogenesis and may predispose to the neurological sequelae associated with long COVID, yet it is unclear how blood–brain barrier (BBB) function is affected in these conditions.

Competition is nothing but economic war.

It's a measurement of cognitive performance, nothing more. It does not tell if you can do a good job or not.

I think it's a good tool when looking a two groups or looking at performances over time.

But it could be biased, for example when he say PhD IQ fall when enrollment is higher, measuring the quality of the work would've been better.

Also IQ don't give you any hint of causation. Maybe IQ drop because of school quality? Screen time? Physical activity drop? Some widespread chemical? Lack of oportunity given the world environmental crisis?

There are many factors that could play a role.

And yet, it made a simple mistake in some python code :'( > particles = np.zeros((2, 3)) # position, velocity, and acceleration particles[:, 0] = [0.0, 0.0, 0.0] # initial position

Even more if in your childhood memory it is engraved as something fun. As a child, and I believe others too, getting and returning the cart with the little coin your parent gives to you was cool.

It's a false believe. Throw a baby in water and he won't survive.

unfortunatly, there is pandoc for that. But you still can dive into it.

At your age, I think best is (1) doing what you enjoy, and (2) applying what you've learned. Because in 6 month, you'll forgot what you don't use.

except using adblock, there is not much solution I believe. Except one that maybe you won't accept (not using those greedy website on a phone).

I agree. And it's common to any engineering topics: DO a prototype that achieve the thing it is designed for, and IF you're going to deploy it in mass, optimize it. ELSE you don't need to.

How do you program your atmega? with a laptop. Also you won't go anywhere with few resistors and capacitors, you also need transistors, diodes, maybe LED, maybe some soldering, wires, breadboard, some sensors to have fun with, some ICs such as 555 timer and other op-amp. Eventually some voltage converters, a multimeter and logic gates.

The list can be long and at the end, for software you need a laptop, for electronic you need a laptop + many things. And those things can cost (the shipping cost more, actually).

Can't be solved by writting output in a file and reading that file in parrallel?

I'm a noob, it's honnest question.

To memorize something, it include two step: intake of information, and mobilization of this information.

So anki help to write into memory, expose to new things eventually, and associate two ideas. But the more there is association to ideas, to different contexts, the better.

I think kids benefit from Anki, it's not as different as a puzzle game, but side activities are as important as anki.

I think teaching kid all countries of the world might not be necessary, it might vanish if not used. But it's definitly not harmfull.

Price rise when your market is small when doing electronic devices. Nobody will do better than available dumb phones in term of prices.

> Why do we write numbers backwards? I don't know why we do it that way.

https://en.m.wikipedia.org/wiki/Endianness

> Sometimes deeper understanding provides deeper insights to the problems at hand. But often, they don't, even when the deeper understanding is beautiful. If the hammer works when you hold it a certain way, that's great, but understanding all possible ways to hold a hammer doesn't always help get the nail in better.

Is it true? I mean, in mathematics having a proof of something is way stronger than having a conjecture. And in engineering, proving that your solution is optimal is way stronger than saying "hey look, I tried many things and finally it works!".

Worse, in statistics if you throw a bunch of tests and pick the one that "works" you might have false conclusions all the time. And AI is statistics.

Sure it works to test out 10 datatset and whatever number of different machine learning, but it takes time and money and might be suboptimal from an engineering POV.

Keep complexity monster away, and don't fear the fear of missing out. Does VimWiki suit your needs? If yes, work on real problems.

It made a big step forward, imagery is more powerfull now and some people are starting to grow organoids made of neurons. There is a lot to learn, but as soon as we can get good data, AI will step in and digest it I guess.

When you look at the "monster" that is ROOT-CERN, which is a C/C++ interpreter* with very efficient statistics and plot tools (it can digest tons of data), it is completely logic that Python is a good language for daily lab tasks and analysis. But I'm not sure if it is really used beyond this daily lab task or intern project where performance is not critical. Big simulations I participated were made in C/C++.

Nowaday, it seems that at least physics particle community looks enthusiastic regarding Julia development.

*: it mimics most of core python features such as no strict typing, data structures that can store different types, on-the-fly coding, graphic interface for representation, no compilation needed.

Depend of the country, but public places can be filmed without consent, except if it record a specific person.