I am really happy that the younger generation is re-evaluating views on work.

From the article:

Yuki Watanabe used to spend 12 hours every day toiling away in the office. And that’s considered a short day.

Asking to leave work on time or taking some time off can be tricky enough. Even trickier is tendering a resignation, which can be seen as the ultimate form of disrespect in the world’s fourth-biggest economy, where workers traditionally stick with one employer for decades, if not for a lifetime.

In the most extreme cases, grumpy bosses rip up resignation letters and harass employees to force them to stay.

...She turned to Momuri, a resignation agency that helps timid employees leave their intimidating bosses.

For the price of a fancy dinner, many Japanese workers hire these proxy firms to help them resign stress-free.

At a cost of 22,000 yen (about $150) – or 12,000 yen for those who work part time – it pledges to help employees tender their resignations, negotiate with their companies and provide recommendations for lawyers if legal disputes arise.

“Some people come to us after having their resignation letter ripped three times and employers not letting them quit even when they kneel down to the ground to bow,” she said, in another illustration of the deferential workplace culture embedded in Japan.

Japan has long had an overwork culture. Employees across various sectors report punishing hours, high pressure from supervisors and deference to the company. These employers are widely known as “black firms.”

Human resources professor Hiroshi Ono, from Hitotsubashi University Business School in Tokyo, said the situation had become so pressing that the government had begun publishing a list of unethical employers to hamper their ability to hire, and warn job seekers of the dangers of working for them.

So why did these resignation agents only emerge in recent years? That, experts say, is down to young people’s changing approach to work.

Many of them no longer subscribe to older generations’ thinking that one should do whatever they are told regardless of the job’s nature, Ono said, adding that when there is a mismatch of expectation, they won’t hesitate to quit.

“We honestly think that our resignation agency service should disappear from society and we hope for that. We think it’s best if people can tell their bosses themselves, but hearing the horror stories of our clients, I don’t think that our business will disappear anytime soon,” she said.

For now, Momuri offers a 50% discount for those who seek their service to resign the second time.

Fascinating, I like this kind of Magick.

Highlights

Broadly speaking, the role of an establishment economist is to come up with new ways of saying, "actually, your boss is right."

Now, Lowe's has 285,000 employees, half of whom earn less than $33,000/year. Divide Ellison's $18m among those workers and each of them would net a paltry $126/year. But if you were to share out the $43 billion Ellison had to piss up against a wall on stock buybacks among those workers, you'd be able to give every worker a $30,000 bonus, every year:

The largest 20 companies in the Low-Wage 100 spent nine times more on stock buybacks than they spent on worker retirement plan contributions. Chipotle spent $2b on buybacks – that's 48 times what the company put into its workers' 401(k)s. That's because 92% of Chipotle employees can't afford to have a 401(k).

In incentivizing CEOs to keep share prices high above every other consideration, establishment economists set the stage for a corporate America where CEOs were punished for investing in a living wage, a dignified retirement, or even a non-lethal product. Instead, we have a business environment that boils down to a competition to see who can eat their seed-corn the fastest.

This is interesting and potentially useful for anyone, who works in the corp which does not allow Linux laptops, but you can get your hands on Macs.

The major story of the past couple of weeks has been Ukraine’s Kursk offensive and the seizing of over 1100 square kilometres of Russian territory in the past ten days. This has been a stunning change in the direction of the war. At least five Ukrainian brigades, or elements of those brigades, and possibly more have seized the initiative and remained on the move since surprising the Russians in their initial crossing of the border into the Russian Kursk oblast.

Highlights

So the point of the American UI system is not to make it easier to quit a job. But a few economists are now beginning to ask: Should it be?

A safety net program that would encourage more Americans to quit their jobs has generally been seen as a bad thing.

Boosting UI generosity doesn’t affect overall employment rates one way or the other. Instead of loafing around in subsidized unemployment, more generous benefits can support people to quit their jobs in search of better ones, which benefits workers through higher wages and better job satisfaction, and the economy through enhanced productivity as people find better uses for their skills.

The real losers would be lousy jobs, which would struggle to retain workers with a greater cushion to quit and go looking elsewhere.

A major barrier facing lasting reform has been that most people do not care about improving the unemployment system long enough to build the kind of political momentum that gets laws through Congress.

Without financial support, quitting in search of better work just isn’t always a viable option, especially for the more than one in 10 US households that have zero wealth to fall back on.

The unemployment insurance system was established during the Great Depression as part of the Social Security Act in 1935, when the unemployment rate was about 20 percent; helping those workers who still had jobs quit wasn’t exactly a policy priority. About half of American workers were excluded from coverage, including agricultural and domestic workers (many of whom were Black).

The surge of quits during the pandemic and the expansion of unemployment insurance created a unique dataset that caught the attention of economists Zhifeng Cai and Jonathan Heathcote.

After an extra $600 was added to weekly UI checks, along with a major expansion to who is eligible for the benefits, studies found no connection between the boosted UI and laziness or joblessness (echoing findings around unconditional cash transfers more broadly, where giving people cash doesn’t undermine their desire to work).

Economists have historically held equality and efficiency at odds with each other, with higher UI benefits seen as an equality booster that trades off against economic efficiency. But Cai explained in an interview with Vox that “if you give nothing to people who quit, it’s actually not an efficient choice, because there are too few people quitting. Our point is that even from an efficiency perspective, you still want to have some UI going to quitters.”

Highlights

European beech trees more than 1,500 kilometers apart all drop their fruit at the same time in a grand synchronization event now linked to the summer solstice.

From England to Sweden to Italy — across multiple seas, time zones and climates — somehow these trees “know” when to reproduce. But how?

Their analysis of over 60 years’ worth of seeding data suggests that European beech trees time their masting to the summer solstice and peak daylight.

The discovery of the genetic mechanism that governs this solstice-monitoring behavior could bring researchers closer to understanding many other mysteries of tree physiology.

So it’s easy to see why masting trees synchronize their seed production. Understanding how they do it, however, is more complicated. Plants usually synchronize their reproduction by timing it to the same weather signals.

Then the team stumbled across a clue by accident. One summer evening, Bogdziewicz was sitting on his balcony reading a study which found that the timing of leaf senescence — the natural aging process leaves go through each autumn — depends on when the local weather warms relative to the summer solstice. Inspired by this finding, he sent the paper to his research group and called a brainstorming session.

It’s the first time that researchers have identified day length as a cue for masting. While Koenig cautioned that the result is only correlational, he added that “there’s very little out there speculating on how the trees are doing what they’re doing.”

If the solstice is shown to activate a genetic mechanism, it would be a major breakthrough for the field. Currently, there’s little data to explain how trees behave as they do. No one even knows whether trees naturally grow old and die, Vacchiano said. Ecologists struggle just to study trees: From branches to root systems, the parts of a tree say very little about the physiology of the tree as a whole. What experts do know is that discovering how trees sense their environment will help them answer the questions that have been stumping them for decades.

Alice Evans is diving into a new Econ paper.

Ingrid Haegele finds that junior men are more likely to apply for promotions, primarily due to a greater desire for team leadership.

OG

How We Built the Internet

Metadata

• Author: Anna-Sofia Lesiv
• Category: article
• URL: https://every.to/p/how-we-built-the-internet

Highlights

The internet is a universe of its own.

The infrastructure that makes this scale possible is similarly astounding—a massive, global web of physical hardware, consisting of more than 5 billion kilometers of fiber-optic cable, more than 574 active and planned submarine cables that span a over 1 million kilometers in length, and a constellation of more than 5,400 satellites offering connectivity from low earth orbit (LEO).

“The Internet is no longer tracking the population of humans and the level of human use. The growth of the Internet is no longer bounded by human population growth, nor the number of hours in the day when humans are awake,” writes Geoff Huston, chief scientist at the nonprofit Asia Pacific Network Information Center.

As Shannon studied the structures of messages and language systems, he realized that there was a mathematical structure that underlied information. This meant that information could, in fact, be quantified.

Shannon noted that all information traveling from a sender to a recipient must pass through a channel, whether that channel be a wire or the atmosphere.

Shannon’s transformative insight was that every channel has a threshold—a maximum amount of information that can be delivered reliably to a sender.

Kleinrock approached AT&T and asked if the company would be interested in implementing such a system. AT&T rejected his proposal—most demand was still in analog communications. Instead, they told him to use the regular phone lines to send his digital communications—but that made no economic sense.

What was exceedingly clever about this suite of protocols was its generality. TCP and IP did not care which carrier technology transmitted its packets, whether it be copper wire, fiber-optic cable, or radio. And they imposed no constraints on what the bits could be formatted into—video text, simple messages, or even web pages formatted in a browser.

David Clark, one of the architects of the original internet, wrote in 1978 that “we should … prepare for the day when there are more than 256 networks in the Internet.”

Fiber was initially laid down by telecom companies offering high-quality cable television service to homes. The same lines would be used to provide internet access to these households. However, these service speeds were so fast that a whole new category of behavior became possible online. Information moved fast enough to make applications like video calling or video streaming a reality.

And while it may have been the government and small research groups that kickstarted the birth of the internet, its evolution henceforth was dictated by market forces, including service providers that offered cheaper-than-ever communication channels and users that primarily wanted to use those channels for entertainment.

In 2022, video streaming comprised nearly 58 percent of all Internet traffic. Netflix and YouTube alone accounted for 15 and 11 percent, respectively.

At the time, Facebook users in Asia or Africa had a completely different experience to their counterparts in the U.S. Their connection to a Facebook server had to travel halfway around the world, while users in the U.S. or Canada could enjoy nearly instantaneous service. To combat this, larger companies like Google, Facebook, Netflix, and others began storing their content physically closer to users through CDNs, or “content delivery networks.”

Instead of simply owning the CDNs that host your data, why not own the literal fiber cable that connects servers from the United States to the rest of the world?

Most of the world’s submarine cable capacity is now either partially or entirely owned by a FAANG company—meaning Facebook (Meta), Amazon, Apple, Netflix, or Google (Alphabet).

Google, which owns a number of sub-sea cables across the Atlantic and Pacific, can deliver hundreds of terabits per second through its infrastructure.

In other words, these applications have become so popular that they have had to leave traditional internet infrastructure and operate their services within their own private networks. These networks not only handle the physical layer, but also create new transfer protocols —totally disconnected from IP or TCP. Data is transferred on their own private protocols, essentially creating digital fiefdoms.

SpaceX’s Starlink is already unlocking a completely new way of providing service to millions. Its data packets, which travel to users via radio waves from low earth orbit, may soon be one of the fastest and most economical ways of delivering internet access to a majority of users on Earth. After all, the distance from LEO to the surface of the Earth is just a fraction of the length of subsea cables across the Atlantic and Pacific oceans.

What is next?

Incantations

Metadata

• Author: Jos Visser
• Category: rss
• URL: https://josvisser.substack.com/p/incantations

Highlights

The problem with incantations is that you don’t understand in what exact circumstances they work. Change the circumstances, and your incantations might work, might not work anymore, might do something else, or maybe worse, might do lots of damage. It is not safe to rely on incantations, you need to move to understanding.

We can best view the method of science as the use of our sophisticated methodological toolbox

Metadata

• Author: OUP Academic
• Category: article
• URL: https://academic.oup.com/pnasnexus/article/3/4/pgae112/7626940?login=false

Highlights

Scientific, medical, and technological knowledge has transformed our world, but we still poorly understand the nature of scientific methodology.

scientific methodology has not been systematically analyzed using large-scale data and scientific methods themselves as it is viewed as not easily amenable to scientific study.

This study reveals that 25% of all discoveries since 1900 did not apply the common scientific method (all three features)—with 6% of discoveries using no observation, 23% using no experimentation, and 17% not testing a hypothesis.

Empirical evidence thus challenges the common view of the scientific method.

This provides a new perspective to the scientific method—embedded in our sophisticated methods and instruments—and suggests that we need to reform and extend the way we view the scientific method and discovery process.

In fact, hundreds of major scientific discoveries did not use “the scientific method”, as defined in science dictionaries as the combined process of “the collection of data through observation and experiment, and the formulation and testing of hypotheses” (1). In other words, it is “The process of observing, asking questions, and seeking answers through tests and experiments” (2, cf. 3).

In general, this universal method is commonly viewed as a unifying method of science and can be traced back at least to Francis Bacon's theory of scientific methodology in 1620 which popularized the concept

Science thus does not always fit the textbook definition.

Comparison across fields provides evidence that the common scientific method was not applied in making about half of all Nobel Prize discoveries in astronomy, economics and social sciences, and a quarter of such discoveries in physics, as highlighted in Fig. 2b. Some discoveries are thus non-experimental and more theoretical in nature, while others are made in an exploratory way, without explicitly formulating and testing a preestablished hypothesis.

We find that one general feature of scientific methodology is applied in making science's major discoveries: the use of sophisticated methods or instruments. These are defined here as scientific methods and instruments that extend our cognitive and sensory abilities—such as statistical methods, lasers, and chromatography methods. They are external resources (material artifacts) that can be shared and used by others—whereas observing, hypothesizing, and experimenting are, in contrast, largely internal (cognitive) abilities that are not material (Fig. 2).

Just as science has evolved, so should the classic scientific method—which is construed in such general terms that it would be better described as a basic method of reasoning used for human activities (non-scientific and scientific).

An experimental research design was not carried out when Einstein developed the law of the photoelectric effect in 1905 or when Franklin, Crick, and Watson discovered the double helix structure of DNA in 1953 using observational images developed by Franklin.

Direct observation was not made when for example Penrose developed the mathematical proof for black holes in 1965 or when Prigogine developed the theory of dissipative structures in thermodynamics in 1969. A hypothesis was not directly tested when Jerne developed the natural-selection theory of antibody formation in 1955 or when Peebles developed the theoretical framework of physical cosmology in 1965.

Sophisticated methods make research more accurate and reliable and enable us to evaluate the quality of research.

Applying observation and a complex method or instrument, together, is decisive in producing nearly all major discoveries at 94%, illustrating the central importance of empirical sciences in driving discovery and science.