Author: MIL-OSI Publisher

Source: The Conversation – USA – By Henry F. Fradella, Professor of Criminology and Criminal Justice, Arizona State University

President Donald Trump recently signed two executive orders targeting “cashless bail,” the policies that permit the release of people arrested for crimes pending trial without requiring them to pay money.

One executive order directs arrestees in Washington, D.C. to be “held in Federal custody to the fullest extent permissible under applicable law.” The other order calls for the withholding of federal funds to states that “substantially eliminated cash bail as a potential condition of pretrial release from custody” for many offenses.

Cashless bail does not mean that everyone is simply released unconditionally to await trial. Instead, judges have the ability to detain people who pose a specific threat to another person or the community. And they can impose conditions on those who are released, including stringent measures like electronic monitoring.

Trump has criticized cashless bail policies for threatening public safety because they can release dangerous people from detention.

As legal and criminal justice scholars, we have studied bail reforms across the United States.

We have found that jurisdictions that reduce reliance on cash bail can maintain public safety. And they can also curtail mass pretrial incarceration that overwhelmingly locks up people who are too poor to afford bail. That includes three jurisdictions that we examine in detail below: Washington, D.C., New Jersey and Illinois.

The rise of bail bonds

Bail is a promise by an accused person to show up at court hearings in exchange for being released from custody pending the resolution of criminal charges.

In many U.S. jurisdictions, however, people pledge money or property as collateral for their pretrial release. But some people are released unconditionally, referred to as release on their own recognizance. Others are denied pretrial release altogether because they pose a risk of flight, a risk of failing to appear, or pose a danger to the community.

Historically, the bail system worked on promises and one’s reputation, not money. Money bail became more common around the turn of the 20th century with the rise of commercial bail bonds, in which a bail bond business would front the bail money, charging the arrestee a portion of the bail amount as a fee.

This created a system in which people with money could buy their pretrial freedom for many crimes – even serious felonies. Conversely, between 60% and 90% of people remained jailed despite the availability of bail bonds. This was not because they were dangerous, but because they lacked the financial resources to come up with the 10% of their bail amount to purchase their pretrial freedom.

The problems with cash bail

On any given day, approximately 664,000 people are locked up in jails in the United States. Only about 30% of these people are serving sentences following criminal convictions. The remaining 70% in jail are awaiting trial.

Typically, this is not because a court has judged them a risk to public safety. And usually it’s not because a judge decided they are unlikely to appear at scheduled court hearings.

Instead, they remain in jail because they cannot pay the money bail that has been set in their cases. This can have serious or even tragic consequences, such as lost homes and jobs, and even suicides. Indeed, suicide is the leading cause of death in jails, and pretrial detainees are six times more likely to die by suicide than those serving jail time after convictions.

A 2012 study in New York City found that “even when bail is set comparatively low – at $500 or less, as it is in one-third of nonfelony cases – only 15% of defendants are able to come up with the money to avoid jail.” In 2017, the jailing of people who could not afford bail cost taxpayers US$38 million each day – an amount that exceeds $50 million today, adjusted for inflation.

And it has allowed commercial bail businesses – and the nine insurance companies that back the roughly 30 corporations that underwrite more than $14 billion in bail bonds issued each year – to earn profits in excess of $2.4 billion annually.

Conversely, money bail systems allow people with financial means, even those who might be dangerous or pose a genuine risk of flight, to be released because they can afford to post bail.

Bail reform in Washington

Washington abolished cash bail in the early 1990s. The city replaced it with a system that overwhelmingly pairs pretrial release with levels of supervision tied to the risk that a court determines a defendant might pose. As a result, roughly 87% of all people arrested in Washington are released pending trial without needing to pay or pledge any money.

Despite the lack of money bail, the city has experienced high court appearance rates and low reoffending rates. Between 2019 and 2024, 89% of defendants awaiting trial in the city showed up to their scheduled court appearances – and 90% remained arrest-free. Even among those accused of violent offenses, 98% were not rearrested for violent crimes while on pretrial release.

Washington shows that when people are given the tools and reminders they need, they are overwhelmingly likely to comply with court obligations. That includes phone calls, text messages and email reminders about court dates or access to pretrial services. Moreover, these results illustrate that alternatives to cash bail can function effectively, without compromising public safety.

The Illinois and New Jersey experiences

New Jersey overhauled its bail system
in 2017 by virtually eliminating cash bail. The state replaced it with a framework that relies on judicial assessments and pretrial monitoring to decide whether defendants should be detained or released.

Within two years of New Jersey’s bail reforms, the state’s pretrial jail population decreased by roughly 44%. Most notably, the state did this by reducing the number of defendants held in jail for more than a day or two.

This reduction was not accompanied by an increase in failures to appear in court or in new criminal charges.

A recent Drexel University–Boston University study echoed those findings, confirming that the decline in incarceration came without increases in gun violence. The study also found that the number of people held on low bail amounts – $2,500 or less – fell sharply, from more than 12% of the jail population in 2012 to just 0.4% by 2021.

Early data analyses after Illinois eliminated cash bail in September 2023 show that jail populations declined with no uptick in failure-to-appear rates.

Further, violent crime and property crime rates in Cook County have decreased since the law took effect, including a 15% reduction in Chicago.

Broader considerations

In 2024, the Brennan Center for Justice, a public policy institute, analyzed data from 33 cities, comparing 22 that had enacted bail reforms with 11 that had not. The researchers found that there was no relationship between bail reform and crime rates. When combined with the data from Washington, New Jersey and Illinois, it seems clear that jurisdictions can protect public safety while also reducing unnecessary and harmful pretrial detention.

In New Jersey, for example, thousands of people – many from communities of color – were able to remain employed and housed while awaiting trial. Rather than destabilizing people’s lives by unnecessary incarceration, the state contributed to greater stability for them, their families and communities.

The question moving forward is how to build on these successes.

As policymakers consider next steps, these empirically supported results can provide guidance. They provide evidence that cashless bail is not a threat but an opportunity for fairer, smarter justice.

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

– ref. Bail reforms across the US have shown that releasing people pretrial doesn’t harm public safety – https://theconversation.com/bail-reforms-across-the-us-have-shown-that-releasing-people-pretrial-doesnt-harm-public-safety-264448

Source: The Conversation – USA – By Karrin Vasby Anderson, Professor of Communication Studies, Colorado State University

In an authoritarian state, the leader engages in unconstitutional or undemocratic practices for the purpose of consolidating power.

Key components of authoritarianism include rejecting democratic rules; denying the legitimacy of opponents; tolerating or encouraging political violence; and curtailing the civil liberties of opponents.

Since he took office for a second time, President Donald Trump has sent National Guard troops to Los Angeles and Washington, named other cities run by Democrats as targets for military intervention, deployed masked and unidentifiable agents in immigration raids, explicitly threatened the city of Chicago with a military invasion and used government power to persecute his perceived political enemies.

But many journalistic outlets have yet to call him what he is – an authoritarian.

As a political communication scholar, I study how media framing shapes people’s understanding of the world.

Because authoritarianism is most visible in hindsight, people often don’t recognize it until it’s too late. Erica Chenoweth, a Harvard political scientist, notes that when it comes to democratic backsliding, “there are no bright lines … people often find out the world they’re in after the fact.”

That’s why it’s particularly important for journalists to label authoritarians as such when the evidence warrants. In Trump’s case, I believe the U.S. is well past that point.

Trump’s authoritarianism

Scholars with expertise in authoritarianism have been sounding the alarm about Trump for years.

Steven Levitsky and Daniel Ziblatt’s book “How Democracies Die” describes how, during the 2016 campaign and his first presidential term, Trump exhibited the key indicators of authoritarian behavior. He undermined the legitimacy of elections Republicans lost, baselessly described his rivals as criminals, refused to unambiguously condemn violence committed by his supporters, and threatened to punish critics and members of the media.

Levitsky and Ziblatt argue that “no other major presidential candidate in modern U.S. history, including Richard Nixon, has demonstrated such a weak public commitment to constitutional rights and democratic norms.”

That intensified when Trump returned to office in 2025.

Levitsky and Lucan A. Way documented Trump’s “path to American authoritarianism” for the journal Foreign Affairs in early 2025. In March, Levitsky told New York magazine that things were going worse than even he expected, asserting, “We’re pretty screwed.”

Levitsky is not alone in that view. In a February 2025 survey of political scientists conducted by Bright Line Watch – an academic organization that researches democratic health – the percentage of scholars plummeted who said that the U.S. “mostly or fully” meets the standard for democratic health.

That was before Trump, via social media, promised to go to war in Chicago. When asked about his post, Trump said, “We’re not going to war. We’re going to clean up our cities,” but he did not back away from the intent to deploy troops against the wishes of Illinois Governor JB Pritzker.

Pritzker responded to Trump’s post by noting, “This is not a joke. This is not normal.”

On Sept. 7, 2025, New York Times opinion columnist Ezra Klein itemized some of Trump’s authoritarian actions, concluding, “This is not just how authoritarianism happens. This is authoritarianism happening.”

What journalists have been saying

Although other opinion journalists like Jamelle Bouie, M. Gessen, Jonathan Chait and nearly every MSNBC anchor have been labeling Trump an authoritarian for some time, much hard news coverage of the Trump administration has not.

When Trump deployed troops to Washington, The Atlantic’s Quinta Jurecic dismissed it as “farcical” and “not a likely prelude to full authoritarian takeover.”

A CNN analysis similarly minimized the action as a “gambit,” a “distraction” and a “neat political trick.” CNN characterized concerns about authoritarianism as “hyperbolic warnings of looming tyranny that circulate all day on liberal media programs — whatever Trump does” and asserted that such reports “don’t really help voters understand what is going on.”

The New York Times’ Aug. 3 story by Peter Baker on Trump’s “tendency to suppress facts he doesn’t like and promote his own version of reality” bore a headline that read “Trump’s Efforts to Control Information Echo an Authoritarian Playbook,” suggesting that his actions were authoritarian without applying the label to Trump directly.

During the April 14, 2025, broadcast of CNN News Central, anchor Jessica Dean spoke with Nikolas Bowie, a Harvard Law School professor participating in a lawsuit against the Trump administration.

Bowie repeatedly called Trump an authoritarian for illegally freezing federal research funding awarded to Harvard.

When Dean noted that the “Trump administration says it’s doing all of this in an effort to combat antisemitism on campus,” Bowie responded that “antisemitism is really just a pretext for what is really an authoritarian attack on higher education.” Federal Judge Allison Burroughs later agreed with that interpretation in her ruling against the Trump administration.

Dean, however, sidestepped that interpretation, saying, “What I’m hearing is you think that enough was done to combat antisemitism, that this is about something else.”

Competitive authoritarianism

There are reasons why journalistic outlets may hesitate to identify the “something else” as authoritarianism, or portray it as a looming threat rather than a current danger.

Trump’s propensity to sue journalists, and large media corporations’ decisions to settle even when the law was on their side, have likely made journalists and editors hesitant to describe Trump as an authoritarian.

And the imperative for balance sometimes results in a “both sides-ism” that misrepresents what authoritarianism actually looks like.

When California Gov. Gavin Newsom gave a speech asserting Trump’s military response to immigration protests in California was an assault on democracy, the New York Times covered it, quoting Newsom at length about the danger Trump presented. The article also quoted Republicans who alleged that Newsom’s public health directives during the COVID-19 pandemic made him “the ultimate authoritarian.”

But the particular nature of the authoritarianism the U.S is facing in the 21st century also plays a role.

Levitsky and Way have written about “competitive authoritarianism,” a new version of authoritarianism that doesn’t look like 20th-century fascism.

Many laypeople associate the word authoritarianism with military dictatorships and totalitarian rule. In competitive authoritarian regimes, however, there’s a constant push and pull between democratic and autocratic impulses. Levitsky and Way write that elections are held, but they may not be fair. The authoritarian regime uses power gained democratically to break democratic norms, undermine democratic institutions and tilt the playing field in its own favor.

Constraining free speech

Journalistic norms of independence can pressure even ethical journalists into acquiescence to competitive authoritarianism because they want to avoid looking partisan when all coverage that falls outside the authoritarian’s approved message gets characterized as resistance.

Paramount settled what one free speech advocate described as a “widely derided lawsuit brought by Donald Trump against ’60 Minutes,’” and CBS recently pledged to stop editing recorded interviews on “Face the Nation” after complaints lodged by Homeland Security Secretary Kristi Noem.

The Paramount and CBS cases suggest that, left unchallenged, a competitive authoritarian leader will use their leverage to influence what should be independent journalism.

Words matter. And how a democratic society responds to its leaders can make the difference between a free society and one in which a leader increasingly suppresses the voices, rights and will of the governed.

Karrin Vasby Anderson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. Why journalists are reluctant to call Trump an authoritarian – and why that matters for democracy – https://theconversation.com/why-journalists-are-reluctant-to-call-trump-an-authoritarian-and-why-that-matters-for-democracy-263778

Source: The Conversation – USA (2) – By Aki Ishida, Professor and Director, College of Architecture and Graduate School of Architecture and Urban Design, Washington University in St. Louis

The word “local” has become synonymous with sustainability, whether it’s food, clothes or the materials used to construct buildings. But while consumers can probably go to a local lumberyard to buy lumber from sustainably grown trees cut at nearby sawmills, no one asks for local glass.

If they did, it would be hard to give an answer.

The raw materials that go into glass – silica sand, soda ash and limestone – are natural, but the sources of those materials are rarely known to the buyer.

The process by which sand becomes sheets of glass is often far from transparent. The sand, which makes up over 70% of glass, could come from a faraway riverbed, lakeshore or inland limestone outcrop. Sand with at least 95% silica content is called silica sand, and only the purest is suitable for architectural glass production. Such sand is found in limited areas.

If the glass is colorless, its potential sources are even more limited, because colorless low-iron glass – popularized by Apple’s flagship stores and luxury towers around the world – requires 99% pure silica sand.

Glass production in Venice

The mysteries of glass production have historic precedent that can be traced back to trade secrets of the Venetian Empire.

Venice, particularly the island of Murano, became the center for glass production largely due to its strategic location for importing raw materials and production know-how and exporting coveted glass objects.

From the 11th to the 16th centuries, the secrets of glassmaking were protected by the Venetians until three glassmakers were smuggled out by King Louis XIV of France, who applied the technology to create the Palace of Versailles’ Hall of Mirrors.

Venice was an otherwise unlikely location for glassmaking.

Neither the primary materials of sand and soda ash (sodium carbonate) nor the firewood for the medieval Venetian glassmakers were found in the city’s immediate vicinity. They were transported from the riverbeds of the Ticino River in Switzerland and the Agide River, which flows from the Austria-Switzerland border to the Adriatic Sea south of Venice. Soda ash, which is needed to lower the melting point of silica sand, was brought from Syria and Egypt.

So Venetian glass production was not local; it was dependent on precious resources imported from afar on ships.

Rising demand for low-iron, seamless glass

In the past few decades, low-iron glass, known for its colorlessness, has become the contemporary symbol of high-end architecture. The glass appears to disappear.

Low-iron glass is made from ultrapure sand that is low in iron oxide. Iron causes the green tint seen in ordinary glass. In architecture, low-iron glass doesn’t affect the performance – only the appearance. But it is prized.

In the U.S., this type of sand is found in a few locations, primarily in Minnesota, Wisconsin, Illinois and Missouri, where sand as white and fine as sugar – thus called saccharoidal – is mined from St. Peter sandstone. Other locations where it can be found around the world include Queensland in Australia and parts of China. Less pure sand can be purified by methods such as acid washing or magnetic separation.

Perhaps no corporation has popularized low-iron and seamless glass in architecture more than the technology giant Apple.

Glass has become fundamentally linked with Apple’s products and architecture, including its flagship stores’ expensive and daring experiments in architectural uses of glass.

Apple’s first showroom, completed in Soho in New York in 2002, showcased all-glass stairs that were strengthened with hurricane- and bullet-resistant plastic interlayers sandwiched between five sheets of glass. The treads attach to all glass walls with a hockey puck-size titanium hardware, making both the glass stairs and the shoppers appear to float.

The company’s iconic flagship store near New York’s Central Park is an all-glass cube measuring 32½ feet (10 meters) on each side and serving as a vestibule to the store below. The first version was completed in 2006 using 90 panels, which was a technical feat. Then, in 2011, Apple reconstructed the cube in the same location, same size, but with only 15 panels, minimizing the number of seams and hardware while maximizing transparency.

Today, low-iron glass has become the standard for high-profile architecture and those who can afford it, including the “pencil towers” in Manhattan’s Billionaires’ Row.

Glass’s climate impact

Glass walls common in high-rise buildings today have other drawbacks. They help to heat up the room during increasingly hot summers and contribute to heat loss in winter, increasing dependence on artificial cooling and heating.

The glassmaking process is energy intensive and relies on nonrenewable resources.

To bring sand to its molten state, the furnace must be heated to over 2,700 degrees Fahrenheit (1,500 degrees Celisus) for as long as 50 hours, which requires burning fossil fuels such as natural gas, releasing greenhouse gases. Once heated to that temperature, the furnace runs 24/7 and is rarely shut down.

The soda ash and limestone also release carbon dioxide during melting. Moreover, glass production requires mining or producing nonrenewable natural resources such as sand, soda ash, lime and fuel. Transporting them further increases emissions.

Production and fabrication of extra-large glass panels rely on specialized equipment and occur only at a limited number of plants in the world, meaning transportation increases the carbon footprint.

Architectural glass is also difficult to recycle, largely due to the labor involved in separating glass from the building assembly.

Although glass is touted as infinitely recyclable, only 6% of architectural glass is downcycled into glass products that require less purity and precision, and almost none is recycled into architectural glass. The rest ends up in landfills.

The increasing demand for glass that is colorless, extra large and seamless contributes to glass’s sustainability problem.

How can we make glass more sustainable?

There are ways to reduce glass’s environmental footprint.

Researchers and companies are working on new types of glass that could lower its climate impact, such as using materials that lower the amount of heat necessary to make glass. Replacing natural gas, typically used in glassmaking, with less-polluting power sources can also reduce emissions.

Low-e coatings, a thin coat of silver sprayed onto a glass surface, can help reduce the amount of heat that reaches a building’s interior by reflecting both the visible light and heat, but the coating can’t fully eliminate solar heat gain.

People can also alter their standards and accept smaller and less ultraclear panels. Think of the green tint not as impure but natural.

Aki Ishida does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. Where does your glass come from? – https://theconversation.com/where-does-your-glass-come-from-263421

Source: The Conversation – USA (2) – By Brian W. Stone, Associate Professor of Cognitive Psychology, Boise State University

When OpenAI released “study mode” in July 2025, the company touted ChatGPT’s educational benefits. “When ChatGPT is prompted to teach or tutor, it can significantly improve academic performance,” the company’s vice president of education told reporters at the product’s launch. But any dedicated teacher would be right to wonder: Is this just marketing, or does scholarly research really support such claims?

While generative AI tools are moving into classrooms at lightning speed, robust research on the question at hand hasn’t moved nearly as fast. Some early studies have shown benefits for certain groups such as computer programming students and English language learners. And there have been a number of other optimistic studies on AI in education, such as one published in the journal Nature in May 2025 suggesting that chatbots may aid learning and higher-order thinking. But scholars in the field have pointed to significant methodological weaknesses in many of these research papers.

Other studies have painted a grimmer picture, suggesting that AI may impair performance or cognitive abilities such as critical thinking skills. One paper showed that the more a student used ChatGPT while learning, the worse they did later on similar tasks when ChatGPT wasn’t available.

In other words, early research is only beginning to scratch the surface of how this technology will truly affect learning and cognition in the long run. Where else can we look for clues? As a cognitive psychologist who has studied how college students are using AI, I have found that my field offers valuable guidance for identifying when AI can be a brain booster and when it risks becoming a brain drain.

Skill comes from effort

Cognitive psychologists have argued that our thoughts and decisions are the result of two processing modes, commonly denoted as System 1 and System 2.

The former is a system of pattern matching, intuition and habit. It is fast and automatic, requiring little conscious attention or cognitive effort. Many of our routine daily activities – getting dressed, making coffee and riding a bike to work or school – fall into this category. System 2, on the other hand, is generally slow and deliberate, requiring more conscious attention and sometimes painful cognitive effort, but often yields more robust outputs.

We need both of these systems, but gaining knowledge and mastering new skills depend heavily on System 2. Struggle, friction and mental effort are crucial to the cognitive work of learning, remembering and strengthening connections in the brain. Every time a confident cyclist gets on a bike, they rely on the hard-won pattern recognition in their System 1 that they previously built up through many hours of effortful System 2 work spent learning to ride. You don’t get mastery and you can’t chunk information efficiently for higher-level processing without first putting in the cognitive effort and strain.

I tell my students the brain is a lot like a muscle: It takes genuine hard work to see gains. Without challenging that muscle, it won’t grow bigger.

What if a machine does the work for you?

Now imagine a robot that accompanies you to the gym and lifts the weights for you, no strain needed on your part. Before long, your own muscles will have atrophied and you’ll become reliant on the robot at home even for simple tasks like moving a heavy box.

AI, used poorly – to complete a quiz or write an essay, say – lets students bypass the very thing they need to develop knowledge and skills. It takes away the mental workout.

Using technology to effectively offload cognitive workouts can have a detrimental effect on learning and memory and can cause people to misread their own understanding or abilities, leading to what psychologists call metacognitive errors. Research has shown that habitually offloading car navigation to GPS may impair spatial memory and that using an external source like Google to answer questions makes people overconfident in their own personal knowledge and memory.

Are there similar risks when students hand off cognitive tasks to AI? One study found that students researching a topic using ChatGPT instead of a traditional web search had lower cognitive load during the task – they didn’t have to think as hard – and produced worse reasoning about the topic they had researched. Surface-level use of AI may mean less cognitive burden in the moment, but this is akin to letting a robot do your gym workout for you. It ultimately leads to poorer thinking skills.

In another study, students using AI to revise their essays scored higher than those revising without AI, often by simply copying and pasting sentences from ChatGPT. But these students showed no more actual knowledge gain or knowledge transfer than their peers who worked without it. The AI group also engaged in fewer rigorous System 2 thinking processes. The authors warn that such “metacognitive laziness” may prompt short-term performance improvements but also lead to the stagnation of long-term skills.

Offloading can be useful once foundations are in place. But those foundations can’t be formed unless your brain does the initial work necessary to encode, connect and understand the issues you’re trying to master.

Using AI to support learning

Returning to the gym metaphor, it may be useful for students to think of AI as a personal trainer who can keep them on task by tracking and scaffolding learning and pushing them to work harder. AI has great potential as a scalable learning tool, an individualized tutor with a vast knowledge base that never sleeps.

AI technology companies are seeking to design just that: the ultimate tutor. In addition to OpenAI’s entry into education, in April 2025 Anthropic released its learning mode for Claude. These models are supposed to engage in Socratic dialogue, to pose questions and provide hints, rather than just giving the answers.

Early research indicates AI tutors can be beneficial but introduce problems as well. For example, one study found high school students reviewing math with ChatGPT performed worse than students who didn’t use AI. Some students used the base version and others a customized tutor version that gave hints without revealing answers. When students took an exam later without AI access, those who’d used base ChatGPT did much worse than a group who’d studied without AI, yet they didn’t realize their performance was worse. Those who’d studied with the tutor bot did no better than students who’d reviewed without AI, but they mistakenly thought they had done better. So AI didn’t help, and it introduced metacognitive errors.

Even as tutor modes are refined and improved, students have to actively select that mode and, for now, also have to play along, deftly providing context and guiding the chatbot away from worthless, low-level questions or sycophancy.

The latter issues may be fixed with better design, system prompts and custom interfaces. But the temptation of using default-mode AI to avoid hard work will continue to be a more fundamental and classic problem of teaching, course design and motivating students to avoid shortcuts that undermine their cognitive workout.

As with other complex technologies such as smartphones, the internet or even writing itself, it will take more time for researchers to fully understand the true range of AI’s effects on cognition and learning. In the end, the picture will likely be a nuanced one that depends heavily on context and use case.

But what we know about learning tells us that deep knowledge and mastery of a skill will always require a genuine cognitive workout – with or without AI.

Brian W. Stone does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard – https://theconversation.com/how-does-ai-affect-how-we-learn-a-cognitive-psychologist-explains-why-you-learn-when-the-work-is-hard-262863