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Under-funding this stimulus will drag the global economy down. And any appearance that corporations are getting a more fair deal than individuals will make people not want to comply. A lack of compliance will drag on the crisis.

When it falls into ruin, the entire global economy drags. We saw that happen during the financial crisis of 2008.

Congress could under-fund the US coronavirus stimulus package. If they do, they put not only the economy but the effort to fight the virus at risk.

this weekend the Senate was unable to pass aid legislation

Democrats also rejected the bill over a lack of labor protections that would only mandate corporations keep employees "to the extent possible." They want more limits on executive compensation and share buybacks, and they want more money for healthcare workers. They accuse Republicans of being cheap, and writing a deal that favors corporations over average Americans.

The only proposal that comes close to being generous enough for individuals comes from Democratic Rep. Rashida Tlaib. It would give a prepaid card with $2,000 to every American. That card would then be recharged with $1,000 monthly until one year after the end of the coronavirus crisis. This is the kind of plan that will make Americans believe the government has their back, not just the backs of big corporations.

The distrust that is bred by corruption will make it much harder to fight this virus, potentially dragging out the crisis. The vast majority of Americans already think that our lack of trust in each other and our government makes it hard to solve problems, according to Pew Research. If Americans feel like this whole aid package is a handout to big corporations — which they also distrust — they may stop listening to authorities.

Goldman Sachs estimates that the recession brought on by fighting off coronavirus will trough in April, knocking 10% off US GDP. Over time, bank analysts wrote last week, the economy should begin to grow again incrementally. How fast depends on how well Americans comply with government social-distancing mandates. Americans have to want to comply.

Small and midsize companies make up 83% of the US economy, and thousands of workers are already out of a job across the country. Means-testing initial payments to individuals — that is, restricting who gets the checks based on income — is a waste of time.

Now, to hit 1.5˚C, emissions would need to fall off a cliff, falling by 15 percent a year every year, starting in 2020, until they hit net zero.

Emissions have never fallen at 15 percent annually anywhere, much less everywhere. And what earthly reason do we have to believe that emissions will start plunging this year? Look around! The democratic world is in the grips of a populist authoritarian backlash that shows no sign of resolving itself any time soon

In short, there is no “safe” level of global warming

All of those impacts become much worse at 2˚C. (The World Resources Institute has a handy chart; see also this graphic from Carbon Brief.) Severe heat events will become 2.6 times worse, plant and vertebrate species loss 2 times worse, insect species loss 3 times worse, and decline in marine fisheries 2 times worse. Rather than 70 to 90 percent of coral reefs dying, 99 percent will die. Many vulnerable and low-lying areas will become uninhabitable and refugee flows will radically increase. And so on. At 2˚C, climate change will be devastating for large swathes of the globe.

We’ve waited too long. Practically speaking, we are heading past 1.5˚C as we speak and probably past 2˚C as well.

To really grapple with climate change, we have to understand it, and more than that, take it on board emotionally

Given the scale of the challenge and the compressed time to act, there is effectively no practical danger of anyone, at any level, doing too much or acting too quickly.

Right now, much of Australia is on fire — half a billion animals have likely died since September — and it is barely breaking the news cycle in the US

I can’t help but think that the first step in defending and expanding that empathy is reckoning squarely with how much damage we’ve already done and are likely to do, working through the guilt and grief, and resolving to minimize the suffering to come.

Fears about joblessness on this scale could jolt markets again. Investors have priced in a recession by now, but may still be processing the size of the hole the coronavirus has blown into the global economy, Jeffrey Kleintop, chief global investment strategist at Charles Schwab, told me.

The Dow Jones Industrial Average is now down 35% from its all-time high in mid-February, erasing all its gains since President Donald Trump's inauguration. Between January 20 and last Thursday, $27 trillion was wiped off global stocks, according to Bank of America.

"The market is running with the assumption that while this tumult will be the deepest recession in modern-day financial history, it will also be the shortest," Innes wrote.

Worldwide fossil fuel emissions are expected to be up 0.6% in 2019 over 2018, according to projections from the Global Carbon Project. In the past decade, humans have put more than 350 metric gigatons of carbon dioxide into the atmosphere from burning fossil fuels and other industrial processes, according to calculations provided by the World Resources Institute.

Meanwhile, scientists are becoming even more concerned about tipping points in the climate system that could lead to rapid rise in sea levels, the deterioration of the Amazon and so on. One particularly frightening commentary last month in the journal Nature, by several notable climate scientists, says the odds we can avoid tipping points in the climate system "could already have shrunk towards zero." In non-science-speak: We're there now.

This was the decade when some people finally started to see the climate crisis as personal. Climate attribution science, which looks for human fingerprints on extreme weather events, made its way into the popular imagination. We're starting to realize there are no truly "natural" disasters anymore. We've warmed the climate, and we're already making storms riskier.

The news media is picking that up, using terms such as "climate emergency" and "climate crisis" instead of the blander "climate change." Increasingly, lots of people are making these critical connections, which should motivate the political, social and economic revolution necessary to fix things.

Only 52% of American adults say they are "very" or "extremely" sure global warming is happening, according to a report from the Yale Program on Climate Change Communication and the George Mason University Center for Climate Change Communication, which is based on a 1,303 person survey conducted in November 2019. Yale's been asking that question for a while now. Go back a decade, to 2009, and the rate is about the same: 51%.

The bright spot -- and it truly is a bright one -- is that young people are waking up. They are shouting, loudly and with purpose. Witness Greta Thunberg, the dynamic teenager who started a one-girl protest outside the Swedish Parliament last year, demanding that adults take seriously this emergency, which threatens young people and future generations disproportionately.

The result has been a hidden revolution in how information is produced, circulated and acted upon

The world’s liberal democracies now confront a tragedy of the “un-commons.” Information spaces that people assume to be public are strictly ruled by private commercial interests for maximum profit.

The internet as a self-regulating market has been revealed as a failed experiment. Surveillance capitalism leaves a trail of social wreckage in its wake: the wholesale destruction of privacy, the intensification of social inequality, the poisoning of social discourse with defactualized information, the demolition of social norms and the weakening of democratic institutions.

These social harms are not random. They are tightly coupled effects of evolving economic operations. Each harm paves the way for the next and is dependent on what went before.

There is no way to escape the machine systems that surveil u

All roads to economic and social participation now lead through surveillance capitalism’s profit-maximizing institutional terrain, a condition that has intensified during nearly two years of global plague.

Will Facebook’s digital violence finally trigger our commitment to take back the “un-commons”?

Will we confront the fundamental but long ignored questions of an information civilization: How should we organize and govern the information and communication spaces of the digital century in ways that sustain and advance democratic values and principles?

Mark Zuckerberg’s start-up did not invent surveillance capitalism. Google did that. In 2000, when only 25 percent of the world’s information was stored digitally, Google was a tiny start-up with a great search product but little revenue.

By 2001, in the teeth of the dot-com bust, Google’s leaders found their breakthrough in a series of inventions that would transform advertising. Their team learned how to combine massive data flows of personal information with advanced computational analyses to predict where an ad should be placed for maximum “click through.”

Google’s scientists learned how to extract predictive metadata from this “data exhaust” and use it to analyze likely patterns of future behavior.

Prediction was the first imperative that determined the second imperative: extraction.

Lucrative predictions required flows of human data at unimaginable scale. Users did not suspect that their data was secretly hunted and captured from every corner of the internet and, later, from apps, smartphones, devices, cameras and sensors

User ignorance was understood as crucial to success. Each new product was a means to more “engagement,” a euphemism used to conceal illicit extraction operations.

When asked “What is Google?” the co-founder Larry Page laid it out in 2001,

“Storage is cheap. Cameras are cheap. People will generate enormous amounts of data,” Mr. Page said. “Everything you’ve ever heard or seen or experienced will become searchable. Your whole life will be searchable.”

Instead of selling search to users, Google survived by turning its search engine into a sophisticated surveillance medium for seizing human data

Company executives worked to keep these economic operations secret, hidden from users, lawmakers, and competitors. Mr. Page opposed anything that might “stir the privacy pot and endanger our ability to gather data,” Mr. Edwards wrote.

As recently as 2017, Eric Schmidt, the executive chairman of Google’s parent company, Alphabet, acknowledged the role of Google’s algorithmic ranking operations in spreading corrupt information. “There is a line that we can’t really get across,” he said. “It is very difficult for us to understand truth.” A company with a mission to organize and make accessible all the world’s information using the most sophisticated machine systems cannot discern corrupt information.

This is the economic context in which disinformation wins

In March 2008, Mr. Zuckerberg hired Google’s head of global online advertising, Sheryl Sandberg, as his second in command. Ms. Sandberg had joined Google in 2001 and was a key player in the surveillance capitalism revolution. She led the build-out of Google’s advertising engine, AdWords, and its AdSense program, which together accounted for most of the company’s $16.6 billion in revenue in 2007.

A Google multimillionaire by the time she met Mr. Zuckerberg, Ms. Sandberg had a canny appreciation of Facebook’s immense opportunities for extraction of rich predictive data. “We have better information than anyone else. We know gender, age, location, and it’s real data as opposed to the stuff other people infer,” Ms. Sandberg explained

The company had “better data” and “real data” because it had a front-row seat to what Mr. Page had called “your whole life.”

Facebook paved the way for surveillance economics with new privacy policies in late 2009. The Electronic Frontier Foundation warned that new “Everyone” settings eliminated options to restrict the visibility of personal data, instead treating it as publicly available information.

Mr. Zuckerberg “just went for it” because there were no laws to stop him from joining Google in the wholesale destruction of privacy. If lawmakers wanted to sanction him as a ruthless profit-maximizer willing to use his social network against society, then 2009 to 2010 would have been a good opportunity.

Facebook was the first follower, but not the last. Google, Facebook, Amazon, Microsoft and Apple are private surveillance empires, each with distinct business models.

In 2021 these five U.S. tech giants represent five of the six largest publicly traded companies by market capitalization in the world.

As we move into the third decade of the 21st century, surveillance capitalism is the dominant economic institution of our time. In the absence of countervailing law, this system successfully mediates nearly every aspect of human engagement with digital information

Today all apps and software, no matter how benign they appear, are designed to maximize data collection.

Historically, great concentrations of corporate power were associated with economic harms. But when human data are the raw material and predictions of human behavior are the product, then the harms are social rather than economic

The difficulty is that these novel harms are typically understood as separate, even unrelated, problems, which makes them impossible to solve. Instead, each new stage of harm creates the conditions for the next stage.

Fifty years ago the conservative economist Milton Friedman exhorted American executives, “There is one and only one social responsibility of business — to use its resources and engage in activities designed to increase its profits so long as it stays within the rules of the game.” Even this radical doctrine did not reckon with the possibility of no rules.

With privacy out of the way, ill-gotten human data are concentrated within private corporations, where they are claimed as corporate assets to be deployed at will.

The sheer size of this knowledge gap is conveyed in a leaked 2018 Facebook document, which described its artificial intelligence hub, ingesting trillions of behavioral data points every day and producing six million behavioral predictions each second.

Next, these human data are weaponized as targeting algorithms, engineered to maximize extraction and aimed back at their unsuspecting human sources to increase engagement

Targeting mechanisms change real life, sometimes with grave consequences. For example, the Facebook Files depict Mr. Zuckerberg using his algorithms to reinforce or disrupt the behavior of billions of people. Anger is rewarded or ignored. News stories become more trustworthy or unhinged. Publishers prosper or wither. Political discourse turns uglier or more moderate. People live or die.

Occasionally the fog clears to reveal the ultimate harm: the growing power of tech giants willing to use their control over critical information infrastructure to compete with democratically elected lawmakers for societal dominance.

when it comes to the triumph of surveillance capitalism’s revolution, it is the lawmakers of every liberal democracy, especially in the United States, who bear the greatest burden of responsibility. They allowed private capital to rule our information spaces during two decades of spectacular growth, with no laws to stop it.

All of it begins with extraction. An economic order founded on the secret massive-scale extraction of human data assumes the destruction of privacy as a nonnegotiable condition of its business operations.

We can’t fix all our problems at once, but we won’t fix any of them, ever, unless we reclaim the sanctity of information integrity and trustworthy communications

The abdication of our information and communication spaces to surveillance capitalism has become the meta-crisis of every republic, because it obstructs solutions to all other crises.

Neither Google, nor Facebook, nor any other corporate actor in this new economic order set out to destroy society, any more than the fossil fuel industry set out to destroy the earth.

like global warming, the tech giants and their fellow travelers have been willing to treat their destructive effects on people and society as collateral damage — the unfortunate but unavoidable byproduct of perfectly legal economic operations that have produced some of the wealthiest and most powerful corporations in the history of capitalism.

Where does that leave us?

Democracy is the only countervailing institutional order with the legitimate authority and power to change our course. If the ideal of human self-governance is to survive the digital century, then all solutions point to one solution: a democratic counterrevolution.

instead of the usual laundry lists of remedies, lawmakers need to proceed with a clear grasp of the adversary: a single hierarchy of economic causes and their social harms.

We can’t rid ourselves of later-stage social harms unless we outlaw their foundational economic causes

This means we move beyond the current focus on downstream issues such as content moderation and policing illegal content. Such “remedies” only treat the symptoms without challenging the illegitimacy of the human data extraction that funds private control over society’s information spaces

Similarly, structural solutions like “breaking up” the tech giants may be valuable in some cases, but they will not affect the underlying economic operations of surveillance capitalism.

Instead, discussions about regulating big tech should focus on the bedrock of surveillance economics: the secret extraction of human data from realms of life once called “private.

No secret extraction means no illegitimate concentrations of knowledge about people. No concentrations of knowledge means no targeting algorithms. No targeting means that corporations can no longer control and curate information flows and social speech or shape human behavior to favor their interests

the sober truth is that we need lawmakers ready to engage in a once-a-century exploration of far more basic questions:

How should we structure and govern information, connection and communication in a democratic digital century?

What new charters of rights, legislative frameworks and institutions are required to ensure that data collection and use serve the genuine needs of individuals and society?

What measures will protect citizens from unaccountable power over information, whether it is wielded by private companies or governments?

The corporation that is Facebook may change its name or its leaders, but it will not voluntarily change its economics.

Because of its large population, India alone accounted for an estimated 22% -- or 4.1 million -- of the global deaths. The U.S. and Russia were the next highest with 1.1 million each, followed by Mexico, Brazil and Indonesia.

In the end, the scientists estimated there was an excess of 120 deaths for every 100,000 people around the world. The study found 21 countries had estimated mortality rates higher than 300 per 100,000, led by Bolivia and Bulgaria

Places with the lowest estimated excess mortality rate were Iceland, Australia, Singapore and New Zealand.

Mask-wearing, physical distancing and other public health measures led to a decline in other communicable diseases, which reduced mortality in some countries

the prevalence of obesity and older age in a population were two of the biggest determinants of excess mortality, Murray said. 

Such a dark age is a growing possibility. In a recent report, the National Academies of Sciences, Engineering and Medicine concluded that human-caused global warming was already altering patterns of some extreme weather events

disrupting nature’s patterns could extend well beyond extreme weather, with far more pervasive impacts.

Our foundation of Earth knowledge, largely derived from historically observed patterns, has been central to society’s progress.

Science has accelerated this learning process through advanced observation methods and pattern discovery techniques. These allow us to anticipate the future with a consistency unimaginable to our ancestors

As Earth’s warming stabilizes, new patterns begin to appear. At first, they are confusing and hard to identify. Scientists note similarities to Earth’s emergence from the last ice age. These new patterns need many years — sometimes decades or more — to reveal themselves fully, even when monitored with our sophisticated observing systems

The list of possible disruptions is long and alarming. We could see changes to the prevalence of crop and human pests, like locust plagues set off by drought conditions; forest fire frequency; the dynamics of the predator-prey food chain; the identification and productivity of reliably arable land, and the predictability of agriculture output.

Historians of the next century will grasp the importance of this decline in our ability to predict the future. They may mark the coming decades of this century as the period during which humanity, despite rapid technological and scientific advances, achieved “peak knowledge” about the planet it occupies

The intermediate time period is our big challenge. Without substantial scientific breakthroughs, we will remain reliant on pattern-based methods for time periods between a month and a decade. The problem is, as the planet warms, these patterns will become increasingly difficult to discern.

The oceans, which play a major role in global weather patterns, will also see substantial changes as global temperatures rise. Ocean currents and circulation patterns evolve on time scales of decades and longer, and fisheries change in response. We lack reliable, physics-based models to tell us how this occurs

Civilization’s understanding of Earth has expanded enormously in recent decades, making humanity safer and more prosperous. As the patterns that we have come to expect are disrupted by warming temperatures, we will face huge challenges feeding a growing population and prospering within our planet’s finite resources. New developments in science offer our best hope for keeping up, but this is by no means guaranteed

Our grandchildren could grow up knowing less about the planet than we do today. This is not a legacy we want to leave them. Yet we are on the verge of ensuring this happens.

Microsoft leaders felt “enormous urgency” for it to be the company to bring this technology to market, because others around the world are working on similar tech but might not have the resources or inclination to build it as responsibly, says Sarah Bird, a leader on Microsoft’s responsible AI team.

One common starting point for such models is what is essentially a download or “scrape” of most of the internet. In the past, these language models were used to try to understand text, but the new generation of them, part of the revolution in “generative” AI, uses those same models to create texts by trying to guess, one word at a time, the most likely word to come next in any given sequence.

Wide-scale testing gives Microsoft and OpenAI a big competitive edge by enabling them to gather huge amounts of data about how people actually use such chatbots. Both the prompts users input into their systems, and the results their AIs spit out, can then be fed back into a complicated system—which includes human content moderators paid by the companies—to improve it.

, being first to market with a chat-based AI gives these companies a huge initial lead over companies that have been slower to release their own chat-based AIs, such as Google.

rarely has an experiment like Microsoft and OpenAI’s been rolled out so quickly, and at such a broad scale.

Among those who build and study these kinds of AIs, Mr. Altman’s case for experimenting on the global public has inspired responses ranging from raised eyebrows to condemnation.

The fact that we’re all guinea pigs in this experiment doesn’t mean it shouldn’t be conducted, says Nathan Lambert, a research scientist at the AI startup Huggingface.

“I would kind of be happier with Microsoft doing this experiment than a startup, because Microsoft will at least address these issues when the press cycle gets really bad,” says Dr. Lambert. “I think there are going to be a lot of harms from this kind of AI, and it’s better people know they are coming,” he adds.

Others, particularly those who study and advocate for the concept of “ethical AI” or “responsible AI,” argue that the global experiment Microsoft and OpenAI are conducting is downright dangerous

Celeste Kidd, a professor of psychology at University of California, Berkeley, studies how people acquire knowledge

Her research has shown that people learning about new things have a narrow window in which they form a lasting opinion. Seeing misinformation during this critical initial period of exposure to a new concept—such as the kind of misinformation that chat-based AIs can confidently dispense—can do lasting harm, she says.

Dr. Kidd likens OpenAI’s experimentation with AI to exposing the public to possibly dangerous chemicals. “Imagine you put something carcinogenic in the drinking water and you were like, ‘We’ll see if it’s carcinogenic.’ After, you can’t take it back—people have cancer now,”

Part of the challenge with AI chatbots is that they can sometimes simply make things up. Numerous examples of this tendency have been documented by users of both ChatGPT and OpenA

These models also tend to be riddled with biases that may not be immediately apparent to users. For example, they can express opinions gleaned from the internet as if they were verified facts

When millions are exposed to these biases across billions of interactions, this AI has the potential to refashion humanity’s views, at a global scale, says Dr. Kidd.

OpenAI has talked publicly about the problems with these systems, and how it is trying to address them. In a recent blog post, the company said that in the future, users might be able to select AIs whose “values” align with their own.

“We believe that AI should be a useful tool for individual people, and thus customizable by each user up to limits defined by society,” the post said.

Eliminating made-up information and bias from chat-based search engines is impossible given the current state of the technology, says Mark Riedl, a professor at Georgia Institute of Technology who studies artificial intelligence

He believes the release of these technologies to the public by Microsoft and OpenAI is premature. “We are putting out products that are still being actively researched at this moment,” he adds. 

in other areas of human endeavor—from new drugs and new modes of transportation to advertising and broadcast media—we have standards for what can and cannot be unleashed on the public. No such standards exist for AI, says Dr. Riedl.

To modify these AIs so that they produce outputs that humans find both useful and not-offensive, engineers often use a process called “reinforcement learning through human feedback.

that’s a fancy way of saying that humans provide input to the raw AI algorithm, often by simply saying which of its potential responses to a query are better—and also which are not acceptable at all.

Microsoft’s and OpenAI’s globe-spanning experiments on millions of people are yielding a fire hose of data for both companies. User-entered prompts and the AI-generated results are fed back through a network of paid human AI trainers to further fine-tune the models,

Huggingface’s Dr. Lambert says that any company, including his own, that doesn’t have this river of real-world usage data helping it improve its AI is at a huge disadvantage

In chatbots, in some autonomous-driving systems, in the unaccountable AIs that decide what we see on social media, and now, in the latest applications of AI, again and again we are the guinea pigs on which tech companies are testing new technology.

It may be the case that there is no other way to roll out this latest iteration of AI—which is already showing promise in some areas—at scale. But we should always be asking, at times like these: At what price?

these patterns match recent political events. In international negotiations, the United States has been less interested in taking steps to slow global warming than many other rich countries. President Obama and a majority of Democrats favored a bill that would have raised the cost of emitting carbon, and such a bill passed the House of Representatives in 2009. Strong opposition from Republicans in the Senate, as well as some Democrats from coal-producing states, defeated the bill there.

This means that, even under the best circumstances, scientists can’t directly test what the results of a given gun policy are. The best you can do is to compare what was happening in a state before and after a policy was enacted, or to compare two different states, one that has the policy and one that doesn’t. And that’s a pretty inexact way of working.

Add in enough assumptions, and you can eventually come up with an estimate. But is the estimate correct? Is it even close to reality? That’s a hard question to answer, because the assumptions you made—the correlations you drew between cause and effect, what you know and what you assume to be true because of that—might be totally wrong.

It’s hard to tease apart the effect of one specific change, compared to the effects of other things that could be happening at the same time.

This process of taking the observational data we do have and then running it through a filter of assumptions plays out in the real world in the form of statistical modeling. When the NAS report says that nobody yet knows whether more guns lead to more crime, or less crime, what they mean is that the models and the assumptions built into those models are all still proving to be pretty weak.

From either side of the debate, he said, scientists continue to produce wildly different conclusions using the same data. On either side, small shifts in the assumptions lead the models to produce different results. Both factions continue to choose sets of assumptions that aren’t terribly logical. It’s as if you decided that anybody with blue shoes probably had a belly-button piercing. There’s not really a good reason for making that correlation. And if you change the assumption—actually, belly-button piercings are more common in people who wear green shoes—you end up with completely different results.

The Intergovernmental Panel on Climate Change (IPCC) produces these big reports periodically, which analyze lots of individual papers. In essence, they’re looking at lots of trees and trying to paint you a picture of the forest. IPCC reports are available for free online, you can go and read them yourself. When you do, you’ll notice something interesting about the way that the reports present results. The IPCC never says, “Because we burned fossil fuels and emitted carbon dioxide into the atmosphere then the Earth will warm by x degrees.” Instead, those reports present a range of possible outcomes … for everything. Depending on the different models used, different scenarios presented, and the different assumptions made, the temperature of the Earth might increase by anywhere between 1.5 and 4.5 degrees Celsius.

What you’re left with is an environment where it’s really easy to prove that your colleague’s results are probably wrong, and it’s easy for him to prove that yours are probably wrong. But it’s not easy for either of you to make a compelling case for why you’re right.

Statistical modeling isn’t unique to gun research. It just happens to be particularly messy in this field. Scientists who study other topics have done a better job of using stronger assumptions and of building models that can’t be upended by changing one small, seemingly randomly chosen detail. It’s not that, in these other fields, there’s only one model being used, or even that all the different models produce the exact same results. But the models are stronger and, more importantly, the scientists do a better job of presenting the differences between models and drawing meaning from them.

“Climate change is one of the rare scientific literatures that has actually faced up to this,” Charles Manski said. What he means is that, when scientists model climate change, they don’t expect to produce exact, to-the-decimal-point answers.

“It’s been a complete waste of time, because we can’t validate one model versus another,” Pepper said. Most likely, he thinks that all of them are wrong. For instance, all the models he’s seen assume that a law will affect every state in the same way, and every person within that state in the same way. “But if you think about it, that’s just nonsensical,” he said.

On the one hand, that leaves politicians in a bit of a lurch. The response you might mount to counteract a 1.5 degree increase in global average temperature is pretty different from the response you’d have to 4.5 degrees. On the other hand, the range does tell us something valuable: the temperature is increasing.

The problem with this is that it flies in the face of what most of us expect science to do for public policy. Politics is inherently biased, right? The solutions that people come up with are driven by their ideologies. Science is supposed to cut that Gordian Knot. It’s supposed to lay the evidence down on the table and impartially determine who is right and who is wrong.

Manski and Pepper say that this is where we need to rethink what we expect science to do. Science, they say, isn’t here to stop all political debate in its tracks. In a situation like this, it simply can’t provide a detailed enough answer to do that—not unless you’re comfortable with detailed answers that are easily called into question and disproven by somebody else with a detailed answer.

Instead, science can reliably produce a range of possible outcomes, but it’s still up to the politicians (and, by extension, up to us) to hash out compromises between wildly differing values on controversial subjects. When it comes to complex social issues like gun ownership and gun violence, science doesn’t mean you get to blow off your political opponents and stake a claim on truth. Chances are, the closest we can get to the truth is a range that encompasses the beliefs of many different groups.

Complaining about political correctness is patriotically correct. The patriotically correct must use the non-word “illegals,” or “illegal immigrant” or “illegal alien” to describe foreigners who broke our immigration laws. Dissenters support “open borders” or “shamnesty” for 30 million illegal alien invaders. The punishment is deportation because “we’re a nation of laws” and they didn’t “get in line,” even though no such line actually exists. Just remember that they are never anti-immigration, only anti-illegal immigration, even when they want to cut legal immigration.

Black Lives Matter is racist because it implies that black lives are more important than other lives, but Blue Lives Matter doesn’t imply that cops’ lives are more important than the rest of ours. Banning Islam or Muslim immigration is a necessary security measure, but homosexuals should not be allowed to get married because it infringes on religious liberty. Transgender people could access women’s restrooms for perverted purposes, but Donald Trump walking in on nude underage girls in dressing rooms before a beauty pageant is just “media bias.”

Terrorism is an “existential threat,” even though the chance of being killed in a terrorist attack is about 1 in 3.2 million a year. Saying the words “radical Islam” when describing terrorism is an important incantation necessary to defeat that threat. When Chobani yogurt founder Hamdi Ulukaya decides to employ refugees in his factories, it’s because of his ties to “globalist corporate figures.” Waving a Mexican flag on U.S. soil means you hate America, but waving a Confederate flag just means you’re proud of your heritage.

Insufficient displays of patriotism among the patriotically correct can result in exclusion from public life and ruined careers. It also restricts honest criticism of failed public policies, diverting blame for things like the war in Iraq to those Americans who didn’t support the war effort enough.

Poor white Americans are the victims of economic dislocation and globalization beyond their control, while poor blacks and Hispanics are poor because of their failed cultures. The patriotically correct are triggered when they hear strangers speaking in a language other than English. Does that remind you of the PC duty to publicly shame those who use unacceptable language to describe race, gender or whatever other identity is the victim du jour?

The patriotically correct rightly ridicule PC “safe spaces” but promptly retreat to Breitbart or talk radio, where they can have mutually reinforcing homogeneous temper tantrums while complaining about the lack of intellectual diversity on the left.

There is no such thing as too much national security, but it’s liberals who want to coddle Americans with a “nanny state.”

Those who disagree with the patriotically correct are animated by anti-Americanism, are post-American, or deserve any other of a long list of clunky and vague labels that signal virtue to other members of the patriotic in-group.

Every group has implicit rules against certain opinions, actions and language as well as enforcement mechanisms — and the patriotically correct are no exception. But they are different because they are near-uniformly unaware of how they are hewing to a code of speech and conduct similar to the PC lefties they claim to oppose.

The modern form of political correctness on college campuses and the media is social tyranny with manners, while patriotic correctness is tyranny without the manners, and its adherents do not hesitate to use the law to advance their goals.

Meanwhile, new research suggests, tens of thousands of reports are being published without English translations.

“Scientific knowledge generated in the field by non-native English speakers is inevitably under-represented, particularly in the dominant English-language academic journals,” Amano said. “This potentially renders local and indigenous knowledge unavailable in English.”

English wasn’t always the lingua franca, or common language, of science.

But doubling down on English may not be the best way to overcome the language barrier, researchers say. Instead, they argue, journals should supply translations of current scientific publications. To emphasize that point, authors included summaries of their new study in Spanish, Portuguese, Chinese, Japanese, and French.

What the rise of the BRICs symbolizes to both panicked individuals in the West and optimistic ones elsewhere is a radical shift in the geography of power -- a catch-up or reversal of the Western global dominance that was established with the Industrial Revolution.

developing countries won't be able to follow the West's path to becoming rich, because that path required certain things that were largely particular to that one period in history.

The challenge ahead for the BRICs, then, is to figure out how to maintain growth in a world where the vast new frontier opened up by the Industrial Revolution appears to be closing. The BRICs can play the West's game better than the West, both through technological innovation and population growth, but only for so long. The whole world has to figure out a way of dealing with energy and agriculture.

Two environmental specialists for the World Bank, Robert Goodland (the bank’s former lead environmental adviser) and Jeff Anhang, claimed, in an article in World Watch, that the number was more like 51 percent.

few people take the role of livestock in producing greenhouse gases seriously enough. Even most climate change experts focus on new forms of energy

If you believe that earth’s natural resources are limitless, which maybe was excusable 100 years ago but is the height of ignorance now,  or that “technology will fix it” or that we can simply go mine them in outer space with Newt Gingrich, I guess none of this worries you. But if you believe in reality, and you’d like that to be a place that your kids get to enjoy, this is a big deal.

It’s seldom that such enormous problems have such simple solutions, but this is one that does. We can tackle climate change without inventing new cars or spending billions on mass transit or trillions on new forms of energy, though all of that is not only desirable but essential.