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a new book, The Experience Machine: How Our Minds Predict and Shape Reality, which is remarkable for how it connects the high-level concepts to everyday examples of how our brains make predictions, how that process can lead us astray, and what we can do about it.

being driven to stay within your own viability envelope is crucial to the kind of intelligence that we know about—the kind of intelligence that we are

If you ask what is a predictive brain for, the answer has to be: staying alive. Predictive brains are a way of staying within your viability envelope as an embodied biological organism: getting food when you need it, getting water when you need it.

in predictive processing, perception is structured around prediction. Perception is about the brain having a guess at what’s most likely to be out there and then using sensory information to refine the guess.

artificial curiosity. Predictive-processing systems automatically have that. They’re set up so that they predict the conditions of their own survival, and they’re always trying to get rid of prediction errors. But if they’ve solved all their practical problems and they’ve got nothing else to do, then they’ll just explore. Getting rid of any error is going to be a good thing for them. If you’re a creature like that, you’re going to be a really good learning system. You’re going to love to inhabit the environments that you can learn most from, where the problems are not too simple, not too hard, but just right.

It’s an effect that you also see in Marieke Jepma et al.’s work on pain. They showed that if you predict intense pain, the signal that you get will be interpreted as more painful than it would otherwise be, and vice versa. Then they asked why you don’t correct your misimpression. If it’s my expectation that is making it feel more painful, why don’t I get prediction errors that correct it?

The reason is that there are no errors. You’re expecting a certain level of pain, and your prediction helps bring that level about; there is nothing for you to correct. In fact, you’ve got confirmation of your own prediction. So it can be a vicious circle

Do you think this self-fulfilling loop in psychosis and pain perception helps to account for misinformation in our society’s and people’s susceptibility to certain narratives?Absolutely. We all have these vulnerabilities and self-fulfilling cycles. We look at the places that tend to support the models that we already have, because that’s often how we judge whether the information is good or not

Given that we know we’re vulnerable to self-fulfilling information loops, how can we make sure we don’t get locked into a belief?Unfortunately, it’s really difficult. The most potent intervention is to remind ourselves that we sample the world in ways that are guided by the models that we’ve currently got. The structures of science are there to push back against our natural tendency to cherry-pick.

Some experts displayed a top-down style of reasoning: politics as a deductive art. They started with a big-idea premise about human nature, society, or economics and applied it to the specifics of the case. They tended to reach more confident conclusions about the future. And the positions they reached were easier to classify ideologically: that is the Keynesian prediction and that is the free-market fundamentalist prediction and that is the worst-case environmentalist prediction and that is the best case technology-driven growth prediction etc. Other experts displayed a bottom-up style of reasoning: politics as a much messier inductive art. They reached less confident conclusions and they are more likely to draw on a seemingly contradictory mix of ideas in reaching those conclusions (sometimes from the left, sometimes from the right). We called the big-idea experts “hedgehogs” (they know one big thing) and the more eclectic experts “foxes” (they know many, not so big things).

The most consistent predictor of consistently more accurate forecasts was “style of reasoning”: experts with the more eclectic, self-critical, and modest cognitive styles tended to outperform the big-idea people (foxes tended to outperform hedgehogs).

Lehrer: Can non-experts do anything to encourage a more effective punditocracy?

Tetlock: Yes, non-experts can encourage more accountability in the punditocracy. Pundits are remarkably skillful at appearing to go out on a limb in their claims about the future, without actually going out on one. For instance, they often “predict” continued instability and turmoil in the Middle East (predicting the present) but they virtually never get around to telling you exactly what would have to happen to disconfirm their expectations. They are essentially impossible to pin down. If pundits felt that their public credibility hinged on participating in level playing field forecasting exercises in which they must pit their wits against an extremely difficult-to-predict world, I suspect they would be learn, quite quickly, to be more flexible and foxlike in their policy pronouncements.

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By the end of World War II, however, American corporations were facing severe talent shortages. Their senior executives were growing old, and a dearth of hiring from the Depression through the war had resulted in a shortfall of able, well-trained managers. Finding people who had the potential to rise quickly through the ranks became an overriding preoccupation of American businesses. They began to devise a formal hiring-and-management system based in part on new studies of human behavior, and in part on military techniques developed during both world wars, when huge mobilization efforts and mass casualties created the need to get the right people into the right roles as efficiently as possible. By the 1950s, it was not unusual for companies to spend days with young applicants for professional jobs, conducting a battery of tests, all with an eye toward corner-office potential.

But companies abandoned their hard-edged practices for another important reason: many of their methods of evaluation turned out not to be very scientific.

this regime, so widespread in corporate America at mid-century, had almost disappeared by 1990. “I think an HR person from the late 1970s would be stunned to see how casually companies hire now,”

Many factors explain the change, he said, and then he ticked off a number of them: Increased job-switching has made it less important and less economical for companies to test so thoroughly. A heightened focus on short-term financial results has led to deep cuts in corporate functions that bear fruit only in the long term. The Civil Rights Act of 1964, which exposed companies to legal liability for discriminatory hiring practices, has made HR departments wary of any broadly applied and clearly scored test that might later be shown to be systematically biased.

about a quarter of the country’s corporations were using similar tests to evaluate managers and junior executives, usually to assess whether they were ready for bigger roles.

Aptitude, skills, personal history, psychological stability, discretion, loyalty—companies at the time felt they had a need (and the right) to look into them all. That ambit is expanding once again, and this is undeniably unsettling. Should the ideas of scientists be dismissed because of the way they play a game? Should job candidates be ranked by what their Web habits say about them? Should the “data signature” of natural leaders play a role in promotion? These are all live questions today, and they prompt heavy concerns: that we will cede one of the most subtle and human of skills, the evaluation of the gifts and promise of other people, to machines; that the models will get it wrong; that some people will never get a shot in the new workforce.

Knack makes app-based video games, among them Dungeon Scrawl, a quest game requiring the player to navigate a maze and solve puzzles, and Wasabi Waiter, which involves delivering the right sushi to the right customer at an increasingly crowded happy hour. These games aren’t just for play: they’ve been designed by a team of neuroscientists, psychologists, and data scientists to suss out human potential. Play one of them for just 20 minutes, says Guy Halfteck, Knack’s founder, and you’ll generate several megabytes of data, exponentially more than what’s collected by the SAT or a personality test. How long you hesitate before taking every action, the sequence of actions you take, how you solve problems—all of these factors and many more are logged as you play, and then are used to analyze your creativity, your persistence, your capacity to learn quickly from mistakes, your ability to prioritize, and even your social intelligence and personality. The end result, Halfteck says, is a high-resolution portrait of your psyche and intellect, and an assessment of your potential as a leader or an innovator.

When the results came back, Haringa recalled, his heart began to beat a little faster. Without ever seeing the ideas, without meeting or interviewing the people who’d proposed them, without knowing their title or background or academic pedigree, Knack’s algorithm had identified the people whose ideas had panned out. The top 10 percent of the idea generators as predicted by Knack were in fact those who’d gone furthest in the process.

What Knack is doing, Haringa told me, “is almost like a paradigm shift.” It offers a way for his GameChanger unit to avoid wasting time on the 80 people out of 100—nearly all of whom look smart, well-trained, and plausible on paper—whose ideas just aren’t likely to work out.

He has encouraged the company’s HR executives to think about applying the games to the recruitment and evaluation of all professional workers.

scoring distance from work could violate equal-employment-opportunity standards. Marital status? Motherhood? Church membership? “Stuff like that,” Meyerle said, “we just don’t touch”—at least not in the U.S., where the legal environment is strict. Meyerle told me that Evolv has looked into these sorts of factors in its work for clients abroad, and that some of them produce “startling results.”

consider the alternative. A mountain of scholarly literature has shown that the intuitive way we now judge professional potential is rife with snap judgments and hidden biases, rooted in our upbringing or in deep neurological connections that doubtless served us well on the savanna but would seem to have less bearing on the world of work.

We may like to think that society has become more enlightened since those days, and in many ways it has, but our biases are mostly unconscious, and they can run surprisingly deep. Consider race. For a 2004 study called “Are Emily and Greg More Employable Than Lakisha and Jamal?,” the economists Sendhil Mullainathan and Marianne Bertrand put white-sounding names (Emily Walsh, Greg Baker) or black-sounding names (Lakisha Washington, Jamal Jones) on similar fictitious résumés, which they then sent out to a variety of companies in Boston and Chicago. To get the same number of callbacks, they learned, they needed to either send out half again as many résumés with black names as those with white names, or add eight extra years of relevant work experience to the résumés with black names.

a sociologist at Northwestern, spent parts of the three years from 2006 to 2008 interviewing professionals from elite investment banks, consultancies, and law firms about how they recruited, interviewed, and evaluated candidates, and concluded that among the most important factors driving their hiring recommendations were—wait for it—shared leisure interests.

Lacking “reliable predictors of future performance,” Rivera writes, “assessors purposefully used their own experiences as models of merit.” Former college athletes “typically prized participation in varsity sports above all other types of involvement.” People who’d majored in engineering gave engineers a leg up, believing they were better prepared.

the prevailing system of hiring and management in this country involves a level of dysfunction that should be inconceivable in an economy as sophisticated as ours. Recent survey data collected by the Corporate Executive Board, for example, indicate that nearly a quarter of all new hires leave their company within a year of their start date, and that hiring managers wish they’d never extended an offer to one out of every five members on their team

In the late 1990s, as these assessments shifted from paper to digital formats and proliferated, data scientists started doing massive tests of what makes for a successful customer-support technician or salesperson. This has unquestionably improved the quality of the workers at many firms.

In 2010, however, Xerox switched to an online evaluation that incorporates personality testing, cognitive-skill assessment, and multiple-choice questions about how the applicant would handle specific scenarios that he or she might encounter on the job. An algorithm behind the evaluation analyzes the responses, along with factual information gleaned from the candidate’s application, and spits out a color-coded rating: red (poor candidate), yellow (middling), or green (hire away). Those candidates who score best, I learned, tend to exhibit a creative but not overly inquisitive personality, and participate in at least one but not more than four social networks, among many other factors. (Previous experience, one of the few criteria that Xerox had explicitly screened for in the past, turns out to have no bearing on either productivity or retention

the idea that hiring was a science fell out of favor. But now it’s coming back, thanks to new technologies and methods of analysis that are cheaper, faster, and much-wider-ranging than what we had before

Gone are the days, Ostberg told me, when, say, a small survey of college students would be used to predict the statistical validity of an evaluation tool. “We’ve got a data set of 347,000 actual employees who have gone through these different types of assessments or tools,” he told me, “and now we have performance-outcome data, and we can split those and slice and dice by industry and location.”

Evolv’s tests allow companies to capture data about everybody who applies for work, and everybody who gets hired—a complete data set from which sample bias, long a major vexation for industrial-organization psychologists, simply disappears. The sheer number of observations that this approach makes possible allows Evolv to say with precision which attributes matter more to the success of retail-sales workers (decisiveness, spatial orientation, persuasiveness) or customer-service personnel at call centers (rapport-building)

There are some data that Evolv simply won’t use, out of a concern that the information might lead to systematic bias against whole classes of people

When Xerox started using the score in its hiring decisions, the quality of its hires immediately improved. The rate of attrition fell by 20 percent in the initial pilot period, and over time, the number of promotions rose. Xerox still interviews all candidates in person before deciding to hire them, Morse told me, but, she added, “We’re getting to the point where some of our hiring managers don’t even want to interview anymore”

what most excites him are the possibilities that arise from monitoring the entire life cycle of a worker at any given company.

Mullainathan expressed amazement at how little most creative and professional workers (himself included) know about what makes them effective or ineffective in the office. Most of us can’t even say with any certainty how long we’ve spent gathering information for a given project, or our pattern of information-gathering, never mind know which parts of the pattern should be reinforced, and which jettisoned. As Mullainathan put it, we don’t know our own “production function.”

What begins with an online screening test for entry-level workers ends with the transformation of nearly every aspect of hiring, performance assessment, and management.

I turned to Sandy Pentland, the director of the Human Dynamics Laboratory at MIT. In recent years, Pentland has pioneered the use of specialized electronic “badges” that transmit data about employees’ interactions as they go about their days. The badges capture all sorts of information about formal and informal conversations: their length; the tone of voice and gestures of the people involved; how much those people talk, listen, and interrupt; the degree to which they demonstrate empathy and extroversion; and more. Each badge generates about 100 data points a minute.

he tried the badges out on about 2,500 people, in 21 different organizations, and learned a number of interesting lessons. About a third of team performance, he discovered, can usually be predicted merely by the number of face-to-face exchanges among team members. (Too many is as much of a problem as too few.) Using data gathered by the badges, he was able to predict which teams would win a business-plan contest, and which workers would (rightly) say they’d had a “productive” or “creative” day. Not only that, but he claimed that his researchers had discovered the “data signature” of natural leaders, whom he called “charismatic connectors” and all of whom, he reported, circulate actively, give their time democratically to others, engage in brief but energetic conversations, and listen at least as much as they talk.

His group is developing apps to allow team members to view their own metrics more or less in real time, so that they can see, relative to the benchmarks of highly successful employees, whether they’re getting out of their offices enough, or listening enough, or spending enough time with people outside their own team.

Torrents of data are routinely collected by American companies and now sit on corporate servers, or in the cloud, awaiting analysis. Bloomberg reportedly logs every keystroke of every employee, along with their comings and goings in the office. The Las Vegas casino Harrah’s tracks the smiles of the card dealers and waitstaff on the floor (its analytics team has quantified the impact of smiling on customer satisfaction). E‑mail, of course, presents an especially rich vein to be mined for insights about our productivity, our treatment of co-workers, our willingness to collaborate or lend a hand, our patterns of written language, and what those patterns reveal about our intelligence, social skills, and behavior.

people analytics will ultimately have a vastly larger impact on the economy than the algorithms that now trade on Wall Street or figure out which ads to show us. He reminded me that we’ve witnessed this kind of transformation before in the history of management science. Near the turn of the 20th century, both Frederick Taylor and Henry Ford famously paced the factory floor with stopwatches, to improve worker efficiency.

“The quantities of data that those earlier generations were working with,” he said, “were infinitesimal compared to what’s available now. There’s been a real sea change in the past five years, where the quantities have just grown so large—petabytes, exabytes, zetta—that you start to be able to do things you never could before.”

People analytics will unquestionably provide many workers with more options and more power. Gild, for example, helps companies find undervalued software programmers, working indirectly to raise those people’s pay. Other companies are doing similar work. One called Entelo, for instance, specializes in using algorithms to identify potentially unhappy programmers who might be receptive to a phone cal

He sees it not only as a boon to a business’s productivity and overall health but also as an important new tool that individual employees can use for self-improvement: a sort of radically expanded The 7 Habits of Highly Effective People, custom-written for each of us, or at least each type of job, in the workforce.

the most exotic development in people analytics today is the creation of algorithms to assess the potential of all workers, across all companies, all the time.

The way Gild arrives at these scores is not simple. The company’s algorithms begin by scouring the Web for any and all open-source code, and for the coders who wrote it. They evaluate the code for its simplicity, elegance, documentation, and several other factors, including the frequency with which it’s been adopted by other programmers. For code that was written for paid projects, they look at completion times and other measures of productivity. Then they look at questions and answers on social forums such as Stack Overflow, a popular destination for programmers seeking advice on challenging projects. They consider how popular a given coder’s advice is, and how widely that advice ranges.

The algorithms go further still. They assess the way coders use language on social networks from LinkedIn to Twitter; the company has determined that certain phrases and words used in association with one another can distinguish expert programmers from less skilled ones. Gild knows these phrases and words are associated with good coding because it can correlate them with its evaluation of open-source code, and with the language and online behavior of programmers in good positions at prestigious companies.

having made those correlations, Gild can then score programmers who haven’t written open-source code at all, by analyzing the host of clues embedded in their online histories. They’re not all obvious, or easy to explain. Vivienne Ming, Gild’s chief scientist, told me that one solid predictor of strong coding is an affinity for a particular Japanese manga site.

Gild’s CEO, Sheeroy Desai, told me he believes his company’s approach can be applied to any occupation characterized by large, active online communities, where people post and cite individual work, ask and answer professional questions, and get feedback on projects. Graphic design is one field that the company is now looking at, and many scientific, technical, and engineering roles might also fit the bill. Regardless of their occupation, most people leave “data exhaust” in their wake, a kind of digital aura that can reveal a lot about a potential hire.

professionally relevant personality traits can be judged effectively merely by scanning Facebook feeds and photos. LinkedIn, of course, captures an enormous amount of professional data and network information, across just about every profession. A controversial start-up called Klout has made its mission the measurement and public scoring of people’s online social influence.

Now the two companies are working together to marry pre-hire assessments to an increasing array of post-hire data: about not only performance and duration of service but also who trained the employees; who has managed them; whether they were promoted to a supervisory role, and how quickly; how they performed in that role; and why they eventually left.

Over time, better job-matching technologies are likely to begin serving people directly, helping them see more clearly which jobs might suit them and which companies could use their skills. In the future, Gild plans to let programmers see their own profiles and take skills challenges to try to improve their scores. It intends to show them its estimates of their market value, too, and to recommend coursework that might allow them to raise their scores even more. Not least, it plans to make accessible the scores of typical hires at specific companies, so that software engineers can better see the profile they’d need to land a particular job

Knack, for its part, is making some of its video games available to anyone with a smartphone, so people can get a better sense of their strengths, and of the fields in which their strengths would be most valued. (Palo Alto High School recently adopted the games to help students assess careers.) Ultimately, the company hopes to act as matchmaker between a large network of people who play its games (or have ever played its games) and a widening roster of corporate clients, each with its own specific profile for any given type of job.

When I began my reporting for this story, I was worried that people analytics, if it worked at all, would only widen the divergent arcs of our professional lives, further gilding the path of the meritocratic elite from cradle to grave, and shutting out some workers more definitively. But I now believe the opposite is likely to happen, and that we’re headed toward a labor market that’s fairer to people at every stage of their careers

For decades, as we’ve assessed people’s potential in the professional workforce, the most important piece of data—the one that launches careers or keeps them grounded—has been educational background: typically, whether and where people went to college, and how they did there. Over the past couple of generations, colleges and universities have become the gatekeepers to a prosperous life. A degree has become a signal of intelligence and conscientiousness, one that grows stronger the more selective the school and the higher a student’s GPA, that is easily understood by employers, and that, until the advent of people analytics, was probably unrivaled in its predictive powers.

the limitations of that signal—the way it degrades with age, its overall imprecision, its many inherent biases, its extraordinary cost—are obvious. “Academic environments are artificial environments,” Laszlo Bock, Google’s senior vice president of people operations, told The New York Times in June. “People who succeed there are sort of finely trained, they’re conditioned to succeed in that environment,” which is often quite different from the workplace.

because one’s college history is such a crucial signal in our labor market, perfectly able people who simply couldn’t sit still in a classroom at the age of 16, or who didn’t have their act together at 18, or who chose not to go to graduate school at 22, routinely get left behind for good. That such early factors so profoundly affect career arcs and hiring decisions made two or three decades later is, on its face, absurd.

I spoke with managers at a lot of companies who are using advanced analytics to reevaluate and reshape their hiring, and nearly all of them told me that their research is leading them toward pools of candidates who didn’t attend college—for tech jobs, for high-end sales positions, for some managerial roles. In some limited cases, this is because their analytics revealed no benefit whatsoever to hiring people with college degrees; in other cases, and more often, it’s because they revealed signals that function far better than college history,

Google, too, is hiring a growing number of nongraduates. Many of the people I talked with reported that when it comes to high-paying and fast-track jobs, they’re reducing their preference for Ivy Leaguers and graduates of other highly selective schools.

This process is just beginning. Online courses are proliferating, and so are online markets that involve crowd-sourcing. Both arenas offer new opportunities for workers to build skills and showcase competence. Neither produces the kind of instantly recognizable signals of potential that a degree from a selective college, or a first job at a prestigious firm, might. That’s a problem for traditional hiring managers, because sifting through lots of small signals is so difficult and time-consuming.

all of these new developments raise philosophical questions. As professional performance becomes easier to measure and see, will we become slaves to our own status and potential, ever-focused on the metrics that tell us how and whether we are measuring up? Will too much knowledge about our limitations hinder achievement and stifle our dreams? All I can offer in response to these questions, ironically, is my own gut sense, which leads me to feel cautiously optimistic.

Google’s understanding of the promise of analytics is probably better than anybody else’s, and the company has been changing its hiring and management practices as a result of its ongoing analyses. (Brainteasers are no longer used in interviews, because they do not correlate with job success; GPA is not considered for anyone more than two years out of school, for the same reason—the list goes on.) But for all of Google’s technological enthusiasm, these same practices are still deeply human. A real, live person looks at every résumé the company receives. Hiring decisions are made by committee and are based in no small part on opinions formed during structured interviews.

that not only the cerebral cortex, but the entire auditory pathway, represents sounds according to prior expectations.

Although participants recognised the deviant faster when it was placed on positions where they expected it, the subcortical nuclei encoded the sounds only when they were placed in unexpected positions.

Predictive coding assumes that the brain is constantly generating predictions about how the physical world will look, sound, feel, and smell like in the next instant, and that neurons in charge of processing our senses save resources by representing only the differences between these predictions and the actual physical world.

e have now shown that this process also dominates the most primitive and evolutionary conserved parts of the brain. All that we perceive might be deeply contaminated by our subjective beliefs on the physical world."

Developmental dyslexia, the most wide-spread learning disorder, has already been linked to altered responses in subcortical auditory pathway and to difficulties on exploiting stimulus regularities in auditory perception.

SEIR models start to fall apart when you think about the underlying causes of the data. You need models that can allow for all possible states, and assess which ones matter for shaping the pandemic’s trajectory over time.

These techniques have enjoyed enormous success ever since they moved out of physics. They’ve been running your iPhone and nuclear power stations for a long time. In my field, neurobiology, we call the approach dynamic causal modelling (DCM). We can’t see brain states directly, but we can infer them given brain imaging data

Epidemiologists currently tackle the inference problem by number-crunching on a huge scale, making use of high-performance computers. Imagine you want to simulate an outbreak in Scotland. Using conventional approaches, this would take you a day or longer with today’s computing resources. And that’s just to simulate one model or hypothesis – one set of parameters and one set of starting conditions.

Using DCM, you can do the same thing in a minute. That allows you to score different hypotheses quickly and easily, and so to home in sooner on the best one.

This is like dark matter in the universe: we can’t see it, but we know it must be there to account for what we can see. Knowing it exists is useful for our preparations for any second wave, because it suggests that targeted testing of those at high risk of exposure to Covid-19 might be a better approach than non-selective testing of the whole population.

Our response as individuals – and as a society – becomes part of the epidemiological process, part of one big self-organising, self-monitoring system. That means it is possible to predict not only numbers of cases and deaths in the future, but also societal and institutional responses – and to attach precise dates to those predictions.

How well have your predictions been borne out in this first wave of infections?For London, we predicted that hospital admissions would peak on 5 April, deaths would peak five days later, and critical care unit occupancy would not exceed capacity – meaning the Nightingale hospitals would not be required. We also predicted that improvements would be seen in the capital by 8 May that might allow social distancing measures to be relaxed – which they were in the prime minister’s announcement on 10 May. To date our predictions have been accurate to within a day or two, so there is a predictive validity to our models that the conventional ones lack.

What do your models say about the risk of a second wave?The models support the idea that what happens in the next few weeks is not going to have a great impact in terms of triggering a rebound – because the population is protected to some extent by immunity acquired during the first wave. The real worry is that a second wave could erupt some months down the line when that immunity wears off.

the important message is that we have a window of opportunity now, to get test-and-trace protocols in place ahead of that putative second wave. If these are implemented coherently, we could potentially defer that wave beyond a time horizon where treatments or a vaccine become available, in a way that we weren’t able to before the first one.

We’ve been comparing the UK and Germany to try to explain the comparatively low fatality rates in Germany. The answers are sometimes counterintuitive. For example, it looks as if the low German fatality rate is not due to their superior testing capacity, but rather to the fact that the average German is less likely to get infected and die than the average Brit. Why? There are various possible explanations, but one that looks increasingly likely is that Germany has more immunological “dark matter” – people who are impervious to infection, perhaps because they are geographically isolated or have some kind of natural resistance

Any other advantages?Yes. With conventional SEIR models, interventions and surveillance are something you add to the model – tweaks or perturbations – so that you can see their effect on morbidity and mortality. But with a generative model these things are built into the model itself, along with everything else that matters.

Are generative models the future of disease modelling?That’s a question for the epidemiologists – they’re the experts. But I would be very surprised if at least some part of the epidemiological community didn’t become more committed to this approach in future, given the impact that Feynman’s ideas have had in so many other disciplines.

, we know from the science of linguistics and the philosophy of knowledge that they differ profoundly from how humans reason and use language. These differences place significant limitations on what these programs can do, encoding them with ineradicable defects.

It is at once comic and tragic, as Borges might have noted, that so much money and attention should be concentrated on so little a thing — something so trivial when contrasted with the human mind, which by dint of language, in the words of Wilhelm von Humboldt, can make “infinite use of finite means,” creating ideas and theories with universal reach.

The human mind is not, like ChatGPT and its ilk, a lumbering statistical engine for pattern matching, gorging on hundreds of terabytes of data and extrapolating the most likely conversational response or most probable answer to a scientific question

the human mind is a surprisingly efficient and even elegant system that operates with small amounts of information; it seeks not to infer brute correlations among data points but to create explanations

such programs are stuck in a prehuman or nonhuman phase of cognitive evolution. Their deepest flaw is the absence of the most critical capacity of any intelligence: to say not only what is the case, what was the case and what will be the case — that’s description and prediction — but also what is not the case and what could and could not be the case

Those are the ingredients of explanation, the mark of true intelligence.

Here’s an example. Suppose you are holding an apple in your hand. Now you let the apple go. You observe the result and say, “The apple falls.” That is a description. A prediction might have been the statement “The apple will fall if I open my hand.”

an explanation is something more: It includes not only descriptions and predictions but also counterfactual conjectures like “Any such object would fall,” plus the additional clause “because of the force of gravity” or “because of the curvature of space-time” or whatever. That is a causal explanation: “The apple would not have fallen but for the force of gravity.” That is thinking.

The crux of machine learning is description and prediction; it does not posit any causal mechanisms or physical laws

any human-style explanation is not necessarily correct; we are fallible. But this is part of what it means to think: To be right, it must be possible to be wrong. Intelligence consists not only of creative conjectures but also of creative criticism. Human-style thought is based on possible explanations and error correction, a process that gradually limits what possibilities can be rationally considered.

ChatGPT and similar programs are, by design, unlimited in what they can “learn” (which is to say, memorize); they are incapable of distinguishing the possible from the impossible.

Whereas humans are limited in the kinds of explanations we can rationally conjecture, machine learning systems can learn both that the earth is flat and that the earth is round. They trade merely in probabilities that change over time.

For this reason, the predictions of machine learning systems will always be superficial and dubious.

some machine learning enthusiasts seem to be proud that their creations can generate correct “scientific” predictions (say, about the motion of physical bodies) without making use of explanations (involving, say, Newton’s laws of motion and universal gravitation). But this kind of prediction, even when successful, is pseudoscienc

While scientists certainly seek theories that have a high degree of empirical corroboration, as the philosopher Karl Popper noted, “we do not seek highly probable theories but explanations; that is to say, powerful and highly improbable theories.”

The theory that apples fall to earth because mass bends space-time (Einstein’s view) is highly improbable, but it actually tells you why they fall. True intelligence is demonstrated in the ability to think and express improbable but insightful things.

This means constraining the otherwise limitless creativity of our minds with a set of ethical principles that determines what ought and ought not to be (and of course subjecting those principles themselves to creative criticism)

True intelligence is also capable of moral thinking

To be useful, ChatGPT must be empowered to generate novel-looking output; to be acceptable to most of its users, it must steer clear of morally objectionable content

In 2016, for example, Microsoft’s Tay chatbot (a precursor to ChatGPT) flooded the internet with misogynistic and racist content, having been polluted by online trolls who filled it with offensive training data. How to solve the problem in the future? In the absence of a capacity to reason from moral principles, ChatGPT was crudely restricted by its programmers from contributing anything novel to controversial — that is, important — discussions. It sacrificed creativity for a kind of amorality.

Here, ChatGPT exhibits something like the banality of evil: plagiarism and apathy and obviation. It summarizes the standard arguments in the literature by a kind of super-autocomplete, refuses to take a stand on anything, pleads not merely ignorance but lack of intelligence and ultimately offers a “just following orders” defense, shifting responsibility to its creators.

In short, ChatGPT and its brethren are constitutionally unable to balance creativity with constraint. They either overgenerate (producing both truths and falsehoods, endorsing ethical and unethical decisions alike) or undergenerate (exhibiting noncommitment to any decisions and indifference to consequences). Given the amorality, faux science and linguistic incompetence of these systems, we can only laugh or cry at their popularity.

He tries to break free of narrow specialization and cross the boundaries between scientific disciplines. Expeditions beyond economics’ borders and its connection to history, philosophy, psychology, and ancient myths are not only refreshing, but necessary for understanding the world of the twenty-first century.

Reality is spun from stories, not from material. Zdeněk Neubauer

Before it was emancipated as a field, economics lived happily within subsets of philosophy—ethics, for example—miles away from today’s concept of economics as a mathematical-allocative science that views “soft sciences” with a scorn born from positivistic arrogance. But our thousand-year “education” is built on a deeper, broader, and oftentimes more solid base. It is worth knowing about.

The study of the history of a certain field is not, as is commonly held, a useless display of its blind alleys or a collection of the field’s trials and errors (until we got it right), but history is the fullest possible scope of study of a menu that the given field can offer.

History of thought helps us to get rid of the intellectual brainwashing of the age, to see through the intellectual fashion of the day, and to take a couple of steps back.

“The separation between the history of a science, its philosophy, and the science itself dissolves into thin air, and so does the separation between science and non-science; differences between the scientific and unscientific are vanishing.”

we seek to chart the development of the economic ethos. We ask questions that come before any economic thinking can begin—both philosophically and, to a degree, historically. The area here lies at the very borders of economics—and often beyond. We may refer to this as protoeconomics (to borrow a term from protosociology) or, perhaps more fittingly, metaeconomics (to borrow a term from metaphysics).

stories; Adam Smith believed. As he puts it in The Theory of Moral Sentiments, “the desire of being believed, or the desire of persuading, of leading and directing other people, seems to be one of the strongest of all our natural desires.”

“The human mind is built to think in terms of narratives … in turn, much of human motivation comes from living through a story of our lives, a story that we tell to ourselves and that creates a framework of our motivation. Life could be just ‘one damn thing after another’ if it weren’t for such stories. The same is true for confidence in a nation, a company, or an institution. Great leaders are foremost creators of stories.”

contrary to what our textbooks say, economics is predominantly a normative field. Economics not only describes the world but is frequently about how the world should be (it should be effective, we have an ideal of perfect competition, an ideal of high-GDP growth in low inflation, the effort to achieve high competitiveness …). To this end, we create models, modern parables,

I will try to show that mathematics, models, equations, and statistics are just the tip of the iceberg of economics; that the biggest part of the iceberg of economic knowledge consists of everything else; and that disputes in economics are rather a battle of stories and various metanarratives than anything else.

That is the reason for this book: to look for economic thought in ancient myths and, vice versa, to look for myths in today’s economics.

is a paradox that a field that primarily studies values wants to be value-free. One more paradox is this: A field that believes in the invisible hand of the market wants to be without mysteries.

The History of Animal Spirits: Dreams Never Sleep

The more important elements of a culture or field of inquiry such as economics are found in fundamental assumptions that adherents of all the various systems within the epoch unconsciously presuppose. Such assumptions appear so obvious that people do not know what they are assuming, because no other way of putting things has ever occurred to them, as the philosopher Alfred Whitehead notes in Adventures of Ideas.

I argue that economic questions were with mankind long before Adam Smith. I argue that the search for values in economics did not start with Adam Smith but culminated with him.

We should go beyond economics and study what beliefs are “behind the scenes,” ideas that have often become the dominant yet unspoken assumptions in our theories. Economics is surprisingly full of tautologies that economists are predominantly unaware of. I

argue that economics should seek, discover, and talk about its own values, although we have been taught that economics is a value-free science. I argue that none of this is true and that there is more religion, myth, and archetype in economics than there is mathematics.

In a way, this is a study of the evolution of both homo economicus and, more importantly, the history of the animal spirits within him. This book tries to study the evolution of the rational as well as the emotional and irrational side of human beings.

I argue that his most influential contribution to economics was ethical. His other thoughts had been clearly expressed long before him, whether on specialization, or on the principle of the invisible hand of the market. I try to show that the principle of the invisible hand of the market is much more ancient and developed long before Adam Smith. Traces of it appear even in the Epic of Gilgamesh, Hebrew thought, and in Christianity, and it is expressly stated by Aristophanes and Thomas Aquinas.

This is not a book on the thorough history of economic thought. The author aims instead to supplement certain chapters on the history of economic thought with a broader perspective and analysis of the influences that often escape the notice of economists and the wider public.

Progress (Naturalness and Civilization)

The Economy of Good and Evil

from his beginnings, man has been marked as a naturally unnatural creature, who for unique reasons surrounds himself with external possessions. Insatiability, both material and spiritual, are basic human metacharacteristics, which appear as early as the oldest myths and stories.

the Hebrews, with linear time, and later the Christians gave us the ideal (or amplified the Hebrew ideal) we now embrace. Then the classical economists secularized progress. How did we come to today’s progression of progress, and growth for growth’s sake?

The Need for Greed: The History of Consumption and Labor

Metamathematics From where did economics get the concept of numbers as the very foundation of the world?

mathematics at the core of economics, or is it just the icing of the cake, the tip of the iceberg of our field’s inquiry?

idea that we can manage to utilize our natural egoism, and that this evil is good for something, is an ancient philosophical and mythical concept. We will also look into the development of the ethos of homo economicus, the birth of “economic man.”

All of economics is, in the end, economics of good and evil. It is the telling of stories by people of people to people. Even the most sophisticated mathematical model is, de facto, a story, a parable, our effort to (rationally) grasp the world around us.

Masters of the Truth

Originally, truth was a domain of poems and stories, but today we perceive truth as something much more scientific, mathematical. Where does one go (to shop) for the truth? And who “has the truth” in our epoch?

Our animal spirits (something of a counterpart to rationality) are influenced by the archetype of the hero and our concept of what is good.

The entire history of ethics has been ruled by an effort to create a formula for the ethical rules of behavior. In the final chapter we will show the tautology of Max Utility, and we will discuss the concept of Max Good.

The History of the Invisible Hand of the Market and Homo Economicus

We understand “economics” to mean a broader field than just the production, distribution, and consumption of goods and services. We consider economics to be the study of human relations that are sometimes expressible in numbers, a study that deals with tradables, but one that also deals with nontradables (friendship, freedom, efficiency, growth).

When we mention economics in this book, we mean the mainstream perception of it, perhaps as best represented by Paul Samuelson.

By the term homo economicus, we mean the primary concept of economic anthropology. It comes from the concept of a rational individual, who, led by narrowly egotistical motives, sets out to maximize his benefit.

the Epic of Gilgamesh bears witness to the opposite—despite the fact that the first written clay fragments (such as notes and bookkeeping) of our ancestors may have been about business and war, the first written story is mainly about great friendship and adventure.

is a story of nature and civilization, of heroism, defiance, and the battle against the gods, and evil; an epic about wisdom, immortality, and also futility.

Even today we live in Gilgamesh’s vision that human relations—and therefore humanity itself—are a disturbance to work and efficiency; that people would perform better if they did not “waste” their time and energy on nonproductive things.

But it is in friendship where—often by-the-way, as a side product, an externality—ideas and deeds are frequently performed or created that together can altogether change the face of society.19 Friendship can go against an ingrained system in places where an individual does not have the courage to do so himself or herself.

started with Babylonians—rural nature becomes just a supplier of raw materials, resources (and humans the source of human resources). Nature is not the garden in which humans were created and placed, which they should care for and which they should reside in, but becomes a mere reservoir for natural (re)sources.

To be human seems to be somewhere in between, or both of these two. We

The entire history of culture is dominated by an effort to become as independent as possible from the whims of nature.39 The more developed a civilization is, the more an individual is protected from nature and natural influences and knows how to create around him a constant or controllable environment to his liking.

The epic captures one of the greatest leaps in the development of the division of labor. Uruk itself is one of the oldest cities of all, and in the epic it reflects a historic step forward in specialization—in the direction of a new social city arrangement. Because of the city wall, people in the city can devote themselves to things other than worrying about their own safety, and they can continue to specialize more deeply.

“The chief thing which the common-sense individual wants is not satisfactions for the wants he had, but more, and better wants.”47

If a consumer buys something, theoretically it should rid him of one of his needs—and the aggregate of things they need should be decreased by one item. In reality, though, the aggregate of “I want to have” expands together with the growing aggregate of “I have.”

the Old Testament, this relationship is perceived completely differently. Man (humanity) is created in nature, in a garden. Man was supposed to care for the Garden of Eden and live in harmony with nature and the animals. Soon after creation, man walks naked and is not ashamed, de facto the same as the animals. What is characteristic is that man dresses (the natural state of creation itself is not enough for him), and he (literally and figuratively) covers52 himself—in shame after the fall.53

Nature is where one goes to hunt, collect crops, or gather the harvest. It is perceived as the saturator of our needs and nothing more. One goes back to the city to sleep and be “human.” On the contrary, evil resides in nature. Humbaba lives in the cedar forest, which also happens to be the reason to completely eradicate it.

Symbolically, then, we can view the entire issue from the standpoint of the epic in the following way: Our nature is insufficient, bad, evil, and good (humane) occurs only after emancipation from nature (from naturalness), through culturing and education. Humanity is considered as being in civilization.

The city was frequently (at least in older Jewish writings) a symbol of sin, degeneration, and decadence—nonhumanity. The Hebrews were originally a nomadic nation, one that avoided cities. It is no accident that the first important city57 mentioned in the Bible is proud Babylon,58 which God later turns to dust.

is enough, for example, to read the Book of Revelation to see how the vision of paradise developed from the deep Old Testament period, when paradise was a garden. John describes his vision of heaven as a city—paradise is in New Jerusalem, a city where the dimensions of the walls(!) are described in detail, as are the golden streets and gates of pearl.

Hebrews later also chose a king (despite the unanimous opposition of God’s prophets) and settled in cities, where they eventually founded the Lord’s Tabernacle and built a temple for Him. The city of Jerusalem later gained an illustrious position in all of religion.

this time Christianity (as well as the influence of the Greeks) does not consider human naturalness to be an unambiguous good, and it does not have such an idyllic relationship to nature as the Old Testament prophets.

If a tendency toward good is not naturally endowed in people, it must be imputed from above through violence or at least the threat of violence.

If we were to look at human naturalness as a good, then collective social actions need a much weaker ruling hand. If people themselves have a natural tendency (propensity) toward good, this role does not have to be supplied by the state, ruler, or, if you wish, Leviathan.

How does this affect economics?

us return for the last time to the humanization of the wild Enkidu, which is a process we can perceive with a bit of imagination as the first seed of the principle of the market’s invisible hand, and therefore the parallels with one of the central schematics of economic thinking.

Sometimes it is better to “harness the devil to the plow” than to fight with him. Instead of summoning up enormous energy in the fight against evil, it is better to use its own energy to reach a goal we desire; setting up a mill on the turbulent river instead of futile efforts to remove the current. This is also how Saint Prokop approached it in one of the oldest Czech legends.

Enkidu caused damage and it was impossible to fight against him. But with the help of a trap, trick, this evil was transformed into something that greatly benefited civilization.

By culturing and “domesticating” Enkidu, humanity tamed the uncontrollable wild and chaotic evil

Enkidu devastated the doings (the external, outside-the-walls) of the city. But he was later harnessed and fights at the side of civilization against nature, naturalness, the natural state of things.

A similar story (reforming something animally wild and uncultivated in civilizational achievement) is used by Thomas Aquinas in his teachings. Several centuries later, this idea is fully emancipated in the hands of Bernard Mandeville and his Fable of the Bees: or, Private Vices, Publick Benefits. The economic and political aspects of this idea are—often incorrectly—ascribed to Adam Smith.

Here the individual does not try anymore to maximize his goods or profits, but what is important is writing his name in human memory in the form of heroic acts or deeds.

immortality, one connected with letters and the cult of the word: A name and especially a written name survives the body.”77

After this disappointment, he comes to the edge of the sea, where the innkeeper Siduri lives. As tonic for his sorrow, she offers him the garden of bliss, a sort of hedonistic fortress of carpe diem, where a person comes to terms with his mortality and at least in the course of the end of his life maximizes earthly pleasures, or earthly utility.

In the second stage, after finding his friend Enkidu, Gilgamesh abandons the wall and sets out beyond the city to maximalize heroism. “In his (…) search of immortal life, Gilgamesh

The hero refuses hedonism in the sense of maximizing terrestrial pleasure and throws himself into things that will exceed his life. In the blink of an eye, the epic turns on its head the entire utility maximization role that mainstream economics has tirelessly tried to sew on people as a part of their nature.81

today remember Gilgamesh for his story of heroic friendship with Enkidu, not for his wall, which no longer reaches monumental heights.

the eleventh and final tablet, Gilgamesh again loses what he sought. Like Sisyphus, he misses his goal just before the climax

The very existence of questions similar to today’s economic ones can be considered as the first observation. The first written considerations of the people of that time were not so different from those today. In other words: The epic is understandable for us, and we can identify with it.

We have also been witnesses to the very beginnings of man’s culturing—a great drama based on a liberation and then a distancing from the natural state.

Let us take this as a memento in the direction of our restlessness, our inherited dissatisfaction and the volatility connected to it. Considering that they have lasted five thousand years and to this day we find ourselves in harmony with a certain feeling of futility, perhaps these characteristics are inherent in man.

with the phenomenon of the creation of the city, we have seen how specialization and the accumulation of wealth was born, how holy nature was transformed into a secular supplier of resources, and also how humans’ individualistic ego was emancipated.

For small acts (hunting together, work in a factory), small love is enough: Camaraderie. For great acts, however, great love is necessary, real love: Friendship. Friendship that eludes the economic understanding of quid pro quo. Friendship gives. One friend gives (fully) for the other. That is friendship for life and death,

less a civilized, city person is dependent on nature, the more he or she is dependent on the rest of society. Like Enkidu, we have exchanged nature for society; harmony with (incalculable) nature for harmony with (incalculable) man.

human nature good or evil? To this day these questions are key for economic policy: If we believe that man is evil in his nature, therefore that a person himself is dog eat dog (animal), then the hard hand of a ruler is called for. If we believe that people in and of themselves, in their nature, gravitate toward good, then it is possible to loosen up the reins and live in a society that is more laissez-faire.

For a concept of historical progress, for the undeification of heroes, rulers, and nature, mankind had to wait for the Hebrews.

Because nature is not undeified, it is beyond consideration to explore it, let alone intervene in it (unless a person was a two-thirds god like Gilgamesh). It

As early as the “dark” ages, the Jews commonly used economic tools that were in many ways ahead of their time and that later became key elements of the modern economy:

Gilgamesh’s story ends where it began. There is a consistency in this with Greek myths and fables: At the end of the story, no progress occurs, no essential historic change; the story is set in indefinite time, something of a temporal limbo.

For a nation originally based on nomadism, where did this Jewish business ethos come from? And can the Hebrews truly be considered as the architects of the values that set the direction of our civilization’s economic thought?

PROGRESS: A SECULARIZED RELIGION One of the things the writers of the Old Testament gave to mankind is the idea and notion of progress. The Old Testament stories have their development; they change the history of the Jewish nation and tie in to each other. The Jewish understanding of time is linear—it has a beginning and an end.

The observance of God’s Commandments in Judaism leads not to some ethereal other world, but to an abundance of material goods (Genesis 49:25–26, Leviticus 26:3–13, Deuteronomy 28:1–13) (…) There are no accusing fingers pointed at

There are no echoes of asceticism nor for the cleansing and spiritual effect of poverty. It is fitting therefore, that the founders of Judaism, the Patriarchs Abraham, Isaac and Jacob, were all wealthy men.12

about due to a linear understanding of history. If history has a beginning as well as an end, and they are not the same point, then exploration suddenly makes sense in areas where the fruits are borne only in the next generation.

however, the idea of progress itself underwent major changes, and today we perceive it very differently. As opposed to the original spiritual conceptions, today we perceive progress almost exclusively in an economic or scientific-technological sense.

Because care for the soul has today been replaced by care for external things,

This is why we must constantly grow, because we (deep down and often implicitly) believe that we are headed toward an (economic) paradise on Earth.

Only since the period of scientific-technological revolution (and at a time when economics was born as an independent field) is material progress automatically assumed.

Jewish thought is the most grounded, most realistic school of thought of all those that have influenced our culture.17 An abstract world of ideas was unknown to the Jews. To this day it is still forbidden to even depict God, people, and animals in symbols, paintings, statues, and drawings.

economists have become key figures of great importance in our time (Kacířské eseje o filosofii dějin [Heretical Essays in the Philosophy of History]). They are expected to perform interpretations of reality, give prophetic services (macroeconomic forecasts), reshape reality (mitigate the impacts of the crisis, speed up growth), and, in the long run, provide leadership on the way to the Promised Land—paradise on Earth.

REALISM AND ANTIASCETICISM Aside from ideas of progress, the Hebrews brought another very fundamental contribution to our culture: The desacralization of heroes, nature, and rulers.

Voltaire writes: “It certain fact is, that in his public laws he [Moses] never so much as once made mention of a life to come, limiting all punishments and all rewards to the present life.”21

As opposed to Christianity, the concept of an extraterrestrial paradise or heaven was not developed much in Hebrew thought.19 The paradise of the Israelites—Eden—was originally placed on Earth at a given place in Mesopotamia20 and at a given time,

The Hebrews consider the world to be real—not just a shadow reflection of a better world somewhere in the cloud of ideas, something the usual interpretation of history ascribes to Plato. The soul does not struggle against the body and is not its prisoner, as Augustine would write later.

The land, the world, the body, and material reality are for Jews the paramount setting for divine history, the pinnacle of creation. This idea is the conditio sine qua non of the development of economics, something of an utterly earthly making,

The mythology of the hero-king was strongly developed in that period, which Claire Lalouette summarizes into these basic characteristics: Beauty (a perfect face, on which it is “pleasant to look upon,” but also “beauty,” expressed in the Egyptian word nefer, not only means aesthetics, but contains moral qualities as well),

THE HERO AND HIS UNDEIFICATION: THE DREAM NEVER SLEEPS The concept of the hero is more important than it might appear. It may be the remote origin of Keynes’s animal spirits, or the desire to follow a kind of internal archetype that a given individual accepts as his own and that society values.

This internal animator of ours, our internal mover, this dream, never sleeps and it influences our behavior—including economic behavior—more than we want to realize.

Anthropology knows several archetypes of heroes. The Polish-born American anthropologist Paul Radin examined the myths of North American Indians and, for example, in his most influential book, The Trickster, he describes their four basic archetypes of heroes.

The Torah’s heroes (if that term can be used at all) frequently make mistakes and their mistakes are carefully recorded in the Bible—maybe precisely so that none of them could be deified.32

the Hebrew heroes correspond most to the Tricksters, the Culture Bearers, and the Twins. The divine muscleman, that dominant symbol we think of when we say hero, is absent here.

Undeification, however, does not mean a call to pillage or desecration; man was put here to take care of nature (see the story of the Garden of Eden or the symbolism of the naming of the animals). This protection and care of nature is also related to the idea of progress

For the heroes who moved our civilization to where it is today, the heroic archetypes of the cunning trickster, culture bearer, and sufferer are rather more appropriate.

the Old Testament strongly emphasizes the undeification of nature.37 Nature is God’s creation, which speaks of divinity but is not the domain of moody gods

in an Old Testament context, the pharaoh was a mere man (whom one could disagree with, and who could be resisted!).

RULERS ARE MERE MEN In a similar historical context, the Old Testament teachings carried out a similar desacralization of rulers, the so-called bearers of economic policy.

Ultimately the entire idea of a political ruler stood against the Lord’s will, which is explicitly presented in the Torah. The Lord unequivocally preferred the judge as the highest form of rule—an

The needs of future generations will have to be considered; after all humankind are the guardians of God’s world. Waste of natural resources, whether privately owned or nationally owned is forbidden.”39

Politics lost its character of divine infallibility, and political issues were subject to questioning. Economic policy could become a subject of examination.

44 God first creates with the word and then on individual days He divides light from darkness, water from dry land, day from night, and so forth—and He gives order to things.45 The world is created orderly— it is wisely, reasonably put together. The way of the world is put together at least partially46 decipherably by any other wise and reasonable being who honors rational rules.

THE PRAISE OF ORDER AND WISDOM: MAN AS A PERFECTER OF CREATION The created world has an order of sorts, an order recognizable by us as people,

From the very beginning, when God distances Himself from the entire idea, there is an anticipation that there is nothing holy, let alone divine, in politics. Rulers make mistakes, and it is possible to subject them to tough criticism—which frequently occurs indiscriminately through the prophets in the Old Testament.

Hebrew culture laid the foundations for the scientific examination of the world.

Examining the world is therefore an absolutely legitimate activity, and one that is even requested by God—it is a kind of participation in the Creator’s work.51 Man is called on to understand himself and his surroundings and to use his knowledge for good.

The Book of Proverbs emphasizes specifically several times that it was wisdom that was present at the creation of the world. Wisdom personified calls out:

The last act, final stroke of the brush of creation, naming of the animals—this act is given to a human, it is not done by God, as one would expect. Man was given the task of completing the act of creation that the Lord began:

MAN AS A FINISHER OF CREATION The creation of the world, as it is explained in Jewish teachings, is described in the Book of Genesis. Here God (i) creates, (ii) separates, and (iii) names [my emphasis]:

Naming is a symbolic expression. In Jewish culture (and also in our culture to this day), the right to name meant sovereign rights and belonged, for example, to explorers (new places), inventors (new principles), or parents (children)—that is, to those who were there at the genesis, at the origin. This right was handed over by God to mankind.

The Naming itself (the capital N is appropriate) traditionally belongs to the crowning act of the Creator and represents a kind of grand finale of creation, the last move of the brush to complete the picture—a signature of the master.

Without naming, reality does not exist; it is created together with language. Wittgenstein tightly names this in his tractatus—the limits of our language are the limits of our world.53

Reality is not a given; it is not passive. Perceiving reality and “facts” requires man’s active participation. It is man who must take the last step, an act (and we

A real-ization act on our part represents the creation of a construct, the imputation of sense and order (which is beautifully expressed by the biblical act of naming, or categorization, sorting, ordering).

God connects man with the task of guarding and protecting the Garden of Eden, and thus man actually cocreates the cultural landscape. The Czech philosopher Zdeněk Neubauer also describes this: “Such is reality, and it is so deep that it willingly crystallizes into worlds. Therefore I profess that reality is a creation and not a place of occurrence for objectively given phenomena.”61

The Jews believed the exact opposite. The world is created by a good God, and evil appears in it as a result of immoral human acts. Evil, therefore, is induced by man.66 History unwinds according to the morality of human acts.

GOOD AND EVIL IN US: A MORAL EXPLANATION OF WELL-BEING We have seen that in the Epic of Gilgamesh, good and evil are not yet addressed systematically on a moral level.

the epic, good and evil are not envisaged morally—they are not the result of an (a)moral act. Evil was not associated with free moral action or individual will.

Hebrew thought, on the other hand, deals intensively with moral good and evil. A moral dimension touches the core of its stories.65

discrepancy between savings and investment, and others are convinced of the monetary essence

The entire history of the Jewish nation is interpreted and perceived in terms of morality. Morality has become, so to speak, a mover and shaker of Hebrew history.

sunspots. The Hebrews came up with the idea that morals were behind good and bad years, behind the economic cycle. But we would be getting ahead of ourselves. Pharaoh’s Dream: Joseph and the First Business Cycle To

It is the Pharaoh’s well-known dream of seven fat and seven lean cows, which he told to Joseph, the son of Jacob. Joseph interpreted the dream as a macroeconomic prediction of sorts: Seven years of abundance were to be followed by seven years of poverty, famine, and misery.

Self-Contradicting Prophecy Here, let’s make several observations on this: Through taxation74 on the level of one-fifth of a crop75 in good years to save the crop and then open granaries in bad years, the prophecy was de facto prevented (prosperous years were limited and hunger averted—through a predecessor of fiscal stabilization).

The Old Testament prophesies therefore were not any deterministic look into the future, but warnings and strategic variations of the possible, which demanded some kind of reaction. If the reaction was adequate, what was prophesied would frequently not occur at all.

If the threat is anticipated, it is possible to totally or at least partially avoid it. Neither Joseph nor the pharaoh had the power to avoid bounty or crop failure (in this the dream interpretation was true and the appearance of the future mystical), but they avoided the impacts and implications of the prophecy (in this the interpretation of the dream was “false”)—famine did not ultimately occur in Egypt, and this was due to the application of reasonable and very intuitive economic policy.

Let us further note that the first “macroeconomic forecast” appears in a dream.

back to Torah: Later in this story we will notice that there is no reason offered as to why the cycle occurs (that will come later). Fat years will simply come, and then lean years after them.

Moral Explanation of a Business Cycle That is fundamentally different from later Hebrew interpretations, when the Jewish nation tries to offer reasons why the nation fared well or poorly. And those reasons are moral.

Only in recent times have some currents of economics again become aware of the importance of morals and trust in the form of measuring the quality of institutions, the level of justice, business ethics, corruption, and so forth, and examining their influence on the economy,

it is not within the scope of this book to answer that question; justice has been done to the question if it manages to sketch out the main contours of possible searches for answers.

THE ECONOMICS OF GOOD AND EVIL: DOES GOOD PAY OFF? This is probably the most difficult moral problem we could ask.

Inquiring about the economics of good and evil, however, is not that easy. Where would Kant’s “moral dimension of ethics” go if ethics paid? If we do good for profit, the question of ethics becomes a mere question of rationality.

He remains righteous, even if his only reward is death. What economic advantage could he have from that?

morals cannot be considered in the economic dimension of productivity and calculus. The role of the Hebrews was to do good, whether it paid off or not. If good (outgoing) is rewarded by incoming goodness, it is a bonus,99 not a reason to do outgoing good. Good and reward do not correlate to each other.

This reasoning takes on a dimension of its own in the Old Testament. Good (incoming) has already happened to us. We must do good (outgoing) out of gratitude for the good (incoming) shown to us in the past.

So why do good? After all, suffering is the fate of many biblical figures. The answer can only be: For good itself. Good has the power to be its own reward. In this sense, goodness gets its reward, which may or may not take on a material dimension.

the Hebrews offered an interesting compromise between the teachings of the Stoics and Epicureans. We will go into it in detail later, so only briefly

constraint. It calls for bounded optimalization (with limits). A kind of symbiosis existed between the legitimate search for one’s own utility (or enjoyment of life) and maintaining rules, which are not negotiable and which are not subject to optimalization.

In other words, clear (exogenously given) rules exist that must be observed and cannot be contravened. But within these borders it is absolutely possible, and even recommended, to increase utility.

To Love the Law The Jews not only had to observe the law (perhaps the word covenant would be more appropriate), but they were to love it because it was good.

the principle of doing good (outgoing) on the basis of a priori demonstrated good (incoming) was also taken over by the New Testament. Atonement itself is based on an a priori principle; all our acts are preceded by good.

THE SHACKLES OF THE CITY Owing to the Hebrew’s liberation from Egyptian slavery, freedom and responsibility become the key values of Jewish thought.

Laws given by God are binding for Jews, and God is the absolute source of all values,

The Hebrew ideal is represented by the paradise of the Garden of Eden, not a city.116 The despised city civilization or the tendency to see in it a sinful and shackling way of life appears in glimpses and allusions in many places in the Old Testament.

The nomadic Jewish ethos is frequently derived from Abraham, who left the Chaldean city of Ur on the basis of a command:

This way of life had understandably immense economic impacts. First, such a society lived in much more connected relationships, where there was no doubt that everyone mutually depended on each other. Second, their frequent wanderings meant the inability to own more than they could carry; the gathering up of material assets did not have great weight—precisely because the physical weight (mass) of things was tied to one place.

One of Moses’s greatest deeds was that he managed to explain to his nation once and for all that it is better to remain hungry and liberated than to be a slave with food “at no cost.”

SOCIAL WELFARE: NOT TO ACT IN THE MANNER OF SODOM

regulations is developed in the Old Testament, one we hardly find in any other nation of the time. In Hebrew teachings, aside from individual utility, indications of the concept of maximalizing utility societywide appear for the first time as embodied in the Talmudic principle of Kofin al midat S´dom, which can be translated as “one is compelled not to act in the manner of Sodom” and to take care of the weaker members of society.

In a jubilee year, debts were to be forgiven,125 and Israelites who fell into slavery due to their indebtedness were to be set free.126

Land at the time could be “sold,” and it was not sale, but rent. The price (rent) of real estate depended on how long there was until a forgiveness year. It was about the awareness that we may work the land, but in the last instance we are merely “aliens and strangers,” who have the land only rented to us for a fixed time. All land and riches came from the Lord.

These provisions express a conviction that freedom and inheritance should not be permanently taken away from any Israelite. Last but not least, this system reminds us that no ownership lasts forever and that the fields we plow are not ours but the Lord’s.

Glean Another social provision was the right to glean, which in Old Testament times ensured at least basic sustenance for the poorest. Anyone who owned a field had the responsibility not to harvest it to the last grain but to leave the remains in the field for the poor.

Tithes and Early Social Net Every Israelite also had the responsibility of levying a tithe from their entire crop. They had to be aware from whom all ownership comes and, by doing so, express their thanks.

“Since the community has an obligation to provide food, shelter, and basic economic goods for the needy, it has a moral right and duty to tax its members for this purpose. In line with this duty, it may have to regulate markets, prices and competition, to protect the interests of its weakest members.”135

In Judaism, charity is not perceived as a sign of goodness; it is more of a responsibility. Such a society then has the right to regulate its economy in such a way that the responsibility of charity is carried out to its satisfaction.

With a number of responsibilities, however, comes the difficulty of getting them into practice. Their fulfillment, then, in cases when it can be done, takes place gradually “in layers.” Charitable activities are classified in the Talmud according to several target groups with various priorities, classified according to, it could be said, rules of subsidiarity.

Do not mistreat an alien or oppress him, for you were aliens in Egypt.140 As one can see, aside from widows and orphans, the Old Testament also includes immigrants in its area of social protection.141 The Israelites had to have the same rules apply for them as for themselves—they could not discriminate on the basis of their origin.

ABSTRACT MONEY, FORBIDDEN INTEREST, AND OUR DEBT AGE If it appears to us that today’s era is based on money and debt, and our time will be written into history as the “Debt age,” then it will certainly be interesting to follow how this development occurred.

Money is a social abstractum. It is a social agreement, an unwritten contract.

The first money came in the form of clay tablets from Mesopotamia, on which debts were written. These debts were transferable, so the debts became currency. In the end, “It is no coincidence that in English the root of ‘credit’ is ‘credo,’ the Latin for ‘I believe.’”

To a certain extent it could be said that credit, or trust, was the first currency. It can materialize, it can be embodied in coins, but what is certain is that “money is not metal,” even the rarest metal, “it is trust inscribed,”

Inseparably, with the original credit (money) goes interest. For the Hebrews, the problem of interest was a social issue: “If you lend money to one of my people among you who is needy, do not be like a moneylender; charge him no interest.”

there were also clearly set rules setting how far one could go in setting guarantees and the nonpayment of debts. No one should become indebted to the extent that they could lose the source of their livelihood:

In the end, the term “bank” comes from the Italian banci, or the benches that Jewish lenders sat on.157

Money is playing not only its classical roles (as a means of exchange, a holder of value, etc.) but also a much greater, stronger role: It can stimulate, drive (or slow down) the whole economy. Money plays a national economic role.

In the course of history, however, the role of loans changed, and the rich borrowed especially for investment purposes,

In such a case a ban on interest did not have great ethical significance. Thomas Aquinas, a medieval scholar (1225-1274), also considers similarly; in his time, the strict ban on lending with usurious interest was loosened, possibly due to him.

As a form of energy, money can travel in three dimensions, vertically (those who have capital lend to those who do not) and horizontally (speed and freedom in horizontal or geographic motion has become the by-product—or driving force?—of globalization). But money (as opposed to people) can also travel through time.

money is something like energy that can travel through time. And it is a very useful energy, but at the same time very dangerous as well. Wherever

Aristotle condemned interest162 not only from a moral standpoint, but also for metaphysical reasons. Thomas Aquinas shared the same fear of interest and he too argued that time does not belong to us, and that is why we must not require interest.

MONEY AS ENERGY: TIME TRAVEL AND GROSS DEBT PRODUCT (GDP)

Due to this characteristic, we can energy-strip the future to the benefit of the present. Debt can transfer energy from the future to the present.163 On the other hand, saving can accumulate energy from the past and send it to the present.

labor was not considered degrading in the Old Testament. On the contrary, the subjugation of nature is even a mission from God that originally belonged to man’s very first blessings.

LABOR AND REST: THE SABBATH ECONOMY

The Jews as well as Aristotle behaved very guardedly toward loans. The issue of interest/usury became one of the first economic debates. Without having an inkling of the future role of economic policy (fiscal and monetary), the ancient Hebrews may have unwittingly felt that they were discovering in interest a very powerful weapon, one that can be a good servant, but (literally) an enslaving master as well.

It’s something like a dam. When we build one, we are preventing periods of drought and flooding in the valley; we are limiting nature’s whims and, to a large extent, avoiding its incalculable cycles. Using dams, we can regulate the flow of water to nearly a constant. With it we tame the river (and we can also gain

But if we do not regulate the water wisely, it may happen that we would overfill the dam and it would break. For the cities lying in the valley, their end would be worse than if a dam were never there.

If man lived in harmony with nature before, now, after the fall, he must fight; nature stands against him and he against it and the animals. From the Garden we have moved unto a (battle)field.

Only after man’s fall does labor turn into a curse.168 It could even be said that this is actually the only curse, the curse of the unpleasantness of labor, that the Lord places on Adam.

Both Plato and Aristotle consider labor to be necessary for survival, but that only the lower classes should devote themselves to it so that the elites would not have to be bothered with it and so that they could devote themselves to “purely spiritual matters—art, philosophy, and politics.”

Work is also not only a source of pleasure but a social standing; It is considered an honor. “Do you see a man skilled in his work? He will serve before kings.”170 None of the surrounding cultures appreciate work as much. The idea of the dignity of labor is unique in the Hebrew tradition.

Hebrew thinking is characterized by a strict separation of the sacred from the profane. In life, there are simply areas that are holy, and in which it is not allowed to economize, rationalize, or maximize efficiency.

the message of the commandment on Saturday communicated that people were not primarily created for labor.

This dimension has disappeared from today’s economics. Economic effort has no goal at which it would be possible to rest. Today we only know growth for growth’s sake, and if our company or country prospers, that does not…

the purpose of creation was not just creating but that it had an end, a goal. The process was just a process, not a purpose. The whole of Being was created so…

ancient Greek economic ethos, we will examine two extreme approaches to laws and rules. While the Stoics considered laws to be absolutely valid, and utility had infinitesimal meaning in their philosophy, the Epicureans, at least in the usual historical explanation, placed utility and pleasure in first place—rules were to be made based on the principle of utility.

CONCLUSION: BETWEEN UTILITY AND PRINCIPLE The influence of Jewish thought on the development of market democracy cannot be overestimated. The key heritage for us was the lack of ascetic perception of the world, respect to law and private…