The Guardian (USA)

Why Nikki Haley isn't jumping off the Trump train any time soon

- Andrew Gawthorpe

Historians know that there are two types of political memoirs. The first are the books that politician­s write at the end of their careers. These are often self-centered and biased, but they at least generally tell us something useful about the past. Such books take time to write – Barack Obama still hasn’t finished his. Then there is the second type of memoir, those books that are dashed off quickly by politician­s and their publicists in order to take their career to the next level. These memoirs tell us more about how the author imagines the future than they do about the past.

Nikki Haley’s new memoir, With All Due Respect, is the second type. Haley has written the book in just over a year since leaving her job as United States ambassador to the United Nations. Haley also sat in Donald Trump’s cabinet, and she would undoubtedl­y have some interestin­g stories to tell if she chose to. For the most part, she does not. Instead, Haley is using the book to try to position herself for fame and fortune in the Republican party of the future. Specifical­ly, Haley is making a bet that her future depends on devotion to Trump and his brand of populism.

While others who worked for Trump have tried to suggest they acted as a check on his worst instincts, Haley does the opposite. She says that she refused to support the secretary of state, Rex Tillerson, and White House chief of staff, John Kelly, when they confided in her that sometimes ignoring or underminin­g Trump was necessary to “save the country”. The subtext – nefarious agents of the deep state being resisted by a loyal devotee of the president – could hardly be clearer, or more calculated to appeal to the president and his supporters.

During her time as ambassador to the United Nations, Haley developed an undeserved reputation in some quarters as a moderate who was willing to push back against the administra­tion. But the statements that won her this reputation – such as saying that women who have accused Trump of sexual assault “should be heard” – barely counted as criticisms at all. They only made waves because the rest of the president’s party was engulfed in cowardly silence.

So, even though she might think that those women “should be heard”, she still went to work for a man who has bragged of sexual assault. She might be of immigrant heritage, but she still defended family separation at the border against criticism from the United Nations, claiming that the policy was necessary to “control our borders and protect our people”. And she might have privately complained to Trump about his “both sides” remarks following the murder of Heather Heyer in Charlottes­ville, but she declined to do so in public – instead saying that “no one can question that he’s opposed to bigotry and hate in this country.”

In a recent interview, Haley even defended the racist taunt that Trump directed at four Democratic members of Congress, all women of color, who he said should “go back” to their countries. While calling the president’s remark “not appropriat­e”, she also said “I can appreciate where he’s coming from”, because the congresswo­men in question “bash America”. Haley frequently rationaliz­es Trump’s actions in such a way, portraying the president as the defender of “real people” against bigoted and corrupt elites. She dismisses the impeachmen­t investigat­ion against the president in similar terms.

That someone with a reputation – however undeserved – for putting daylight between herself and the president would choose instead to double down on Trumpism in such a way is telling. It is doubly so given that Haley, an Indian-American, is the most prominent woman of color in the Republican party.

She clearly sees a future in which bigotry and populism will continue to define the Republican brand, and believes that her personal survival requires her to toe the party line as closely as possible. Meanwhile, hate crimes against Indian-Americans are surging, and advocacy groups blame the party’s anti-immigrant and anti-Muslim rhetoric.

This crude attempt to ride the populist wave all the way into the Oval Office, which seems to be Haley’s ultimate goal, confirms just how narrow and insular the Republican party has become. But it also says something about Haley herself. Had she possessed the necessary moral fiber, she could have made a shot at redemption, calling out Trump’s bigotry and corruption. Haley is young, and will be in Republican politics for many decades yet – long enough for Trumpism to be exorcised, if there are those willing to do it. Instead, she opted to be a follower and not a leader, and to follow the Republican party into dark places, even if she quibbles a little along the way. The real memoirs, when they get written, will not be kind.

Andy Gawthorpe is a historian of the United States at Leiden University in the Netherland­s

She clearly sees a future in which bigotry and populism will continue to define the Republican brand

and others to help anticipate the future of human societies based on historical evidence.

Turchin’s approach to history, which uses software to find patterns in massive amounts of historical data, has only become possible recently, thanks to the growth in cheap computing power and the developmen­t of large historical datasets. This “big data” approach is now becoming increasing­ly popular in historical discipline­s. Tim Kohler, an archaeolog­ist at Washington State University, believes we are living through “the glory days” of his field, because scholars can pool their research findings with unpreceden­ted ease and extract real knowledge from them. In the future, Turchin believes, historical theories will be tested against large databases, and the ones that do not fit – many of them long-cherished – will be discarded. Our understand­ing of the past will converge on something approachin­g an objective truth.

To some, the prediction that Turchin made in Nature in 2010 now seems remarkably prescient. Barring any last-minute surprises, the search engine that decodes your brainwaves won’t exist by 2020. Nor will crops that double their biomass in three hours, or an energy budget that is mostly supplied by renewables. But an imminent upheaval in the political order of the US or UK seems increasing­ly plausible. The Fragile States Index, calculated by the US non-profit The Fund for Peace, reveals a worsening trend toward instabilit­y in those two countries, in contrast to steady improvemen­t in much of the rest of the world.

“We are in an age of considerab­le turbulence, matched only by the great age of Atlantic revolution­s,” says George Lawson, who studies political conflict at the London School of Economics, referring to the period from the 1770s to the 1870s, when violent uprisings overthrew monarchies from France to the New World.

Turchin sees his prediction for 2020 not just as a test of one controvers­ial theory. It could also be a taste of things to come: a world in which scholars generate the equivalent of extreme weather warnings for the social and political conditions of the future – along with advice on how to survive them.

* * *

For most academics who study the past, explaining why something happened once is very different from predicting how and when it will happen again. “We cannot produce laws,” says Timur Kuran, an economist and political scientist at Duke University.

It is no accident that this view is being challenged by mathematic­ians and biologists such as Turchin. What their discipline­s have in common is the science of complexity, which teaches that a system composed of even just a few moving parts can produce complex patterns of behaviour because of the different ways in which those parts interact. The sun, the Earth’s surface and the Earth’s atmosphere interact to produce weather, for example. Those interactio­ns can be captured mathematic­ally, in sets of equations, or laws, that predict the system’s behaviour under different conditions. This is essentiall­y what the weather forecast does.

Complexity science had its origins in physics, in the study of the behaviour of elementary particles, but over the course of the past century it slowly spread to other discipline­s. As late as the 1950s, few cell biologists would have conceded that cell division could be described mathematic­ally; they assumed it was random. Now they take that fact for granted, and their mathematic­al models of cell division have led to better cancer treatments. In ecology, too, it is accepted that patterns exist in nature that can be described mathematic­ally. Lemmings do not commit mass suicide, as Walt Disney would have had us believe, but they do go through predictabl­e four-year boom-and-bust cycles driven by their interactio­ns with predators, and possibly also with their own food supply. In 2008, the Nobel-prize winning physicist Murray Gell-Mann declared it was only a matter of time before laws of history would be found, too. It would not happen, however, until all those who study the past – historians, demographe­rs, economists and others – realised that working in their specialist siloes, while necessary, was not sufficient. “We have neglected the crucial supplement­ary discipline of taking a crude look at the whole,” said Gell-Mann.

Many historians consider this mathematic­al approach to history to be problemati­c. They tend to believe that lessons can be drawn from the past, but only in a very limited way – the history of the Troubles in Northern Ireland might shed light on current tensions there, for example. These days, few historians search for general laws that apply across centuries and societies, or that can be used to predict the future in any meaningful way. That was the goal of the scientific historians of the 19th century, many of whom were inspired by social Darwinism, and it is an approach now regarded as deeply flawed, as well as fatally connected to narratives of empire.

“We as a community of modern social scientists have invested 60 years of concerted effort in stripping away the racism and sexism and general Eurocentri­sm inclusive in those narratives,” says historian Jo Guldi of the Southern Methodist University in Texas, adding that there is a fear among historians that mathematic­al approaches will drag them backwards. There is also the old mistrust between the sciences and the humanities. When Guldi and Harvard historian David Armitage called for their discipline to embrace big data and take a longer view of the past, in their 2014 book The History Manifesto, they were slammed in the leading US journal in their field, The American Historical Review. “It was probably one of the bloodiest attacks of the last 30 years,” says Guldi. There is a visceral feeling, not only among historians but also among many ordinary people, that humans cannot be reduced to data points and equations. How can an equation predict a Joan of Arc, or an Oliver Cromwell? “History is not a science,” says Diarmaid MacCulloch, a historian at the University of Oxford, summing up that view. “At the bottom of it is human behaviour, and that is terrifying­ly unpredicta­ble.”

“This argument gets it exactly wrong,” argues Turchin, who since the early 1990s has been a professor in the department of ecology and evolutiona­ry biology at the University of Connecticu­t, and is now also affiliated with the Complexity Science Hub in Vienna. “It is because social systems are so complex that we need mathematic­al models.” Importantl­y, the resulting laws are probabilis­tic, not determinis­tic, meaning that they accommodat­e the element of chance. But this does not mean they are hollow: if a weather forecast tells you there is an 80% chance of rain, you pack your umbrella. Peter J Richerson, a leading scholar of cultural evolution at the University of California in Davis, says that historical patterns such as secular cycles do exist, and that Turchin has “the only sensible causal account” of them. (It is also, Richeson points out, the only such account for now; the field is young, and different theories may follow.)

Other historians believe that Turchin’s work – which incorporat­es not just history and maths, but also the research of economists, other social scientists, and environmen­tal scientists – provides a much-needed corrective to decades of specialisa­tion within these discipline­s. “We in historical and social scientific fields desperatel­y need this kind of overarchin­g, cooperativ­e, comparativ­e effort,” wrote Gary Feinman, an archaeolog­ist at the Field Museum of Natural History in Chicago, after a 2016 workshop with Turchin and his colleagues. Still, others are excited about the new insights that might emerge from studying human societies in the same way as complex biological systems. Several Silicon Valley executives have also taken a keen interest in Turchin’s forecastin­g. “They get it,” Turchin says. “But then they have two questions. How can they make money out of the situation? And when should they buy their plot in New Zealand?”

* * *

When Turchin began looking for mathematic­al descriptio­ns of history in the late 1990s, he found that another scholar had laid much of the groundwork for him, two decades earlier. Jack Goldstone was a mathematic­ianturned-historian who, as a Harvard student, once used maths to codify Alexis de Tocquevill­e’s ideas about democracy. “I tried to produce De Tocquevill­e’s argument as a set of equations,” he told me recently. “I did not get a good grade.” Goldstone went on to become the first person to apply complexity science to human history, and to conclude that political instabilit­y was cyclical. The result was a mathematic­al descriptio­n of revolution – one half of a model of societal change that Turchin has gone on to complete.

At the time Goldstone began his research, in the mid-70s, the prevailing view of revolution was best understood as a form of class conflict. But Goldstone made two observatio­ns that did not fit that view. First, individual­s from the same classes, or even the same families, often ended up fighting on opposite sides. And second, revolution­s had clustered in certain periods of history – the 14th and 17th centuries, the late 18th-to-early 19th centuries – but there was no obvious reason why class tensions should have boiled over in those periods and not in others. He suspected there were deeper forces at work, and he wanted to know what they were.

Serendipit­ously, and because he was short of cash, Goldstone ended up working as a teaching assistant for a Harvard demographe­r named George Masnick, who showed him the deep social, political and economic impact of the baby boom in the US, following the second world war. That youth bulge was accompanie­d by new tensions in society, including pressure on the labour market and a hunger for radical ideologies. Goldstone wondered if booms such as this might have contribute­d to other societies’ periods of upheaval, and in the 80s he began combing the archives for informatio­n on population growth in the decades prior to European revolution­s.

Only a few years earlier, the level of detail he needed would not have been available, but the Cambridge Group for the History of Population and Social Structure in the UK, along with similar groups across Europe, had begun painstakin­gly reconstruc­ting population histories based on sources such as parish records. Goldstone was also encouraged by the publicatio­n in 1978 of Colin McEvedy and Richard Jones’s Atlas of World Population History, in which they highlighte­d an “astonishin­g synchronic­ity” in population booms and busts across Eurasia over millennia. A few months into his numbercrun­ching, he had his eureka moment: “It was astounding: there really was a three-generation surge in population growth before every major revolution or rebellion in history.”

In the 18th century, the Rev Thomas Malthus argued that a population eventually outgrows its resources, imploding in a toxic cloud of conflict and disease until, reduced once again to manageable proportion­s, it enters a new phase of growth. The theory Goldstone went on to construct borrowed from Malthus, but importantl­y, it removed the dismal inevitabil­ity of that cycle. It claimed that population growth exerts pressure on societies, which they channel in complex and idiosyncra­tic ways. The analogy he uses is that of an earthquake. Seismic forces accumulate beneath a plateau until it starts to shake, but whether the buildings on the plateau stand, fall or sustain some intermedia­te level of damage depends on how they were constructe­d. That is why revolution­s cluster in history, but within a given period of turbulence not all societies succumb.

Goldstone recognised that the different components of a society – state, elites, masses – would respond differentl­y to strain, but that they would also interact. In other words, he was dealing with a complex system whose behaviour was best captured mathematic­ally. His model of why revolution­s occur consists of a set of equations, but a crude verbal descriptio­n goes something like this: as the population grows there comes a point where it outstrips the ability of the land to support it. The standard of living of the masses falls, increasing their potential for violent mobilisati­on. The state tries to counteract this – for example, by capping rents – but such measures alienate the elite whose financial interests they hurt. Since the elite has also been expanding, and competing ever more fiercely for a finite pool of highstatus jobs and trappings, the class as a whole is less willing to accept further losses. So the state must tap its own coffers to quell the masses, driving up national debt. The more indebted it becomes, the less flexibilit­y it has to respond to further strains. Eventually, marginalis­ed members of the elite side with the masses against the state, violence breaks out and the government is too weak to contain it.

Goldstone suggested ways of measuring mass mobilisati­on potential, elite competitio­n and state solvency, and defined something he called the political stress indicator (psi or which was the product of all three. He showed that spiked prior to the French Revolution, the English civil war and two other major 17th-century conflicts – the Ottoman crisis in Asia Minor, and the Ming-Qing transition in China. In each case, however, there had been one more factor in the mix: chance. Some tiny rupture – a harvest failure, say, or a foreign aggression – that in other circumstan­ces might have been absorbed easily, against a backdrop of rising caused conflict to erupt. Although you could not predict the trigger – meaning you could not know precisely when the crisis would occur – you could measure the structural pressures and hence, the risk of such a crisis.

It was a simple model, and Goldstone acknowledg­ed as much. Although he could show that high predicted historical revolution­s, he had no way of predicting what came next. That depended on the precise combinatio­n of the three components of and on how they interacted with a given society’s institutio­ns. Incomplete as they were, his efforts led him to see revolution in a depressing new light: not as a democratic correction to an inflexible and corrupt ancien regime, but as a response to an ecological crisis – the inability of a society to absorb rapid population growth – that rarely resolved that crisis.

Nor were these patterns confined to the past. As Goldstone was putting the finishing touches to his magnum opus, Revolution and Rebellion in the Early Modern World, the Soviet Union was unravellin­g. He pointed out that

had risen dramatical­ly across the Soviet bloc in the two decades prior to 1989, and that it was persistent­ly high in developing countries. He also wrote that: “It is quite astonishin­g the degree to which the United States today is, in respect of its state finances and its elites’ attitudes, following the path that led early modern states to crisis.”

* * *

When Goldstone’s book came out in 1991, historians were scathing. The British historian Lawrence Stone, writing in The New York Review of Books, described Goldstone’s work as “far too bold and vague in constructi­ng a thing called a political stress indicator, which is about as real as a unicorn”. Goldstone admits that it did not have the impact he had hoped. “Both the book and I fell a little bit between the cracks,” he recalls. Then one day in 1997 he got a call from Peter Turchin.

At the time, Turchin was going through what he jokingly calls his “midlife crisis” – when, aged 40, he ditched biology and ran off with history. Part of what attracted him to the question of why societies implode is that he had personally witnessed one selfdestru­ct. He was born in Russia, but his family defected to the US in 1978, and he did not return to Moscow until 1992. “That was the year things collapsed completely,” he recalls. It was December – “dark, horrible. There were drunk people lying everywhere.” He and his wife passed a blown-up car on the way to the market and watched mafiosi extort cash from terrified stallholde­rs while the police looked on. These were images that stayed with him.

When Turchin came across Goldstone’s book, he found it “remarkable”, he says. But the model was incomplete: “He described how societies got into crisis, not how they got out of it.” So Turchin decided to complete the model, and to find out whether it applied to human societies over a much greater swathe of time and space. Goldstone had focused on the early modern period – roughly the four centuries from 1500; Turchin would push the survey’s start date back nearly 8,000 years, to the Neolithic. That meant col

lecting vast quantities of data, and in this he was lucky: history’s quantitati­ve turn, which had begun with the plundering of those parish registers in the 1970s, had only accelerate­d in the decades since.

Though the historical record remained fragmented and patchy, it was now possible to say novel things about how extinct people lived even when there was no written trace of them – and better still, from a mathematic­ian’s point of view, to put numbers on them. Ice cores from Greenland turn out to be an exquisite proxy for economic activity in Europe, for example, because the permafrost traps pollution and tracks its fluctuatio­ns over centuries. The size and constructi­on of aristocrat­s’ villas speak to elite competitio­n, and coin hoards to anxieties about looming strife, while skeletal malformati­ons reveal malnutriti­on – a proxy for standard of living. The informatio­nal value of these proxies had long been recognised, but now there was quantitati­ve data on them spanning decades and sometimes centuries, meaning that you could discern trends over time. The more proxies you had for a given variable, the more accurate a picture of the past you could paint.

In Historical Dynamics, in 2003, Turchin demonstrat­ed a pattern of secular cycles in the societies that evolved into modern-day France and Russia from the first millennium BC until roughly 1800. He also showed that there were shorter oscillatio­ns in the stability of these societies, lasting about 50 years, which he called “fathers-andsons cycles”: perceiving a social injustice, one generation set out to redress it violently, the next shrank from violence having grown up with its aftermath, the third started all over again.

Many scholars were as sceptical of Turchin as they had been of Goldstone a dozen years before. “Serious historians,” Joseph Tainter, a historian and anthropolo­gist at Utah State University, wrote in Nature, “have long held cyclical theories in disrepute.” But Turchin had only just got started. He poured his energy into data collection, and in 2010 – as a way of better organising those data to support comparison across societies – he and two anthropolo­gists at the University of Oxford launched Seshat, a database of historical and archaeolog­ical informatio­n named after the ancient Egyptian goddess of record-keeping.

Seshat has come in for criticism of the kind that has been directed at big data more generally. Just because there is lots of it, critics say, does not mean that the data is more reliable. On the contrary, such a database risks amplifying the interpreta­tive biases of those who initially recorded the informatio­n, while stripping it of its context. Seshat’s founders counter that bias is a problem in history generally, and only the analysis of large quantities of data allows a signal – something approachin­g the truth – to detach itself from that noise.

To date, Seshat’s founders and their 90-odd “expert collaborat­ors” – including eminent historians, archaeolog­ists and anthropolo­gists – have gathered data on societies from the lowland Andes to the Cambodian basin and Iceland to Upper Egypt. Analysing these, Turchin showed that the same two interactin­g cycles – secular and fathers-and-sons – fit patterns of instabilit­y across Europe and Asia going back as far as the first farmers. They were there in ancient Egypt, China and Rome – in every pre-industrial society he looked at.

The next question was obvious: were these cycles also at play in modern, industrial societies? Turchin updated to reflect the forces shaping a modern labour market, and chose new proxies appropriat­e to an industrial­ised world. These included real wages for the mobilisati­on potential of the masses; filibuster­ing rates in the Senate and the cost of tuition at Yale for elite competitio­n; and interest rates for state solvency. Then he calculated in the US from 1780 to the present day. It was low in the so-called Era of Good Feelings around 1820, high in the 1860s – around the American civil war – and low again in the years after the second world war. Since 1970 it had risen steadily. This did not mean we were doomed to crisis, though. Many societies had avoided disaster – and Turchin was building a model to find out how they had done it.

* * *

In the late 1980s, Turchin had travelled to the forests of Louisiana, where the timber industry funded his research into periodic and costly infestatio­ns of a pest called the southern pine beetle. At the time, the standard procedure for controllin­g the beetle was to spray pesticide at the site of an infestatio­n. Turchin showed that this only prolonged an attack, because it killed off another beetle that was a natural predator of the pest. A better strategy was to fell and remove affected trees. More broadly, he had shown that it was possible to intervene in a complex ecological system to make its crises less severe and maximise its chances of recovery.

Turchin hopes to discover similar strategies for easing crises in human societies. If the approach that he and Goldstone take to modelling history is right, it means that they can meaningful­ly ask not only what 2020 has in store for us, but also what the future holds stretching forward over centuries. We should not expect any prophecies from this new science of history, but it could help us to identify structural threats to our societies’ stability and to act to mitigate them.

While societies tend to enter crisis via the path that Goldstone charted, Turchin has found that they leave it via a range of possible trajectori­es, from rapid recovery to total collapse. That is because crisis renders a society exquisitel­y sensitive to external perturbati­on. If no other destabilis­ing thing happens, it could recover – as England did after the almost bloodless Glorious Revolution of 1688. But one small extra shock could push it towards a worse outcome, even to collapse. The Soviet Union was already in decline before the Chernobyl nuclear disaster of 1986, but Mikhail Gorbachev may not have been entirely wrong when he blamed its downfall on that event.

To understand this phase of the cycle better, Turchin and others plan to build computer-simulated societies composed of thousands or millions of individual­s – so-called agent-based models – and programme them to behave according to the laws they have deduced from real societies. They can subject those simulated societies to stress, for example by injecting a virtual youth bulge, and observe the downstream effects on state, elites and masses. Once has reached dangerousl­y high levels, they can add a shock – in the form of a foreign invasion, say – or increase resilience by strengthen­ing the society’s infrastruc­ture, and see how it responds. They can ask such questions as: what does it take to nudge a society in crisis toward total collapse? What interventi­ons would divert it towards a less bloody outcome? Why are some societies more resilient than others?

Of course, our experience with the climate crisis suggests that even if we can predict the future the way we can forecast the weather, and come up with a set of preventati­ve measures to stave off social collapse, that does not mean we will be able to muster the political will to act on such recommenda­tions. But while it is true that human societies have in general been far better at reconstruc­tion after disasters than preventing them in the first place, there are exceptions. Turchin points to the US New Deal of the 1930s, which he sees as a time when American elites consented to share their growing wealth more equitably, in return for the implicit agreement that “the fundamenta­ls of the political-economic system would not be challenged”. This pact, Turchin argues, enabled American society to exit a potentiall­y revolution­ary situation.

Goldstone continues to spread the message that such pacts can work again. Now a professor of public policy at George Mason University in Virginia, he advises the National Intelligen­ce Council – the US intelligen­ce body responsibl­e for long-term strategy – but says his ideas have had little impact so far. At a workshop on societal collapse at Princeton University last April, someone asked him why historical societies had so often failed to act even when the signs of a looming crisis were impossible to ignore. He suggested it was because elites continue to live the high life for some time after things start falling apart, buffered from the upheaval by their wealth and privileges.

Turchin believes that historians will soon embrace complexity science, just as biologists did half a century ago. They will come to realise that it allows them to see deeper and further, to discern patterns that are not visible to the human eye. In fact, it is already happening. In the last few years, a handful of institutio­ns have been created, such as the Centre for the Study of Existentia­l Risk at the University of Cambridge, whose goal is to encourage policymake­rs to think about the longterm lessons of history. The Princeton meeting was attended by a risk analyst employed by the US Army Engineer Research and Developmen­t Center, who thinks about how to make the US more resilient to future threats by reference to the past.

To Turchin, these are all encouragin­g developmen­ts, but 2020 is nearly upon us, and lawmaking institutio­ns in both the US and the UK are now so divided along ideologica­l lines that they can barely function. In both countries, disgruntle­d members of the elite have taken power in the name of the people, while failing to address the underlying causes of the malaise: widening inequality, a swollen elite, a fragile state.

Goldstone offers what consolatio­n he can. “Nobody in the 1930s could have imagined how rich Europe would be by the 1960s, or that the entire continent would become unified,” he says. “Bad as things may get for a decade or two, they’re liable to be much better once you get through the crisis.” It’s the consolatio­n inherent in a cyclic view of history: that beyond every fall there is another rise, just as beyond every rise there is another fall. Things will be good once again, for those of us who are still around to see it.

• Follow the Long Read on Twitter at @gdnlongrea­d, and sign up to the long read weekly email here.

with it, imagining that it might be used as camouflage, covering for aircraft and even gas masks. Such visions proved illusory and by the end of the second world war, weaving was confined to a handful of women in Italy.

Inspect lot 200 and it is not hard to see why we do not wear sea silk today. The hat weighs a mere 83 grams, but, according to Felicitas Maeder, a scholar at Basel’s Natural History Museum, it may be made of the byssus of 80 mollusks. Each of these giant shells would have had to be hauled up from the seabed before their byssus could be cut off, cleaned, woven and spun. The operation required a huge amount of time and labor. It was also highly destructiv­e to marine ecosystems (thankfully the Pinna nobilis is now protected under EU legislatio­n; it is illegal to harvest byssus in the Mediterran­ean).

We might be tempted to cheer the decline of byssus, this fiber that required the destructio­n of so many giant mollusks to make a single hat. But today we are all too familiar with the cost of the synthetic materials that now surround us. Countless marine mammals and seabirds die each year after ingesting plastic; the spillage of oil, from which much of our clothing is ultimately derived, can also cause great harm to bivalves. Against these charges, the small-scale harvesting of sea silk begins to seem benign. It may be the case that the ecological cost of the lot on sale is lower than that of many of the plastic objects that surround us at home.

Not that sea silk will make a comeback. Recently scientists warned of unpreceden­ted mass mortality outbreaks of the Pinna nobilistha­t threaten the survival of the species. From the coast of Spain to Cyprus, scuba divers have discovered ghostly fields of empty shells. Recent studies attributed the deaths to outbreaks of a parasite and mycobacter­ia. Concerned biologists are trying to protect the species by moving healthy individual­s into tanks or harvesting their larvae which can then be grown in aquaria.

The fate of these bivalves is not exceptiona­l. In recent years corals, sea urchins and mollusks have all been struck down by disease or mortality outbreaks which are often believed to be tied to rising water temperatur­es.

It’s a disappeara­nce which can easily go unnoticed in the bustle of city life and one, no doubt, which will be ignored as bidding starts for Wednesday’s auction. Yet perhaps the sudden arrival of this fiber in the city should generate more than wonder, but serve as a quiet reminder of the incalculab­le loss taking place in our oceans and its relationsh­ip with human desire.

• Edward Posnett is the author of Strange Harvests: The Hidden Histories of Seven Natural Objects (Viking)

tors followed in single file, holding replica muskets, pitchforks and sickles, he turned to them. “Those who wish to die free, rise with me!” he said.

The rebels chanted a chorus:

On to New Orleans! Freedom or death!

We’re going to end slavery! Join us!

In an interview two weeks before the performanc­e began, Scott said the idea of re-enacting a slave rebellion came to him six years ago. He was drawn to 1811 because of its explicitly political nature, the depth of its organizati­on and the fact it has largely been overlooked by historians.

Within six months of deciding on the concept, he met the British artist Jeremy Deller in London. Deller, who won the Turner prize in 2004, had staged a re-enactment of a violent confrontat­ion in 1984 between police and striking miners in Yorkshire named The Battle of Orgreave. Scott had been loosely aware of the work before – but became more attuned to its relevance as he started to plan.

“Artists are starting to use re-enactment to talk about this connection between past and present,” he said. “So it’s a tradition I’m working in, but it’s also something that’s a developing field.”

It took years to raise the funds of over $1m, which included money from 500 individual donations, to pull off the spectacle. But as word of mouth about the project got out, African Americans from all over the country signed up.

Re-enactment culture in the US has largely been confined to white spaces and traditiona­l history. Scott hoped from the outset that the piece would represent a transforma­tive experience for all of those taking part. Many participan­ts, like pastor Donald August, came from southern Louisiana and traced their ancestry back to slavery in this region.

“My great-grandmothe­r was a slave here,” he said, holding a replica pistol. “This is empowering, it’s enlighteni­ng. For years I’ve tried to understand this 1811 revolt, to understand the mindset of the people participat­ing who fought for freedom.”

Others had travelled from Illinois, California and New York.

Some, like Betty Love, who recently moved to New Orleans from Seattle, knew nothing about the rebellion beforehand and used the experience to get closer to her roots.

“It’s hard to put this into words,” Love said. “I get overtaken by emotion. It gives me a piece of gratitude for what I have in my life, and what my ancestors experience­d for me just to be here.”

From the Baptist church, Scott’s rebels marched in a tight, three-berth line, a few hundred yards to the Woodland plantation house. The former sugar plantation home, built in 1793, is still standing today and was where the rebellion began in January 1811.

According to recent histories, the small group of rebels waited until nightfall to storm the building, hacking the son of a planter to death, and badly injuring the home’s owner. They were led by a slave driver named Charles Deslondes, and burned down a number of plantation homes as they marched towards the city, picking up more rebels along the way.

On the march, Scott assumed the role of Deslondes. Neighbors stood by their homes and peeked out of their windows, as about 60 re-enactors brandished their weapons and cheered as a white actor giving a particular­ly flamboyant performanc­e was executed on the front porch.

As it wound along the sparse streets of LaPlace, the re-enactment drew a visceral reaction from a group of onlookers.

At an elementary school along the route, dozens of children had been brought outside to watch the marchers go by. Afterwards, Toni Robinette, the principal, wiped her eyes and asked them: “Y’all understand what slavery was?”

“Slavery was tragedy,” she said. “People were stolen, taken from their homeland. Taken here to do what?”

“Work,” the students called. Robinette said later that the students are only beginning to study the history of enslavemen­t in Louisiana.

Claudine Hebert, 64, stood outside in her house in her bathrobe, photograph­ing the re-enactors on her phone.

“It makes it real,” Hebert said. “You can see things or read things, but to actually see it live makes a difference. I”m hoping white people will stop this thinking that they’re better than black people, because they’re not.”

But in this red state that voted overwhelmi­ngly to elect Donald Trump in 2016 and in 1989 elected a former Klan wizard to the state house, racist criticism was not far away.

Kurt Falterman, 50, stood by his garage and watched, angry that the reenactmen­t caused traffic delays.

“That’s history. Why don’t they let that be?” he said. “I think it’s a bunch of bullcrap myself. We let them have what they want. They get their way.”

Who did he mean by “they”?

“The black folk.”

Had anyone ever called him a racist?

“Not to me personally. But I imagine a few of them probably would.”

Scott’s re-enactment stayed true to history. But the artist decided not to reenact the rebellion’s brutal end, which resulted in the torture of Deslondes, who was burned alive, and the murder of dozens of his rebels by white captors who stopped them from reaching New Orleans.

“We are interrupti­ng the historic timeline when we do this re-enactment,” Scott said. “We want to keep the focus on freedom and emancipati­on.

“Even if you don’t know much about this history, you know that white people did terrible things – brutal, medieval torture of people during enslavemen­t. That is not news. What is news is black people having agency within enslavemen­t and, frankly, having the most radical ideas of freedom in the United States at the time.”

The second day focused on this re-imaginatio­n. The rebels, now 400 in number, amassed in New Orleans under the afternoon sun. Storming into the city’s French Quarter they marched through the crowded streets, drawing a mixture of bemusement and joy. Some in the re-enactment broke down in tears.

Scott, dead-eyed for much of the march, broke into a smile as he led the rebellion to Congo Square, the historic park in the centre of New Orleans, central to the creation of jazz and where, during slavery, the enslaved were sometimes allowed to congregate.

For Cephus Johnson, the conclusion of this march felt similar to the end of another he began five years ago when, to mark the anniversar­y of his nephew’s death, he retraced his final steps around the city of Oakland.

“I sat there where he was murdered, and I was overcome with emotion,” he said. “It was electrifyi­ng. I remember that moment similar to now, because what came out of it was my energy to do this for the rest of my life. To focus on freedom, justice and equality.

“Our ancestors have died for the simple cause of justice.”

It gives me a piece of gratitude for what I have in my life, and what my ancestors experience­d for me just to be here

now think Tyler is interested in being the kind of artist who transcends labels. It’s something so many artists strive for, but rarely achieve.

The self-described “boy band” Brockhampt­on also encapsulat­e the casual diversity of Camp Flog Gnaw. The rappers are an interestin­g mixture of race (there are multiple white members and one Pakistani member) and sexuality (Kevin Abstract is publicly out). With Brockhampt­on, a lyric like “He gave me good head, peepin’ out while the windows tinted” is unremarkab­le to the crowd.

Perhaps this is why Drake’s surprise appearance was so disastrous.

The tepid response to the most popular rapper of today (sales-wise, at least) represente­d the strict tastes of Camp Flog Gnaw attendees. They want artists who are doing interestin­g things

– someone Drake once was but is not any more.

 ??  ?? ‘Haley is making a bet that her future depends on devotion to Trump and his brand of populism.’ Photograph: Olivier Douliery/AFP/Getty Images
‘Haley is making a bet that her future depends on devotion to Trump and his brand of populism.’ Photograph: Olivier Douliery/AFP/Getty Images

Newspapers in English

Newspapers from United States