‘How Real Problems Become Racial Explanations: Why Immigration Debates Go Wrong’ Racism is commonly understood as prejudice, discrimination, or hostility directed at people because of their race, ethnicity, or perceived racial characteristics. Most people recognise overt racism when they see it: slurs, exclusion, violence, or claims that some groups are inherently superior or inferior to others. Most British people abhor racism. In contemporary Britain, however, the more consequential forms of racial thinking rarely begin in these explicit ways. They tend to emerge indirectly, through the attempt to explain real and visible social problems. Immigration is one of the clearest examples of this dynamic. Many people who favour lower immigration strongly reject racism and believe their views are grounded in observation, experience, and common sense. In many cases, that is true. Concerns about housing pressure, crime, integration, public-service strain, cultural change, or rapid demographic shifts are not invented concerns. They arise from real conditions and real events. The issue is not whether these concerns exist. It is how they are interpreted. From observation to explanation Humans are exceptionally good at noticing patterns, but far less reliable when it comes to explaining them. We register changes in our communities, encounter striking news stories, and experience pressures directly in daily life. From there, it is easy to move from observation to explanation and then from explanation to broader conclusions about groups of people, often without noticing that distinct inferential steps have been compressed into a single judgement. At its core, much of the confusion in immigration debates comes from collapsing three distinct stages into one: 1. Observation: something is noticed. It could be a crime scandal, a statistical disparity, or a visible social change. 2. Explanation: a cause is proposed, perhaps culture, economics, institutions, policy, or discrimination. 3. Generalisation: a conclusion is drawn about entire groups of people. Recognising robust patterns in data is not, in itself, an error. Any serious analysis of crime, welfare use, or integration has to start from what the numbers and histories actually show. The difficulty arises when these three stages blur together, so that a pattern is treated as if it already contained its cause and its meaning. Once that happens, conclusions can feel immediate and self-evident even when they are not. Why our minds prefers simple stories There is also a deeper reason this happens. Human cognition is not optimised for statistical explanation; it is optimised for speed, salience, and narrative coherence. We are drawn to vivid, recent, and emotionally striking examples when forming judgements. This is why cognitive shortcuts such as the ‘availability heuristic’ matter: memorable cases feel more representative than they are. It is also why essentialist thinking is so persistent: the mind tends to prefer stable underlying ‘natures’ rather than multi-causal systems shaped by changing conditions. Culture is often where this simplification becomes most visible. In everyday political discussion, ‘culture’ is frequently treated as if it were a fixed or inherited trait. In reality, culture is better understood as a set of practices, norms, and expectations that can be both real and, in some respects, resistant to change, yet still shaped over time by economic conditions, institutions, incentives, and social environment. When culture is reified into something static or quasi-biological, it becomes easy to treat group differences as permanent rather than contingent. These cognitive tendencies are not signs of irrationality. They are normal human features. However, they do make simplified explanations feel more compelling than complex ones. Step 1: the observations are often real Any serious account should begin by acknowledging that many of the underlying concerns in immigration debates are not illusions. The ‘grooming-gangs’ scandals in towns such as Rotherham and Rochdale were real, and the institutional failures that allowed them to continue for years were extensively documented. Crime statistics do show over-representation of certain groups in some specific categories of offending. Some communities experience higher residential clustering, or more conservative social attitudes than the national average. Immigration can contribute to housing demand and pressure on public services when infrastructure and planning do not keep pace. Fiscal outcomes also vary significantly depending on migrants’ skills, age, and employment patterns. None of this needs to be denied or minimised. But none of it explains itself either. Recent British experience also includes a different kind of failure: in some institutions, a reluctance to confront uncomfortable patterns for fear of being seen as racist. Grooming scandals, uneven enforcement, and the treatment of some whistleblowers show how avoidance and euphemism can allow genuine harms to persist. Any argument that took these problems less than seriously would rightly be rejected. Step 2: where explanation becomes overconfident The most common reasoning error in public debate is not a simple factual mistake, but what might be called ‘inferential overreach’. A pattern is observed, and the pattern is treated as if it already contains its explanation. Yet between observation and conclusion lies explanation, and explanation is almost always multi-causal. Calling a pattern multi-causal does not mean every factor is equally important, or that culture, norms, or origin are irrelevant by definition. It means that when such factors matter, they do so alongside others, for example age structure, class, local opportunity, social networks, institutional response, and that their relative weight has to be shown rather than assumed. Crime reflects interacting factors such as age structure, deprivation, neighbourhood concentration, policing practices, education, labour-market exclusion, migration selection effects, and cultural norms. Integration outcomes reflect language acquisition, economic opportunity, geography, discrimination, and generational change. Housing pressures reflect planning systems, building rates, land constraints, infrastructure decisions, and financial incentives. Immigration interacts with all these factors but rarely determines them alone. The key issue is not whether any one factor matters, but how quickly people move from pattern to single-cause explanation. Step 3: how explanations become identities Once an explanation is chosen, it can harden into something stronger: an identity claim. A behavioural pattern becomes a cultural essence. A statistical difference becomes a statement about what a group ‘is like.’ A local issue becomes a generalised claim about ethnicity, nationality, or religion. At that point, reasoning has shifted from analysis to essentialism. This does not require anyone to use explicit racial language or to endorse biological hierarchies. It is enough that a set of outcomes is taken to reveal a stable underlying nature. This process is usually not driven by hostility. It is driven by compression: the gradual shortening of the distance between observation and conclusion until intermediate steps disappear, and explanatory mechanisms are displaced by identity categories. Case study: crime and interpretation Crime statistics illustrate this clearly. It is true that some groups are over-represented in some categories of offending. It is also true that crime is unevenly distributed across geography, age, and socioeconomic status, and that some of these patterns have proved stubborn over time in particular places. But what follows from that is not straightforward. The same pattern can emerge from multiple overlapping causes: demographic structure, concentrated deprivation, urban settlement patterns, migration history, policing intensity, reporting differences, and indeed varying norms about violence, authority, and gender. These mechanisms can operate together, and their relative weight varies by context. Treating ‘culture’ or ‘origin’ as the entire explanation, without specifying how they interact with these other factors, is as much an oversimplification as ignoring norms altogether. A statistical pattern, on its own, is not an explanation. Integration: uneven outcomes, uncertain meanings ‘Integration’ is similarly complex. It is observable that integration proceeds at different speeds across communities and over time. Some groups show rapid convergence in language, education, and social participation. Others do so more slowly. But it does not follow that slower integration implies permanent incompatibility. Historical experience is instructive here. Groups such as Irish Catholics, Jewish communities, and various European migrant populations were, at different points in British history, the subject of intense public anxiety and frequently described in explicitly exclusionary terms. Victorian and early twentieth-century commentators often treated them as fundamentally separate or unassimilable. Over time, however, these same groups became deeply embedded in British social and civic life. The intensity of earlier panic is now often forgotten, but it illustrates how strongly integration trajectories can change across generations. Today’s patterns differ in obvious ways: source countries, migration volumes, welfare institutions, and global communications create dynamics that have no exact historical parallel. The point of these analogies is not that every group will follow the same path, but that early or mid-course difficulties are weak evidence that trajectories are fixed and unchangeable. Economics and housing: partial causes becoming total explanations Immigration can increase demand for housing and public services, particularly when population growth is rapid. In certain localities, the speed and scale of change can genuinely outstrip institutional capacity. But housing shortages in Britain also reflect long-term under-building, restrictive planning systems, infrastructure constraints, land availability, and financial dynamics in the housing market. Similarly, fiscal impacts vary widely across migrant groups and over time. Some migrants contribute significantly over the long term, particularly those in work and in skilled occupations, while others have more mixed fiscal profiles depending on employment and household structure. The analytical error occurs when immigration is treated as the dominant explanation for structural issues that have multiple independent causes, or when complex economic dynamics are compressed into moralised stories about what particular nationalities or religions ‘are like’. Why selective truth is so persuasive Misleading narratives can sometimes be powerful precisely because they are not fabricated: they are constructed from real events and real statistics, but arranged selectively. Salient examples are emphasised, while broader context, countervailing evidence, and structural complexity are downplayed. This produces a picture that feels accurate at the level of individual claims but becomes distorted at the level of overall interpretation. The practical question for any of us, whatever our starting point, is not whether we have noticed true things, but whether we are willing to ask what is missing from the picture that feels most intuitive to us: what data, counterexamples, or structural features we have quietly set aside because they do not fit the story. How racial thinking can emerge without intent Most people do not begin with racist beliefs. More commonly, they begin with genuine concerns or observations and encounter repeated explanatory frames that direct attention toward ethnicity, nationality, or religion. Over time, three shifts can occur: from individuals to groups; from variation to stereotypes; and from explanation to identity. These shifts do not require malice. They arise from repetition, cognitive bias, and the human preference for coherent easily understood narratives over complex systems. This process is reinforced by institutional and informational environments. Media systems prioritise attention-grabbing cases. Political actors amplify salient examples. Online platforms reward emotionally resonant interpretations. Together, these forces systematically favour simplified causal stories over carefully contextualised, multi-causal explanations. Scepticism and intellectual discipline Critiques of structural or institutional racism are correct to note that disparities do not automatically imply discrimination. Differences in outcomes can arise from many non-racial causes. But the reverse is also true: disparities do not automatically imply cultural deficiency or inherent group characteristics. Whether discrimination, culture, policy, or other factors are responsible is an empirical question that must be assessed case by case. Treating outcomes as multi-causal does not mean denying that, in some settings, one set of causes (such as norms, networks, or selection effects) may be especially important. It means refusing to treat a single category such as ‘origin’ or ‘culture’ as sufficient explanation on its own, without asking what else is at work and how those elements interact. A consistent standard of reasoning requires applying scepticism evenly across competing explanations rather than selectively. Recent history also shows that silence and euphemism can sometimes be as harmful as overstatement. The aim is not to return to a culture of denial, but to describe problems plainly and then resist the temptation to convert them into stories about fixed group nature. Data and policy inference None of the arguments above imply that aggregate statistical patterns are irrelevant to public policy. Governments necessarily rely on population-level data when designing immigration systems, labour-market planning, and integration policy. The quality, completeness, and interpretation of that data are therefore central to effective decision-making. It is both legitimate and unavoidable to consider differences in outcomes when making decisions about selection criteria, skills requirements, or institutional capacity. The distinction to draw is not between ‘using data’ and ‘ignoring data.’ It is between two different kinds of inference: using statistical information to manage systems on the one hand, and on the other, treating those same patterns as evidence of fixed group characteristics, moral worth, or cultural essence. The first is a standard feature of governance and, depending on the evidence and on public priorities, may support more restrictive or more expansive policies in different domains. The second is where reasoning begins to drift into essentialism. Immigration levels, selection rules, and the pace and distribution of change are all legitimate subjects for disagreement. Applying intellectual discipline to explanation does not predetermine the policy outcome. But it does require that whatever choices are made rest on clear mechanisms rather than on stories about what whole groups of people are supposedly like. What Real Understanding Requires Immigration should be debated openly and rigorously, including its costs, benefits, and trade-offs. But it also needs to be analysed with a level of intellectual discipline that is too often missing from public discussion. A recurring mistake in this debate lies in how problems are interpreted. Human societies are complex, multi-causal systems. When that complexity is ignored, even entirely genuine concerns can be drawn toward overly confident conclusions about entire groups of people. These patterns of reasoning are not unique to any one side of the debate; they appear across political perspectives whenever vivid evidence is filtered through prior expectations. The critique of racism is therefore not only moral, but explanatory. It targets a specific shortcut in human reasoning: the tendency to flatten complex social realities into simple stories about what entire groups ‘are like’. English people or Muslims are not ‘all the same’ any more than Americans or Jewish people are. Some arguments in this space concern legitimate questions of capacity, selection, and pace. Others slide into claims about fixed group characteristics or cultural essence. It is primarily this second move that is being examined here. These patterns of compression are not confined to critics of immigration. They also arise among those who are broadly supportive of higher immigration, when vivid humanitarian cases or striking positive exemplars are treated as if they capture the whole picture. In both directions, on the left and the right, selective attention can make certain stories feel more representative, ‘more true’, than they actually are. The shortcut being criticised here begins with observations that are real, but not yet fully understood. This dynamic is reinforced by the wider information environment. Even after correcting for these reasoning errors, reasonable people can still disagree about the acceptable level and pace of immigration, because they differ in values, priorities, and risk tolerances. The aim is not to abolish disagreement, but to improve the quality of judgement on which disagreement is based. At its core, the argument is straightforward: real problems do not, by themselves, disclose simple truths about what whole groups of people are like. The critique of racism here targets the leap from genuine observations to fixed stories about group character and cultural essence. It is in that leap (from facts that are real but incomplete, to identities that are treated as settled) that reasoning goes most dangerously astray. The shortcut in question does not necessarily begin with falsehoods. It often begins with partial truths, treated as settled judgements about who people are.

‘How Real Problems Become Racial Explanations: Why Immigration Debates Go Wrong’ Racism is commonly understood as prejudice, discrimination, or hostility directed at people because of their race, ethnicity, or perceived racial characteristics. Most people recognise overt racism when they see it: slurs, exclusion, violence, or claims that some groups are inherently superior or inferior to others. Most British people abhor racism. In contemporary Britain, however, the more consequential forms of racial thinking rarely begin in these explicit ways. They tend to emerge indirectly, through the attempt to explain real and visible social problems. Immigration is one of the clearest examples of this dynamic. Many people who favour lower immigration strongly reject racism and believe their views are grounded in observation, experience, and common sense. In many cases, that is true. Concerns about housing pressure, crime, integration, public-service strain, cultural change, or rapid demographic shifts are not invented concerns. They arise from real conditions and real events. The issue is not whether these concerns exist. It is how they are interpreted. From observation to explanation Humans are exceptionally good at noticing patterns, but far less reliable when it comes to explaining them. We register changes in our communities, encounter striking news stories, and experience pressures directly in daily life. From there, it is easy to move from observation to explanation and then from explanation to broader conclusions about groups of people, often without noticing that distinct inferential steps have been compressed into a single judgement. At its core, much of the confusion in immigration debates comes from collapsing three distinct stages into one: 1. Observation: something is noticed. It could be a crime scandal, a statistical disparity, or a visible social change. 2. Explanation: a cause is proposed, perhaps culture, economics, institutions, policy, or discrimination. 3. Generalisation: a conclusion is drawn about entire groups of people. Recognising robust patterns in data is not, in itself, an error. Any serious analysis of crime, welfare use, or integration has to start from what the numbers and histories actually show. The difficulty arises when these three stages blur together, so that a pattern is treated as if it already contained its cause and its meaning. Once that happens, conclusions can feel immediate and self-evident even when they are not. Why our minds prefers simple stories There is also a deeper reason this happens. Human cognition is not optimised for statistical explanation; it is optimised for speed, salience, and narrative coherence. We are drawn to vivid, recent, and emotionally striking examples when forming judgements. This is why cognitive shortcuts such as the ‘availability heuristic’ matter: memorable cases feel more representative than they are. It is also why essentialist thinking is so persistent: the mind tends to prefer stable underlying ‘natures’ rather than multi-causal systems shaped by changing conditions. Culture is often where this simplification becomes most visible. In everyday political discussion, ‘culture’ is frequently treated as if it were a fixed or inherited trait. In reality, culture is better understood as a set of practices, norms, and expectations that can be both real and, in some respects, resistant to change, yet still shaped over time by economic conditions, institutions, incentives, and social environment. When culture is reified into something static or quasi-biological, it becomes easy to treat group differences as permanent rather than contingent. These cognitive tendencies are not signs of irrationality. They are normal human features. However, they do make simplified explanations feel more compelling than complex ones. Step 1: the observations are often real Any serious account should begin by acknowledging that many of the underlying concerns in immigration debates are not illusions. The ‘grooming-gangs’ scandals in towns such as Rotherham and Rochdale were real, and the institutional failures that allowed them to continue for years were extensively documented. Crime statistics do show over-representation of certain groups in some specific categories of offending. Some communities experience higher residential clustering, or more conservative social attitudes than the national average. Immigration can contribute to housing demand and pressure on public services when infrastructure and planning do not keep pace. Fiscal outcomes also vary significantly depending on migrants’ skills, age, and employment patterns. None of this needs to be denied or minimised. But none of it explains itself either. Recent British experience also includes a different kind of failure: in some institutions, a reluctance to confront uncomfortable patterns for fear of being seen as racist. Grooming scandals, uneven enforcement, and the treatment of some whistleblowers show how avoidance and euphemism can allow genuine harms to persist. Any argument that took these problems less than seriously would rightly be rejected. Step 2: where explanation becomes overconfident The most common reasoning error in public debate is not a simple factual mistake, but what might be called ‘inferential overreach’. A pattern is observed, and the pattern is treated as if it already contains its explanation. Yet between observation and conclusion lies explanation, and explanation is almost always multi-causal. Calling a pattern multi-causal does not mean every factor is equally important, or that culture, norms, or origin are irrelevant by definition. It means that when such factors matter, they do so alongside others, for example age structure, class, local opportunity, social networks, institutional response, and that their relative weight has to be shown rather than assumed. Crime reflects interacting factors such as age structure, deprivation, neighbourhood concentration, policing practices, education, labour-market exclusion, migration selection effects, and cultural norms. Integration outcomes reflect language acquisition, economic opportunity, geography, discrimination, and generational change. Housing pressures reflect planning systems, building rates, land constraints, infrastructure decisions, and financial incentives. Immigration interacts with all these factors but rarely determines them alone. The key issue is not whether any one factor matters, but how quickly people move from pattern to single-cause explanation. Step 3: how explanations become identities Once an explanation is chosen, it can harden into something stronger: an identity claim. A behavioural pattern becomes a cultural essence. A statistical difference becomes a statement about what a group ‘is like.’ A local issue becomes a generalised claim about ethnicity, nationality, or religion. At that point, reasoning has shifted from analysis to essentialism. This does not require anyone to use explicit racial language or to endorse biological hierarchies. It is enough that a set of outcomes is taken to reveal a stable underlying nature. This process is usually not driven by hostility. It is driven by compression: the gradual shortening of the distance between observation and conclusion until intermediate steps disappear, and explanatory mechanisms are displaced by identity categories. Case study: crime and interpretation Crime statistics illustrate this clearly. It is true that some groups are over-represented in some categories of offending. It is also true that crime is unevenly distributed across geography, age, and socioeconomic status, and that some of these patterns have proved stubborn over time in particular places. But what follows from that is not straightforward. The same pattern can emerge from multiple overlapping causes: demographic structure, concentrated deprivation, urban settlement patterns, migration history, policing intensity, reporting differences, and indeed varying norms about violence, authority, and gender. These mechanisms can operate together, and their relative weight varies by context. Treating ‘culture’ or ‘origin’ as the entire explanation, without specifying how they interact with these other factors, is as much an oversimplification as ignoring norms altogether. A statistical pattern, on its own, is not an explanation. Integration: uneven outcomes, uncertain meanings ‘Integration’ is similarly complex. It is observable that integration proceeds at different speeds across communities and over time. Some groups show rapid convergence in language, education, and social participation. Others do so more slowly. But it does not follow that slower integration implies permanent incompatibility. Historical experience is instructive here. Groups such as Irish Catholics, Jewish communities, and various European migrant populations were, at different points in British history, the subject of intense public anxiety and frequently described in explicitly exclusionary terms. Victorian and early twentieth-century commentators often treated them as fundamentally separate or unassimilable. Over time, however, these same groups became deeply embedded in British social and civic life. The intensity of earlier panic is now often forgotten, but it illustrates how strongly integration trajectories can change across generations. Today’s patterns differ in obvious ways: source countries, migration volumes, welfare institutions, and global communications create dynamics that have no exact historical parallel. The point of these analogies is not that every group will follow the same path, but that early or mid-course difficulties are weak evidence that trajectories are fixed and unchangeable. Economics and housing: partial causes becoming total explanations Immigration can increase demand for housing and public services, particularly when population growth is rapid. In certain localities, the speed and scale of change can genuinely outstrip institutional capacity. But housing shortages in Britain also reflect long-term under-building, restrictive planning systems, infrastructure constraints, land availability, and financial dynamics in the housing market. Similarly, fiscal impacts vary widely across migrant groups and over time. Some migrants contribute significantly over the long term, particularly those in work and in skilled occupations, while others have more mixed fiscal profiles depending on employment and household structure. The analytical error occurs when immigration is treated as the dominant explanation for structural issues that have multiple independent causes, or when complex economic dynamics are compressed into moralised stories about what particular nationalities or religions ‘are like’. Why selective truth is so persuasive Misleading narratives can sometimes be powerful precisely because they are not fabricated: they are constructed from real events and real statistics, but arranged selectively. Salient examples are emphasised, while broader context, countervailing evidence, and structural complexity are downplayed. This produces a picture that feels accurate at the level of individual claims but becomes distorted at the level of overall interpretation. The practical question for any of us, whatever our starting point, is not whether we have noticed true things, but whether we are willing to ask what is missing from the picture that feels most intuitive to us: what data, counterexamples, or structural features we have quietly set aside because they do not fit the story. How racial thinking can emerge without intent Most people do not begin with racist beliefs. More commonly, they begin with genuine concerns or observations and encounter repeated explanatory frames that direct attention toward ethnicity, nationality, or religion. Over time, three shifts can occur: from individuals to groups; from variation to stereotypes; and from explanation to identity. These shifts do not require malice. They arise from repetition, cognitive bias, and the human preference for coherent easily understood narratives over complex systems. This process is reinforced by institutional and informational environments. Media systems prioritise attention-grabbing cases. Political actors amplify salient examples. Online platforms reward emotionally resonant interpretations. Together, these forces systematically favour simplified causal stories over carefully contextualised, multi-causal explanations. Scepticism and intellectual discipline Critiques of structural or institutional racism are correct to note that disparities do not automatically imply discrimination. Differences in outcomes can arise from many non-racial causes. But the reverse is also true: disparities do not automatically imply cultural deficiency or inherent group characteristics. Whether discrimination, culture, policy, or other factors are responsible is an empirical question that must be assessed case by case. Treating outcomes as multi-causal does not mean denying that, in some settings, one set of causes (such as norms, networks, or selection effects) may be especially important. It means refusing to treat a single category such as ‘origin’ or ‘culture’ as sufficient explanation on its own, without asking what else is at work and how those elements interact. A consistent standard of reasoning requires applying scepticism evenly across competing explanations rather than selectively. Recent history also shows that silence and euphemism can sometimes be as harmful as overstatement. The aim is not to return to a culture of denial, but to describe problems plainly and then resist the temptation to convert them into stories about fixed group nature. Data and policy inference None of the arguments above imply that aggregate statistical patterns are irrelevant to public policy. Governments necessarily rely on population-level data when designing immigration systems, labour-market planning, and integration policy. The quality, completeness, and interpretation of that data are therefore central to effective decision-making. It is both legitimate and unavoidable to consider differences in outcomes when making decisions about selection criteria, skills requirements, or institutional capacity. The distinction to draw is not between ‘using data’ and ‘ignoring data.’ It is between two different kinds of inference: using statistical information to manage systems on the one hand, and on the other, treating those same patterns as evidence of fixed group characteristics, moral worth, or cultural essence. The first is a standard feature of governance and, depending on the evidence and on public priorities, may support more restrictive or more expansive policies in different domains. The second is where reasoning begins to drift into essentialism. Immigration levels, selection rules, and the pace and distribution of change are all legitimate subjects for disagreement. Applying intellectual discipline to explanation does not predetermine the policy outcome. But it does require that whatever choices are made rest on clear mechanisms rather than on stories about what whole groups of people are supposedly like. What Real Understanding Requires Immigration should be debated openly and rigorously, including its costs, benefits, and trade-offs. But it also needs to be analysed with a level of intellectual discipline that is too often missing from public discussion. A recurring mistake in this debate lies in how problems are interpreted. Human societies are complex, multi-causal systems. When that complexity is ignored, even entirely genuine concerns can be drawn toward overly confident conclusions about entire groups of people. These patterns of reasoning are not unique to any one side of the debate; they appear across political perspectives whenever vivid evidence is filtered through prior expectations. The critique of racism is therefore not only moral, but explanatory. It targets a specific shortcut in human reasoning: the tendency to flatten complex social realities into simple stories about what entire groups ‘are like’. English people or Muslims are not ‘all the same’ any more than Americans or Jewish people are. Some arguments in this space concern legitimate questions of capacity, selection, and pace. Others slide into claims about fixed group characteristics or cultural essence. It is primarily this second move that is being examined here. These patterns of compression are not confined to critics of immigration. They also arise among those who are broadly supportive of higher immigration, when vivid humanitarian cases or striking positive exemplars are treated as if they capture the whole picture. In both directions, on the left and the right, selective attention can make certain stories feel more representative, ‘more true’, than they actually are. The shortcut being criticised here begins with observations that are real, but not yet fully understood. This dynamic is reinforced by the wider information environment. Even after correcting for these reasoning errors, reasonable people can still disagree about the acceptable level and pace of immigration, because they differ in values, priorities, and risk tolerances. The aim is not to abolish disagreement, but to improve the quality of judgement on which disagreement is based. At its core, the argument is straightforward: real problems do not, by themselves, disclose simple truths about what whole groups of people are like. The critique of racism here targets the leap from genuine observations to fixed stories about group character and cultural essence. It is in that leap (from facts that are real but incomplete, to identities that are treated as settled) that reasoning goes most dangerously astray. The shortcut in question does not necessarily begin with falsehoods. It often begins with partial truths, treated as settled judgements about who people are.

In 2018, Farage appeared on conspiracy theorist Alex Jones’s Infowars show, where Jones infamously denied the Sandy Hook school shooting. Farage did not challenge Jones’s lies and framed the bereaved parents’ lawsuits as “an attack on free speech.” theguardian.com/politics/art…

Sir Trevor Phillips will be leaving Sky News this summer to take up a new role in the US. Executive Chairman @davidgrayrhodes said: "Sir Trevor Phillips has brought audiences insightful conversations every Sunday - at Sky News we’re grateful for all that he has contributed. I know Trevor will bring the best of that to America with this exciting new opportunity. We wish him every success"

It only takes about 5 minutes of watching Fox News to understand why Trump supporters live in a completely fucking different reality than everyone else.

Elon Musk has become the first trillionaire in history.