The future has arrived, said William Gibson. It just has not happened to you yet.

The future has arrived, said William Gibson. It just has not happened to you yet. Count yourself lucky. Participating in discussions on the future of policing gives me a chance to think about the role of futurology in social science. Futurology often shows up in a way that gives it a bad name. It is always wrong, except for my go at it, which you should definitely listen to. Breathless predictions of the coming of network societies, freedom from the bonds of the real, and unlikely tech innovations merge together in a techno-libertarian monster. They flounder in the face of humanity’s limitless ability to screw it all up. There are some obvious flaws in these visions which I still need to point out: they assume change is driven by technology as an independent force, rather than human interests. It is a damn sight easier to change the past than the future. They read from ideal world relations to real world uses. The lol-worthy elements of this should not detain us for long. Instead let us look at what predictions have already come about, using our first trick – the old is the new thing:

We already have driverless cars. They are called ‘metros’ and ‘railways’.

We already have nuclear fusion. It is called the sun. And also ‘global thermonuclear war’.

England had a social network operating since 1516, called ‘The Royal Mail’. And since the late 19th century, ‘Have you called your mother recently?’.

We definitely already have killer robots operating in the battlefield.

I am dipping into futurology because I am examining the future of digital drug markets.

The second trick is to predict the past. Let us start from the past, usually a good, predictable place. 10-15 years ago most people buying drugs would do it from a known contact, arranged by telephone, handing over cash in person. Now a deal typically is arranged by social media, sometimes through the open web or darknet, dropped by delivery and paid for electronically, including by cryptocurrency. The drugs being bought would often be the big 6, heroin, cocaine, ecstasy, LSD, amphetamines and cannabis. Now the classic illegal drugs mix with pharmaceuticals, enhancement and lifestyle drugs, and a vast array of novel psychoactives. 

Let us draw some generalisable conclusions:

  • There is no direct correlation between economic development and digitisation of the drug market. The darknet is much more prevalent in Russia than the West for example. 
  • Over time, illicit labour organisation and distribution of wealth have become more like licit models
  • The digital has become embedded in everyday life so there no segment untouched by it
  • Increasingly digital operating criminals are innovative rather than reactive

Final trick, it is safe to assume some trends will gather steam. Other have inbuilt limits which we already know:

  • Some of these trends will continue, particularly innovation. The digital world is fracturing politically and nationally, for example, as alt-right alternatives to social media are launched. Criminal groups are likely to take the lead or take advantage of the development of infrastructures that are independent of the tech economy mainstream.
  • Early trends we can see now will expand, particularly localisation and compartmentalisation. Drug businesses will be sold as an integrated package, including hosting, services and delivery.
  • We will see the replacement of the core/distributor model of drug business operation with one where the most successful will be ‘meta criminals’ who can license others to act on their behalf. 
  • The cryptocurrency moment is probably over as Bitcoin collapses under its own weight and blockchain analysis makes deanonymisation much more likely. Instead we will see payments through other non-cash systems.

Futurology tends towards the untestable and it is reasonable that social scientists do not like it very much.  Our role is often to burst the bubble at the Ted-talk party. However we have a number of jobs we have to do in order to serve our societies and communities. We need to be able to confidently predict the threat horizon. We should sketch out different possible developments and show how likely it is we will get there from here. We should be able to feedback and to pull the alarm about where these developments lead. We need to prepare people for future shocks and enhance societal resilience. 

Find out more at the Institute for the Future 

Pour me some of that sweet, sweet critical sauce

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A regular comment on students’ work from essays to PhD drafts is that they could improve by adopting a more critical perspective. Martin Booker explores it very effectively in his blog, Critical Turkey. He defines it as common-sense scepticism plus social science analysis. Critical thinking is at heart about developing your voice on the topic and finding what matters within it. It is evaluative, considered and objective. It minimuses what we have to take as read and maximises persuasion through argumentation. Should be simple, right?

So what can we tell students to actually do to get there? What tasks can they incorporate into their thinking? My answer is that you do this by asking questions of the topic. Robert Ennis (1993) lays out a combination of activities, abilities and stances that we look for as evidence of critical thinking: ‘1. Judge the credibility of sources. 2. Identify conclusions, reasons, and assumptions. 3. Judge the quality of an argument, including the acceptability of its reasons, assumptions, and evidence. 4. Develop and defend a position on an issue. 5. Ask appropriate clarifying questions. 6. Plan experiments and judge experimental designs 7. Define terms in a way appropriate for the context. 8. Be open-minded. 9. Try to be well informed. 10. Draw conclusions when warranted, but with caution’. These roughly divide into: develop your own position from the evidence, be aware of what you are saying and and assess claims independently of what is in front of you. Critical thinking is also traceable. Yourself and your readers can grasp why you arrived at your argument because you lay out the evidence trail that took you there.

In this post I drill down further to set out some tasks students can add to their toolkit and which show critical thinking at work.

The first set of questions/attributes are variations of ‘what is it?’.

  1. How can we categorise it. What typologies, taxonomies and distinctions apply. Are these categories coherent, consistent and logical? Who/what creates them? Where is it written? What are their limits? We often find that categories that are presented as scientifically derived turn out not to be, or are contingent, or are hybrids, or their content varies massively under the same label. Examples I deal in are: addiction, disease, money, capital, and crime, but they are endless. Often people claim to be just using common sense – ‘it just is’ – while in fact referencing a societally, historically specific and novel definition. The variable understanding of what ‘biological addiction’ as opposted to psychological habit means is one. We might think that it is obvious what it means to say grounded in biology. Yet what that means and where it is presumed to happen has changed a lot, from a kind of organic dependency to neurological  adaption. That leads us to other interesting questions about why it has changed in the way it has. The critical bit lies in not just assuming that the scientific lens changed because of some set of godlike revelations on the topic.
  2. Does it have many faces? Give things names or look at the different names given to it. Do positions on the issue have a name and what do they reflect? What is the FBI’s take on cybercrime versus the critical criminological one?
  3. Does form get mistaken for content? The FBI define the Juggalos as a gang. But plenty of groups have the same structure as gangs, but are not them. There is sometimes a wilful blindness there. Muslim self-help organisations get wrapped up with money laundering or terrorism.  Alcoholics Anonymous has the structure of a terrorist network, but it is not one.

The next set of questions are about the data and evidence on the topic.

  1. What does it look like in context. Sprinkle in some background data or statistics that give us an idea of the phenomenon you are examining. How common is this behaviour? What are the patterns? This will allow you to give a quick thumbnail sketch of the issue before diving into the detail.
  2. How is it lived. Get back to the people and the real lives behind the data. What is it like to live as a gangster, or in a place dominated by organised crime? Doing so adds richness and nuance.
  3. Why does the evidence look like that? Are authors making unexamined assumptions about differences and similarities? Why so? Why is the topic being mainly examined as a particular kind of problem? For example, illicit drug use as a social problem rather than an issue of consumer safety.
  4. Assess the credibility of the claims being made. Check for any assumptions or suppositions being made and check them against the research evidence.
  5. Attribute validity. A way of examining the evidence is to look at the the validity of the concepts being used by the research. For example, why one death comes to be classified as drug related, how those judgements are arrived at and what the process of attributing a death tells us about for example how risk is identified and accounted for.

The next are your set of analytical party tricks which get down further into why it looks the way it does, why it happens like this and if it helps us to think differently about it.

  1. What causes it/what is said about causes? Examine where you and others are making claims of causality or correlation and look at the evidence to support that, so you can elaborate on the causal processes you are examining. Look for the following: are the presumed causal factors the actual ones, or are there other factors involved; in what circumstances are these claims true, and to what extent is the cause univariant, or multivariant; finally, what the implications of these claims being true. This will give you a much more grounded and nuanced set of claims to work with. This is a great trick to use, as causality often implied in many documents without being explicitly examined. Consider: are there multi-causal factors to take into account, or is there another, hidden cause, at work? This helps generate hypotheses to examine and helps bring in wider sociological themes of historical change and societal development.
  2. Reduce it. We usually tell students to be wary of reduction and essentialism buy they are both fine as long as they are appropriate. Reducing the issue to its barest essences but no more allows us do other critical things like comparing across cases and between contexts.
  3. Decentre it. Globalise your perspective by decentering the West. The emergence of the BRIC economies and multiple global power centres has meant that global economic and power structures have shifted radically. This can be used to critically assess existing theoretical and empirical claims. That affects both our tendency to treat the West as a baseline, but also theories that treat the Global South as being without agency and endlessly pushed around by the US/Western Europe.
  4. Normalise it. This works especially well when studying criminal or deviant behaviour.  Can it be explained in the same way we explain normalised behaviour? For example, is illegal market activity much like the regular kind? Normalisation means not looking for a special explanation before we have looked for a general one.
  5. What is missing. Look for alternative explanations for your examples. For example, crime reporting is a big challenge. Some crimes are more likely to be reported and to end up in the data, some are not. This means that claims about the contexts in which crimes happen can be challenged.

Above all, live with it. All phenomena we study are multi-causal, multi-factorial, and have varying effects depending on where people are at. Allow yourself to live with the contradictions and uncertainties inherent in your field. Whenever you see statements guaranteeing certainty about anything, run like the wind. That includes especially those who make sweepingly certain statements about uncertainty, or non-existence. The most crippling conclusion drawn by some scholars is that because it is difficult to define something or know it, or since it is changeable and contingent, then nothing can be known about it and it does not really exist. That is not a scholarly life I want and I do not see why anyone should be paying me to say that something is impossible or undefinable. The difficulty and the uncertainty are the challenge and the fun. So get to it.

Ennis, Robert H. 1993. ‘Critical Thinking Assessment’. Theory Into Practice 32(3):179–86. doi: 10.1080/00405849309543594.

I have no idea how to argue abstractly

Photo by Renate Venaga on Unsplash

One part of the academic skillset I have always thought made you a real academic is the ability to argue in wholly abstract terms. I have no idea how to do that and I never shall. I can talk about specific cases but debating scientific progress as characterised by Kuhnian paradgims vs Popperian falsifiability – no clue really. It works in this context, it does not work in that one, is about as far as I get. Actually I do have an answer to the Kuhn v Popper debate and it is that both are wrong.

I am saying this because I usually say that everything comes down to specifics. Every question I can think of is at its heart about morality: what we value and why, and espeically what lives we value and how they can be lived. Questions about allocating health care resources at the end of life, developing genetic modification techniques, the viabilty of cryptomining,  and about a billion others, none can be successfully answered without invoking morality. It is always there no matter how much we like to pretend there is a rational, value neutral way of approaching the topic.

Whenever I pose an abstract question the only way I can work with it in my mind is to immediately connect it to what it means in relation to a specific, available choice. Accoring to finitism, all that any conceptual distinctions can refer to are finite sets of positions. The question of is it legal or not, becomes is it in the category a specific crime or not, becomes in what way is this particular act particularly illegal, which then becomes part of the whole set being referred to. See also any other distinction you care to mention. It is hilarious that anyone imagines that they can train a machine to spot disinformation. Every claim about disinformation comes down to something contingent: it’s correct but wrong to say it in that way, or it’s wrong but we were right to say it. Then again, no boundary is quite as well drawn as one that involves jail time for someone.

There is a way through which is to constantly move between the specific and the abstract in practice and pay attention to critical decisions which make sense for participants. Mackenzie (2022) outlines this when discussing the criminalisation of spoofing and the problems distinguishing it in the minds of traders from ordinary trading practice. Spoofing is the act of bidding up a trade without intent to buy. Mackenzie argued that this previously normalised activity was criminalised with little effect initially. It was felt to be impossible to prosecute outwith a case referring to broader market maniuplation. It became actively criminlised following the financial crash, and after the first jailing markets suddenly became very good at spotting and punishing an activity they had previously claimed was impossible to identify. Presumably traders also managed to toe this line effectively when they saw what was on the other side of it. Arnoldi (2016) suggests a shift in the technical materiality of markets was critical to the sudden spate of spoof-shaming. Algorithms had to be protected in the name of the intergrity of the whole market. Today’s tip is to pay attention to each decision being taken as one of a chain of decisions that is always addressing that central question: what matters in life, and how can it be lived.

Arnoldi, J. (2016). Computer algorithms, market manipulation and the institutionalization of high frequency trading. Theory, Culture & Society, 33(1), 29–52.
MacKenzie, Donald. 2022. ‘Spoofing: Law, Materiality and Boundary Work in Futures Trading’. Economy and Society51(1):1–22. doi: 10.1080/03085147.2022.1987753.

Writing tips

Social science writing is a set of conventions or styles. These conventions can be used to create distance on the subject, the impression of an objective standpoint, or to get close in and give the reader a sense of what it is really like to be there. You can learn these conventions and use them where suitable in order to strengthen your writing. 

  1. Learn to use paragraphs. A good technique is to look at each paragraph as a whole and divide it into topic – body – tokens – wrap, as described by Patrick Dunleavy in the LSE’s Writing for Research blog https://blogs.lse.ac.uk/writingforresearch/2017/07/17/how-to-write-paragraphs-in-research-texts-articles-books-and-phds. This helps you allocate sentences to the right bits and shorten them, so you wouldn’t have a sentence doing all 4 functions.
  2. Look at two papers/books that describe the same problem in two completely different ways. There’s no single way of writing facts. It appears as if there is because the sources we use (e.g. newspapers, blogs) basically copy each other. Most news reports just write up an Associated Press wire so they all look the same. Not because they’ve all independently arrived at the same framing of the situation. Likewise, the reason a lot of academics write about the same topic in the same way is that we confer and also are a little bit conformist. That’s not necessarily a bad thing but there are times when the first book or article in a field gets to set how it is framed for decades without anyone questioning it.
  3. Read a public document (e.g. from an NGO, government, university strategy etc) and count up the clichés (‘as this report makes abundantly clear’ and such). Note at what points the document ceases to use cliché. Why is that? Is it because those are the parts that matter? Compare the way that document is produced to how we produce research writing.
  4. There are more original things to be said than there are original questions to ask. The four basic questions of science and social science are: what is this? Why is it like that? What effect does it have on others? Can it be different? Say who/what is doing what to whom, and why. What’s real, and what’s not? What matters, and what just appears to?
  5. Don’t homogenise differing points of view
  6. Use the active voice. It’s often said that academic writing uses the passive voice too much but that’s not the problem, the problem is the lack of any subject. Stuff just happens, apparently.
  7. Don’t say what you’re going to say, but do say why you are saying it. This goes against Becker’s advice to map your writing and goes to show there’s no one way of advising people about writing either. If in doubt choose Becker.
  8. Edit other people’s work and let them edit yours. Don’t just ignore comments. One of the biggest frustrations I have is when I give comments on someone’s work and the next version I see there is no evidence of me having said anything about it. If you have addressed it say how. If you haven’t addressed it, say why. Feedback is a dialogue.
  9. Don’t write deferentially e.g. saying ‘I think’ (I do this far too much). It’s the most useless phrase in the language. Of course you thought it when you wrote it. It’s one of a class of phrases that are purely there to cover us if someone takes issue with what we said or wrote. It implies that others are more important in the conversation than you. Do write with due deference to others who have gone before though.
  10. Progress is when writing is more effective, not longer.
  11. Imagine yourself in the world you are writing about. Tell us about it. What’s life like as a drug mule? A border guard? 
  12. Move from the abstract to the concrete and back. For example, ‘flow’ is an abstract metaphor for what is really happening on the ground with global trafficking. To get a handle on it you can look at an actual fentanyl supply chain works. Then look back to the abstract metaphor – does it still work?
  13. Try both complex writing tools (Scrivener, WordPress) and simple ones (emacs, TextEdit). Don’t be satisfied with the tools you are given. You will build your own toolbox for your purpose. You can do amazing things with Excel.

All the world is not a stage and life is not a performance

Photo by Kyle Head on Unsplash
Photo by Kyle Head on Unsplash

Okay, someone writing a crime script analysis should probably not be saying this but here we go.

One of the lightulb moments in teaching sociology is when you introduce Erving Goffman’s Presentation of Self in Everyday Life. It tells on us. In a compelling way it shows what we are like when we act in front of an imagined audience. It shows the pose of normality and agreeableness demanded by modern social life. It is immediately tangible because it feels like everyone does it – poses while waiting to meet someone in public, gives off ‘I’m not suspicous’ signals when talking out of a shop past the eletronic detector. It’s why everyone around the Queen tries to sound posher than her.

The language of drama, scripting and front/backstage is very compelling. It is a bit harder to sustain as an exciting revelation when this is not a revelation at all but an explicit feature of the technology of life. I picture a billion Insta users saying ‘well, duh! Filters!’. As with all good sociological ideas it has been generalised to within an inch of its life. There is a tendency to code everything as performance – data, sex, nations, emotions, it is all a performance. There is a constant presence of explicit impression management tools in our social media and validation of impression management in British culture. Be yourself! but the better self, with the nicer complexion y’know. That beguiles us into thinking that these practices are typical and fundamental to social life.

What do contemporary writers mean by performance? They make several implied claims that are not the same and do not in face validate each other. These are:

  1. People act into their socially defined role, beyond what is necessary to fulfil its functions.
  2. A lot of work is put into a kind of ‘demonstration of the self as suitable to this function’
  3. There is a fundamental dramaturgical structure to social life, for example, gender is only ever a performance with no ground floor in biological sex. Yes I know Judith Butler says gender is a performative in the speech-act sense but we all know they do not really mean that.
  4. Meaning that the world is a text.

Here is an example of one way performance appears a lot of the time. I have taken this from Holt and Lee’s (2021) crime script analysis of purveyors of forged documents. They do not make claims about performance, this is just a good bit of data for me. In it a vendor of counterfeit documents says: ‘After we receive your message, our support team will get in touch with you directly with all the necessary follow up and complimentary details for the transaction.’ I noticed a lot of text used in online crime transactions of this type are used to give the impression of a honed, complex professional operation at work. It is an open question how incidental these elements are to the crime script.

Whether in the case quoted by Holt and Lee that is true we do not know. Criminal operations adopt the customer care language of the service economy. In part this is grease on the wheels, which is intended to make the transaction more trustworthy in the eyes of the buyer. In part, it becomes a part of the culture: you just talk in that way because that is how it is done. As a previous generation of criminals would be adapt in the language of intimidation so the new generation of service criminals are adept at the global language of human resource management. But at its heart they still need to know how to inveigle, deceive, manipulate and sometimes bring violence to bear on a target. The right performance might help them do that, and it might have evolved as the way of doing things in that context. But it does not make sense to say that the essence of what we are looking at is a performance.

Holt, Thomas J., and Jin R. Lee. 2020. ‘A Crime Script Analysis of Counterfeit Identity Document Procurement Online’. Deviant Behavior 1–18. doi: 10.1080/01639625.2020.1825915.



The fundamental laws of crime and why I’m not a critical sociologist

Photo by Dan Meyers on Unsplash

This post was inspired by reading David Buil-Gil and Patricia Saldaña-Taboada’s article cited below. It helped crystalise my thinking about what colour of sociologist I am.

One of the fundamental insights of critical sociology or criminology is that what we are studying is a social construct. I used to be very enamoured of this as it provides a graspable critical handle on the issue. For example, we might say what matters is what we define as a crime, and how doing so affects people’s life course, how they are labelled and so on. These decisions do matter. Along with that I have come to believe that there are underlying rules which are independent of these constructions. We should not be so enamoured of our constructionist analysis that we stop trying to find or paying attention to these laws. We are often cagey about recognising them given how sensitive crime statistics are to recording and just how awful we have been as a society at recording some crimes, such as sexual violence.

Your mission, should you choose to accept it, is to decide whether you are a critical scholar – everything comes down to its construction – or a social facts kind of scholar – there are basic laws of human society. No, you cannot be both. If there are fundamental rules then all the stuff studied by critical scholars matters but is subordinate to the social facts, or socio-biological facts. That also means accepting that there are some essential qualities to social categories like ‘crime’, however wobbly and contingent any one definition of crime might be.

I am more and more convinced that sociological phenomena like crime obey some basic statistical laws which govern everything else that happens. I suspect that these processes are fundamental to the human condition. They are a basic function of how humans work, and are grounded in the mix of biology, psychology and material essences which make up the human. They shape what we encounter, and our constructions shape how we encounter it. Here we go:

1. Law of concentration. Most crime is committed by a small number of offenders.

2. Proximity rules. Crime takes place when/where it is convenient, and generally harms people who have something in common with the offender.

3. Pesistence of harm. People who are victimised once will often be victimised multiple times (See rule 1).

4. Social specialisation over time. Criminals select for criminal contacts, and their skill/division of labour increases, leading to high lock in over the criminal career.

These laws are demonstrably persistent between jurisdictions, crime types and other variations in the environment. Some of them could be explained by for example the theory of labelling and deviance amplification. The very fact of the social construction of criminal offences works against that. Offences that are ignored by society or deeply mischaracterised still respond to these rules. Now, economics on the other hand …

Another problem with the peformance take on things is it lets some of us off the hook. For example: one position in the debate on sex work takes it that there is something fundamentally dangerous and exploitative about it. The opposing view is that the only dangers emerge due to societal stigmatisation and criminalisation. The only harms are socially constructed ones. That side is also an essential claim, that sex work is just work, but it gets disguised as a critical claim and so gets a free pass on having to prove its case.

References:

Brantingham, P. L., and P. J. Brantingham. 1981. ‘Notes on the Geometry of Crime (1981)’. 26.

Buil-Gil, David, and Patricia Saldaña-Taboada. 2021. ‘Offending Concentration on the Internet: An Exploratory Analysis of Bitcoin-Related Cybercrime’. Deviant Behavior 0(0):1–18. doi: 10.1080/01639625.2021.1988760.

Hipp, John R. 2016. ‘General Theory of Spatial Crime Patterns’. Criminology 54(4):653–79. doi: 10.1111/1745-9125.12117.

Kaplan, Howard B., Steven S. Martin, and Cynthia Robbins. 1982. ‘Application of a General Theory of Deviant Behavior: Self-Derogation and Adolescent Drug Use’. Journal of Health and Social Behavior 23(4):274–94.

Glueck, Sheldon, and Eleanor T. Glueck. 1950. Unraveling Juvenile Delinquency / Sheldon and Eleanor Glueck.Cambridge, Mass: Harvard University Press.

 



What’s on my dekstop

Photo by Ving Cam on Unsplash

The best software is accessible, extensible and community supported. However because reasons we tend to end up with tools that are centralised and ‘heavy’ – they do too much, much more than you will ever need, they have high lock-in and can’t be easily adapted or customised, they are opaque in their design and their focus is decidedly not on education. It would be great if someone could revive something like Apple’s OpenDoc idea for academic documents. This is where the sciences are miles ahead of the humanities and social sciences and why I think all first year students in all disciplines need to be taught how to use R. This post is very Mac focused, though most of the software I mention is cross platform.

Apps I don’t use and probably would if I was just a bit better organised

There are loads of productive apps I try and never use. Top of the list is the To Do app/task manager. I have lots of lists of plans in many apps sitting on various devices, untouched and forgotten after the second time I used them. Also note-taking apps. I use the mac’s Notes app a bit as a scratch space, and that’s as far as it goes. Project planning apps have gone the same way as ToDos. The time spend fiddling with them did help me sort out what my preferred workflow was, what needed to go where, what had to sync with what, what could be automated, and so on. There are plenty of task mangers to give a go when you need them though and they are useful for large group projects. I really should use LibreOffice instead of Word but totally fail to.

Apps I don’t use and wouldn’t use if using them was the only way to hold the space-time continuum together

Grammarly. The Autotune of writing. Use if you never want to develop your own writing voice, and also if you like everything hyphenated. Also the app installs with start at login enabled by default and is impossible to turn off. Leibniz once said there was no pure evil in the world. Leibniz was wrong.

A certain bibliographic database manager, sounds like Bend Vote.

Siri.

Apps I do use: Research and teaching

Zotero is the best for managing your readings and retrieving articles. At the moment you need the beta version to get the full benefit of inline pdf reading/annotating and if you want to save from Safari.

There are several writing programmes that are designed around academics needs such as Scrivener for long documents and various ones for focused writing such as iA. I’ve not yet tackled the world of LaTeX.

Several qualitative coding apps exist such as Nvivo which suffers from some of the problems I mentioned earlier. Unfortunately the R QDA project seems not to be widely used and has not been update for a while now.

Web browse using Brave for ad-free browsing. Tor for privacy and the darknet.

Use Google Slides for teaching/presenting and Google Docs for collaboration. They are shareable easily most of the time but it’s not so easy when working with people in China. Plus Google mines your soul.

For communication I need a range of apps to work with folk. Telegram is reasonably secure. WeChat is needed for working with Chinese colleagues, as many systems are blocked by the Chinese state.

Lots more to try, from Discord to Ulysses.

Lovely list of writing tools here.

Utilities

Rectangle allows for easy window resizing and layering, one of the Mac’s big weaknesses – very handy when reviewing/marking. 

Popclip for text actions such as opening selected text in a particular app. You can add various functions such as ‘add quote marks’, ‘paste and match’ and randomly cHAnGe cASe for that special ransom note feel.

Alfred for search and various other actions such as url shortening. It can be used to create short text clippings which can be inserted into your writing using a quick keyboard shortcut. I use this when marking essays so I can have a record of what issues come up frequently in students’ work and which I can draw on and adapt when needed.

This is a good guide to getting the most from your mac

Backup and security

I have a Raspberry pi running as a time machine backup and general file server/WebDAV/home cloud using Nextcloud. I also have a cloud backup using a cloud provider. There’s lots of help out there for how to get the most out of a Pi. It is also very calming to troubleshoot.

I use a password manager, Bitwarden. Very handy when you register and forget it.

Finally just a note of thanks to our amazing IT support folks who cope with all the craziness we bring to them. Do what they tell you and above all RTFM.


The material matrix and the illicit biosocial economy

The end of European empires contributed to the rise of methodological nationalism. That is the set of infrastructures and habits of mind that treats each nation-state a single coherent container of a population. Global datasets like that held by the United Nations are typically aggregates of national ones so preserve this principle that the nation is a singular research unit. That has problems: it assumes internal homogeneity and coherence over external influence and cross-national dynamics. There is a danger of seeking like a state in analysis rather than seeing in terms of material relations that can span borders and might have more in common with each other than the ‘home’ state. This approach will challenge us in many ways. In sociology the standard model is pretty much one of exploitation, the powerful centre imposing homogenisation on the periphery. The standard model is out of date and misses how the periphery is itself productive, or is not even especially peripheral. I am using the concept of the matrix to capture the different arrays of forces that work to distribute commodities, people and cultures across borders.

There is a hidden history of drug trades that contributed to or were part of the rise of globalisation and the pre-eminence of Western Europe. “Psychoactive commerce” provided intoxicants in huge quantities. Drugs became commodified.  Their production ceased being for local use and became for sale, usually to another part of the globe.  Began from the colonial age onwards, when European countries began colonising other parts of the globe. This went for wine, spirits, tea, coffee, tobacco, opium and later cocaine and cannabis. Were these developments specific to narcotic globalisation or just globalisation that happened and caused narcotic trade to be globalised with it?  Historian David Courtwright’s argument is that one of the forces driving globalisation was the developing demand in modern European countries for stimulants and narcotics.  In vaguely historical order: tea, tobacco, coffee, opium, cocaine.  Narcotics were of decreasing historical importance though.  The last in this list, cocaine, relied on globalisation to come into being as a mass drug, but the demand for it in no way drove globalisation, unlike the others mentioned.

Objects have the power of embodying all kinds of relationships and dispositions, of pleasure, pathology and recovery. They can delimit, though not dictate, the terms of their use. Intoxicants mediate such issues as social class (wine), gender (sugar) and savoir-faire (absinthe). In the rhetoric of intoxication, each quality is constructed in relationship to others such that the sweetness of sugar only exists in relation to the bitterness, acidity, saltiness, sourness and umami of other substances. Material culture reproduces and affirms these social relationships which become, in part, relationships between objects. The complex back-and-forth between the drug, its cultural signification and material matrix of production and consumption constantly regenerates the materiality of intoxication within an algorithmic culture.

We now see Opium closely bound up with geopolitics. However there are many myths to the opium wars. One is that the population was addicted. However opium was commonly used in England, India and China at the time and ill effects were limited – other than some people smoking away in languor (Dikotter, Zhou and Laamann, 2006). Opium use was mostly moderate. A more subtle picture emerges than the drug being forced on China. China had a well developed intoxication culture. The 1895 Royal Commission on Opium in India also viewed opium as beneficial, a cash crop, medicine and recreational intoxicant. The standard Opium War narrative treats the world outside the West as passive and victimised.

Let us take an intoxicant focused view. In this the capacity for intoxication was enhanced by capitalism. Capitalist trade is a route for intoxication. Continuing this theme of the global transition of methamphetamine. Meth is cheaper to produce and is produced in greater volumes than ever. The market has shifted from Mexico/Northern America and the Golden Triangle to Europe, South Asian and Africa. The Asia-Pacific market estimates at $61billion. In many African countries it has displaced cannabis. As in  North America, meth occupies left-behind communities, takes the space of those marginalised by economic development.  The meth market in Africa is highly centralised and controlled, with strong cross region integration and stable pricing. The South African meth market is well established, with production moving to cheaper spots such as Nigeria/West Africa. Meth is also being smuggle from Afghanistan via Pakistan, displacing the old heroin route.

Years ago we would never have thought that buying MDMA would involve a distributed accounting ledger which is now one of the world’s major consumer of electricity and microchips. Bitcoin and the darknet cryptomarkets is one part of the emergence of a global integrated system of addicting, treating, and intoxicating selves. It goes well beyond that to agricultural innovation in the Rif, laboratory production in Afghanistan, rapid testing of new psychoactive substances in China, and the world empire of pharmaceuticals. We used to call Colombia and Afghanistan narco states: nations where the illicit economy had taken over swathes of government and policing such as to replace formal governance with shadow government by cartels. Now the narco state is a global material matrix of licit and illicit, pharma and tech companies, organised crime and criminal entrepreneurs. The material culture of intoxication is created within global flows, technoscapes and the residue of past efforts. There is no natural, herbal high here, untroubled by cultural norms, political economies and human meddling. 

Dikotter, Frank, X. Zhou, and L. Laamann. 2006. ‘’China, British Imperialism, and the Myth of the’Opium Plague”’. in Drugs and empires.

Eligh, Jason. 2021. A Synthetic Age The Evolution of Methamphetamine Markets in Eastern and Southern Africa. Geneva: Global Initiative Against Transnational Organized Crime.


Illicit markets as ontological and epistemological technologies

There’s been much referencing to techno-social hybrids and as with anything else the term can lose its specificity as it becomes used to refer to any novel combination or arrangement of technologies. Almost any technology we encounter is a combination of other systems so if we are not to just use the term to identify novelty we need to understand hybridity as a process that reaches across ontological boundaries. Markets are very effective hybridising systems that connect, automate, flatten and rationalise. Classical economics seeks to treat the market as an abstract whole, while sociology looks at how it is encountered as a material, cultural entity. There are different markets overlaying each other. There is the abstract market as a set of operating concepts. There is the material market as the connected set of different exchanges which may not be directly in touch with each other. Finally there is the material implementation of specific market contexts, whether a street market, or a darknet cryptomarket.

For a long time, researchers, policymakers and law enforcement have referred to ‘the drug market’ as a generic term for aggregated global drug production, trafficking and distribution systems. This approach is useful as it allows us to understand how disparate individuals and places are connected without an organised or cartel arrangement being at work. It cannot be left at that though as markets create and normalise effects that are specific to them. Mirroring developments in capitalist societies, I recently observed the emergence of what might be called conscious markets, where drug dealers and buyers have a distinct understanding of themselves as operating within and according to market principles – seeing themselves as and expected to behave as service providers and consumers. That has implications for drug normalisation, access, pricing, quality, product diversity and availability. There is also a growing acknowledgment of the disruptive potential of technologies – notably the digital – to transform illicit drug markets and future use patterns.

In a straightforward sense all markets involve technologies. An accounting book is a technology. Even if these are not tangible, they exist and have effects: adding and subtracting mentally is a technology, amortising debt is a technology. Technologies channel, reproduce and extend human capacities. In another sense, markets conduct specific technological functions, epistemological and ontological.

Markets work as as epistemological devices. They construct drug quality, assign value to labour and risk. They assemble knowledge from different sources and also destroy or fragment some kinds of knowledge. Epistemology shades into ontology. They define illicit drug quality in specific terms that can be measured, and as they can be measured, that becomes the definition of the object. They distributed drug testing techniques and in so doing make only those qualities ‘speakable’.

They also work as ontological devices. The growing availability of a range of drugs at the same source promotes a psychoactive repertoire. That is where users incorporate a range of substances for specific context based effects. They define some use types and users as rational consumption, and others as deviant ‘rubbish’ consumers. Defining and using debt according to these principles is a technology. Strategic pricing is another approach used by many dealers. Some maintain high prices in order to show their product as a Veblen good – reassuringly expensive. Others keep prices stable in order to maintain their client base or market position. Price therefore is another ontological entity which does not necessarily signify the harmony of supply and demand. The hybrid therefore is a system that combines different logics to create new ontological configurations. Pricing as as a data surveillance technique is a hybrid, combining market intelligence and surveillance/disciplinary logics.


Drug dealing as multi-level marketing scheme

‘I just got out of prison and asked my sister how much it would cost to start a business. She said $500. I got a grand from my husband, I bought two ounces of cooked up crack. Opened this place at one of my sister’s friend’s house … I had a little crew. About eight of us: seven women.’ Denise, in Sommers, Baskin and Fagan, 2000.

We often focus on big old scams like Bernie Madoff ‘s ponzi scheme and Enron which are clearly fraudulent, big bucks ripoffs. However it is less common to encounter major league criminality of this kind in everyday life. Normal scams are more likely to form part of the social fabric. These might be the near-pyramid scheme structures of multi level marketing businesses which promise the opportunity to integrate entrepreneurship and wealth generation into people’s day to day lives. MLMs are based on a seductive proposition: use your spare time to sell a product that virtually sells itself. Nutrition supplements, leggings, whatever they may be. MLMs target people who might be not doing too well financially but have some free time and a reasonably good family and friendship network they can sell to. As part of the sales pitch they present people who have made enormous amounts from selling the product. The MLM requires the would be agent to pay a chunk of money to buy product, which they are then required to sell. In addition – the vital ‘multi-level’ bit – they recruit people under them to also sell. They receive a cut of the sales of these ‘downline’ distributors. MLMs pre-date the gig economy by a long time though they have some elements in common in terms of the promise and the hidden costs. Their economics depend on their agents providing time and infrastructure that is costed at zero – storage and sales space, or in the case of ride hailing companies, the cost of the car.

In Sommers, Baskin and Fagan’s ethnography, Denise describes some of the elements of her business. It starts with investment capital borrowed from elsewhere, and success requires recruiting a sales team to provide a downline. Like an MLM drug dealing has some elements of the same normal scam. The myth of affluence keeps people in – the bling, the cars, the easily obtained riches. An attraction of gang membership is sometimes that gang leaders are the only people who are publicly affluent. These riches are out of reach, but tangible to foot soldiers. Even the wealthier members find that once they deduct outgoings profits are smaller than expected. For the vast majority profits are only workable by costing critical inputs at zero, such as their own time, and also discounting risk. At least selling leggings will not usually end up putting you in jail.

We live in a society which places self-reliance and self-creation at the heart of its conception of the self. The economy is meant to be defined by agility and flexibility. However these economic outcomes can only be achieved at significant hidden cost. Degradation of fixed capital, costing critical inputs at zero, and creating a radically pyramidal financial structure are deeply pathological and burn through vast resources. The normal scam is a normalised part of the structure of economic life and is at the heart of platform capitalism. It almost passes without comment that business risks are socialised or pushed onto the bottom of the pyramid, and that the labour and resources of the majority are expected to be valued at zero.

Sommers, Ira Brant, Deborah R. Baskin, and Jeffrey Fagan. 2000. Workin’ Hard for the Money: The Social and Economic Lives of Women Drug Sellers. Nova Publishers.