Cartoons – We Know Zero

The AI Rush

17. October 2025 · Write a comment · Categories: Actuarial, Cartoons, Pensions, Professions

To Generation Z: a message of support from a Boomer

So you’ve worked your way through school and now university, developing the skills you were told would always be in high demand, credentialising yourself as a protection against the vagaries of the global economy. You may have serious doubts about ever being able to afford a house of your own, particularly if your area of work is very concentrated in London…

…and you resent the additional tax that your generation pays to support higher education:

*Source: https://taxpolicy.org.uk/2023/09/24/70percent/*

But you still had belief in being able to operate successfully within the graduate market.

A rational functional graduate job market should be assessing your skills and competencies against the desired attributes of those currently performing the role and making selections accordingly. That is a system both the companies and graduates can plan for.

It is very different from a Rush. The first phenomenon known as a Rush was the Californian Gold Rush of 1848-55. However the capitalist phenomenon of transforming an area to facilitate intensive production probably dates from sugar production in Madeira in the 15th century. There have been many since, but all neatly described by this Punch cartoon from 1849:

A Rush is a big deal. The Californian Gold Rush resulted in the creation of California, now the 5th largest economy in the world. But when it comes to employment, a Rush is not like an orderly jobs market. As Carlo Iacono describes, in an excellent article on the characteristics of the current AI Rush:

The railway mania of the 1840s bankrupted thousands of investors and destroyed hundreds of companies. It also left Britain with a national rail network that powered a century of industrial dominance. The fibre-optic boom of the late 1990s wiped out about $5 trillion in market value across the broader dot-com crash. It also wired the world for the internet age.

A Rush is a difficult and unpredictable place to build a career, with a lot riding on dumb luck as much as any personal characteristics you might have. There is very little you can count on in a Rush. This one is even less predictable because as Carlo also points out:

When the railway bubble burst in the 1840s, the steel tracks remained. When the fibre-optic bubble burst in 2001, the “dark fibre” buried in the ground was still there, ready to carry traffic for decades. These crashes were painful, but they left behind durable infrastructure that society could repurpose.

Whereas the 40–60% of US real GDP growth in the first half of 2025 explained by investment in AI infrastructure isn’t like that:

The core assets are GPUs with short economic half-lives: in practice, they’re depreciated over ~3–5 years, and architectures are turning over faster (Hopper to Blackwell in roughly two years). Data centres filled with current-generation chips aren’t valuable, salvageable infrastructure when the bubble bursts. They’re warehouses full of rapidly depreciating silicon.

So today’s graduates are certainly going to need resilience, but that’s just what their future employers are requiring of them. They also need to build their own support structures which are going to see them through the massive disruption which is coming whether or not the enormous bet on AI is successful or not. The battle to be centaurs, rather than reverse-centaurs, as I set out in my last post (or as Carlo Iacono describes beautifully in his discussion of the legacy of the Luddites here), requires these alliances. To stop thinking of yourselves as being in competition with each other and start thinking of yourselves as being in competition for resources with my generation.

I remember when I first realised my generation (late Boomer, just before Generation X) was now making the weather. I had just sat a 304 Pensions and Other Benefits actuarial exam in London (now SP4 – unsuccessfully as it turned out), and nipped in to a matinee of Sam Mendes’ American Beauty and watched the plastic bag scene. I was 37 at the time.

My feeling is that despite our increasingly strident efforts to do so, our generation is now deservedly losing power and is trying to hang on by making reverse centaurs of your generation as a last ditch attempt to remain in control. It is like the scene in another movie, Triangle of Sadness, where the elite are swept onto a desert island and expect the servant who is the only one with survival skills in such an environment to carry on being their servant.

Don’t fall for it. My advice to young professionals is pretty much the same as it was to actuarial students last year on the launch of chartered actuary status:

If you are planning to join a profession to make a positive difference in the world, and that is in my view the best reason to do so, then you are going to have to shake a few things up along the way.

Perhaps there is a type of business you think the world is crying out for but it doesn’t know it yet because it doesn’t exist. Start one.

Perhaps there is an obvious skill set to run alongside your professional one which most of your fellow professionals haven’t realised would turbo-charge the effectiveness of both. Acquire it.

Perhaps your company has a client who noone has taken the time to put themselves in their shoes and communicate in a way they will properly understand and value. Be that person.

Or perhaps there are existing businesses who are struggling to manage their way in changing markets and need someone who can make sense of the data which is telling them this. Be that person.

All why remaining grounded in which ever community you have chosen for yourself. Be the member of your organisation or community who makes it better by being there.

None of these are reverse centaur positions. Don’t settle for anything less. This is your time.

How Not To Be A Reverse-Centaur

08. October 2025 · Write a comment · Categories: Actuarial, Cartoons, Economics, Professions, Regulation, Science Fiction

In 2017, I was rather excitedly reporting about ideas which were new to me at the time regarding how technology or, as Richard and Daniel Susskind referred to it in The Future of the Professions, “increasingly capable machines” were going to affect professional work. I concluded that piece as follows:

The actuarial profession and the higher education sector therefore need each other. We need to develop actuaries of the future coming into your firms to have:

great team working skills
highly developed presentation skills, both in writing and in speech
strong IT skills
clarity about why they are there and the desire to use their skills to solve problems

All within a system which is possible to regulate in a meaningful way. Developing such people for the actuarial profession will need to be a priority in the next few years.

While all of those things are clearly still needed, it is becoming increasingly clear to me now that they will not be enough to secure a job as industry leaders double down.

*Source: https://www.ft.com/content/99b6acb7-a079-4f57-a7bd-8317c1fbb728*

And perhaps even worse than the threat of not getting a job immediately following graduation is the threat of becoming a reverse-centaur. As Cory Doctorow explains the term:

A centaur is a human being who is assisted by a machine that does some onerous task (like transcribing 40 hours of podcasts). A reverse-centaur is a machine that is assisted by a human being, who is expected to work at the machine’s pace.

We have known about reverse-centaurs since at least Charlie Chaplin’s Modern Times in 1936.

*By Charlie Chaplin – YouTube, Public Domain, https://commons.wikimedia.org/w/index.php?curid=68516472*

Think Amazon driver or worker in a fulfillment centre, sure, but now also think of highly competitive and well-paid but still ultimately human-in-the-loop kinds of roles being responsible for AI systems designed to produce output where errors are hard to spot and therefore to stop. In the latter role you are the human scapegoat, in the phrasing of Dan Davies, “an accountability sink” or in that of Madeleine Clare Elish, a “moral crumple zone” all rolled into one. This is not where you want to be as an early career professional.

So how to avoid this outcome? Well obviously if you have other options to roles where a reverse-centaur situation is unavoidable you should take them. Questions to ask at interview to identify whether the role is irretrievably reverse-centauresque would be of the following sort:

How big a team would I be working in? (This might not identify a reverse-centaur role on its own: you might be one of a bank of reverse-centaurs all working in parallel and identified “as a team” while in reality having little interaction with each other).
What would a typical day be in the role? This should smoke it out unless the smokescreen they put up obscures it. If you don’t understand the first answer, follow up to get specifics.
Who would I report to? Get to meet them if possible. Establish whether they are technical expert in the field you will be working in. If they aren’t, that means you are!
Speak to someone who has previously held the role if possible. Although bear in mind that, if it is a true reverse-centaur role and their progress to an actual centaur role is contingent on you taking this one, they may not be completely forthcoming about all of the details.

If you have been successful in a highly competitive recruitment process, you may have a little bit of leverage before you sign the contract, so if there are aspects which you think still need clarifying, then that is the time to do so. If you recognise some reverse-centauresque elements from your questioning above, but you think the company may be amenable, then negotiate. Once you are in, you will understand a lot more about the nature of the role of course, but without threatening to leave (which is as damaging to you as an early career professional as it is to them) you may have limited negotiation options at that stage.

In order to do this successfully, self knowledge will be key. It is that point from 2017:

clarity about why they are there and the desire to use their skills to solve problems

To that word skills I would now add “capabilities” in the sense used in a wonderful essay on this subject by Carlo Iacono called Teach Judgement, Not Prompts.

You still need the skills. So, for example, if you are going into roles where AI systems are producing code, you need to have sufficiently good coding skills yourself to create a programme to check code written by the AI system. If the AI system is producing communications, your own communication skills need to go beyond producing work that communicates to an audience effectively to the next level where you understand what it is about your own communication that achieves that, what is necessary, what is unnecessary, what gets in the way of effective communication, ie all of the things that the AI system is likely to get wrong. Then you have a template against which to assess the output from an AI system, and for designing better prompts.

However specific skills and tools come and go, so you need to develop something more durable alongside them. Carlo has set out four “capabilities” as follows:

Epistemic rigour, which is being very disciplined about challenging what we actually know in any given situation. You need to be able to spot when AI output is over-confident given the evidence, or when a correlation is presented as causation. What my tutors used to refer to as “hand waving”.
Synthesis is about integrating different perspectives into an overall understanding. Making connections between seemingly unrelated areas is something AI systems are generally less good at than analysis.
Judgement is knowing what to do in a new situation, beyond obvious precedent. You get to develop judgement by making decisions under uncertainty, receiving feedback, and refining your internal models.
Cognitive sovereignty is all about maintaining your independence of thought when considering AI-generated content. Knowing when to accept AI outputs and when not to.

All of these capabilities can be developed with reflective practice, getting feedback and refining your approach. As Carlo says:

These capabilities don’t just help someone work with AI. They make someone worth augmenting in the first place.

In other words, if you can demonstrate these capabilities, companies who themselves are dealing with huge uncertainty about how much value they are getting from their AI systems and what they can safely be used for will find you an attractive and reassuring hire. Then you will be the centaur, using the increasingly capable systems to improve your own and their productivity while remaining in overall control of the process, rather than a reverse-centaur for which none of that is true.

One sure sign that you are straying into reverse-centaur territory is when a disproportionate amount of your time is spent on pattern recognition (eg basing an email/piece of coding/valuation report on an earlier email/piece of coding/valuation report dealing with a similar problem). That approach was always predicated on being able to interact with a more experienced human who understood what was involved in the task at some peer review stage. But it falls apart when there is no human to discuss the earlier piece of work with, because the human no longer works there, or a human didn’t produce the earlier piece of work. The fake it until you make it approach is not going to work in environments like these where you are more likely to fake it until you break it. And pattern recognition is something an AI system will always be able to do much better and faster than you.

Instead, question everything using the capabilities you have developed. If you are going to be put into potentially compromising situations in terms of the responsibilities you are implicitly taking on, the decisions needing to be made and the limitations of the available knowledge and assumptions on which those decisions will need to be based, then this needs to be made explicit, to yourself and the people you are working with. Clarity will help the company which is trying to use these new tools in a responsible way as much as it helps you. Learning is going to be happening for them as much as it is for you here in this new landscape.

And if the company doesn’t want to have these discussions or allow you to hamper the “efficiency” of their processes by trying to regulate them effectively? Then you should leave as soon as you possibly can professionally and certainly before you become their moral crumple zone. No job is worth the loss of your professional reputation at the start of your career – these are the risks companies used to protect their senior people of the future from, and companies that are not doing this are clearly not thinking about the future at all. Which is likely to mean that they won’t have one.

To return to Cory Doctorow:

Science fiction’s superpower isn’t thinking up new technologies – it’s thinking up new social arrangements for technology. What the gadget does is nowhere near as important as who the gadget does it for and who it does it to.

You are going to have to be the generation who works these things out first for these new AI tools. And you will be reshaping the industrial landscape for future generations by doing so.

And the job of the university and further education sectors will increasingly be to equip you with both the skills and the capabilities to manage this process, whatever your course title.

Time to leave Flatland?

26. September 2025 · Write a comment · Categories: Cartoons, Economics, Media & Politics, Professions, Science Fiction

*Source: https://pluspng.com/img-png/mixed-economy-png–901.png*

Just type “mixed economy graphic” into Google and you will get a lot of diagrams like this one – note that they normally have to pick out the United States for special mention. Notice the big gap between those countries – North Korea, Cuba, China and Russia – and us. It is a political statement masquerading as an economic one.

This same line is used to describe our political options. The Political Compass added an authoritarian/libertarian axis in their 2024 election manifesto analysis but the line from left to right (described as the economic scale) is still there:

*Source: https://www.politicalcompass.org/uk2024*

So here we are on our political and economic spectrum, where tiny movements between the very clustered Reform, Conservative, Labour and Liberal Democrat positions fill our newspapers and social media comment. The Greens and, presumably if it ever gets off the ground, Your Party are seen as so far away from the cluster that they often get left out of our political discourse. It is an incredibly narrow perspective and we wonder why we are stuck on so many major societal problems.

This is where we have ended up following the “slow singularity” of the Industrial Revolution I talked about in my last post. Our politics coalesced into one gymnasts’ beam, supported by the hastily constructed Late Modern English fashioned for this purpose in the 1800s, along which we have all been dancing ever since, between the market information processors at the “right” end and the bureacratic information processors at the “left” end.

So what does it mean for this arrangement if we suddenly introduce another axis of information processing, ie the large language AI models. I am imagining something like this:

What will this mean for how countries see their economic organisation? What will it mean for our politics?

In 1884, the English theologian, Anglican priest and schoolmaster Edwin Abbott Abbott published a satirical science fiction novella called Flatland: A Romance of Many Dimensions. Abbott’s satire was about the rigidity of Victorian society, depicted as a two-dimensional world inhabited by geometric figures: women are line segments, while men are polygons with various numbers of sides. We are told the story from the viewpoint of a square, which denotes a gentleman or professional. In this world three-dimensional shapes are clearly incomprehensible, with every attempt to introduce new ideas from this extra dimension considered dangerous. Flatland is not prepared to receive “revelations from another world”, as it describes anything existing in the third dimension, which is invisible to them.

The book was not particularly well received and fell into obscurity until it was embraced by mathematicians and physicists in the early 20th century as the concept of spacetime was being developed by Poincaré, Einstein and Minkowski amongst others. And what now looks like a prophetic analysis of the limitations of the gymnasts’ beam economic and political model of the slow singularity has continued to not catch on at all.

However, much as with Brewster’s Millions, the incidence of film adaptations of Flatland give some indication of when it has come back as an idea to some extent. This tells us that it wasn’t until 1965 until someone thought it was a good idea to make a movie of Flatland and then noone else attempted it until an Italian stop-motion film in 1982. There were then two attempts in 2007, which I can’t help but think of as a comment on the developing financial crisis at the time, and a sequel based on Bolland : een roman van gekromde ruimten en uitdijend heelal (which translates as: Sphereland: A Fantasy About Curved Spaces and an Expanding Universe), a 1957 sequel to Flatland in Dutch (which didn’t get translated into English until 1965 when the first animated film came out) by Dionys Burger, in 2012.

So here we are, with a new approach to processing information and language to sit alongside the established processors of the last 200 years or more. Will it perhaps finally be time to abandon Flatland? And if we do, will it solve any of our problems or just create new ones?

The Early Career Professional and the Reverse Centaur

07. August 2025 · Write a comment · Categories: Actuarial, Cartoons, Professions, Science Fiction

In a previous post, I mentioned the “diamond model” that accountancy firms are reportedly starting to talk about. The impact so far looks pretty devastating for graduates seeking work:

And then by industry:

Meanwhile, Microsoft have recently produced a report into the occupational implications of generative AI and their top 40 vulnerable roles looks like this (look at where data scientist, mathematician and management analyst sit – all noticeably more replaceable by AI than model which caused all the headlines when Vogue did it last week):

So this looks like a process well underway rather than a theoretical one for the future. But I want to imagine a few years ahead. Imagine that this process has continued to gut what we now regard as entry level jobs and that the warning of Dario Amodei, CEO of AI company Anthropic, that half of “administrative, managerial and tech jobs for people under 30” could be gone in 5 years, has come to pass. What then?

Well this is where it gets interesting (for some excellent speculative fiction about this, the short story Human Resources and novel Service Model by Adrian Tchaikovsky will certainly give you something to think about), because there will still be a much smaller number of jobs in these roles. They will be very competitive. Perhaps we will see FBI kind of recruitment processes becoming more common for the rarified few, probably administered by the increasingly capable systems I discuss below. They will be paid a lot more. However, as Cory Doctorow describes here, the misery of being the human in the loop for an AI system designed to produce output where errors are hard to spot and therefore to stop (Doctorow calls them, “reverse centaurs”, ie humans have become the horse part) includes being the ready made scapegoat (or “moral crumple zone” or “accountability sink“) for when they are inevitably used to overreach what they are programmed for and produce something terrible. The AI system is no longer working for you as some “second brain”. You are working for it, but no company is going to blame the very expensive AI system that they have invested in when there is a convenient and easily-replaceable (remember how hard these jobs will be to get) human candidate to take the fall. And it will be assumed that people will still do these jobs, reasoning that it is the only route to highly paid and more secure jobs later, or that they will be able to retire at 40, as the aspiring Masters of the Universe (the phrase coined by Tom Wolfe in The Bonfire of the Vanities) in the City of London have been telling themselves since the 1980s, only this time surrounded by robot valets no doubt.

But a model where all the gains go to people from one, older, generation at the expense of another, younger, generation depends on there being reasonable future prospects for that younger generation or some other means of coercing them.

In their book, The Future of the Professions, Daniel and Richard Susskind talk about the grand bargain. It is a form of contract, but, as they admit:

The grand bargain has never formally been reduced to writing and signed, its terms have never been unambiguously and exhaustively articulated, and noone has actually consented expressly to the full set of rights and obligations that it seems to lay down.

Atul Gawande memorably expressed the grand bargain for the medical profession (in Better) as follows:

The public has granted us extraordinary and exclusive dispensation to administer drugs to people, even to the point of unconsciousness, to cut them open, to do what would otherwise be considered assault, because we do so on their behalf – to save their lives and provide them comfort.

The Susskinds questioned (in 2015) whether this grand bargain could survive a future of “increasingly capable systems” and suggested a future when all 7 of the following models were in use:

The traditional model, ie the grand bargain as it works now. Human professionals providing their services face-to-face on a time-cost basis.
The networked experts model. Specialists work together via online networks. BetterDoctor would be an example of this.
The para-professional model. The para-professional has had less training than the traditional professional but is equipped by their training and support systems to deliver work independently within agreed limits. The medical profession’s battle with this model has recently given rise to the Leng Review.
The knowledge engineering model. A system is made available to users, including a database of specialist knowledge and the modelling of specialist expertise based on experience in a form that makes it accessible to users. Think tax return preparation software or medical self-diagnosis online tools.
The communities of experience model, eg Wikipedia.
The embedded knowledge model. Practical expertise built into systems or physical objects, eg intelligent buildings which have sensors and systems that test and regulate the internal environment of a building.
The machine-generated model. Here practical expertise is originated by machines rather than by people. This book was written in 2015 so the authors did not know about large language models then, but these would be an obvious example.

What all of these alternative models had in common of course was the potential to no longer need the future traditional model professional.

There is another contract which has never been written down: that between the young and the old in society. Companies are jumping the gun on how the grand bargain is likely to be re-framed and adopting systems before all of the evidence is in. As Doctorow said in March (ostensibly about Musk’s DOGE when it was in full firing mode):

AI can’t do your job, but an AI salesman (Elon Musk) can convince your boss (the USA) to fire you and replace you (a federal worker) with a chatbot that can’t do your job

What strikes me is that the boss in question is generally at least 55. As one consultancy has noted:

Notably, the youngest Baby Boomers turned 60 in 2024—the average age of senior leadership in the UK, particularly for non-executive directors. Executive board directors tend to be slightly younger, averaging around 55.

Assume there was some kind of written contract between young and old that gave the older generation the responsibility to be custodian of all of the benefits of living in a civilised society while they were in positions of power so that life was at least as good for the younger generation when they succeeded them.

Every time a Baby Boomer argues that the state pension age increases because “we” cannot afford it, he or she is arguing both for the worker who will then be paying for his or her pension to continue to do so and that they should accept a delay in when they will get their quid pro quo, with no risk that the changes will be applied to the Boomer as all changes are flagged many years in advance. That contract would clearly be in breach. Every Boomer graduate from more than 35 years ago who argues for the cost of student loans to increase when they never paid for theirs would break such a contract. Every Boomer homeowner who argues against any measure which might moderate the house price inflation which they benefit from in increased equity would break such a contract. And of course any such contract worth its name would require strenuous efforts to limit climate change.

And a Boomer who removes a graduate job to temporarily support their share price (so-called rightsizing) in favour of a necessarily not-yet-fully-tested (by which I mean more than testing the software but also all of the complicated network of relationships required to make any business operate successfully) system then the impact of that temporary inflation of the share price on executive bonuses is being valued much more highly than both the future of the business and of the generation that will be needed to run it.

This is not embracing the future so much as selling a futures contract before setting fire to the actual future. And that is not a contract so much as an abusive relationship between the generations.

Humpty Dumpty and the Terrorism Act

07. July 2025 · Write a comment · Categories: Birmingham, Cartoons, Legal, Media & Politics

*Illustration of Humpty Dumpty from Through the Looking Glass, by John Tenniel, 1871.*

“When I use a word,’ Humpty Dumpty said in rather a scornful tone, ‘it means just what I choose it to mean — neither more nor less.’

’The question is,’ said Alice, ‘whether you can make words mean so many different things.’

’The question is,’ said Humpty Dumpty, ‘which is to be master — that’s all.”

This is the country we are now living in. Because 4 members of a group sprayed red paint on some aircraft and caused some damaged using crowbars at an Oxfordshire base, as part of a series of protests designed to end international support for Israel’s war in Gaza for which they have all been arrested and charged, the whole organisation has been “proscribed” following a vote of 385 votes to 26 in the House of Commons and the order subsequently signed by the Home Secretary, Yvette Cooper, putting it on a par with organisations like ISIS (a full list of the 81 organisations proscribed under the Terrorism Act 2000 and the 14 Northern Ireland organisations proscribed under previous legislation can be found here).

Proscription makes it a criminal offence to:

belong, or profess to belong, to a proscribed organisation in the UK or overseas (section 11 of the act)
invite support for a proscribed organisation (the support invited need not be material support, such as the provision of money or other property, and can also include moral support or approval) (section 12(1))
express an opinion or belief that is supportive of a proscribed organisation, reckless as to whether a person to whom the expression is directed will be encouraged to support a proscribed organisation (section 12(1A)) – this one was added by the Counter Terrorism and Border Security Act 2019.
arrange, manage or assist in arranging or managing a meeting in the knowledge that the meeting is to support or further the activities of a proscribed organisation, or is to be addressed by a person who belongs or professes to belong to a proscribed organisation (section 12(2)); or to address a meeting if the purpose of the address is to encourage support for, or further the activities of, a proscribed organisation (section 12(3))
wear clothing or carry or display articles in public in such a way or in such circumstances as to arouse reasonable suspicion that the individual is a member or supporter of a proscribed organisation (section 13)
publish an image of an item of clothing or other article, such as a flag or logo, in the same circumstances (section 13(1A)) this one was also added by the Counter Terrorism and Border Security Act 2019.

References are to sections of the Terrorism Act 2000.

In order to be proscribed, the Terrorism Act states that an organisation must have:

committed or participated in acts of terrorism;
prepared for terrorism;
promoted or encouraged terrorism (including the unlawful glorification of terrorism); or
be otherwise concerned in terrorism.

And terrorism is defined as:

the use or threat of action which: involves serious violence against a person; involves serious damage to property; endangers a person’s life (other than that of the person committing the act); creates a serious risk to the health or safety of the public or section of the public or is designed seriously to interfere with or seriously to disrupt an electronic system.

The use or threat of such action must be designed to influence the government or an international governmental organisation or to intimidate the public or a section of the public, and must be undertaken for the purpose of advancing a political, religious, racial or ideological cause.

As a consequence, 29 people were arrested under terrorism legislation for protesting about the proscription, including an 83 year old retired priest, arrested after appearing to be in possession of a placard. I assume it was the one shown here.

The organisation’s website now displays the following message:

Co-founder of Palestine Action Huda Ammori is seeking to bring a legal challenge against the Home Office with a hearing for permission to bring a judicial review set to take place during the week of 21 July. Meanwhile a new group has suddenly appeared, armed with a fresh supply of red paint and targetting Time Logistics (which they say supplied one of Israel’s biggest weapons companies) lorries near Birmingham.

And the name of the new group? Yvette Cooper.

Happy New Year!

03. January 2025 · Write a comment · Categories: Cartoons, Economics, Professions, Risk, Science Fiction

Happy new year to everyone who reads this blog! I am planning for there to be quite a lot more activity here in 2025, moving from an average of one article a month to at least weekly. There should be more cartoons too – Pinhead and Spikes even made it to our Christmas cake this year.

There is a lot I want to write about this year. Expect some or all of the following themes in the next few months (in no particular order):

Some examples using Steve Keen’s Ravel software to demonstrate how Government debt is not the constraint they think it is.
Extending Naomi Alderman’s argument in The Future that we could get rid of the Tech Bros and not miss them, effectively upending Ayn Rand’s ideas in Atlas Shrugged. They are not key workers.
Keynes’ argument that, with the future so uncertain, we should not sacrifice people in the present to our models of it.
Spiegelhalter on the four types of luck, which cuts away at the meritocracy argument for distributing wealth.
How the professions have become a way of solidifying and enabling the massively uneven distribution we see. Have they outgrown their usefulness in their current form, just like the guilds did?
How the choice for providing public goods appears to boil down to public ownership or private monopoly – with accompanying Technofeudalism replacing capitalism. Why are we so much more relaxed about private monopolies than we were 100 years ago, when it accelerates inequalities so much?
The relationship between worldbuilding in science fiction and people living in their own models in the policy making world. Great example of this just this morning in the FT.

So plenty to do. If this sounds interesting to you, please stick with the blog, which will not be going to Substack and will not be charging a subscription. If it sounds really interesting to you, tell a friend! Will be in touch again soon.

Deadmeat was overshot

18. December 2024 · Write a comment · Categories: Actuarial, Cartoons, Climate Change, Economics, Regulation, Science Fiction

Picture of Pinhead character wearing a Deadpool type mask made out of one of his ties

Imagine a super-hero who could not be killed. No I don’t mean Deadpool. A more apt name for our super-hero would be Deadmeat. Deadmeat is empirically dead, but, rather like the Monty Python parrot, is being energetically kept alive by the pretence of its continued existence amongst all of those around it. So much so that it becomes impolite to expose the pretence and point out that Deadmeat is in fact dead. If you really push, and someone likes you enough to want to give you an explanation, you will have a hand put on your shoulder and be led away to a corner to have the pretence explained to you. What that explanation turns out to be is something like this. Deadmeat is of course the Paris climate agreement from 2015 which committed 193 countries plus the EU to “pursue efforts” to limit global temperature rises to 1.5C, and to keep them “well below” 2.0C above those recorded in pre-industrial times.

Deadmeat, it turns out, wasn’t shot. Deadmeat was overshot. Under overshoot, we bring the terrible thing back under control after it has done the damage and hope we can fix the damage at a later date. It’s a bit like the belief in cryopreservation or uploading our brains into cyberspace in the hope that we can have our bodies fixed with future medicine or be provided with artificial bodies. It means relying on science fiction to save us.

Andreas Malm and Wim Carton have considered this approach and how we got here in their latest book Overshoot. For me there are two big ideas in this book, although the account of how things definitively got away from us immediately post pandemic and exactly how that played out is mesmerising too. I thoroughly recommend a read.

The first big idea is the problem with the justification for overshoot in the first place, which is that at some point in the future we will be so much richer and more technologically advanced that it will be much easier to bring carbon dioxide levels down to sustainable levels than to try and stay within sustainable levels now. In what they call “The Contradiction of the Last Moment” Malm and Carton show how an intense fresh round of fossil fuel investment is almost certain to occur close to a temperature deadline (ie fossil fuel companies rushing to build more infrastructure while it is still allowed), whether it is 1.5 or 2 degrees or something higher. Then, as they put it “the interest in missing it will be overwhelmingly strong”. If an investment is 40 or 50 years old, then it might not be so disastrous to have it retired, but if a fossil fuel company has invested billions in the last few years in it? They will fight tooth and nail to keep it open and producing. And by prolonging the time until the retirement of fossil fuel infrastructure, the capital which has used the time to entrench its position and now owns a thousand new plants rather than a few hundred will be in a much stronger position to dictate policy. The longer we leave it, they argue, the harder it will become to retire fossil fuels, not easier.

The second big idea explains why, despite the enormous price collapse of solar power in particular, there is no Big Solar to compete with Big Oil. As they put it “there was no Microsoft or Apple or Facebook. More broadly, there was no Boulton & Watt of the flow, no Edison Machine Works, no Ford factories, no ascendant clusters of capital accumulation riding this wave.” The only remotely comparable company would be Tesla, but they produced cars. Why is this?

Malm and Carton talk about “the scissor”, the difference between the stock of the fossil fuel industry and the flow of renewable power. Fossil fuel’s “highly rivalrous goods: the consumption of one barrel of oil or one wagon-load of coal means that no one can ever consume it again. Every piece of fossil fuel burns once and once only. But supplies of sunlight and wind are in no way affected by any one consumer’s use.”

And this is the key I think. What economists call “public goods”, goods which are non-rivalrous (ie your use of the sun’s energy does not stop somebody else’s unless you put them in the shade) and non-excludable (ie you cannot easily stop someone else from using it, in this case by sticking a solar panel on their roof), are very difficult if not impossible to make a profit from. Private markets will therefore not provide these goods, possibly at all without extremely artificial regulation (something we have probably had enough of with our utilities in the UK) and certainly not in the quantity that will be required.

In Postcapitalism, Paul Mason discussed the options when the price mechanism disappears and additional units of output cannot be charged for. As he put it:

Technologically, we are headed for zero-price goods, unmeasurable work, an exponential takeoff in productivity and the extensive automation of physical processes. Socially, we are trapped in a world of monopolies, inefficiency, the ruins of a finance-dominated free market and a proliferation of “bullshit jobs”.

This also ties in with my own experience and others I have spoken to over the years about how hard it is to invest outside of fossil fuels and make a return.

Therefore if the private sector will not provide public goods and renewable power is predominantly a public good, then it follows that renewable power needs to be in public ownership. And if the climate crisis requires all power to be renewable and zero carbon, which it does, then it also follows that the entire power sector ultimately needs to be in public ownership too.

And then the motivation for overshoot becomes clear and how high the stakes are: not just the proceeds of the sale from one dead parrot as it turns out, but the future of private power generation. My fear is that the Deadmeat franchise may end up having as many sequels as Godzilla (38 and counting). With the potential to do rather more damage in the process.

Joe Sacco – The War on Gaza

20. September 2024 · Write a comment · Categories: Cartoons

Joe Sacco has been chronicling the moral issue of our age in a series of very powerful cartoons. If you have not come across these already there is a link to them here.

The Cartoon Gallery is now live!

19. August 2024 · Write a comment · Categories: Cartoons

I thought it was about time I collected together some of my cartoons from the last 11 years in one place, so have created a page for them which you can see here. Not sure if I am getting any better as the years go by, but rest assured that I have no intention of stopping any time soon!

Changing my social infrastructure

04. June 2024 · Write a comment · Categories: Actuarial, Cartoons, Professions

Posted on LinkedIn on 4 June 2024

This is just a quick personal note to explain the imminent end of my LinkedIn account.

LinkedIn became an important tool for me in 2014 when I became a Lecturer at the University of Leicester and Programme Director for the BSc Mathematics and Actuarial Science there: to connect with potential students and guests to the university, to link up with former students, to publicise the activities of the Leicester Actuarial Science Society and to facilitate a professional network which would be useful to our current and former students. I also posted a few articles here along the way. However I will be leaving the University of Leicester on 30 June and moving to retired status with the Institute and Faculty of Actuaries soon afterwards. Therefore the description I have given myself here (Actuary, Lecturer and Writer at the University of Leicester) will at that point become almost entirely untrue! It therefore seems like an appropriate time to wind up my account here.

According to the latest analytics, I have around 1,400 connections on LinkedIn. Thank you to everyone who has connected with me over the years, particularly if we worked together in some capacity. I have managed to work with some wonderful people over the last 10 years. A particularly big thank you to all of the students who have made the job so enjoyable during that time.

Of those 1,400 connections, over 400 of you list the University of Leicester in your profiles. If you are a current or former student, or indeed anyone who needs to be in contact with a member of the Leicester actuarial team and are currently only connected to me, you should ensure that you are connected to at least one of the following excellent colleagues of mine: Leena Sodha, Paul King or Nigel Sell. You should, in addition, as a current Leicester student, join the LinkedIn group Leicester Actuarial Science Society. If you are a former Leicester student, the group you want is Leicester Actuarial Science Society – Alumni.

I will continue to be in various actuarial WhatsApp groups for the time being and on X (@weknow0). And, if you like any part of what I write, you can always subscribe (for free!) at weknow0.co.uk. For those of you who still want to keep in touch with me by email once I have left here and my Leicester email address has been discontinued, and we have not already shared alternative contact details, please send me a message on LinkedIn (or weknow0.co.uk) and I will be in touch.

With my best wishes for the future to you all.

We Know Zero