Human

It’s good to be able to stand on the shoulders of the outstanding people who have gone before. I’m lucky in having worked with some exceptional people in my engineering career.

That’s not the whole story. To appreciate the good, it’s necessary to experience the bad. There are a couple of people I’ve worked for, and with, who had less than admirable qualities. There’s no way that these experiences warrant the personal touch, naming names or pointing fingers. It’s only by standing back, taking time, letting water flow under the bridge that some behaviours become explainable.

Let’s face it, we are all subject to pressure, on occasions, and there are times when our reactions are not what we might have wished. That’s true of me as much as anyone. Here’s a one or two deidentified examples from the last 40-years of my work.

Hieratical management structures have inherent problems. A reports to B and B reports to C and so one. This way of working was atypical of large industrial organisations for a long time. Then the modern fashion for matrix management[1] swept in.

As a young engineer, working on a major project that involved several subcontractors, the love and terror of the Gantt Chart was familiar territory. This was especially true when key millstones involve an enormous number of components coming together at the same time.

Ever been in an important meeting where your boss throws you under the bus? Then having to pick-up, the pieces the next day. I suspect this is a common experience. The pressure of having to deliver something onetime, and to cost, and having said to the higher-ups that there were no problems, then human behaviour can become unreliable, to say the least. Naturally, after work experiences like this one, it’s easy to promise yourself that you would never do the same. Ho Ho.

Then there’s the case of the senior person who is wrong, or at least that’s what subsequent history showed, and you can’t convince them, at the time, to take a different approach. What makes this harder is knowing that they have the intellect to run rings around you, but they remain adamantly wrong. Times when, at the end of the day, you wander home grumbling like Muttley[2] the character in Wacky Races. Yes, I’ve done that after a few awkward moments.

To add a third one. A smart new boss takes over. A fresh broom with a reinstated mandate. Determine to fix all the things their seniors say needs fixing. Inevitably a period of uncertainty hangs like a mist over the whole organisation. During the first months, everyone has one question; am I part of the deadwood that needs trimming or am I part of the brave new future? My situation was of positivity, lashings of optimism and creative possibilities. Then the realisation kicks-in that this information gathering period wasn’t about renewal. It was about a person climbing the greasy pole.

I will always council against cynicism. Adopting a permanently pessimistic attitude to human behaviour is down-right foolish. Let’s hope this is confined to a few[3]. However, young people entering the world of work do need critical thinking skills, some knowledge of human behaviour and it never does any harm to add a bit of stoicism[4].


[1] https://www.indeed.com/career-advice/career-development/matrix-management

[2] https://wackyraces.fandom.com/wiki/Muttley

[3] https://hero.fandom.com/wiki/Marvin_the_Paranoid_Android

[4] https://dailystoic.com/9-core-stoic-beliefs/

Patch?

Hobbyists built it. So, how come billions are invested by the huge corporations that use it? Only a fraction of their resource was used to create it in the first place. The INTERNET is as much a wonder of the world as the pyramids. I don’t say that lightly. Today’s level of interconnection, intercommunication and interaction across the whole globe was merely speculated about 50-years ago. In historic terms that’s the blink of an eyelid.

Where we are now it’s impossible to imagine a future without the facilities that are at my fingertips. Tap out recognisable words and they can go anywhere, everywhere, or nowhere.

[That part is poor. Keyboards are where my fingertips connect with the world. Surely there will come a better way in the not-too-distant future? Evolution didn’t make us this way.]

Looking at some other major advances of civilisations, they came about in separate ways.

Long distant roads were originally military assets. Getting legions of troops from one place to another in a sprawling empire. Dominating the landscape. Reinforcing even the most remote outpost. Crossing a great distance on land has moved through several phases, waterways gave way to railways and they back to roads, as a primary means of transportation.

The telegraph was more, what I might call, can do technology. Experimentalists like Marconi put two and two together to make five. Scientific investigation provided the possibilities. He, and his like, were entrepreneurs. They saw the piece parts of technology as a business opportunity.

Aviation was more of an evolutionary advancement. A dream that the ancients held and wrote about. Slowly down the centuries theories and experimentation came together until powered flight became viable. Then decade after decade, more technical possibilities were exploited. Warfare, enterprise and adventurers have driven continuous development.

The INTERNET wasn’t seen as a commercial opportunity at its inception. It was a put together simply as a means for scientists to share their work. Maybe more than hobbyists doing the work but technicians with no master plan for world domination. They certainly were not Bond villains.

That is one possible one reason for the vulnerabilities inherent in our global electronic infrastructure. This week, the implications of those intrinsic vulnerabilities are becoming all too apparent. Embedded code that only a few experts take any notice of, that is until something bad happens. Their vital work never especially celebrated or significantly rewarded.

I don’t say it will ever happen but what if there was a practical plan for an INTERNET-2. A whole new set of protocols? An attempt to build-in integrity, expandability, and security from day one. Learning from experience.

The word “patch” is an indication of how crazy the current situation remains. It’s like that silly word “glitch.” Even the word “junk” seems quite inadequate if a crook “hacks” someone’s private account. These words make serious issues seem like minor inconveniences. Distinguishing between annoyances and harmful situations has become muddy waters.

Why is this the case? Is this the only way to communicate what’s going on.

I think it goes back to simple utility. Is the INTERNET, in its current form, so incredibly useful that society can tolerate any number of “inconveniences.” I wonder. Or will the story be like the waterways and the railways. Neither will ever go away but one will dramatically improve on the other. Push past the other. Thus, civilisation advances.

pipeline clogged up

Education policy over the last 40-years has a lot to answer for. Not at its best. Sadly, its best is only available to less than a quarter of the population. When you have classes on how to design a cereal packet taking precedence over how to cut a piece or wood or wire a plug or cook and egg or check a shopping bill then we are in ridiculous territory.

Do I jump on the bandwagon and blame Margaret Thatcher? We’ll it’s a nice conspiracy theory of politics. That said, there’s a hint of truth in the assertion. The Thatcher governments did start the drive towards a service-based economy where the importance of manufacturing industry was diminished. So, practical and vocational skills training were reshaped. They became unrecognisable. Then successive governments took money out of post 16 education.

Waking up in 2026 to a drift that started in 1986 is great, if a little late. A new education and training transformation is surely needed but is it the one that the current Prime Minister (PM) has in mind? His writings suggest that he’s a nostalgic sentiment towards vocational skills.

Former Health Secretary Alan Milburn is working on the subject. His report is expected soon. Recommendations centred on a redistribution of government funds towards employment support are likely to be on the cards.

I know it’s a repetitive complaint to make because it’s said often. Now, what schools are obliged to teach and life as it’s lived are miles apart. In fact, life as it will be lived, in the lifetime of pupils in school now. A gap, that has always been there has been encouraged to grow.

Shall I blame another Conservative politician? An admirer of the Iron Lady, Margaret Thatcher. That “ever-popular” past Brexit promoting ex-Minister. Mr Gove to be precise. Yes, that blame would be more than appropriate. Obsessions with narrow national performance statistics was misguided. Not unimportant but overly prioritised.

It’s time to urgently get more young people into places that provide opportunity and personal growth. Totally regardless of their background and the places where they grew-up.

One recent comment I’ve heard from industry is this; we’d like to take on more apprentices if we had more experienced people to mentor them at work. Not only that but the apprentice levy hasn’t kept up with inflation. Not only that but business is tough so the focus must be on the here and now, if we want to be here tomorrow. In otherwards, the recruitment pipeline is clogged up.

There’s a degree of uncertainty too. Not that this is new either. The shape of the jobs of 10-years’ time isn’t easy to plan for given the race to implement ever more advanced technology. I say that’s not new. What I may be underestimating is the pace of change.

The plus here. Young people are the digital natives. They stand a much better chance of adapting to the rapid pace of change than anyone who, like me, grew up in the analogue world.

If Burnhamism is to mean anything this problem must be cracked[1]. It’s urgent. A subject for several red boxes. For the PM to push hard on.


[1] https://www.bbc.co.uk/news/articles/cq0melgpre23o

Qualitative and Quantitative

Do I need to define these two? Yes, because they are not words that automatically come up in everyday conversation. Not even in technical conversations.

A qualitative approach to an argument deals with words, meanings, and experiences. Not so much opinions but defensible objective judgements based on best available information.

A quantitative approach to an argument deals with analysis, numbers and statistics. A scientific approach rooted in believable evidence that is reliable, repeatable, rational deduction.

In the aviation safety world, we use both. It’s my view that one is not subordinate to the other. However, the persuasiveness of one is greater than the other. At the end of the day, persuasiveness matters. If a key decision is to be predicated on an argument, then how it is constructed and presented matters a lot.

Many is the time when I have sat in a room listening to a person make a case in as elegant and enthusiastic a way that they can, but the results have been less than impressive. I’ve made the mistake myself. Coming prepared with a barrage load of sound evidence accompanied by a flaky presentation that misses the mark.

That is why the order needs to be thus. Establish a qualitative argument supported by quantitative information. Not the other way around.

In the field of aircraft system safety assessment this is vital. Probabilistic analysis is a powerful tool. Relating numbers to human experience is not so easy. So, detailed charts and logic diagrams sprinkled with numbers are unlikely to be enough on their own.

Stating an objective is met by handing over a pile of calculations is half the job. However impartial and truthful the numbers may be, arguments are not made until they are explained.

Many is the time when I have lifted a large report from my in-tray, studied it and concluded that there’s something missing in that gap between the QED and the statement of compliance.

Maybe this an element of safety regulatory psychology. It’s difficult to approve something if it becomes difficult to explain to others what’s been done. That evidence trail needs to be explainable. And easily explainable to a wide audience.

This doesn’t change with digitalisation. Replacing large piles of paper with large files of results puts the reader in the same position. Impenetrable evidence needs understandable explanation. Presenting a qualitative argument supported by quantitative information is a good way to go.

Servicing the future

Extrapolation is a dodgy game. That is to take a set of figures from past performance and then projecting them into the future. All too often, even in the world of artificial intelligence, a linear projection is deemed sufficient. Having a mass of collected data and then plotting a line that nicely fits somewhere in the middle. Assuming that there’s a value that is atypical of the accumulated data set.

It’s well accepted that predicting the future is fraught with assumptions. Real life is multidimensional and full of combinations and permutations of possibilities that are off the charts. However, everyday there is enough stability to make planning a useful activity.

There’s the phenomenon of the step change. Overnight a new law may be applicable. In the morning a new system may be switched on. In the evening, a major crash may stop transport links for hours. Events, both predicable and unpredictable throw a spanner in the works.  

Trying to predict future workforce needs based on current facts and historic trends is something every major industry must do. I say “must” accepting some struggling and pathological organisations survive on a day-to-day basis.

So, if I start with a 100 people and expect a growth of 5% each year, it’s not unreasonable to think that I might need 105 people next year. It’s surprising how often this basic calculation is presented. Same with the predicable response from a chief executive who would prefer an improvement in productivity. Deliver the same output with the same, or less, people. 

Predicting one year ahead is a must. Predicting 10-years ahead is nice. However, in certain industries where, say the products have long lives or the demand for services isn’t going away a long-term projection has meaning.

The search for productivity goes on. Digitisation has made inroads into the paper-based world of a couple of decades ago. I remember when I first held a digital camera in the office. In the mid-1990s it was a whizzy bit of kit to be loaned out on rare occasions.

Artificial intelligence, and all the technology wrapped around it, are reshaping business strategy, risk assessments and workforce planning. Everyone is seeking a competitive advantage.

This morning when I woke up, I was introduced to a new word. It was a BBC radio broadcast called: Rethink: manufacturing or services?[1] It doesn’t exactly roll off the tong. It’s servitization.

The premise is that the line between organisations manufacturing products and those who provide services isn’t a ridged one. Progressively, whatever the product, train, plane or automobile, they use masses of data not only to make but to operate. The data flows rapidly backwards and forwards between maker and operator. And lots of it too.

So, if I had to estimate the number of service engineers that would be needed in the next 10-years, I’d better be aware that their jobs are going to change dramatically. Radically.

However, overall will the numbers of people needed by an industry decrease or not? Or is it just that the nature of work will change for roughly the same overall numbers? That’s not so easy as a straight-line graph. Maybe, as productivity increases so it becomes possible to take on new tasks that previously were not viable. The performance of a product continuously improves.

I’d buy a service and not so much a product. I’ll buy 100,000 miles, not a car.


[1] https://www.bbc.co.uk/programmes/m00325dd

Stop and think

Anthropomorphism is more than the world of “Alice in Wonderland”. A talking rabbit is not the least bit strange fictional tale. Our minds happily accept this as a normal part of storytelling. The anthropomorphic qualities of an animal, or an object is not so easy to explain. But we do it all the time. That is thinking of non-human objects as human in a mystical transformative way.

A teddy bear is an object. One eye, fur, fluff and stuffing however shabby. It’s an object but the teddy bear I had when I was 6-years old is something more. It has a personality. Having travelled with me, over the decades, it’s not an object to be thrown away without a thought.

Like others, I do the same with animals. Not always. Occasionally, I go to the bottom of the garden where it adjoins a grassy field. I may talk to the cows. That’s if they are grazing up against the fence. Now, I know those Dexter cows have no idea what I’m saying but that’s unimportant.

Personal computers haven’t been in our lives as long as teddy bears and animals. From the unwieldy plastic boxes that filled our desks they have transformed into tablets, lap-tops and super smart phones. These devices can be sources of great utility or, on bad days, incredible annoyance. Fliting with both times saving or time destroying.

It’s likely that a machine’s anthropomorphic qualities come out when we are most frustrated. That instantly takes me to the scene from the BBC’s Fawlty Towers[1]. It’s a memorable comic scene. It’s Basil Fawlty’s frustration peeks when his car breaks down at the most inconvenient moment possible. He gives his car a damn good trashing. The car doesn’t flinch or runaway.

Who hasn’t sworn at a computer? I’d label you untrustworthy if you answered – never. I’ve done it more times than I can remember, as if my computer could feel my annoyance. An inanimate black box, full of integrated circuits, memory chips, circuit boards, components, connectors, and multi-coloured wires.

One aspect of computing, that I can state without fear of contradiction. They don’t care. Not one bit. How can they? Caring is a human reaction.

By the way, in 1975, Basil Fawlty’s Austin 1100 Countryman (Estate) car had negligible electronics even if it was probably the car’s electrics at the root of his overwhelming frustration.

I’ve lead you down this path because the thought I have in mind is – will AI make a difference?

We humans are highly influenced by the nature of tasks. Having to read a simple advertising slogan is a million miles from learning from a dense book packed with complex detail.

It’s easy to forget that a computer has no opinion on the tasks that it’s given. Big or small. Awkward or easy. There may be ten lines of code to execute, or a thousand or millions.

My question is – are we anthropomorphising AI? When I read some articles about the future there’s a suggestion that computer code has become like the talking rabbit. It’s more than a synthetic voice composed from trillions on electrical ones and noughts. Blind we become to the reality of billions of machine instructions being crunched. Invisible is the reality of the billions of semiconductor junctions working at unfathomable speeds.

Using jazzy description like; “super intelligence” gives machines a mythical god like status. This is way off the mark in 2026. Powerful computing is truly amazing. AI is developing at an astonishing speed. That said, it’s an exceedingly long way from being anything like us. It’s true I may not be able to say the same in 2046, but we are not there now. What we can say confidently is that nature has had a head start of billions of years. And conscious creatures are vast orders of magnitude more complex than silicon-based electronics.


[1] https://youtu.be/78b67l_yxUc

Unraveling Future Risks

Much talk of the end of times doesn’t make for the end of times[1]. It’s true to say that commentators have taken time on their keyboards to ponder on the apocalypse. It isn’t the first time the subject has occupied the public mind. I could say that the four horsemen of the apocalypse have been around since biblical times. They have, and now there’s a couple more of them riding around the globe.

In my lifetime, the atomic age, the jet age, being wiped out by bombs and a following nuclear winter was brightly coloured there on the chart of probability. Far too high up that chart. Then the Cold War ended and a period of moderate sensibility seemed to exist. That didn’t last long. Chewing over the masses of accumulated planetary climate data created another headache. This time, but at a slower pace, climate change became one of the horsemen. No doubt the popularity of apocalyptic science fiction and science reality comes from a deep insecurity. A realisation that the evolution of space and time is way beyond human control.

Playing my vinyl that’s been sitting in a box for too many years, I’m listening to one of my favourite David Bowie tracks. “Five Years[2]” is the ultimate apocalyptic disaster song. It asks the listener to imagine the News coming over that we’ve only 5-years left on Earth. What would happen in such a situation? Would we all scream and run around like chickens with no heads?

Now I must ask, is that a good lead into one or two words about Artificial Intelligence (AI)? Those working on this technology seem to be getting nervous about that technology which they have cherished, developed and promoted. Let’s first say that AI is not new. When I graduated, in the 1980s, it was one of those esoteric subjects that was only for those wanting to do a PhD in an obscure part of the world. Not more than 20-years ago, given that aviation research was part of my remit, academics lobbied me because they thought a complex neural network should be able to predict the next major accident in aviation. That is fed with enough safety data. They may have been ahead of their time.

What has surprised a lot of people is the speed with which industry has gone from academic research to live digital systems that exhibit astonishing abilities. Access wide open too.

I don’t know if there’s a Moore’s Law[3] for AI. There doesn’t need to be one. The observation is that every week there’s News of even more powerful technology being made available. The disruptors are disrupting themselves before the rest of us have a clue what’s happening. As David Bowie would sing: “my brain hurts a lot.” Here’s what I think is problematic.

One. Concentrated Ownership. This innovation, and its potential power are in the hands of few people and States. Specialised expertise and infrastructure are prized intellectual property.

Two. Forecasting Dilemma. Projections are fuzzy, to say the least. Who can be believed? A simple curve on a graph doesn’t cut it. Step transitions are more than likely.

Three. Sleeping Sentinels. Regulatory lag is normal. Rules and regulators take time to mature. It’s just that, in this case, this lag may be disastrous. And some prefer to sleep.

Four. Legacy Thinking. Imagining AI’s future to be a version of past progress is woefully inadequate. It’s a new game when machines exceed human intelligence.

I do not believe that the world will end in five years but it maybe unrecognisable from today’s world. AI will create as many problems as it solves. Surely the powers that be need to step back and think about how the next decade will pan out. 


[1] https://www.theguardian.com/us-news/2026/sep/02/jd-vance-god-podcast-end-times

[2] https://youtu.be/8gPSGrpIlkc

[3] https://online.hbs.edu/blog/post/moores-law

Moments of Decision

It’s the time of year. Young people pass through a gateway. Exam results hit the streets. Through life there are moments of decision. Life is not linear or proportionate. Swaths of time will pass when nothing much happens. Then bang. There’s a moment of decision.

Certainly, education has a role to play in preparing people for those moments. This is where the race for superior exam performance statistics fails. It’s great for someone to struggle through and ace one subject. It’s great for a person of moderate ability to excel out of the blue. It’s great when a naturally talented individual gets more than their expected grades. The difficulty arises when people, consequently, are not prepared to know what to do.

Conflicting advice shovelled out by a fickle media isn’t the bast source on offer. Politicians juggling with volumes of statistic, a barrage of recommendations and a pile of prejudices struggle to find a line to maintain.

Is going to university important? Now, there’s a question mark that’s doing the rounds.

It’s true, I should not, on any account, judge the current situation as if it was the same as my experience of 50-years ago. 1976 was a world away from where we are in 2026. That said there are some fundamentals that stick.

At the deepest level there’s the reason universities exit at all. Let’s face it they are not an invention of the modern world. There’s a reason special places of learning were established in every human civilisation. It’s that basic hierarchy of needs. Once food and shelter are commonplace humanity gets around to asking endless questions about the world and the universe.

Is going to university important? I find the question strange in so many ways. Fine there’s a small number of institutions that don’t offer the ideals of university life or an uplift in future opportunities. However, the vast majority provide the next steps that a maturing adult needs. It may lead to a specialisation or a jumping-off point to a radically different destination.

A hardy perennial that keeps cropping up is this war of the vocational verses the academic. It’s a persistent theme.

Mechanics that fix semi-autonomous electric vehicles may not need a degree in oceanography. Researchers in the art of renaissance architecture may not need to know how to lay bricks. Engineers developing farm machinery may not need a qualification in linguistics. Need is not all.

What this presents is a false conflict. In my mind, people with a diversity of experiences are going to be much better equipped to deal with the future than those who tramline. Thus, the “hard hat verses gradation cap” is the most moronic of slogans. It’s the ultimate visualisation of the tramline. It paints a picture of a fork in the road (or rail).

I started by writing that there are moments of decision. The point I want to make is that the decision of university or not university shouldn’t be based solely on career aspiration or finances or popular fashion. Believe it or not it’s possible to read medieval illiterate and be a gifted welder. To be fascinated by the Greeks and Romans and fly a plane. To enjoy construction work and play a musical instrument to a high level. Motivation and passion are the key.

Please let’s think more widely about lifelong learning. Let’s build systems that enable lifelong learning.

Digital Age Dilemma

There was a time when most of the political parties in the UK would object to mass surveillance and the State having a watchful eye on every one of its citizens. The influence of the Magna Carta, that 800-year-old document, was a keystone of thinking in this country. Although it was aimed at the privileged when first placed in front of a Monarch, it embraced the idea of liberty. It so upset the establishment that a Pope denounced it.

Ideas endure and those contained in the Magna Carta went on to inspire the framers of the constitutions and legislation in many countries. It doesn’t sound so strange in modern times that a person should be able to go about their lives without an overbearing State impinging on their liberty. Well, at least in theory.

I remember the intense debates that took place in the mid-1990s. The subject being the introduction of identity cards in the UK. Technical arguments were made of how such a measure would simplify lives in the coming digital age. Those agreements paid little attention to the erosion of fundamental rights that the centralising personal data on citizens would bring.

What’s happened now, through a process of stealth, is that people have given away vast qualities of data to international commercial entities without batting an eyelid. The legal device that has been used is a contract that few people ever read. The End User License Agreement (EULA). This detailed fine print addresses data collection and aims to protect software providers from liability.

I suspect that Conservative politicians have observed how little attention people are paying to the erosion of their rights that they feel emboldened to abandon any commitments to liberty. For some time now the Conservative mantra of has been to leave the European Convention on Human Rights (ECHR). This is based on a gamble that most people will not have read the document. It’s a bit like the snatch and grab that the typical EULA has become.

Now, the Conservative Party has doubled down on a shift to the right of politics by inviting the prospect of mass surveillance. There’s a reasonable argument for the police to excurse powers to delve into the digital world when investigating crime. In fact, how can they not do so. However, this should be done so when there’s reasonable basis for doing so. Not everyone is a suspect of criminal activity. The law of the land still upholds the idea that guilt must be proven.

Computational tools are getting ever more powerful. I could joke that the number of articles on AI would reach to the Moon and back, but I wouldn’t be far wrong. One of the powerful software tools that’s accumulating uses is that of digital facial recognition. We’ve advanced from the days of inky fingerprints, although such prints are still valuable identifiers.

Where do we have a problem with liberty? The framers of many longstanding constitutions didn’t have to think to hard about what liberty meant in a world devoid of digital cameras. Now, any citizen’s image is going to be caught hundreds of times through the day. Maybe thousands of times. That instant image can be present on storage devices across the globe.

Who owns that image of me or you? Can it be used by anyone? Tricky questions given phones, traffic cameras, doorbells and home and business security cameras are subject to EULAs. On a superficial basis, requiring police forces to extract digital images and run them through a national database can sound like a good crime fighting idea.

The problem is where is the line drawn? Mass surveillance? Where everyone is an immediate suspect until proven not guilty? Not guilty by virtue of the calculation of an algorithm. Widespread digital camera coverage does put this in prospect. Images stored all over the world. Do we need to reframe the Magna Carta for the AI age? Now, there’s a thought.

Call for Action and Change

When I hear promising ideas, I instinctively say to myself – don’t be negative. Try and see the plus side of these proposals. Afterall the proposer is doing their best to solve a problem. I hope. Same with the recognition of a problem, even if solutions are nowhere to be seen. Just saying it or writing it out is an acceptance that something needs doing. Action needs to be taken. As is often said, every journey begins with the first step.

It ‘s easy to be cynical when so many first steps have been taken before. Well-meaning, and not so well-meaning, individuals have stood at lecterns saying what needs to be done. So, tackling the troubling situation of social care in the UK is a great ambition for a Prime Minister to have. A good task to set before a new Cabinet. Where they will go with it, no one knows, at the moment. Making a commitment, in public, is a good place to start.

That’s not what I’m going to write about this morning. There’s a ghastly term that has entered discussions of recent. I say ghastly because it’s a faceless product of statistical analysis. Carved out of a pile of numbers it proports to describe a whole group of young people as if there were a homogonous lump.

The term is NEET. It makes me cringe every time I hear it. Meaning – the number of 16 to 24-year-olds not in Employment, Education, or Training. A moral panic sets in when people say this is “a lost generation”. It’s as if a million young people had wandered off into oblivion. Makes me think of the 1960s/70s and the moral panic that set in as young people – turned-on, tuned-in and dropped-out. The counterculture slogan of those decades. Like so many situations the truth is a lot more complex. It usually is. Here’s a number of factors that undoubtably come into play.

Yes, that hardy perennial, the decline of “real” apprenticeships. The low value society still puts on training craft and manual skills of a practical nature. Despite the nice words of successive politicians. I’ve yet to see a Minister’s daughter start aircraft maintenance training.

Penny pinching that’s turned local colleges into factories. Pile them high and get them through the door fast. An attitude to young people that’s driven by key performance indicators.

The pernicious side of social media. Past generations may have had their excesses but didn’t have this inescapable attention draining impact on mental health. It’s unrelenting.

Role models are hard to come by unless they are family members. Many potential opportunities appear unobtainable. The media often portrays a future wrapped in glamour and littered with overnight success. Perhaps, Andy Warhol was right.

Lack of orientating to dramatic changes in the future working environment. Pushed by Conservative Minister Gove and alike, education has taken a retro path in emphasising academia and rote learning. Exams as the pinnacle. The wrong path.

The “new” Labour Government must address all of these and more if they want to shift the dial. On this score, I’ll say a word about a past opponent of mine. We were both local Councillors at the same time. In 2017, as Minister of State for Skills and Apprenticeships, Conservative Anne Milton at least tried to shift the dial on this subject. Then that menace Boris Johnson came along, and Brexit took the whole country backwards at a very rapid pace.

I look with optimism. However, the “new” Labour Government is a bit like the “old” Labour Government. Ministers carved out of an Oxbridge tradition. Happy to talk about their illustrious working-class origins but a million miles from real word experience of leaving school at 16 years old and getting a paying job. Supporting themselves through training.

Transforming lives will require focus on multiple issues, as I’ve illustrated, and it would be nice to see actions take precedent over nice speeches. Wittering on about the value of apprenticeships isn’t enough.

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