Category Archives: Economics

With automation driving us towards UBI, we should consider a culture tax

Regardless of party politics, most people want a future where everyone has enough to live a dignified and comfortable life. To make that possible, we need to tweak a few things.

Universal Basic Income

I suggested a long time ago that in the far future we could afford a basic income for all, without any means testing on it, so that everyone has an income at a level they can live on. It turned out I wasn’t the only one thinking that and many others since have adopted the idea too, under the now usual terms Universal Basic Income or the Citizen Wage. The idea may be old, but the figures are rarely discussed. It is harder than it sounds and being a nice idea doesn’t ensure  economic feasibility.

No means testing means very little admin is needed, saving the estimated 30% wasted on admin costs today. Then wages could go on top, so that everyone is still encouraged to work, and then all income from all sources is totalled and taxed appropriately. It is a nice idea.

The difference between figures between parties would be relatively minor so let’s ignore party politics. In today’s money, it would be great if everyone could have, say, £30k a year as a state benefit, then earn whatever they can on top. £30k is around today’s average wage. It doesn’t make you rich, but you can live on it so nobody would be poor in any sensible sense of the word. With everyone economically provided for and able to lead comfortable and dignified lives, it would be a utopia compared to today. Sadly, it can’t work with those figures yet. 65,000,000 x £30,000 = £1,950Bn . The UK economy isn’t big enough. The state only gets to control part of GDP and out of that reduced budget it also has its other costs of providing health, education, defence etc, so the amount that could be dished out to everyone on this basis is therefore a lot smaller than 30k. Even if the state were to take 75% of GDP and spend most of it on the basic income, £10k per person would be pushing it. So a couple would struggle to afford even the most basic lifestyle, and single people would really struggle. Some people would still need additional help, and that reduces the pool left to pay the basic allowance still further. Also, if the state takes 75% of GDP, only 25% is left for everything else, so salaries would be flat, reducing the incentive to work, while investment and entrepreneurial activity are starved of both resources and incentive. It simply wouldn’t work today.

Simple maths thus forces us to make compromises. Sharing resources reduces costs considerably. In a first revision, families might be given less for kids than for the adults, but what about groups of young adults sharing a big house? They may be adults but they also benefit from the same economy of shared resources. So maybe there should be a household limit, or a bedroom tax, or forms and means testing, and it mustn’t incentivize people living separately or house supply suffers. Anyway, it is already getting complicated and our original nice idea is in the bin. That’s why it is such a mess at the moment. There just isn’t enough money to make everyone comfortable without doing lots of allowances and testing and admin. We all want utopia, but we can’t afford it. Even the modest £30k-per-person utopia costs at least 3 times more than the UK can afford. Switzerland is richer per capita but even there they have rejected the idea.

However, if we can get back to the average 2.5% growth per year in real terms that used to apply pre-recession, and surely we can, it would only take 45 years to get there. That isn’t such a long time. We have hope that if we can get some better government than we have had of late, and are prepared to live with a little economic tweaking, we could achieve good quality of life for all in the second half of the century.

So I still really like the idea of a simple welfare system, providing a generous base level allowance to everyone, topped up by rewards of effort, but recognise that we in the UK will have to wait decades before we can afford to put that base level at anything like comfortable standards though other economies could afford it earlier.

Meanwhile, we need to tweak some other things to have any chance of getting there. I’ve commented often that pure capitalism would eventually lead to a machine-based economy, with the machine owners having more and more of the cash, and everyone else getting poorer, so the system will fail. Communism fails too. Thankfully much of the current drive in UBI thinking is coming from the big automation owners so it’s comforting to know that they seem to understand the alternative.

Capitalism works well when rewards are shared sensibly, it fails when wealth concentration is too high or when incentive is too low. Preserving the incentive to work and create is a mainly matter of setting tax levels well. Making sure that wealth doesn’t get concentrated too much needs a new kind of tax.

Culture tax

The solution I suggest is a culture tax. Culture in the widest sense.

When someone creates and builds a company, they don’t do so from a state of nothing. They currently take for granted all our accumulated knowledge and culture – trained workforce, access to infrastructure, machines, governance, administrative systems, markets, distribution systems and so on. They add just another tiny brick to what is already a huge and highly elaborate structure. They may invest heavily with their time and money but actually when  considered overall as part of the system their company inhabits, they only pay for a fraction of the things their company will use.

That accumulated knowledge, culture and infrastructure belongs to everyone, not just those who choose to use it. It is common land, free to use, today. Businesses might consider that this is what they pay taxes for already, but that isn’t explicit in the current system.

The big businesses that are currently avoiding paying UK taxes by paying overseas companies for intellectual property rights could be seen as trailblazing this approach. If they can understand and even justify the idea of paying another part of their company for IP or a franchise, why should they not pay the host country for its IP – access to the residents’ entire culture?

This kind of tax would provide the means needed to avoid too much concentration of wealth. A future businessman might still choose to use only software and machines instead of a human workforce to save costs, but levying taxes on use of  the cultural base that makes that possible allows a direct link between use of advanced technology and taxation. Sure, he might add a little extra insight or new knowledge, but would still have to pay the rest of society for access to its share of the cultural base, inherited from the previous generations, on which his company is based. The more he automates, the more sophisticated his use of the system, the more he cuts a human workforce out of his empire, the higher his taxation. Today a company pays for its telecoms service which pays for the network. It doesn’t pay explicitly for the true value of that network, the access to people and businesses, the common language, the business protocols, a legal system, banking, payments system, stable government, a currency, the education of the entire population that enables them to function as actual customers. The whole of society owns those, and could reasonably demand rent if the company is opting out of the old-fashioned payments mechanisms – paying fair taxes and employing people who pay taxes. Automate as much as you like, but you still must pay your share for access to the enormous value of human culture shared by us all, on which your company still totally depends.

Linking to technology use makes good sense. Future AI and robots could do a lot of work currently done by humans. A few people could own most of the productive economy. But they would be getting far more than their share of the cultural base, which belongs equally to everyone. In a village where one farmer owns all the sheep, other villagers would be right to ask for rent for their share of the commons if he wants to graze them there.

I feel confident that this extra tax would solve many of the problems associated with automation. We all equally own the country, its culture, laws, language, human knowledge (apart from current patents, trademarks etc. of course), its public infrastructure, not just businessmen. Everyone surely should have the right to be paid if someone else uses part of their share. A culture tax would provide a fair ethical basis to demand the taxes needed to pay the Universal basic Income so that all may prosper from the coming automation.

The extra culture tax would not magically make the economy bigger, though automation may well increase it a lot. The tax would ensure that wealth is fairly shared. Culture tax/UBI duality is a useful tool to be used by future governments to make it possible to keep capitalism sustainable, preventing its collapse, preserving incentive while fairly distributing reward. Without such a tax, capitalism simply may not survive.


Proposed Kent solar farm is green lunacy

Solar farms should be placed in desert regions that have low value for growing food, and relatively low value to nature. There are plans to install a massive solar farm in nice green Kent, where it is occasionally a little bit sunny. That strikes me as lunacy, and even some green groups agree and are campaigning against it.

The project is apparently being led by Hive Energy and Wirsol. I have been in contact with Tesla, who say “Tesla is not in conversations with any parties with regards to this project”.

Land is limited and we must use it sensibly

Nature often takes a battering when money is available, but a rich country should protect nature and ensure that some appropriate spaces are set aside. It is right to resist attempts to reassign such land to other purposes, especially when there area obvious alternatives. In this case, the land in question is mainly natural habitat, but other green areas are used for food production.

World population is growing, with another 3 billion mouths to feed mid-century. Agricultural technology will improve output per hectare and food trends may reduce the amount of meat consumption, but we should be able to feed everyone just fine even with 10 or 11 Billion people, but it will require good land stewardship. Prime agricultural land should be used mainly to grow crops. Some will be needed for buildings and roads of course, and we will want to have extensive nature reserves too. When we can produce more food than people need, we can return land to nature, but we should certainly not waste it by using it for solar farms when there are far better places to put them.

Using agricultural land for solar farms increases food costs by reducing food supply, hurting the world’s poorest people. This is also true of using land to grow biofuels, essentially an extraordinarily inefficient form of indirect solar power.

Secondly, the main current argument for solar power is to save CO2 emissions. If you read my blogs regularly, you’ll know I think that claims of human-related CO2-induced global warming catastrophe are greatly exaggerated, but there is some effect so we should not be complacent, and we do still need to be careful with emission levels. I’ve always been in favor of moving to solar and fusion as very long-term solutions. Fusion won’t be a big player until the 2040s. One day, solar will be cheaper than using shale gas, the most environmentally friendly fossil fuel solution with only half the CO2 output for a unit of energy compared to oil and coal, but that day is still far in the future. The more energy a panel can make, the more CO2 it saves. We only have one atmosphere, and a ton saved anywhere is a ton saved globally. It makes sense to put them in places where there is a lot of sun. Often that means deserts, which obviously have very little value for growing crops and support relatively low levels of life for the same reason. Putting a panel in a desert produces far more energy for far less environmental cost. A solar panel in the Sahara would make 5 times more energy than one in Kent, without reducing world food output at all. 

Sahara solar

Furthermore, many desert areas are home to poor people, who might welcome extra income from housing and maintaining panels for a cut of the revenue they make. Dust and sand would make maintenance a regular issue, but providing decent income for regular work for people with few other options makes good economic sense. Doing so would also help subsidize other infrastructure badly needed that might also improve local quality of life in those areas.

Finally, by providing extra income to deprived areas of the world, geo-political tensions may reduce somewhat.

All in, it makes far more sense socially, economically, politically, and environmentally to provide solar power from desert areas than from prime agricultural land or natural habitat.



AIs of a feather flocking together to create global instability

Hawking and Musk have created a lot of media impact with their warnings about AI, so although terminator scenarios resulting from machine consciousness have been discussed, as have more mundane use of non-conscious autonomous weapon systems, it’s worth noting that I haven’t yet heard them mention one major category of risks from AI – emergence. AI risks have been discussed frequently since the 1970s, and in the 1990s a lot of work was done in the AI community on emergence. Complex emergent patterns of behavior often result from interactions between entities driven by simple algorithms. Genetic algorithms were demonstrated to produce evolution, simple neighbor-interaction rules were derived to illustrate flocking behaviors that make lovely screen saver effects. Cellular automata were played with. In BT we invented ways of self-organizing networks and FPGAs, played with mechanism that could be used for evolution and consciousness, demonstrated managing networks via ANTs – autonomous network telephers, using smart packets that would run up and down wires sorting things out all by themselves. In 1987 discovered a whole class of ways of bringing down networks via network resonance, information waves and their much larger class of correlated traffic – still unexploited by hackers apart from simple DOS attacks. These ideas have slowly evolved since, and some have made it into industry or hacker toolkits, but we don’t seem to be joining the dots as far as risks go.

I read an amusing article this morning by an ex-motoring-editor who was declined insurance because the AI systems used by insurance companies had labelled him as high risk because he maybe associated with people like Clarkson. Actually, he had no idea why, but that was his broker’s theory of how it might have happened. It’s a good article, well written and covers quite a few of the dangers of allowing computers to take control.

The article suggested how AIs in different companies might all come to similar conclusions about people or places or trends or patterns in a nice tidy positive feedback loop. That’s exactly the sort of thing that can drive information waves, which I demonstrated in 1987 can bring down an entire network in less than 3 milliseconds, in such a way that it would continue to crash many times when restarted. That isn’t intended by the algorithms, which individually ought to make good decisions, but when interacting with one another, create the emergent phenomenon.  Automated dealing systems are already pretty well understood in this regard and mechanisms prevent frequent stock market collapses, but that is only one specific type of behavior in one industry that is protected. There do not seem to be any industry-wide mechanisms to prevent the rest of this infinite class of problems from affecting any or all of the rest, simultaneously.

As we create ever more deep learning neural networks, that essentially teach themselves from huge data pools, human understanding of their ‘mindsets’ decreases. They make decisions using algorithms that are understood at a code level, but the massive matrix of derived knowledge they create from all the data they receive becomes highly opaque. Often, even usually, nobody quite knows how a decision is made. That’s bad enough in a standalone system, but when many such systems are connected, produced and owned and run by diverse companies with diverse thinking, the scope for destructive forms of emergence increases geometrically.

One result could be gridlock. Systems fed with a single new piece of data could crash. My 3 millisecond result in 1987 would still stand since network latency is the prime limiter. The first AI receives it, alters its mindset accordingly, processes it, makes a decision and interacts with a second AI. This second one might have different ‘prejudice’ so makes its own decision based on different criteria, and refuses to respond the way intended. A 3rd one looks at the 2nd’s decision and takes that as evidence that there might be an issue, and with its risk-averse mindset, also refuse to act, and that inaction spreads through the entire network in milliseconds. Since the 1st AI thinks the data is all fine and it should have gone ahead, it now interprets the inaction of the others as evidence that that type of data is somehow ‘wrong’ so itself refuses to process any further of that type, whether from its own operators or other parts of the system. So it essentially adds its own outputs to the bad feeling and the entire system falls into sulk mode. As one part of infrastructure starts to shut down, that infects other connected parts and our entire IT could fall into sulk mode – entire global infrastructure. Since nobody knows how it all works, or what has caused the shutdown, it might be extremely hard to recover.

Another possible result is a direct information wave, almost certainly a piece of fake news. Imagine our IT world in 5 years time, with all these super-smart AIs super-connected. A piece of fake news says a nuke has just been launched somewhere. Stocks will obviously decline, whatever the circumstances, so as the news spreads, everyone’s AIs will take it on themselves to start selling shares before the inevitable collapse, triggering a collapse, except it won’t because the markets won’t let that happen. BUT… The wave does spread, and all those individual AIs want to dispose of those shares, or at least find out what’s happening, so they all start sending messages to one another, exchanging data, trying to find what’s going on. That’s the information wave. They can’t sell shares of find out, because the network is going into overload, so they try even harder and force it into severe overload. So it falls over. When it comes back online, they all try again, crashing it again, and so on.

Another potential result is smartass AI. There is always some prat somewhere who sees an opportunity to take advantage and ruins if for everyone else by doing something like exploiting a small loophole in the law, or in this case, most likely, a prejudice our smartass AI has discovered in some other AI that means it can be taken advantage of by doing x, y, or z. Since nobody quite knows how any of their AIs are making their decisions because their mindsets ate too big and too complex, it will be very hard to identify what is going on. Some really unusual behavior is corrupting the system because some AI is going rogue somewhere somehow, but which one, where, how?

That one brings us back to fake news. That will very soon infect AI systems with their own varieties of fake news. Complex networks of AIs will have many of the same problems we are seeing in human social networks. An AI could become a troll just the same as a human, deliberately winding others up to generate attention of drive a change of some parameter – any parameter – in its own favour. Activist AIs will happen due to people making them to push human activist causes, but they will also do it all by themselves. Their analysis of the system will sometimes show them that a good way to get a good result is to cause problems elsewhere.

Then there’s climate change, weather, storms, tsunamis. I don’t mean real ones, I mean the system wide result of tiny interactions of tiny waves and currents of data and knowledge in neural nets. Tiny effects in one small part of a system can interact in unforeseen ways with other parts of other systems nearby, creating maybe a breeze, which interacts with breezes in nearby regions to create hurricanes. I think that’s a reasonable analogy. Chaos applies to neural net societies just as it does to climate, and 50 year waves equivalents will cause equivalent havoc in IT.

I won’t go on with more examples, long blogs are awful to read. None of these requires any self-awareness, sentience, consciousness, call it what you will. All of these can easily happen through simple interactions of fairly trivial AI deep learning nets. The level of interconnection already sounds like it may already be becoming vulnerable to such emergence effects. Soon it definitely will be. Musk and Hawking have at least joined the party and they’ll think more and more deeply in coming months. Zuckerberg apparently doesn’t believe in AI threats but now accepts the problems social media is causing. Sorry Zuck, but the kind of AI you’re company is messing with will also be subject to its own kinds of social media issues, not just in its trivial decisions on what to post or block, but actual inter-AI socializing issues. It might not try to eliminate humanity, but if it brings all of our IT to a halt and prevents rapid recovery, we’re still screwed.


2018 outlook: fragile

Futurists often consider wild cards – events that could happen, and would undoubtedly have high impacts if they do, but have either low certainty or low predictability of timing.  2018 comes with a larger basket of wildcards than we have seen for a long time. As well as wildcards, we are also seeing the intersection of several ongoing trends that are simultaneous reaching peaks, resulting in socio-political 100-year-waves. If I had to summarise 2018 in a single word, I’d pick ‘fragile’, ‘volatile’ and ‘combustible’ as my shortlist.

Some of these are very much in all our minds, such as possible nuclear war with North Korea, imminent collapse of bitcoin, another banking collapse, a building threat of cyberwar, cyberterrorism or bioterrorism, rogue AI or emergence issues, high instability in the Middle East, rising inter-generational conflict, resurgence of communism and decline of capitalism among the young, increasing conflicts within LGBTQ and feminist communities, collapse of the EU under combined pressures from many angles: economic stresses, unpredictable Brexit outcomes, increasing racial tensions resulting from immigration, severe polarization of left and right with the rise of extreme parties at both ends. All of these trends have strong tribal characteristics, and social media is the perfect platform for tribalism to grow and flourish.

Adding fuel to the building but still unlit bonfire are increasing tensions between the West and Russia, China and the Middle East. Background natural wildcards of major epidemics, asteroid strikes, solar storms, megavolcanoes, megatsumanis and ‘the big one’ earthquakes are still there waiting in the wings.

If all this wasn’t enough, society has never been less able to deal with problems. Our ‘snowflake’ generation can barely cope with a pea under the mattress without falling apart or throwing tantrums, so how we will cope as a society if anything serious happens such as a war or natural catastrophe is anyone’s guess. 1984-style social interaction doesn’t help.

If that still isn’t enough, we’re apparently running a little short on Ghandis, Mandelas, Lincolns and Churchills right now too. Juncker, Trump, Merkel and May are at the far end of the same scale on ability to inspire and bring everyone together.

Depressing stuff, but there are plenty of good things coming too. Augmented reality, more and better AI, voice interaction, space development, cryptocurrency development, better IoT, fantastic new materials, self-driving cars and ultra-high speed transport, robotics progress, physical and mental health breakthroughs, environmental stewardship improvements, and climate change moving to the back burner thanks to coming solar minimum.

If we are very lucky, none of the bad things will happen this year and will wait a while longer, but many of the good things will come along on time or early. If.

Yep, fragile it is.


The age of dignity

I just watched a short video of robots doing fetch and carry jobs in an Alibaba distribution centre:

There are numerous videos of robots in various companies doing tasks that used to be done by people. In most cases those tasks were dull, menial, drudgery tasks that treated people as machines. Machines should rightly do those tasks. In partnership with robots, AI is also replacing some tasks that used to be done by people. Many are worried about increasing redundancy but I’m not; I see a better world. People should instead be up-skilled by proper uses of AI and robotics and enabled to do work that is more rewarding and treats them with dignity. People should do work that uses their human skills in ways that they find rewarding and fulfilling. People should not have to do work they find boring or demeaning just because they have to earn money. They should be able to smile at work and rest at the end of the day knowing that they have helped others or made the world a better place. If we use AI, robots and people in the right ways, we can build that world.

Take a worker in a call centre. Automation has already replaced humans in most simple transactions like paying a bill, checking a balance or registering a new credit card. It is hard to imagine that anyone ever enjoyed doing that as their job. Now, call centre workers mostly help people in ways that allow them to use their personalities and interpersonal skills, being helpful and pleasant instead of just typing data into a keyboard. It is more enjoyable and fulfilling for the caller, and presumably for the worker too, knowing they genuinely helped someone’s day go a little better. I just renewed my car insurance. I phoned up to cancel the existing policy because it had increased in price too much. The guy at the other end of the call was very pleasant and helpful and met me half way on the price difference, so I ended up staying for another year. His company is a little richer, I was a happier customer, and he had a pleasant interaction instead of having to put up with an irate customer and also the job satisfaction from having converted a customer intending to leave into one happy to stay. The AI at his end presumably gave him the information he needed and the limits of discount he was permitted to offer. Success. In billions of routine transactions like that, the world becomes a little happier and just as important, a little more dignified. There is more dignity in helping someone than in pushing a button.

Almost always, when AI enters a situation, it replaces individual tasks that used to take precious time and that were not very interesting to do. Every time you google something, a few microseconds of AI saves you half a day in a library and all those half days add up to a lot of extra time every year for meeting colleagues, human interactions, learning new skills and knowledge or even relaxing. You become more human and less of a machine. Your self-actualisation almost certainly increases in one way or another and you become a slightly better person.

There will soon be many factories and distribution centres that have few or no people at all, and that’s fine. It reduces the costs of making material goods so average standard of living can increase. A black box economy that has automated mines or recycling plants extracting raw materials and uses automated power plants to convert them into high quality but cheap goods adds to the total work available to add value; in other words it increases the size of the economy. Robots can make other robots and together with AI, they could make all we need, do all the fetching and carrying, tidying up, keeping it all working, acting as willing servants in every role we want them in. With greater economic wealth and properly organised taxation, which will require substantial change from today, people could be freed to do whatever fulfills them. Automation increases average standard of living while liberating people to do human interaction jobs, crafts, sports, entertainment, leading, inspiring, teaching, persuading, caring and so on, creating a care economy. 

Each person knows what they are good at, what they enjoy. With AI and robot assistance, they can more easily make that their everyday activity. AI could do their company set-up, admin, billing, payments, tax, payroll – all the crap that makes being an entrepreneur a pain in the ass and stops many people pursuing their dreams.  Meanwhile they would do that above a very generous welfare net. Many of us now are talking about the concept of universal basic income, or citizen wage. With ongoing economic growth at the average rate of the last few decades, the global economy will be between twice and three times as big as today in the 2050s. Western countries could pay every single citizen a basic wage equivalent to today’s average wage, and if they work or run a company, they can earn more.

We will have an age where material goods are high quality, work well and are cheap to buy, and recycled in due course to minimise environmental harm. Better materials, improved designs and techniques, higher efficiency and land productivity and better recycling will mean that people can live with higher standards of living in a healthier environment. With a generous universal basic income, they will not have to worry about paying their bills. And doing only work that they want to do that meets their self-actualisation needs, everyone can live a life of happiness and dignity.

Enough of the AI-redundancy alarmism. If we elect good leaders who understand the options ahead, we can build a better world, for everyone. We can make real the age of dignity.

Tips for surviving the future

Challenging times lie ahead, but stress can be lessened by being prepared. Here are my top tips, with some explanation so you can decide whether to accept them.

1 Adaptability is more important than specialization

In a stable environment, being the most specialized means you win most of the time in your specialist field because all your skill is concentrated there.

However, in a fast-changing environment, which is what you’ll experience for the rest of your life, if you are too specialized, you are very likely to find you are best in a filed that no longer exists, or is greatly diminished in size. If you make sure you are more adaptable, then you’ll find it easier to adapt to a new area so your career won’t be damaged when you are forced to change field slightly. Adaptability comes at a price – you will find it harder to be best in your field and will have to settle for 2nd or 3rd much of the time, but you’ll still be lucratively employed when No 1 has been made redundant.

2 Interpersonal, human, emotional skills are more important than knowledge

You’ve heard lots about artificial intelligence (AI) and how it is starting to do to professional knowledge jobs what the steam engine once did to heavy manual work. Some of what you hear is overstated. Google search is a simple form of AI. It has helped everyone do more with their day. It effectively replaced a half day searching for information in a library with a few seconds typing, but nobody has counted how many people it made redundant, because it hasn’t. It up-skilled everyone, made them more effective, more valuable to their employer. The next generation of AI may do much the same with most employees, up-skilling them to do a better job than they were previously capable of, giving them better job satisfaction and their employer better return. Smart employers will keep most of their staff, only getting rid of those entirely replaceable by technology. But some will take the opportunity to reduce costs, increase margins, and many new companies simply won’t employ as many people in similar jobs, so some redundancy is inevitable. The first skills to go are simple administration and simple physical tasks, then more complex admin or physical stuff, then simple managerial or professional tasks, then higher managerial and professional tasks. The skills that will be automated last are those that rely on first hand experience of understanding of and dealing with other people. AI can learn some of that and will eventually become good at it, but that will take a long time. Even then, many people will prefer to deal with another person than a machine, however smart and pleasant it is.

So interpersonal skills, human skills, emotional skills, caring skills, leadership and motivational skills, empathetic skills, human judgement skills, teaching and training skills will be harder to replace. They also tend to be ones that can easily transfer between companies and even sectors. These will therefore be the ones that are most robust against technology impact. If you have these in good shape, you’ll do just fine. Your company may not need you any more one day, but another will.

I called this the Care Economy when I first started writing and lecturing about it 20-odd years ago. I predicted it would start having an affect mid teen years of this century and I got that pretty accurate I think. There is another side that is related but not the same:

3 People will still value human skill and talent just because it’s human

If you buy a box of glasses from your local supermarket, they probably cost very little and are all identical. If you buy some hand-made crystal, it costs a lot more, even though every glass is slightly different. You could call that shoddy workmanship compared to a machine. But you know that the person who made it trained for many years to get a skill level you’d never manage, so you actually value them far more, and are happy to pay accordingly. If you want to go fast, you could get in your car, but you still admire top athletes because they can do their sport far better than you. They started by having great genes for sure, but then also worked extremely hard and suffered great sacrifice over many years to get to that level. In the future, when robots can do any physical task more accurately and faster than people, you will still value crafts and still enjoy watching humans compete. You’ll prefer real human comedians and dancers and singers and musicians and artists. Talent and skill isn’t valued because of the specification of the end result, they are valued because they are measured on the human scale, and you identify closely with that. It isn’t even about being a machine. Gorillas are stronger, cheetahs are faster, eagles have better eyesight and cats have faster reflexes than you. But they aren’t human so you don’t care. You will always measure yourself and others by human scales and appreciate them accordingly.

4 Find hobbies that you love and devote time to developing them

As this care economy and human skills dominance grows in importance, people will also find that AI and robotics helps them in their own hobbies, arts and crafts, filling in skill gaps, improving proficiency. A lot of people will find their hobbies can become semi-professional. At the same time, we’ll be seeing self-driving cars and drones making local delivery far easier and cheaper, and AI will soon make business and tax admin easy too. That all means that barriers to setting up a small business will fall through the floor, while the market for personalized, original products made my people will increase, especially local people. You’ll be able to make arts and crafts, jam or cakes, grow vegetables, make clothes or special bags or whatever, and easily sell them. Also at the same time, automation will be making everyday things cheaper, while expanding the economy, so the welfare floor will be raised, and you could probably manage just fine with a small extra income. Government is also likely to bring in some sort of citizen wage or to encourage such extra entrepreneurial activity without taxing it away, because they also have a need to deal with the social consequences of automation. So it will all probably come together quite well. If the future means you can make extra money or even a full income by doing a hobby you love, there isn’t much to dislike there.

5 You need to escape from your social media bubble

If you watch the goings on anywhere in the West today, you must notice that the Left and the Right don’t seem to get along any more. Each has become very intolerant of the other, treating them more like enemy aliens than ordinary neighbors. A lot of that is caused by people only being exposed to views they agree with. We call that social media bubbles, and they are extremely dangerous. The recent USA trouble is starting to look like some folks want a re-run of the Civil War. I’ve blogged lots about this topic and won’t do it again now except to say that you need to expose yourself to a wide subsection of society. You need to read paper and magazines and blogs, and watch TV or videos from all side of the political spectrum, not just those you agree with, not just those that pat you on the back every day and tell you that you’re right and it is all the other lot’s fault. If you don’t; if you only expose yourself to one side because you find the other side distasteful, then I can’t say this loud enough: You are part of the problem. Get out of your safe space and your social media tribe, expose yourself to the whole of society, not just one tribe. See that there are lots of different views out there but it doesn’t mean the rest are all nasty. Almost everyone is actually quite nice and almost everyone wants a fairer world, an end to exploitation, peace, tolerance and eradication of disease and poverty. The differences are almost all in the world model that they use to figure out the best way to achieve it. Lefties tend to opt for idealistic theoretical models and value the intention behind it, right-wingers tend to be pragmatic and go for what they think works in reality, valuing the outcome. It is actually possible to have best friends who you disagree with. I don’t often agree with any of mine. If you feel too comfortable in your bubble to leave, remember this: your market is only half the population at best , you’re excluding the other half, or even annoying them so they become enemies rather than neutral. If you stay in a bubble, you are damaging your own future, and helping to endanger the whole of society.

6 Don’t worry

There are lots of doom-mongers out there, and I’d be the first to admit that there are many dangers ahead. But if you do the things above, there probably isn’t much more you can do. You can moan and demonstrate and get angry or cry in the corner, but how would that benefit you? Usually when you analyse things long enough from all angles, you realize that the outcome of many of the big political battles is pretty much independent of who wins.  Politicians usually have far less choice than they want you to believe and the big forces win regardless of who is in charge. So there isn’t much point in worrying about it, it will probably all come out fine in the end. Don’t believe me. Take the biggest UK issue right now: Brexit. We are leaving. Does it matter? No. Why? Well, the EU was always going to break up anyway. Stresses and strains have been increasing for years and are accelerating. For all sorts of reasons, and regardless of any current bluster by ‘leaders’, the EU will head away from the vision of a United States of Europe. As tensions and conflicts escalate, borders will be restored. Nations will disagree with the EU ideal. One by one, several countries will copy the UK and have referendums, and then leave. At some point, the EU will be much smaller, and there will be lots of countries outside with their own big markets. They will form trade agreements, the original EU idea, the Common Market, will gradually be re-formed, and the UK will be part of it – even Brexiters want tariff-free-trade agreements. If the UK had stayed, the return to the Common Market would eventually have happened anyway, and leaving has only accelerated it. All the fighting today between Brexiteers and Remainers achieves nothing. It didn’t matter which way we voted, it only really affected timescale. The same applies to many other issues that cause big trouble in the short term. Be adaptable, don’t worry, and you’ll be just fine.

7 Make up your own mind

As society and politics have become highly polarised, any form of absolute truth is becoming harder to find. Much of what you read has been spun to the left or right. You need to get information from several sources and learn to filter the bias, and then make up your own mind on what the truth is. Free thinking is increasingly rare but learning and practicing it means you’ll be able to make correct conclusions about the future while others are led astray. Don’t take anyone else’s word for things. Don’t be anyone’s useful idiot. Think for yourself.

8 Look out for your friends, family and community.

I’d overlooked an important tip in my original posting. As Jases commented sensibly, friends, family and community are the security that doesn’t disappear in troubled economic times. Independence is overrated. I can’t add much to that.

Trump’s still an idiot but he was right to dump Paris

Climate change has always been in play. It is in play now. Many scientists think that the rise in global temperatures towards the end of the 1990s was largely due to human factors, namely CO2 emissions. Some of it undoubtedly is, but almost certainly nowhere near as much as these scientists believe. Because they put far too much emphasis on CO2 as the driving factor, almost as a meta religion, they downplay or refuse to acknowledge other important factors, such as long term ocean cycles, solar cycles, and poorly model forests and soil-air interchange. Because they rely on this one-factor-fits-all explanation for climate changing, they struggle to explain ‘the pause’ whereby temperatures leveled off even as CO2 levels continued to rise, and can’t explain why post El-Nino temperatures have now returned to that pause level. In short, their ‘science’ is nothing more than a weak set of theories very poorly correlating with observations.

A good scientist, when confronted with real world observations that conflict with their theory throws that theory in the bin and comes up with a better one. When a scientist’s comfy and lucrative job depends on their theory being correct, their response may not be to try to do better science that risks their project ending, but to hide facts, adjust and distort them, misrepresent them in graphs, draw false conclusions from falsified data to try to keep their messages of doom and their models’ predictions sounding plausible. Sadly, that does seem to me and very many other scientists to be what has been happening in so-called climate science. Many high quality scientists in the field have been forced to leave it, and many have had their papers rejected and their reputations attacked. The few brave honest scientists left in the field must put up with constant name-calling by peers whose livelihoods are threatened by honesty. Group-think has become established to the point where anyone not preaching the authorized climate change religion must be subjected to the Spanish Inquisition. Natural self-selection of new recruits into the field from greens and environmentalists mean that new members of the field will almost all follow the holy book. It is ironic that the Pope is on the side of these climate alarmists. Climate ‘science’ is simply no longer worthy of the name. ‘Climate change’ is now a meta-religion, and its messages of imminent doom and desperate demands for urgent wealth redistribution have merged almost fully into the political left. The right rejects it, the left accepts it. That isn’t science, it’s just politics.

Those of us outside the field have a hard time finding good science. There are plenty of blogs on both sides making scientific sounding arguments and showing nice graphs, but it is impossible for a scientist or engineer to look at it over time and not notice a pattern. Over the last decades, ‘climate scientists’ have made apocalyptic predictions in rapid succession, none of which seem ever to actually happen. Almost all of their computer models have consistently greatly overestimated the warming we should have seen by now, we should by now rarely see snow, and there should be no ice left in the Arctic. Sea levels should be far higher than they are too. Arctic ice is slightly below average, much the same as a decade ago. Polar bears are more abundant than for several decades. A couple of years ago we had record ice in the antarctic. Sea level is still rising at about the same rate as it has for the last 100s of years. Greenland is building more ice mass than ever. Every time there is a strong wind we’re told about climate change, but we rarely see any mention of the fastest drop in temperatures on record after the recent El-Nino, the great polar bear recovery or the record Antarctic ice when that happened. It is a one way street of doom that hides facts that don’t play to the hymn book.

In a private industry, at least in ones that aren’t making profits from climate change alarmism or renewable energy, like Elon Musk’s car, solar power and battery companies for example (do you think that might be why he is upset with Trump), scientists as bad as that would have lost their jobs many years ago. Most climate scientists work in state-funded institutions or universities and both tend towards left wing politics of course, so it is not surprising that they have left wing bias distorting their prejudices and consequently their theories and proposed solutions.

Grants are handed out by politicians, who want to look good and win votes, so are always keen to follow policies that are popular in the media. Very few politicians have any scientific understanding, so they are easily hoodwinked by simple manipulation of graphs whereby trends are always shown with the start point at the beginning of the last upwards incline, and where data is routinely changed to fit the message of doom. Few politicians can understand the science and few challenge why data has been changed or hidden. A strong community of religious followers is happy to eagerly and endlessly repeat fraudulent claims such as that “97% of scientists agree…”, mudslinging at anyone who disagrees.

Even if the doom was all true, Paris was still a very bad idea. Even if CO2 were as bad as claimed, the best response to that is to work out realistically how much CO2 is likely to be produced in the future, how fast alternative energy sources could become economic, which ones give the best value per CO2 unit until we get those economic replacements, and to formulate a sensible plan that maximizes bang per buck to ensure that the climate stays OK while spending at the right times to keep on track at the lowest cost. In my 2007 paper, I pointed out that CO2 will decline anyway once photo-voltaic solar becomes cheap enough, as it will even without any government action at all. I pointed out that it makes far more sense to save our pennies until it is cheaper and then get far more in place far faster, for the same spend, thereby still fixing the problem but at far lower costs. Instead, idiotic governments in Europe and especially the UK (and now today May vowing to continue such idiocy) have crippled households with massive subsidies to rich landowners to put renewable energy in place while it is still very expensive, with guarantees to those rich investors of high incomes for decades. The fiasco with subsidizing wood burning in Northern Ireland shows the enormous depths of government stupidity in these area, with some farmers making millions by wasting as much heat as they possibly could to maximize their subsidy incomes. That shows without any doubt the numerical and scientific public-sector illiteracy in play. Via other subsidies for wind, solar, wave and tidal systems, eEvery UK household will have to pay several hundreds of pounds more every year for energy, just so that a negligible impact on temperatures starts to occur neglibly earlier. Large numbers of UK jobs have already been lost to overseas from energy intensive industries. Those activities still occur, the CO2 is still produced, often with far lower environmental and employment standards. No Gain, lots of pain.

Enormous economic damage for almost zero benefit is not good government. A good leader would investigate the field until they could at least see there was still a lot of scientific debate about the facts and causes. A good leader would suspect the motivations of those manipulating data and showing misrepresentative graphs. A good leader would tell them to come back with unbiased data and unbiased graphs and honest theories or be dismissed. Trump has already taken the first step by calling a halt to the stupidity of ‘all pain for no gain’. He now needs to tackle NASA and NOAA and find a solution to get honest science reinstated in what were once credible and respected organisations. That honest science needs to follow up suggestions that because of solar activity reducing, we may in fact be heading into a prolonged period of cooling, as suggested by teams in Europe and Russia. At the very least, that might prevent the idiots currently planning to start geoengineering to reduce temperature to counteract catastrophic global warming, just as nature takes us into a cooling phase. Such mistimed stupidity could kick-start a new ice age. To remind you, climate scientists 45 years ago were warning that we were heading into an ice age and wanted to cover the arctic with black carbon to prevent runaway ice formation.

CO2 is a greenhouse gas. So is methane. We certainly should keep a watch on emissions and study the climate constantly to check that everything is OK. But that must be done by good scientists practicing actual science, whereby theories are changed to fit the observations, not the other way around. We should welcome development of solar power and storage solutions by companies like Musk’s, but there is absolutely no hurry and no need to subsidize any of that activity. Free market economics will give us cheap renewable energy regardless of government intervention, regardless of subsidy.

We didn’t need Kyoto and we didn’t need Paris. Kyoto didn’t work anyway and Paris causes economic redistribution and a great deal of wastage of money and resources, but no significant climate benefit. We certainly don’t want any more pain for no gain. It is right that we should still help poor countries to the very best of our ability, but we should do that without conflating science with religion and politics.

Trump may still be an idiot, but he was right on this occasion and should now follow on by fixing climate science. May should follow and take the UK out of the climate alarmist damage zone too. Making people poor or jobless for no good reason is not something I can vote for.

AI is mainly a stimulative technology that will create jobs

AI has been getting a lot of bad press the last few months from doom-mongers predicting mass unemployment. Together with robotics, AI will certainly help automate a lot of jobs, but it will also create many more and will greatly increase quality of life for most people. By massively increasing the total effort available to add value to basic resources, it will increase the size of the economy and if that is reasonably well managed by governments, that will be for all our benefit. Those people who do lose their jobs and can’t find or create a new one could easily be supported by a basic income financed by economic growth. In short, unless government screws up, AI will bring huge benefits, far exceeding the problems it will bring.

Over the last 20 years, I’ve often written about the care economy, where the more advanced technology becomes, the more it allows to concentrate on those skills we consider fundamentally human – caring, interpersonal skills, direct human contact services, leadership, teaching, sport, the arts, the sorts of roles that need emphatic and emotional skills, or human experience. AI and robots can automate intellectual and physical tasks, but they won’t be human, and some tasks require the worker to be human. Also, in most careers, it is obvious that people focus less and less on those automatable tasks as they progress into the most senior roles. Many board members in big companies know little about the industry they work in compared to most of their lower paid workers, but they can do that job because being a board member is often more about relationships than intellect.

AI will nevertheless automate many tasks for many workers, and that will free up much of their time, increasing their productivity, which means we need fewer workers to do those jobs. On the other hand, Google searches that take a few seconds once took half a day of research in a library. We all do more with our time now thanks to such simple AI, and although all those half-days saved would add up to a considerable amount of saved work, and many full-time job equivalents, we don’t see massive unemployment. We’re all just doing better work. So we can’t necessarily conclude that increasing productivity will automatically mean redundancy. It might just mean that we will do even more, even better, like it has so far. Or at least, the volume of redundancy might be considerably less. New automated companies might never employ people in those roles and that will be straight competition between companies that are heavily automated and others that aren’t. Sometimes, but certainly not always, that will mean traditional companies will go out of business.

So although we can be sure that AI and robots will bring some redundancy in some sectors, I think the volume is often overestimated and often it will simply mean rapidly increasing productivity, and more prosperity.

But what about AI’s stimulative role? Jobs created by automation and AI. I believe this is what is being greatly overlooked by doom-mongers. There are three primary areas of job creation:

One is in building or programming robots, maintaining them, writing software, or teaching them skills, along with all the associated new jobs in supporting industry and infrastructure change. Many such jobs will be temporary, lasting a decade or so as machines gradually take over, but that transition period is extremely valuable and important. If anything, it will be a lengthy period of extra jobs and the biggest problem may well be filling those jobs, not widespread redundancy.

Secondly, AI and robots won’t always work direct with customers. Very often they will work via a human intermediary. A good example is in medicine. AI can make better diagnoses than a GP, and could be many times cheaper, but unless the patient is educated, and very disciplined and knowledgeable, it also needs a human with human skills to talk to a patient to make sure they put in correct information. How many times have you looked at an online medical diagnosis site and concluded you have every disease going? It is hard to be honest sometimes when you are free to interpret every possible symptom any way you want, much easier to want to be told that you have a special case of wonderful person syndrome. Having to explain to a nurse or technician what is wrong forces you to be more honest about it. They can ask you similar questions, but your answers will need to be moderated and sensible or you know they might challenge you and make you feel foolish. You will get a good diagnosis because the input data will be measured, normalized and scaled appropriately for the AI using it. When you call a call center and talk to a human, invariably they are already the front end of a massive AI system. Making that AI bigger and better won’t replace them, just mean that they can deal with your query better.

Thirdly, and I believe most importantly of all, AI and automation will remove many of the barriers that stop people being entrepreneurs. How many business ideas have you had and not bothered to implement because it was too much effort or cost or both for too uncertain a gain? 10? 100? 1000? Suppose you could just explain your idea to your home AI and it did it all for you. It checked the idea, made a model, worked out how to make it work or whether it was just a crap idea. It then explained to you what the options were and whether it would be likely to work, and how much you might earn from it, and how much you’d actually have to do personally and how much you could farm out to the cloud. Then AI checked all the costs and legal issues, did all the admin, raised the capital by explaining the idea and risks and costs to other AIs, did all the legal company setup, organised the logistics, insurance, supply chains, distribution chains, marketing, finance, personnel, ran the payroll and tax. All you’d have to do is some of the fun work that you wanted to do when you had the idea and it would find others or machines or AI to fill in the rest. In that sort of world, we’d all be entrepreneurs. I’d have a chain of tea shops and a fashion empire and a media empire and run an environmental consultancy and I’d be an artist and a designer and a composer and a genetic engineer and have a transport company and a construction empire. I don’t do any of that because I’m lazy and not at all entrepreneurial, and my ideas all ‘need work’ and the economy isn’t smooth and well run, and there are too many legal issues and regulations and it would all be boring as hell. If we automate it and make it run efficiently, and I could get as much AI assistance as I need or want at every stage, then there is nothing to stop me doing all of it. I’d create thousands of jobs, and so would many other people, and there would be more jobs than we have people to fill them, so we’d need to build even more AI and machines to fill the gaps caused by the sudden economic boom.

So why the doom? It isn’t justified. The bad news isn’t as bad as people make out, and the good news never gets a mention. Adding it together, AI will stimulate more jobs, create a bigger and a better economy, we’ll be doing far more with our lives and generally having a great time. The few people who will inevitably fall through the cracks could easily be financed by the far larger economy and the very generous welfare it can finance. We can all have the universal basic income as our safety net, but many of us will be very much wealthier and won’t need it.


Interesting times

The US Presidential election was a tough choice between an awful candidate and a terrible one, but that is hardly new, is it? There was no good outcome on offer, no Gandhi or Mandela to choose, but you know what, life will go on, it’s not the end of the world.

The nation that elected Reagan and W will survive and prosper, WW3 has been postponed, as has 1984, the environment will benefit, some rogue states are very pissed off, US cultural decay has been slowed and the UK has just jumped past the EU in trade negotiations. A great many downtrodden people suddenly feel they have some hope and a great many sanctimonious egos have been pricked. The MSM and social media hysteria will carry on for months, but actually, it could have been a bit worse. Hillary could have won.

I don’t like Trump, he seems to me to be another egotistical buffoon with a double digit IQ. It’s not great that he will be in charge, but it wouldn’t have been great if Clinton had won either – she was no angel or genius and the best she had to offer was continued stagnation, division, sanctimony and decline. Trump can’t be a dictator though, and there will be plenty of smart people around him who understand the world far better than him and will advise him, while both houses will act as a secure defense against the worst ideas getting through. On the other hand, with a Republican majority in both houses, he will be able to push through those policies that do hold water. So there will be changes, but only changes that appeal to enough elected representatives, so panic isn’t justified, even if shock and terror are understandable in the circumstances.

Let’s take a glass half full view of the new situation, while acknowledging that there are a few bits of cork in the wine too.

Many people that didn’t live on the coast have felt disenfranchised by government in the last terms. In some of the states in between, nearly two thirds of people voted for someone they feel finally gives them hope. hope is a powerful emotion, it can energize and reinvigorate people who have felt left out. Don’t underestimate the potential that brings for economic growth if harnessed well.

Sure, there are also those who have been terrified by media who have endlessly portrayed Trump as some sort of nouveau Hitler who will try to evict or oppress every black, Latino, Hispanic or Middle Eastern. He is very likely to try to limit future economic migration and to put more checks on who enters from jihadic regions, but it is plain silly to expect he would be able to go further than that even if he wanted to, and actually no evidence that he even wants to. Minorities will become far less scared as they discover that their lives will carry on much as before, and nobody tries to make them leave or lock them up. I doubt that any policies will actually target minorities negatively except to restrict immigration to those who bring more benefits than threats.

Russia is happy that he has won. That is a good thing. The cold war just became less cold, the Satan missiles will be stood down, the chance of a nuclear war just dropped significantly and all our life expectancies just increased. Russians will feel a lot less scared and Putin will be less of a problem. Don’t forget how the situation between Russia and the USA improved during Reagan’s term, one of the thickest people ever to be POTUS, but with the right kind of personality. Obama’s Nobel peace prize will be remembered as one of the biggest misjudgments in history. Hillary’s and Obama’s foreign policies have made the world a great deal more dangerous over the last eight years and Hillary would have made Russia even more edgy, the chance of extinction significant, Iran even more empowered, the refugee crisis even greater, and social stress due to migration amplified. In a choice of two evils, Trump’s version is by far the safer.

1984 has come a great deal closer to reality over the last eight years too. Politically correct sanctimony has taken the place of religion and a Spanish Inquisition has oppressed anyone who doesn’t acknowledge and worship the New Truth. I’ve written plenty on 1984 before and won’t repeat it all here, but consider how the mainstream media has handled this election, amplifying every Trump fault while whitewashing Clinton’s. Unbiased is not a word I could use of today’s MSM. one-sidedness and severe distortion of the truth would be much more appropriate descriptions. Trump made some very sexist remarks, but the media made far more of those than Bill’s actual use of the Oval Office. Hillary didn’t leave Bill over that, so how can she be quite so upset at a sexist remark by someone else? The stench of sanctimony has penetrated every area of the electoral campaign, and indeed every area of values debate in recent years. Is being sexist really as bad as being corrupt or putting personal gain ahead of national interests? Accusations of Clinton corruption and mishandling of highly classified information were invariably approached as if exposing them was a greater crime than the acts themselves. I never saw any proper exploration of these in the MSM away from right-wing outlets such as Breitbart. Social media such as Facebook, Twitter and even Google have also been highly polluted by this sanctimony that distorts greatly the data and views people are exposed to, filtering articles and views that don’t comply with their value sets, creating bubbles of groupthink, amplifying tribal forces and increasing division, forcing thick wedges between left and right. The anger between the left and right tribes has become dangerous over the last terms. Hillary might have said she wants unity and that we’re stronger together, that it is Hillary love versus Trump hate, but the evidence points elsewhere, with those who didn’t agree with her apparently being odious intolerable racists, uneducated moronic bigots. A PC 1984 is already close and would have become rapidly closer in a Hillary term.

The social media backlash is already fierce, the anti-Trump protests will be many and often. Sanctimony is a very powerful emotion and it will not go away any time soon. Every policy decision will be met by self-righteous indignation. The split between the holy, progressive, evolved, civilized left and the deplorable, contemptible, ignorant, uneducated, bigoted, omniphobic, Neanderthal right will grow, but it would have grown too under Hillary. California is sanctimony HQ and has oft mentioned that it would like to consider independence again. That day just came closer. I’ve been of the half-baked view that a dual democracy would actually be a better idea,with people sharing the same geography under different governance, and that would be more likely to disperse inter-tribe conflict, but an independent California might get better support in the real world.

The environment will benefit now too. Hillary would have backed more of the same CO2 panic measures such as carbon offset schemes that damage the environment by draining peat bogs and felling forests to plant palm oil plantations, displacing powerless tribes to make space, converting food crops into biofuel and inflating food prices beyond the ability of the world’s poor to pay, planting wind turbines that kill birds and bats and cause bogs to dry out, actually increasing CO2 output. Very many ‘green’ ideas actually harm the environment and the poor. Very few actually work as intended. Without a doubt, the environment will be better off without the greens in control. Environmental science has been polluted so badly that it has severely damaged the reputation of science as a whole over the last few years. New York is not under water, the polar ice caps have not vanished yet, a billion people have not actually been forced from their homes by the sea. Much of the latest science suggests we may well be seeing a prolonged period of cooling from 2020 due to strong reduction in solar activity combined with long period ocean cycles. Severely damaging the economy, increasing prices and taxes and harming poor people disproportionately to solve a problem that actually isn’t anywhere near as bad as the alarmist have suggested, that has been postponed a few decades and will be made irrelevant after that by new technology emerging over those decades is really not a good idea, especially if those natural cycles make the opposite trend more of an issue during that period. Again, we’d be far better off without any of that anti-CO2 policy.

Iran is upset by the Trump victory. That’s good. Iran was becoming rather too enthusiastic about its newfound power in the region. It would be a far greater threat with the nukes it would make in coming years thanks to Obama and Clinton. Another route to WW3 may well just have started to close. Hamas will feel less enthusiastic too. Different policy in that whole unstable region is needed, ongoing stupidity is not. Preventing an influx of jihadists hiding in migrant flows seems a better strategy than inviting more in by reckless virtue signalling. Those in need can still be helped, refugee camps can still offer protection. American kids have more chance now to sleep safely in their beds rather than become victims of jihad. Cultural conflicts between Islamic migrants that refuse to integrate and Americans with Western values will obviously be lower if there are fewer migrants too.

Finally, the UK will benefit too. Instead of a President determined to make sure the UK ‘goes to the back of the queue’ in trade negotiations, we will have one who is more likely to treat the UK well than the EU. Trump recognizes the bond between the UK and the USA far better than Clinton.

So, it ain’t all bad. Sure, you’ve got a buffoon for President, but you’ve had that before and you survived just fine. We nearly got Boris as our PM, so we almost know how you feel. It could have been worse and really, with all your checks and balances, I don’t think it will be all that bad..

The glass is half full, with a few bits of cork.

Negativity has to end soon

There is much negativity about the future at the moment but post-Brexit, I am optimistic about our future. It looks better than it did before the referendum. Negativity spoils the short term but not the long term. Even if the next PM is rubbish – and once again it is a choice between bad and useless – they will be replaced by a better one in due course. Short term quite bad, long term very good.

The UK voted to leave the EU because most people thought we would be better leaving it, including me. Many commentators seek to project their own prejudices onto those who voted the other way, but all we know is that 52% voted to leave the EU; we don’t know why each one made that decision. Counting the votes told how many wanted to stay or leave the EU and only that; it can’t be mined to derive details of the mindset leading to that vote. It is not actually reasonable to infer that someone is a racist selfish moron from a leave vote. They might be, but you can’t derive that from the vote itself; you’d need other data. I’m not interested in debating all the various opinion polls about possible reasons, but it seem to me that there is little in common between typical poll stats for reasons given and the straw men put up by some remainers to demonise leavers. Demonisation just increases division.

Leavers voted leave for diverse baskets of reasons and attitudes, but the reasonable hope of probably most of them was that Britain could survive and prosper outside the EU, though economic reasons were usually secondary to escaping an undemocratic EU that was going the wrong way. Unfortunately we don’t currently have the competent and well-intentioned politicians and economic leaders we need to achieve the full potential so that needs fixed. We have some, but many seem to think it is more important to sulk in the corner, stomp their feet, do all they can to harm the economy, stir up division and encourage hatred, resentment and general bad feeling instead of putting their effort into making the most of a situation they didn’t want. They’d seemingly rather live in misery so they could say ‘I told you so’, but for some it might be that they actually don’t know how to do their jobs outside of the EU. They need to learn fast or be replaced.

That was to be expected, but it is a passing phase. Eventually, they’ll stop sulking and start doing the job they’re paid to do, or they’ll be replaced by others who can and will. Then the future freedom, prosperity and opportunity will come, slowly but surely, and it will become clear that the right decision was made and people will wonder what all the fuss was about. The UK will prosper, and the EU will either steer away from an embryonic Unites States of Europe towards a proper Common Market or evaporate via the domino effect, regardless of Tusk’s silly remark today that ‘there will be no sequel to Brexit’, which I suspect will go down as one of the worst predictions in political history.

Already, countries around the world are starting to discuss trade agreements with us. There is already enthusiasm for a new trading block of free and independent countries to deal with the EU. Currency and stocks and shares were always expected to take a short term hit during a period of uncertainty, and higher interest rates for out national debt was always expected to increase. Those are short term costs of a bigger long term benefit. Politicians, economists and bankers should work to accelerate the recovery and provide momentum to take us into improved prosperity. Nothing can be gained by moaning about how awful it is, exaggerating gloom or talking the economy down.

The media never accepts responsibility for anything, but they too play a part in the talking down and general negativity we’re seeing now. They don’t simply report things, they add huge negative spin and bias to make their own political points, to try to prevent Brexit or to reduce the changes and consequent benefits it could provide. They have also played a large role in the election of the new PM, strongly favouring one candidate (May) while undermining all the others. When the dust settles, it will be an excellent time to review the terms of existence of both the BBC and Channel 4 and especially to restore the impartiality the BBC once was famed for. Using the BBC or Channel 4 News as data sources at the moment is the intellectual equivalent of trying to survive by drinking swamp water full of decomposing sheep. Political bias in paid-for news channels is to be expected, but bias in organisations paid for equally by everyone is not acceptable, and if they can’t or won’t police themselves, then external policing should be imposed.

Some negativity was always expected after the referendum, whichever way it went. It must be just a short term hit, not become a way of life. We must not let it become the norm. Sulking benefits nobody.