Signal vs Noise

TECH Policy and Unintended Consequences

Technology is facing a substantial crossroads as policy changes with global resonance, such as China’s new crackdown on the country’s big tech companies (such as Ant Financial and Didi Global), the rising resistance to social media behemoths like Facebook, and the need for governments, whether in the United States, Western Europe, or China, to manage and control technological development. Regardless of any good intentions, this will add friction, inefficiency, and underperformance to the most dynamic global industry. The best intentions usually bring disastrous consequences. China cannot escape the law of unintended consequences. Trying to “manage” innovation and creativity takes away the often unplanned and serendipitous breakthroughs that make many significant advancements possible in the first place. From an economic perspective, capital is not going to invest in an uncertain environment where prosperity is managed and, despite great risk where most ventures will fail, the truly successful ones which make up for the losses and encourage capital to keep investing, will be mitigated. The vanguard of capital flight from China is beginning, and it will not ease if this policy and attitude are not revised. This attempt at “fairness and more equal distribution” will do nothing more than keep capital away and stifle any attempt at creativity, technical innovation, and economic advancement. The intention of this policy will yield the opposite outcome as a consequence. The signal means substance. Substance means innovation, creativity, and competitive dynamics that create the most effective innovations, the best solutions, and the most sustainable companies. Central planning, bureaucratic industrial policy, government-led economic management, and dictatorial focus have always failed, and always will. The US should not fall into this trap, regardless of how appealing it may be.

It is only noise.

The Thucydides Trap

China, the US, and the Thucydides Trap

The “Thucydides trap” is where a rising nation-state – for Thucydides it was Athens – must eventually have a violent confrontation with the existing dominant nation-state – Sparta in his time. It is a zero-sum game where there can be only one dominant nation-state as the eventual winner – and it is usually assumed to be the rising nation-state outdoing the dominant nation-state.

Today, many “experts” (and I have great disdain for self-proclaimed experts) believe this is the circumstance between the US and China. We are headed toward violent confrontation where there can be only one winner. I read the book by Thucydides about the conflict between Athens and Sparta (I cannot be dispassionate here about that outcome because my family is from Sparta on my father’s side). But I fundamentally disagree with Thucydides’s historical descriptions being used as analysis by anyone to describe global events, especially those between the US and China.

Stock Investment - Inflation, Predictions, Disruptions

Important and Unknowable

Economic predictions have always been highly variable and uncertain, and, for some reason, relied upon as if the future were a magical algorithm. Essentially, economists would make one fundamental mistake. They thought they were practicing a science. Data could be collected, inputted, and a predictive algorithm could be generated. Even Nobel Prize winners like Paul Samuelson believed that with enough data we could come to understand the economy and how it functioned.

This is nonsense. As Daniel Kahneman and Amos Tversky have shown us, human behavior and irrationality, combined with unpredictability and randomness (thank you Naseem Taleb) make this even a questionable social science. Using existing analysis and algorithms to reliably forecast is a fool’s errand, essential for someone’s tenure, and maybe even a Nobel Prize, but doesn’t add much that is useful. Some of the more laughable Nobel Prizes have been given to people who determined that markets were efficient. They are not. Economies can be predicted with useful data input. They cannot. A couple of inputs about inflation and the unemployment rate, and we know how to manage an economy. We can’t. That last one is the Philip’s Curve – true for a limited time and then it goes spectacularly wrong – a lot like most risk and market prediction models.

Inequality and Wealth Creation

Inequality is not an appropriate measure of economic performance or wealth creation.

Inequality is a relative and comparative statistic. It shows how wealth is distributed, which is not that meaningful, and certainly should not be the basis of economic policy. Essentially, inequality is a comparative metric and not an absolute one. That is, if everyone does better but a few people do much better, inequality increases, and this is seen as something bad even though everyone is better off. It is used to create misleading policies that focus on redistributing wealth that is created versus policy that should be focused on enabling greater and more distributed wealth creation – not wealth capture. Policy should focus on how to best create wealth for more people. The absolute degree of wealth creation is beside the point relative to other people. Creating opportunity for the most people is what matters.

As an example, overall wealth has increased over the last 30 years for every population group, but for the highest group, it has increased more substantially. But, why is that a problem? Instead, it is a natural and unavoidable outcome of the free market.

Here’s the analogy: if you want to hold a lottery, the prize has to be disproportionately large to have the most participants to raise the most capital. The simple goal is that net outflows (prizes) are smaller than the net inflows (contributions or purchased tickets). This is very similar to business opportunities and wealth creation.

As an economy, we want as many contributors to wealth creation – entrepreneurs and new businesses driving economic growth – as possible. The only way to do this is to enable market participants to have the greatest possible reward without restrictions. Most businesses will fail (much like most lottery tickets lose). But, because we have increased the number of willing participants, we also increase the opportunity to create the most wealth – the most businesses, jobs, and economic growth, as well as increasing the tax base from both businesses and individuals. So wealth creation, even if it is concentrated mostly in a handful of people, benefits the overall economy and society much more effectively than any attempt to limit that upside or redistribute it through politically popular but inefficient and demotivating policy.

Investment Principles

Stimulus and silliness

The world economy is struggling to escape the Covid-19 economic shock. During the worst of this pandemic, the world’s developed economies provided an enormous fiscal stimulus on a scale not seen since the second world war.

Now, however, the US is proposing to more than double its already generous fiscal stimulus. Is this a good idea or excessively risky?

Go Big, But Where?

For its proponents, the idea of “going big” is designed to be a transformative political moment. But too much appears allocated inefficiently, and it may simply be irresponsible.

An easy money era produced only anemic growth. But the scale and direction of additional stimulus look more like irresponsible fiscal policy leading to significant overheating and the waste of resources. While there is a strong case for a more aggressive approach to fiscal policy, that policy still needs to be grounded in economic realities and reasonable priorities. These are not.

The superficial and the real

Our political system is binary, and both sides are more extreme than reasonable. There seems little patience for the “reasonable middle” where ideas can be nuanced, refined, and complexity of public policy understood. Instead, our leaders are superficial and guide policy with slogans, not thought. People like AOC and Sanders are caricatures, influential yet ignorant and superficial, forming policies while clueless about what it takes to realistically solve even their most critical issues.

They have great ideas on how to distribute wealth but no ideas on how wealth is actually created. Their perspective is to take existing wealth and distribute it to others instead of developing an engine to help more people create wealth. An example of this kind of dysfunctional policy can be found in resource rich African nations. Instead of building industries using the abundant natural resources present as inputs generating real businesses, those resources are simply gathered and distributed – either to efficient businesses in other countries or among governmental cronies to their Swiss bank accounts. Either way, this attitude is disastrous for an economy ultimately. Wealth is created, and policies should free up the ability to create wealth within appropriate legal restrictions.

Define the Problem or You Won’t Solve Anything

Most people have no idea what they are doing. The best intentions combined with intellectual prowess and plentiful capital rarely achieve anything worthwhile. They fail because they don’t know what they’re trying to solve. Nothing can be solved until the problem is defined accurately. Otherwise it is a waste of time and resources (which describes most public policy). All too often decision makers waste time, resources, and make matters worse because they simply do not understand the actual problem they’re trying to solve.

Technology and Turmoil

Productivity, expansion, and entrepreneurship were enabled through the adoption of new technology. Undeniably, the net economic benefit was substantial. But lives were disrupted, jobs were lost, and what would be seen with a historical perspective as an obvious beneficial choice, was anything but obvious to those so immediately and negatively impacted.

Technological advancements produce net benefits for society. But for every advancement, there is a cost. Leadership and subsequent public policy must address this shortfall. As in the past, the solution has been training and education leading to economic inclusion and prosperous lives.

History has taught us the net benefit of technological advancement, the turmoil it brings, and the solution required.