The Simon Abundance Index (SAI) quantifies and measures the relationship between resources and population. The SAI converts the relative abundance of 50 basic commodities and the global population into a single value. The index started in 1980 with a base value of 100. In 2023, the SAI stood at 609.4, indicating that resources have become 509.4 percent more abundant over the past 43 years. All 50 commodities were more abundant in 2023 than in 1980.

Figure 1: The Simon Abundance Index: 1980–2023 (1980 = 100)

The SAI is based on the ideas of University of Maryland economist and Cato Institute senior fellow Julian Simon, who pioneered research on and analysis of the relationship between population growth and resource abundance. If resources are finite, Simon’s opponents argued, then an increase in population should lead to higher prices and scarcity. Yet Simon discovered through exhaustive research over many years that the opposite was true. As the global population increased, virtually all resources became more abundant. How is that possible?

Simon recognized that raw materials without the knowledge of how to use them have no economic value. It is knowledge that transforms raw materials into resources, and new knowledge is potentially limitless. Simon also understood that it is only human beings who discover and create knowledge. Therefore, resources can grow infinitely and indefinitely. In fact, human beings are the ultimate resource.

Visualizing the Change

Resource abundance can be measured at both the personal level and the population level. We can use a pizza analogy to understand how that works. Personal-level abundance measures the size of an individual pizza slice. Population-level abundance measures the size of the entire pizza pie. The pizza pie can get larger in two ways: the slices can get larger, or the number of slices can increase. Both can happen at the same time.

Growth in resource abundance can be illustrated by comparing two box charts. Create the first chart, representing the population on the horizontal axis and personal resource abundance on the vertical axis. Draw a yellow square to represent the start year of 1980. Index both population and personal resource abundance to a value of one. Then draw a second chart for the end year of 2023. Use blue to distinguish this second chart. Scale it horizontally for the growth in population and vertically for the growth in personal resource abundance from 1980. Finally, overlay the yellow start-year chart on the blue end-year chart to see the difference in resource abundance between 1980 and 2023.

Figure 2: Visualization of the Relationship between Global Population Growth and Personal Resource Abundance of the 50 Basic Commodities (1980–2023)

Between 1980 and 2023, the average time price of the 50 basic commodities fell by 70.4 percent. For the time required to earn the money to buy one unit of this commodity basket in 1980, you would get 3.38 units in 2023. Consequently, the height of the vertical personal resource abundance axis in the blue box has risen to 3.38. Moreover, during this 43-year period, the world’s population grew by 3.6 billion, from 4.4 billion to over 8 billion, indicating an 80.2 percent increase. As such, the width of the blue box on the horizontal axis has expanded to 1.802. The size of the blue box, therefore, has grown to 3.38 by 1.802, or 6.094 (see the middle box in Figure 2).

As the box on the right shows, personal resource abundance grew by 238 percent; the population grew by 80.2 percent. The yellow start box has a size of 1.0, while the blue end box has a size of 6.094. That represents a 509.4 percent increase in population-level resource abundance. Population-level resource abundance grew at a compound annual rate of 4.3 percent over this 43-year period. Also note that every 1-percentage-point increase in population corresponded to a 6.35-percentage-point increase in population-level resource abundance (509.4 ÷ 80.2 = 6.35).

Individual Commodity Changes: 1980–2023

As noted, the average time price of the 50 basic commodities fell by 70.4 percent between 1980 and 2023. As such, the 50 commodities became 238.1 percent more abundant (on average). Lamb grew most abundant (675.1 percent), while the abundance of coal grew the least (30.7 percent).

Figure 3: Individual Commodities, Percentage Change in Time Price and Percentage Change in Abundance: 1980–2023

Individual Commodity Changes: 2022–2023

The SAI increased from a value of 520.1 in 2022 to 609.4 in 2023, indicating a 17.1 percent increase. Over those 12 months, 37 of the 50 commodities in the data set increased in abundance, while 13 decreased in abundance. Abundance ranged from a 220.8 percent increase for natural gas in Europe to a 38.9 percent decrease for oranges.

Figure 4: Individual Commodities, Percentage Change in Abundance: 2022–2023

Conclusion

After a sharp downturn between 2021 and 2022, which was caused by the COVID-19 pandemic, government lockdowns and accompanying monetary expansion, and the Russian invasion of Ukraine, the SAI is making a strong recovery. As noted, since 1980 resource abundance has been increasing at a much faster rate than population. We call that relationship superabundance. We explore this topic in our book Superabundance: The Story of Population Growth, Innovation, and Human Flourishing on an Infinitely Bountiful Planet.

Appendix A: Alternative Figure 1 with a Regression Line, Equation, R-Square, and Population

Appendix B: The Basic 50 Commodities Analysis: 1980–2023

Appendix C: Why Time Is Better Than Money for Measuring Resource Abundance

To better understand changes in our standard of living, we must move from thinking in quantities to thinking in prices. While the quantities of a resource are important, economists think in prices. This is because prices contain more information than quantities. Prices indicate if a product is becoming more or less abundant.

But prices can be distorted by inflation. Economists attempt to adjust for inflation by converting a current or nominal price into a real or constant price. This process can be subjective and contentious, however. To overcome such problems, we use time prices. What is most important to consider is how much time it takes to earn the money to buy a product. A time price is simply the nominal money price divided by the nominal hourly income. Money prices are expressed in dollars and cents, while time prices are expressed in hours and minutes. There are six reasons time is a better way than money to measure prices.

First, time prices contain more information than money prices do. Since innovation lowers prices and increases wages, time prices more fully capture the benefits of valuable new knowledge and the growth in human capital. To just look at prices without also looking at wages tells only half the story. Time prices make it easier to see the whole picture.

Second, time prices transcend the complications associated with converting nominal prices to real prices. Time prices avoid subjective and disputed adjustments such as the Consumer Price Index (CPI), the GDP Deflator or Implicit Price Deflator (IPD), the Personal Consumption Expenditures price index (PCE), and the Purchasing Power Parity (PPP). Time prices use the nominal price and the nominal hourly income at each point in time, so inflation adjustments are not necessary.

Third, time prices can be calculated on any product with any currency at any time and in any place. This means you can compare the time price of bread in France in 1850 to the time price of bread in New York in 2023. Analysts are also free to select from a variety of hourly income rates to use as the denominator when calculating time prices.

Fourth, time is an objective and universal constant. As the American economist George Gilder has noted, the International System of Units (SI) has established seven key metrics, of which six are bounded in one way or another by the passage of time. As the only irreversible element in the universe, with directionality imparted by thermodynamic entropy, time is the ultimate frame of reference for almost all measured values.

Fifth, time cannot be inflated or counterfeited. It is both fixed and continuous.

Sixth, we have perfect equality of time with exactly 24 hours in a day. As such, we should be comparing time inequality, not income inequality. When we measure differences in time inequality instead of income inequality, we get an even more positive view of the global standards of living.

These six reasons make using time prices superior to using money prices for measuring resource abundance. Time prices are elegant, intuitive, and simple. They are the true prices we pay for the things we buy.

The World Bank and the International Monetary Fund (IMF) track and report nominal prices on a wide variety of basic commodities. Analysts can use any hourly wage rate series as the denominator to calculate the time price. For the SAI, we created a proxy for global hourly income by using data from the World Bank and the Conference Board to calculate nominal GDP per hour worked.

With this data, we calculated the time prices for all 50 of the basic commodities for each year and then compared the change in time prices over time. If time prices are decreasing, personal resource abundance is increasing. For example, if a resource’s time price decreases by 50 percent, then for the same amount of time you get twice as much, or 100 percent more. The abundance of that resource has doubled. Or, to use the pizza analogy, an individual slice is twice as large. If the population increases by 25 percent over the same period, there will be 25 percent more slices. The pizza pie will thus be 150 percent larger [(2.0 x 1.25) – 1].

Summary: The affordability of gasoline varies significantly worldwide due to varying taxes and subsidies. Analyzing the GDP per hour worked against the money price per gallon shows that the United States emerges as the most affordable country for purchasing gasoline, even compared to nations where gasoline prices are heavily subsidized by the government.

According to GlobalPetrolPrices.com, the average price of gasoline around the world is USD5.03 per gallon. However, there is substantial difference in these prices among countries due to the various taxes and subsidies for gasoline. All countries have access to the same petroleum prices of international markets, but countries do not all impose the same taxes. As a result, the retail price of gasoline varies significantly.

The money price of 16 selected countries ranges from $2.26 in Russia to $8.55 in Denmark. But what about the time price? To calculate the time price, we first calculated the GDP per hour worked in each country. The data to calculate this ratio come from the World Bank and the Conference Board.

We then divided GDP per hour worked by the money price per gallon. This gave us the gallons of gasoline that one hour of work would buy in each country:

We also divided the nominal price per gallon by GDP per hour worked to get the minutes required per gallon:

This chart illustrates how much more expensive relative to the US the other 15 countries are in terms of time price:

Of the 16 countries analyzed, the US is by far the most affordable place to buy gasoline. There are other countries where gasoline is more affordable, but the gasoline price in those countries is heavily subsidized by government.

Tip of the Hat: Jeremy Horpendahl

This article was published at Gale Winds on 4/1/2024.

Summary: Energy is indispensable for societal progress and well-being, yet many regions, particularly in the Global South, lack reliable electricity access. Traditional approaches to electrification, often reliant on charity or government aid, have struggled to address these issues effectively. However, a unique solution is emerging through bitcoin mining, where miners leverage excess energy to power their operations. This approach bypasses traditional barriers to energy access, offering a decentralized and financially sustainable solution.

Energy is life. For the world and its inhabitants to live better lives—freer, richer, safer, nicer, and more comfortable lives—the world needs more energy, not less. There are no rich, low-energy countries and no poor, high-energy countries.

“Energy is the only universal currency; it is necessary for getting anything done,” in Canadian-Czech energy theorist Vaclav Smil’s iconic words.

In an October 2023 report for the Alliance for Responsible Citizenship on how to bring electricity to the world’s poorest 800 million people, Robert Bryce, author of A Question of Power: Electricity and the Wealth of Nations, sums it as follows:

Electricity matters because it is the ultimate poverty killer. No matter where you look, as electricity use has increased, so has economic growth. Having electricity does not guarantee wealth. But its absence almost always means poverty. Indeed, electricity and economic growth go hand in hand.

To supply electricity on demand to many of those people, especially in the Global South, grids need to be built in the first place and then have enough extra capacity to ramp up production when needed. That requires overbuilding, which is expensive and wasteful, and the many consumers of the Global South are poor.

Adding to the trouble are the abysmal formal institutions of property rights and rule of law in many African countries, and the layout of the land becomes familiar: corruption and fickle property rights make foreign, long-term investments basically impossible; poor populations mean that local purchasing power is low and usually not worth the investment risk.

What’s left are slow-moving charity and bureaucratic government development aid, both of which suffer from terrible incentives, lack of ownership, and running into their own sort of self-serving corruption.

In “Stranded,” a long-read for Bitcoin Magazine, Human Rights Foundation’s Alex Gladstein accounted for his journey into the mushrooming electricity grids of sub-Saharan Africa: “Africa remains largely unable to harness these natural resources for its economic growth. A river might run through it, but human development in the region has been painfully reliant on charity or expensive foreign borrowing.”

Stable supply of electricity requires overbuilding; overbuilding requires stable property rights and rich enough consumers over which to spread out the costs and financially recoup the investment over time. Such conditions are rare. Thus, the electricity-generating capacity won’t be built in the first place, and most of Africa becomes dark when the sun sets.

Gladstein reports that a small hydro plant in the foothills of Mount Mulanje in Malawi, even though it was built and financed by the Scottish government, still supplies exorbitantly expensive electricity—around 90 cents per kilowatt hour—with most of its electricity-generating capacity going to waste.

What if there were an electricity user, a consumer-of-last-resort, that could scoop up any excess electricity and disengage at a moment’s notice if the population needed that power for lights and heating and cooking? A consumer that could co-locate with the power plants and thus avoid having to build out miles of transmission lines.

With that kind of support consumer—guaranteeing revenue by swallowing any excess generation, even before any local homes have been connected—the financial viability of the power plants could make the construction actually happen. It pays for itself right off the bat, regardless of transmissions or the disposable income of nearby consumers.

If so, we could bootstrap an electricity grid in the poorest areas of the world where neither capitalism nor central planning, neither charity worker nor industrialist, has managed to go. That consumer of last resort could accelerate electrification of the world’s poorest and monetize their energy resilience. That’s what Gladstein went to Africa to investigate the bourgeoning industry of bitcoin miners electrifying the continent.

Bitcoin Saves the World: Energy-Poverty Edition

Africa is used to large enterprises digging for minerals. The bitcoin miners springing forth all over the continent are different. They don’t need to move massive amounts of land and soil and don’t pollute nearby rivers. They operate by running machines that guess large numbers, which is the cryptographic method that secures bitcoin and confirms its transaction blocks. All they need to operate is electricity and an internet connection.

By co-locating and building with electricity generation, bitcoin miners remove some major obstacles to bringing power to the world’s poorest billion. In the rural area of Malawi that Gladstein visited, there was nowhere to offload the expensive hydro power and no financing to connect more households or build transmission lines to faraway urban areas: “The excess electricity couldn’t be sold, so the power stations built machines that existed solely to suck up the unused power.”

Bitcoin miners are in a globally competitive race to unlock patches of unused energy everywhere, so in came Gridless, an off-grid bitcoin miner with facilities in Kenya and Malawi. Any excess power generation in these regions is now comfortably eaten up by the company’s onsite mining machines—the utility company receiving its profit share straight in a bitcoin wallet of its own control, no banks or governments blocking or delaying international payments, and no surprise government currency devaluations undercutting its purchasing power.

No aid, no government, no charity; just profit-seeking bitcoiners trying to soak up underused energy. Gladstein observes:

One night during my visit to Bondo, Carl asked me to pause as the sunset was fading, to look at the hills around us: the lights were all turning on, all across the foothills of Mt. Mulanje. It was a powerful sight to see, and staggering to think that Bitcoin is helping to make it happen as it converts wasted energy into human progress. . . .

Bitcoin is often framed by critics as a waste of energy. But in Bondo, like in so many other places around the world, it becomes blazingly clear that if you aren’t mining Bitcoin, you are wasting energy. What was once a pitfall is now an opportunity.

For decades, our central-planning mindset had us “help” the Global South by directing resources there—building things we thought Africans needed, sending money to (mostly) corrupt leaders in the hopes that schools be built or economic growth be kick-started. We squandered billions in goodhearted nongovernmental organization projects.

Even for an astute and serious energy commentator as Bryce, not once in his 40-page report on how to electrify the Global South did it occur to him that bitcoin miners—the very people who are turning the lights on for the poorest in the world—could play a crucial role in achieving that.

It’s so counterintuitive and yet, once you see it, so obvious. In the end, says Gladstein, it won’t be the United Nations or rich philanthropists that electrifies Africa “but an open-source software network, with no known inventor, and controlled by no company or government.”