In this post, I want to consider a hypothetical national dashboard comprising important metrics that measure the economy, human well-being, and long-term progress. It’s hypothetical because even though all these metrics are measured today, not all of them are getting equal attention in the government and the media.
In This Post
- Show Me the Numbers
- Can We Measure Progress?
- A National Dashboard
- Upstream Drivers of Long-Term Progress
- A Possible Set of 11 Metrics
- More Options
- Global Focus
Show Me the Numbers
As someone who studied economics and business and spent over a decade working in the private sector, I’ve been long dismayed by how little focus there is on numbers in government and media reporting. To the extent politicians focus on numbers, they typically pick the ones that support their narrative and seem relevant to this week’s news cycle. 
I wonder if there’s a better way. What if the order was reversed? What if we came together as a society and determined (1) what things we would most like to improve, (2) the best way to measure the progress, and (3) the best way to report on it and future plans? What if we then used this framework to guide the public conversation, media reporting, and perhaps even some press briefings by White House?
The idea is not new, of course. And many people have already tried to popularize it. Recently, Andrew Young got many people excited when he proposed the idea of the American scorecard and — taking the idea to extreme — suggested that the president use PowerPoint to report on progress.
So what’s the problem?
The problem isn’t as much that we aren’t measuring things.  The problem is threefold:
- There is little national and global public consensus regarding which indicators matter most.
- There is limited accountability when it comes to moving these numbers up and publicly reporting on them in a structured way and with a regular cadence.
- Media focus can sometimes be misplaced, haphazard, pessimistically biased, localist, and short-term focused.
Can We Measure Progress?
First, we might want to agree on what human progress is. And since this conversation can get rather complicated and heated quickly, it might make sense to focus on things that people value universally. Here is a relevant quote from Steven Pinker’s Enlightenment Now:
“What is progress? You might think that the question is so subjective and culturally relative as to be forever unanswerable. In fact, it’s one of the easier questions to answer. Most people agree that life is better than death. Health is better than sickness. Sustenance is better than hunger. Abundance is better than poverty. Peace is better than war. Safety is better than danger. Freedom is better than tyranny. Equal rights are better than bigotry and discrimination. Literacy is better than illiteracy. Knowledge is better than ignorance. Intelligence is better than dull-wittedness. Happiness is better than misery. Opportunities to enjoy family, friends, culture, and nature are better than drudgery and monotony. All these things can be measured. If they have increased over time, that is progress.”
It’s true that “not everything that counts can be counted, and not everything that can be counted counts”. But we can still count most things that matter.
A National Dashboard
Imagine a regularly updated dashboard that shows 10 to 20 metrics that are widely viewed as important. Click and see the latest 20-bullet plan — updated quarterly and aimed at improving the metric in the 1-year to 5-year horizon. Submit your questions and upvote others’ to hear the answers in the next live televised Q&A.
There is an infinite number of dashboards one can create. In fact, many already exist.
I think for the idea to gain wide adoption in a given country, people would need to answer several questions collectively. Here are just a few to ponder:
- What should we track?
- What matters most at the national level?
- What can be measured well and is hard to manipulate?
- How can the full set of metrics balance individual ones out?
- Can we track leading indicators as well as lagging indicators?
- What metrics are so straightforward that everyone can understand them?
- What incentives will be strengthened and weakened if we focus on these metrics — including perverse incentives?
- What’s the right frequency and meaningful timeframe?
- Who should be accountable, who should present, how detailed should the presented vs. published plans be, etc.
Upstream Drivers of Long-Term Progress
One danger of looking at lagging indicators only is that they might not be actionable. And we might not take action necessary to ensure long-term progress. So we should also be asking ourselves what upstream drivers of progress are. In other words, we should consider leading indicators as well.
What drives human progress is, of course, a matter of intense debate. But let’s assume that the following three are at least the major part of the picture:
- Universal global access to education and opportunity.
- Fundamental research in universities and labs: theoretical physics, etc.
- Real-life application and distribution of new technologies: new startup creation, engineering, corporate R&D, etc.
These three create a strong virtuous circle. More talented people → more foundational knowledge → more prosperity.
With all that in mind I decided to do a fun thought exercise and come up with a possible set of metrics that could capture how we’re doing at the national level.
A Possible Set of 11 Metrics
- GDP (PPP) per capita growth
- Growth of median net disposable income
- Growth of median net worth
- Median life expectancy and healthy life expectancy
- Subjective life evaluation (aka happiness)
- Depression rates
- Crime rate
- Suicide rates
- Education quality
- Funding of fundamental research
- New business creation
Plus, we should consider where we stand in the global ranking on each of these.
So what could this dashboard look like for the US in 2021? Let’s look at all these metrics one by one.
1. GDP (PPP) per Capita Growth
GDP metric has many problems — not all goods and services are equally “good” for humankind — but it’s also a good proxy and starting place. And we know that growth in itself has been historically important for getting people out of the zero-sum game mindset. There have also been multiple attempts to account for its limitations.
2. Growth of Median Net Disposable Income (Accounting for Debt, Rent, and Healthcare?)
Looking at median numbers should help us partially account for inequality.
Source: OECD Statistics
An important question here is what constitutes “net”. What should we adjust for?
For example, if we want to create the right incentives to increase everyone’s prosperity, should we subtract rent payments, loan payments, and healthcare expenditures — given how much is spent on these three and given the differences among countries?
In other words, does a person who earns a post-tax income of $100K but spends $80 on rent, student loan payments, health insurance, and medical bills, really have $100K in disposable income?
3. Growth of Median Net Worth
I also wonder about the best way to adjust these numbers for the cost of living. Doing this might be more tricky than it might seem given the differences in how much different goods and services cost in different countries and in different regions/states.
Healthcare, for example, is notoriously expensive in the US and is arguably more important than some other services and goods. In fact, healthcare, education, and housing — three things that people tend to value all get more expensive despite the inflation rate staying relatively low:
Source: Aei.org and Bls.org
4. Median Life Expectancy and Healthy Life Expectancy
US life expectancy:
Source: United Nations
Source: World Health Organization
Healthy life expectancy is life expectancy minus years of living with disability.
Top 30 countries:
Source: World Health Organization, 2019
In my mind, the biggest challenge with tracking things like life expectancy and other well-being metrics is that it’s hard to increase them quickly. It might be more productive to ask questions like “where should we invest today to achieve the greatest improvement 10 years from now”? This timeframe doesn’t square very well with four-year terms. But this is also solvable. For example, long-term plans with built-in “fail fast” type of validation and testing can be developed.
5. Subjective Life Evaluation (Aka Happiness)
Source: World Happiness Report, 2021
I wasn’t able to find a chart showing how the US score reported by WHR changed over time, but Gallup is reporting a similar metric:
6. Depression Rates
7. Crime Rates
Source: Pew Research
Top 30 countries by homicide rate:
Source: United Nations
Many countries are simply too small, so the list is noisy.
8. Suicide Rates
The top list looks noisy — likely due to underreporting.
Long-Term and Leading Indicators
9. Education Quality
This one is tricky to measure, just like healthcare quality. But there have been attempts. This is one of them:
It’s not easy to find a chart showing how the US scores and ranking changed over time.
Another thing to consider is universities. The US is dominating the list of best universities in the world but there is not an easy way to quantify that dominance and track it over time. Perhaps citations in the relevant fields (e.g. STEM) can be considered as a proxy?
10. Funding of Fundamental Research
Total R&D funded by the US government (red line). It might be better to show it as a percentage of GDP:
Business-funded R&D is great, but it cannot replace government funding. Businesses and venture capital funds are quite risk-verse. Despite what they might claim, they rarely invest in technologies with long-term time horizons and unclear payoffs.
As % of GDP by country:
11. New Business Creation
Here is an imperfect proxy. It might also make sense to consider new business formation in certain sectors, e.g. technology.
Here are some additional metrics I’d consider:
- More and better long-term metrics and leading indicators of progress — how do we know we’re accelerating it?
- Top priority metrics on the state and country level.
- Additional well-being metrics: healthcare, preventable deaths, poverty, equality, social trust levels, etc.
- Additional economic metrics: intergenerational economic mobility, unemployment, labor participation, etc.
- Individual rights and freedoms: economic freedom, personal freedom, press freedom, etc.
- Social institutions: independent courts, fair elections, corruption, etc.
- Top 2–3 metrics for each major sector of the economy. For example, the average train speed and deaths/injuries per distance traveled can be used to evaluate progress in the transportation sector.
- Additional long-term metrics focused on risks/opportunities: automation and AI, climate (e.g. CO2 in the atmosphere), etc.
This was in a way US-centric. I believe developing a framework for global reporting might be even more important than driving accountability and focus on the national level. This is because so many countries are still lagging in terms of many of these metrics, but also in terms of governments’ accountability. Sustainable Development Goals are great but they focus more on the current problems and miss long-term opportunities.
Beyond this, we should also consider system-level metrics in addition to national ones. For example, global mobility, international trade, global trust, and other ways to measure global collaboration.
But let’s get back to the idea of the national dashboard…
What else would you like the government to regularly report on and present plans about?
Where would this approach fail?
How would you improve it?
 And even when there is a continuous focus on a set of numbers, it’s often on seemingly arbitrary numbers. For instance, even the Wall Street Journal website still seems to suggest that performance of 30 arbitrarily selected companies is the most important metric to focus on and that the most meaningful time interval to consider is 24 hours.
 There is also amazing Our World in Data founded by Max Roser, a website that aggregates important metrics from multiple sources and shows them in a user-friendly way. And there are many government agencies and independent organizations doing analysis and reporting on all kinds of metrics.