(Roughly) Daily

Posts Tagged ‘income

“A billion here, a billion there, and pretty soon you’re talking real money”

See how the amount donated by Americans to charity per year compares to the size of outstanding student debt. Or how Walmart’s revenue measures up against Elon Musk’s wealth. Or how the U.S. military budget stacks up against China’s… and so much more.

From the estimable David McCandless and his wonderful site Information is Beautiful, an illustration of how expenses and wealth that run to over a billion dollars compare.

$Billions

Then peruse “$Trillions.”

Senator Everett Dirsen

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As we ponder the pecuniary, we might recall that on this date in 1989, Exxon Valdez, an oil supertanker owned by Exxon Shipping Company, bound for Long Beach, California, struck Prince William Sound‘s Bligh Reef, 6 mi west of Tatitlek, Alaska. The tanker spilled more than 10 million US gallons of crude oil over the next few days.

The Exxon Valdez spill is the second largest in U.S. waters, after the 2010 Deepwater Horizon oil spill, in terms of volume of oil released. It is the costliest disaster ever with no direct human fatalities. The oil, extracted from the Prudhoe Bay Oil Field, eventually affected 1,300 miles of coastline, of which 200 miles were heavily or moderately oiled; and it wreaked havoc with the habitats salmon, sea otters, seals, and seabirds in its path.

Exxon spent an estimated $2 billion cleaning up the spill and a further $1 billion to settle related civil and criminal charges. Exxon was also assessed another $2.5 billion in punitive damages in a suit (Exxon v. Baker)… but that was reduced by the Supreme Court to roughly $500 million. Exxon remained hugely profitable– the process of payment was drawn out over decades and long term damage continues and is not funded by Exxon. Hence, the Exxon spill is often cited as shorthand in conversations about corporate responsibility as a case of accountability for societal damage inadequately enforced.

The Exxon Valdez offloading oil to the Exxon Baton Rouge as oil leaks into the surrounding waters (source)

“An imbalance between rich and poor is the oldest and most fatal ailment of all republics”*…

An illustration depicting a balance scale, with a wealthy individual in formal attire on one side and a crowd of diverse people on the other, symbolizing economic inequality.

The rich in the U.S. just keep getting richer. Over the five decades, incomes have risen materially faster at the very top than anywhere below, and similarly, wealth has accumulated much more quickly at the top than anywhere below. A report from the Stone Center On Socio-Economic Inequality (at CUNY) looks at the mutually-reinforcing relationship between these two dynamics…

Homoploutia describes the situation in which the same people (homo) are wealthy (ploutia) in the space of capital and labor income in some countries. It can be quantified by the share of capital income rich who are also labor income rich. In this paper, we combine several datasets covering different time periods to document the evolution of homoploutia in the United States from 1950 to 2020. We find that homoploutia was low after World War II, has increased by the early 1960s, and then decreased until the mid-1980s. Since 1985 it has been sharply increasing: In 1985, about 17% of adults in the top decile of capital income earners were also in the top decile of labor-income earners. In 2018 this indicator was about 30%. This makes the traditional division between capitalists and laborers less relevant today. It makes periods characterized by high interpersonal inequality, high capital-income ratio, and high capital share of income in the past fundamentally different from the current situation. High homoploutia has far-reaching implications for social mobility and equality of opportunity. We also study how homoploutia is related to total income inequality. We find that rising homoploutia accounts for about 20% of the increase in total income inequality in the United States since 1986…

Note that the report was written in the 2020 (and published in The Review of Income and Wealth in 2023). The dynamic has continued since; the polarizing impact has grown.

Homoploutia: Top Labor and Capital Incomes in the United States, 1950–2020,” from @stone-lis.bsky.social. (Read the full report here.)

[image above: source]

* Plutarch

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As we evaluate equity, we might recall that it was on this date in 1970 that The Oregon Highway Division attempted to destroy a rotting beached Sperm whale with explosives, leading to the now infamous “exploding whale” incident.

Written by (Roughly) Daily

November 12, 2025 at 1:00 am

“Of all the forms of inequality, injustice in health is the most shocking and inhumane”*…

A diverse group of people standing in a queue, waiting for assistance, with expressions showing concern and anticipation.
People wait for an exam at the Care Harbor/LA free clinic that provides free dental work, medical exams, screenings and immunizations, in Los Angeles, California, on September 27, 2012

We tend to encounter data about public health in the form of averages over the population as a whole. But as a recent study published in The Lancet painfully demonstrates, the underlying reality is much more complicated– and alarming…

The differences in U.S. life expectancy are so large it’s as if the population lives in separate Americas instead of one. 

Nearly two decades ago, a team of researchers published the landmark “Eight Americas” study, which examined drivers of U.S. health inequities between 1982 and 2001 by dividing the U.S. population into groups based on geography, race, income, and other factors. 

A new research study, published this month by the University of Washington and the Council on Foreign Relations, revisits that landmark research project, adding two new “Americas” to account for Latino populations. 

This new study finds that U.S. life expectancy disparities have grown over the last two decades between 2001 and 2021, with the differences between the best and worst of those “Americas” increasing from 12.6 years in 2000 to 20.4 years in 2021. COVID-19 exacerbated this divide, but gaps in longevity had already been growing before the pandemic hit…

Line graph displaying life expectancy trends in the United States from 2000 to 2020, highlighting disparities among different racial and geographic groups. The graph shows fluctuations in life expectancy and indicates the impact of the COVID-19 pandemic on these trends.

The 10 Americas: How Geography, Race, and Income Shape U.S. Life Expectancy,” from @thinkglobalhealth.org. Both this summary article and the underlying paper are eminently worth reading in full.

* Martin Luther King, Jr.

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As we unpack unfairness, we might send preventative birthday greetings to Ernst Wynder; he was born on this date in 1922. An epidemiologist and public health researcher, he is best remembered for his pioneering work in identifying the link (in 1950) between smoking and lung cancer.

Wynder devoted his career to the study and prevention of cancer and chronic disease, publishing hundreds of scientific papers. Through the 1950s and 1960s, he worked at Sloan-Kettering Institute for Cancer Research. In 1969, he founded the American Health Foundation. In 1972, he founded the academic journal Preventive Medicine and served as the founding editor.

A black and white portrait of Ernst Wynder, a prominent epidemiologist and public health researcher known for his work linking smoking to lung cancer.

source

“Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital.”*…

Former Comptroller of the Currency Eugene Ludwig argues that, at least insofar as many (maybe most) Americans are concerned, unemployment is higher, wages are lower, and growth is less robust than government statistics suggest…

Before the presidential election, many Democrats were puzzled by the seeming disconnect between “economic reality” as reflected in various government statistics and the public’s perceptions of the economy on the ground. Many in Washington bristled at the public’s failure to register how strong the economy really was. They charged that right-wing echo chambers were conning voters into believing entirely preposterous narratives about America’s decline.

What they rarely considered was whether something else might be responsible for the disconnect — whether, for instance, government statistics were fundamentally flawed. What if the numbers supporting the case for broad-based prosperity were themselves misrepresentations? What if, in fact, darker assessments of the economy were more authentically tethered to reality?

On some level, I relate to the underlying frustrations. Having served as comptroller of the currency during the 1990s, I‘ve spent substantial chunks of my career exploring the gaps between public perception and economic reality, particularly in the realm of finance. Many of the officials I’ve befriended and advised over the last quarter-century — members of the Federal Reserve, those running regulatory agencies, many leaders in Congress — have told me they consider it their responsibility to set public opinion aside and deal with the economy as it exists by the hard numbers. For them, government statistics are thought to be as reliable as solid facts.

In recent years, however, as my focus has broadened beyond finance to the economy as a whole, the disconnect between “hard” government numbers and popular perception has spurred me to question that faith. I’ve had the benefit of living in two realms that seem rarely to intersect — one as a Washington insider, the other as an adviser to lenders and investors across the country. Toggling between the two has led me to be increasingly skeptical that the government’s measurements properly capture the realities defining unemployment, wage growth and the strength of the economy as a whole.

These numbers have time and again suggested to many in Washington that unemployment is low, that wages are growing for middle America and that, to a greater or lesser degree, economic growth is lifting all boats year upon year. But when traveling the country, I’ve encountered something very different…

… Within the nation’s capital, this gap in perception has had profound implications. For decades, a small cohort of federal agencies have reported many of the same economic statistics, using fundamentally the same methodology or relying on the same sources, at the same appointed times. Rarely has anyone ever asked whether the figures they release hew to reality. Given my newfound skepticism, I decided several years ago to gather a team of researchers under the rubric of the Ludwig Institute for Shared Economic Prosperity to delve deeply into some of the most frequently cited headline statistics.

What we uncovered shocked us. The bottom line is that, for 20 years or more, including the months prior to the election, voter perception was more reflective of reality than the incumbent statistics. Our research revealed that the data collected by the various agencies is largely accurate. Moreover, the people staffing those agencies are talented and well-intentioned. But the filters used to compute the headline statistics are flawed. As a result, they paint a much rosier picture of reality than bears out on the ground.

Take, as a particularly egregious example, what is perhaps the most widely reported economic indicator: unemployment. Known to experts as the U-3, the number misleads in several ways. First, it counts as employed the millions of people who are unwillingly under-employed — that is, people who, for example, work only a few hours each week while searching for a full-time job. Second, it does not take into account many Americans who have been so discouraged that they are no longer trying to get a job. Finally, the prevailing statistic does not account for the meagerness of any individual’s income. Thus you could be homeless on the streets, making an intermittent income and functionally incapable of keeping your family fed, and the government would still count you as “employed.”

I don’t believe those who went into this past election taking pride in the unemployment numbers understood that the near-record low unemployment figures — the figure was a mere 4.2 percent in November — counted homeless people doing occasional work as “employed.” But the implications are powerful. If you filter the statistic to include as unemployed people who can’t find anything but part-time work or who make a poverty wage (roughly $25,000), the percentage is actually 23.7 percent. In other words, nearly one of every four workers is functionally unemployed in America today — hardly something to celebrate…

[Ludwig similarly analyzes data on wages, inflation, and GDP, finding them similarlly flawed…]

… Take all of these statistical discrepancies together. What we have here is a collection of economic indicators that all point in the same misleading direction. They all shroud the reality faced by middle- and lower-income households. The problem isn’t that some Americans didn’t come out ahead after four years of Bidenomics. Some did. It’s that, for the most part, those living in more modest circumstances have endured at least 20 years of setbacks, and the last four years did not turn things around enough for the lower 60 percent of American income earners.

To be fair, the prevailing indicators aren’t without merit. It is, for example, useful to know how the wages of full-time employees have evolved. The challenge, quite separate from any quibbling with the talented people working to tell the nation’s economic story, is to provide policymakers with a full picture of the reality faced by the bulk of the population. What we need is to find new ways to provide a more realistic picture of the nation’s underlying economic conditions on a monthly basis. The indicators my colleagues and I have constructed could serve as the basis for or inspiration for government-sponsored alternatives. Regardless, something needs to change.

This should not be a partisan issue — policymakers in both parties would benefit from gleaning a more accurate sense of what’s happening at the ground level of the American economy. In reality, both Democrats and Republicans were vulnerable to being snowed in the 2024 cycle — it just happened that the dissatisfaction during this particular cycle undermined the incumbent party.

In an age where faith in institutions of all sorts is in free fall, Americans are perpetually told, per a classic quote from former Sen. Daniel Patrick Moynihan, that while we may be entitled to our own opinions, we aren’t entitled to our own facts. That should be right, at least in the realm of economics. But the reality is that, if the prevailing indicators remain misleading, the facts don’t apply. We have it in our grasp to cut through the mirage that led Democrats astray in 2024. The question now is whether we will correct course…

On the need to revise our economic reference statistics: “Voters Were Right About the Economy. The Data Was Wrong.” from @LISEP_org in @POLITICOMag. Eminently worth reading in full.

More on (and more-current readings of) the suggested “revised metrics” at the Ludwig Institute for Shared Economic Prosperity.

Aaron Levenstein

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As we muse on measurement and meaning, we might recall that it was on this date in 1979 that The Cars released “Good Times Roll,” the third single from their eponymously-titled debut album.

source

Written by (Roughly) Daily

February 20, 2025 at 1:00 am

“And these children that you spit on / “As they try to change their worlds / Are immune to your consultations. / They’re quite aware of what they’re going through.”*…

From our friends at The Pudding— specifically, from Alvin Chang— a thorough (and illuminating and bracing) look at how the conditions in which our young are raised have everything to do with how their lives unfold…

In this story, we’ll follow hundreds of teenagers for the next 24 years, when they’ll be in their late-30s. They’re among the thousands of kids who are part of the National Longitudinal Survey of Youth. This means researchers have followed them since their teenage years to the present day – and beyond.

As Matt Muir observes in his invaluable Web Curios

… Very North America-centric in terms of the data it’s drawing on, but wherever you are in the world the themes that it speaks to will apply – drawing on data about the life experiences of young people tracked by US statisticians….

As you scroll you see visual representations of the proportion of kids in each agegroup coterie who will experience ‘significant’ life events, from crime to poverty and beyond, and how those life events will go on to impact their academic prospects and, eventually, their life prospects – none of this should be surprising, but it’s a hugely-effective way of communicating the long-term impacts of relatively small differences in early-stage life across a demographic swathe…

Data visualization at its best and most compelling: “This Is a Teenager,” from @alv9n in @puddingviz via @Matt_Muir.

* David Bowie, “Changes”

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As we analyze adolescence, we might recall that it was on this date in 1961 that the Cleftones, a group of teens who had formed a vocal group a 3 years earlier in high school, released “Heart and Soul” (a rearrangement of the 1938 standard); it reached #18 on the pop chart and #10 on the R&B chart and was later used in the 1973 movie American Graffiti.

Then fifteen-year-old Duane Hitchings, who went on to win a Grammy award for his work on the Flashdance soundtrack in 1984, played keyboards on the track– his first professional gig. In an interview with Rock United, he recalls that the recording session was cut short when singer Pat Spann, who was dating drummer Panama Francis, was caught in a compromising position with the guitarist. “That ended the session. So the last track we recorded was the record.”