Posts Tagged ‘rock’
“That’s why we have the Museum… to remind us of how we came, and why: to start fresh, and begin a new place from what we had learned and carried from the old”*…
Maya Claire has created a virtual museum– and nearly infinite museum– generated from Wikipedia…
You can find exhibits on millions of topics, from the Architecture of Liverpool to Zoroastrianism. Search for the topic you want to learn about, or just wander from topic to topic as your curiosity dictates!
If you have an OpenXR-compatible headset, you can also visit the MoAT in VR! (Currently, the Oculus Quest is not supported)
The breadth of the museum is made possible by downloading text and images from Wikipedia and Wikimedia Commons. Every exhibit in the museum corresponds to a Wikipedia article. The walls of the exhibit are covered in images and text from the article, and hallways lead out to other exhibits based on the article’s links.
The museum is greatly inspired by educational videos that I watched as a kid, and the liminal spaces produced by early CGI. I want to recapture the promise that the internet can be a place of endless learning and exploration. I hope you enjoy your time exploring the Museum of All Things!…
Download instructions (and more) at “MoAT: The Museum of All Things,” by @may.as (with help from @wikipedia.org).
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As we browse, we might recall that it was on this date in 1974 that Emerson, Lake, and Palmer’s concert film Pictures at an Exhibition had its US premiere in Los Angeles. Their rock adaptation of the piano suite by Modest Mussorgsky was filmed live in 1970 at the Lyceum Theatre in London.
“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.
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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.
“Don’t throw the baby out with the bath water”*…

From Dynomight (and here), an argument that algorithms, while problematic today, aren’t necessarily evil…
What does “algorithmic ranking” bring to mind for you? Personally, I get visions of political ragebait and supplement hucksters and unnecessary cleavage. I see cratering attention spans and groups of friends on the subway all blankly swiping at glowing rectangles. I see overconfident charlatans and the hollow eyes eyes of someone reviewing 83 photo she just made her boyfriend take of her in front of a sunset. Most of all, I see dreams of creative expression perverted into a desperate scramble to do whatever it takes to please the Algorithm.
Of course, lots of people like algorithmic ranking, too.
I theorize that the skeptics are right and algorithmic ranking is in fact bad. But it’s not algorithmic ranking per se that’s bad—it’s just that the algorithms you’re used to don’t care about your goals. That might be an inevitable consequence of “enshittification”, but the solution isn’t to avoid all algorithms, but just to avoid algorithms you can’t control. This will become increasingly important in the future as algorithmic ranking becomes algorithmic everything…
Dynomight elaborates on the problem, its genesis, and a plausible answer: “Algorithmic ranking is unfairly maligned,” from @dynomighty.bsky.social.
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As we rethink rankings, we might recall that on this date in 1969 a group at the top of most lists took it to the roof: The Beatles performed on the rooftop of their Apple Corps headquarters at 3 Savile Row, in central London’s office and fashion district. Joined by guest keyboardist Billy Preston, the band played a 42-minute set before the Metropolitan Police arrived and ordered them to “reduce the volume.” It was the final public performance of their career. The concert ended with “Get Back,” after which John Lennon quipped, “I’d like to say thank you on behalf of the group and ourselves, and I hope we’ve passed the audition.”
The full concert footage is available at the invaluable Internet Archive. Here, a taste of “Get Back”…
“I was conscious that I knew practically nothing”*…
The estimable Nicholas Carr observes that “you don’t make friends by telling people they’re not as smart as they think they are. And you definitely don’t make friends by telling all of humanity that it’s not as smart as it thinks it is. That’s why the philosophical school of Mysterianism has never caught on with the public.” As an amateur Mysterian himself, he reprises a 2017 essay to spread the good word…
By leaps, steps, and stumbles, science progresses. Its seemingly inexorable advance promotes a sense that everything can be known and will be known. Through observation and experiment, and lots of hard thinking, we will come to explain even the murkiest and most complicated of nature’s secrets: consciousness, dark matter, time, the origin and fate of the universe.
But what if our faith in nature’s knowability is just an illusion, a trick of the overconfident human mind? That’s the working assumption behind a school of thought known as Mysterianism. Situated at the fruitful if sometimes fraught intersection of scientific and philosophic inquiry, the Mysterianist view has been promulgated, in different ways, by many prominent thinkers, from the philosopher Colin McGinn to the linguist Noam Chomsky to the cognitive scientist Steven Pinker. The Mysterians propose that human intellect has boundaries and that many of the mysteries of the cosmos will forever lie beyond our comprehension.
Mysterianism is most closely associated with the so-called hard problem of consciousness: How can the inanimate matter of the brain produce subjective feelings? The Mysterians suggest that the human mind is incapable of understanding itself, that we will never know how consciousness works. But if Mysterianism applies to the workings of the mind, there’s no reason it shouldn’t also apply to the workings of nature in general. As McGinn has suggested, “It may be that nothing in nature is fully intelligible to us.”
The simplest and best argument for Mysterianism is founded on evolutionary evidence. When we examine any other living creature, we understand immediately that its intellect is limited. Even the brightest, most curious dog is not going to master arithmetic. Even the wisest of owls knows nothing of the physiology of the field mouse it devours. If all the minds that evolution has produced have bounded comprehension, then it’s only logical that our own minds, also products of evolution, would have limits as well. As Pinker has put it, “The brain is a product of evolution, and just as animal brains have their limitations, we have ours.” To assume that there are no limits to human understanding is to believe in a level of human exceptionalism that seems miraculous, if not mystical.
Mysterianism, it’s important to emphasize, is not inconsistent with materialism [with theism or idealism]. The Mysterians don’t suggest that what’s unknowable has to be spiritual or otherwise otherworldly. They posit that matter itself has complexities that lie beyond our ken. Like every other animal on earth, we humans are just not smart enough to understand all of nature’s laws and workings.
What’s truly disconcerting about Mysterianism is that, if our intellect is bounded, we can never know how much of existence lies beyond our grasp. What we know or may in the future know may be trifling compared with the unknowable unknowns. “As to myself,” remarked Isaac Newton in his old age, “I seem to have been only like a boy playing on the sea-shore, and diverting myself in now and then finding a smoother pebble or a prettier shell than ordinary, whilst the great ocean of truth lay all undiscovered before me.” It may be that we are all like that child on the strand, playing with the odd pebble or shell — and fated to remain so.
Mysterianism teaches us humility. Through science, we have come to understand much about nature, but much more may remain outside the scope of our perception and comprehension. If the Mysterians are right, science’s ultimate achievement may be to reveal to us its own limits…
On unknowable unknowns: Question Marks of the Mysterians, from @roughtype in his terrific newsletter, New Cartographies.
Pair with Flatland (here and here) and Godel’s second incompleteness theorem.
* Socrates (per Plato in Apology 22d)
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As we wonder, we might recall that it was on this date (tough different sources offer different November dates) in 1966 that 96 Tears, the debut studio album by the American garage rock band ? and the Mysterians was released. The title single, which had been released some months earlier was at #1 on the Billboard Hot 100; the album joined the single on the charts for fifteen weeks; the follow-up single “I Need Somebody” charted for ten weeks.
“Do you have the time to listen to me whine?”*…
This year marks the thirtieth anniversary of the release of Green Day‘s Dookie. The band is marking the occasion with a collaboration with the design studio Brain. For your weekend listening pleasure…
When an album hits a big milestone like its 30th anniversary, it gets the usual remasters on the usual formats. But Dookie isn’t a usual album.
Instead of smoothing out its edges and tweaking its dynamic ranges, this version of Dookie has been meticulously mangled to fit on formats with uncompromisingly low fidelity, from wax cylinders to answering machines to toothbrushes. The listening experience is unparalleled, sacrificing not only sonic quality, but also convenience, and occasionally entire verses.
The result is Dookie Demastered: the album that exploded the format of punk rock, re-exploded onto 15 obscure, obsolete, and otherwise inconvenient formats, the way it was never meant to be heard…
Enjoy: “Dookie, Demastered” @GreenDay
* Billie Joe Armstrong / Frank Edwin Wright Iii / Mike Ryan Pritchard, “Basket Case” (on Dookie)
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As we have a blast, we might recall that it was on this date in 2023 that Green Day, still going strong, premiered (at a concert in Las Vegas) “The American Dream Is Killing Me,” which became the first single from their upcoming album Saviors.







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