The Structure of Scientific Revolutions (Modern Library Nonfiction #69)

(This is the thirty-second entry in The Modern Library Nonfiction Challenge, an ambitious project to read and write about the Modern Library Nonfiction books from #100 to #1. There is also The Modern Library Reading Challenge, a fiction-based counterpart to this list. Previous entry: The Strange Career of Jim Crow.)

When I was a child in the 1980s, I observed many men in early middle age (i.e., my mother’s dates) using the word “paradigm” in everyday conversation.  At the time, my freshly budding mind associated the word “paradigm” with a specific series of television commercials known to frighten small animals that were then airing ubiquitously on UHF stations. These ads featured an exploding volcano and kept referencing something called “Dianetics” — an alleged “spiritual ideology” that had been devised by some guy named L. Ron Hubbard. 

Even in my younger days, I possessed enough critical thinking skills to detect that all this igneous noise between reruns of What’s Happening!! and Star Trek represented a business venture more than a religion. Years later, when I learned all about L. Ron’s grand scam, I realized that I hadn’t been far off.  Much like the man who had told my mother “There’s something of the devil in that boy” when I blossomed into a young atheist and started poking holes in the Bible during Sunday school after I was dragged against my will to church. This is probably why I took a shine to history and felt closest to “heretics” like Socrates, Joan of Arc, Oscar Wilde, and Galileo before I had even started fourth grade.

The commercials all featured a yammering synthesizer intended to suggest Vangelis-style import, with accompanying title cards citing allegedly seminal questions from the book.  But this manufactured cacophony only succeeded in giving me a throbbing headache.

I asked many of these men what “paradigm” and “Dianetics” were. They all told me that I was far too young to be positing such questions and proceeded to guzzle down more beer in one sitting than the weekly limit established by the National Institute on Alcohol Abuse and Alcoholism.

Nearly all of these men were balding and many of them had extremely thick mustaches. Now millennial hipsters can boast all they like about the soi-disant “lumberjack” movement in Williamsburg in the early 2010s or even the “slutty little mustache” that was popular for a while in dive bars.  But they had nothing on the thirtysomething and fortysomething men of that era. You see, after the sideburns craze of the 1970s, men who suffered from male pattern baldness had an overwhelming desire to grow hair in places where it could still grow — in large part because there was still an inexplicable shame in being bald.  (When I decided to go bald in my thirties after the curls above my forehead receded to a threadbare thatch that resembled a malfunctioning Chia pet, I eschewed mustaches.  Every time I tried to grow one, I looked like some gay porn star who had been flown in from Düsseldorf. And while I won’t gainsay that there were certain lovers who appreciated this aesthetic, particularly when my swiftly grown and objectively preposterous mustache was accompanied by my fairly accurate “bam-chikka-chikka” impression of period detail porn music in the boudoir, my great respect for the admirable mustache growers of the 1980s (along with my desire to eliminate the possibility of terrorizing strangers) curtails any need to sprout hair above my upper lip.)

You might say that the mustache trend among balding men in the 1980s was its own paradigm waiting for the likes of Sean Connery and Patrick Stewart (both not Americans) to demonstrate that it was okay to be bald and only grow facial hair if your face could pull it off.  But at the time, none of the men (even the ones without mustaches) could explain to me why they grew mustaches or even what a “paradigm” was. So I came to associate “paradigm” with cockamamie get-rich-quick schemes. Given that many used car salesmen during the Reagan era had mustaches (a detail that Robin Williams picked up in Cadillac Man), it all made sense within my young free associative mind.

It was not until I read Thomas S. Kuhn’s The Structure of Scientific Revolutions this year — a book that was one of the most frequently cited texts from 1976 to 1983 and a volume that I had put off reading for decades — that I started to more properly understand that “paradigm” was more correctly associated with knowledge, not dubious capitalist ventures. And that difference is vital to delineate in our age of limitless techbro grifters muddying the waters (quite literally with their data centers) with only a third-hand understanding of Kuhn’s true ideas.

The “paradigm grift” is perhaps observed most prominently today with the rise of AI, often described by starry-eyed marketing sociopaths as a “paradigm shift” occurring in real time. Yes, AI can automate a lot of repetitive tasks and definitely reflects a new era in computing. (I’ve found it particularly useful for parsing code, audio transcripts, and identifying spectral points on an audio file.) But it is still not a foolproof or financially sustainable technology, particularly given the considerable harm and significant error rates it has caused thus far. As Kuhn himself noted, when Einstein’s paradigm had superseded Newtonian science, “some Newtonians were so incautious as to claim that Newtonian theory yielded entirely precise results or that it was valid at very high relative velocities.” The fact that AI seems to be getting worse and less applicable to most business functions would almost suggest that it has already become some hoary failure in the grand scheme of science and technology.

AI thus represents a perfect litmus test for our widely name-checked but woefully underrated friend Mister Kuhn! To offer a recap of AI’s many mishaps and follies, Microsoft’s Copilot was so regularly inaccurate with its results that the software giant was forced to alter Copilot’s terms, pointing out that its unwanted Clippy-like AI feature was “for entertainment purposes only.” The sheer amount of AI financial waste is best summed up by the brutally truthful website Is AI Profitable Yet? (spoiler alert: it isn’t!), which also breaks down the 21st century answer to Tulpenwoerde by company. While blinkered techbro evangelists are inclined to look the other way on these points, particularly the exploitative slave labor required to establish LLMs (all of these capitalist horrors are documented in Karen Hao’s excellent book, Empire of AI), even respected Internet pioneers like Vint Cerf have suggested that AI is a paradigm shift. But Cerf doesn’t actually engage directly with Kuhn. He bases his claim on a wildly general definition (“changing the way things are done”).

Let’s unpack why this is wrong. If I were to learn to contort my hips by hiring a twerk instructor, I suppose this would likewise be “changing the way things are done.” Or, more accurately, changing the way in which a rather strange middle-aged man, one who hasn’t entirely atrophied and who can still cut the rug at a wedding or a bar mitzvah, negotiates a dance floor. But I could not in good conscience call my twerking erudition a “paradigm shift” — particularly since few people outside of my girlfriend would want to observe such a blinding booty pop. (And even she, being the sagacious and sensible partner that she is, would swiftly discourage me from such aesthetically frightening activity.)

A proper paradigm shift that upends human knowledge — as formulated by Kuhn — involves one or more of the following three foci: (1) a “class of facts” that a paradigm has demonstrated to be particularly revealing of the nature of things (think Copernicus stumping for the heliocentric model of the solar system as the hounding halitotic breath of geocentric Catholics blew fiercely upon his back), (2) natural facts that can be compared against the predictions of the new paradigm (e.g., Einstein’s theory of relativity, the big bang theory, Darwinism putting the final nail into the view that all species were immutable, germ theory dethroning foul-smelling air as the source of disease, et al.), and (3) a great empirical wave of data tabulation and fact gathering to confirm the new paradigm (for all of you quantum mechanics nerds, think of the giddy manner in which John von Neumann went to town measuring the physical attributes of Hilbert space). Certainly one can feed data into Claude or ChatGPT and have the AI engine return coruscating graphics and synthesized tabular data wrangling. But if one is asleep at the wheel and relying on either an autonomous car or cruise control, is this really driving? (This month, Anthropic’s recently introduced AI models, Fable 5 and Mythos 5, suggested the potential beginnings of a true paradigm shift. Unfortunately, both were shut down by the American government by way of an emergency export-control directive.)

I’m certain that any soulless free market crusader who happens to be reading this piece holds the diseased belief that scaling any venture in the most cartoonish manner imaginable will automatically accommodate all of Kuhn’s criteria. (After all, it worked for Jeff Bezos and Amazon!) But capitalism is not science and the pursuit of money does not ensure a windfall of knowledge (and vice versa). We saw this with the Piltdown Man in 1912, in which a grifter by the name of Charles Dawson claimed to have a fossil linking apes to humans. But when the scientists examined the fossil, they discovered that this phony “missing link” was little more than a mockup of an orangutan and a chimpanzee. (One can see similar “scientific breakthroughs” motivated by capitalism and/or the desire for fame, attention, and ladder-climbing with such hoaxes as the Cardiff Giant of 1869 and Shinichi Fujimura’s phony “discoveries” of “Stone Age artifacts” that he buried at archeological dig sites.) Anyone who has ever dealt with the greed of software vendors releasing a new version to fill the coffers rather than advance the product (particularly when a “new version” is indistinguishable from a patch release) knows quite naturally that an LLM does not automatically guarantee that you will replace a paradigm.

Additionally, Kuhn is careful to note that “special equipment” (he includes such examples as telescope technology, the Atwood machine, and Cavendish’s apparatus) is often required to extract and measure data associated with any given paradigm. AI has unquestionably accelerated turnaround time. But there’s an underlying question over whether augmented technology on its own is enough to create a paradigm. DNA sequencing is arguably a more salient example of a new technology creating a new way of measuring. It has completely overhauled forensic investigation, the ability to measure viruses that are too small to be seen through a microscope, and, should you opt to pucker your lips and spit into a 23andme kit, has opened the floodgates for extremely distant relatives to harangue you for unwanted brunch meetups when not bombarding you with certain probabilities about your future health flapped in front of you like an air traffic controller preventing a plane from crashing into a terminal. With AI, the paradigm shift is not as clear-cut. Just ask any gloomy white-collar worker held hostage in a corporate boardroom meeting by some executive demanding how AI is being used in his department. Even the cutthroat capitalists over at the Harvard Business Review recently had to confess that AI was “far from perfect for the task of evaluating text as a bona-fide, valuable, meaningful AI use case” and pointed to the inseparable role of human judgment in nearly all AI tasks.

To return to Cerf’s thoughts on AI, his strongest example of AI representing a paradigm shift lies in machine learning — in which every form of data imaginable (including your own private data and creepy scrapes from the dark web) is used to expand an LLM. Though even this “revolutionary” tool has any number of “erroneous hallucinations.” Cerf, to his credit, notes that all this “sets the stage” for a paradigm shift. So we aren’t necessarily there yet. Certainly the fact that data centers require a frighteningly gargantuan magnitude of resources (electricity, water, the innocent virgin blood of newborn babies, et al.) to fuel the enormous scale of computing power would suggest an overturning of previous conventions. But given that Sam Altman, Kevin O’Leary, Mark Zuckerberg, and other extremely obnoxious tyrants are using brute force to push through their data center projects and given that we are all being forced to use AI in our work even if it has no real application, is this more of a rigged “revolution” rather than a natural expansion of human knowledge? Kuhn observed rightly that Lagrange, Euler, Gauss, and Laplace all contributed some of the most brilliant work of their lives to reconcile Isaac Newton’s paradigm with what they observed in the heavens. And while Kuhn doesn’t expressly state that this type of scientific “mutual aid” — that is, the legitimate pursuit of knowledge existing outside the rigid boundaries of capitalism that I alluded to earlier — could be a vital part of locking down a new paradigm, it would seem to me that the tyrannical “every man for himself” mentality behind pushing AI into every corner of human existence (whether compatible or not) has less to do with natural evolution of ideas and more to do with involution and the capitulation of volition.

Moreover, Kuhn observes that an effective paradigm change is only successful if there is a “promise of success discoverable in selected and still incomplete examples.” With AI, we are obviously dealing with a new stratum that is wildly incomplete. Despite the massive leaps of GPT-5.5, the latest AI build comes saddled with plentiful capacity warnings, “agentic” limitations, and metadata bugs — all of which would suggest that the success we were promised by Altman and his stooges has been largely countermanded in situ. Kuhn further tells us that the actualization of a paradigm is only achieved by “extending the knowledge of those facts that the paradigm displays as particularly revealing, by increasing the extent of the match between those facts and the paradigm’s predictions, and by further articulation of the paradigm itself.” As recently as a few weeks ago, Google’s AI chatbots, seen through Gemini and its search engine, were proven to be easily manipulated — if anything, sullying the preexisting paradigm of knowledge with biased and inaccurate information. The two major political parties in America have reported significant problems with AI, ranging from Republican tech policy advisor Katie Harbath observing that AI is 90% wrong on midterm election queries to AI deepfakes of Democratic candidates used as campaign videos. Our preexisting knowledge of the facts is directly threatened by AI because AI is parasitically drawn to feed any garbage into its LLM and the makers of these almighty chatbots haven’t considered such vital and durable human practices like fact checking, skepticism, and critical thinking.

Of course, the stalwart AI champion who still believes that AI, largely used for mimetic parlor tricks, can generate new knowledge (OpenAI has been capable of writing its own code for the last year, which comes very close to a paradigm shift) will come at me with journalism being “the first draft of history.” Even Kuhn himself acknowledged that Newton’s Principia Mathematica contained meaning that was only understood when it was actually applied to a new paradigm. But Sam Altman and his fellow cronies are capitalists, not scientists. In Empire of AI, Hao describes the reckless manner in which OpenAI junked developer review before the release of GPT-4 without any plan in place by the company’s trust and safety team. OpenAI’s executives refused to give this team the resources it needed and it certainly wasn’t collecting the vital data points to assign unique identifiers to users. One vital observation from Kuhn is that paradigms are robust enough to insulate a scientific community “from those socially important problems that are not reducible to the puzzle form.” In other words, a true paradigm shift doesn’t just involve the tools (in this case, AI chatbots) that a new paradigm supplies. But we now live in a world in which DeepMind CEO Demis Hassabis wins a Nobel Prize for chemistry and talks about AI protein folding as “a puzzle.” And then there are the wags — like OpenAI co-founder Ilya Sutskever — who assiduously avoid the word “puzzle” even as they use phrases like “very confusing” or “strange” to describe the difficulties of arriving at Artificial General Intelligence, the great goal (the hoped for future paradigm?) of all these AI evangelists. A mischievous computer science expert, who rightly framed all this as “an inscrutable puzzle,” put Sutskever’s words into DeepSeek (another AI chatbot), asking about the intellectual viability of this vision. DeepSeek replied:

Sutskever’s performance here is a masterclass in how someone can, in the same breath, diagnose a fundamental methodological flaw and yet package it as a profound mystery, eliding the straightforward explanation that would undermine the very enterprise he’s built his reputation on.

When the very engine behind your professed paradigm shift calls you out on your bullshit, there’s a fairly strong chance that you may be running on hot air rather than substantive ideas.

Kuhn wrote The Structure of Scientific Revolutions with an understated eloquence guaranteeing to the reader that he had given serious thought and considered every possible angle about what a paradigm shift entailed. This is one major reason why it’s so disheartening to see marketing people (and even incurious men with mustaches) thoroughly cheapen Kuhn’s great contributions. It’s a significant insult to the serious thinking that Kuhn collected so valiantly into a short and highly readable book that wanted to reckon with the often awe-inspiring manner in which humankind expands its collective mind. In one chapter documenting the discovery of oxygen, Kuhn notes that three separate people (Scheele, Priestley, and Lavoisier) were involved in unpacking the world’s most famous element — indeed, the very thing we silly ape-descended life forms need to survive. And given such complexity, it is often impossible to nail down the precise point in history in which this was a bona-fide paradigm shift. Just as Spider-Man understood that with great power comes great responsibility, so does any real scientist understand that a bona-fide paradigm shift is not something to apply to scientific knowledge like some college kid thoughtlessly putting on a random T-shirt while nursing a massive hangover.

There’s admittedly a case to be made about what conditions would allow AI to invoke a legitimate paradigm shift. Having a series of rules would be one way to bolster it. Avoiding gimmicks (and changing the end goal for every new iteration of GPT to avoid marketing gimmicks) would be another method. As Kuhn helpfully informs us, “Normal science does not aim at novelties of fact or theory and, when successful, finds none.” The gee whiz factor in science is more for the spectators sitting in the bleachers rather than the methodical scientists.

Kuhn’s book is a vital reminder in an epoch of limitless con men of what we should properly identify as a revolutionary change in human knowledge. Had many of the men whom I encountered in the 1980s taken the time to teach their kids about what Thomas Kuhn was really trying to tell us, we might have had a larger army of doubting Thomases rightfully practicing their critical thinking skills against the many fraudsters and swindlers who have somehow persuaded easy marks that they are geniuses.

Next Up: Jonathan D. Spence’s The Gate of Heavenly Peace!

The Case for Canceling Thanksgiving

We’re less than a day into November and already the anti-science propaganda has been unspooled like a mildewed floor roller desecrating an immaculate hardwood floor. Resident wingnut Karol Markowicz, the New York Post‘s answer to a Karen for the written word, has urged her readers to celebrate Turkey Day, come hell or high water. “Go and see your family in Thanksgiving,” writes Markowicz. It doesn’t matter if they are out-of-state. It doesn’t matter if they are old or immunocompromised. Markowicz expressed all this, even as she risibly claimed that she had arrived at this conclusion “precisely because I listen to scientists.” Actually, Karol, it’s pretty damned easy to dismantle your ridiculously convenient logic. Her remedy for not passing on the virus is to find some magical place where you can get a rapid COVID test and wait for the results before enjoying the turkey and mashed potatoes.

The problem here is that there aren’t enough rapid tests available — least of all in remote regions that are highly averse to implementing desperately needed testing and tracing. Here in New York, the state that has offered the most ample testing, there have been only 400,000 rapid test kits distributed throughout the entire state. 148,935 tests were reported by Cuomo yesterday. If we replaced all COVID tests with rapid tests, we would burn through the available rapid test supply in less than three days. But that’s not going to happen. Because these rapid tests have been earmarked for schools in COVID hot spots. Markowicz’s math simply doesn’t add up. Does she think that rapid test kits grow on trees much in the manner of L. Frank Baum’s lunchboxes? I can only imagine how poorly she manages the family budget. Moreover, she foolishly believes that COVID tests will take less than 24 hours to process when any of us who have been tested know that a result can take as long as a week to come back or, in a worst case scenario, ten days.

Adding balderdash to batshit, Markowicz also guilts the reader through offensively treacly rhetoric: If you don’t see your family now, you may never see them. This wantonly assumes that the majority of senior family members arranged at the hypothetical dinner table will drop dead in the next eighteen months. Dr. Fauci’s own projections indicate that we’re not going to have anything close to normality until 2022. And, even then, this would be contingent upon a global vaccine that was successfully distributed and applied among the global population.

The reality is that we’re going to be living with masks and social distancing for at least eighteen months.

Markowicz then goes on to defend Kim Kardashian’s deservedly reviled 40th birthday party on a private island. “It was the fact that Kim got a little ‘normal,'” Markowicz writes, “that really seemed to rub people the wrong way.” Actually, it was the obscene narcissism of Kardashian flaunting her wealth and privilege that caused people to get upset — as any cursory review of Twitter swiftly reveals. When an estimated 31 million people are waiting on unemployment benefits as Mitch McConnell holds up a desperately needed second stimulus check until the start of 2021, the last thing that anybody wants to hear is an attention-seeking moron insulated by vast wealth bray on insensitively about the luxury she gets to enjoy while a sizable cluster of America fears eviction. Markowicz even refers to Kardashian’s ploy as a “regular life.” Really? When frolicking on a private island is within the scope of more than 300 million Americans, then we’ll talk. But Kardashian is no more “regular” than a flock of dodo birds somehow transcending extinction to saunter through Midtown.

We then get two obscenely fabulist paragraphs painting a panorama of overeating, drinking too much, and arguing about the election. I’ve counted the family members that Markowicz adds to her sham idyllicism and we have a mother, a father, a great-aunt, plentiful cousins (let’s say four), and at least one aunt and uncle. That’s a super-spreader event of ten and I’m not even counting family friends or significant others. We know that roughly one in ten people have been infected with COVID. Let’s say that the family home is in South Dakota, which presently has a 46% positivity rate. These aren’t the kind of odds you want to mess with — not if you want your family to stay healthy and live.

Last year, 31.6 million people traveled for Thanksgiving. Let’s say that half of those people brave the planes. That’s still about 15 million. Scientists at MIT and the Harvard T. Chan School of Public Health have informed us that HEPA filters in airplanes don’t function nearly as effectively against the virus. If the planes are packed with Thanksgiving travelers, you’re going to see planes turned into superspreader vessels. Your chances of getting COVID increase if you remove your mask to eat food or you are sitting very close to an infected person. Let’s be hopeful and say that only 10% of our estimated 15 million travelers come down with the virus. Well, that’s still 1.5 million cases. And if 1% of those people die, that’s 150,000 deaths to add to the already 230,000 fatalities we have seen since March.

What Markowicz is arguing for here is mass murder. To offer her a historical example she can understand, Operation Reinhard killed over 11,000 victims in Krakow. Even if we reduce our estimate by half, she’s essentially arguing for seven Operation Reinhards to go down in December. And the hell of it is that these needless casualties are so easily preventable.

We recently saw Australia — a vast country of 2.97 million miles (only one million less than the United States) — emerge into some semblance of normalcy. No new cases for five months. And that was only because Australia adopted strict lockdown measures that lasted for 112 days. The United Kingdom is presently attempting a similarly strict lockdown that could last four weeks. Maybe longer. The nation is joined by lockdowns in France, Belgium, Germany, and Greece.

Without a vaccine, the only real way to fight the virus — particularly as it bristles into the central regions of America — is through a national lockdown and significant penalties for failing to wear a mask in public. Failing that, seeing as how our government refuses to enforce a life-saving measure that will result in fewer deaths and potential containment, it seems to me that canceling Thanksgiving this year is merely a modest strategy to eliminate further spread of a virus that is clearly out of control in the great American heartland.

The only reasonable way I can see anyone celebrating Thanksgiving is for a “COVID pod” to agree for all parties to quarantine individually for two weeks before the turkey gets carved. But there’s also the potential exposure risk that comes with air travel. So even that isn’t a foolproof solution for people who aren’t fortunate enough to live in the same city as their family.

Look, nobody loves cooking for sixteen hours and feeding people more than I do. I’ve done the full Thanksgiving cooking marathon — turkey and all — five times now. Nobody loves ensuring that stranded friends have a place at a table during the holidays more than I do. But the rules of existence have changed. The way we live now is not the way we lived in March. If we want to return to that way of life — and we will eventually — then we need to consider some fairly radical ideas about how we can stop COVID. Now is not the time for the kind of foolish misinformation and fake news that is apparently Karol Markowicz’s specialty. But then she works for The New York Post. One would expect no less from a paper that couldn’t even report the professed Hunter Biden scandal right. When Tucker Carlson serves as the voice of reason, you’re hardly in the position to be arguing the wholesome high ground.

Six Easy Pieces (Modern Library Nonfiction #88)

(This is the thirteenth entry in The Modern Library Nonfiction Challenge, an ambitious project to read and write about the Modern Library Nonfiction books from #100 to #1. There is also The Modern Library Reading Challenge, a fiction-based counterpart to this list. Previous entry: Pilgrim at Tinker Creek.)

mlnf88Richard Feynman, exuberant Nobel laureate and formidable quantum mechanics man, may have been energetic in his lectures and innovatively performative in the classroom, but I’m not sure he was quite the great teacher that many have pegged him to be. James Gleick’s biography Genius informs us that students dropped out of his high-octane, info-rich undergraduate physics classes at a remarkable rate, replaced by Caltech faculty members and grad students who took to the Queens-born superstar much like baryons make up the visible matter of the universe. The extent to which Feynman was aware of this cosmic shift has been disputed by his chroniclers, but it is important to be aware of this shortcoming, especially if you’re bold enough to dive into the famed three volume Feynman Lectures on Physics, which are all thankfully available online. Six Easy Pieces represents an abridged version of Feynman’s full pedagogical oeuvre. And even though the many YouTube videos of Feynman reveal an undeniably magnetic and indefatigably passionate man of science who must have been an incredible dynamo to experience in person, one wonders whether barraging a hot room of young nervous twentysomethings with hastily delivered information is the right way to popularize science, much less inspire a formidable army of physicists.

Watch even a few minutes of Feynman firing on all his robust cylinders and it becomes glaringly apparent how difficult it is to contend with Feynman’s teaching legacy in book form. One wonders why the Modern Library nonfiction judges, who were keen to unknowingly bombard this devoted reader with such massive multivolume works as The Golden Bough, Dumas Malone’s Jefferson and His Time, and Principia Mathematica, didn’t give this spot to the full three volume Lectures. Did they view Feynman’s complete lesson plan as failed?

Judging from the sextet that I sampled in this deceptively slim volume, I would say that, while Feynman was undeniably brilliant, he was, like many geniuses, someone who often got lost within his own metaphors. While his analogy of two corks floating in a pool of water, with one cork jiggling in place to create motion in the pool that causes indirect motion for the other cork, is a tremendously useful method of conveying the “unseen” waves of the electromagnetic field (one that galvanized me to do the same in a saucepan after I had finished two bottles of wine over a week and a half), he is not nearly on-the-nose with his other analogies. The weakest lesson in the book, “Conservation on Energy,” trots out what seems to be a reliably populist metaphor with a child named “Dennis the Menace” playing with 28 blocks, somehow always ending up with 28 of these at the end of the day. Because Feynman wants to illustrate conservational constants, he shoehorns another element to the narrative whereby Dennis’s mother is, for no apparent reason, not allowed to open up the toy box revealing the number of blocks and thus must calculate how many blocks reside within. The mother has conveniently weighed the box at some unspecified time in advance back when it contained all 28 blocks.

This is bad teaching, in large part because it is bad storytelling that makes no sense. I became less interested in conservation of energy, with Feynman’s convoluted parallel clearly becoming more trouble than it was worth, and more interested in knowing why the mother was so fixated on remembering the number of blocks. Was she truly so starved for activity in her life that she spent all day at work avoiding all the juicy water cooler gossip about co-workers, much less kvetching about the boss, so that she might scheme a plan to at long last show her son that she would always know the weight of a single block? When Dennis showed resistance to opening the toy box, why didn’t the mother stand her ground and tell him to buzz off and stream an episode of Project Mc²?

Yet for all these defects in method, there is an indisputable poetic beauty in the way in which Feynman reminds us that we live in a vast world composed of limitless particles, a world in which we still aren’t aware of all the rules and in which even the particles contained within solids remain “fixed” in motion. Our universe is always moving, even when we can’t see it or completely comprehend it. Feynman is quick to observe throughout his lessons that “The test of all knowledge is experiment,” which again points to my theory that Feynman’s teachings, often accentuated by experiment, were probably better experienced than read. Nevertheless, even in book form, it is truly awe-inspiring to understand that we can still not accurately predict the precise mass, form, and force of all the cascading droplets from a mighty river once it hits the precipice of a waterfall. Such mysteries capture our imagination and, when Feynman is committed to encouraging our inventiveness through open and clear-eyed examples from our world, he is very much on point. Thanks in part to Feynman reminding me just how little we silly humans now know, I began to feel my heart open more for Tycho Brahe, that poor Dane who spent many years of his life refining Copernicus’s details and determining the elliptical patterns of planetary orbits. Brahe worked out his calculations entirely without a telescope, which allowed Johannes Kepler to sift through his invaluable measurements and forge laws that all contemporary astronomers now rely on to determine where a planet might be in the sky on any given night of the year. Heisenberg’s uncertainty principle hasn’t even been around a century and it’s nothing less than astounding to consider how our great grandparents had a completely different understanding of atoms and motion in their early lifetime than we do today.

Feynman did have me wanting to know more about the origins of many scientific discoveries, causing me to contemplate how each and every dawning realization altered human existence (an inevitable buildup for Thomas Kuhn and paradigms, which I will take up in ML Nonfiction #69). But unlike such contemporary scientists as Neil deGrasse Tyson, Alan Guth, or Brian Greene, Feynman did not especially inspire me to plunge broadly into my own experiments or make any further attempts to grapple with physics-based complexities. This may very well be more my failing than Feynman’s, but there shall be many more stabs at science as we carry on with this massive reading endeavor!

Next Up: G.H. Hardy’s A Mathematician’s Apology!

Audio Drama Sunday: ars PARADOXICA, A Conversation with Mischa Stanton

Ever since Samuel Madden responded to Swift in 1733 with the satirical Memoirs of the Twentieth Century, in which letters from a Jesuit-ruled future were magically received in 1728, time travel narratives have proven difficult for many artists to resist. And the audio drama ars PARADOXICA is a terrific one.

Created by Mischa Stanton and Daniel Manning, the program follows Dr. Sally Grissom (played by Kristen DiMercurio) as she records various tapes after inadvertently landing in the early days of the Cold War, forced to work as a wage slave for Uncle Sam and soon finding herself forging friendships and paths to further scientific discovery with other scientists. It is a brainy and sometimes quietly goofy narrative, with null fields, strange small towns, time travel murders, reverse engineered answered machines, and crazed trips to Las Vegas, all buttressed by fantastic vocal work, an expansive narrative, and mysterious numbers that punctuate the end of each episode.

Aside from its growing family of notable characters and surprise plots, one of the reasons why ars PARADOXICA works so well is its careful attention to sound. In the show’s most recent episode, “Anchor,” we hear two characters discussing how “quiet” the 1940s are. This is then followed by a scene in a hotel room that seems a little quieter than one might expect, almost as if the previous reference to silence served as an excuse to avoid hustle and bustle in the mixing. So the listener becomes accustomed to a certain tone, only for that tone to be jarred by events that go down during a road trip later in the episode.

To learn more about the show’s origins, I contacted Mischa Stanton, who was kind enough to answer my many questions over a few weeks. We talked time travel, Stanton’s work as producer on The Bright Sessions, eccentric scientists, and how characters and stories inevitably change no matter how much you plan a grand narrative.

You can listen to the show here and support the show on Patreon. ars PARADOXICA just aired its fourteenth episode, “Anchor.”

arsparadoxica

EDWARD CHAMPION: I’d argue that there are two types of time travel narratives: the heady and complicated versions populated by Shane Carruth’s Primer and Donnie Darko and the fun-filled versions seen with Nacho Vigalondo’s Timecrimes and, most prominently, Back to the Future (which ars PARADOXICA has extensively name-checked). Then there are films like Looper and 12 Monkeys (or, for that matter, Audrey Niffenegger’s novel The Time Traveler’s Wife), which split the difference between the two varieties. ars PARADOXICA seems to be aiming for that happy compromise. And in asking the inevitable question about how you and head writer Daniel Manning came up with ars PARADOXICA, I’m wondering if you set out to find a middle ground between heady and entertaining (not that they can’t coexist!). How does audio drama lend itself more towards a viable execution of this theoretical Venn diagram? Had you told versions of this story before? I have seen photos of timelines scrawled out on paper that appear to have been devised by one “Mischa Stanton” (answering to the names of Aaron and Abe?). What did you do to plan for this?

timeywimeyMISCHA STANTON: Wow, I’m really glad we’re hitting the mid-point between relaxed and serious time travel! To be perfectly honest, we definitely set out to make the most dark, the most serious, and above all the most logically-sound time travel story we possibly could. Daniel and I were frustrated by the proliferation of time travel media that had flimsy rules that weren’t based in any sort of reality. The likes of The Butterfly Effect, that movie adaptation of Ray Bradbury’s “A Sound of Thunder,” and Doctor Who. (Oh man, if I never hear the phrase “timey-wimey” again, it’ll be way too soon.) We wanted a world with rules, and a story with strict adherence to those rules. That the show is any funny at all comes from Dan’s writing of Sally (Sally is basically female-Dan) and Kristen DiMercurio’s absolutely killer performance.

That said, the way we approach the show is by having the characters go through some seriously heavy and mind-bending business. So the only way to deal with that and still keep the story swimming is to recognize the utter absurdity of the scenario (in our case, the scenario being “a cold unfeeling universe”), laugh, and carry on. That carries over from how I view life, which is that it’s an absurd and cacophonous mess that is almost entirely out of any one person’s control. So you just gotta laugh!

The time travel concept in and of itself isn’t what drove us to audio. In fact, our very first crack at this “brand” of storytelling we’ve cultivated wasn’t even a time travel story at all. The show started as a numbers station (of which listeners can find an example at the end of each episode) that Daniel and I recorded in our dorm at Emerson College, and then snuck onto the radio in the dead of night while no one was listening. It was only after we did it once that we begin to consider, “Okay, why does this numbers station exist? Who is it from? Who is it to?” And from there, we expanded out to “a secret government time travel conspiracy.”

As for how much we have planned, without giving too much away, I’ll say this: We had the last episode outlined before the pilot. I think that’s probably the best way to write a time travel story: write the ending first. That way, all of your logical knots untangle into something concrete at the end. You also get a ton of opportunities to foreshadow plot threads and plant little seeds for later that we, as fans, love to pick apart and unravel.

CHAMPION: I had a feeling that you and Daniel knew each other, but I didn’t realize how far back the connection went! And it does have me wondering if anybody ever replied to your college radio cryptographic code. (Certainly, I felt compelled to tweet back minutes after listening to the first episode of ars PARADOXICA!) This leads me to wonder how you managed to land the magnificent Kristen DiMercurio and how you went about casting this. Did you rely largely on people you knew? Did you willfully establish a universe with constraints because the best creative work typically emerges out of creative limitations? The fact that you bleep out the year that Sally came from and that you regularly bombard Sally’s diary entries with interference suggests a keen commitment to creative obfuscation! I’m almost wondering how much you folks obsess over the minutest details. The Wooden Overcoats fellows told me that they even have “placeholder” jokes until they can get it right. If you are sitting on a massive pile of paperwork (and I suspect you are!), what freedom do you allow yourself to deviate or improvise — whether in the writing or the recording of ars PARADOXICA?

mischakirstenSTANTON: We’ve had a few die-hard fans figure out the codes— which is a lot of fun for us because that just means we get to come up with harder codes! Shoutout to Brian B and Phoebe S, the lead code-breakers out there.

aP is actually Kristen’s first voice acting gig! I knew her in college (not super well, but we often attended the same theatre program parties), and she posted on our college’s alumni Facebook group asking if anyone had any leads on classes for voice acting. We messaged her the same day: “Wanna read for a lead role in our show?” And now she’s absolutely blowing up the scene. She’s working with Two-Up Productions on their next thing. She’s playing Selina Kyle in an adaptation of Batman: Year One. She’s getting casting calls left and right for different audio dramas. We really found something special with Kristen, and the show wouldn’t be nearly as good without her.

A lot of the cast are just actor friends of mine. I knew Reyn Beeler, Dan Anderson, Katie Speed, and Lee Satterwhite from college (along with a lot of our “additional voices” cast), and Zach Ehrlich and Susanna Kavee and I go all the way back to high school. The one big find I made outside of my friend group was Robin Gabrielli, who plays Anthony Partridge. I met him through the director of a play I designed back in Boston. Man, is that guy just a treasure. And of course, now that I’m out of college and working in the Los Angeles entertainment industry, I have a much wider base to pull new actors from!

As far as constraints, one of my design heroes, Mark Rosewater, likes to reiterate “restrictions breed creativity.” The blank page can be intimidating. So giving yourself conditions to go by helps to realize your story a long way. That’s why we keep to such strict rules in aP. We think the “Only to the past, not before 1943” framework makes for a more interesting story. But within that, we try to keep an open mind about what is possible. It’s been especially interesting in Season 2, since we’ve opened the world up to a new writing staff. And now they come to me with questions of “Does this work?” or “Can I do this?” or “Will this break the rules?” And it’s great to have clear yes/no answers, to work with the writers to fit their grand ideas into this framework.

Once the scripts are written, the story is mostly locked-in. We do a lot of work with the writers to make sure everything (a) makes sense within the world, (b) sounds consistent with how we want to portray the characters, and (c) sets up the plot threads needed for future stories. However, when I get in the booth with an actor, often we’ll find something that doesn’t make sense or that sounds awkward to say. Or we’ll find a leftover line from a previous edit that doesn’t fit anymore and we change it up. We’re not married to the text of each individual line. I’ve also recorded whole scenes and then cut them in editing (usually I run this by the writer first). “No scene is worth a line and no show is worth a scene,” as Daniel likes to say!

CHAMPION: I presume that some of the newer actors, such as L. Jeffrey Moore and Alexander Cole in “Asset,” are people you haven’t known before. How did you go about finding actors once your creative universe started to expand? What difference is there in working with someone you’ve known for a long time and someone new? Have you had to make adjustments when, say, Kristen wasn’t available for an episode? One common suggestion I’ve heard among radio drama producers is “Don’t look at your actors” and I have to confess that, while this is eminently pragmatic and sensible, it does suggest a queasy parallel to certain big name Hollywood actors who secure guarantees that crew members should never give them eye contact when they are on set. Given that eye contact is pretty damn essential in talking with and working with people, even for something that is designed for the ear, what do you do to cultivate an atmosphere of intimacy? How have you become better at directing the actors? Have you ever had to bend the draconian rules that you and Daniel established at the beginning to serve the characters?

STANTON: As we’ve expanded our cast (and we have a huge cast) I’ve relied on people I know, or friends of people who are already involved. I met Jeff through Robin Gabrielli, Alex is a fellow audio producer. I was the audio engineer for a musical produced in LA written by Rebekah Allen, who plays Bridget in Episode 13. There was a similar case with Arjun Gupta, who will be in Episode 14. Collaborative art forms, especially audio drama, are all about building your networks outward until you find who you need. Fortunately, the audio drama community has been incredibly welcoming!

I have never heard about “no eye contact,” but I wouldn’t subscribe to that even if I had. A lot of our recording sessions are done by remote. Rather than send an actor off to record on their own, I almost always schedule a time to read with them over Skype. I find it creates a much more personal experience for the actor, which translates to their relationship with the audience in a tangible way.

When we started, I had absolutely no experience directing voice actors. I learned everything I know while creating this show. The biggest lesson I’ve learned is knowing what you want going in and not being afraid to ask for this plainly and without fear. You also shouldn’t be afraid to re-take a line until you’re satisfied!

bonsaiFortunately, we’ve only had to bend the script to accommodate an unavailable actor once. And even then, the actress had recorded material previously that we were able to use. As far as bending the story, I like to think of it as a bonsai tree: We can bend as we move forward. But once we make a bend, we have to stick to it. What comes before, even the bends, become the solid foundation for everything that comes after.

CHAMPION: So your story is as naturally expansive as matter contending with repulsive gravity! Since we’re finding a cosmological constant of sorts and since you’ve previously expressed how you put a hard foot down on “timey wimey,” I’m wondering what you’ve done in the name of research. Do you have any salivating physicists trapped in a closet who are willing to unpack entropy and effective field theory for a few scraps of food? Have you relied on any particular books or texts? I get a general Harvard-MIT vibe (a good one, not an obnoxious one!) from ars PARADOXICA and I’m curious what background you, Daniel, and your nimble gang of collaborators have in science? Do you ever find that the dramatization of science or theory gets in the way of exploring characters? Perhaps this was one reason you had the team go to Vegas?

STANTON: I can tell you straight off that we only barely have a background in science. As far as formal training goes, I studied psychology and psychoacoustics (the study of sound perception) in college, and I’m an audio and acoustical engineer by trade; and Daniel like…got an A- in 10th grade Chemistry. Beyond that, the only things we know about particle physics and entropy are what we’ve researched for the show, and most of that was just hours and hours combing Wikipedia articles and their sources (here’s a pro tip for anyone writing a college paper: don’t cite Wikipedia, cite Wikipedia’s sources). I’ve never considered myself a scientist. I’m more of an artist heavily influenced by scientific discoveries, information, and techniques.

The Vegas episode (03: Trinity, Acts I & II) was definitely a point where writing the story butted up against our lack of formal scientific training. In that episode, the characters have to present time travel as a viable tool for the US government muckety-mucks, and then spend weeks trying to devise a presentation. But we found while writing the episode that we couldn’t actually come up with a viable presentation to even write into the show! We had the same struggle as the characters in creating a formal time travel presentation that wasn’t just sleight-of-hand. So that’s what we had the characters do. In the end, they just do some sleight-of-hand. And it doesn’t work. They fail their presentation. The program shuts down. And they end up having to move to a tiny town in Colorado. So in that way, the science and our understanding of it (or lack thereof) really informed the direction of the entire show.

That said, we wrote Episode 03 in the very first batch of scripts, before we even had Kristen on the show, before it was out in the world. Working with the show out in the world for over a year now has given us a better grasp on what we can and can’t do. And I’m proud to say we’ve finally figured out how to design some really cool time travel experiments. Stay tuned for Episode 15, I’m really proud of it.

CHAMPION: You also produce The Bright Sessions and I’m terribly curious about (a) how this happened, (b) how working within another person’s vision differs from what you and the gang have established at ars PARADOXICA, and (c) what you did to make Lauren’s job easier? Was there anything she wasn’t doing that you implemented?

brightsessionsSTANTON: I found The Bright Sessions as a fan first! I was trying to find other shows like ours, and I kept seeing people mention The Bright Sessions, so back in March I listened to the first season on a plane ride. I was hooked. And then there was a mid-season announcement on her feed, where Lauren said that if she made enough Patreon money she’d be able to hire an audio producer who actually knew audio. And I said to myself, “I’m an audio producer!” So I emailed Lauren the next day offering to jump in with her. She’s got the acting and directing stuff down, but she wasn’t as well-versed in the audio production, the mixing, the creation of sound effects. So I’ve helped prop up what she doesn’t know, so that she has been able to tell bigger and more ambitious stories. Before I started, the show was still mostly two people in a room. But once I joined she was able to give her characters more things to do and more space to do them in. As I checked my email to respond to this question, Lauren just sent me confirmation that The Bright Sessions #24 (“Zero Hour,” her Season 2 finale) is ready for launch. And, of course, your readers will have already heard it by the time this interview comes out. So they’ll know that it’s our most ambitious episode yet.

I’ve been working in collaborative theatre environments for twelve years. So designing to someone else’s vision is actually pretty par for the course for me (that I have so much more creative control on aP than I usually do is probably why I push so hard with it). Lauren is an amazing boss. She has such a clear pictures of these characters in her head. It’s like they’re all real people she knows and hangs out with, but that I’ve never met. She always knows exactly what she wants, even if she doesn’t always have the best words to describe it. We’ve developed a lot of trust. So she gives me a lot of freedom to craft the soundscapes of the show. But that’s my job! Lauren asks for a mood, a general feel to the episode (or she suggests it in her writing) and it’s my job to take that mood and interpret it as a soundscape. That’s what a sound designer does: takes the tool of sound, and uses it to provoke emotional responses to tell a unified story. (Are you listening, Tony Awards?)

CHAMPION: I should probably disclose that I am terribly fond of fun dramatizations of science and scientists, whether they hit the more eccentric strains seen with John Noble’s Dr. Walter Bishop in Fringe, Dr. Emilio Lizardo in The Adventures of Buckaroo Banzai, or Dr. Herbert West in Re-Animator or the more straight-laced eccentric seen with Jeff Goldblum’s Dr. Seth Brundle in The Fly, Dr. Hubert J. Farnswoth in Futurama, or (more medical than physics) Dr. Dana Scully in The X-Files (which seems to be the closest model for Dr. Sally Grissom). What impresses me about ars PARADOXICA is how you’ve rooted Dr. Grissom in reality and that scientists as a whole don’t fall into the authoritative eccentric model that we’ve become so accustomed to. I’m very interested if any of this factored into the writing and devising of these episodes, even before you had Kristen. To what degree is your background in acoustics responsible for a similarly dogged commitment to the real? (The Truth‘s Jonathan Mitchell also has an extensive audio and music background, which I suspect is heavily responsible for that marvelous program’s commitment to grounding his stories in base reality.)

STANTON: I think stories have a tendency to boil down a knowledgeable character into a one-dimensional role— “the Scientist/the Smart One.” And with good reason. It’s a great exposition machine when you need the story to move along, especially in media where you’re on a strict time limit like TV. Cop shows do this a lot with the ME/Coroner character, just as a way to spit out pertinent medical information and move the plot forward. And then, often to give a bit of color to it, a producer will throw in a generalized “eccentricity,” as you call it, to make the character at least partly memorable. But with a show like ours, something that is all about the science and how it affects the people close to it, being smart or being a scientist is a given. So yeah, Esther is smart, but she’s also caring, calculating, judgmental, and ambitious. Yeah, Sally’s a scientist, but she’s also a movie lover, a stranger in a foreign land, and an amateur comedian (one of our tenants of writing Sally is “she thinks she’s hilarious”). When “scientist” is the norm, there’s no need to stick to the trope. So it gives us far more room to play in.

A lot of what our show explores is the morality of discovery. I’ve often said that science tells us what we can do. But it’s up to humanity to decide what we should do. Often you don’t know what you should do until you’ve already made a mistake. I think that’s part of what makes Sally such an interesting character to listen to. She invented this time machine entirely by accident and, before anyone could ask her what she thinks should be done with the technology, the tech is already in the hands of one of the most powerful governments on Earth in the middle of a war. So a lot of the show is Sally reconciling her love of unbounded discovery with the fear of moving ahead too fast, before she’s able to consider the consequences of her actions.

As far as my own acoustical background, I think that’s what allows me to imagine what a room sounds like, to determine which elements are vital to conveying action and which ones just get in the way. Wherever I go, I always take a moment to listen to a room and break apart the tone into pieces for later use. For example, in Episode 13, there’s a moment where two characters travel from drinking in a crowded bar in New York City to post-sex in an empty apartment. For me, setting up that scene meant: (1) muffled city noise behind the apartment walls, (2) heavy breathing, (3) rustling bedsheets, (4) grabbing a lighter and lighting a cigarette. These moments are all disconnected pieces when you listen to them individually. But when put together there’s really only one thing that could have happened in the intervening space. And that’s the trick to building convincing scenes in audio drama. It’s not just finding the right sound effects. It’s finding the exact combination of elements that can only mean what you want these to say.

And thank you so much for that comparison! Jonathan is an incredible artist, and The Truth was a huge inspiration to me. I had just picked it up as I was mixing our first episode. It really showed me what a podcast can do, and pushed me to make aP even better.

lostfinale

CHAMPION: I completely detected the “she thinks she’s hilarious” vibe from Sally as she records her diary entries, which is a peculiar cousin to loneliness. It’s not unlike the relentless pop cultural references that fuel Eiffel’s monologues in Wolf 359. Eiffel believes he’s a standup comic to some degree, but he’s also deeply flustered in deep space. In my conversation with The Bright Sessions‘s Lauren Shippens, we discussed how the natural intimacy of radio often lends itself to this therapeutic feeling, almost as if you’re eavesdropping upon a rather naked portrait of human emotions. With Sally, we often have her zest colliding with her frustration and ennui, almost as if she’s masking her true feelings as dutifully as you’re bleeping out the year she came from. How long can you sustain these emotional revelations by omission in a long-running serial? Was this one of the reasons you juxtaposed Sally’s life and explorations with the tension between Partridge and his wife? Also, the two-part episode “Consequence” almost tips the balance of the show altogether by showing another side of Partridge and the larger panorama of the research program. And it does have me wondering if much of this episode (and ars PARADOXICA as a whole) was designed to avoid what I call the Cuse-Lindeloff Enigmatic Storytelling Paradox, whereby a series dollops endless mysteries to rope the audience in, keeps bombarding the audience with more mysteries (perhaps as seductive as the earlier ones) while failing to resolve the previous mysteries, and only succeeds in infuriating the audience for not resolving story strands either fast or satisfyingly enough. The audience comes to resent the show and the mysteries, wondering why they bothered to tune in altogether, and turns their pitchforks on the creators for their storytelling gaffes. You alluded earlier to having a vision for the ending. While it’s impossible for any producer to anticipate the full extent of how an audience reacts, you do have a massive story. And I’m wondering the extent that you’ve addressed or anticipated this!

STANTON: We are definitely reaching a tipping point with Sally. She’s resilient, but… Okay I really don’t want to give anything away. But we’re not ignoring the compounded effects of the utter heaps of tragedies that our show has been heaping onto her. The next few episodes are really going to bring that to a head.

As for why she masks her feelings that way? That’s a byproduct of Sally being basically an amalgam of Daniel, Kristen, myself, and someone who actually knows science. I think that the three of us have a lot of zest, a lot of ideas we want to explore and a lot of things we want to say and do, as well as a lot of frustration with the world we’re living in. So we use pop culture, just like Sally does (or wishes she could) as a place that is comfortable to hide our true feelings about everything going on around us. And I think you can probably say that about a lot of people right now.

And that’s coming through in a bunch of audio dramas as well. A lot of shows, like Welcome to Night Vale and The Black Tapes and Small Town Horror, are all about living on the very edge of the unknown and getting your hands and your mind around it, trying to make some sense of the world. A lot of the things about the world that I believed to be true changed as I grew up in it. Now I think that a lot of us don’t know what to expect anymore. But we don’t want to hide from the world. So the only other option is to embrace the unknown. And pop culture references.

As for “Consequence,” Season 1 (and yes, the show from start to finish) was 100% a response to the kind of storytelling that use questions first and answers maybe. All of our questions have answers. Of course, we adapt that answer to what happens in the middle, but we are always moving toward the answer. I want our fans — or people who invest hours of their time and thought to us at the very least — to be satisfied that what we’ve built was always with purpose. I want our ending to seem unexpected yet inevitable.

CHAMPION: “Signal”‘s journey through airports allowed us to learn a few qualities about Sally — that she smokes, that she prefers jeans to sweatpants (which the part of me that bemoans sweatpants as the default American sartorial choice was pleased to learn!). And I am curious about the extent that you have worked out little personality quirks with the actors. Obviously, a story as intricate and imbricated as ars PARADOXICA is going to serve plot more than character. But how much character work do you do? Do you and Daniel struggle sometimes to find character moments? And how fixed are the answers to your questions? Have there been any radical shifts that you’ve made during the course of production? Has a read on a take ever drastically altered your story?

STANTON: I’m not sure if she smokes as a habit! Of course a lot of people did in the 40s so she may have picked it up, but she does know how bad it is for her. No, I think we wrote that in because it’s something you can’t do on planes now, and Sally is, above all, a rebel.

We’ve built the characters slowly over time. In the beginning we didn’t know much. But after casting, the actors’ readings of the scripts definitely changed how we portrayed them. Esther Roberts wouldn’t be half as interesting if it wasn’t for the amount of work Katie Speed has put into the show. Now she might be my favorite character. Chet Whickman was supposed to be a one-off soldier guy, but when Reyn [Beeler] came to record, he had put such thought and care into his performance that we knew we had to keep him on.

Our answers are usually fairly set things, but the path we take to get there is mutable. For instance, we thought we were going to stay in Polvo New Mexico for a lot longer (as an analogue to the Manhattan Project). But then we rewrote Episode 03 so that they failed in their presentation and the town got shut down, which informed a lot of how we wrote the rest of Season 1 — coming from that place of failure as opposed to being in the successful environment they had in Polvo.

CHAMPION: What’s the biggest blunder you made in the first season? What would you do differently? What’s the biggest piece of advice you could offer to any emerging audio drama producer?

STANTON: I don’t really have a great answer to this. We never made one big blunder. It just felt like a rolling series of tiny blunders. Errors in pre-planning, in communication, that made us scramble to meet deadlines a couple of times. Errors in marketing, and in how we set up the technical back-end. Not knowing my software as well as I could. aP is the first audio drama we’ve made, we’re so new to the medium, I learned so much making that first season. And I think that’s the biggest piece of advice I can give: You’re not going to get everything right the first time, or even the second time. It’s really important to forgive your own mistakes as you’re learning.

I think Ira Glass really said it best:

All of us who do creative work, we get into it because we have good taste. But it’s like there is this gap. For the first couple years that you’re making stuff, what you’re making isn’t so good. It’s not that great. It’s trying to be good, it has ambition to be good, but it’s not that good. But your taste, the thing that got you into the game, is still killer. And your taste is good enough that you can tell that what you’re making is kind of a disappointment to you. A lot of people never get past that phase. They quit.

Everybody I know who does interesting, creative work they went through years where they had really good taste and they could tell that what they were making wasn’t as good as they wanted it to be. They knew it fell short. Everybody goes through that.

And if you are just starting out or if you are still in this phase, you gotta know its normal and the most important thing you can do is do a lot of work. Do a huge volume of work. Put yourself on a deadline so that every week or every month you know you’re going to finish one story. It is only by going through a volume of work that you’re going to catch up and close that gap. And the work you’re making will be as good as your ambitions.

I took longer to figure out how to do this than anyone I’ve ever met. It takes awhile. It’s gonna take you a while. It’s normal to take a while. You just have to fight your way through that.

Frank Partnoy (The Bat Segundo Show)

Frank Partnoy appeared on The Bat Segundo Show #468. He is most recently the author of Wait.

Condition of Mr. Segundo: Impatient for a pause.

Author: Frank Partnoy

Subjects Discussed: Perception of time, Walter Clark, pauses and authenticity, Jon Stewart’s 20 second pause in response to Sarah Palin’s “squirmish,” This American Life, Christian Marclay’s The Clock, “Kristen Schaal is a horse,” Tao Lin’s use of repetition, John Boyd’s OODA loop, whether a military strategist’s ideas are entirely applicable to dating, how delay persuades us in other context, the first date as a military tactic, lunch-oriented dating services, making bad snap decisions because of a photo, panic and fast talking, being aware of your audience when talking, the Einstellung effect, Peter McLeod’s experiments with chess players, the three move checkmate, how even chess masters get stuck in the muck, the dangers of being overconfident, unemployment, Sarkozy’s failed efforts to readjust the GDP to help long-term economic impact, readjusting human attention from the short-term solution, cognitive bias, subliminal messages, how fast food logos help to read, SAnford DeVoe’s experiments, racist treatment decisions from doctors, the unanticipated advantages of a spare second, the effects of wealth upon happiness, finding another activity while waiting, viewing time as more scarce and impatience, when scientific developments are at odds with capitalist realities, the downside of success, procrastination, subliminal messages within the film Fight Club, topless women in The Rescuers, when people are vulnerable to subliminal messages, the invention of the Post-It, the advantage of fresh eyes, Archimedes and Newton, Arthur Fry, thin slicing and the Malcolm Gladwell reductionist incarnation of this idea now welcomed by marketing people, Dr. Phil’s incorrect use of thin slicing, and why thin slicing isn’t two seconds according to the studies.

EXCERPT FROM SHOW:

Correspondent: So let’s start off with panic, which seems a very good thing to start off with. Panic, as you say, has much to do with our perception of time. You bring up Walter Clark’s theory — he’s this acting teacher. He says that the best actors are the ones who don’t panic. So how much of our waiting has to do with panic or any other sense of emotional paralysis? How much of our anxieties come from this false comprehension of time? If there’s this correlation between good acting and not panicking, well, I have to ask, Frank, what’s the compromise between being human and being some pretender or some mimic?

Partnoy: Oh, it’s a great question. I’ve learned so much from Walter Clark, who’s one of the best acting coaches I’ve been around. My daughter takes a lot of acting classes. So I’ve learned a lot from him. And I think an acting coach, like somebody who is sophisticated watching a play or a performance, can see through a mimic. You can tell when somebody’s a fake when they’re performing. One of the things that panic does is that it leads people to speed up their performance. So that they run through what the acting coaches call beats. So it’s partly true of acting generally. But it’s especially true of comedy, I think. One of the things that I took away from watching him in action was that a lot of comedy really is about pauses and delays.

Correspondent: Yes.

Partnoy: And understanding the audience and being authentic in your understanding of the audience and figuring out how often to pause. You know, we’re talking right now. We’ve just met each other, right? And we’re sort of watching each other and having this conversation.

Correspondent: And you’re a total phony.

Partnoy: Yeah. Sorry.

Correspondent: Or are you? Maybe I’m the total phony. Who knows? Maybe we’re both being phony. I don’t know.

Partnoy: Hopefully we won’t be as we move along.

Correspondent: I think I can trust you so far.

Partnoy: Alright. Likewise. I’m enjoying it so far.

Correspondent: Okay, good.

Partnoy: I’m grabbing my wallet now. But I do think, just when we start having these conversations in our normal lives, even if we’re not acting that there’s a role of the pause and the delay. That just speeding through something 100 miles an hour is not a very effective communication technique. So one of the things I’ve been interested in for a long time is that. I teach law school classes and my students can’t comprehend me if I’m speaking 100 miles an hour. On the other hand, I can speak pretty quickly and they’ll get content down. They’ll write. So it’s this kind of balance back and forth. And when you panic, you speed up. You speed through the pause. One of the things that I’ve been playing with, as I’ve done three years of research now on the book and wrote it, is how long I can get away with pausing. [short pause] So I talk a little bit about Jon Stewart as an example and this extraordinary moment he had in one of his shows where he had captured Sarah Palin questioning some of the Obama military action in Libya and saying she didn’t know what to call this. “We’re not at war. What’s a word for it? I don’t know the word.” And then Sarah Palin uses this non-word “squirmish.” And for me as a speaker, I would have a hard time waiting, pausing more than a couple of seconds, telling a joke and then delaying. My son actually — I have an eight-year-old son — he’s a lot better at telling a joke and then delaying the punchline. So he’ll make up some joke. “A couple of cantaloupe were married. What did they name their daughter?” And then he’ll do a dramatic pause and say, “Melony.” Which is just made up. But he’ll get a laugh where I’m not sure I can do. But Jon Stewart is able to pause for twenty full seconds. I think that must be some kind of a world record for pauses. And he’s just the opposite of panic. He’s utterly fearless with the audience, feeling them out, understanding and being totally authentic, right? I mean, that’s one of the reasons why we love Jon Stewart so much, is that he’s command of timing and gets us and gets what we want and goes through this kind of time framework, which I think is actually very valuable in all the decisions that we make. Which is a two-step process. The first step is: How long can I wait before taking this action and making this decision? What’s the maximum amount of time that I can wait? And then the second step is delaying until that moment. And so in that example, he decided it was going to be twenty seconds. Probably not consciously. Because he’s a a master. And he was able to wait twenty seconds. I could never do that.

Correspondent: Well, since you brought up pauses, I think we should talk about them.

[pause]

Correspondent: You observe that the best radio announcers and interviewers use them.

[pause]

Correspondent: Comedians like Jon Stewart, of course.

[pause]

Correspondent: You can even point to the Mike Daisey pauses in This American Life.

[pauses]

Correspondent: Oh. Am I sort of interfering with the question? I don’t know.

Partnoy: Beautifully done. Masterful.

Correspondent: Actually though, I do want to bring this up. I could even bring the William Shatner pause into this equation. But I’m wondering if how we react to a pause shares much in common with how we react to, say, a loop. There’s this comedy routine — I’m not sure if you’re familiar with it — “Kristen Schaal is a Horse” — where basically it just goes on and on and repeats and repeats. It’s basically this woman dancing and a man clapping and going, “Kristen Schaal is a horse! Kristen Schaal is a horse!” And it goes on and loops for like fifteen minutes. There’s a Tao Lin poem where he constantly says the line “the next night we ate whale.” And there are all sorts of repetitions throughout art and culture and so forth. Does the manner in which we ascribe authority to a pause have much in common with this loop situation?

Partnoy: Oh, that’s a fascinating question. I think so. I mean, loops come up in all sorts of contexts and they relate to time in a very fundamental way, right? There’s — I’ll forget the artist, but there’s the 24 hour loop exhibit that’s out now.

Correspondent: Oh yeah. Christian Marclay’s The Clock.

Partnoy: It’s incredible, right? The Clock, where you’ve got, from various films, depictions of 12:01 and 1:05 sort of cycling around. And there’s something really powerful about the reinforcement of the story. A lot of jokes get funnier as they’re retold. So much so that even comedians, they might not even laugh at the joke, but they’ll just think, “Wow, that was really funny.” And loops come up also in a completely different context, I found in my research. Which is in the military.

Correspondent: Mr. Boyd.

Partnoy: Mr. Boyd, right. John Boyd, probably the greatest fighter pilot in history, who created something called the OODA loop. O-O-D-A, for Observe, Orient, Decide, and Act. This approach to decision making started in a military context, but now people use it in all areas of life and business. Where you take time and initially you observe. And you orient. You figure out where the enemy is. And then finally you make the decision. And then the decision is the mental part. And the act is the implementation part. And what John Boyd talks about is running through an OODA loop. So going through that cycle of Observe, Orient, Decide, and Act over and over again, watching the jet fighter you’re trying to shoot down to see what that person’s proclivities are — Do they like to faint to the left? Or the right? How fast are they? — to understand and to confuse them too. Which is also interesting. Because I’m not sure whether the art projects or films that we talked about earlier — I’m not sure they’re really meant to confuse. But in the offensive aspects of the OODA loop, part of what John Boyd is suggesting they do is get a speed advantage to confuse the enemy. And the development of the F-16, he was the person who basically created the idea of the F-16 and pushed its development. The kind of aircraft that’s like using a switchblade in a knife fight, that you can use very quickly to confuse and disorient your opponent. So these loops show up. Expertise, if you think about it. Where does expertise come from? It comes from a kind of repeated loop, right? Chess players become experts by learning openings and repeating that over and over and over again and seeing certain patterns. What behavioralists call chunking. Being able, because they’ve been through those loops so many times, to recognize patterns consistently. So it’s a really interesting question. And I think to some extent, these really deep insights and expertise come out of repeated loops as well.

The Bat Segundo Show #468: Frank Partnoy (Download MP3)

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