Kimagure Orange Road as a slice of life in full-Bubble Economy Japan 

I was curious why I was fascinated by watching on . I learned about this 1987 via

and despite the casual sanctimonious misogyny, I somehow appreciated several episodes (with liberal use of the +10 seconds button).

Reading about reactions to the IPO made me wonder if it was for the taste of late-stage bubble life…?

is really amazing on many levels.

I exported its kanji-to-radical dependency graph, as well as their list of vocabulary (real words), for planning some self-study, but wound up with code that plans a route through the radicals/kanji such that you can learn the most vocabulary at each step.

If a "lesson" is learning *two* radicals/kanji plus all the vocabulary they unlock, this finds 214 lessons, each unlocking a median of 30 vocabulary at a time. 🦐🚉

Crude oil ETF 

A coworker showed me this chart of UCO, an ETF intended to track 's spot price.

crashed 93% from mid-2014 to beginning 2016.

Then it crashed another 92% from beginning 2020 to now.

Total drop since the 2014 high, an eye-watering 99.6%.

"Should I buy now, at $32?"
"So you can sell in six months for $3?"

genocide mention, 100 years ago 

Before I read any of 's fiction or memoirs, I read this series of blog posts of his research on Indians and Armenians in a WW1 prisoner-of-war camp.

This photo and its caption define parenting, and much of life, for me—

‘Orphan refugees, who are hoping to reach some town where there is bread.’ Nat Geog: Volume XXXVI, Number Five, November 1919, p. 410.

"Photorealistic Project"

I super-approve—I dgaf about white & metal statues, I like seeing photorealism just like the ancients.

But they don't have the Eastern Roman emperors—I want to see my boy Justinian, and Basil II the Bulgar Slayer.

Also there's no way these guys were this blond, is there? Surely the ancient writers recorded hair color? All the blond Italians today are descended from the Norsemen who rampaged through there a thousand years later.

“Tech Sector Job Interviews Assess Anxiety, Not Software Skills“

‘in our study, all of the women who took the public interview failed, while all of the women who took the private interview passed. Our study was limited, and a larger sample size would be needed to draw firm conclusions, but the idea that the very design of the interview process may effectively exclude an entire class of job candidates is troubling.”’

The paper has a diagram of performance/gender, omg 😱.

This Shiga pottery cup broke today. Bought it at a shop in Uji, just outside Byōdōin. When I visited it again couple of years later, they’d closed.

TIL: — A distributed, syncable key-value store (early alpha)

Comparison to and attached (via Excited because Earthstar offers:

- mutability, deletion 🎉
- multiple devices per author 🎊
- partial replication 👏
- 🥴

H/t @staltz (

teaching me ヒョウ onyomi reading of 表 and I'm fishing around for any word I know using "hyou" 🤔💡—KyoAni's ! Streams on Funi right now, will re-watch tonight 😍!

I made this lost of all onyomi per sorted by frequency of occurrence:

I have good mnemonics for some of the top ten but need to improve several—

コウ (kou)
ショウ (shou)
ソウ (sou)
キョウ (kyou)
トウ (tou)
シ (shi)
カン (kan)
セン (sen)
キ (ki)
ケン (ten)

in *Ocean Renegades* about the life during the Paleozoic drops biology fire:

“So basically… the lungs and limbs are things that evolved a long time before any fish stepped onto land. And they evolved for reasons that are unrelated to walking on land.”

“You’ve got it 😌”

“Complicated structure like these don’t just evolve overnight.”

STEM education is hard. Core concepts like this, that influence everything, are subtle and easy to misunderstand and hard to quiz on.

Holy! What a brilliant cover—I was terrifiededly admiring the right “optimist cover” and thinking wait, all the Tibetan and Pamir ice caps have melted, this is optimistic???, and thought to check the back, and oh my, what a shock.

Not frequent that design can shock me. magazine does it again. Happy to pay for this 🔥.

I did some crazy TypeScript compile-time type checking for work.

Odds of it passing code review: 30%.

Odds of Vito Corleone being pleased: 3000%.

offers today’s sentence 🤣:

(Tanjun na baka de aritai)
“Want to be a plain idiot.”

(Streams on Funimation.)

Pretty sakura colormap for my plot: "PuOr" in matplotlib.

Umm, I doubt anyone wants to know what the plot is of (though it's very interesting, it takes a long time to explain, and it might not be that useful).

Today we hit 20-session trailing returns of -30% 😳!

But enough about the past! What about the next three days? What does history say it might go up or down to till Monday close?

As usual, these charts show the trailing returns, so find -30% on them. Then one shows the WORST drop over next 3 days, the other the BEST spike over 3 days. Color is year.

Depending on whether you've bought put or call options expiring Monday 😊.

What an incredible ride, in a ghastly, Army of Darkness sort of way.

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Might as well post the drawdowns chart that includes this pre-1928 monthly data from Robert Shiller.

I'm thinking a lot about 's short-term vs long-term debt cycles from "How the economic machine works in 30 minutes" because just eyeballing this chart, it seems that outside the world wars and great depressions we have >20% drops every ~10 years, i.e., the short-term debt cycle.

Wars and depressions overlap with the long-term debt cycles (~75 years)—coincidence?

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These are nominal prices. I've been staring at this chart, of nominal vs real (inflation-adjusted) prices of the S&P also. Log-plot.

Staring at the nominal curve gives a wrong feeling about the post-WW2 boom. And underemphasizes how shitty the 1965–1980 era of stagflation and oil shocks were for equities.

The inflation-adjusted curve shows the post-WW2 era as a more natural extension of the pre-WW1 era. Interpolating straight lines (→exponential growth in log plot) to today gives ~1500~2000.

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It's an ugly chart, far more busy than my memory of Hussman's and needing deep introspection, but here's the seventeen bull market tops that were followed by drawdowns of 20% or more to their bear market bottoms.

Split into two sections just to have a hope of seeing each of the lines.

Each is quite a story.

(SVG at for nicer zoom)

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