Welcome to the home of Noah Brier. I'm the co-founder of Variance and general internet tinkerer. Most of my writing these days is happening over at Why is this interesting?, a daily email full of interesting stuff. This site has been around since 2004. Feel free to get in touch. Good places to get started are my Framework of the Day posts or my favorite books and podcasts. Get in touch.

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Remainders: From Parking Garages to Political Contributions

It’s been awhile since I did a Remainders posts so I figured I’d throw one together. In theory it’s all the other stuff I didn’t get a chance to blog about. In reality, it’s pretty much everything I’ve been reading that isn’t about mental models/frameworks (and even some of that). You can find previous versions filed under Remainders and, as always, if you enjoy the writing, please subscribe by email and pass around.

Let’s start with some books. Here’s what I’ve read in the last three months (in order of when they were read):

Okay, onto some other reading, etc. …

This Wired piece about the possibility of a coming “AI cold war” has two particularly interesting strings in it: One is a fundamental question about the nature of technology and its relationship with democracy (put simply: is the internet better structured to support or defeat democratic ideals) and the other is about how China (and the US) will use 5G as a power play (“If you are a poor country that lacks the capacity to build your own data network, you’re going to feel loyalty to whoever helps lay the pipes at low cost. It will all seem uncomfortably close to the arms and security pacts that defined the Cold War.”)

I’ve been fascinated by the mysterious attacks against Americans in Cuba since I read about them (probably over a year ago now). I was excited to see the New Yorker finally dig in.

We’ve been having lots of trouble convincing our three-year-old to wear a coat in the cold. Turns out its pretty normal.

The Chronicle of Higher Education asked a bunch of academics for their most influential academic book of the last twenty years. Lots of interesting things to read here.

This is from earlier in the year, but it’s worth re-reading Bruce Schneier’s piece on securing elections. More recently he had a good one on mobile phone security.

TILs:

  • Benoît Mandelbrot (of fractal fame) is apparently responsible (at least in part) for the introduction of passwords at IBM. From When Einstein Walked with Gödel (which I’m reading now), “When his son’s high school teacher sought help for a computer class, Mandelbrot obliged, only to find that soon students all over Westchester County were tapping into IBM’s computers by using his name. ‘At that point, the computing center staff had to assign passwords,’ he says. ‘So I can boast-if that’s the right term-of having been at the origin of the police intrusion that this change represented.'”
  • Also from the same book, the low numerals are meant to be representative of the number of things they are. Since that makes no sense, here’s the quote from the book: “Even Arabic numerals follow this logic: 1 is a single vertical bar; 2 and 3 began as two and three horizontal bars tied together for ease of writing.”
  • When you get helium super cold very strange stuff starts happening.
  • A Rochester garbage plate “is your choice of cheeseburger, hamburger, Italian sausages, steak, chicken, white or red hots*, served on top of any combination of home fries, french fries, baked beans, and/or macaroni salad.”
  • There’s a taxonomy of parking garage design (image below).

Barkley Marathons sound awful.

This hit close to home:

It took 200 years for them to start making brown point shoes for non-white ballet dancers

There’s apparently a big conversation going on in the machine learning community about whether ML is alchemy:

Rahimi believes contemporary machine learning models’ successes — which are mostly based on empirical methods — are plagued with the same issues as alchemy. The inner mechanisms of machine learning models are so complex and opaque that researchers often don’t understand why a machine learning model can output a particular response from a set of data inputs, aka the black box problem. Rahimi believes the lack of theoretical understanding or technical interpretability of machine learning models is cause for concern, especially if AI takes responsibility for critical decision-making.

This is a park covered in spiderwebs:

Tangentially related, here’s how corporate America contributes to politics by industry:

The Article Group email list is worth subscribing to. Back issues here.

I loved this quote from philosopher Daniel Dennet’s talk on what he calls intelligent design (don’t worry, it’s not the same):

Stochastic terrorism is one of those ideas you read once and think about from then on

I don’t know where I fall on this, but I found Douglas Rushkoff’s argument that universal basic income is a scam being put forward by technology companies fascinating:

Uber’s business plan, like that of so many other digital unicorns, is based on extracting all the value from the markets it enters. This ultimately means squeezing employees, customers, and suppliers alike in the name of continued growth. When people eventually become too poor to continue working as drivers or paying for rides, UBI supplies the required cash infusion for the business to keep operating.

Adam Davidson had a good Twitter thread about “both-sidism” in political reporting.

Wired on “it’s not a bug, it’s a feature”.

The changing landscape of business expenses:

It seems like one out of 100 Player’s Tribune articles are amazing. This one from former Clipper Darius Miles fits the bill.

I’ve been really enjoying John Horgan’s Scientific American blog “Cross-Check”.

David Grann, who is probably my favorite author, snuck a book out without me knowing. Called White Darkness, it appears to be an expanded version of his New Yorker article about Antarctic explorers from earlier this year (one of my favorites).

Alright, I’m going to cut this here … I’m only caught up to late October, so look out for a part two. Thanks for reading.

November 12, 2018 // This post is about: , , , , , , , , , , , , , , , , , , , , , , , , , ,

Remainders: From Systems Thinking to Stephen A. Smith

Been awhile since I got one of these Remainders posts out. For the uninitiated, it’s a chance to share some of what I’ve been reading/seeing. You can find past versions filed under Remainders. Also, if you want to subscribe to the email so you actually find out when things are published here (on the rare occasion they are), please sign up here.

Alright, let’s start with books. Since last time I’ve read:

  • China’s Economy: What Everyone Needs to Know (Arthur Kroeber): Long and probably way more detail than I needed, but offered an interesting glimpse into how China became the country it is. Definitely start with this podcast before you decide to read the book.
  • Free-Range Chickens (Simon Rich): Simon Rich is funny and I needed a break after the China book. This is an hour or two of reading. You can also just start by checking out his humor writing in the New Yorker (go with Sell Out first).
  • Jennifer Government & Lexicon (Max Barry): Two sci-fi(ish) novels by Max Barry. Jennifer Government is about warring loyalty programs and Lexicon is about mind-controlling words. The latter is better. Fun and easy.
  • Men Explain Things to Me (Rebecca Solnit): Given everything that’s happened with #MeToo over the last year, it’s fascinating to go back and read this as it foretells a lot of what we’ve seen. Also, Rebecca Solnit has become a must-read for me and I’m looking forward to digging through more of her work.
  • Born Standing Up (Steve Martin): Steve Martin talking about his life as a comedian (I did the audiobook for this one, which he narrates).
  • E=mc2: A Biography of the World’s Most Famous Equation (David Bodanis): This was probably my favorite of the bunch. Sounds dry, but it’s a fascinating account of an equation I didn’t really understand. Takes you through in a step-by-step manner (it literally starts with “e” and then “=” and so on).
  • Thinking in Systems (Donella Meadows): I’ve read most of this once before, but I thought I could use a refresher. This is a foundational text in systems thinking and is actually easier to read than it first seems.
  • Bad Blood (John Carreyrou): The story of Theranos. Couldn’t put this down once I started.

Now onto the links.

Speaking of Donella Meadows and systems thinking, you can find lots of her work at the Academy for Systems Change site. Check out her writing on leverage points especially. Also, here’s her iceberg model:

This New Yorker story by Patrick Radden Keefe on a Dutch woman who testified against her mobster brother is amazing. Her book, which was a bestseller in the Netherlands, just came out in English this week (I thought it was coming out later this month … guess I know what I’m reading next).

Despite it’s $120+ billion market cap, Adobe is mentioned shockingly infrequently amongst the top software companies in the world. This piece by Blair Reeves does a lot to tell the story of how the company has achieved what it has.

For a few years now I’ve had a personal policy to try to give people on the street asking for money something if I’ve got it. This article makes a good case that it’s worth doing:

Much more research exists on giving cash to the poor in developing countries. Jeremy Shapiro examines the effects of giving money to people in need through his work as a co-founder of GiveDirectly and as a researcher with the Busara Center for Behavioral Economics. At GiveDirectly—a nonprofit that, as its name suggests, offers cash with no strings attached—he worked on a study in Kenya; between 2011 and 2013, the researchers determined, the program improved people’s food security, allowed them to buy other crucial goods (from soap to school supplies), and was beneficial to their psychological well being. Counter to my childhood lesson, recipients didn’t spend any more than they had in the past on so-called temptation goods like alcohol and tobacco. “The takeaway is surprisingly unsurprising—when you give money to poor people good things happen,” Shapiro said. “People eat more, they invest in businesses; you see people reporting being happier and less stressed out.”

Ray Lewis got inducted into the NFL Hall of Fame this week. 18 years ago he had some involvement in a murder. How he’s avoided talking about it and come to be revered is a story in and of itself.

TIL:

This is a good visualization of roster turnover in this year’s NBA offseason:

Really amazing piece by Guardian writer Hannah Jane Parkinson on her struggle with bipolar disorder.

Podcasts:

This story about a fungi that drugs host insects with psilocybin has everything. This bit is my favorite:

And at some point during this work, it dawned on Kasson that he was working with illicit substances. Psilocybin, in particular, is a Schedule I drug, and researchers who study it need a permit from the Drug Enforcement Administration. “I thought: Oh, crap,” he says. “Then I thought: OH CRAP. The DEA is going to come in here, tase me, and confiscate my flying saltshakers.”

The article that eventually ended up with Elon Musk calling one of the Thai cave rescuers a pedo is worth reading. It makes a case for specialization that’s interesting:

The Silicon Valley model for doing things is a mix of can-do optimism, a faith that expertise in one domain can be transferred seamlessly to another and a preference for rapid, flashy, high-profile action. But what got the kids and their coach out of the cave was a different model: a slower, more methodical, more narrowly specialized approach to problems, one that has turned many risky enterprises into safe endeavors — commercial airline travel, for example, or rock climbing, both of which have extensive protocols and safety procedures that have taken years to develop.

I love these pieces by the artist 1010. Here’s one:

Last, but not least, who doesn’t want to read a profile of sports-mouth(???) Stephen A. Smith? Also, if you haven’t already , go and read The Awl on Stephen A., which includes the canonical Stephen A. Smith parody tweet (for those that haven’t heard him before, he has an uncanny ability to get himself into a frenzy about anything and a willingness to always take the other side):

Thanks for reading. Please let me know if I missed anything, feel free to share with others, and subscribe to the email if you haven’t already. Thanks!

August 9, 2018 // This post is about: , , , , , , , , , , , , , , , , , , , , , , , ,