Science
Interdisciplinary
Which half?
Scientific writing
A tiny rivulet in a distant forest
The downgrading of experience
Humility
Art and science
The Structure of Scientific Revolutions
BLDGBLOG
The Art of Doing Science and Engineering: Learning to Learn
The illustrated guide to a Ph.D.
evermore, and other beautiful things
An Article by Linus the SephistIf all evidence of civilization on Earth was destroyed, and humans had to re-build society from the ground up, what would be different? Feynman reckons that pivotal scientific moments, like the discovery of the atom, will still happen in the same way. Perhaps mathematics will be similarly rediscovered.
Someone told me once in response to this question, no artwork would ever be recreated. The art we create – music, stories, dance, film – isn’t a fundamental element of the universe, or even of humanity. It’s unique to each artist. If you choose to create art, you leave something in the world that has never had a chance to exist before, and will never again have a chance to exist. There will never be another Beatles or Studio Ghibli or Picasso. Art, in its infinite variations of originality, is cosmically unique in a way the sciences will never be. Art immortalizes human experiences that would otherwise vanish in time.
Reality is Very Weird and You Need to be Prepared for That
An EssayWe might be closer than we think to cures for depression, hypertension, and yes, even obesity.
The answer to scurvy was just one thing, plus a few wrinkles — mostly “not all citrus has the antiscorbutic property” and “most animals can’t get scurvy”. This was only difficult because people weren’t prepared to deal with basic wrinkles, but we can do better by learning from their mistakes.
This means don’t give up easily. It suggests that there is lots of low-hanging fruit, because even simple explanations are easily missed.
Lots of theories have been tried, and lots of them have been given up because of something that looks like contradictory evidence. But the evidence might not actually be a contradiction — the real explanation might just be slightly more complicated than people realized. Go back and revisit scientific near-misses, maybe there’s a wrinkle they didn’t know how to iron out.
Tortured phrases
An Article by Holly ElseIn April 2021, a series of strange phrases in journal articles piqued the interest of a group of computer scientists. The researchers could not understand why researchers would use the terms ‘counterfeit consciousness’, ‘profound neural organization’ and ‘colossal information’ in place of the more widely recognized terms ‘artificial intelligence’, ‘deep neural network’ and ‘big data’.
Further investigation revealed that these strange terms — which they dub “tortured phrases” — are probably the result of automated translation or software that attempts to disguise plagiarism. And they seem to be rife in computer-science papers.
Why Most Published Research Findings Are False
A Research Paper by John P.A. IoannidisThere is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.
A hypothesis is a liability
A Research Paper by Itai Yanai & Martin LercherThere is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Brilliant Hardware in the Valley of the Software Slump
It begins with craft
Something strange is happening in the world of software: It’s slowly getting worse. Not all software, but a lot of it. It’s becoming more sluggish, less responsive, and subtly less reliable than it was a few years ago.
In some ways this is hyperbole. Objectively, we’ve never been able to do so much, so easily with our smartphones and laptops and tablets. We’ve never pushed more data between more places more readily. But while the insidious “worseness” I mention falls only in part on the engineering side of things, it falls harder on the more subjective, craft side of things, making it all the more worrisome.
Why should we care about this? Because the majority of our waking hours take place within the confines of applications. A truth recently amplified by the covid pandemic.
And I believe software used by millions (if not billions) has a moral duty to elevate the emotional and intellectual qualities of its users. That elevation begins with craft.
Penn Station
In the same way that physical architecture can affect a mind, so too can software. Slower, less reliable software is like Penn Station: Sure, you can catch a transfer from one train to another but the dreary lowness of the place, the lack of sunlight or sensible wayfinding will make you feel like a rat, truculent and worthless, and worse: You’ll acclimate to that feeling and accept it as a norm.
Edges
Hardware has literal and metaphorical edges — it must be fully complete and largely bug free to ship. Software? It’s far more amorphous, like mist. Patches can be endlessly pushed. It never ends. Faulty hardware can destroy a company. Faulty software can be patched. The butterfly keyboard debacle may never be lived down. Even as I type on this improved Magic Keyboard, I can’t help but wonder: Did they really test this thing? I had three butterfly keyboards die on me, twice in the field. Not fun. Hardware failures live long in the mind.
The business case for craft
macOS software that adheres to craft — Things or Carbon Copy Cloner or BBEdit or Sublime Text (which, despite not being “native native” feels so solid and so responsive you’re willing to overlook its quirks) or Bear or Alfred or iA Writer or Keynote (arguably one of the best pieces of macOS software of all time) or anything by Panic, heck, even Terminal or Quicken (which, against all rational expectations is just a joy to use)5 — exists in troves, the existence of such proves to the Slacks or Twitters or Adobes of the world that it’s not impossible nor rare to produce craft-oriented software in service to user fluency, and still make a profit.
In fact, there’s a business case to be made for being craft- and fluency-focused. We’ve seen entire companies with business models that could be summarized as “Bloat-Free X” emerge in recent years. Affinity is bloat-free Adobe. Install Adobe Creative Cloud on your laptop and marvel at the no fewer than a dozen processes whirling around in the background for unknown purposes. It’s no surprise Affinity Photo and Publisher and Designer have taken off. Sketch’s main feature for many years was simply: Not Adobe.
And the web! When you care — when you really give a shit — the web is awe inspiring. I still can’t believe Figma is web-native (also born from the Not Adobe camp). That an application can feel so powerful, so fast, so well-crafted and be fully web-based should be a kind of lighthouse-archetype for all other sites lost in a sea of complexity and muck and unnecessary frameworks.