I find that the act of disagreeing with a sharp takedown sharpens my appreciation of the work in question. If I have to think a bit harder about what I like and why I like it, that’s fine by me, especially when it’s something that has been almost universally acclaimed.
...It’s not that I long for an epidemic of gleeful brutality but I will always cherish the right of critics to express their hate, hate, hate in the ultimate service of what they love, love, love.
A website is its own, singular thing. We know it isn’t a book, a TV show, a film, or a song, but our language is limited to talking about it in those restrictive boxes. A website is a mix of all of those things, and none of those things. It is influenced by place and time. A website changes with age. It can evolve and regress.
It was then I wondered if the problem wasn’t that web design lacked its own Emigré. What if we actually lacked a shared language to critically discuss web design? Art, architecture, and even graphic design, have critics and historians that give context to new work through the lenses of culture and important work from the past.
[Designer News] is good, useful content, but most of it is written by designers themselves. Taken as a whole, it’s also a useful illustration of something vital that our industry lacks: balanced, insightful, independent writing that critically evaluates the profession.
There is a place for discussing technique, for which forums like r/Design, Designer News, and the like are well suited. Yet expecting these platforms to provide insightful, serious critical discussion is like going to McDonald’s for an artisanal sandwich. Sure, they may advertise that, but that’s not really what you’re getting.
One of the best (and easiest) ways to start making sense of a document is to highlight its “important” words, or the words that appear within that document more often than chance would predict. That’s the idea behind Amazon.com’s “Statistically Improbable Phrases”:
Amazon.com’s Statistically Improbable Phrases, or “SIPs”, are the most distinctive phrases in the text of books in the Search Inside!™ program. To identify SIPs, our computers scan the text of all books in the Search Inside! program. If they find a phrase that occurs a large number of times in a particular book relative to all Search Inside! books, that phrase is a SIP in that book.