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.
Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.