I object strongly to your comment. I find every part of it to be absurd.

> Reading and learning from imperfection is the defintion of 'reading and learning', because there's nothing else to read.

> If I listened to HN comments, very little research would have value, very little information would be worth reading. The top comment is almost always of this nature; it's depressing to me that it still happens; we all should be very familiar by now with social media and these patterns, yet we keep following them.

Just as "laymen blanket dismissing productive scientists" is a tired and sad trend, so too is this - because now there is a delicious and ironic reversal. I am the productive scientist here, whose day job involves extracting the useful content from scientific articles by analyzing their methods and results. When I read, it is my pride to be able to determine when the imperfections of an article destroy its content, or if these imperfections can be worked around and to what degree. Like other academics who can do the same, I believe this is a skill that requires training and intelligence, and its outcome is to make subjects understandable that would otherwise be a maze of bad results. People like me are confident at playing the Many Labs replication guessing game. I read useful articles every day, and the original article is not one of those; it falls squarely in the "awful" bucket. I am not the uninformed layman making pithy snarks which have no specific relevance to the situation at hand - criticisms with general applicability, copied from elsewhere.

You are. You are the layman complaining about what the actual scientists do and how they advance the field. Even your comment complaining about this trend is reflected adroitly upon yourself, in a very ironic manner. Notice how my original comment uses deep field-specific knowledge of fonts, science, and statistics to make my point, while you only use broad strokes about social media trends, as you lack such knowledge. In fact, this remarkable and joyous irony about a person complaining about uninformed criticism, while making exactly that uninformed criticism himself, was what led me to make this comment, as otherwise I would not have bothered to respond.

> > I have only skimmed it [the OP].

> Maybe that should be at the top of the comment. Imagine an OP which presented a detailed analysis and then, at the bottom, said 'I only skimmed the thing I analyzed' - imagine what the top comment would say.

My comment was based on the parts I read, and it still stands correctly - unless you have something meaningful to say? For example, if you believe yourself to also possess the skill to analyze articles and extract their value, it's open to you to do a complementary analysis. So far, you have not even addressed any of the points, only pushed some dismissals which are themselves easily dismissed: a programmer can contribute to the Linux kernel without having read every line.

In fact, I looked up the original article's author, and his affiliation is not only with Adobe. He is also a PhD candidate at Brown University, under advisor Jeff Huang. This makes my opinion far more negative, but not of the PhD candidate, who only has my sympathy. Rather, his advisor bears the blame here, as the advisor has the responsibility to control ethics and give guidance on the unfamiliar. PhD students depend on their advisors to know the way forward, especially on statistics and scientific culture, which they cannot navigate the conventions of on their own. Jeff's behavior here evokes complex emotions in me, related to the ethics of science and responsibility, leading to this conclusion: Brown University should no longer allow Jeff Huang to advise students, and Jeff Huang's articles should be either ignored, or looked over by data thugs if their results need to be relied on. Or, if Jeff's incursion into experimental science is him trying something unfamiliar, then perhaps he too is a victim of his own ignorance and bears no ethical blame or responsibility, but he should stay away until he learns better.