Few things.
1. I think we should keep the discussion about the review. Not Amirs personality nor the composition of the people who read ASR. Those thi gs have nothing to do with each other and mixing them makes things get personal and inflammatory unnecessarily.
2. I'm in sciences. If I'm reading 2 different papers, in one the author says "looking at x, it seems that y", while the other paper describes methodology, results and conclusions, I will likely put more weight to that. I might read it, and try amd think why the methods might be wrong, or why the conclusion is etc. but the onus is on me to figure that out and bring meaningful reasons why I think there's a problem.
Simply saying "because it doesn't fit my biased opinions" isn't enough, or relevant.
And if we figure out a real reason it might be lacking, we can experiment again, get more data and revise our conclusion. That is science. And it brought us so far.
3. Reading more of Amir's comments on why there are issues with other measurements, I tend to accept his points. He did go through a process to separate noise and distortion, and has described that process. He explains why it matters.
4. For people who have used EQ you know that certain transducers take EQ better than others. There's no secret in that. It's also easy to change your EQ to add or remove certain areas to emphasize if they are "there or not". That seems like a perfectly reasonable approach to me.
5. Don't confuse conciseness in writing with a short review time. Amir specifically mentions he tried to get a different fit for hours, repeating the process multiple times and listened for hours validating the results.
Compare that to people taking notes while listening over. along time, well, studies show that many things can affect our attention to detail, even things like time of day and other external factors. It is ok to say we have biases. Expectation biases, confirmation biases, even being approached for a review, as you know that giving a good review has a higher likelyhood of being approached again or being sent things in the future. And yet, we accept, as a community reviewers saying "I got this for free, but trust me, that had no influence over my opinion" instead of minimising biases. Measurements are one such approach.