A while back we did a monster-sized shootout for Blood, Sweat and Tears’ second release, an album we consider THE Best Sounding Rock Record of All Time. In the midst of the discussion of a particular pressing that completely blew our minds — a copy we gave a Hot Stamper grade of A with Four Pluses , the highest honor we can bestow upon it — various issues arose, issues such as: How did this copy get to be so good? and What does it take to find such a copy? and, to paraphrase David Byrne, How did it get here?
Which brings us to this commentary, which centers around the concept of outliers.
Wikipedia defines an outlier this way: “In statistics, an outlier is an observation that is numerically distant from the rest of the data.” In other words, it’s something that is very far from normal. In the standard bell curve distribution pictured below, the outliers are at the far left and far right, far from the vast majority of the data which is in the middle.
In the world of records, most copies of any title you care to name would be average sounding. The vertical line in the center of the graph shows probability; the highest probability is that any single copy of a record will be at the top of the curve near the middle, which means it will simply be average. The closer to the vertical line it is, the more average it will be. As you move away from the vertical line, the data point — the record — becomes less and less average. As you move away from the center, to the left or the right, the record is either better sounding or worse sounding than average. (more…)