What I think is interesting about this study is the effort to establish a critique of building product manufacturers’ published data based upon what is apparently a thoroughly-formulated, and rare, blind test supervised by a reputable industry expert.
Most of us rely every day upon manufacturer’s data. If it appears in a nice chart, with ASTM numbers, it looks good to the majority of people selecting and approving products in the industry. My experience a decade ago digesting a library of national manufacturers’ product data for a publishing company was that nearly 20 percent of the data were simply wrong: units not corresponding to test standard reporting requirements; order of magnitude errors in numbers; IP/SI conversions with wrong units or numbers; and an accretion of clerical errors. This was before any analysis of the bigger issues, such as: Is this the proper test? Was it carried out on a production sample or a laboratory-selected sample? Does the data reflect ongoing QC testing, or is it based on ASTM X 999 - 1972?
I have no doubt that if a similar type of test program was conducted on other types of building product materials that the data could be as scattered as they were in this one. As David thankfully asks above: how much does this matter? That’s up to the specifier to understand, but at a certain point, it does.
My thanks to Ron for his patience in helping guide the discussion above, which I think is a critical one for our profession. While we are all schooled to be critical of marketing pitches and likely respond negatively to some manufacturers’ overzealousness, there are times when we need to hear what they have to say, such as when consensus standards have been watered down to the point that other manufacturers take advantage of the standards to the detriment of our clients’ interests.