Here are just a couple of "professionally" produced bow reports:

http://www.marksoutdoors.com/PDFfiles/MatthewsDrenalin.pdf
http://www.alpinearchery.com/downloads/Alpine_Bow_Report.pdf

I found them with a quick internet search. Bowhunter mag publishes one every month. Go to the newstand and pick one up. Theiy are all more extensive and more accurate testing than anyone here is capable of and they present the kind of data you guys are talking about generating yourself. Try other archery literature too. Go to the library. Anywhere ke and efficiency vs arrow mass data is published and take a look at that too.

Perhaps one of you geniuses can explain why none of these reports support the idea being perpetuated here that there is a point of maximum ke or if you will maximum efficiency and then as you increase the arrow weight it falls off. Please explain whythere is not one single instance where the arrow mass was increased and ke and/or efficiency went down. Why do all the ke and efficiency vs arrow mass graphs show an ever increasing function? And how will you all explain away the bow efficiency equation, I posted earlier, developed, not by me, but by the experts in field that shows quite clearly that ke and efficiency is an increasing function of arrow mass.

Art says go find the point where ke falls back. Well the professional engineers and technicians who produce these reports (and there are hundreds of reports like these) don't find that point. In every single test they report ever increasing ke and efficiency as the mass of the arrow is increased. Every one.

I guess none of these professionals know anything and I should justaccept theamateurish results and analysis I've seen here. Well I'm sorry but that proposition just makes me laugh.

the heavier the arrow then the more energy efficient the bow becomes

That's not my opinion it's along established principle of archery mechanics andthe few internet
nobodies here who say it's not true are just wrong. I will say though, it's kind of amusing to read the lame reasons why they think it's not true.