I'm noticing a fairly major discrepancy between predicted values and real world values shooting at moderate ranges over different days but similar environmentals. Interestingly, these differences hold true over different calibers, rifles, optics, and even shooters, and furthermore show up not only in my older AB mobile but also in two other programs. The average discrepancy is about 2 moa or .5 mil at 500, increasing to 2.5 moa and .6-.7 mil at 600. This correction holds to 700, have not tested beyond that to see if the correction remains constant.
I might add that these are all reliable rifles and scopes, the chronograph values are solid though I have not chronographed at this shooting position. To make the values even close to matching I have to input velocities which I know would be extremely over pressure. Calibers are .308 and .260, and I've shot many thousands of rounds of both, so quite familiar. It is true that these observations are based on shooting steel rather than paper, hence my hedging on the differences, but my conclusion is either I am missing something or the predictive algorithms of multiple programs loose their accuracy in conditions as described above. I'm always flatter than predicted.
I would appreciate any comments and/or similar experiences. am I missing some critical input here or is this an issue with the model? For older shooters like me, it just reinforces the old adage that you have to shoot your dope to be sure, good as ballistics programs are.
I might add that these are all reliable rifles and scopes, the chronograph values are solid though I have not chronographed at this shooting position. To make the values even close to matching I have to input velocities which I know would be extremely over pressure. Calibers are .308 and .260, and I've shot many thousands of rounds of both, so quite familiar. It is true that these observations are based on shooting steel rather than paper, hence my hedging on the differences, but my conclusion is either I am missing something or the predictive algorithms of multiple programs loose their accuracy in conditions as described above. I'm always flatter than predicted.
I would appreciate any comments and/or similar experiences. am I missing some critical input here or is this an issue with the model? For older shooters like me, it just reinforces the old adage that you have to shoot your dope to be sure, good as ballistics programs are.