What Chronographs are Actually Good For
Chronographs can be useful – just not for predicting accuracy.
The are excellent for:
• establishing a rifle’s MV
• tracking MV with temperature (warmer temps = faster MV; cooler temps = slower MV)
• detecting rounds with unusual MV behaviour
• monitoring MV consistency
A chronograph is like a thermometer. It tells you when something is normal or not – but it cannot tell you how well a lot will shoot. It tells you whether you’re hot or not. It doesn’t tell you why.
Great research and data gathering! I agree with virtually everything you say. Your data speaks for itself. However, it will take some time to digest all your assumptions.
The way I look at ES’s and SD’s…
MV analysis including ES’s and SD’s are only one (of many) possible predictors of precision. As you found, they are probably not statistically significant enough to make predictions of ultimate precision within your test parameters.
ES’s are more statistically dependent on number of shots (data set size). Hypotheticallly, the more shots you fire, the higher probability that ES’s will increase.
After a point, SD’s will not vary a remarkable amount with data set size. Hypothetically, they will normalize and stay that way (with minor variation) after a point and shouldn’t change considerably with data set size.
I would eliminate ES’s as an analyzed factor unless all datasets were roughly the same size.
SD’s and ES’s are only one component of a predictor of rifle accuracy that cumulates to describe many of the effects of internal ballistics. External ballistics are a whole other ballgame. Both these two, In & Ex ballistics, should ultimately correlate to a predictor of precision.
Regarding a rimfire and 100yds accuracy tests, wouldn’t shooting at closer ranges (50 yds and less) eliminate some other factors or variability? In my opinion average MV and ES’s may be a decent predictor of vertical dispersion in long range centerfire precision. Clearly, shooting at .22LR at 100yd, and using velocity data is not a good predictor of vertical dispersion or precision. There are just too many other variables which start to play dominant roles.
Looking at bare data is always challenging. I would like to see the data run through a statistical calculator (I used Minitab in my profession life). It might give you some unseen correlations. A multi-variant analysis, and the null hypothesis to determine statistically significant factors, for example, might be useful to see the effects of the more controllable and measurable variables.
Specifically, I would like to run the data which shows lots ranked by ES/SD and the second graph of Target Performance by lot. If one was to use only Lot M715 (best ES/SD and best accuracy) and Lot M344 (worst ES/SD and worst accuracy) there would be a correlation between ES/SD and accuracy. But to run all the data might show you what fits and what are the outliers. Then by using other data collected (such as weather variables or your insight), you might actually discover additional drivers of accuracy. In my opinion, it would be a useful exercise for someone who is interested into a “deeper dive’” in the data.
The shooter’s consistency is a significant variable in determining precision. That is why we have competitions. Environmental factors are another.
Although it’s not possible, I would like to see similar data to that which you collected, but shot using a test set-up similar to the Lapua’s test center. It is shot indoors (with controlled, consistent environment conditions and no wind) at reasonably close range, using an action attached to a fixed sled type device. This eliminates some of the shooter variation and external ballistics effects. I would then like to run the data through statistical software.
If you eliminate the external ballistics effects and shooter variability, MV characteristics might start to be a better indicator of ultimate ammo precision. In my opinion, it is not everything, but it might be something.