Required precision video and using WEZ

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aschuler

aschuler

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I didn’t derive it, it’s a concept in statistics for adding random variables

Cool, thanks for sharing
 

hereinaz

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+1 I switched to pretty much only shooting from a tripod. I always have it with me hunting here in AZ (see what I did there) and most of the time I'm in rocky, uneven terrain where it just makes sense. Coues hunters if you know, you know.

Love my tripod. I think hunting coues gives an experience and point of view about precision long range hunting that is unique. Especially when you go practice it.
 

Tom-D

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Using a standard 6.5 CM load with 147gr ELD-M at 2,700fps MV, 5,000ft DA, 6” square target, and 1.5mia, 1 MOA, and .5 MOA for all. Again, keep in mind these are 1st first hit probability in an unshot/novel environment and target.


4 mph wind caller.

1.5 MOA is 37.4%-
View attachment 685362



1 MOA is 43.9%-
View attachment 685363


.5 MOA is 47.7%-
View attachment 685366


For a 10% increase in hit rate from realistic mechanical precision of 1.5 MOA to a completely unrealistic .5 MOA.



Now, the same but with a 2 mph wind caller:

1.5 MOA is 57.6% (already 10% higher than the 4mph wind caller with .5 MOA rifle)
View attachment 685368



1 MOA is 71%
View attachment 685369


.5 MOA is 79%View attachment 685370


For a difference of 21% from 1.5 MOA to .5 MOA.

You do see more of a difference when the target is at mid ranges- 300 to 500 yards and smaller than the base cone.

Here’s why. With a 4 mph average wind caller- which you (the colloquial “you”) aren’t in broken terrain unless you are shooting in novel broken terrain a lot- the wind is the largest source of error- not precision.

1.5 MOA causes of horizontal error. The vast majority of error is wind-
View attachment 685376


.5 MOA the vast majority of error is wind-
View attachment 685377




If you want to hit things more often, find what is producing the larger source of error in reality, in the field- and reduce that source.
Thats a great report and unreal data. Definitley brings it more align with my personal situation and its good to see what really matters. Thank you for taking the time to write this up
 

Formidilosus

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Thats a great report and unreal data. Definitley brings it more align with my personal situation and its good to see what really matters. Thank you for taking the time to write this up

No problem.
 

chindits

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Excellent information right before BLM locks up all the access roads for mud season. Definitely makes me question why I’ve been shooting my rifle so much with such low probability first hit rates in novel environments. Perfect excuse to just shoot the bow now instead of burning up all these components. 👍
 

MEdude

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Seems alot easier for me to just say “I don’t understand the basis of statistics.” than to… aah forget it.
I know little, and enjoy learning more. I’ll just stuff a bunt cake in my pie hole, and follow the thread.
Good listen, good read, Tnx
 
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aschuler

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So I got really sick this week and was sitting around not being able to do much. After I got caught up on reloading my thoughts turned back to this thread and the idea behind WEZ. I figured I might learn something by experimenting with my own simulations and a ballistics solver.

A few hours later and I have proof of concept hacked together. It's just doing horizontal dispersion due to wind and rifle precision, but all the foundational stuff is there. It's starting to correlate pretty well with results Form posted in his screenshots, but it's not going to the same as WEZ because I'm using a different solver, probably a different way of sampling the distributions yada yada.

Doing this raised a question. In the WEZ screenshots it *looks* like the wind input is calling for the SD of wind in MPH. From the conversations I was thinking the input was +-MPH as the upper an lower bounds of the wind call. As in "I'll always be within +- 4mph of the actual wind". That's very different from the SD of the wind call being 4mph. In that case the 96% wind call would be 2 SDs or 8mph right? I'm curious if @Formidilosus or one of the WEZ users can educate me on this. Thank you in advance.


I'm not a mathematician, statistician, ballistician or "anything-cian"....I'm just a computer geek that likes to hunt and shoot. But here's a screenshot of my little hacked together simulation. It's an interesting learning experience!

Screenshot 2024-04-05 085401.png
 

solarshooter

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I also don't have WEZ and was also curious about taking my own stab at estimating hit rates. I did this in excel and using Berger's online ballistic calculator for the base trajectory inputs. Basically I have a mean and SD quantified for some of the most common and significant sources of error. Note - this is using my same 284 ballistics and data I have quoted in other threads on this topic.
1712335465033.png

These are user inputs, and should be done to reflect real data gathered on your rifle. I use the mean and sd of shot radius method (again as described in other threads), so I have pretty solid numbers on those, as well as MV. Wind calling is less solid, since it is hard to measure wind, but I arrived at those numbers by saying, on average I call within 2mph, and my worst case call will be within 5mph.

I run two trajectories through Berger's solver, one with baseline inputs and 1mph wind, the other with +1SD of MV. Then I calculate mean, 1sd, 2sd, 3sd, errors in inches for each of the effects above, as a function of range. Wind error per mph is a simple scaling of the Berger outputs for 1mph. Range error per yd is determined by calculating dElevation/dYardage from the baseline trajectory, and scaling that result. Shot radius is a direct angular calculation as a function of range. Same with 0 error and aiming error. MV induced error in inches is calculated using the second trajectory, first by finding dElevation/dVelocity, and then scaling that by MV sd. Here's an example of what it looks like:
1712335875606.png

I calculate the mean, 1SD, 2SD, 3SD contributions of error for each component. Then for totals, I directly sum the means, but RSS the dispersions (aka the 1SD, 2SD, 3SD columns). For example, the 1SD column is mean + RSS(all 1SD dispersions). The answer looks like this:
1712335984174.png

Because I know the mean represents a 50% hit probability, 1SD 66%, 2SD 95%, 3SD 99.7%, I can do some interpolating to figure out what is my needed target size to give a certain hit probability at a certain range. Or said differently, given a certain target size and range, I can estimate my hit probability:
1712336956156.png

Looking at this result, I can compare against some WEZ values @Formidilosus ran for my gun in a different thread. Now a quick tangent on WEZ vs. my calculator. WEZ doesn't have mean inputs, only SD aka dispersions. I think this is valid for most things, but not for rifle precision or wind calling. The center of the wind calling distribution is not necessarily 0. Said differently, on AVERAGE, most people will have some amount of wind calling error. So to do an apples to apples comparison, I run the following:
1712336563090.png

Form's WEZ output:
1712336235903.png
WEZ calculates 58.6% hit probability. I calculate that I have slightly less than 60% chance. Pretty good!

This data is also super informative. Some takeaways:
  • If I want ~100% chance of shooting a deer (12" circle), my max range should be 360yds. On elk (18" circle) this goes to 470yds. This ignores shooter induced errors other than aiming.
  • Hitting at 600yds is twice as hard as hitting at 400. Hitting at 1000yds is 2.5x as hard as 600. Nonlinear error folks!
  • Assuming my system is at least average, MOST people have a <50% chance of hitting a 10" circle at 600yds. This jives with the Cold Bore Challenge results from last year, ~35-40% success rate at 600 if I recall correctly.
I've also been able to mess with various inputs to determine sensitivities to hit rates. Conclusions in this thread are mostly correct, but rifle accuracy sure doesn't hurt! As I've said in other threads, given a "0 sum game" of time, where I have to choose between practicing and developing my rifle system, practicing wind calling and positional shooting is probably the most beneficial use of time. But in my particular situation, I cannot shoot in the mountains at long ranges easily, but I can go to the range and test some different ammo, measure MV, or run the Kraft drill. So my "practice" time is not 1:1 with my development time - I'm going to spend a fixed number of days shooting in the field regardless of if I do some development at the range or not. So I see no harm in it. That being said, "development" has gotten a lot simpler for me as a result of Form's and other's input, and some other studies I've run. See other posts for that.
 

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solarshooter

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Yes, the WEZ inputs are SDs. So if your 95% (roughly 4 sigma) confidence is that you call the wind within +/-4mph, the number that goes into WEZ is 2mph.
I think you're both correct, and I've mentioned this to @Formidilosus in the past. I think his take is that the 4mph SD input is representative of the actual misses people have in the field. Now, I think it's pretty hard to accurately measure misses in the field into dirt, but I get the sentiment that the 4SD number has sort of been "calibrated" to realistic scenario hit rates. That being said, a 4mph SD means that in 20 calls, you will be 8mph off. This is excessive for wind at the shooter IMO. But, maybe it's also incorporating wind changes due to terrain that experienced shooters "bake in" to their overall wind call for the shot. But again, I'm just inferring info from Form here. Personally, I think my worst case wind call at the shooter will be within 5mph, and on average I'm within 2mph. Therefore, mean = 2, sd = 1, mean + 3sigma case aka 99.7% likelihood = 5mph.
 
OP
aschuler

aschuler

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Yes, the WEZ inputs are SDs. So if your 95% (roughly 4 sigma) confidence is that you call the wind within +/-4mph, the number that goes into WEZ is 2mph.
That's what it looked like to me as well, thanks.
 

Macht

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I think you're both correct, and I've mentioned this to @Formidilosus in the past. I think his take is that the 4mph SD input is representative of the actual misses people have in the field. Now, I think it's pretty hard to accurately measure misses in the field into dirt, but I get the sentiment that the 4SD number has sort of been "calibrated" to realistic scenario hit rates. That being said, a 4mph SD means that in 20 calls, you will be 8mph off. This is excessive for wind at the shooter IMO. But, maybe it's also incorporating wind changes due to terrain that experienced shooters "bake in" to their overall wind call for the shot. But again, I'm just inferring info from Form here. Personally, I think my worst case wind call at the shooter will be within 5mph, and on average I'm within 2mph. Therefore, mean = 2, sd = 1, mean + 3sigma case aka 99.7% likelihood = 5mph.
At the most basic level, the math is the math. We don't get to make up a separate definition of what SD is.

In some sense I'm just restating what you said, but my takeaway from what form has written about it is that people are just even worse at judging wind than they think.

Even without taking that into consideration it's a very hard thing to put a number to. Probably the single hardest WEZ input to get even close to right.
 
OP
aschuler

aschuler

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I also don't have WEZ and was also curious about taking my own stab at estimating hit rates. I did this in excel and using Berger's online ballistic calculator for the base trajectory inputs.


Solid work sir! Really nice way to visualize some possible scenarios for your setup.


Now a quick tangent on WEZ vs. my calculator. WEZ doesn't have mean inputs, only SD aka dispersions. I think this is valid for most things, but not for rifle precision or wind calling. The center of the wind calling distribution is not necessarily 0. Said differently, on AVERAGE, most people will have some amount of wind calling error.

I was wondering about this myself. I've kind of gone back and forth with it. I think I've come around to the idea that a normal distribution is still the best fit for this. But I have nothing concrete to back that up.


So to do an apples to apples comparison, I run the following:
View attachment 696958

This is a really good use of this type of exercise. Either to reach a conclusion about what a reasonable distance would be for a target or a reasonable target for the distance.



This data is also super informative. Some takeaways:
  • If I want ~100% chance of shooting a deer (12" circle), my max range should be 360yds. On elk (18" circle) this goes to 470yds. This ignores shooter induced errors other than aiming.
  • Hitting at 600yds is twice as hard as hitting at 400. Hitting at 1000yds is 2.5x as hard as 600. Nonlinear error folks!
  • Assuming my system is at least average, MOST people have a <50% chance of hitting a 10" circle at 600yds. This jives with the Cold Bore Challenge results from last year, ~35-40% success rate at 600 if I recall correctly.

Again, really nice job pulling some concrete conclusions. This is the type of stuff we're going for here. I have to admit at least part of my motivation is to show some of my "less skilled" shooter friends how risky their shots might be and that they might not want to take them :)

I've also been able to mess with various inputs to determine sensitivities to hit rates. Conclusions in this thread are mostly correct, but rifle accuracy sure doesn't hurt! As I've said in other threads, given a "0 sum game" of time, where I have to choose between practicing and developing my rifle system, practicing wind calling and positional shooting is probably the most beneficial use of time. But in my particular situation, I cannot shoot in the mountains at long ranges easily, but I can go to the range and test some different ammo, measure MV, or run the Kraft drill. So my "practice" time is not 1:1 with my development time - I'm going to spend a fixed number of days shooting in the field regardless of if I do some development at the range or not. So I see no harm in it. That being said, "development" has gotten a lot simpler for me as a result of Form's and other's input, and some other studies I've run. See other posts for that.
I'm pretty much in exactly the same boat!
 
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