Colorado sheep, goat & moose....

How does CO distribute NR tags? Is there a specific pool set aside for NR's or is it just up to a certain percentage with none "guaranteed"?
Specific to NR sheep, moose, and goat, there are specific set-aside licenses that are not to exceed 10% of the total.
 
If trends hold (~72% of applicants continue from 0->3 - in, admittedly, a very small sample size) - we should expect ~3000 Resident 3+0 applicants in 2021.
Bored @ a hotel and finally did some digging on the '21 Sheep apps. My guess above was wrong by a large %

- 3636 Resident Sheep Apps at 3+0 this year (including youth, not including Ewe tags). Yeesh.
- 1405 3+0 that actually applied for a hunt (38%)
- Overall - only 53% of 3+0 or higher R point holders applied for a Ram hunt code, the rest were PP only

I'm working on looking at distribution of tags across the bonus point scale as part of an ongoing argument with a friend that doesn't believe weighted points influence your odds at all (he will fully admit to not being a math guy past like 8th grade level, so it's a long argument). But some interesting preliminaries (the data is heavily influenced by the less-popular units, though, so it would take a sharper mind than mine to really dissect the data):

e.g. - In a totally random draw, 3+X point group should have drawn Y ram tags based on total ram tags/applicant numbers per point group across
all the S-M-xxx-xx-x hunt codes.

3+0: Expected = 37, Reality = 9
3+7: Expected = 10, Reality = 10
3+14: Expected = 5, Reality = 14
3+20: Expected = 3, Reality = 8
 
I’m not going to check your math, but I looked at the 3+0 group the day the stats came out and thought 12 drew ram tags (and 35 ewe tags).
 
Check post #79

 
Bored @ a hotel and finally did some digging on the '21 Sheep apps. My guess above was wrong by a large %

- 3636 Resident Sheep Apps at 3+0 this year (including youth, not including Ewe tags). Yeesh.
- 1405 3+0 that actually applied for a hunt (38%)
- Overall - only 53% of 3+0 or higher R point holders applied for a Ram hunt code, the rest were PP only

I'm working on looking at distribution of tags across the bonus point scale as part of an ongoing argument with a friend that doesn't believe weighted points influence your odds at all (he will fully admit to not being a math guy past like 8th grade level, so it's a long argument). But some interesting preliminaries (the data is heavily influenced by the less-popular units, though, so it would take a sharper mind than mine to really dissect the data):

e.g. - In a totally random draw, 3+X point group should have drawn Y ram tags based on total ram tags/applicant numbers per point group across
all the S-M-xxx-xx-x hunt codes.

3+0: Expected = 37, Reality = 9
3+7: Expected = 10, Reality = 10
3+14: Expected = 5, Reality = 14
3+20: Expected = 3, Reality = 8
When I read through how bonus points worked in CO my take away was that they were waaaay better than squared points.
 
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I am curious how the NR cow moose is going to play out. I’m banking on 3-0+ folks still not wanting to pay that much for a cow tag and continuing to roll the dice on a bill tag.
 
I am curious how the NR cow moose is going to play out. I’m banking on 3-0+ folks still not wanting to pay that much for a cow tag and continuing to roll the dice on a bill tag.
Yeah I think the odds will be good.

If I’m being honest Ewe/Nanny/Cow tags for NR give me pause.

I’m not sure I think there should be any NR quota for those tags. Moving out of CO I am realizing that my odds might actually improve, as those are the tags I generally apply for... I’m not sure how I feel about that.
 
I'm working on looking at distribution of tags across the bonus point scale as part of an ongoing argument with a friend that doesn't believe weighted points influence your odds at all (he will fully admit to not being a math guy past like 8th grade level, so it's a long argument). But some interesting preliminaries (the data is heavily influenced by the less-popular units, though, so it would take a sharper mind than mine to really dissect the data):

e.g. - In a totally random draw, 3+X point group should have drawn Y ram tags based on total ram tags/applicant numbers per point group across
all the S-M-xxx-xx-x hunt codes.

3+0: Expected = 37, Reality = 9
3+7: Expected = 10, Reality = 10
3+14: Expected = 5, Reality = 14
3+20: Expected = 3, Reality = 8
The attached 2019 article from toprut is something to share with your friend. Even if he’s not a numbers nerd, the graphs in the article tell a pretty compelling story.

 
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The attached 2019 article from toprut is something to share with your friend. Even if he’s not a numbers nerd, the graphs in the article tell a pretty compelling story.

This is more or less what I arrived at...
1619706383817.png
It’s definitely worth it to buy point to increase your odds in CO.
 
I’m not going to check your math, but I looked at the 3+0 group the day the stats came out and thought 12 drew ram tags (and 35 ewe tags).
Well, someone should have checked my math ;)

I just looked at the raw data again and I'd missed the Resident youth 'tags drawn' column (3+0 Youth drew 3 tags in that range). Need to check the other point levels now, too.
 
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question for sheep hunters in the U.S.

Is the desire to hunt Dall or Stone --a desire to get all four N.A. sheep breeds or ? ?

The Big Horn is a very enjoyable hunt, they are larger animals, with great horns, eclipsing the others in everything except taste

And they are approximately the same price ; 2024 prices are between 50,000 and 60,000 --take you pick. Stone, Dall, Bighorrn

The Bighorn hunts wont give you the option of Grizzly. But all three will let you include Wolf

Probably not the right thread to ask, but other threads mention the desire to hunt the Dall and Stone, but not the Big Horn ?

Just Curious, thanks


For many, it's the accomplishment of taking all 4 NA species. For me, thinhorn sheep are exotic and beautiful, and many of the places they are found are among the most rugged and remote in NA. For me, it's the adventure and experience the opportunity would provide.
 
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