Remote camera

It's O-D-O-O dot com.

All righty guys, welcome back to our trail camera mini series.

And today we are going to be talking all about digging into the data.

And we're talking current data, historical data.

Lopi, we're talking about don't take your trail cameras for face value.

get into the data behind them all all the pictures to help you eventually hopefully kill some more mature bucks

yeah i mean this is why one of the main reasons why i run trail cameras is for the historical data and the inventory of you know if you're if you're after a buck that you know last year you had on maybe you didn't connect with him uh maybe you passed him whatever it may be save all those pictures like for me i create albums every year i don't just create like a let's call it my home farm.

You know, it wouldn't be just my home farm.

Correct.

And he said, go ahead and put some trail cameras up there and, you know, we'll see what comes back to it.

They

set these cameras thinking, this thing is long gone.

So that was all seven months ago when they found these kittens.

What did Tom Gable and the folks at the Warriors Wolf Project do next? So they had about

350 trail cameras and this big web just set up in northern Minnesota.

And talking to the DNR, they got help setting another 100 trail cameras out.

the crappy parts of ohio and then been through the heyday and you know riding the wave so to speak but um he's always told me the same thing like big bucks don't like to make a lot of sign in the bedroom now i've found where big bucks have done exactly the opposite they have like you know willows or autumn olive or whatever close to them and they're just ripping the shit out of it but for the most part the big deer that we find we're not finding a lot of that sign that would grab your attention and say oh my god there's a giant here which is very interesting to me because it's almost you know that could go into the age class structure as well as far as Is this an old bull, young bull scenario? Could we possibly have more old deer, you know, a better age class structure now that we have all these cell cams running and people are chasing deer? I was

just going to say, I know, I was just going to bring that up, that I think today the advent of trail cameras, you know, it used to be, i could afford you know today we can afford and and a lot of us have you know a duffel bag full of cameras you know i i would actually have to sit down and think and and count but i know i have a dozen at least a dozen trail cameras um they're not all cell cams you know a lot of them are your standard pool uh but this still gives me intel and a buck um i usually have you know you're talking about splinter with his hit list i usually have there are some years where i just say that's it he's the one

yeah

um and i'm passing unless it's a you know a mega giant that i have no intel on but i'm passing all these other bucks for that one i very rarely do that uh But as I have had success and as I have put anglers on the wall, I have become more selective.

And a big part of that is those trail cameras.

When you get the picture of that stud, know without having to put eyes on him you know in your early season scouting or while you're hunting you know happen to catch him walk by um you you don't really don't know he's there and so a lot of three-year-olds would get shot because man that's a gorgeous 10 pointer happens to be a three-year-old scores about 130 and you know they get whacked because that's that's probably gonna be the biggest deer it's around here and you don't know but now yeah that we talk about age structure it's not as if these areas where I'm seeing these the shift of scrapes over rubs and all these scrapes it's not as if the majority of the bucks are big mature bucks there are still some scrubs walking around some youngsters

oh yeah

You come off the river, it's less bluffy, and now it's more like rolling hills, but a lot of fluctuation and topography.

And the way that that all lays out and, you know, how they have 40s and 80s and everything kind of stacked together, it really hunts more like... four different properties you know there's kind of like a main there's like two main valleys on the south end of the farm and a main valley on the north end of the farm kind of two but they connect and a lot of it's like the same deer movement and then on the east side of the farm kind of hit the corner of another valley so what i've seen over the years you know and going back to My days working in the trail camera industry, testing, prototyping, designing trail cameras, I had access to a lot of cameras.

So at one point in time, I was running like hundreds of cameras across this farm.

And what I've found was for the most part, you have... you know, a group of deer bucks that kind of stay in this area and stay in this area.

A lot of times there's not even time and data on it.

Screenshot.

you know so they would have problems with the camera i say hey can you send me some pictures from that camera so i can look at the metadata uh no i don't save the picture like what are you talking you don't save your pictures like you know and that's this time of year especially is the most important time of the year to be able to go back and look at historic data because these deer are so predictable right right but as far as the trail cameras go i'm running right now i'm running I've got nine cameras out, nine cell cameras out, three different manufacturers, six different models.

So...

Still waiting in line? again that's time you'll never get back save time and money with stamps.com over 4 million businesses have skipped the line with stamps.com join them to save up to 90 off carrier rates from your computer or phone right now print postage for certified mail registered mail and packages in seconds then schedule a pickup right from your home or office for a limited time go to stamps.com and use code podcast for a free welcome gift taxes and fees apply

all right what's up everybody welcome back to episode two of our trail camera mini series brought to you by reveal by tacticam and lopey last week we talked all about mock scrapes scrapes how to use trail cameras in accordance with scrapes and everything we talked about last week if you listened or if you didn't listen go listen to it and then come back but everything we talked about rings true still because now we're talking the 19th to the 26th we are on the precipice of the pre-rut i always think of the pre-rut as kind of being that October 22nd, 23rd timeframe to about November one slash two, depending where you're at.

Um, and what we want to talk about today is trail camera overload and not letting them dictate everything that you do because trail cameras need to be a tool Lopey.

They can't be your complete deciding factor on everything that you do hunting wise.

Yeah, we all feel guilty to this too.

Collectively yeah or October whatever you got to pick your poison But yeah, I mean when you You know if you're just relying on cameras it can do you a huge disservice because you're always playing that catch-up game whether it's you know a buck hits a scrape and The night before and you go hunt that scrape the next day.

Well now that buck is on a scrape 200 yards away from you.

Now you're gonna go hunt that scrape tomorrow Well, now you're just kind of always playing this catch and you're playing catmouse, but you're losing and um you're just one step behind you're all yeah exactly and and i've done this i mean even you know it's two years ago three years ago i was doing this during the rut where it was just bouncing all over the place hoping that uh i would catch this deer and i never did because i was always using my tactics based off my trail camera so And for example, like I would go, I'd have a buck on camera there the night before I'm hunting there tomorrow.

Okay.

Do you, do you have any other, uh, trail cameras in the woods take like giving you any information?

Yeah, I have other trail cameras.

So that one specifically is on the far north end.

And then every other camera I have is to the south of it.