September 28, 2023

Once Again Caught Fudging Climate Data

Alarmist scientists have been caught red-handed tampering with raw data in order to exaggerate sea level rise.

The raw (unadjusted) data from three Indian Ocean gauges – Aden, Karachi and Mumbai – showed that local sea level trends in the last 140 years had been very gently rising, neutral or negative (ie sea levels had fallen).

But after the evidence had been adjusted by tidal records gatekeepers at the global databank Permanent Service for Mean Sea Level (PSMSL) it suddenly showed a sharp and dramatic rise.

The whistle was blown by two Australian scientists Dr. Albert Parker and Dr. Clifford Ollier in a paper for Earth Systems and Environment.<<<Read More>>>


One Bear, Two Bears, Three Bears, Four

The Maine Department of Inland Fisheries and Wildlife has yet to publish black bear harvest data on their website. So far, this is the second longest it has taken the Department to count bears. How long does it take to count bears? Oh, yeah! It’s the teeth that slows them down. RIGHT!


QDMA Whitetail Deer Report for 2016

Below is the link to the 2016 Quality Deer Management Association Report on whitetail deer. Bear in mind a couple of things. One, I am not a very big fan of QDMA for various reasons. One reason is because I believe they put too much focus on “trophy” hunting and manipulating the resource towards that end. Another issue to consider, should you choose to review this report, is that it is a great example of the saying, “Statistic prove that statistics can prove anything.” While QDMA is presenting information about declines and increases in yearling buck harvest and/or buck harvest in general, as well as antlerless deer, it offers no explanations of why. It’s one thing to report declines or increases in yearling buck harvest, for example, even to go to the point of suggesting trends, but to make specific claims requires much greater knowledge and information about all aspects that effect deer management and hunting harvests.

One might suspect that with QDMA’s insistent pushing for antler point restrictions (for trophy hunting purposes), it would seem logical that the buck harvest might decrease when such restrictions are put in place. The same kind of unknown comparison can be applied to reports in changes of antlerless deer. In states, like Maine, that use “Any-Deer Permits” to regulate the populations of deer, significant changes in the allotment of such permits, as has been the case in recent years, obviously affects the harvest data.

That isn’t to say the report is worthless. It contains interesting data and if taken in its context and applied subjectively and honestly, within the smallest denominator of available data in each state, one might find some interesting comparatives, assuming most things remain consistent…and they don’t.

QDMA’s Whitetail Report 2016


Deer-Car Collisions Ranked By State | Hunting, Fishing and Shooting News on Grand View Outdoors

*Editor’s Note* – Without having the algorithm State Farm used to make their determination, it’s impossible to make any sense out of the chart that is provide, except that states have different odds for running into a deer. What that is based on certainly is not just simply number of deer and number of drivers.

A driver had a 1 in 169 chance of striking a deer last year, according to State Farm, the nation’s largest car insurance company. In 11 states, the odds were better than 1 in 100.Below is a projection of deer collisions by state for the year ending June 30, 2014 — the last year the data was available for at press time — estimated by State Farm, and a ranking of odds that considers the number of licensed drivers in each state. In addition to the accompanying chart, you can find an interactive map here.

Source: Deer-Car Collisions Ranked By State | Hunting, Fishing and Shooting News on Grand View Outdoors


ANALYSIS/COMMENTARY: Cost of wolves calculable

The above data is not meant to reflect $39,600 for every 100 cows in each county, as the wolf density presently varies by area; however the potential exists if wolf numbers ever approach the density of the forested populations in Idaho, Montana and Wyoming. Presently almost all of the forested range area in Wallowa and Union counties have identified packs. Harassment and depredation are greatest in the portions of Wallowa County nearest the Idaho border. Umatilla and Baker counties both have packs and two more known packs exist, one in the Desolation area and one in SW Oregon.

Source: ANALYSIS/COMMENTARY: Cost of wolves calculable – Editorials – Wallowa County Chieftain


How deadly moose really are in Maine, in 4 charts

But the truth is that you’re more likely to die in a car crash by veering outside the yellow or white lines than by hitting a moose. Only about one person per year dies in a moose crash, while 108 die in what the Maine Department of Transportation describes as “lane departures.” That’s when a vehicle crashes head-on with another or goes off the road. In total, about 150 people each year die in all car crashes.

Source: How deadly moose really are in Maine, in 4 charts | ThinkMaine


Concealed Carry Permit Holders Across the United States by John R. Lott, John E Whitley, Rebekah C. Riley :: SSRN

Since President Obama’s election the number of concealed handgun permits has soared, growing from 4.6 million in 2007 to over 12.8 million this year. Among the

Source: Concealed Carry Permit Holders Across the United States by John R. Lott, John E Whitley, Rebekah C. Riley :: SSRN


Percentage of Maine’s “Big Bucks” Continues to Decline

Below is s copy of a chart that is created each year by a good friend of mine. Since 1999 it shows the annual deer harvest, as provided by the Maine Department of Inland Fisheries and Wildlife. The chart makes several comparisons, as you can see.

Once the deer harvest numbers are official, this chart compares the current harvest numbers with past years’ as a percentage of the deer harvest in 1999. The number of “Big Bucks” harvested and reported (200 lb. minimum), as obtained from the Maine Sportsman Magazine, is shown. From there, several comparisons by percentage are shown. These comparisons are based on the 2000 numbers as they are the highest reported during this 15-years span.

As you should be able to tell, the percentage of Big Bucks harvested, compared to the total deer harvest, since 2000, has been mostly on a steady decline. Obviously with a reduced harvest one would expect the total number of Big Bucks to also be reduced. But what is troubling is that the decline of Big Bucks is not proportional to the overall harvest.

But what does that tell us? The obvious would be to state that there appears to be an age structure shift in Maine’s deer herd. And what causes a change in age could be one of several things and/or a combination of them. Without all the data, my ideas would be nothing but guesses. It could be nothing more than a corrective shift downward in age to bring the herd in line with management goals, or it could be at the other end where there are just too many Big Bucks that have been and repeatedly get taken each year…but I doubt that. It is possible that in addition to a reduced overall deer population in Maine, there’s also been a loss in natural foods and nutrients that cause deer to grow large in body mass. Or, the Big Bucks are being harassed by predators prohibiting normal weight gain.

But here’s a question and something to think about. One might wonder if it is a natural phenomenon that during a period when a deer herd is shrinking, the percentage of Big Bucks would not necessarily mirror that of the overall herd? If that were true, then can we surmise that as the herd grows in numbers, the percentage of Big Bucks increases as well? My pea brain logic would tell me the exact opposite. But hell, what do I know?


Note: On the above chart please notice that the deer harvest for 2014 is an estimate. When the official number is made available, hopefully this year, I’ll post the correction.


Australian Government Manipulating Temperatures to Fit Warming Narrative

The following link takes you to some very interesting information as to how the Australian Government deliberately manipulated and increased temperatures in order to promote and fit into the narrative of a warming climate….due of course to the presence of man. Tons of information available.<<<Discover More>>>


Maine’s Number One Game Animal Getting No Attention

Below is a graphic that shows the length of time it has taken the Maine Department of Inland Fisheries and Wildlife (MDIFW) to release deer harvest data to the public over the past nine years. This includes this year, of which the harvest data has not been released as of this posting. The graphic was put together by a reader.

Many states that have deer and other game animal harvests, provide the public with harvest data, even more complex and containing more and better information in a matter of hours or days from the close of each season. Maine appears to be the slowest of them all.

For some it’s just the number of deer taken that they are interested in. Maine sportsmen don’t even get that in a timely manner. Spring and summer fishing is well underway, with the least of thoughts about the last deer hunting season. Maybe that’s the reason it takes approaching 6 months to get the data. Out of sight and out of mind?

For others, myself included, I like to examine all the data. As a matter of fact, I would like all the data collected on deer and used to calculate population estimates and how many, if any, permits will be issued. For those of us interested in better understanding of what is going on with deer management, things like pre harvest and post harvest information would be helpful. In addition, fawn recruitment rates, age structure, etc.

This year, as of today, sportsmen have been waiting 152 days for deer harvest data. That’s the longest time in the past nine years. The average over the previous 8 years has been 99.75 days. That in and of itself is abysmal, but why 152 days.

In George Smith’s article today in the Bangor Daily News, he says, “The sad fact is that the agency doesn’t know how many deer died this past winter, or how many deer we have in the state. Maine’s #1 game animal isn’t getting the attention and research needed to assure good decisions on harvest, habitat, and other critical issues. The Maine Game Plan for Deer has fallen far short of its goals.”

And maybe this dragging of the feet, while butterflies are counted, is a substantiation of Smith’s frustrated concern. In a state were once simple deer tagging numbers were readily published in the newspapers only hours after a busy hunting weekend, the Maine deer hunter has to wait 152 days…..and counting. I guess this is progress? In a day and age where information is instantaneous, 152 days to wait for deer harvest data? If I did my job that lousy, I would have been fired and would be some surprised if I hadn’t been. And I guess that’s progress too!

The person who developed this graphic used the start date for counting each year as December 15th. The muzzleloader season may end a few days before that. He included weekends and holidays. He used today’s date for the 2013 calculation but the report is not done, so it will likely be greater than 152 days. He used this calculator to do the dates. The dates on the online screens vary by location. If they did not have it proudly displayed he used the document date tag on the webpage.