Trego's Mountain Ear

"Serving North Lincoln County"

Category: Demography

  • Fruit Soup

    For many years, the Census differentiated between Germans and Germans from Russia.  While there were significant historical differences between the two groups, by the time I was doing the demographic work for South Dakota, the largest difference I could see was the menu.  This recipe, for Plumemoos, a fruit soup served cold, is a hot weather dish passed to us from the Germans from Russia.

                Plumemoos

    2 qt      water
    1 c.      sugar
    1 c.      seedless raisins
    1 c.      dried prunes
    1          29-oz can of peaches
    1          cinnamon stick
    1          package red jello
    1 qt.     Purple grape juice

    Cook dried fruit, sugar and cinnamon stick til fruit is tender.  Add jello to hot soup and stir to dissolve – this will color and thicken the soup when it has cooled.   When cooled, add grape juice to taste.  Serve cold – a wonderful, soothing soup for a hot summer day.

  • What is a Farm

    What is a Farm

    A dozen years ago, I wrote “What is a Farm” and now I have one.

    The bottom line that defines a farm is production.  “The current definition, first used for the 1974 census, is any place from which $1,000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year. (1992 Census of Agriculture).”  It’s kind of fun to be able to quote myself, and find that the commentary is still accurate 12 years later.

    This July, I harvested 275 little round bales of grass hay, and stored them in the log shed.  I figure if I sell them at $4 each, the place makes the minimum to be a farm.  Logically, that makes me a farmer, for the first time in my life.  I remember seeing a neighbor in Ag Hall when I worked for Extension – and commenting to Todd that he was the first farmer I had seen in that building . . . to be fair, I hadn’t worked in Ag Hall all that long.  Now that I’m a farmer I do have to sell those cute little bales to actually qualify.

    Since I’ve already done the research, I can help others determine if they also qualify: “The definition also makes it easy to be a “small farmer”: if a family has a couple dozen hens and eats organic eggs from its own free-range chickens, the family probably produces enough to be living on a farm. Similarly, a two-Holstein-steer feedlot with all purchased feed can meet the definition of a farm. Obviously, a large hog confinement facility is a farm, even if it lacks plows and fields.” 

    This table shows how the government’s definition of a farm has changed over time:

  • Alumni Magazines

    As a young man, MSU’s alumni magazine occasionally brought information about classmates, but was by and large an irrelevant publication.  Adding a couple more degrees brought more alumni magazines – and the deaths column became something I watch more.  Not sure why – perhaps to make sure I’m not there.

    Today, STATE listed Jeeta Kant and Bob Mendelsohn.  I met Jeeta when she was unable to get into the sociology Master’s program, and couldn’t understand why her 35 year-old bachelors in Soc didn’t punch all the buttons – she had good grades, but lacked the research.  A colleague in geography looked at the books she had done on Hutterite colonies, and in 2008 she completed her MS in geography on the topic.  After that, she worked on a research project in the civil engineering department, on edible and usable plants on the Pine Ridge, completing her Ph.D. in 2013, at the age of 66.  She spent a few years as a postdoc researcher before retiring.  Jeeta didn’t have a conventional academic career, but she did show that age isn’t an insurmountable handicap, and combining a research career with social security isn’t impossible.  

    Bob Mendelsohn’s specialty was deviance – and it always struck me as a bit strange that our deviance prof was the closest to the norm.  I mean, the guy was married to his high school girlfriend, from 1967 until he went away this May.  He retired in 2008, and spent several hours telling me of his return to studying his Judaism.  He was challenged by the thought of giving up deli ham sandwiches – hopefully keeping kosher came easier as he moved to the east coast.  I’ll remember a Jewish researcher who loved the green and red decorations, and the music of Christmas.  Totally different upbringings – but a good friend who left the world a better place for having been here.

  • IQ Testing Government Officials

    Donald Trump described himself as a “stable genius.”  Joe Biden challenged another old man to an IQ test competition.  These are things that never happened with George Bush, and I scoured the internet for reliable IQ numbers on politicians.  I learned that a US government official IQ tested a group of German military and political leaders.  So near as I can tell, the only data available on the intelligence of government officials came from the Nuremberg trials after World War II.  An American psychologist, Gustave Gilbert tested the 21 former Nazi officials with an early Wechsler IQ test, with the following results:

    Position HeldIQ
    Schacht, HjalmarMinister of Economics143
    Seyss-Inquart, Arthur Reichkommisar of Netherlands141
    Dönitz, KarlAdmiral138
    Göring, HermannChancellor138
    Papen, Franz vonChancellor134
    Raeder, ErichGrand Admiral134
    Frank, HansGovernor of Poland130
    Fritzsche, HansDirector of Propaganda130
    Schirach, Baldur vonHitler Youth Leader130
    Keitel, WilhelmField Marshall129
    Ribbentrop, Joachim vonMinister of Foreign Affairs129
    Speer, AlbertMinister of Armaments128
    Rosenberg, AlfredMinister of Occupied Territories 127
    Jodl, AlfredColonel General127
    Neurath, Konstantin vonMinister Foreign Affairs125
    Frick, WilhelmMinister of Interior124
    Funk, WaltherEconomics Minister124
    Hess, RudolfDeputy Fuhrer (until 1941)120
    Sauckel, FritzHead Labor Deployment118
    Kaltenbrunner, ErnstSS, Head of Security113
    Streicher, JuliusNewspaper Publisher106

    All were above average – most, excepting the publisher of the party newspaper and the head of security (Streicher and Kaltenbrunner) above the “normal range” of intelligence.  The only thing I can generalize from the sample is that you don’t have to be dumb to be a nazi, and that isn’t a conclusion I like.

    There’s a chart at IQ Comparison that shows the probability of each score.  For example, Julius Streicher, with an IQ of 106, almost made it into the top third of the population.  Kaltenbrunner, at 113, scored in the top fifth.  Hermann Goring, at 138, was statistically the sharpest knife in a drawer with 177 others.  Hjalmar Schacht, with an IQ of 143 was one out of 278 . . . and he was acquitted of all charges at Nuremberg. 

    There is a clickbait series on US presidential IQ scores – complete to two decimal points, and it looks unreliable to me – so this seems to be the best available data.  I suspect we could develop some pretty good estimates on recent presidents, if we had their ASVAB or college placement scores – but most of our presidents preceded IQ tests.  In 1916, Terman set the minimum standard for genius at 140 . . . so Trump may well have scored above that – basically, the probability in the general population is 1 in 261.  Biden probably did have a better than 50-50 chance of beating a random 83-year-old in an IQ test.  I’ve seen Einstein listed at 160 – a one in 31,560 probability.

    In a nation of 330 million, we have about as many smart people as dumb ones – and, if we extrapolate from the Nurenberg IQ tests, we have some equally bright people in politics, and bright politicians can do some really dumb things.

  • An IQ Too Low for the Military

    Jordan Peterson has a brief video on youtube describing the IQ cutoff the US military uses in recruitment. (Jordan Peterson | The Most Terrifying IQ Statistic)  He explains that the army doesn’t recruit for people who score below 83 because they can’t be trained. 

    I think he has simplified the explanation – the ASVAB is the military test.  While it is not technically an IQ test, it correlates closely.  I’m not about to fact-check Jordan Peterson on a technicality.  He explains that 10% of the population have an IQ below 83, and the chart shows that 11.5% of the population score 82 or below.  Definitely close enough for a short lecture.

    I think back among my students, and recall asking the slowest veteran I ever had in a class what he did in the army.  He replied he had been a gama goat driver.  The photo suggests that he probably had skills that would transfer to operating a rubber tired skidder – but probably lacked the forest experience.  My experience tells me that he would have been a good, reliable tail chainman on a survey party – but even at that time, electronic measuring devices were replacing the chains.

    All told, I think I understand why Jordan Peterson called it “The most terrifying IQ statistic.”  If he was close to correct – and I suspect he was – we’re looking at somewhere around one person in nine that can’t be trained to perform a minimum military job adequately.  I suspect the civilian world isn’t any more merciful.  Years ago, I had the privilege of knowing Doug.  The army had released him because of a low score – whether IQ or ASVAB makes no difference.  He was in his fifties, and remembered vividly the date when he learned he wasn’t good enough.  He made a living as a ranch hand, mostly working cattle, haying and fixing or building fences . . . he was conscientious and reliable at handloading ammunition, and a cautious, safe driver.  As I watched Peterson’s video, I realized how few jobs there are for folks like Doug.   There was a place for Doug in north central Montana, but few areas have that opportunity.  Doug couldn’t have made it in the urban technical world.   Anything that finds one person in nine untrainable is a terrifying statistic. 

  • Non-reproducible research

    About 20 years ago, I realized that I had a fairly unique opportunity to test the hypothesis that 4-H was strongest where it was multigenerational – 4-H members grew up to be 4-H leaders, and the program was strongest where the multi-generational membership was the most common. 

    I was working with 22 counties, and 4 of them had Extension secretaries with 30 or more years of experience, and full records.  Complete records is more challenging than you might think – when I worked as a County Agent, the records were in the basement, and a cracked sewer line helped me make the decision that they couldn’t be recovered.  Obviously, if I had only 4 counties out of 22, reproducing the research would be difficult at best.  On the other hand, if it didn’t get done in the next year, retirements would make it impossible to do once. 

    In 1950, 18% of rural youth belonged to 4-H, with the membership plateau ending in 1976 (Putnam 2000, Bowling Alone), with a 26% decline in membership between 1950 and 1997.  And I was listening to folks who told me that the problem was a shortage of volunteer leaders.  It looked like I could find the numbers in those 4 counties with the oldest secretaries. 

    I was on a roll – the secretaries showed that 151 4-H families had at least one parent who had been a 4-H member as a child, 78 families where neither parent had been a member, and the parents of 6 families could not be determined.  We defined 4-H members who had belonged to a club four years or more as persistent, and contrasted their statistics with first-year members.  None of the six families whose 4-H history couldn’t be determined had any persistent members, so the sample, while not particularly large, was clean.

    Well, the stats were simple – Chi square was calculated at 45.03, the probability of the distribution occurring by chance was less than 0.001.  The data supported the hypothesis that parental involvement in 4-H (as a club member) is the greatest single predictor of member persistence in 4-H.  Two thirds of the persistent members (4 years or more) had parents who had been 4-H members in their youth, while two thirds of the first-year members had parents who had not been 4-H members.   The kids most likely to drop 4-H were kids whose parents had not been in 4-H and were not 4-H club leaders. 

    The evidence was pretty solid that a multigenerational 4-H identity helped keep kids in 4-H – but it was equally solid that 4-H membership wasn’t random . . . it was hereditary, like the British nobility.    Still, making a conclusion about a national program from a sample of 334 people in 4 counties seems to be a stretch.  As I look at the Harry that was once an English prince, I wonder about researching the worldwide decline of royalty.

    Non-reproducible research isn’t necessarily bad research, and it can provide some interesting conclusions – but it is better when you know it’s non-reproducible from the beginning.