Tag Archives: change

The hard scrabble dictionary

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The rules or Scrabble are unchanging and always changing. The general rule is that Scrabble allows the use of every common word in the English language. In practice, there are two or more dictionaries of words. One of these has virtually no abbreviations, only a few foreign-derived words, and only a select few offensive terms. It is this one, “The Official Scrabble Players Dictionary,” that determines play. You’ll need the other dictionary to look up swear words or secondary meanings, or find common abbreviations.

Words get removed from the scrabble dictionary when someone -- anyone might find them offensive.

Words get removed from the scrabble dictionary when someone — anyone might find them offensive.

Both of these dictionaries change on a regular basis, by the way. And this is as it should be, and both exist in both English and American versions. The common dictionary adds words slowly, as they come into use and drops them slowly as they fall out. The Scrabble dictionary changes fast and for no obvious reason, adding and removing words for political and social aspect and for improved playability (whatever that is). Thus there is little rhyme or reason to the additions or deletions. Four years ago some ten 4000 words were added, mostly unusual words, and many insult words were removed. When the dictionary was changed again in September of this year, players are not told of some changes, but for the most part, there no obvious way to guess. Several words that were offensive in the last version, now are not. Other words that were OK then are now removed as offensive. You’ll play a word you’ve used for years and be told that it is no longer valid. Or someone will use a word you’ve never seen, and never will see otherwise, and you’ll find it is valid. Words added this year include: OK (previously an abbreviation), zen (previously a foreign word), and sheeple (previously a portmanteau, non-word). Also, I’m happy to say, fuck (a welcome addition). I looked up a bunch of previously removed insult words, and find that goy and spic are back, but i find that negro is not.  There is no list in print that tells you what’s been added, and that’s not right. Some articles have a few examples of new words, and some claim to have a list, but clearly it’s only a small fraction of the real list. There is nothing like a full addition list that I could find.

I’ve a bigger gripe though against removed words, especially when they are common words made to disappear for political effect. The previous dictionary, 2014, removed spic, goy, goyim, and negro; that was not right. The current dictionary added back all but negro (check for yourself, here). The word is still in use, both verbally and in literature, and not particularly offensive, less offensive than spic, IMHO. The American Negro College Fund doesn’t seem to mind the word negro. Malcolm X didn’t either. No one tells you these words are gone; they just disappear in the night.

My opinion, such as it is. I’m asking Mattel, Hasbro, Colliers, and/or Merriam-Webster: allow in all normal words, despite the fact that several have implied insults, or real ones. AND PUBLISH A COMPLETE CORRECTIONS PAGE, you [non recognized word]. Thank you.

Robert Buxbaum, December 27, 2018.

Climate change, and the metaphysical basis of humor

It’s funny because ….. it’s metaphysical, it deals with what’s real and relevant, and what’s secondary and transient– an aspect as fundamental as it is funny. We claim we understand the real, but realize (down deep) that we don’t. A classic of old-time comedy is the clever slave, the sympathetic stooges, of the brave coward, or the most common version– the stupid person who does clever things at the right moment. A typical comic structure is to establish, early on, that this person is stupid (as well as being low, and crooked); he may say some stupid, low things, so we accept it as so, or perhaps someone in authority tells us, as in “Puddin’head Wilson”. But as the story progresses, we see the person do something clever, or show loyalty and bravery. The viewer begins to laugh because he knows that reality is sort-of this way, though our minds must keep people pigeonholed. The reader already knows, perhaps from other comedies, that the slave will turn out to be the hero, the stupid one will one-up the smart and the chicken will save the day– somehow.

Ward Sullivan in the New Yorker

Ward Sullivan in the New Yorker. It’s unsettling when you don’t know if this is a new reality or a passing phase.

In life, we grab on to the patters we see because the alternative, chaos, is worse. All winters are cold, but will this winter be longer or shorter than normal; perhaps the groundhog knows, or perhaps the president of the US knows? We’ve learned to ignore the groundhog, but trust the president. Once we accept, from authority, that winters are getting warmer, we resist any effort to think we may be wrong, or that the pattern of the past may have changed; uncertainty seems worse. But we laugh at comedy, and occasionally get mad. How much evidence before one accepts that the temporary is permanent, or that ones original assessment was flawed? In comedy there’s always a stuffed-shirt character who tries to show off and gets hurt, perhaps by a pie in the face. Then it happens again, and again. The injuries and slow acceptance of the new reality create the humor. A common ending is to discover that the clever slave is a half-nobleman, perhaps the son of the stuffed-shirt, and the crowd goes home happy, with someone new we can trust.

With global warming and climate change, I see the same comedy being played out, and I expect it to reach the same, happy ending. For 20-30 years, till about 1998, there were a string warming winters; as a result we come to believe things will keep getting warmer. Then the president says we have to stop it, and laws are passed but not implemented; Al Gore gets a nobel prize for his efforts to stop global warming; the computer experts predict global disaster if we don’t change by 2005. The studies predict 4-6°C warming per century warming with massive flooding; we make new laws and point to shrinking of Himalayan glaciers, shrinking polar ice, and the lack of snow on Kilimanjaro — all justifications for the need to act fast and sacrifice for the future, and the warming stops. So far it’s been 16 years and no warming, the snow’s comes back to Kilimanjaro, and the seas have not risen. A few scientists start saying there may be a problem with the models, and the president gets mad about the headless chicken skeptics.

The US is then/now hit with the coldest temperatures since the early 1900s, with as much snow as 1904, but it’s never clear if this is a fluke or the new normal reality. Has the real pattern of warming changed, or maybe it never was. Kilimanjaro’s still snow-capped, the glaciers have returned to the Himalayas, and the antarctic ice swells to record size. The US sees a year with no major hurricanes.  We can laugh, but there’s no laughter from the President of The US, or the Prince of England or any who solemnly predicted disaster. Like the stuffed shirts in a comedy, they double down, and roar at the deniers; “They’re pawns of the lobbyists.” And I suspect the resolution will be that some climate denier will be crowned as the new expert, and we’ll go on to worry about a new disaster.

For what it’s worth, the weather seems to be chaotic (Chaos is funny); we appear to have been seeing part of a cycle that has an up-period and a down period. Something like that is shown by the 100 year plot of temperature data from Charlotte Carolina shown below.

Charlotte SC average temperatures over the last century.

Charlotte SC average temperatures over the last century. Perhaps the recent warming is part of a cycle. Is it clear there has been a change in climate. If so, where does the change start?

Robert E. Buxbaum, March 9, 2014. Surrealism is funny because it taps into the ridiculousness of life. Metaphysics humor is behind a statistics joke, an architecture cartoon, and my zen joke.  Physics is funny too.

Patterns in climate; change is the only constant

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There is a general problem when looking for climate trends: you have to look at weather data. That’s a problem because weather data goes back thousands of years, and it’s always changing. As a result it’s never clear what start year to use for the trend. If you start too early or too late the trend disappears. If you start your trend line in a hot year, like in the late roman period, the trend will show global cooling. If you start in a cold year, like the early 1970s, or the small ice age (1500 -1800) you’ll find global warming: perhaps too much. Begin 10-15 years ago, and you’ll find no change in global temperatures.

Ice coverage data shows the same problem: take the Canadian Arctic Ice maximums, shown below. If you start your regression in 1980-83, the record ice year (green) you’ll see ice loss. If you start in 1971, the year of minimum ice (red), you’ll see ice gain. It might also be nice to incorporate physics thought a computer model of the weather, but this method doesn’t seem to help. Perhaps that’s because the physics models generally have to be fed coefficients calculated from the trend line. Using the best computers and a trend line showing ice loss, the US Navy predicted, in January 2006, that the Arctic would be ice-free by 2013. It didn’t happen; a new prediction is 2016 — something I suspect is equally unlikely. Five years ago the National Academy of Sciences predicted global warming would resume in the next year or two — it didn’t either. Garbage in -garbage out, as they say.

Arctic Ice in Northern Canada waters, 1970-2014 from icecanada.ca 2014 is not totally in yet. What year do you start when looking for a trend?

Arctic Ice in Northern Canada waters, 1971-2014 from the Canadian ice service 2014 is not totally in yet , but is likely to exceed 2013. If you are looking for trends, in what year do you start?

The same trend problem appears with predicting sea temperatures and el Niño, a Christmastime warming current in the Pacific ocean. This year, 2013-14, was predicted to be a super El Niño, an exceptionally hot, stormy year with exceptionally strong sea currents. Instead, there was no el Niño, and many cities saw record cold — Detroit by 9 degrees. The Antarctic ice hit record levels, stranding a ship of anti warming activists. There were record few hurricanes.  As I look at the Pacific sea temperature from 1950 to the present, below, I see change, but no pattern or direction: El Nada (the nothing). If one did a regression analysis, the slope might be slightly positive or negative, but r squared, the significance, would be near zero. There is no real directionality, just noise if 1950 is the start date.

El Niño and La Niña since 1950. There is no sign that they are coming more often, or stronger. Nor is there evidence even that the ocean is warming.

El Niño and La Niña since 1950. There is no sign that they are coming more often, or stronger. Nor is clear evidence that the ocean is warming.

This appears to be as much a fundamental problem in applied math as in climate science: when looking for a trend, where do you start, how do you handle data confidence, and how do you prevent bias? A thought I’ve had is to try to weight a regression in terms of the confidence in the data. The Canadian ice data shows that the Canadian Ice Service is less confident about their older data than the new; this is shown by the grey lines. It would be nice if some form of this confidence could be incorporated into the regression trend analysis, but I’m not sure how to do this right.

It’s not so much that I doubt global warming, but I’d like a better explanation of the calculation. Weather changes: how do you know when you’re looking at climate, not weather? The president of the US claimed that the science is established, and Prince Charles of England claimed climate skeptics were headless chickens, but it’s certainly not predictive, and that’s the normal standard of knowledge. Neither country has any statement of how one would back up their statements. If this is global warming, I’d expect it to be warm.

Robert Buxbaum, Feb 5, 2014. Here’s a post I’ve written on the scientific method, and on dealing with abnormal statistics. I’ve also written about an important recent statistical fraud against genetically modified corn. As far as energy policy, I’m inclined to prefer hydrogen over batteries, and nuclear over wind and solar. The president has promoted the opposite policy — for unexplained, “scientific” reasons.

Zen and the hotdog vendor (a joke)

What did the Zen master ask from the hot dog vendor?

“Can you make me one — with everything?”

The vendor (so the story goes) replied “That will be $1.50.” The Master handed him $10 and the vendor handed him a hot-dog and said, “change comes from within.” (thought you’d like to know).

If you think this is funny, you may also like my previous Zen joke or (for all I know), my recent personal relationship cartoon.