Etiquette



DP Etiquette

First rule: Don't be a jackass. Most people are good.

Other rules: Do not attack or insult people you disagree with. Engage with facts, logic and beliefs. Out of respect for others, please provide some sources for the facts and truths you rely on if you are asked for that. If emotion is getting out of hand, get it back in hand. To limit dehumanizing people, don't call people or whole groups of people disrespectful names, e.g., stupid, dumb or liar. Insulting people is counterproductive to rational discussion. Insult makes people angry and defensive. All points of view are welcome, right, center, left and elsewhere. Just disagree, but don't be belligerent or reject inconvenient facts, truths or defensible reasoning.

Tuesday, November 15, 2022

On the persistence and effectiveness of climate science denials and propaganda generally

Over at the Neurologica blog, Steve Novella occasionally writes posts on climate change. The science and data in those posts are then attacked by a swarm of climate science deniers. From time to time, he writes on the power and effectiveness of constant climate science propaganda and lies. The same applies to all other topics that get demagogued by people who will not or cannot accept inconvenient facts, truths and sound reasoning. Novella writes:
The lies of climate change denial

Whenever I write about climate change here, the deniers show up spouting dubious (to say the least) claims. In my opinion, this is a manifestation of a deliberate political strategy, one that we see with other topics. The strategy is to make up blatant lies, or at least claims without the slightest regard for whether or not they are true, and then spread them through ideologically friendly outlets. .... Just keep throwing crap against the wall, and some of it will stick. When these notions make their way into the mainstream media, they are quickly debunked. But by then it’s too late – the damage is done. Long after the false claims are soundly refuted, the rank and file believers will still be quoting them. They are now part of the narrative. 
Volcanoes emit more greenhouse gas than human activity.

This is an old one, but has remarkable persistence. These claims go through a selection process. Claims survive not because they are true, but because they resonate. In this case, the volcano claim fits the overall narrative that meager human activity is nothing compared to the awesome scale of nature. They want to portray the very idea that we can alter the climate as ridiculous. Fact, however, get in the way of this narrative.

According to the US Geological Survey:

Published scientific estimates of the global CO2 emission rate for all degassing subaerial (on land) and submarine volcanoes lie in a range from 0.13 gigaton to 0.44 gigaton per year.

That sounds like a lot, but human activity releases 35 gigatons of CO2 each year. That means that human activity releases more than 100 times the CO2 as does all volcanic activity. When I pointed this out in the comments, these easily verifiable scientific facts were dismissed as a liberal conspiracy. Another strategy is to simply shift to another claim, without ever admitting that you were wrong on the first one. In this case just shift over to methane – but that is a loser argument also. Of all the methane released into the atmosphere each year, 60% is due to human causes. All natural sources amount to only 40%, and volcanoes are a minority of that. Most methane on Earth comes from biology.

I do admit it still surprises me when this one is trotted out, because these are easily checkable basic facts. This is a good way to completely squander one’s credibility. I think this says something meaningful about the intellectual process that is being employed by those dedicated to the denial of global warming.

Climate models are simplistic and wrong.

Dismissing climate models is a more complex matter to refute, because this is more than just looking up a couple of numbers. First there is the notion that climate scientists, in producing their models which predict anthropogenic global warming, did not consider natural factors. This is, of course, absurd, and represents non-experts criticizing an entire world-wide community of experts from a profound level of relative ignorance – and doing it with confidence and arrogance. This almost always comes without citations, or by citing only known outliers.

Climate models, from the beginning, have sought to include the latest science available and account for all possible factors. Over the last 50 years climate models have been steadily modified, to account for new scientific data as it comes in. In addition, models have to account for future behavior, such as how much CO2 will the world emit in the future. So they can only give ranges of outcomes based upon explicitly stated assumptions about human behavior in the future. Often models are used to project what will happen under various scenarios – continuing our current trends vs changing course.

One of the best ways to determine how well models predict the climate (how “skillful” they are, in the jargon) is to see how past models predicted later climate change. This has been done multiple time. Here is a 2019 review of 17 climate models. They found:

We find that climate models published over the past five decades were skillful in predicting subsequent GMST changes, with most models examined showing warming consistent with observations, particularly when mismatches between model-projected and observationally estimated forcings were taken into account.

That last bit means the difference between projections of CO2 emissions vs actual CO2 emissions. The bottom line is that the model basically work, and they are continuously getting better as they incorporate the latest science. Computers are also getting more powerful, allowing for more complex climate simulations. But still you will frequently hear things like, “Maybe it’s the sun. All those scientists never thought of that.”

Yeah, maybe it’s the sun and all those scientists never thought of that blatantly obvious factor that only climate science deniers thought of. 

Novella goes on to discuss the debunked argument that CO2 causes greening which absorbs excess CO2. 

To me, the key points are:
  • Just spouting lies, deceit and crackpottery and spreading that online causes irreparable damage to truth and democracy because minds rarely change in the face of inconvenient facts, truths or reasoning (IMHO, lies, deceit and crackpottery are usually (~97% of the time?) inherently anti-democratic)
  • The burden is usually greater for the side that defends truth and sound reasoning because lies and crackpottery can be short and sound reasonable, while debunking a lie or crackpottery is usually more complicated and harder to boil down to something simple

Book Review: Expert Political Judgment



I do not pretend to start with precise questions. I do not think you can start with anything precise. You have to achieve such precision as you can, as you go along. — Bertrand Russell, philosopher commenting on the incremental nature of progress in human knowledge and understanding

“People for the most part dislike ambiguity . . . . people find it hard to resist filling in the missing data points with ideologically scripted event sequences. . . . People for the most part also dislike dissonance . . . . [but] policies that one is predisposed to detest sometimes have positive effects . . . . regimes in rogue states may have more popular support than we care to admit -- dominant options that beat all the alternatives are rare.”

“The core function of political belief systems is not prediction; it is to promote the comforting illusion of predictability.”

“Human performance suffers because we are, deep down, deterministic thinkers with an aversion to probabilistic strategies that accept the inevitability of error. We insist on looking for order in random sequences.”

“. . . . we have yet to confront the most daunting of all the barriers to implementation [of an objective system to evaluate expert performance]: the reluctance of professionals to participate. If one has carved out a comfortable living under the old regime of close-to-zero accountability for one’s pronouncements, one would have to be exceptionally honest or masochistic to jeopardize so cozy an arrangement by voluntarily exposing one’s predications to the rude shock of falsification.”

“Human nature being what it is, and the political system creating the perversely self-justifying incentives that it does, I would expect, in short order, faux rating systems to arise that shill for the representatives of points of view who feel shortchanged by even the most transparent evaluation systems that bend over backward to be fair. The signal-to-noise ratio will never be great in a cacophonously pluralistic society such as ours.”
-- Philip E. Tetlock, Expert Political Judgment, 2005



Context: For the most part, this channel is devoted to advocacy for a new, science-based political ideology and set of morals that recognize and accept human cognitive and social biology as sources of (i) disconnects from reality (facts), and reason (logic), and (ii) unwarranted inefficiency, unwarranted intolerance, unwarranted distrust, unwarranted conflict and etc. To this observer's knowledge, this book is the single best source of data for proof of the power of political ideology to distort fact and logic. Measuring expert competence (or more accurately, incompetence) is this book's sole focus.

Book review: Social psychologist Philip Tetlock's 2005 book, Expert Political Judgment: How Good Is It? How Can We Know?, summarizes about 20 years of his research into the question of whether it is even possible to reliably measure how good expert opinions are, and if so, how good are they. For his research, Tetlock focused mostly on measuring the accuracy of thousands of expert predictions about global events to see if that could afford a way to measure competence of expert opinion.

After a massive research effort, two answers came back: (1) Yes, their opinions can be measured for accuracy, and (2) all experts are dreadful. Tetlock's research shows that a key reason experts rise to the level of expert is because (i) they are fluid in simplifying problems and solutions and (ii) their presentations sound authoritative. But for the most part, they're wrong about 80-90% of the time. In other words, expert opinions are about the same as opinions of average people. In fact, there's barely any statistically detectable difference between most experts and random guessing. That's how good our experts, pundits, politicians and other assorted blowhards really are, i.e., they're worse than worthless. That assessment of more bad than good includes the damage, waste, social discord and loss of moral authority that flows from experts being wrong most of the time. One cannot be fair about this if one ignores mistakes.

Arrrgh!! The computers are coming!: Another mind-blowing observation came from Tetlock's use of several algorithms to see how well computers do compared to human experts. The data was sobering. One simple algorithm performed the same as human experts. No big deal. But, more sophisticated models, autoregressive distributed lag, performed about 2.5-fold better than the very best humans. That is a massive difference in competence. Tetlock commented: “whereas the best human forecasters were hard-pressed to predict more than 20 percent of the total variability in outcomes…, the generalized autoregressive distributed lag models explained on average 47 percent of the variance.” One can imagine that with time, algorithms will be improved to do better.

Tetlock doesn't advocate replacing humans with computers. He is suggesting that when a validated algorithm is available, experts would be well-advised to use it and take what it says into account. That seems perfectly reasonable.

Foxes and Hedgehogs: Tetlock identifies two basic mindsets and their cognitive approach to analyzing issues and making predictions, liberals and conservatives. The liberal mindset, the Foxes, to a small but real degree, does better than the conservative mindset, the Hedgehogs. Hedgehog thinking can be accurate depending on the issue at hand. But over a range of issues, its focus on key values or concepts limit its capacity to do well in the long run. By contrast the Fox mindset is more fluid and less ideologically constrained. Regarding political ideology, Tetlock comments: “The core function of political belief systems is not prediction; it is to promote the comforting illusion of predictablity.”

Regarding motivated reasoning or cognitive dissonance: “People for the most part dislike dissonance, a generalization that particularly applies to the Hedgehogs . . . . They prefer to organize the world into evaluative gestalts that couple good causes to good effects and bad to bad. Unfortunately, the world can be a morally messy place . . . . regimes in rogue states may have more popular support than we care to admit -- Dominant options that beat the alternatives on all possible dimensions -- are rare.”

Does some of that sound at least vaguely familiar? It ought to.



Why do bad experts persist?: Tetlock's data shows that bad experts persist for a range of reasons:
1. No one keeps track of their performance over time and they're never held accountable for mistakes. No one measures and grades experts (except Tetlock).
2. They are expert at explaining away their mistakes, sometimes incoherently, e.g., (i) I was almost right, (ii) I was wrong, but for the right reasons, (iii) that intervening event was unforseeable, it's not my fault, (iv) etc.
3. They appeal to people's emotions and biases that make them appear right, even when there is plenty of evidence that they are wrong.
4. The unconscious hindsight bias leads most experts to believe they did not make their past mistakes, i.e., they deny they guessed wrong and instead firmly believe their prediction was correct.
5. Experts are expert at couching their predictions in language that makes measuring accuracy impossible, e.g., (i) they don't specify by what time their predictions will come to pass, (ii) they use soft language that really doesn't amount to a firm prediction, ‘it is likely that X will happen’ without specifying the odds or what ‘likely’ means.
6. Etc.

Tetlock's book is not easy to read. It could be part of a college course in social psychology or political science. The data is often expressed in terms of statistics. Nonetheless, there is more than enough general language for the lay reader with a high school education to fully understand the book's main point about the discomfortingly rare expert competence in politics.

When it comes to politics, Tetlock isn't naïve: “Human nature being what it is, and the political system creating the perversely self-justifying incentives that it does, I expect, in short order, faux rating systems to arise that shill for the representatives of points of view who feel shortchanged by even the most transparent evaluation systems that bend over backward to be fair. The signal-to-noise ratio will never be great in a cacophonously pluralistic society like ours.”

Remember, that was 2005. This is 2018. The weak signal is fading in the increasing roar of blithering noise in the form of lies, deceit, character assassination, unwarranted fear mongering and other forms of nonsense.

Question: Was Tetlock's 2005 prediction that faux rating systems would arise in ‘short order’ to hype the reputation of inept experts mostly correct, or, has it sufficed for dissatisfied people to simply deny the existing ratings systems are credible?

Note: In 2017, Tetlock published a second edition. The first chapter is here.



B&B orig: 2/12/18; DP 8/7/19

 

After the 'red wave' flop, we need new male political experts who are always wrong. I'm in.

Opinion by Rex Huppke, USA TODAY 

Consider the following:

As the dust settles, it’s clear the key takeaway from the midterm elections is this: America’s cable news networks need to clear out their stable of male pundits who are consistently wrong about everything and bring in some fresh male voices who will also be consistently wrong about everything.

As someone who checks both boxes – male and regularly wrong – I humbly submit my application to fill this important role.

If you weren’t paying attention to the men on television who get paid large sums of money to be incorrect, you might have missed their incessant, supremely confident and wildly wrong predictions of a Republican “red wave” in the midterms. 

►On Oct. 27, Fox News host Jesse Watters told Geraldo Rivera the GOP would win the Senate and the House. Watters was so confident he bet Rivera $1,000. (Democrats kept the Senate and if the GOP does win the House, it will be by a narrow margin.)

►On Nov. 4, Fox News contributor Newt Gingrich predicted that Herschel Walker would win the Georgia senate race without a runoff (he didn’t), that Mehmet Oz would win the Pennsylvania Senate race (he didn’t) and that Blake Masters would win the Arizona Senate race (he didn’t). Gingrich also guessed Republicans would wind up with a 44-seat advantage in the House, which we already know won’t come close to happening.

►Sean Hannity responded to the predictions by saying: “You’ve never been wrong. You’re almost always right.” 

There are bad male prognosticators on TV, then there's CNN's Chris Cillizza

The day before the election, Fox News host Pete Hegseth said: “This midterm election is the end of Joe Biden's political career. When the red wave comes, and it is coming, Joe Biden’s political utility is over.” 

Over on CNN, the most regularly wrong person of all time, Chris Cillizza, wrote columns with these headlines in the run-up to Nov. 8.

Monday, November 14, 2022

Thoughts about gerrymandering

America’s low information society
One could have assumed that most Republicans in red states would be fine with gerrymandering voting districts to disenfranchise or neuter as many non-republican voters as possible. That assumption would be based on assuming that by now Republican voters know that if they do not gerrymander good and hard, their political power will decline. After all, Republican elites have been open about their hostility toward free and fair elections for decades. There is no secret here, as this description of a 1980 speech by Republican Party elite Paul Weyrich makes clear:
Paul Weyrich, ‘father’ of the right-wing movement and co-founder of the Heritage Foundation, Moral Majority and various other groups tells his flock that he doesn't want people to vote. He complains that fellow Christians have "Goo-Goo Syndrome": Good Government. Classic clip from 1980. This guy still gives weekly strategy sessions to Republicans nowadays [2007]. The entire dialog from the clip: 
“Now many of our Christians have what I call the goo-goo syndrome — good government. They want everybody to vote. I don't want everybody to vote. Elections are not won by a majority of people, they never have been from the beginning of our country and they are not now. As a matter of fact, our leverage in the elections quite candidly goes up as the voting populace goes down.”
So, it came as a surprise to me that poll data from Feb. 2022 indicates that majorities of people dislike gerrymandering. That includes Republicans. One source commented on the poll data:
Two-thirds of Americans told pollsters for The Economist and YouGov that states drawing legislative districts to favor one party is a “major problem” with just 23 percent saying it’s a “minor problem.” But 50 percent said they do not know whether districts are drawn by the legislature or an independent commission in their own state.

Even though half of Americans do not know how their districts are drawn, a majority still is opinionated about the process.  
Nearly half of respondents (48 percent) said they strongly oppose gerrymandering while another 12 percent said they are somewhat opposed. Only 10 percent said they strongly or somewhat support gerrymandering.

non-partisan voting districts


Bringing a knife to a gun fight
If Republicans retake the House, which is still unsettled, one can argue that it will be because two large Blue states, CA and NY, got rid of partisan gerrymandering. Both CA and NY now draw non-partisan voting districts for the House of Representatives. Both CA and NY are set to lose 3-4 competitive House seats that could have been gerrymandered into seats safe for Democrats. 

The House could fall to the fascist Republican Party, where those pro-democracy non-partisan seats in CA and NY were necessary for that to happen. If that turns out to be true, was the move to pro-democracy non-partisan voting districts a good thing or a mistake? If mistake, is it one that could eventually lead to the fall of democracy, the rule of law and civil liberties to vengeful Christian nationalist theocrats and corrupt brass knuckles capitalists?