The Science of Irrational Decisions
The Rat Race Trap blog has a look at one aspect of the irrational decision-making process humans employ, based on the book Predictably Irrational by Dan Ariely. "Professor Ariely describes some experiments which demonstrated something he calls 'arbitrary coherence.' Basically it means that once you contemplate a decision or actually make a decision, it will heavily influence your subsequent decisions. That's the coherence part. Your brain will try to keep your decisions consistent with previous decisions you have made. I've read about that many times before, but what was surprising in this book was the the 'arbitrary' part. ... [In an experiment] the fact that the students contemplated a decision at a completely arbitrary price, the last two digits of their social security number, very heavily influenced what they were willing to pay for the product. The students denied that the anchor influenced them, but the data shows something totally different. Correlations ranged from 0.33 to 0.52. Those are extremely significant."
I think Im 50 / 50 on this one
Will it help me to understand why I read Slashdot instead of doing something productive with my time?
See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
define "big words". do you mean closer to "potato" or closer to "superstructure"
I reserve the right to have a physical object so I can sell it later, and recover my money.
Remember those personalized hologram ads in Minority Report? Now, if they know your SSN, they can personalize a "deal" for you at a price you might be more willing to pay for it.
"Love heals scars love left." -- Henry Rollins
How the hell did this article make it off the firehose?
There is a quote in the summary from a blog referenced. The blog is not linked to -- instead the only link is to a site (Amazon, I think) selling the book.
Where's the actual discussion of what's in the book? Where's the article (or blog entry)?
If you're going to post a book review... please, include the review. Otherwise it looks like you're just hocking a book.
"Trolls they were, but filled with the evil will of their master: a fell race..." -- J.R.R. Tolkien on Olog-hai
http://www.ratracetrap.com/the-rat-race-trap/irrational-decisions-anchoring-and-arbitrary-coherence.html
Editors sleeping on the job
What a sweet job
[Fuck Beta]
o0t!
People tend to forget that logic is just a set of rules. If you load it up with bad data, especially data that is driven by pure emotions, you'll rationalize yourself into neat, coherent clusterfuck. The difference between wisdom and intelligence is that the former is an a priori mental filter for bad data, the latter is just raw capacity. That's why a wise person need not follow a life based on reason alone to generally make good decisions.
Seriously..
It looks like the blog is here: http://www.ratracetrap.com/the-rat-race-trap/irrational-decisions-anchoring-and-arbitrary-coherence.html
...so when we're faced with an uncertain decision, we take cues from those around us rather than from our social insurance numbers. As a result, industries characterized by high technological uncertainty -- like those discussed on /. -- tend to be governed less by the the clarity of perfect information in competitive markets and more by inherently social processes: imitation of either past behavior or the behavior of successful competitors.
"A man hears what he wants to hear, and disregards the rest."
- Paul Simon, The Boxer
-kgj
Science? ...
This is exactly why I never buy anything that is not previously labeled with a price. I will negotiate but not if I have to contemplate a starting value myself.
Nothing really new here. Decisions making based on anchors is a large part of why we use Planning Poker when doing our estimations. All it takes is that one guy that says everything is easy to influence everyone's brain to under-estimate a project.
TFS never claimed it was a strong correlation. It's a highly SIGNIFICANT correlation (meaning that the probability that the result occurred by chance and not systematically is very low, less than 5%).
Now, whether or not .33 is a STRONG correlation is another matter. By most definitions, it is not, although .52 would be a moderate correlation. However, the correlation does suggest that about 10-30% (r-squared) or more of the variation in subjects' decisions was accounted for by their social security numbers (accounted for != caused by, but we can make inferences based on the experimental design). Over a lifetime, 10% variation due to random irrelevant factors (like SS number) is serious, and 30% is HUGE. In that sense, it is a meaningful result, even if the correlation is not a "strong" one in terms of proportion.
Everything is easy when you don't understand the problem.
And I just want to give props to kdawson (or whoever) for correcting the oversight... link to the blog is now there.
"Trolls they were, but filled with the evil will of their master: a fell race..." -- J.R.R. Tolkien on Olog-hai
Our brains favor consistency over correctness... we're finally coming close to understanding the biological origins of conservativism. Here's hoping this research eventually leads to a cure.
Dislike the Electoral College? Lobby your state to join the National Popular Vote Interstate Compact.
Correction: Cut the "or more". It was left over from a previous version of that comment... if you can believe that I actually read and revise my comments before posting! (although apparently not well enough)
Everything is easy when you don't understand the problem.
Apparently I'm in a very pedantic mood today.
Correlation is a measure of how well the model describes the data. So according to the summary, 33 to 52% of the variation in the data was explained by the model. Depending on the inherent variability in the criteria being evaluated, that could be very good or very bad. In my line of work that would be very bad, but for social sciences such as sociology, that is very high. It all comes down to how many variables you can control. The more control, the less variation, the higher the correlation when the model is a good fit.
Significance is a measure of the probability that the response seen is due to random variation or errors in sampling. They may have given a measure of significance in the article, but the summary did not.
Bureaucracy expands to meet the needs of the expanding bureaucracy.-Oscar Wilde
So, it is basically about cognitive dissonance?
Hawking, you mean.
I had forgotten how much cooler teenagers look when they are smoking. Oh, wait
Science basically involved checking whether what "everyone knows" is actually correct, and then trying to find out why.
upon the advice of my lawyer, i have no sig at this time
another current /. headline: http://yro.slashdot.org/story/09/10/23/1249256/Data-Entry-Errors-Resulted-In-Improper-Sentences
Think the prosecutors & defense attorneys allowed their set point to be an assumption that the data must be correct ? Sure they did.
And I've always wondered about the moral certitude which seems to guide the decisions of various group adherents, like the Moral Majority back in the 80's. Say even the Acorn folks now. Once the premise is accepted, all further reasoning is derived there from.
I think this is sort of common sense, though and we all know that this is how the mind operates. Otherwise, how could organisms effectively process all of the stimulus information present in their environments with the outcome being a rational decision, in the time span necessary for survival decisions, with the limited 'computing resources' that our brains provide. ?
Don't we all generally accept that human thought processes work from categorization ? Hence we get bad affects like biggotry, prejudice, racism, genocide, etc. along with the ability to decide quickly and hence survive our environment.
Wow. I knew the "hurr durr, what good is this study, it's only repeating common sense, what a waste of time/resources" response was coming as soon as I read the summary title, but I didn't expect it would be the first post. Especially since this story is specifically ABOUT the way that people are prone to believe "obvious" things in spite of actual evidence.
Please, get this through your heads: "common sense" (another name for biases gained from anecdotes and cultural groupthink) is often misleading, unreliable, over-broad, or outright wrong. At one time it was "common sense" that heavy objects fall faster than light objects. It was "common sense" that large, heavy objects can't float in water. It was "common sense" that the world is flat and women and blacks are intellectually inferior to white men and that the planets and moons are perfect spheres orbiting in perfect circles.
Science is about testing claims through empirical experiment--sometimes the results match up with "common sense", sometimes they don't. Sure, this story an example of a place where experiment confirmed something that is fairly obvious on its face--but the data goes a long way towards better understanding the WHYS and HOWS of this "obvious" phenomenon. Data is never a bad thing.
In other words, a company that installs Windows on its first PC will probably install it on thousands of additions, instead of installing Linux on hundreds.
Who would win this election: Andrew Weiner vs Andrew Weiner's weiner.
To me laziness and pride are the two biggest obstacles to rational thinking.
Laziness since, more often than not, simply sitting down and thinking things through you can avoid most irrational decisions. Time constraints can make this difficult. But I'm surprised at how often I see family/friends make poor decisions simply because they don't know how to stop and think. I like this quote from Samuel Johnson since it articulates the fact that easy access to information does not mean people will spend the energy to even look at it (let alone use it wisely):
Mankind have a great aversion to intellectual labor; but even supposing knowledge to be easily attainable, more people would be content to be ignorant than would take even a little trouble to acquire it.
Next to laziness, is pride. This boils down to the fact that culturally we're often taught to focus on being right rather than focusing on what's right. This comes from the illusion that one can own or control truth. I've seen this affect friendships, marriages, professional atmospheres, politics, etc. Truth is independent. You either align yourself with it or continue to live in ignorance. Of course, objective indisputable truth is rare or even non-existent in humanity, but it's the honest, humble desire to align oneself with truth (not the other way around) that's important here.
Faith is a willingness to accept something w/o complete proof and to act on it. Reason allows you to correct that faith.
The wife's number ends in 99, which explains everything.
threadeds blog
When a store puts a product on sale, and it gets a new customer, it also loses that customer when the sale is off? Interesting that a number sticks so hard, not just the relative scale.
No, I meant hocking. As in, "hocking a loogie". Or as in "hamhocks", e.g. the lower shanks of pig's legs that have too much gristle for regular eating, but are good for soup base, or for adding flavor to boiled greens, just like a slashvertisement would do.
What do paraplegic astrophysicists have to do with poor article summaries and book promotion, anyway?
"Trolls they were, but filled with the evil will of their master: a fell race..." -- J.R.R. Tolkien on Olog-hai
A book on 'irrational thinking'....aka "Chicks Think the Darndest Things".
Light travels faster than sound. This is why some people appear bright until you hear them speak.........
For better understanding on Dan Ariely's point, see this video http://www.ted.com/talks/dan_ariely_on_our_buggy_moral_code.html
Some clarifications:
- The SSN is not itself important to the experiment. They could have asked for their driver's license and have the same correlation.
- About 40% of the people would base their decisions on a previous decision that was not taken by themselves (starting price in this case), meaning that the coherence would apply to the situation rather than their own decisions.
So what we have here is a confirmation that a significant number of people can be pushed around if they didn't have a previous opinion on the matter. Not exactly novel and I fail to see the arbitrariness.
http://dilbert.com/2010-12-13
Hey, I can be a quack evolutionary biologist too! The mind is constantly trying to cast objects and phenomena into patterns, so that it can identify similar patterns of events that happen in the future. That way, it'll have some idea of how a certain decision turned out in a situation patterned a certain way. So naturally, it doesn't just describe or identify patterns, it also constructs them. So by trying to construct the coherences described in the TFA, it is trying to construct a world in which it has an advantage, because it has a tool (pattern matching) that works quite well in it.
I'm pretty sure advertisers already know this: "How much would you pay for all this? $100? Guess again! If you call within 10 minutes we'll sell it to you for ONLY $19.99!"
Prov 9:8 Do not rebuke mockers or they will hate you; rebuke the wise and they will love you.
You still don't get it, just like most people who turn reason into a fetish. A 100% perfect logical system is still dependent on the data that it receives. One of those inputs is raw emotion. Another is instinct. You cannot perfectly control them, and are lucky to just control them most of the time.
This is a well-known phenomenon. I first encountered it in Phil Zimbardo's Discovering Psychology series (Skip to about 9:30)
So this science basically involves saying things everyone knows about using big words?
No, science involves proving things people might have thought is true (yet had no proof is true, so can't honestly even claim IS true, as being correct would be only an accident) using normal sized words that you just happen to be on the end of the bell curve which finds them not small enough to understand (and consequently complain about.)
To hawk is to peddle or sell, or to clear mucus from the throat.
To hock is to pawn.
Whichever meaning you intended, you got the wrong word.
And, from the context, you clearly meant peddling.
I had forgotten how much cooler teenagers look when they are smoking. Oh, wait
Yes.
It increases Dopamine spikes in your brain. Doing Productive Things is boring, so they don't. It's the same brain center as other addictions.
My first Journal Entry ever, in 8 years! http://slashdot.org/journal/365947/aphelion-scifi-fantasy-horror-poetry-webzine
The correlation coefficient or r value alone does not tell one whether the relationship is statistically significant or not. It is the correlation coefficient in light of the sample size that determines this. So, for example, if we set Type I error at .05, a correlation coefficient (Pearson r) of .33 would be significant if the sample size was 37, but it would not be with a sample size of 30. On the other hand, with sample size of 100, even correlations of .195 are considered statistically significant.
"something he calls "arbitrary coherence."
And that other call things like behavioral persistance, behavioral momentum, priming, avoidance of cognitive dissonance, etc. He can call it whatever he wants, but that's not going to make the concept his.
"Correlations ranged from 0.33 to 0.52. Those are extremely significant."
Those are correlations, the magnitude and direction of co-variance of two measures. These are positive so they vary the same directions. Correlations, are often done using Pearson's technique and are then given the variable little r. A handy but of work with r is the ability to tell at a glance just how much of the observed variance can be explained by the scores. To do so, simply square them. So the amount of variance explained in these tests are 0.11 to 0.27 (11% to 27%). That means from 73% to 89% of the observed variance is unexplained. In practical terms, that's poor. I know in psychology we tend to accept such low r's as meaningful, but we're about the only ones.
As to "significance": there is no such thing as "highly" (or any other modifier) significant. The significance score, using the variable little p, is what it is, whether you have a program tell you it's equal to or less than a number calculated from the data, or you calculate it and find it to be less than some arbitrary cut off value. If p 0.001 or if p = 0.9, that is the significance level. You can't use the modifiers because significance depends on things like the number of subjects and/or samples, score variance, multiple comparisons between scores, etc. The significance changes. Even with the same data set, if you calculate a second result, you're doing a second comparison which requires a correction factor and that changes p. What significance means in one data set (how many times Mary punches the Bobo doll after watching Homer choke Bart) has nothing to do with another (how many meters depth on average the Earth's surface would be sterilized by all US vs. all Russian thermonuclear weapons), so some dangling, arbitrary "much much MUCH so" means even less, being of zero import but incorrectly suggesting there is.
So those (.33 to .52) are the r values, In calculating them p was also. It should have been reported. I have no idea of the author ever did or not because the references here consist of two blog posts about the guy's work and one about a book on this subject, and zero that I see on peer reviewed journal articles. Now, I'll be the first to tell you that last bit doesn't count for near what people think, but at least they see to it the formulae are followed, one being proper (as in APA format) quoting of statistics. I might have looked up an article to see if the author gets it right, but I'm not about to read a book by someone who either ignores or is ignorant of the fact that the concept he's examining has already been, in much greater depth and clarity than what's given here.
"I may be synthetic, but I'm not stupid." -- Bishop 341-B
Now, whether or not .33 is a STRONG correlation is another matter. By most definitions, it is not, although .52 would be a moderate correlation.
Without a p-value these are just meaningless numbers, and it is extremely hard to generate a p-value from Pearson's r. Almost any measure of correlation is superior to it, but it continues to get used in the social sciences because "we've always done it that way."
Which sounds a lot like arbitrary coherence to me: the failure to challenge a statistic that has terrible underlying properties is a result of people "anchoring" on it, as they did on the arbitrary prices and wages described in TFA.
To give a concrete example, I once worked with a data-set where 0.98 was a terrible correlation. It all depends on the distribution of the underlying data. Without knowing that, and using it to compute a p-value, you can't say anything meaningful about the significance of a particular r-value.
Blasphemy is a human right. Blasphemophobia kills.
You're right, and I should have made that point explicit. The Pearson r does not make any indication of significance. I was assuming that the reviewer was aware of the p-value and based his statement on that, but failed to report it. My purpose was to point out that converse, a low r value does not exclude significance either. There's another thread running to the same point.
Everything is easy when you don't understand the problem.
"Don't believe everything you think" by Kida and "Kluge" by Marcus are further recommended reading on the topic.
it's in my head
Irrational decisions? By college students? Wow, amazing.
Arbitrary coherence is an oxymoron. It is either coherence or it's arbitrary. Decisions we make are never arbitrary, not even when we try to make a random choice. Ariely's experiment found an interesting correlation in the decisions made by the test subjects. However, the experiment was not designed to determine the reasons behind the decisions. Just because you don't understand the motivation behind someone's decisions, does not make these decisions arbitrary. And, obviously, they are not arbitrary since the experiment established a strong pattern to the subjects' actions. Ariely's findings are not exactly new either. Open just about any product catalog and you will notice the same pattern: common, "on-sale", moderately-priced items are tucked at the end of the page containing expensive products that often are not even in the same category. Clearly, we assign value by association in the absence of relevant facts. However, this does not make our decisions arbitrary. What results did Ariely expect his experiment to produce? True randomness from a human brain? I don't think so.
Actually, science is about trying to *disprove* things. Most scientific theories are impossible to "prove" completely; what scientists do is try to design experiments which are predicted by the theory to have a certain outcome, and which will probably have a different outcome if the theory is actually wrong. This is an effort to falsify the theory--to show that it is wrong.
The usefulness of scientific theories is not only that they can be used to predict outcomes, but also that we can use them to try and *explain* how the world works. But its generally impossible to *prove* that the theory is correct (and thus, that our explanations that are based on it are also correct). Instead, we build up confidence over time, by trying everything we can think of that might poke holes in the theory.
Example: what we call the 2nd Law of Thermodynamics is actually a scientific theory. Many, many experiments have been done which have failed to falsify this theory, so we have a lot of confidence now that it is essentially correct. But still, there might be some subtle nuances to it that we haven't quite figured out yet, and some day, an experiment might reveal them (showing that the theory is in some way wrong, or at least incomplete). If that happens, a new theory will have to be formed to try and account for the differences, and then new experiments will be devised to try and disprove *that* theory.
This isn't people being irrational, it's just a question of people assigning logic to random data...
If you are interviewed for a job, and you are asked the hypothetical question "Would you take the job for $50/hour", and then are actually offered the job at $20/hour, you'll be very suspicious that something sneaky is going on, and may believe you can get more money out of the negotiation, EVEN THOUGH you would probably have been happy with a $20/hour job up-front. On the flip side, if the first number is ridiculously low, and the second is more reasonable, you have every reason to assume you're luck to get as much as you were first offered.
Obviously, if you KNOW that data is random, you realize that's not the case. However, if you think there's a human behind the scenes, trying to gauge your reactions, it makes some sense.
OTOH, some of these tactics are already used to intentionally manipulate people. Ridiculous MSRP prices, leading to "99% OFF" sales, and similar tricks. Come to think of it, I may have to try using this to re-negotiate my salary...
Slashdot gets worse every day... Pipedot: News for nerds, without the corporate slant
While this may lead to suboptimal decisions in individual cases it is rational behavior for animals with finite intelligence and limited and unreliable information (i.e., us). This behavior has evolved because, in the general case, it works.
Warning: this article may contain humor, sarcasm, parody, and perhaps even irony. Read at your own risk.
Check this out - particularly part 2. In fact, check out part 2 first: it makes you wonder how much we lie to ourselves and post-rationalise. We need to do it.
We get a buzz out of making decisions: therefore there is always an emotional component in "rationality".
However, there is a danger of being lazy, letting others do the thinking and just experiencing the "rational" buzz second-hand.
People can tend to accept outlandish things when they are said in a "sensible" tone-of-voice...
Exactly and a pretty good review of this was posted on Coding Horror a few weeks ago http://www.codinghorror.com/blog/archives/001301.html with links to how it's sometimes implemented in a less than ideal way
Watch those corners
I submit that religion illustrates perfectly our ability to make irrational decisions in the absence of evidence, and cling to obviously false explanations in spite of real facts subsequently brought to light.
So does Clippy.
No good deed goes unpunished. - Avon, Blake's 7
FWIW, I'm currently reading "Sway: The Irresistible Pull of Irrational Behavior" by Ori and Rom Brafman. It's a really excellent book, similar in topic, and well-researched, and enjoyable to read with interesting real-life anecdotes to exemplify the points they raise. It touches on many different influences that affect our decision making processes.
http://www.amazon.com/Sway-Irresistible-Pull-Irrational-Behavior/dp/0385530609/ref=sr_1_1?ie=UTF8&s=books&qid=1256331144&sr=8-1
I think you misspelled "potatoe".
Ahh - My eye!
The doctor said I'm not supposed to get Slashdot in it!
Subjects use "arbitrary" factors to influence their decisions and they also take into account everything else to varying degrees. The brain "decides" the best it can and that includes relying on things like white matter, memory, and all its input up to, and, including the experiment's demand characteristics.
Assuming arbitrary and erroneous factors are quantitatively qualitatively different; we use all our resources to decide and if some of these factors and the degree they influence us seems arbitrary it is only because the decision process is more complex than we understand.
Ha - do it right - a theory is only *scientific* if if it makes predictions not already observed, making it falsifiable upon finding out those predictions failed. So by it's nature a scientific theory can never be proven 'completely' - that would imply it had no more predictions to make.
Sorry - got into an argument with a conservative the other night, been reading my Popper - {G}. It amazes me how many people will present articles that have no verifiable information in them as 'proof' that flu vaccine is dangerous, the health care plan is going to destroy our economy, et al.
Pug
An Invisible Entity of Vast Power whose existence must be taken on faith alone: Liberal Media
The social security numbers were just a way of having people choose completely arbitrary non-biased numbers as a base price to make a buy/don't buy decision against. Credit card numbers or phone numbers could have been used instead, or even assigning each person a completely random two digit number. The whole matter is that once they make a decision at some price, it appears that this is fairly likely to influence the price they would bid for it in an auction.
Since the initial price consideration is arbitrary and random, a shared previous cause (or influence) of both the initial decision price, and the bid price can be ruled out with high confidence. The bid price causing or influencing the initial price is similarly all but impossible. That leaves either the initial decision price causing or influencing the bid price, or the correlation found being a mere freak occurrence.
Stylish sheet to fix many problems in Slashdot's D3: https://gist.github.com/801524
Yes, distribution information is needed, or a measure that takes distribution into account is needed for the numbers to mean much.
Since we are working with a sample of the human population, if we were hopping to know the correlation in the population as a whole (which is probably more useful than the correlation in the particular sample), we would want a rho value range for some confidence interval, although admittedly getting a rho value for the particular sample in question is a necessary first step.
Stylish sheet to fix many problems in Slashdot's D3: https://gist.github.com/801524
Just want to point out that even though the correlation coefficients are definitely significant, that isn't effect size. Squaring the coefficients will give you a better idea of the size of the effect we're talking about here. In this case, the effect was found to account for about 11% to 27% of the shared variance. This is certainly nothing to sneeze at, but it also doesn't mean that you can really bet on it.
I'm not one of these "social science isn't science" trolltards. I just like to remind people to think in effect sizes to temper their enthusiasm. This is interesting stuff, no matter what, but having a couple quick 'n' dirty formulae for calculating effect size in your mental pocket will keep your reality check intact.
0.33 to 0.52 ? That doesn't seem too much of a co-relation to me.
But correlation is not causation, and if there is one thing sociological/psychological studies are consistently guilty of it's blending the two. They're grasping at straws, and one needs only common sense to realize this. If you're filling out a survey, do you treat it as a serous issue, which requires contemplation? Maybe. Is it possible that a larger percentage of those with higher last two SS numbers were wealthy than those with lower, thus willing to bid higher? Who knows. Studies like this are conducted all the time and they get only published when there's a "strong correlation." Please. This is far from conclusive and relies too heavily on conjecture (assuming correlation = causation). Your claim that "we can make inferences based on the experimental design" is highly questionable in this instance considering the small size of the group and only moderate correlation.
Here's a chess analogy. When I play white I never consider my first move, it's usually the same. When I play black my first move is predetermined by white's first move. I've played enough games of chess to know the immediate consequences of the opening moves. Similarly, you don't contemplate how to pump gas every time you pull up to the pump, you just do it. But when the chess game gets 5+ moves in you can't rely so heavily on prior knowledge because it becomes more unlikely that the board is exactly set up the same as it ever was before. On the flip side of this, you cannot contemplate every single piece and every single possible move b/c the human brain doesn't play chess the same way Big Blue does. But unlike Big Blue, the human can dismiss the rook which is boxed in by pawns, it can recall patterns and reapply them to the game at hand. But especially in late game situations you can rely less and less on prior knowledge. Like if the gas pump doesn't work like you'd expect it - you have to rethink what you know.
But the reliance on knowledge isn't a fallible weakness as this professor believes. We're able to assess a situation and determine whether depending on past knowledge is logical or not. "The fact that the students contemplated a decision at a completely arbitrary price, the last two digits of their social security number, very heavily influenced what they were willing to pay for the product. The students denied that the anchor influenced them, but the data shows something totally different." The fallacy is in the sentence. "Heavily influenced" when the truth was "moderate correlation." Furthermore, the data doesn't "show something totally different" it "SUGGESTS something different." Whenever the professor conducting the study uses hyperbolic and ILLOGICAL language and is trying to sell a book on the very subject, the results of the research become highly suspect. Grasping at straws.
Did he really expect to prove that the only beings capable of rational thought are irrational? Aristotle is turning over in his grave right now. From Amazon: "Duke University's behavioral economist Dan Ariely explores the hidden forces that shape our decisions" - a moderate correlation got turned into "hidden forces" - what a bunch of rubbish. A better example of an irrational decision is buying this guy's book. Statistics be dammed.
"From the depths of my skeptical and rationalist soul, I ask the Lord to protect me from California touchie-feeliedom."