Paul M. Jones

If you are a product of your behavior, start wearing a watch again to discover who you actually are.  If the sex addict gets a watch, hell, gets a calendar, what he will discover is that he has practiced no other skill more diligently than pursuing empty sex that he knows is unsatisfying to him.  That's what he's spent the most time on, that's what he knows how to do the best. Better than driving, better than speaking, better than Xbox-- he has that mindset down to a reflex.  So why would you expect he'd use any other technique for any other life problems that come up?  If all you are is an expert hammerer, everything gets hammered.

via The Last Psychiatrist: Shame.

You want to find empirical studies that show free trade to be harmful to free-trading nations?  No problem; you can find them.  You want to find empirical studies that show government stimulus spending to be a sure-cure for what ails a slumping economy?  There are plenty of such data-rich studies out there.  You want to find empirical studies that show that violent crimes aren’t deterred by the death penalty?  Not a problem.  You want to find empirical evidence that increased rates of handgun ownership increase citizens’ likelihood of dying of gunshot wounds?  Many such studies are available.

You can also find plenty of empirical studies showing the opposite of what is shown by all of the above studies.  And these other studies are, as a group, no less carefully done than are the studies that they contradict.  And these other studies, also, are done by scholars no less credentialed and no less objective than are those scholars who produce the contrary findings.

That’s the reality of the social sciences.  It’s not an exercise in simple observation of simple and self-defining facts, only one or two of which change at any time.

via Where Are My Data?!.

When there are many factors that have an impact on a system, statistical analysis yields unreliable results. Computer simulations give you exquisitely precise unreliable results. Those who run such simulations and call what they do “science” are deceiving themselves.

Beware also of models that fit historical data (especially "corrected" or "adjusted" data) but do not provide accurate predictions. This applies to macroeconomics, climate change, the stock market, social "sciences", and other complex systems with high causal density. You have to be very very careful you aren't fooling yourself with these models; and, as noted by Feynman, "yourself" is the easiest person to fool. Via Causal Density is a Bear | askblog.

Over the past 15 years air temperatures at the Earth’s surface have been flat while greenhouse-gas emissions have continued to soar. The world added roughly 100 billion tonnes of carbon to the atmosphere between 2000 and 2010. That is about a quarter of all the CO? put there by humanity since 1750. And yet, as James Hansen, the head of NASA’s Goddard Institute for Space Studies, observes, “the five-year mean global temperature has been flat for a decade.”

Temperatures fluctuate over short periods, but this lack of new warming is a surprise. Ed Hawkins, of the University of Reading, in Britain, points out that surface temperatures since 2005 are already at the low end of the range of projections derived from 20 climate models (see chart 1). If they remain flat, they will fall outside the models’ range within a few years.

The mismatch between rising greenhouse-gas emissions and not-rising temperatures is among the biggest puzzles in climate science just now. It does not mean global warming is a delusion. Flat though they are, temperatures in the first decade of the 21st century remain almost 1°C above their level in the first decade of the 20th. But the puzzle does need explaining.

The mismatch might mean that--for some unexplained reason--there has been a temporary lag between more carbon dioxide and higher temperatures in 2000-10. Or it might be that the 1990s, when temperatures were rising fast, was the anomalous period. Or, as an increasing body of research is suggesting, it may be that the climate is responding to higher concentrations of carbon dioxide in ways that had not been properly understood before. This possibility, if true, could have profound significance both for climate science and for environmental and social policy.

All emphasis mine. I will add that if the models are wrong, the scientists defining those models have also been wrong (or at the very least they have had insufficient information to build models with sufficient predictive capability). Via Climate science: A sensitive matter | The Economist and PowerLine (where there is more commentary).

Common technical conversation: "Well, why don't we just make a generic system, and then we'll tweak it to work with every specific implementation as we roll it out?"

There follows a long conversation from any good project manager that runs roughly like this:

a) In order to avoid having to completely rework much of the innards of a "generic" system, you need to know all the ways in which the specific systems could be exceptional.

b) In almost every case, if you knew the data in (a), there would be no reason to build a "generic" system, because you could simply start building the specific systems.

c) No, customer, your case is not an exception to (b).

d) OK, happy to do it your way. Please sign this spec, and pay attention to the bit that states that change requests void deadline commitments and will be charged extra at a higher than standard rate.

Most "simple projects," at least in the tech world, tend to be complex projects that have not been subject to sufficient scrutiny to have their complexities identified.

Emphasis mine. Via Will Obamacare's Exchanges Be Ready on Time? - The Daily Beast.

Just go look at them. They're not afraid of handling weapons; why are you? Girls of the Israeli Defense Forces (37 Photos).

Recently, my parents found an old dog that had been abandoned.  He stunk.  We needed to bathe him, and he wasn't keen on the idea.  It might seem mean to hold him down and spray him with a hose and soap with all his whining and complaining and whelping.  It would seem to the dog like he was being abused, and would sound like he was being abused.  But if we don't clean the dog, no one is going to take him in.  It is a loving action to wash the dog.  Whereas if we let him go on stinking, it will be much happier, and will surely die of starvation in a matter of weeks.  That isn't loving.

This is also a concept largely missing in modern morality.  Evil can wear kindness, and good can wear cruelty -- God was once praised as "terrifying".  Don't be fooled by appearances, but intention.  Love looks to better the other, while true hatred looks to please the other so as to use them for one's own wishes.

Go read the review to see why I picked that particular excerpt. Via the Wood between Worlds: Let Me In: the anti-Twilight.

To build a financial system meant building institutions (foremost, the Bank), and that in turn meant constitutional construction. Everyone on all sides eagerly mobilized the “original public meaning” of the Constitution, only to discover that it would carry only so far. Those arguments, moreover, were part of a vituperative, sharply polarized and, over long stretches, closely divided debate. (McCraw records the often razor-thin margins on votes on the Bank, the debt, and internal improvements.) The stuff that we now take for granted and cite, reverently and/or precedentially, as constitutional wisdom easily could have come out the other way. In our current confused debate, it’s good to hold on to all of that at the same time: the Constitution as a lode star; the limits of mere interpretation and the impossibility of a Constitution beyond all politics; and the recognition that the Constitution can survive and, in a real sense, rests on political strife.

via The Founders’ Finance, and Ours | Online Library of Law and Liberty.

Ask Not What's Possible: the question is not what you can do, the question is how much the client is willing to pay for it and how long they will wait.

Time Substitutes for Money on a Logarithmic Scale: e.g cutting the time by 20% will require doubling the budget. Cutting the budget by 30% will quadruple the amount of time.

All Estimates are Optimistic: new application development will take three times as long as you expect, and cost twice as much. Or vice-versa.

(Emphasis in original.) Via Database Soup: 20 Rules of Software Consulting.