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The Future's Uncertain, and the End is Always Near.

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Ice cliff, Barne Glacier, Antarctica Source: University of Washington


This entry's title is a line from Roadhouse Blues, sung by Doors lead vocalist Jim Morrison. I think of it every time I find someone making important decisions about what to do now based on what they think is going to happen in the future. Of course, such behavior is the closest there is in Zen Buddhism to a sin. Non-buddhists, in general, don't have any idea what a horrible thing it is to sacrifice what you have today in order to secure some reward in an imagined future, so they do it, and even feel proud of it.


Eeeyyyeewww!


A case in point is the perenially stalled movement to curb carbon emissions to avoid global warming. The Intergovernmental Panel on Climate Change (IPCC) in 2007 claimed: "Warming of the climate system is unequivocal ... ." It goes on to detail a raft of dire consequences if we don't heed their warning, and make drastic changes to our lifestyles and energy infrastructure.


So, let's hypothesize a future in which governments of the world gang together, and force their citizens (remember, this is just an hypothesis) to conserve energy by, for example, installing gadgets that won't let you dry your clothes before 10:00 pm, drop your thermostats to, say, 65 degrees in winter and raise them to 80 degrees in summer. They mandate use of electric vehicles that won't go over 55 mph, and can't go farther than 30 miles before recharging (thus limiting personal travel to a radius of 15 miles), and many other good ideas.


Let's say that this goes on for two generations, or about 40 years, at which time the sky is clear and blue, and it's damn cold by anyone's standards. So, roughly 5 billion people have been miserable for forty years (that's one year for each of Ali Babba's thieves) in order to avoid a climate catastrophe that nobody knows would have happened, anyway.


Then, an asteroid falls on 'em and wipes 'em all out.


Is this good planning? Is it based on good science?


The answer to both questions is "No."


I'll leave as an exercise for the reader to figure out why it's bad planning. It is, and that's why the "Green" movement has been stillborn all these years. While everyone is willing to go along with the ideas that global warming is "unequivocal," that it's bad, and that something must be done. Nobody believes it enough to take action based on it.


It's bad science because of the use of the word "unequivocal" in the report summary.


No scientist worthy of the title would use the word "unequivocal." Any sentence containing the word, without a counterbalancing negative (such as in "No scientific theory is unequivocal."), is prima facie not a scientific statement.


On July 5, 1687, Sir Isaac Newton published Philosophiae Naturalis Principia Mathematica, a three-volume book that was the seminal work for the science of physics. Nearly three centuries later, Albert Einstein published his special theory of relativity, which, among other things, showed that Newton had, after all, gotten it wrong. He followed that up ten years later, in 1915 with his general relativity theory, which pointed out how Newton got it wrong.


It's now 95 years later, and we're still trying to figure out what's wrong with Einstein's theory. We know he got it wrong, we just don't know what's wrong with it. So far, it's the second most successful scientific theory of all time.


The honor of being the single most successful theory ever elucidated goes to Darwin's theory of evolution by natural selection. On November 24, 1859, Charles Darwin turned the discipline of life science on its head by publishing a little tome entitled On the Origin of Species. It's now over 150 years later, and we still call it the "theory of evolution" despite its proven success. Scientists (the real scientists, not the pseudoscientists that creationists like to quote) realize that there's probably something wrong with it, but so far nobody's been able to get a whiff of what that might be.


In science, no statement is ever unequivocal. It's only the best idea we have at the time. So, if it's unequivocal, it's not science.


Why the Jobless Recovery Isn't

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Business cycles are driven by a feedback loop that commences with product demand.
Business cycles are driven by a macroeconomic feedback mechanism that has a multi-year cycle time. Employment is one of the last economic metrics to show recovery because the process starts with unmet demand for goods and services, and only ends with jobs.


In every economic downturn, Chicken-Little pundits squawk about how we can't have a sustainable recovery until employment figures show improvement. Any investor, and here I use the word "investor" in its broadest sense to include those who put resources to work, not just those who invest in stocks and bonds, who listens to this drivel is destined to fail, and fail disasterously.


Macroeconomics - the study of large-scale economic trends affecting an economy as a whole - is based feedback loops that drive business activity. These loops describe causal relationships between economic factors affecting business. For example, an increase in production levels generally pushes employment up. Each of these causal relationships involve a time delay. So, when production levels increase, especially from a depressed level, employment does not rise until production levels exceed capacity at the current employment level. This takes time, as does the process of hiring new employees.


These delays are what cause business cycles in the first place. If we use, say, buggywhip manufacture as a hypothetical example, we might say that it takes 18 months for the buggywhip business to respond to a sudden change in the overall demand for buggywhips. So, if New York City should pass a law banning motorized vehicles, so all the Yellow Cabs in the city had to be replaced by horse-drawn surries overnight, that would ratchet up demand for buggywhips. Because it takes 18 months for buggywhip manufacturers to respond, actual sales of buggywhips would not stabilize at a level reflecting the new demand until a year and a half later.


Business cycles occur because it is not possible for businesses to precisely meet demand. In the buggywhip example, assume that there are two buggywhip manufacturers in business at the time the New York law passes. They will both attempt to grab more than their fair share of the enormous new market. Part of driving sales is assuring customers that you can actually deliver the goods ordered. So, both manufacturers will expand production faster than necessary to just meet demand. In addition, during that first 18 months, it will be clear that the established manufacturers won't be able to meet demand. Outside entrepreneurs will see this as an opportunity to jump in to the expanding market, by starting rival buggywhip manufacturing operations.


The result is that some 18 months after the new law passes, worldwide buggywhip manufacturing capacity will greatly exceed demand. Inventories of unsold buggywhips will expand. Buggywhip prices will fall. Marginal buggywhip manufacturers will fail. Buggywhip production capacity will drop. By three years into the process, we'd be back to having inadequate production capacity to meet demand, and the whole thing would start over again.


Boom and bust cycles like that are not some aberration, or the result of faulty business strategies, or some market inefficiency that politicians can erase by passing laws, it's how things inevitably work. In fact, most complex systems, such as economies, consist of multiple such cycles that operate on multiple time scales. Basically, they're all chaotic systems, which is why long term charts of practically every economic indicator - from long-term jobs trends to prices for individual stocks - look like profiles of the Andes Mountains. They're all fractals, which is the pattern most often associated with chaotic systems.


Economic expansions, recessions, depressions, and recoveries are actually just business-cycle components. As any Taoist sage could tell you, whenever the economy is expanding, you know that a contraction is on its way. Similarly, a depression always presages a recovery. It's inevitable. The Great Depression of the 1930s was, when looked at from a longer perspective, just a particularly deep bottom of the overall business cycle. The huge expansion we experienced during the 1990s was, conversely, a particularly robust phase of the overall business cycle.


This latest contraction, which started about 2005, and will probably not completely play out until 2015, was another particularly nasty dip in the more or less regular cycle. It's as inevitable as the tide.


So, getting back to jobs data, and the usual panicky predictions of a so-called "jobless recovery," the reason employment data have not significantly improved is that it's just too early in the process for it to show up. Those who ask: "How can sales recover when employment is down?" simply don't understand how the business cycle works. Sales aren't driven by jobs, it's the other way around, with a significant time lag between.


Jobs are driven by production requirements. As any industrial engineer could tell you, production is driven by inventories, not by demand. Demand is an intangible that is very difficult to predict or measure. Inventory levels, on the other hand, are easily measured and better reflect a company's ability to sell the products it makes.


In the real business world, the first thing to recover after a recession is demand. It begins to recover when end users have had their belts cinched so tight for so long, that they have no choice but to by new stuff. Demand for food starts to rise, for example, when pantries start to look bare. It makes no difference whether the family bread-winner has a job or not, when there's nothing for dinner, somebody makes a run to the store. Even if you have to beg a cup of sugar from the neighbors, that sends the neighbors off to the store for more sugar, increasing the demand for sugar. Therein lies the disconnect between jobs and demand.


Demand seems to have hit bottom about six months ago. Since then, we've been working off inventory that built up at the start of the downturn, when production still exceeded demand. Next, production has to rise (pulled by further increases in demand) until it exceeds capacity at the present depressed employment levels. Only then will employment figures begin to rise.


Don't look for employment metrics to turn up until at least the end of the first quarter 2010. The reason it hasn't happened yet is that it's just too darn early.


Automation Industry Outlook Provides Holiday Cheer

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Survey Results
With the global economy generally in recovery mode, nearly half of respondents to a survey conducted by Control Engineering magazine in partnership with Morgan Stanley expect sales of industrial automation equipment to increase in 2010 Source: Control Engineering.


Over the next week or so, I hope to share with you results of studies pointing the directions we can expect technology trends likely will take next year, and in the decade ahead. The good news for Americans, and for many national economies around the world, is that the recovery is exactly on track. Yammering about "jobless recovery" and doubts over the U.S. economy's ability to expand until full employment returns simply demonstrate the commentators' ignorance of how economies work.


Garden variety depressions, which is what we've experienced over the past five years, take many years to play out. Calendar year 2008 saw the acute contraction phase, but things had been unraveling since late 2005. After a contraction, comes a bottoming, followed by an expansion phase.


Economic recoveries - that is the bottoming and expansion phases of a dip in economic activity - start with stock markets, which anticipate the turn around in general economic conditions by some months. The reason stock markets anticipate recoveries is that investment professionals, unlike media commentators, do understand economics, and recognize harbingers of business improvement long before the improvement happens. Just as meteorologists know that when days start getting longer, Spring is just a few months away, investors know that economic harbingers, such as inventory levels stabilizing at high levels, pre-announce changes in economic trends by several months, and stock prices rise as these investors put themselves in a position to capitalize on the new trend.


After stock prices hit bottom and begin to rise, we start seeing signs that the downward pressure on business activity begins to ease off. High inventory levels, for example, begin to drop. Productivity begins to rise as businesses streamline to cut costs. Later, these more efficient businesses begin reporting better than anticipated earnings on still-falling revenue. Still months later, revenues begin to rise as individuals and businesses can no longer put off purchases that have been delayed since the beginning of the downturn. More months later, employment figures, which conventional wisdom seems to think should lead the recovery despite the fact that it never happens, begin to recover as the productivity gains of a few months ago prove insufficient to meet the growing demand for goods and services. Finally, very late in the recovery, large capital investments, such as in real estate, reach their bottoms and start to recover.


At present, the U.S. economy, as well as that of most of the world, is recovering nicely. Trends in measures like corporate earnings are showing the correct patterns in the correct order and with the anticipated timing. Even the jobless numbers are tracking exactly as they're supposed to. Back at the end of 2008, when the depth of the dip became apparent, knowledgeable pundits were able to predict that the unemployment rate would reach just above 10%, which is just what it did, and begin to recover in late 2009, which it also has done.


By the way, don't listen to all that emotional drivel about some fictional "real" unemployment rate being something like 18% instead of the published 10% level. "The unemployment rate" is a real, clearly defined metric that we use to compare one time period with another. The "real unemployment rate" that Chicken-Little types yammer on about is poorly defined and very difficult to measure, so it's useless as an economic metric. It's only use is to give fear merchants something to shoot their mouths off about to their poorly educated audiences.


One extremely useful metric that can provide prescience about general industrial trends is expectations among industrial automation buyers and sellers about their purchases and sales (respectively) in the coming year.


To determine whether the market for industrial automation equipment was beginning to ascend from the depths of this latest downturn, or were destined to remain mired in the muck at the bottom of the pit for awhile longer, our friends at Control Engineering magazine in partnership with analysts at financial services leader Morgan Stanley surveyed participants in the industrial automation market. The reason to look especially at sentiment in this market is that factory automation is arguably the most important trend in industrial technology of the late 20th and early 21st Centuries.


Early in the 20th Century, factory automation was generally non-existent. We (or more accurately, our ancestors) simply did not have the tools available to automate production facilities in any meaningful way.


By the middle of the 21st Century, on the other hand, we anticipate that factories will run essentially fully automatically. That is, there will be no production tasks that are not done by automated machinery. Humans will generally hold supervisory positions. There will be CEOs, managers, engineers, maintenance technicians, and such like, but the population of assembly line workers, for example, will drop to more or less nil.


So, unlike the situation a few decades ago, perhaps the best measure of industrial activity available at the start of the second decade of this century is the level of activity in the industrial automation sector. That is what the survey set out to study, and that is why it's the first thing we looking at as we peer into our crystal ball.


"I'm happy to report that the survey does, indeed, offer more than few rays of hope," wrote David Greenfield, Control Engineering's editorial director, when reporting the survey findings in his article entitled 2010 Global Automation Industry Outlook. "Overall, the findings appear to indicate that a bottom in the market has been reached, pricing is holding firm, and that customers remain loyal - all positive signs for global automation players."


Greenfield cited four key findings of the survey:

1. The automation market has already bottomed; modest growth will return in 2010;

2. There is no evidence of a price war in automation equipment;

3. There is limited differentiation between the spending outlooks for process versus discrete industries;

4. While highly cyclical, automation is a good business to invest in over the long term.


It is important to note that the second finding belies the fear that inflation might be a an immediate threat. Despite concerns over accommodative monetary policies around the world, this survey shows no sign of inflation's return in the immediate future. It's axiomatic that for inflation to appear, prices must rise. This survey of a significant sector of the economy shows no hint of rapidly rising prices.


Greenfield pointed out that the near-term trend in demand for automation equipment appears brighter than it did in early in 2009 because of the percentage of respondents expecting demand to increase, more budgets going up or staying level versus retreating, and increasing demand to replace aging equipment. In addition, pricing appears to be stabilizing in the near term. Few respondents expect to see prices fall, but neither are they expecting out-of-the-ordinary upward price moves by suppliers to help offset losses in the past year.


These results are exactly what we would expect at this stage of the present economic recovery. Pundits prophesying a double dip, an L-shaped recovery, or any similar pattern find no support for their views in this important economic indicator.


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