Best of the Week
Most Popular
1. The Trump Stock Market Trap May Be Triggered - Barry_M_Ferguson
2.Why are Central Banks Buying Gold and Dumping Dollars? - Richard_Mills
3.US China War - Thucydides Trap and gold - Richard_Mills
4.Gold Price Trend Forcast to End September 2019 - Nadeem_Walayat
5.Money Saving Kids Gardening Growing Giant Sunflowers Summer Fun - Anika_Walayat
6.US Dollar Breakdown Begins, Gold Price to Bolt Higher - Jim_Willie_CB
7.INTEL (INTC) Stock Investing to Profit From AI Machine Learning Boom - Nadeem_Walayat
8.Will Google AI Kill Us? Man vs Machine Intelligence - N_Walayat
9.US Prepares for Currency War with China - Richard_Mills
10.Gold Price Epochal Breakout Will Not Be Negated by a Correction - Clive Maund
Last 7 days
British Pound GBP vs Brexit Chaos Timeline - 14th Sep 19
Recession 2020 Forecast : The New Risks & New Profits Of A Grand Experiment - 14th Sep 19
War Gaming the US-China Trade War - 14th Sep 19
Buying a Budgie, Parakeet for the First Time from a Pet Shop - Jollyes UK - 14th Sep 19
Crude Oil Price Setting Up For A Downside Price Rotation - 13th Sep 19
A “Looming” Recession Is a Gold Golden Opportunity - 13th Sep 19
Is 2019 Similar to 2007? What Does It Mean For Gold? - 13th Sep 19
How Did the Philippines Establish Itself as a World Leader in Call Centre Outsourcing? - 13th Sep 19
UK General Election Forecast 2019 - Betting Market Odds - 13th Sep 19
Energy Sector Reaches Key Low Point – Start Looking For The Next Move - 13th Sep 19
Weakening Shale Productivity "VERY Bullish" For Oil Prices - 13th Sep 19
Stock Market Dow to 38,000 by 2022 - 13th Sep 19 - readtheticker
Gold under NIRP? | Negative Interest Rates vs Bullion - 12th Sep 19
Land Rover Discovery Sport Brake Pads and Discs's Replace, Dealer Check and Cost - 12th Sep 19
Stock Market Crash Black Swan Event Set Up Sept 12th? - 12th Sep 19
Increased Pension Liabilities During the Coming Stock Market Crash - 12th Sep 19
Gold at Support: the Upcoming Move - 12th Sep 19
Precious Metals, US Dollar, Stocks – How It All Relates – Part II - 12th Sep 19
Boris Johnson's "Do or Die, Dead in a Ditch" Brexit Strategy - 11th Sep 19
Precious Metals, US Dollar: How It All Relates – Part I - 11th Sep 19
Bank of England’s Carney Delivers Dollar Shocker at Jackson Hole meeting - 11th Sep 19
Gold and Silver Wounded Animals, Indeed - 11th Sep 19
Boris Johnson a Crippled Prime Minister - 11th Sep 19
Gold Significant Correction Has Started - 11th Sep 19
Reasons To Follow Experienced Traders In Automated Trading - 11th Sep 19
Silver's Sharp Reaction Back - 11th Sep 19
2020 Will Be the Most Volatile Market Year in History - 11th Sep 19
Westminister BrExit Extreme Chaos Puts Britain into a Pre-Civil War State - 10th Sep 19
Gold to Correct as Stocks Rally - 10th Sep 19
Market Decline Will Lead To Pension Collapse, USD Devaluation, And NWO - 10th Sep 19
Stock Market Sector Rotation Giving Mixed Signals About The Future - 10th Sep 19
The Online Gaming Industry is Going Up - 10th Sep 19
The Unknown Tech Stock Transforming The Internet - 10th Sep 19
More Wall Street Propaganda - 10th Sep 19
Stock Market Price Structure Still Suggests We Are Within Volatile Rotation - 9th Sep 19
Stock Market Still Treading Water - 9th Sep 19
Buying Pullbacks in Silver & Gold - 9th Sep 19
Government Spending - The High Price of a "Free Lunch" - 9th Sep 19
Don't Worry About a Recession - 9th Sep 19
Large Drop in Stocks, Big Rally in Gold and Silver - 9th Sep 19
US Stock Market Hasn’t Cleared The Storm Yet - 8th Sep 19
Precious Metals Were Ripe for a Pullback - 8th Sep 19
Market Chart Patterns to Spot High-Confidence Trading Opportunities in a "Pinch"! - 8th Sep 19
Five Feet High And Rising - Stock Market Bulls False Sense of Security - 8th Sep 19

Market Oracle FREE Newsletter

The No1 Tech Stock for 2019

Figures Lie, Liars Figure, the Math of Mainstream Economists

Politics / Economic Statistics Oct 13, 2012 - 12:42 PM GMT

By: Bill_Bonner


Best Financial Markets Analysis ArticleWe also have a way to vastly increase US household income – the feds have only to spend more money! Just add zeros. How about that? The poor family has not a dime more in real, spendable income…but we’ve managed – by clever use of mathematics and economics – to double its income.

But that illustrates the nature of modern economics. It is all numbers…and none of them mean anything. And none means less than the zero.

I’ve always been especially suspicious of the zero. It is a number. But a number is ‘something.’ The zero, on the other hand, is supposed to represent nothing. Well, which is it? Something or nothing? Nothing, right? But how can something be nothing? You say you have zero tomatoes. And you tell me zero is a number, used for counting. But how can you count tomatoes that aren’t there? You’ve either got tomatoes or you don’t. Zero tomatoes is a contradiction. It’s oxymoronic.

And if the zero is actually nothing, how come you can put it after a number…and suddenly you have 10 times as much? Or, put it in front of a number…and you have 1/10 as much. How can nothing do all that?

Now if I have 3 tomatoes and I add zero tomatoes, I have done nothing. I still have three tomatoes. But if I multiply my 3 tomatoes by zero, suddenly, I don’t have any tomatoes. If zero is nothing, I want to know what happened to my tomatoes.

We didn’t have the zero for thousands of years. As far as I know, we got along fine without it.

Numbers are a trap for economists. They make it look like science, but it is not science. Far from it. Initial conditions can never been controlled or fully understood. Instead, they are infinitely complex. Nor can results be reproduced. Nor can hypotheses ever be disproven. That’s why economists can cling to dopey ideas for centuries – they can never be disproven.

Using numbers, economists pretend to tell you something they don’t really tell you, often something they can’t possibly tell you. The unemployment rate, for example.

The Bureau of Labor Statistics uses numbers like make-up. Put on enough of them, and you can make things look good…as long as you don’t look too closely. Behind every number is a wrinkle… Small numbers hide small ones. Big numbers hide big ones. A big number, such as the unemployment rate, has a Grand Canyon of wrinkles hidden behind it. There are the statistical adjustments…seasonal adjustments…and enough arbitrary definitions to make a corpse look good.

BLS says that 7.8% of the workforce is unemployed. Simple enough. But what does it mean? What’s the ‘workforce’? And what does it mean to be ‘unemployed’? Think of all those people who work for cash…like the Latinos you pick up at gas stations for day work. Are they unemployed? How about the guy who couldn’t find a job, so he went back to school? Is he unemployed? What about the housewife who would like to find a job…sort of…but isn’t actively looking for one? Are these people part of the workforce?

It’s obvious that you can change the assumptions a bit and change the reported unemployment rate a lot. When statistician John Williams looks at the US data, for example, he comes up with a real unemployment rate of 23% – almost as high as the jobless rate in Spain.

And yet, the BLS tells us that US unemployment is 7.8%. Not ‘around 8%.’ Not ‘less than one in ten.’ But 7.8% exactly. And yet, there are so many greasy assumptions lurking in the cracks of this number that it is not only completely unreliable and practically meaningless, it is the downside of mathematics. It pretends to tell you something…but once you have taken it in you know less than you did before, because what you think you know is largely a fraud.

The exact number of people who want a job and can’t get one is unknowable. It is unknowable because the people concerned don’t know it themselves. I saw a bum on the street in Baltimore the other day. He stopped me and asked if I could spare a dollar.

I said I couldn’t give him a dollar. “Free money could adversely affect your moral character development,” I explained.

Instead, I offered him a job. I had some work to do around the office; I thought I was doing him a favor. What do you think he said?

It begins with an “F”.

Now, should that man be counted as unemployed? He certainly didn’t have a job. But if you offer a job to most people…what will they say? They’ll reply – maybe. Because it depends on a lot of things that even they don’t have the answers to. How much will they be paid? How many holidays will they have? How far will they have to commute? Will they get health benefits?

And those are just the obvious questions. If you’re considering taking a job you also have to think… ‘What are my other options?’ ‘Could I make more without working?’

‘Maybe I should start my own business instead.’ Or, ‘Let me see if I can get on disability, first…’

That’s why the old economists thought it was absurd to try to calculate an unemployment rate. It was just an empty number. And it was even more absurd to try to ‘increase’ employment. As long as buyers and sellers of labor were both free to make a deal, there would never be any ‘unemployment.’ There would merely be people who, given the current bid, decided to withhold their labor from the market.

The old economists knew their limits…all they could do was describe the conditions under which people had jobs…and come up with some general rules and principles that explained why some people had jobs and others didn’t. But you could not say with any precision how many people were unemployed.

But today, economists tell us not only how many people are looking for work…but what to do so that more of them find jobs. How? The easy slight-of-hand would be to redefine what the workforce means…reduce the workforce and you automatically increase the employment rate. That’s what economists and their numbers can do for you. During the Obama administration a record number of people left the workforce, substantially lowering the unemployment rate.

But now if you want to get your face on the cover of TIME magazine as a hero of some sort, you’ve got to come up with some other, craftier subterfuge. How about this… Raise the taxes on overtime pay! This is exactly what Francois Hollande has done in France. He says it will increase employment. And he’s probably right. Because now it is more expensive to pay someone to work overtime than it is to hire someone new. So, with a little luck, the unemployment numbers may look better in France.

Is that good? Are people better off? Who knows? The numbers certainly don’t tell you.

In America, they’ve kept the jobless numbers down by lending people money to go to school. So, instead of people officially counted as unemployed….people are counted as students. They load them up with debt – student debt is now over $1 trillion. Now, when the young person finally gets out of school, his job prospects may still be uncertain, but his debt is undeniable. Is he better off? Is anyone better off? Has any improvement been wrought?

The numbers are not silent on the matter. They lie at the top of their voices.

Probably no numerical grease is thicker and less transparent than the GDP. There, the numbers dissemble and mislead, just like economists’ other numbers.

Here’s a story from The New York Post:

They take a limousine to McDonald’s, own his-and-her Segway scooters and have designed their new house with 23 bathrooms, each equipped with Jacuzzi tubs.

Time-share magnate David, 77, and his beauty-queen trophy wife, Jackie, 46, were already Orlando’s gaudiest couple when they decided to open their doors to filmmaker Lauren Greenfield as they broke ground on a 90,000-square-foot monster home with a 120-foot Grand Hall modeled after France’s Palace of Versailles.

It’s bigger than a 747-jet hanger. Designs include three swimming pools, 10 kitchens, a bowling alley, a skating rink and a garage that fits 20 cars. The home’s mahogany doors and windows alone cost $4 million.

“We never sought to build the biggest house in America,” Jackie says in the film, titled The Queen of Versailles. “It just happens.”

It has been described as tacky, trashy and tasteless, with the top three floors inspired by Las Vegas’ Paris Hotel.

Trashy? Tasteless? In 2012, the biggest house in America sat unfinished. It may never be finished.

But hey, it added to the GDP!

GDP numbers are a complete scam. They don’t tell you if you’re coming or going. They don’t tell you if you’re getting richer or poorer. This is another way that numbers fail. They can only measure quantity. Or speed. Here’s an example. An article ran in the Wall Street Journal last month. It explained how Italy’s economic growth was retarded by strong family attachments. Half the young children in Italy are raised by their grandparents – their ‘nonni’ – while their parents work. Instead of going to day care centers, the kids go to their grandparents.

How does this affect an economy? There is no exchange of money when the grandparents do the day care. So, it doesn’t register in the GDP. No exchange of money, no ‘growth.’ The article also went on to say that people were reluctant to leave their hometowns to seek work elsewhere because they relied on the family for childcare. Theoretically, a mobile population increases GDP too…GDP increases when people take new jobs, move, buy houses and furniture, sign up for health clubs, day care and so forth. All these things add to GDP growth, even though they do nothing to really increase quality of life. They are a kind of phony growth. GDP looks only at the quantity and velocity of money transactions, not the quality of them…nor the quality of life they produce…nor the real wealth of the people in an economy.

I cut your lawn. You mow my lawn. We pay each other. The GDP goes up. The more transactions per person per year – the greater the GDP of a country.

Is anybody better off? What really have the numbers told us? Has one single extra lawn been mowed? One single extra blade of grass cut down?

No, right? So, if a number…the GDP growth number…tells you that you’re growing…and you’re not really growing…what good is the number? It’s a flimflam. An empty number. There’s no good information in it. It’s like the unemployment number. Empty. Hollow. A zero. And so are almost all the compound, formula-driven numbers used by economists. They are dishonest. Their only role is to tart up economists’ confections and make it appear that they can do things they can’t really do. They are designed to make economics look like engineers, working on the economy as though they were real technicians preparing a moon launch.

But if these guys were building a bridge, none of us would want to drive over it. If they were building cars, we wouldn’t buy them. And if they were running the phone company, and we needed a telephone number, we could call “Directory Information;” they’d estimate it for us.

Bill Bonner
The Daily Reckoning

Bill Bonner [send him mail] is the author, with Addison Wiggin, of Financial Reckoning Day: Surviving the Soft Depression of The 21st Century and Empire of Debt: The Rise Of An Epic Financial Crisis and the co-author with Lila Rajiva of Mobs, Messiahs and Markets (Wiley, 2007).

    © 2012 Copyright The Daily Reckoning, Bill Bonner - All Rights Reserved
    Disclaimer: The above is a matter of opinion provided for general information purposes only and is not intended as investment advice. Information and analysis above are derived from sources and utilising methods believed to be reliable, but we cannot accept responsibility for any losses you may incur as a result of this analysis. Individuals should consult with their personal financial advisors.

© 2005-2019 - The Market Oracle is a FREE Daily Financial Markets Analysis & Forecasting online publication.

Post Comment

Only logged in users are allowed to post comments. Register/ Log in

6 Critical Money Making Rules