July 13, 2006

Why every single person will be a millionaire by 2100 (and why we should care)

I wrote that every single person in the world in 2100 will be a millionaire (in year 2000 dollars) because if the wealthier people in 2100, “…give only 2 percent of their lifetime income to charity, that means even the poorest people would be able to get a couple million dollars.”

Andrew Reynolds writes about my analysis:  “Not quite correct. It really depends on the standard deviation of income. Personally, I believe that the deviation will reduce, so that your analysis is pessimistic. But I know others would argue otherwise. Do you have any justification for the need to only donate 2% of lifetime income?”

Oy vey.

You’re right that I was simplifying, because I didn’t want to take the time to do a careful analysis.  The amount of money we’re talking about here is so staggeringly large that there is no need to do any sophisticated analysis.

In 2100, let’s say there are 10 billion human beings…of the hydrocarbon variety, anyway.  If world per capita GDP is $10 million, and per capita income is 75% of that, or $7.5 million, the total world income in 2100 is 10 billion times 7.5 million, or an absolutely staggering 75 QUADRILLION dollars.  Let’s take 2 percent of just that *one year.*  That would be $75 quadrillion times 0.02, or $1.5 quadrillion of charitable giving.  To put it in more appropriate scientific notation (since it’s so staggeringly large) we’re talking about charitable giving in ONE YEAR of $1.5 x 10^15.  Divide the amount for that ONE YEAR among 10 billion people, and you have…

$1.5 x 10^15 divided by 10 x 10^9 people =  $150,000/recipient for that one year.

So even if that 75 quadrillion was earned by a SINGLE PERSON, and every one of the other 10 billion people earned ZERO income, that ONE person could afford to give a mere 2 percent of his income from that ONE YEAR, and everyone else in the world would get $150,000 in that year.  If he did that for 6.3 years, they’d have earned $1 million.  That wouldn’t make them millionaires, but if they spent their money wisely, they’d be close.

Let’s do a slightly more realistic, but still incredibly conservative analysis.  Suppose that single person who earned the $75 QUADRILLION gave away 20% of his income that year, instead of only 2%.  (After all, what does one person need with even $60 quadrillion in one year?!)  Then, every person in the world would have an income that year of $1.5 million.  If they saved 66 percent of that, they’d be millionaires, from that *one year.*

To do an even more realistic analysis—though one shouldn’t be needed at this point—currently, the lowest 40 percent of the world’s population earns only 5% of the world’s income.  In today’s terms, that means that about 2.5 billion people earn about $1.6 trillion, or an average of $640 per person (about $2 a day).

Global policy.org analysis of income inequality in the world

Let’s say that in 2100, that same situation holds true…the lowest 40 percent earns 5% of the world income.  That would mean that in 2100, about 4.0 billion of the world’s poorest people would earn about $3.75 QUADRILLION, or an average of $938,000 (that’s 938 THOUSAND) dollars per year!  (And that’s without any charitable giving from the richer people at all.)   THAT’S why every single person in the world in 2100 is going to be a millionaire. 

The point of this whole analysis is that the numbers are so staggeringly large, that no real analysis is needed.  ;-)

Once again, Thomas Schell’s comment that, “…the descendants of today’s poor, who may be less poor than their parents, but are likely still to be poorer than those in today’s rich countries…” is wrong. Wayyyyyyyyyyy wrong. 

And if his HUGE mistake is corrected, it completely obliterates any case that can be made for attempting to reduce CO2 emissions at present or in the next few decades.

July 11, 2006

How I'd solve the world's energy problems...if only I had $10 billion

Regular readers of Random Thoughts will know that I predict spectacular economic growth in the 21st century.  The largest part of that is due to progress in computers (which I agree with Ray Kurzweil will equal and then vastly exceed the capacity of the human mind).

But another part of that probably spectacular economic growth is that money makes money.   For example, the Bill and Melinda Gates Foundation has about  $30 billion.  Why, if I had only 1/3rd that amount, I could solve the world's energy problems myself!  :-)

How would I do it?  Three words..."technology inducement prizes."  Probably the most famous technology inducement prize was the Ansari X Prize, given to the first private entities to put astronauts into space. 

What technologies would I choose?  Three technologies:

1)  Non-tokamak fusion,
2)  Photovoltaics, and
3)  Methane hydrates. 

My reasoning is as follows:

1)  Non-Tokamak Fusion:  There is almost no doubt in my mind that controlled fusion is where energy technology will eventually end up.   I was at a scientific/technical conference recently, where the subject was the future of energy technology.  There was essentially universal agreement that energy technology would eventually end up at either solar or nuclear.  Unfortunately, the "nuclear" was thought to be nuclear fission, which I don't agree is the final solution for energy problems.  In my mind, the "nuclear" is fusion.  On the other hand, tokamak fusion seems to be headed nowhere.  The latest tokamak device is the International Tokamak Experimental Reactor (ITER).  Talk about boondoggle to the nth power.  More than a decade to build (a single reactor), with years (or even decades) of experimentation to follow that.  What a mess.

2.  Photovoltaics:  The other technology I'd concentrate on is photovoltaics.  This is just in case the fusion thing doesn't work out.

3.  Methane Hydrates:  This is the third technology I'd concentrate on...just in the very unlikely event that both fusion and photovoltaics don't work out.

Note:  I'm publishing this now...but I'll be doing some more work later.

April 16, 2006

How the IPCC can scientifically establish probabilities

Over on Tim Lambert's Deltoid blog, "brokenlibrarian" wrote:

"I'm still waiting for an explanation how the likelihood of the various IPCC scenarios could be determined."

I replied, "I gave you an explanation on April 15, at 9:47 PM:"

"...world per capita CO2 emissions have been almost completely flat for the last 30 years. (At about 3.95 billion metric tons of CO2 per capita per year.)
It seems like that ought to give the IPCC a clue about where to start."
Since the world per-capita emissions have been almost EXACTLY 3.95 tons of CO2 per year for the last 30 years, the IPCC could easily start with that assumption going forward as their "50% probability" case.
In other words, take the "50% probability value" with the  worldwide emissions of CO2 in the next 20-30 years increasing at about the same rate as the world population increases (currently about 1.2% per year...but expected to drop below 0.7% per year by 2030).

Mark Bahner versus (calculated) IPCC TAR

Alternatively, one could use the linear regression line from Hans Erren's graph of April 15, 8:42 AM as the "50% probability value":

That would produce even lower emissions. 

Either method of analysis leads to the (correct) view that the "projections" in the IPCC TAR are pseudoscientific nonsense.

April 10, 2006

Complete set of predictions: Mark Bahner vs IPCC TAR

Previously, I published my predictions for lower tropospheric temperature increases, CO2 concentrations (ppm), industrial CO2 emissions (Gt as carbon), and methane atmospheric concentrations (ppb) versus those in the IPCC TAR.  Those previously published values were "50% probability" values. 

Note:  The IPCC TAR does not actually have probabilistic estimates.  Such estimates would be too scientific.  The way I developed the probabilistic estimates from the information in the IPCC TAR was to review a 2001 paper in Science by Wigley and Raper, and used the same basic method to develop "50% probability" for CO2 concentrations (ppm), industrial CO2 emissions (Gt as carbon), and methane atmospheric concentrations (ppb) from the IPCC TAR.  However, my basically eyeballing, rather than actually calculating log-mean values as was done for temperature by Wigley and Raper.

In any case, it's possible to do the same comparson for "5% probability" values and "95% probability" values...where "5% probability" means there is a 5% chance that the value will be lower than the stated value, and "95% probability" means there a 95% chance that the value will be lower than the stated value.  Here are the resultant values for my predictions versus the IPCC:

Table 1.  Temperature Increase Versus the Year 1990, in Degrees Celsius.

Year

IPCC Projections

Mark Bahner Projections

5% Probability

50% Probability

95% Probability

5% Probability

50% Probability

95% Probability

1990

0.00

0.00

0.00

0.00

0.00

0.00

2000

0.09

0.16

0.21

0.00

0.08

0.15

2010

0.20

0.34

0.45

0.01

0.18

0.30

2020

0.32

0.55

0.80

0.02

0.27

0.50

2030

0.48

0.80

1.17

0.02

0.36

0.75

2040

0.62

1.10

1.60

0.02

0.46

0.95

2050

0.85

1.42

2.25

0.02

0.58

1.20

2060

1.05

1.75

2.75

0.02

0.70

1.50

2070

1.29

2.17

3.34

0.02

0.82

1.75

2080

1.43

2.45

3.90

0.02

0.94

2.00

2090

1.54

2.70

4.40

0.02

1.05

2.25

2100

1.68

3.06

4.87

0.02

1.20

2.45

Table 2.  Atmospheric CO2 Concentrations, ppm.

Year

IPCC Projections

Mark Bahner Projections

5% Probability

50% Probability

95% Probability

5% Probability

50% Probability

95% Probability

1990

354

354

354

354

354

354

2000

365

369

373

365

369

373

2010

385

385

390

380

385

390

2020

405

413

420

395

405

413

2030

425

438

455

410

425

435

2040

455

470

500

420

455

464

2050

480

515

560

430

477

495

2060

510

560

630

435

502

525

2070

535

610

700

440

527

554

2080

550

645

780

440

542

583

2090

560

685

870

440

552

610

2100

570

720

930

440

558

635

Table 2.  Industrial CO2 Emissions, Gigatonnes as Carbon.

Year

IPCC Projections

Mark Bahner Projections

5% Probability