Ever have trouble finding the perfect pair of jeans?  Some links I found:

Custom Jeans:

http://www.makeyourownjeans.com/index.php?main_page=index&cPath=8

http://www.indidenim.com/oo/navigation/landing

Interesting jeans collections:

http://www.couturecandy.com/

http://www.drjays.com/

http://www.zimbio.com/Fashion+Dos+and+Don%27ts/articles/466/Fashion+Newsflash+Jeans+Fab+Fit+Curvy+Girls

http://www.jeans.com/shop/search.lasso?Dept=WOMEN&Cat=Red%20Engine&gclid=COyfmd7CrZ8CFSgVagodFUwG1A

http://www.zappos.com/jeans

http://www5.jcpenney.com/jcp/X6.aspx?GrpTyp=SIZ&ItemID=16ae34d&RefPage=X6&deptID=50434&catID=72136&cmOrigID=16ae2ca&cmPosID=3&CmCatId=50434|50439|72136

http://www.ronherman.com/product/womens-denim/17134/j-brand-legging-jean-in-olympia.html

http://www.redbookmag.com/beauty-fashion/tips-advice/best-jeans-yl

http://www.denim.in.th/Curvy-hips-and-a-Booty-Figure.html

http://www.zafu.com/zafu/jeansGuideDownload.do?method=JGD_PAGE_SINGLE

http://www.jeans.com/Blogs/Womens%20Jeans%20Fit%20Guide.lasso

http://hubpages.com/hub/The-best-jeans-for-your-shape

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http://countrystudies.us/united-states/weather/California/mountain-view.htm

Mountain View Weather

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Avg. High 56° 60° 62° 66° 68° 74° 76° 76° 76° 72° 64° 57°
Avg. Low 41° 44° 46° 48° 52° 55° 57° 58° 57° 54° 47° 41°
Mean 48° 54° 55° 58° 61° 65° 67° 67° 67° 64° 56° 48°
Avg. Precip. 2.7 in 2.1 in 2.1 in 1.1 in 0.3 in 0.1 in 0.0 in 0.1 in 0.3 in 0.9 in 2.1 in 2.0 in

Degrees in Fahrenheit

http://countrystudies.us/united-states/weather/California/santa-barbara.htm

Santa Barbara Weather

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Avg. High 64° 64° 65° 67° 68° 71° 74° 75° 75° 74° 68° 64°
Avg. Low 40° 44° 45° 47° 50° 54° 56° 58° 56° 51° 44° 40°
Mean 52° 54° 55° 57° 58° 62° 65° 67° 66° 62° 57° 52°
Avg. Precip. 3.3 in 3.6 in 2.8 in 1.1 in 0.3 in 0.0 in 0.0 in 0.1 in 0.5 in 0.5 in 2.0 in 2.3 in

Degrees in Fahrenheit

http://countrystudies.us/united-states/weather/virginia/sterling.htm

Sterling Weather

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Avg. High 40° 44° 54° 65° 74° 82° 87° 85° 78° 67° 56° 45°
Avg. Low 21° 24° 31° 40° 50° 58° 64° 62° 55° 42° 34° 25°
Mean 31° 34° 44° 54° 62° 71° 76° 74° 67° 55° 45° 35°
Avg. Precip. 2.7 in 2.8 in 3.3 in 3.1 in 4.0 in 3.9 in 3.5 in 3.9 in 3.4 in 3.3 in 3.3 in 3.3 in

Degrees in Fahrenheit

http://countrystudies.us/united-states/weather/ohio/dayton.htm

Dayton Weather

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Avg. High 34° 38° 50° 61° 72° 81° 84° 84° 76° 64° 51° 38°
Avg. Low 17° 20° 31° 40° 51° 58° 64° 61° 55° 44° 34° 24°
Mean 26° 28° 41° 51° 62° 70° 74° 72° 66° 54° 44° 32°
Avg. Precip. 2.1 in 2.3 in 3.4 in 3.5 in 3.9 in 3.8 in 3.5 in 3.3 in 2.5 in 2.5 in 3.1 in 2.9 in

Degrees in Fahrenheit

http://countrystudies.us/united-states/weather/hawaii/honolulu.htm

Honolulu Weather

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Avg. High 80° 80° 81° 82° 84° 86° 87° 88° 88° 86° 84° 81°
Avg. Low 65° 65° 67° 68° 70° 72° 74° 74° 74° 72° 70° 66°
Mean 74° 74° 75° 76° 78° 78° 80° 81° 81° 80° 77° 74°
Avg. Precip. 3.6 in 2.3 in 2.3 in 1.5 in 1.1 in 0.5 in 0.6 in 0.4 in 0.8 in 2.3 in 3.0 in 3.8 in

Degrees in Fahrenheit


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Jeff Bone wrote:
>
> Right on. Hanson’s one smart cookie. ;-) (Always have thought that, of course.)
>
> –
>
> http://www.overcomingbias.com/2010/01/helpful-inequality.html
>
> Helpful Inequality
>
> By Robin Hanson · January 10, 2010 11:00 am · Discuss · « Prev · Next »
> We find significant and sizeable negative peer effects arising from students at the very bottom of the ability distribution, but little evidence that the average peer quality and the very top peers significantly affect pupils’ academic achievements.
>
> More here. Thus we’d probably do better to isolate the worst kids in their own school or work hell; they’d be worse off but the gains to other students would more than compensate.

From a social and cultural point of view, mixed in with rule breaking and exploration in High School, this makes a lot of sense. Hard to arrange it just so, but possible. Right now, most communities either force everyone together or have a cliff where kids are thrown off of into the pit of the “other” school. The nature and quality of the “other” options is what separates good districts from bad districts, but few or none do it right yet. Ideally, you need to keep fluidity so that one false move or bad quarter doesn’t doom you to the dungeon. As long as there is rapid mobility between realms, it is a great idea. Unfortunately, often the insidious things start small and aren’t clearly a problem until long after they have become infused in a clique. Making negative effects of attitude, habits, and choices apparent much sooner would be very good. Feedback loops longer than a few weeks are useless to a large chunk of teenagers. And any extremely discontinuous penalties lead to fatalism in some significant subgroup.

> At the other end of the status spectrum, the number of new businesses we get seems limited by the number of folks personally wealthy enough to start new businesses. So having more really rich folks benefits everyone via innovation. Detailshere:
>
> Since richer entrepreneurs make larger investments and expect to have more wealth in the future, it is the relatively poor entrepreneurs who decide to take more risk and would be more likely to exit from business in the future. As a result, the model predicts that survival of entrepreneurial business is positively related to entrepreneurial assets, which is consistent with empirical findings. … Since agents enter entrepreneurship with relatively low wealth levels, our model also implies that young businesses exhibit lower survival rates, and, conditional on survival, small (younger) firms grow faster than larger (older) ones. All these implications are in line with strong empirical evidence from the literature on firm dynamics.

The problem is that many with wealth aren’t A) adventurous and B) don’t feel enough social responsibility to start businesses or otherwise directly foster the creative engines. Many have been convinced that they are doing that by investing in the stock market or some other indirect feeding of the Big Business Machine. I feel that, in the average case, that is exactly like thinking that you are directly helping the homeless guy you saw today by paying more Federal taxes.

I firmly feel it is my responsibility to, after doing as well as I can with my children and significant others, to use my skills to A) do the most good and, given A, B) make the most money so that I can find new ways to do or help other people do A. Having wealth creates a responsibility to perform at least as much as having high ability. Being neutral or negative in effect on the world is the only real sin there is.

For any wealthy individuals who truly pursue and directly support entrepreneurialism in a consistent and significant way, I would vote for zero taxes during those years they are cogent and active. When they are successful, I’d even vote for a rebate on some of the tax revenue they created (probably for some specific situations). For those hoarding and riding their wealth, I would double their taxes (or something along those lines). I totally applaud the former and despise, to some degree, the latter. And I despise societies that make the former harder than it is naturally, often by directly protecting big business thereby enshrining reverse economies of scale out of fear or ignorance. (Japan perhaps? France probably — their socialistish environment for small businesses is onerous.)

On the relatively poor entrepreneurs starting businesses, they tend to disappear more often, however they are more driven and are able to take existential risks more to some extent.  Different businesses may require different types of actors for competitive success.

sdw
>
> I’m not saying these are the only issues for how much inequality we want, but they seem to me neglected issues.
>
> –
>
> jb

http://www.xent.com/pipermail/fork/Week-of-Mon-20100111/055141.html

http://www.overcomingbias.com/2010/01/helpful-inequality.html#comment-440432

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I think that’s the name that will stick.

Internet bubble bursts in 2000/2001
The most bubble-headed politician/crony period in a long time
The Enron / California energy bubble
Housing bubble
Banking bubble
Wall street bubble
The Oil bubble

Even “Bubble 9″ and “the Bubbles” flow well enough.

sdw

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Twas the night before Christmas

By: Stephen D. Williams, 2009/12/30

Twas the night before Christmas, when all through the house
Not a creature was stirring, except my son’s mouse.
Stockings were hung by running shoes with care,
In hopes that a long run soon would be there.

My honey was nestled all snug in her bed,
While visions of sugar-plums danced in her head.
And her in her nightgown, and I with my map,
Had just settled down for a long winter’s nap.

When out on the net there arose such a chatter,
That I sprang from my chair to avoid getting fatter.
Away from the browser I flew like a flash,
Tore open the door and got ready to dash.

A clear starry sky and a bright moon glow,
Gave the lustre of mid-day to the objects below.
When, what to my wondering eyes should appear,
But a wide open road, and everything was clear!

If I didn’t go out and be lively and quick,
I knew pretty soon I’d look like St. Nick.
More rapid than eagles, landmarks whizzed past,
The wind whistled, steps sounded, I must be going fast!

Now dash by the fence, running down Middlefield!
On toward Moffet, where the hill is a shield!
To the top of the gorge, to the top of the wall!
Now dash by NASA, fly by the Googleplex all!

As dry leaves that before the wild hurricane fly,
When they meet with an obstacle, mount to the sky.
So up to the overpass my feet they flew,
With Camelback full of Gatorade, and GPS too.

And then, in a twinkling, I heard down the street,
The prancing and echos of each dozen feet.
As I turned my head, and was looking around,
Nowhere in the dark was St. Nicholas found.

I was dressed all in gear, from my head to my feet,
Clothes to impress any runner I meet.
A bundle of toys I had flung on my back,
And I looked like a runner, stuff bulging from my pack.

The stars – how they twinkled!  The Yule lights, how merry!
My cheeks were like roses, my nose like a cherry!
My big drooling mouth was drawn up like a grin,
And the beard on my chin was just breaking the skin.

Stem of the Camelback held tight in my teeth,
Steam from my breath encircled my head like a wreath.
I had a cold face and a little round belly,
That shook with each stride, like a bowlful of jelly!

I was chubby and plump, a right jolly old harrier,
And I laughed when I thought of it, all the more merrier.
A blink of the watch, and a twist of my head,
Soon let me know I had nothing to dread.

I spoke not a word, but went straight to my work,
Passing the miles without a hitch or a jerk.
And while running for fun to see how it goes,
I was happy to PR by the tip of my nose.

Birds sprang to the Bay, dark loud missiles,
And I got to the finish with wheezes and whistles.
Having given myself a present in time, warm home again was a wonderful sight,
Writing while running, I’m happy to say: “Happy Run Mas! to all, and to all a good-night!”

Conceived and partially written on an evening 13.1 mile run on Christmas Eve in Mountain View, CA on Steven’s Creek Trail.

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This is my central publishing site.

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