Uncategorized


Wiki link: http://en.wikipedia.org/wiki/Guy_Kawasaki

Technically he’s not a Googler as he is a Motorola advisor (to none other than the CEO). His Facebook announcement on March 1st linked from Wikipedia is curiously missing, but I did find a post on his timeline about the jump.

I learned about his blog years ago, though I had never used a Mac before I got a MacBook Pro on my first day at Google. I stopped reading in a short while as I couldn’t keep up, but I do remember his 10/20/30 rule for presentation.

Even though he left Apple almost a century ago, I think he was still known for the “Apple Evangelist”, so this seems like a nice coup. But he’s been championing Google stuff for a while, e.g. saying G+ is as special as Mac, so it could again be just my ignorance.

Advertisements

From Hungry Ghosts By Jasper Becker, False Science False Promises:

China also experienced major setbacks when she tried to mass produce and use machinery based on impractical designs. … Another was a special Soviet plough designed for deep ploughing. The Chinese version, the double-share plough, cost ten times as much as a traditional plough but proved unsuitable for the terraces and paddy fields of southern China: 700,000 had to be withdrawn from use and melted down again.

My parents were amazing namers. That’s so me: I cost a lot, and I’m unsuitable for my environment.

Recall me.

Boy am I glad I’m in!

Wall

Top 50 Quality of Life Cities (from here):

Rank 2009

Rank 2008

City

Country

Index 2009

Index 2008

1

2

VIENNA

AUSTRIA

108.6

107.9

2

1

ZURICH

SWITZERLAND

108

108

3

2

GENEVA

SWITZERLAND

107.9

107.9

4

4

VANCOUVER

CANADA

107.4

107.6

4

5

AUCKLAND

NEW ZEALAND

107.4

107.3

6

6

DUSSELDORF

GERMANY

107.2

107.2

7

7

MUNICH

GERMANY

107

107

8

7

FRANKFURT

GERMANY

106.8

107

9

9

BERN

SWITZERLAND

106.5

106.5

10

10

SYDNEY

AUSTRALIA

106.3

106.3

11

11

COPENHAGEN

DENMARK

106.2

106.2

12

12

WELLINGTON

NEW ZEALAND

105.9

105.8

13

13

AMSTERDAM

NETHERLANDS

105.7

105.7

14

14

BRUSSELS

BELGIUM

105.4

105.4

15

15

TORONTO

CANADA

105.3

105.3

16

19

OTTAWA

CANADA

105

104.7

16

16

BERLIN

GERMANY

105

105

18

17

MELBOURNE

AUSTRALIA

104.8

104.8

19

17

LUXEMBOURG

LUXEMBOURG

104.6

104.8

20

20

STOCKHOLM

SWEDEN

104.5

104.5

21

21

PERTH

AUSTRALIA

104.3

104.3

22

22

MONTREAL

CANADA

104.2

104.2

23

23

NURNBERG

GERMANY

104.1

104.1

24

24

OSLO

NORWAY

103.7

103.7

25

25

DUBLIN

IRELAND

103.6

103.5

26

32

SINGAPORE

SINGAPORE

103.5

102.9

26

25

CALGARY

CANADA

103.5

103.5

28

27

HAMBURG

GERMANY

103.4

103.4

29

28

HONOLULU, HI

UNITED STATES

103.1

103.1

30

29

SAN FRANCISCO, CA

UNITED STATES

103

103

30

29

HELSINKI

FINLAND

103

103

30

29

ADELAIDE

AUSTRALIA

103

103

33

32

PARIS

FRANCE

102.9

102.9

34

34

BRISBANE

AUSTRALIA

102.4

102.4

35

35

TOKYO

JAPAN

102.2

102.2

35

37

BOSTON, MA

UNITED STATES

102.2

101.8

37

36

LYON

FRANCE

101.9

101.9

38

38

YOKOHAMA

JAPAN

101.6

101.6

38

38

LONDON

UNITED KINGDOM

101.6

101.6

40

40

KOBE

JAPAN

100.9

100.9

41

41

MILAN

ITALY

100.8

100.8

42

48

PORTLAND, OR

UNITED STATES

100.6

100.2

42

42

BARCELONA

SPAIN

100.6

100.6

44

44

WASHINGTON, DC

UNITED STATES

100.3

100.3

44

44

OSAKA

JAPAN

100.3

100.3

44

44

LISBON

PORTUGAL

100.3

100.3

44

44

CHICAGO, IL

UNITED STATES

100.3

100.3

48

43

MADRID

SPAIN

100.2

100.5

49

49

NEW YORK CITY, NY

UNITED STATES

100

100

50

50

SEATTLE, WA

UNITED STATES

99.8

99.8

Can you spot the only one outside the Wall?

Scientific American quotes MIT Economist Andrew Lo:

“Economists suffer from a deep psychological disorder that I call ‘physics envy,’ ” Lo says. “We wish that 99 percent of economic behavior could be captured by three simple laws of nature. In fact, economists have 99 laws that capture 3 percent of behavior. Economics is a uniquely human endeavor and, as such, should be understood in the broader context of competition, mutation and natural selection—in other words, evolution.”

Make it the 100 law.

Nuvi’s usability is legendary. I haven’t used it, but as I research it, Garmin’s website is giving me a hint: I’ve never seen a comparison page that highlights the rows with differences and allows you to remove any row, though it’s trivial to implement. Hats off.

(I later learned that melamine ends with a “min” sound, but what the heck.)

‘Tis was a year of craziness
With all kinds of killing business
China had riot, earthquake, and melamine
Terror in Mumbai, and for the rest of the world: subprime

After in-Greenspan-we-trust there came Bernanke
A nice fella from a neighbor of Kentucky
Let’s pray he knows how to salvage our stock
Not as a drunk jockey riding backward in the derby

Mr. Hanky Panky we have a problem
Your alma mater has lost its emblem
Blankfein & Co. bring home no cookie this year
Bet they’re cursing your super-G slalom

You stretched your arms in March, but in September you waved your hands
Bear was saved in a trap, but no such luck for poor Lehman
Dick Fuld may have to sell his houses and paintings
‘Coz his fellow Streeters couldn’t make a stand

For two days his calls for Lewis fell on deaf’s ear
While Ken was smooching with Buzz Lightyear
Mr. Thain saved the Mother from vultures
But he still had to give up his $10m in tears

It sounded a lot when SocGen lost $7 billion
But its trader was a kitten compared to other hellions
Detroit begged for 15 while 85 went down AIG’s throat
But nothing tops TARP’s seven hundred thousand million

Citi didn’t get Wachovia, and my best friend was laid off
Among 50,000 others, after billions of write-off
Even the Oracle had a deal fell through
But his $5b doubled so he’s still better off

In market good and bad, Uncle Bernie delivers 12 percent
Until blue blood spilled from La Villehuchet’s hand
$50 billion over 20 years would make Mr. Ponzi proud
But that’s not what his sons and the SEC can comprehend

Spitzer the prosecuter got hookupped
Blagjo the reformer got phone-tapped
Bleeping golden turns into bleeping nothing
When the muddy basement got mopped

We got a historical president in Obama
Even though New Yorker paints him as Osama
2008 would’ve been a lot more crazier
If the American people had picked the Old Man and the Grandma
YOU BETCHA!!!

At a party you met someone. Here’s part of the small talk:

“Do you have any kids?”
“Yes, two.”
“Boys? Girls?”
“One of them is a girl.”

What are the odds that the other child is a boy?

I still have a hard time believing that it’s NOT 50-50.

Coding Horror asked the question and gave the answer as new year’s present. However, the “unfinished game” he gave as an example for the answer only confused more people, because the order (head then tail, or tail then head)is intuitively significant in the unfinished game, whereas order is intuitively UN-significant in the gender question.

I think it’s easier to understand it by asking a different question: If someone tells you s/he has two kids, and the older one is a girl…

The probability that the other one is a boy is a cold, hard 50%.

The answer is the same for this question: If someone tells you s/he has two kids, and the younger one is a girl…

It’s like seeing a little girl in a party, and someone besides her said “hi, this is my daughter Katie, she’s the older (or younger) sister.” Of course Katie either has a brother or a sister with 50-50 chance.

Now here’s the real tricky part, and that’s where the confusion comes from (I was confused again as I was writing this): in the same scenario, the parent said “hi, this is Katie, one of my two kids.”

Katie could have a younger or older brother, or a younger or older sister. So the odd IS STILL 50-50.

But that is NOT the original question.

The original question corresponds to this scenario instead:

At a party, you saw 2 girls and a boy playing together. Then someone said “one of those girls is mine, and her only sibling is also there”.

The key is you don’t know which girl the parent is talking about. His/her two kids can be girl A and girl B, girl A and boy, or girl B and boy. That’s why the odds for a boy is 2/3.

If instead s/he points to girl A and said “that’s one of my two kids”, then the answer is again 50%, because that eliminates one possibility.

It’s the same as this: if you saw 2 boys and a girl and someone said “my daughter is playing over there, and she has a sibling”. 50% boy.

My illustration isn’t perfect, though, as the answer depends on the group of kids you see. You get a different answer with a different composition. 3 girls and a boy: 50%. 2 girls and 2 boys: 80%.

In the original question, the parent is talking abstractly.

Next Page »