About four years ago, I published/posted a number of indices related to GrabPERF data. This is a re-launch of that, starting with the GrabPERF Search Performance Index.

The methodology of the Search Performance Index is straightforward: A number of key search providers are selected and HTTP GET requests are sent that directly pull the results page of a query page that is searching for ‘New York’.

This is a simple process and one that is a close approximation of the actual search process that hundreds of millions of people perform every day.

alias                       Response Time  Success  Attempts  Success Rate
--------------------------  -------------  -------  --------  ------------
SEARCH - Google Blogsearch      0.2822545    27242     27244       99.9927
SEARCH - Google                 0.3151932    27228     27247       99.9303
SEARCH - Live (Microsoft)       0.3840097    27245     27246       99.9963
SEARCH - Indeed                 0.4112960    27240     27241       99.9963
SEARCH - Yahoo                  0.4574381    24175     24175      100.0000
SEARCH - Altavista              0.4592764    23922     23922      100.0000
SEARCH - Cuil                   0.6757475    23963     23967       99.9833
SEARCH - AOL                    0.7822945    23913     23913      100.0000
SEARCH - Ask                    0.9025220    24157     24163       99.9752
SEARCH - Technorati             0.9053472    27219     27234       99.9449
SEARCH - Amazon                 1.3251402    27245     27251       99.9780
SEARCH - Baidu                  1.7409345    23777     23799       99.9076
SEARCH - Blogdigger             1.8960633    25106     26354       95.2645
SEARCH - BlogLines              2.0238809    27233     27248       99.9450
SEARCH - IceRocket              2.1233684    24147     24177       99.8759
SEARCH - Blogpulse              2.4144131    27019     27247       99.1632

As can be seen in the data, there is a substantial degree of difference in the response time results, but the big three search providers (Google, Yahoo, and Microsoft Live) were in the top five. As well, all but three of the providers (Blogdigger, IceRocket and Blogpulse) had success rates (availability) of 99.9% or higher.

I don’t expect to see much in the way of change in these results, but I will post them for comparison each week.

Dave Winer notes that Silicon Valley isn’t what it used to be. [here]

Now, with Yahoo getting its mojo back [here and here], and a few other happenings in the Valley, there are some signs of life.

But there is still a lot of vacant real-estate. The office buildings that housed Webvan are still vacant after 3 years, and they have a great view of the Bay and the San Mateo bridge. There is still a vacuum there.

I can’t speak of the lap dogs, as I am a mere prole.

However, I do disagree with the comment Dave W. makes about schools. If he is referring to Colleges and Universities, ok, I agree. But the public school system in the Bay area, and in California in general, is one of the reasons why I was not too upset to move to Massachusetts.

My kids were going into the highly underfunded, if not malnourished and dying, system of non-education in California that resulted from one of the greatest breeders of inequity in the modern world — Proposition 13.

I love this statement from Warren Buffett:

Buffett cited the inequity of property taxes he pays on his homes in Omaha, Neb., and Laguna Beach, Calif., and said the California cap on property taxes imposed by Prop. 13 “makes no sense.”

His $500,000 house in Omaha has a tax bill of $14,401. His $4 million house in Laguna Beach has a tax bill of $2,264. The taxes on his Omaha home increased $1,920 this year, compared with $23 on the Laguna Beach home, he said.

Complain about the other taxes; then remember that your kids are going to schools that are 40^th in the US by funding.

I miss the great garden we had. But my kids are learning more by not being in California Public Schools.