State Of The Blogosphere: Get To 100K Uniques, Make $75K/year
Technorati, the blog search engine, put out Part I of its sporadic (now-annual?) State of the Blogosphere report this week. This year, it conducted a random survey of 1,079 random bloggers (a statistically significant sample) to paint a more detailed picture of just who exactly is out there blogging. Technorati has indexed a total of 133 million blogs since 2002. In terms of how many are active, 7.5 million blogs have added a new post during the last four months, and 1.5 million have been updated during the last week.
And the average blog that runs ads, according to Technorati, is actually making money:
Among those with advertising, the mean annual investment in their blog is $1,800, but it’s paying off. The mean annual revenue is $6,000 with $75K+ in revenue for those with 100,000 or more unique visitors per month.
The $6,000 a year I can believe. The $75,000 figure is harder to swallow, especially with only 100,000 visitors a month. But directionally there is no doubt that blogs are bringing in more cash.
Who are these bloggers? Technorati breaks that down as well. The vast majority of all bloggers (79 percent) write about their personal interests. No surprise there.
But more than half of all bloggers also write about business. While only 12 percent identify themselves as official “corporate bloggers,” a full 46 percent consider themselves “professional bloggers” (meaning that they write about their industries, but not in an official capacity).
Blogs are also mostly a male affair: 57 percent in the U.S. are written by men, 42 percent went to graduate school, and 50 percent earn more than $75,000 a year, and 58 percent are over 35 years old. (Someone call the diversity police).
More than half have a separate full time job. More than half of survey respondents have been blogging for more than two years.Geographically, North America dominates, with 48 percent of respondents living here. San Francisco and the Bay Area has the most bloggers in the U.S., with New York City, Chicago, and LA also having a strong showing. Although, as the map below shows, the geographic distribution is actually pretty wide.
And blogs continue to be read: blogs in the aggregate now attract 77.7 million unique U.S. visitors per month according to Comscore, nearly double the number of people who visit Facebook.
This is just the first day of the report, so get ready for a lot of data over the next four days. Read full By Erick Schonfeld on Technorati
Stanford offers free CS, robotics courses
Stanford University has launched a series of 10 free, online computer science (CS) and electrical engineering courses. The courses span an introduction to computer science and an introduction to artificial intelligence and robotics, among other topics.
The free courses are being offered “to students and educators around the world” under the auspices of Stanford Engineering Everywhere (SEE). Each course comprises downloadable video lectures, handouts, assignments, exams, and transcripts.
The courses are nearly identical to what’s offered to enrolled Stanford students, according to the University. However, those taking courses through SEE are not eligible to receive Stanford credit for them.
Course participants do not register, and have no direct contact with Stanford instructors or professors. They do, however, have the ability to communicate online with other SEE students. A detailed SEE FAQ is available here.
The University says SEE’s initial courses include “one of Stanford’s most popular engineering sequences: the three-course Introduction to Computer Science taken by the majority of Stanford undergraduates, and seven more advanced courses in artificial intelligence and electrical engineering.”
Specifically, SEE’s first 10 courses are…
- Introduction to Computer Science:
- Programming Methodology — CS106A
- Programming Abstractions — CS106B
- Programming Paradigms — CS107
- Artificial Intelligence:
- Introduction to Robotics — CS223A
- Natural Language Processing — CS224N
- Machine Learning — CS229
- Linear Systems and Optimization:
- The Fourier Transform and its Applications — EE261
- Introduction to Linear Dynamical Systems — EE263
- Convex Optimization I — EE364A
- Convex Optimization II — EE364B