Chris Yeh has a great post on his blog on the virginity rates of students at Wellesey College categorized by major. definitely worth reading the post.
from the WSJ: Americans drove 4.3% less in March compared w last year — the first time driving has fallen in March since 1979
this is one of the best essays i have read in a LONG time. very timely and helpful:
Microtrends — The Small Forces Behind Tomorrow's Big Changes
By Mark Penn
Mark Penn, until recently the strategist and pollster for Senator Clinton's bid for President, wrote this gem of a book called Microtrends. i absolutely loved this book. the book detailed little trends that move markets and presidential elections. This book has great nuggets and is an easy read. I highly recommend this book.
Web sites are spending more than a quarter of their time fighting bad guys
Consumer Internet companies are spending more and more mindshare from the engineering and the executive teams to thwart bad guys, rather than actually improving their product. This is a really big problem. The Black Hat Tax is costing consumer Internet companies billions. And the cost of this tax, as a percentage, is much worse than what offline brick-and-mortar shops pay to invest in security and anti-fraud measures.
In May 2006, I made mention of the Black Hat Tax, in which most consumer Internet sites have an inherent time, resource, and mindshare tax of roughly 25% due to scamming, phishing, hacking, and government requests. And this drainage has gotten worse two years later which is extremely troubling.
A great example is PayPal. As PayPal matured, they fought an intense battle against fraudsters, one of the most consuming issues within the company. Now with PayPal being a legitimate financial institution, you expect lots of attempted fraud. But this is now the norm for most sites.
Companies in the dating or social networks space are increasingly spending their time thwarting bad guys. Dating sites, for instance, face an exorbitant number of scammers. The classic “my husband is beating me here in Moscow, please send $2000 so I can buy a plane ticket and escape” still ensnares many unsuspecting men. There are scam factories in the Philippines and other places that have thousands of people, paid on commission, working to rip-off unsuspecting dupes in this way. And while buyer beware should reign, caveat emptor is not in the lexicon of the barrage of customer service emails.
Spam is becoming increasingly common on social networks. I’ve received more MySpace friend requests from strippers and pornographers than real requests. In fact, MySpace just sued and won a $230 million judgment against some of the world’s biggest spammers. This is in addition to people actually hacking into your site (but that is a whole other cat-and-mouse game). Facebook, Twitter, and blog comments are also prime attractions for spammers.
All these little, annoying things consume time … and not just the time of customer service people, but time of the company’s executives and engineers as well. The Black Hat Tax exceeds 25% for most consumer Internet companies right now, with some approaching 40%. That means that 25% of your engineering and management time is about preventing fraud or dealing with these annoyances. That is one onerous tax!
In the side conversations at the Founders Brunches, it seems that all the attendants talk about is the black hat tax. One key item of note is invite/email deliverability. Many B2C companies go viral by convincing current users to upload their address books and email their friends. You can do all the viral tuning you want, but if your emails are getting blocked by someone’s spam filter, they are not going to see your genius. As a result, social network execs spend an inordinate amount of time on email deliverability.
Review sites like Yelp, Digg, and TripAdvisor have thousands of people trying to game the system. Better reviews on TripAdvisor can equate to hundreds of thousands of dollars in additional annual income. Getting your article Digg’ed could mean a huge spike in readership and pageviews. And what’s interesting is that it’s been estimated that almost half the reviews on some of these sites are fake.
Another strain on time are government or federal requests. An IT person at a social network can be consumed for three days with a government request for information on someone promoting pedophilia.
While it’s troubling to note that the nefarious characters are getting more sophisticated, thousands of sites are working feverishly to implement best security practices. But all that the bad guys need is to find just one hole.
(special thanks to James Currier for pointing out the Black Hat Tax to me two years ago)
This is an interesting study we did last month about where people’s friend data comes from and how it relates to gender.
Friends of Men vs. Women on Social Networks
Men tend to be more transactional and less relationship building
when it comes to their friends on social networks. Women tend to have
slightly more friends on average.
In the largest social networking study ever done, Rapleaf sampled over
30 million people looking at social graph information across various
social networks including Bebo, Facebook, Friendster, Hi5, LiveJournal,
Myspace, Flickr, and others. We looked at the number of friends that
women have vs. men across these social networks. The following are
highlights of the information we extracted:
– Rapleaf sampled 30.74 million people with at least 1 friend
– Of the people with at least 1 friend, 53.57% are female and 46.43% are male
– Social Networkers (1-100 friends):
- ~80% of the sample set
- Women have on average 62 friends
- Men have on average 57 friends
- Women are more likely to be Social Networkers
– Connectors (100-1000 friends):
- ~19% of the sample set
- Women have on average 185 friends
- Men have on average 172 friends
- Women are more likely to be Connectors
– Super Connectors (1000-10000 friends):
- 0.66% of the sample set
- Women have on average 1,837 friends
- Men have on average 1,944 friends
- Men are more like to be Super Connectors
– Uber Connectors (10000+ friends)
- 0.02% of the sample set
- Women have on average 24,077 friends
- Men have on average 24,584 friends
- Men are more likely to be Uber Connectors
As per Rapleaf’s original study [link],
women spend more time on social networks. While the full data below
demonstrates that women do have slightly more friends than men on
social networks, the difference isn’t substantial.
While we theorize that women spend more time on social networks,
building and nurturing relationships, we also theorize that men are
less likely to spend as much time nurturing relationships as they are
acquiring relationships from a transactional standpoint. Spending less
time on a social network but transacting more equates to having roughly
the same number of friends as women, who spend more time on social
networks, but are busier sustaining relationships.
Full in-depth report:
|1-100 friends (Social Networkers)||13,020,148||79.07%||62||11,520,625||80.72%||57|
|101-1,000 friends (Connectors)||3,336,626||20.26%||185||2,655,297||18.60%||172|
|1,001-10,000 friends (Super Connectors)||107,062||0.65%||1,837||93,676||0.66%||1,944|
|10,000+ friends (Uber Connectors)||1,989||0.01%||24,077||2,371||0.02%||24,584|
|At least 1 friend||16,465,825||100.00%||81||14,271,969||100.00%||78|
some of the places that wrote about this report include:
OK, you might see a trend in some of the books i have been reading recently. Discover Your Inner Economist: Use Incentives to Fall in Love, Survive Your Next Meeting, and Motivate Your Dentist by Tyler Cowan is another great book (like Predictably Irrational). i highly recommend it. i can’t get enough of these psychology economics tomes.