FTC Testifies Before House Judiciary Subcommittee on Antitrust in the Digital Age

FTC Press Release: 9/16/2010

My Note: An interesting part of the testimony referenced in this press release is the following statement:

“In other words, although most of our enforcement actions involve conduct that violates either the Sherman or Clayton Acts, the FTC Act gives the Commission some additional leeway to block anticompetitive conduct that may not reach the level of a traditional antitrust violation. This authority is particularly useful in rapidly changing markets, where new technology and new business models may complicate the antitrust analysis.”

FTC Applies Enduring Competition Principles to Today’s Dynamic Markets

In testimony before a U.S. House of Representatives subcommittee, the Federal Trade Commission explained how it protects consumers by applying well-established principles of competition to fast-changing technology markets.

“Some have argued that there should be different rules for markets characterized by rapid technological development, but Congress drafted the antitrust laws in general terms to accommodate changing markets and new products, and the laws are flexible enough to meet the challenges of the high-tech era,” said Bureau of Competition Director Richard Feinstein, testifying on behalf of the FTC before the House Committee on the Judiciary, Subcommittee on Courts and Competition Policy.

The testimony discusses two recent FTC matters to illustrate the agency’s flexibility in investigating and bringing enforcement actions in high-tech markets. Last year, the FTC charged Intel Corporation with using unfair methods of competition dating back to 1999 to stifle competition. The agency recently reached a settlement with the company that will help restore lost competition and prevent Intel from suppressing competition in the future, while allowing the company to compete aggressively.

Also last year, the FTC investigated Google’s proposed acquisition of mobile advertising firm AdMob and ultimately decided not to oppose the transaction. The Commission initially had concerns that the loss of head-to-head competition between the two leading mobile advertising networks would harm competition. However, Apple’s acquisition of the third-largest mobile ad network, Quattro, and the introduction of its own mobile advertising network, iAd, indicated that Apple would quickly become a strong player in the mobile advertising market.

The investigation provided an example of how the agency addresses rapidly changing technology markets, in which there is sometimes a short track record of past competition and great uncertainty about the future path of the market.

Going forward, the testimony states, the FTC’s merger reviews will continue to focus on market facts to predict how competition is likely to take place in the future. While that may be slightly more challenging in markets that are experiencing rapid change, “the Commission relies on time-tested tools . . . to protect consumers from anticompetitive mergers, and promote competitive markets where innovation and change can occur.”

The FTC vote approving the testimony and its inclusion in the formal record was 4-0, with Commissioner William E. Kovacic abstaining. The testimony can be found on the FTC’s website at http://www.ftc.gov/os/testimony/100916digitalagetestimony.pdf.

Copies of the Commission’s testimony are available from the FTC’s website at http://www.ftc.gov. The FTC’s Bureau of Competition works with the Bureau of Economics to investigate alleged anticompetitive business practices and, when appropriate, recommends that the Commission take law enforcement action. To inform the Bureau about particular business practices, call 202-326-3300, send an e-mail to antitrust@ftc.gov, or write to the Office of Policy and Coordination, Room 394, Bureau of Competition, Federal Trade Commission, 600 Pennsylvania Ave, N.W., Washington, DC 20580. To learn more about the Bureau of Competition, read “Competition Counts” at http://www.ftc.gov/competitioncounts.

Social Network Analysis, “Trusted Hubs”, and Timelines

People ask me all the time, “Who can I trust who won’t screw me over?” or “How do I know I can trust you?”

As to myself, I could point to things like:

  • The BBB using my research here
  • Or the National Consumers League referencing WorkAtHomeTruth here
  • Or the FTC letter I have sent to me thanking me for helping them on the In Deep Services case involving one of the top 100 spammers in the world according to the ROSKO database at the time (I spent A LOT Of time helping them on that).
  • Or documentation I provided (by request) to another branch of federal law enforcement detailing an extensive criminal network, including over a dozen corporations, LLCs, several hundred websites, and an alarming number of D.B.A.s – all across multiple countries.
  • Or the numerous requests for information about home business fraud from places like National Public Radio, ABC’s 20/20, The New York Post, The Sydney Morning Herald
  • Being asked to write the chapter on home business fraud by an author who works closely with an assigned federal agent and was the only non-agency person at one of the more recent white collar crime initiative meetings.
  • Or the power user spotlight at business.gov

Sounds impressive. But is it? And does it really say anything about how much you can trust me?

Maybe or maybe not.

Who’s to say that one day I didn’t wake up and say, “Hey, now that everyone will trust me, it’s time to screw them all over and collect big $$$! (I DID NOT do that, but it is POSSIBLE for someone to do that – AND I’ve seen it happen on numerous occasions).”

Social Network Analysis and Trusted Hubs

I first learned of the concept of Trusted Hubs when studying Search Engine Optimization. However, a video from SEOMoz about TrustRank really helped me understand how useful the concept could be – even outside of the field of link-building and SEO.

Here’s the video from SEOMoz about TrustRank and LinkBuilding:

It appears that he is basing much of his discussion on the type of research in this paper about Combating Spam With TrustRank.

Social Network Analysis and “Trusted Hubs”

So can anything similar to TrustRank be used when it comes to evaluating reputation of a company or person selling “Internet Marketing Training, SEO Training, or providing other types of product or service?

One of the more interesting papers I’ve read on this possibility is the paper “Reputation and Social Network Analysis in MultiAgent Systems” by Jordi Sabater and Carles Sierra  which starts with the statement (Abstract):

“The use of previous direct interactions is probably the best way to calculate a reputation but, unfortunately this information is not always available. This is especially true in large multi-agent systems where interaction is scarce. In this paper we present a reputation system that takes advantage, among other things, of social relations between agents to overcome this problem.”

On important thing to keep in mind that “reputation” does not necessarily equal “trustworthiness” (although it might)

I highly recommend going through the paper as it provides a lot of great insight into the pros, cons, and problems associated with using social network analysis as a means to calculate reputation. Also, there are important distinctions made in the paper that would be too detailed to go into here.

A Few Takeaways From Sabater and Sierra’s Paper  as Applied to the Realm Of Internet Marketing Training

Where “wi” is the “witness” providing information to “a” about “b”, then:

“socialTrust(a,wi,b) (is defined)  as the trust degree that agent a assigns to wi when wi is giving information about
b and taking into account the social relations among a, wi and b.”

And also, one of the more basic, but still important, ideas from the paper is that:

where “wi” is the “witness” providing information to “a” about “b”, then:

“IF coop(wi; b) is high
THEN socialTrust(a;wi; b) is very bad”

that is, if the level of cooperation between wi and b is high then the trust from the point of view of a on the information coming from wi related to b is very bad. The heuristic behind this rule is that a cooperative relation implies some degree of complicity between the agents that share this relation so the information coming from one about the other is probably biased.”

A recent example of this can be seen in this post at the SaltyDroid.info site about “The Internet Marketing Syndicate”.

Frank Kern’s “Why You Must Form A Syndicate” video in light of insights from Jordi Sabater and Carles Sierra’s paper about using Social Network Analysis to attempt to analyze reputation

In Frank Kern’s “Why You Must Form A Syndicate” video, Frank Kern advises businesses/people to form a “Syndicate” within their market and:

  • Work together with competitors to constantly be delivering “value” to customers
  • Work with a maximum of 10 people/businesses who are your biggest competitors
  • Reach out to the biggest competitors by setting up a meeting.
  • Develop a group of people/businesses (Syndicate) that promote each other, DELIBERATELY endorse each others products, and grow each others’ businesess.
  • Aim for a level of cooperation that would occur naturally if the fear of competition wasn’t in the way.
  • You have to deliberately cultivate, create, and position yourself as the leader of a “trade union” (a.k.a. Syndicate a.k.a. the “A Team”) within your market.

Frank Kern also goes on to state:

  • All the top people in the internet marketing space promote each other.
  • A lot of the top people are in a “Trade Union” (a.k.a. Syndicate – a.k.a. the “A Team”)
  • The “B” teams buzz supports the “A” teams buzz through the social proof mechanism which amplifies the “A Team”‘s message.

What Might Social Network Analysis Say About The Value Of Product Recommendations And Value Of The Products (Price) Coming From The Internet Marketing Syndicate?

Again, remember the formula where “wi” is the “witness” providing information to “a” about “b”, then:

“IF coop(wi; b) is high
THEN socialTrust(a;wi; b) is very bad”

In other words if the assumptions in Jordi Sabater and Carles Sierra’s paper are correct, then it’s likely that any information ABOUT products from Syndicate members OR the value placed on products (i.e. price) could quite possibly be “very bad”.

10/2/2010 correction: It looks like I made a pretty serious error in the statement above as what they are talking about is the “perceived value” of the witnesses information.

“In other words if the assumptions in Jordi Sabater and Carles Sierra’s paper are correct, then it’s likely that any information ABOUT products from Syndicate members OR the value placed on products (i.e. price) could quite possibly be [perceived as] “very bad”.

That doesn’t throw out the entire concept of this post, but it’s significant. I go into that more in a comment at the bottom of this post.

End 10/2/2010 correction

Does The Internet Marketing Syndicate Truly Believe They Are Delivering “Value”

Another question that comes up in the video is whether or not the members of the Internet Marketing Syndicate believe they are  delivering value. The Salty Droid seems to imply that he doesn’t think the Internet Marketing Syndicate believes they are delivering value when he displays the word value within quotation marks in the video.

Of course if it’s true (as has been claimed by some) that members of The Internet Marketing Syndicate promote each others product no matter what, then of course it’s less likely (although still possible) that they truly believe they are delivering value to their prospects and customers than if they only promote the product if they believe it is beneficial to their subscribers/clients.

Sabater and Sierra make an interesting distinction in this area when they say make a distinction between “sincere” information (information that an agent believes is true) and “true” information (information that actually is true).

Why “Social Proof” Is Usually NO Proof At All

I’ve heard a lot of people mocking the idea of “Social Proof” saying that it is meaningless and not REAL proof.

But the field of Social Network Analysis provides a compelling REASON why “Social Proof” is usually NO proof at all:

Sabater and Sierra state:

“the information that comes from other agents can be correlated (what is called the correlated evidence problem). This happens when the opinions of di fferent witnesses are based on the same event(s) or when there is a considerable amount of shared information that tends to unify the witnesses’ way of  thinking”.  In both cases, the trust on the information shouldn’t be as high as the number of similar opinions may suggest.

The Problem Of “Perceived Neighborhood Reputation”

Jason Fladien hinted at this in his recent post called “Stay Away From These Products” in which he states, “What I have just done is probably pissed off a lot of my so-called peers. Lost a lot of potential joint venture partners. Alienated alliances that could bring me in big bucks.”

In other words when he talks of his “so-called peers” he seems to be hinting at the possibility that many people will accidently lump him in with the more questionable internet marketing trainers merely because he does training in that field as well.

The question then becomes how can you distance yourself from a “Neighborhood Reputation” that doesn’t reflect who you are and doesn’t reflect your values.

The Temporal Aspect Of Reputations

Sabater and Sierra make a point to clarify that, “reputations also have a temporal aspect (the reputation value of an agent varies along time)”.

In other words opinions can change, relationships can change, and a person’s values can change.

And like it or not, the important questions to be asked (especially early on) are:

  • Is the change real?
  • What is the motivation behind the change?
  • Why didn’t the change occur earlier?

Possible Solutions To “The Hidden” Information Problem In Social Network Analysis

One problem inherent in social network analysis has to do with whether the true relationships between and among people are really known.

For example, in a competitive environment a person/business has a pretty big motive not to disclosure their relationships.

However,  in certain scenarios this isn’t as much of an issue.

A good example of this is this case study about a Slumlord Conspiracy  from Orgnet (Uncloaking a Slumlord Conspiracy with Social Network Analysis) which involves a scenario where it is possible to gain data about relationships that is more likely to be accurate than in other scenarios where relationship information is dependent upon the people/businesses involved in the social relationships who may deliberately hide information OR not know the information.

The abundance of free and paid tools, such as those I list in the section on Competitive Intelligence Tools & Techniques make it possible in many situations to get potentially quite accurate data and information – although only potentially, because as discussed in Jennifer Xu’s and Hsun chun Chen’s Criminal Network Analysis and Visualization, there’s always a chance the information is:

  • Incomplete
  • Incorrect (intentially or unintentially)
  • Inconsistent

…amongst other potential data accuracy problems discussed in their paper.

However, if you can join the “harder data” that can be revealed through documentation with the “softer data” about what people/businesses self-disclose about their relationships then it should be possible to get a better idea of the trustworthiness of different nodes and neighborhoods in a social network.

Related Research And Information:

Related Posts:

Reverse engineering affiliate traffic – Part IIa Informal Reconnaissance

This is part IIa of the series on Reverse Engineering Affiliate Traffic.

Product: The Rich Janitor
Mission: Find Affiliates promoting The Rich Janitor
Technique: Informal Reconnaissance

If you’re already familiar with a market, a reasonable (but not systematic) way to start finding affiiates is through informal reconnaisance. This is just whatever you already know about the product, it’s affiliates, and traffic for various reasons.

Affiliate identified: Matt Bacak

For example, when I did the Rich Janitor review and analysis of the sales page and was writing up it’s numerous red-flags I remember coming across Matt Bacak’s blog where he was promoting The Rich Janitor product (see video below):

Matt Bacak Quick Overview:

  • Well-Known Marketer
  • Won the 2010 Internet Marketer Of The Year Award
  • Recently appeared on “The Balancing Act’s” ‘My Money’ segment Airing on Lifetime Television
  • Has several books distributed through Amazon.com including “The Ultimate Lead Generation Plan” and “Secrets of the Internet Millionaire Mind”
  • Has a new book coming out called “Click Your Way To Millions”

Note: One thing that comes to mind is that sometimes affiliates share information about high converting and low-converting products with their friends.

Affiliate Identified: Justin Michie

Today I just happened to get an email from Justin Michie promoting The Rich Janitor product:

Rich Janitor Affiliate Justin Michie

Rich Janitor Affiliate Justin Michie

That gave me the idea to just search my inbox for The Rich Janitor product to see if anyone else had emailed me about it. No luck there, I just turned up another email from Justin Michie from March 17, 2010:

Justin Michie 20100317 Rich Janitor Promo Email

Justin Michie 20100317 Rich Janitor Promo Email

Justin Michie  Overview:

According to Justin Michie’s About Justin Michie page:

“Justin’s also the author of the best selling internet marketing book “Street Smart Internet Marketing” that’s sold over 10,000 copies that was chosen by the tough-minded, discriminating professors at several universities and colleges as the textbook for teaching online marketing.”

Justin Michie is also a well-known member of the popular  Warrior Forum with 2,198 (and counting) posts over the past few years according to his Warrior Forum profile.

Note: If you are in a specific marketer you may want to have a dedicated email address just to sign up for email lists in that market. This is an idea originally suggested by Stephen Pierce in his eBook “The Whole Truth About Internet Marketing”

Note: Related to the idea above is to create a custom search engine of the main players’s known sites in a specific market to be able to quickly search them all for a specific product to see who is promoting them directly off their site. You can so this with any of the following:

A nice way to build a custom search engine around a specific market is described here: Using Twitter Lists to Define Custom Search Engines

Related: