I have a concern that your posting and your paper mix UUNet traffic with the Internet traffic. I personally was very much involved in the ISP world (was working for Tier1 ISPs) during the period and I’d like to point out the following: UUNet’s (or any other individual network’s) traffic does NOT equal to the Internet traffic, even at that time! I was working at ANSnet and later UUnet due to a three party acquisition deal between AOL, WorldCom and CompuServe during that time period. I did hear presentations about network traffic being doubling every 100 days by O’Dell but my understanding was that he was referring to UUnet’s traffic not the Internet traffic. At the time, the Tier 1 ISPs included UUNet, MCI Network, Sprint Network, ANSnet, etc. Each ISP could only collect network traffic stats on its own backbone and there was no one entity could collect the entire Internet traffic. For this reason, the prediction by O’Dell could only be based on UUNet’s traffic stats. I really doubt that O’Dell would say the Internet traffic doubling every 100 days rather than saying that of UUNet’s traffic. I’d encourage you to do some research to find out if he was really referring to the Internet traffic or just UUNet traffic. The reference listed by your paper showed that he was saying ‘network traffic’ not ‘Internet traffic.’ I do not know if making such distinction would alter the conclusion of your paper. But, to me, there is a difference between one to predict the growth of one particular network based on the stats collected than one to predict the growth of the entire Internet with no solid data. Thanks!--Jessica ________________________________ From: Andrew Odlyzko <odlyzko@umn.edu> To: nanog@nanog.org Sent: Thu, August 5, 2010 11:38:38 AM Subject: off-topic: historical query concerning the Internet bubble Apologies for intruding with this question, but I can't think of any group that might have more concrete information relevant to my current research. Enclosed below is an announcement of a paper on technology bubbles. It is based largely on the Internet bubble of a decade ago, and concentrates on the "Internet traffic doubling every 100 days" tale. As the paper shows, this myth was perceived in very different ways by different people, and this by itself helps undermine the foundations of much of modern economics and economic policy making. To get a better understanding of the dynamics of that bubble, to assist in the preparation of a book about that incident, I am soliciting information from anyone who was active in telecom during that period. I would particularly like to know what you and your colleagues estimated Internet traffic growth to be, and what your reaction was to the O'Dell/Sidgmore/WorldCom/UUNet myth. If you were involved in the industry, and never heard of it, that would be extremely useful to know, too. Ideally, I would like concrete information, backed up by dates, and possibly even emails, and a permission to quote this information. However, I will settle for more informal comments, and promise confidentiality to anyone who requests it. Andrew Odlyzko odlyzko@umn.edu http://www.dtc.umn.edu/~odlyzko/doc/mania03.pdf Bubbles, gullibility, and other challenges for economics, psychology, sociology, and information sciences Andrew Odlyzko School of Mathematics and Digital Technology Center University of Minnesota odlyzko@umn.edu http://www.dtc.umn.edu/~odlyzko Preliminary version, August 5, 2010 ABSTRACT Gullibility is the principal cause of bubbles. Investors and the general public get snared by a "beautiful illusion" and throw caution to the wind. Attempts to identify and control bubbles are complicated by the fact that the authorities who might naturally be expected to take action have often (especially in recent years) been among the most gullible, and were cheerleaders for the exuberant behavior. Hence what is needed is an objective measure of gullibility. This paper argues that it should be possible to develop such a measure. Examples demonstrate, contrary to the efficient market dogma, that in some manias, even top-level business and technology leaders do fall prey to collective hallucinations and become irrational in objective terms. During the Internet bubble, for example, large classes of them first became unable to comprehend compound interest, and then lost even the ability to do simple arithmetic, to the point of not being able to distinguish 2 from 10. This phenomenon, together with advances in analysis of social networks and related areas, points to possible ways to develop objective and quantitative tools for measuring gullibility and other aspects of human behavior implicated in bubbles. It cannot be expected to infallibly detect all destructive bubbles, and may trigger false alarms, but it ought to alert observers to periods where collective investment behavior is becoming irrational. The proposed gullibility index might help in developing realistic economic models. It should also assist in illuminating and guiding decision making. ----------------------------------------------------------------------------- If you would like to be on the mailing list for notifications of future papers on technology bubbles, please send me a note at odlyzko@umn.edu The previous three papers in this series are available at: 1. Collective hallucinations and inefficient markets: The British Railway Mania of the 1840s http://www.dtc.umn.edu/~odlyzko/doc/hallucinations.pdf 2. This time is different: An example of a giant, wildly speculative, and successful investment mania, B.E. Journal of Economic Analysis & Policy, vol. 10, issue 1, 2010, article 60 (registration required) http://www.bepress.com/bejeap/vol10/iss1/art60 preprint available at: http://www.dtc.umn.edu/~odlyzko/doc/mania01.pdf 3. The collapse of the Railway Mania, the development of capital markets, and Robert Lucas Nash, a forgotten pioneer of accounting and financial analysis http://www.dtc.umn.edu/~odlyzko/doc/mania02.pdf ----------------------------------------------------------------------------- Source materials for the Railway Mania and the Internet bubble are available at the web pages http://www.dtc.umn.edu/~odlyzko/rrsources/ and http://www.dtc.umn.edu/~odlyzko/isources/