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Speaker 1: What's up, everyone, and welcome back to the Epstein Chronicles.

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In this episode, we're diving right back into the court

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documents and we're going to take a look at the

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expert witness report of doctor Bernard Jay Jansen, who is

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a professor at the College of Information of Sciences and

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Technology at penn State University, regarding the case of Virginia

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Roberts and Galaine Maxwell. Introduction. I have been retained by

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the law firm of Farmer Jaffey, Weissing, Edwards, Fistos and

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Layerman Pel to provide expert analysis and opinion on behalf

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of Miss Virginia Roberts in Virginia Roberts Plaintiff versus Glaiine Maxwell, Defendant.

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Two qualifications. I am a tenured full professor at the

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College of Information Sciences and Technology at the Pennsylvania State University,

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University Park, Pennsylvania, where I've been employed since two thousand

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and one. I am the director of the Information and

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Learning Laboratory at the College of Information Sciences and Technology

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at penn State University. I am also a principal scientist

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at the Cutter Computing Research Institute. I was a senior

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fellow at the Pew Internet and American Life Project, which

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is part of the Pew Research Center. From twenty ten

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to twenty twelve, I was also a university expert at

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the National Ground Intelligence Center from twenty eleven through twenty fourteen.

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Prior to my employment at the Pennsylvania State University, I

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was a lecturer in the Computer science program at the

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University of Maryland Asian Division for one year. Before that,

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I was an assistant professor and lecturer in the Department

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of Electrical Engineering and Computer Science at the United States

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Military Academy AKA West Point for three years. Number three.

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In addition to my academic credentials, my professional experience includes

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twenty years of practice in the US military, working primarily

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in a variety of technology related leadership positions. Number four.

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I have authored approximately two hundred and fifty academic publications

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focusing on the areas of web data, digital analytics, web analytics,

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web searching, web search engines, social media analytics, and related areas.

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Approximately two hundred of my publications address aspects of search analytics,

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web analytics, online advertising, search engines, or web searching. My

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recent research work focuses on online news analytics, which is

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the investigation of the online qualitative and quantitative attributes of

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news stories, along with other digital content. I am also

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the editor in chief of the academic journal Information Processing

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and Management, and I was previously the editor in chief

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for five years of the academic journal Internet Research. I

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have authored, co authored, or co edited for books including

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Web Search Public Searching of the Web two thousand and seven,

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Understanding User Web Interactions via Web Analytics two thousand and nine,

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and Understanding Sponsored Search twenty eleven. A copy of my

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complete curriculum, which includes a list of all publications I

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have authored in the past ten years, is attached as

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Appendix A number five. My fields of professional expertise include

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web analytics, search engines, web searching, social media, online advertising,

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and related areas. In the course of my academic career,

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I have worked with a variety of search engines and

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information searching applications in order to understand user searching behavior

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on the Web and in other environments. For example, as

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part of my master's degree program in computer science, I

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designed and coded a text based search engine. For my

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doctorate program in computer science, I developed a program interface

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for web search engines and implement entered it on the

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gigabyte Search engine. In subsequent research, I have worked with

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Microsoft Internet Information Services and Verity Commercial Searching Services six

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concerning user searching behaviors on the web using web analytics.

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I have worked directly with real user searching data from

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several search engines, including AOL, Alta, Vista, Dogpile, Excite, and

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MSN Live. I've also analyzed web data of visitor traffic

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and other attributes from a variety of websites and social

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media platforms. I have analyzed real user data from online

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search marketing campaigns and user referral traffic to websites. I

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have conduct research and teaching concerning aspects of websites and

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social media platforms, including keyword advertising. I've developed web analytics

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models and processes for analysis of business goals, and I

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have used web analytic data and commercial tools and both

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my research and my teaching, I've also conducted other research

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on users searching and related online behaviors. I have advised

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governmental agencies and companies in consulting and expert witnessing matters.

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A list of cases in which I have testified as

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an expert witness in a deposition or trial in the

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past four years is attached as the appendix be I

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am being compensated for my work on this case at

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the rate of three hundred dollars per hour. Number three

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Assignment and materials considered Number seven. In providing my expert opinion,

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I have been asked to respond to the following question

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Number eight, what is the dissemination of the statements from

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Miss Maxwell referring to Miss roberts declaration as untrue and

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lies from when the statements were made on the second

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of January twenty fifteen to the date that I filed

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this report Number nine. For brevity, I refer to references

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to the statement denoting Miss roberts declarations as untrue and lies.

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Any related accounts referring to those original statements or similar

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statements from Miss Maxwell or representatives referring to Miss Roberts

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as the statements made against Miss Roberts, the statements from

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Miss Maxwell's message, or the message from mister Gal Number ten.

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My analysis is based on my experience, training, knowledge, and

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education and is formed through the application of that experience, training, knowledge,

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and education in the principles of web data collection, web analytics,

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web search search engines, websites, web traffic analysis, and related

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market analysis. Number eleven. The materials that I considered in

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preparing this report are listed in Appendix see the Summary

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of opinions twelve. Based on my research and analysis in

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connection with this assignment, which is described in more detail

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in the body of this report, along with my own experience, training, knowledge,

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and education stated below, I have reached the following opinion

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number thirteen. Statements made against Miss Roberts have been disseminated

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to at least one hundred and fifteen online media or

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other sites in one hundred and seventy eight separate stories

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or articles with a combined sixty six million, nine hundred

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and nine thousand, nine hundred and sixty five potential unique

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visitors since January two, twenty fifteen, to the date that

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I filed this report inclusive fourteen. This is a conservative estimate,

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and it is more likely than not the statements made

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by Miss Maxwell against Miss Roberts have received a wider

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dissemination due to the factors such as a I used

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a set of online websites to measure dissemination, and it's

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reasonable that I have not located all references to the

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statements made against Miss Roberts on every website by the

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time of the submission of this report. B. I examined

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only online sources referencing the statement made against Miss Roberts,

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and not print or broadcast media dissemination of the statements

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made against Miss Roberts. See. I have not attempted to

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measure face to face dissemination of articles containing the statements

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against Miss Roberts. D. I do not have access to

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certain online sources where articles containing the statements against Miss

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Roberts may have been disseminated. E. There are possibly sites

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that have hosted the statements made against Miss Roberts that

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I cannot locate, or where the statements have been removed.

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F There are sites that hosted the articles containing the

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statements made against Miss Roberts where the visitor data is

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not accessible, or where I could not confirm the number

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of visitors. G. I did not consider the dissemination via

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social media platforms of articles containing the statements made against

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Miss Roberts. H. Many sites published multiple articles on multiple

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days that contained or referenced the statements made against Miss Roberts.

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How However, I did not include these multiple publication dates

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in calculating unique daily visitors. I. I did not include

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unique daily visitors to articles that link from the article

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till one or more of the articles containing the statements

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made against Miss Roberts Jay. Finally, I did not include

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the accounts of those who may have been searching and

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seen the statements made against Miss Roberts in the search

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results listing Part five. Background web analytics for traffic analysis fifteen.

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In the course of forming this opinion, I implemented numerous web

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analytics and related techniques commonly used in the industry. In

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order to more clearly discuss these techniques, I define the

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following terms. Direct traffic visitors to a website that come

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from entering a website link into a browser location eg.

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Not coming from a link or another website. Dissemination, the

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act of spreading, or the circulation of information or articles

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domain a specific Internet website that are administered as a

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unit and defined by an Internet Protocol address. Reach the

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percentage or number of people who visit a website out

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of the total targeted population. Referral traffic visitors to a

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site that come from websites other than search engines, repeat

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visits visitor traffic to a website in a given period

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that just includes multiple visits from the same set of

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IP addresses IE IP addresses with more than one visit

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provides account of the people who have visited a site

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more than once in a given period. An individual is

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usually defined by a combination of IP addresses and browser

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within a given period, but can also be defined by

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more sophisticated methods. Search engine a program and associated hardware

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and processes that allows people to find information on the web,

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typically via the submission of queries consisting of terms search

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traffic visitors to a site that come from search engines

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rather than from other websites, or via direct navigation search

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a submission of a query to a search engine, usually

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in the form of terms forming a query. Share sharing

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of an article or a web page, typically via some

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social media platform social media content that is shared via

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social media networking websites. Unique visits visitor traffic to a

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website within a given period that includes only the first

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visit IE. Subsequent visits are ignored, which excludes repeat visits,

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provides account of the individuals who have visited in a

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site in a given period. Unique daily visitors visitor traffic

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to a website who visits a site at least once

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in a given twenty four hour period. Each visitor to

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the site is counted once during the reporting period, which

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means it exc fludes repeat visits. Provides account of the

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individuals who have visited a site on a given day.

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Visits account of all the traffic to a website in

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a given period, including both unique and repeat visits. Web

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analytics the measurement, collection, analysis, and reporting of web data.

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All right, folks, we're going to wrap up right there,

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and in the next episode, we're going to pick up

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where we left off. All of the information that goes

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with this episode can be found in the description box.

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What's up, everyone, and welcome back to the Epstein Chronicles.

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In this episode, we're going to dive right back into

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that expert witness testimony that we were talking about in

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the last episode, So let's get back to it. Part six.

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Methodology sixteen. I was asked to determine the dissemination of

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articles containing the statements made against Miss Roberts seventeen. Informing

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my opinion, I utilized accepted web analytics and related methodologies

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in developing my assessment eighteen. To that end, I employed

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various publicly available online analytics services as well as some

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subscription based services. In conducting my research including Alexa, an

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online service that provides web traffic data and analysis. Compete

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an online service that provides web traffic data and analysis.

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Google Keyword Tool an online service that provides the number

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of searches for a given set of keywords in a

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given month on the Google search engine. Google Trends an

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online service that shows how often a particular term is

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relatively searched on the Google Search Engine in a given period.

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Similar Web an online service that provides web traffic data

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and analysis. Spyfu an online service providing search data and analytics,

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including for both paid IE advertisements and organic IE natural

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algorithmic channels. W three snoop an online service that provides

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web traffic data and analysis. Nineteen. These tools offer a

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variety of data and analysis services, and they are frequently

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utilized by industry professionals in the search engine optimization, web analytics,

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and search engine marketing fields for market customer and competitive analysis. Furthermore,

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where possible, I did my own assessments as outlined below.

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In order to validate the data and analysis results. Number twenty,

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I utilize search engines, primarily Google, ending to assess the

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dissemination of articles containing the statements made against Miss Roberts

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twenty one. Whenever possible, I use multiple data sources, which

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is a data verification technique known as triangulation, where one

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uses multiple and disparate sources of analysis and then compare

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the results from the separate analysis. If the results are similar,

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it reinforces the conclusion that the overall data analysis is valid.

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Number twenty two. In all of my assessments, I have

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used the most conservative numbers, meaning that I use the

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smallest value in arriving at the dissemination of articles containing

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the statements made against Miss Roberts. If I had employed

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this conservative estimate, the number of potential dissemination of articles

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containing the statements made against Miss Roberts would be one

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hundred and two million, seven hundred and forty thousand, eight

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hundred and sixteen daily unique visitors. Number twenty four. My

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analysis is based on my experience, training, knowledge, and education

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is formed through the application of that experience, training, knowledge,

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and education in the principles of web data collection, web analytics,

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web search search engines, websites, and related areas Number seven.

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Dissemination of the statements made against Miss Robbers twenty five.

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My opinion is that the articles containing the statements made

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against Miss Roberts have been disseminated to at least one

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hundred and fifteen online media and other sites in one

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hundred and seventy eight separate stories or articles with a

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combine sixty six million, nine hundred and nine thousand, nine

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hundred and sixty five unique daily visitors twenty six. This

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is a conservative estimate, and it's more likely than not

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the statements have received wider dissemination due to the factors

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such as A. I used a set of online websites

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one hundred and fifteen to calculate the dissemination of the articles,

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and it's reasonable that I have not located all references

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to the statements made against Miss Roberts by the time

243
00:16:45,039 --> 00:16:48,080
of the submission of this report, so there may be

244
00:16:48,080 --> 00:16:51,519
more sites with articles containing the statements made against Miss

245
00:16:51,600 --> 00:16:56,240
Roberts that are not included in my calculations. B. My

246
00:16:56,360 --> 00:17:00,639
focus of analysis was the online dissemination of the statements

247
00:17:00,919 --> 00:17:05,440
made against Miss Roberts. Therefore I examined only online sources

248
00:17:05,440 --> 00:17:08,839
and not dissemination of the statements made against Miss Roberts

249
00:17:08,920 --> 00:17:12,720
via print or broadcast media. It is reasonable to assume

250
00:17:12,960 --> 00:17:16,440
that the statements made against Miss Roberts were disseminated via

251
00:17:16,799 --> 00:17:21,119
these other channels. See. I have not attempted to measure

252
00:17:21,200 --> 00:17:25,680
face to face dissemination of the statements made against Miss Roberts. Therefore,

253
00:17:26,319 --> 00:17:29,480
these sources of dissemination are not included in the account

254
00:17:29,519 --> 00:17:33,759
of Daily Unique visitors. D. I did not have access

255
00:17:34,039 --> 00:17:37,359
to certain online sources where the statements against Miss Roberts

256
00:17:37,680 --> 00:17:42,359
may have been disseminated e g. Email messages, social media messages,

257
00:17:42,720 --> 00:17:46,640
articles behind firewalls, et cetera. Therefore, these sources are not

258
00:17:46,720 --> 00:17:51,039
included in account of Daily Unique visitors. E. There may

259
00:17:51,079 --> 00:17:54,279
be sites that hosted articles containing the statements made against

260
00:17:54,279 --> 00:17:58,319
Miss Roberts, where the articles have been removed. Therefore, I

261
00:17:58,440 --> 00:18:01,680
did not include these sites in my calculation of the

262
00:18:01,799 --> 00:18:06,200
unique daily visitors. F. There are sites where the visitor

263
00:18:06,279 --> 00:18:09,359
data is not accessible or where I could not reasonably

264
00:18:09,440 --> 00:18:12,640
check the number of visitors. In these cases, even though

265
00:18:12,640 --> 00:18:15,119
I had confirmed the site had posted one or more

266
00:18:15,240 --> 00:18:19,039
articles containing statements made against Miss Roberts, I did not

267
00:18:19,119 --> 00:18:23,359
include these sites in my calculation of the unique daily visitors. G.

268
00:18:24,240 --> 00:18:27,960
I did not consider the dissemination via social media platforms

269
00:18:28,000 --> 00:18:32,759
of articles containing the statements against Miss Roberts. H Many

270
00:18:32,799 --> 00:18:36,720
sites publish multiple articles on multiple days that contain or

271
00:18:36,759 --> 00:18:40,720
reference the statements made against Miss Roberts. However, I did

272
00:18:40,720 --> 00:18:43,839
not use these multiple articles from the same site with

273
00:18:43,920 --> 00:18:47,960
different publication dates in my calculations in determining the number

274
00:18:48,200 --> 00:18:51,319
of daily unique visitors who have been exposed to the

275
00:18:51,400 --> 00:18:55,839
articles containing the statements made against Miss Roberts. I I

276
00:18:56,000 --> 00:18:58,839
did not include articles that link to one or more

277
00:18:59,039 --> 00:19:02,519
of the articles containing the statements made against Miss Roberts.

278
00:19:02,920 --> 00:19:06,799
Unless the article directly referenced the statements made against Miss Roberts,

279
00:19:07,079 --> 00:19:11,039
I did not include it in my analysis. Jay. Finally,

280
00:19:11,480 --> 00:19:14,119
I did not include people who may have been searching

281
00:19:14,400 --> 00:19:16,920
and may have seen the statements made against Miss Roberts

282
00:19:16,960 --> 00:19:20,279
in the search results without needing to visit the actual

283
00:19:20,359 --> 00:19:25,599
articles posted on the websites. Number eight Methodology to determine

284
00:19:25,640 --> 00:19:29,880
the dissemination of the statements made against Miss Roberts twenty seven.

285
00:19:30,359 --> 00:19:32,839
I have been informed that the statements made against Miss

286
00:19:32,960 --> 00:19:36,519
Roberts were originally contained in an email message from Ross

287
00:19:36,519 --> 00:19:41,319
Gau of Acuity Reputation, acting on behalf of Miss Maxwell

288
00:19:41,720 --> 00:19:45,759
that was sent on January two, twenty fifteen, at eight

289
00:19:45,839 --> 00:19:49,359
thirty eight pm to based on the email addresses people

290
00:19:49,480 --> 00:19:53,039
at The Mail Online, The Independent, The Mirror, The Times

291
00:19:53,240 --> 00:19:57,240
and the BBC. The email message from mister gu contained

292
00:19:57,240 --> 00:20:00,519
the statements made against Miss Roberts. A scre greenshot of

293
00:20:00,559 --> 00:20:04,359
the email message is shown in Figure one twenty eight.

294
00:20:04,680 --> 00:20:08,880
Figure one email message from Roscale containing the statements made

295
00:20:09,079 --> 00:20:14,480
against Miss Roberts thirty Additionally, on January eighth, twenty fifteen,

296
00:20:14,920 --> 00:20:19,319
agents reportedly acting on behalf of Miss Maxwell made statements

297
00:20:19,359 --> 00:20:21,880
that the allegations against her were a web of lies

298
00:20:22,119 --> 00:20:25,519
and deceit, which are similar to the statements made against

299
00:20:25,519 --> 00:20:30,640
Miss Roberts in the message from mister Gal thirty one. Similarly,

300
00:20:30,880 --> 00:20:35,880
on February first, twenty fifteen, agents reportedly acting on behalf

301
00:20:35,960 --> 00:20:39,440
of Miss Maxwell made statements that the allegations against her

302
00:20:39,559 --> 00:20:42,720
were a web of lies and deceit, which are similar

303
00:20:42,759 --> 00:20:45,559
to the statements made against Miss Roberts in the message

304
00:20:45,599 --> 00:20:51,200
from mister Gal thirty one. Similarly, on February first, twenty fifteen,

305
00:20:51,559 --> 00:20:56,440
like statements were quoted as these allegations are untrue and defamatory,

306
00:20:56,799 --> 00:20:59,559
which are similar to the statements made against Miss Roberts

307
00:20:59,599 --> 00:21:03,880
in the metassage from mister Gal thirty two based on

308
00:21:03,960 --> 00:21:08,519
my investigation and research. News stories, articles and postings containing

309
00:21:08,559 --> 00:21:12,440
direct reference to or quotes from the statements made against

310
00:21:12,440 --> 00:21:16,799
Miss Roberts appeared the same day, January two, twenty fifteen

311
00:21:17,240 --> 00:21:20,960
as the email from mister Gal, with several news organizations

312
00:21:20,960 --> 00:21:25,319
and other sites publishing other articles containing direct reference to

313
00:21:25,519 --> 00:21:29,119
or quotes from the statements made against Miss Roberts in

314
00:21:29,160 --> 00:21:33,640
the immediate following days. News articles containing direct reference to

315
00:21:33,880 --> 00:21:37,240
or quotes of the statements made against Miss Roberts have

316
00:21:37,400 --> 00:21:41,160
continued to appear in news articles and other postings nearly

317
00:21:41,240 --> 00:21:44,200
up to the date that I submitted this report Number

318
00:21:44,279 --> 00:21:47,960
thirty three. A timeline of events relating to the dissemination

319
00:21:48,160 --> 00:21:51,440
of the statements made against Miss Roberts is shown in Fig.

320
00:21:51,640 --> 00:21:56,160
Two thirty four. Fig. Two Timeline of events relating to

321
00:21:56,200 --> 00:21:59,599
the dissemination of the statements made against Miss Roberts from

322
00:21:59,680 --> 00:22:04,960
Jijanuary second, twenty fifteen onwards. Number thirty five concerning the

323
00:22:05,000 --> 00:22:08,519
procedure employed and determining the dissemination of the statements made

324
00:22:08,519 --> 00:22:12,960
against Miss Roberts. Nearly every major news site that I investigated,

325
00:22:13,240 --> 00:22:16,200
along with other specific news sites in the United States

326
00:22:16,240 --> 00:22:20,640
the United Kingdom, Canada and Australia, as well as other countries,

327
00:22:20,720 --> 00:22:23,759
have carried some aspects of the overall story related to

328
00:22:23,799 --> 00:22:27,359
Miss Roberts and Dora Maxwell or other parties that are

329
00:22:27,400 --> 00:22:31,119
involved thirty six. In fact, there are tens of thousands

330
00:22:31,119 --> 00:22:34,519
of news articles and postings concerning the general story from

331
00:22:34,640 --> 00:22:39,440
news outlets worldwide, with combined potential viewership in the multimillions

332
00:22:39,559 --> 00:22:42,880
as searches on the major search engines such as Google

333
00:22:42,920 --> 00:22:47,119
and Bing's show thirty seven. However, I was not interested

334
00:22:47,119 --> 00:22:50,279
in news articles that just discussed the story in general

335
00:22:50,480 --> 00:22:53,519
or other aspects of the story. Also, I was not

336
00:22:53,559 --> 00:22:56,839
interested in those articles where Miss Maxwell or those acting

337
00:22:56,839 --> 00:23:00,000
on her behalf such as mister Gall would just generally

338
00:23:00,160 --> 00:23:04,400
deny the allegations in the complaint. I was specifically interested

339
00:23:04,680 --> 00:23:08,119
in only those articles that reference directly or quoted the

340
00:23:08,160 --> 00:23:12,160
statements made against Miss Roberts in the January second, twenty

341
00:23:12,279 --> 00:23:16,759
fifteen email message from mister Goll to Miss Maxwell's subsequent

342
00:23:16,799 --> 00:23:21,039
confirmation of the statements or similar statements as those in

343
00:23:21,079 --> 00:23:25,279
the message from mister Goal. Naturally, this narrow focus is

344
00:23:25,319 --> 00:23:29,079
a smaller subset of news articles than are the articles

345
00:23:29,119 --> 00:23:33,880
addressing the overall story number thirty eight. To isolate these

346
00:23:34,000 --> 00:23:37,240
articles of interest, I generated a series of ten queries

347
00:23:37,440 --> 00:23:41,240
that specifically targeted news articles from the case that address

348
00:23:41,279 --> 00:23:45,200
the statements made against Miss Maxwell E. G. Glenn Maxwell's

349
00:23:45,240 --> 00:23:48,519
Obvious Lies. To retrieve a set of articles that directly

350
00:23:48,559 --> 00:23:52,240
related to the statements made against Miss Roberts, I employed

351
00:23:52,240 --> 00:23:56,480
a modified snowball technique, starting with one seed query, adding

352
00:23:56,599 --> 00:23:59,960
and modifying terms until I was not receiving new results.

353
00:24:00,359 --> 00:24:04,240
I also located some articles via navigating from the set

354
00:24:04,279 --> 00:24:08,240
of retrieved articles thirty nine. I set the search rage

355
00:24:08,279 --> 00:24:12,799
down from January second, twenty fifteen onward, so articles prior

356
00:24:12,839 --> 00:24:15,920
to that date were not included in the search results.

357
00:24:16,160 --> 00:24:19,440
For each article used in my analysis, I also verified

358
00:24:19,440 --> 00:24:22,440
the date that the article was published to ensure it

359
00:24:22,519 --> 00:24:26,720
was published on or after January second, twenty fifteen, and

360
00:24:26,799 --> 00:24:30,400
that the articles directly referenced in some way the statements

361
00:24:30,440 --> 00:24:34,440
made against Miss Roberts forty. An example of search engine

362
00:24:34,440 --> 00:24:38,160
results in response to one of those queries is shown

363
00:24:38,480 --> 00:24:42,880
in Fig. Three forty one. Figure three Google new search

364
00:24:42,960 --> 00:24:46,400
results for the search Glenn Maxwell's Obvious Lies, with the

365
00:24:46,480 --> 00:24:51,799
date delimiter beginning on January second, twenty fifteen. Forty two.

366
00:24:52,119 --> 00:24:55,480
I then personally verified that each article by reviewing each

367
00:24:55,599 --> 00:24:59,200
article used in my analysis directly referenced in some way

368
00:24:59,559 --> 00:25:03,240
the state it's made against Miss Roberts. Forty three, So

369
00:25:03,559 --> 00:25:06,680
articles relating to the overall story that did not mention

370
00:25:06,839 --> 00:25:10,599
Miss Maxwell's statements made against Miss Roberts were not included

371
00:25:10,920 --> 00:25:14,759
in the analysis. Articles relating to the overall story that

372
00:25:15,079 --> 00:25:18,880
referred to Miss Maxwell simply denying the charges were not included.

373
00:25:19,319 --> 00:25:23,319
Forty four. I also personally performed a site search of

374
00:25:23,480 --> 00:25:28,000
the top fifteen online media sites worldwide of articles related

375
00:25:28,079 --> 00:25:31,240
to the case, and I reviewed the results to identify

376
00:25:31,519 --> 00:25:34,559
if any of these articles referred to the statements against

377
00:25:34,559 --> 00:25:38,559
Miss Roberts. I also did the same for many countries

378
00:25:38,599 --> 00:25:42,319
specific news sites in the United States, United Kingdom, Canada,

379
00:25:42,359 --> 00:25:45,759
and Australia. Forty five. In the end, I had a

380
00:25:45,799 --> 00:25:48,720
set of one hundred and seventy eight online news and

381
00:25:48,799 --> 00:25:53,440
other articles from January two, twenty fifteen, to the date

382
00:25:53,519 --> 00:25:57,160
that I filed the report that specifically referenced the statements

383
00:25:57,200 --> 00:26:01,200
made against Miss Roberts. To conduct my analysis, as outlined below,

384
00:26:02,519 --> 00:26:05,559
each of these one hundred and seventy eight online articles

385
00:26:05,680 --> 00:26:08,799
was posted online. The one hundred and seventy eight online

386
00:26:08,839 --> 00:26:12,920
articles were distributed among one hundred and fifteen unique domain

387
00:26:12,960 --> 00:26:17,799
websites IE. Some websites posted multiple articles that contained the

388
00:26:17,839 --> 00:26:21,680
statements made against Miss Roberts forty seven. As seen from

389
00:26:21,680 --> 00:26:24,759
the list of domains that have published articles or stories

390
00:26:24,759 --> 00:26:28,480
containing references to the statement made against Miss Roberts, many

391
00:26:28,519 --> 00:26:32,559
of these domains are those of major news organizations or sources,

392
00:26:32,920 --> 00:26:38,680
including AOL News, BBC, Huvington Boast, International Business Time, Irish Times,

393
00:26:38,960 --> 00:26:43,519
MSN News, National Inquirer, New York Daily News, New Zealand Herald,

394
00:26:43,799 --> 00:26:48,160
Page six, Radar Online, Reuters, The Daily Beast, The Daily Mail,

395
00:26:48,519 --> 00:26:52,359
The Express, The Guardian, The Mirror, The Sun, The Telegraph,

396
00:26:52,599 --> 00:26:56,599
Yahoo News, et cetera. Forty eight. I then used a

397
00:26:56,640 --> 00:27:00,599
variety of web analytics, traffic services, and other sources to

398
00:27:00,720 --> 00:27:04,039
get the unique daily visitor traffic for each of these domains.

399
00:27:04,480 --> 00:27:08,119
I use multiple services when available to verify the unique

400
00:27:08,200 --> 00:27:11,400
daily visitor traffic for each of these domains, as the

401
00:27:11,440 --> 00:27:15,359
traffic services may use different techniques to arrive at their

402
00:27:15,400 --> 00:27:19,920
traffic numbers. Forty nine In some cases, conflicting unique daily

403
00:27:20,039 --> 00:27:24,079
visitor traffic numbers. I utilize the most conservative ie smallest

404
00:27:24,160 --> 00:27:27,839
number fifty. In cases where I determined I couldnot get

405
00:27:28,000 --> 00:27:31,599
unique daily visitor traffic numbers or the unique daily visitor

406
00:27:31,680 --> 00:27:34,799
traffic was not reliable in my opinion, I did not

407
00:27:34,839 --> 00:27:38,559
include the unique daily visitor traffic numbers for that domain

408
00:27:38,799 --> 00:27:42,480
in the numbers. This usually occurred for the sites with

409
00:27:42,599 --> 00:27:45,559
a smaller number of daily visitors or sites with an

410
00:27:45,559 --> 00:27:50,319
extremely large number of daily visitors. Fifty one Unique daily

411
00:27:50,519 --> 00:27:54,920
visitors measures as an industry standard web analytic metric for

412
00:27:55,119 --> 00:27:58,240
measuring people that visit a website in a given period,

413
00:27:58,480 --> 00:28:01,119
such as a week, a month, as there are normal

414
00:28:01,200 --> 00:28:06,680
daily fluctuations. Fifty two. Table one shows the unique visitors

415
00:28:06,720 --> 00:28:10,519
traffic for the listed domains that posted articles or stories

416
00:28:10,640 --> 00:28:14,599
referencing the statements made against Miss Roberts, and the associated

417
00:28:14,920 --> 00:28:18,720
unique daily visitor traffic for each of those domains, along

418
00:28:18,759 --> 00:28:22,160
with a number of articles containing the statements made against

419
00:28:22,160 --> 00:28:25,559
Miss Roberts posted on that site. All right, folks, we're

420
00:28:25,599 --> 00:28:27,920
gonna wrap up this episode here and in the next

421
00:28:27,920 --> 00:28:31,319
episode we're gonna pick up where we left off. All

422
00:28:31,359 --> 00:28:33,920
of the information that goes with this episode can be

423
00:28:34,000 --> 00:28:38,880
found in the description box. What's up, everyone, and welcome

424
00:28:38,920 --> 00:28:42,640
back to the Epstein Chronicles. In this episode, we're diving

425
00:28:42,720 --> 00:28:46,680
right back into the expert Witness Report of Bernard Jay

426
00:28:46,799 --> 00:28:53,119
Janssen Number fifty three. Table one domains that published articles

427
00:28:53,200 --> 00:28:56,440
or stories containing the statements made against Miss Roberts, with

428
00:28:56,519 --> 00:29:00,319
the domain's number of unique daily visitors and the number

429
00:29:00,319 --> 00:29:04,279
of articles containing the statements made against Miss Roberts published

430
00:29:04,359 --> 00:29:08,359
on that domain from January two, twenty fifteen, to the

431
00:29:08,440 --> 00:29:12,039
date that I filed this report fifty four. I used

432
00:29:12,119 --> 00:29:16,240
each domain's unique daily visitor account to calculate the dissemination

433
00:29:16,720 --> 00:29:19,839
of the articles containing the statements against Miss Roberts to

434
00:29:20,039 --> 00:29:24,400
various websites and potentially visitors to that site, i e.

435
00:29:24,519 --> 00:29:27,599
As visitors to the news sites. These individuals could have

436
00:29:27,640 --> 00:29:31,160
been exposed to the articles containing the statements made against

437
00:29:31,200 --> 00:29:35,440
Miss Roberts using the unique daily visitor number only once

438
00:29:35,559 --> 00:29:39,559
for each domain, regardless whether that domain published more than

439
00:29:39,640 --> 00:29:43,519
one article referring to the statements made against Miss Roberts

440
00:29:44,279 --> 00:29:49,000
Part eleven, Number fifty five. Based on my analysis as

441
00:29:49,039 --> 00:29:52,480
outlined above, my opinion is that the statements against Miss

442
00:29:52,599 --> 00:29:55,839
Roberts have been disseminated to at least one hundred and

443
00:29:55,960 --> 00:30:00,640
fifteen online media and other sites one hundred in seventy

444
00:30:00,680 --> 00:30:04,400
eight stories or articles with a combined sixty six million,

445
00:30:04,640 --> 00:30:07,599
nine hundred and nine thousand, nine hundred and sixty five

446
00:30:08,000 --> 00:30:12,440
more than sixty six million unique daily visitor traffic. Fifty six.

447
00:30:13,079 --> 00:30:15,079
I note that for many of the one hundred and

448
00:30:15,160 --> 00:30:19,240
seventy eight articles containing the statements made against Miss Roberts,

449
00:30:19,319 --> 00:30:21,160
one could get the gist of the story of the

450
00:30:21,240 --> 00:30:25,480
article directly from the article headline. I point this out

451
00:30:25,720 --> 00:30:29,200
as it's well known that people skim online news sites,

452
00:30:29,319 --> 00:30:32,599
so titles such as these would have substantial impact on

453
00:30:32,720 --> 00:30:36,400
visitors to that site. Fifty seven. This is a conservative

454
00:30:36,519 --> 00:30:40,160
estimate and more likely than not articles containing the statements

455
00:30:40,200 --> 00:30:44,000
made against Miss Roberts have been disseminated to more individuals.

456
00:30:44,480 --> 00:30:48,200
Ten why the estimate is low fifty eight. This sixty

457
00:30:48,200 --> 00:30:50,799
six million, nine hundred and nine thousand, nine hundred and

458
00:30:50,880 --> 00:30:55,200
sixty five individual unique daily traffic is a conservative estimate,

459
00:30:55,480 --> 00:30:58,160
and it is more likely than not the statements have

460
00:30:58,240 --> 00:31:03,680
received wider dissemination due to factors such as a. Although

461
00:31:03,839 --> 00:31:08,160
I spend a considerable effort to locate published articles that

462
00:31:08,240 --> 00:31:11,799
contain the statements made against Miss Roberts. It's reasonable to

463
00:31:11,880 --> 00:31:15,200
assume that I have not located all such articles by

464
00:31:15,240 --> 00:31:18,839
the time of the submission of this report, so there

465
00:31:18,839 --> 00:31:22,400
are possibly more sites with articles containing the statements made

466
00:31:22,440 --> 00:31:26,079
against Miss Roberts that are not included in my calculations,

467
00:31:26,279 --> 00:31:30,640
which would increase the dissemination of the articles b. The

468
00:31:30,680 --> 00:31:34,559
focus of my analysis was the dissemination of online articles

469
00:31:34,759 --> 00:31:38,160
containing the statements made against Miss Roberts, and I examined

470
00:31:38,319 --> 00:31:42,680
only online sources and not print broadcast media. Many of

471
00:31:42,680 --> 00:31:46,720
the media outlets that I did identify have considerable print

472
00:31:46,799 --> 00:31:51,519
distribution which are not included in my calculations, such as,

473
00:31:51,559 --> 00:31:56,000
for example, the Sun print circulation one million, seven hundred

474
00:31:56,000 --> 00:31:58,759
and forty one thousand, eight hundred and thirty eight, Daily

475
00:31:58,759 --> 00:32:02,599
Mail print circulation one million, five hundred and sixty two thousand,

476
00:32:02,720 --> 00:32:06,519
three hundred and sixty one, the Daily Telegraph print circulation

477
00:32:06,880 --> 00:32:09,640
four hundred and seventy two thousand, nine hundred and thirty six,

478
00:32:10,039 --> 00:32:13,480
The Times print circulation four hundred and two thousand, seven

479
00:32:13,599 --> 00:32:17,799
hundred and fifty two, The Guardian print circulation one hundred

480
00:32:17,839 --> 00:32:21,559
and sixty one thousand, one hundred and fifty two see

481
00:32:21,599 --> 00:32:24,799
In my analysis, I did not attempt to measure face

482
00:32:24,839 --> 00:32:28,799
to face dissemination that may have occurred after individuals may

483
00:32:28,799 --> 00:32:32,000
have read articles containing the statements made against Miss Roberts,

484
00:32:32,240 --> 00:32:36,359
which would increase the count D. Naturally, I cannot access

485
00:32:36,400 --> 00:32:39,880
certain online sources where the statements made against Miss Roberts

486
00:32:40,000 --> 00:32:44,319
may have been disseminated e. Gmail messages, social media messages,

487
00:32:44,400 --> 00:32:48,279
articles behind firewalls, et cetera. Therefore, these numbers are not

488
00:32:48,319 --> 00:32:53,480
included in my calculations. E. Also, there are possibly sites

489
00:32:53,480 --> 00:32:56,759
that have hosted articles containing the statements against Miss Roberts,

490
00:32:56,880 --> 00:32:59,839
where the articles have been removed. Therefore they are not

491
00:33:00,079 --> 00:33:04,319
included in my calculations. F For sites where more than

492
00:33:04,319 --> 00:33:08,079
one article containing the statements made against Miss Roberts are posted,

493
00:33:08,319 --> 00:33:11,359
but where I could not locate or not determine reliable

494
00:33:11,480 --> 00:33:14,839
daily unique visitor traffic, I have not included these sites

495
00:33:14,839 --> 00:33:18,200
in my calculations. There are fifty nine of the one

496
00:33:18,279 --> 00:33:21,880
hundred and fifteen fifty one point three percent, to be precise,

497
00:33:22,240 --> 00:33:25,839
where I could not get or not get verifiable traffic data.

498
00:33:26,359 --> 00:33:30,119
For example, the traffic numbers for the MSN News, Microsoft

499
00:33:30,319 --> 00:33:33,720
and Yahoo news are not separated by news and other

500
00:33:33,759 --> 00:33:37,160
services such as search, so I did not include these

501
00:33:37,200 --> 00:33:39,839
in the number of people to which the articles containing

502
00:33:39,880 --> 00:33:44,559
the statement made against were disseminated. G I did not

503
00:33:44,599 --> 00:33:48,119
include the dissemination of articles containing the statements made against

504
00:33:48,119 --> 00:33:52,279
Miss Roberts directly to social media platforms. However, many of

505
00:33:52,279 --> 00:33:56,279
the articles containing the statements made against Miss Roberts include

506
00:33:56,400 --> 00:33:59,359
counts of the number of times that individuals shared the

507
00:33:59,440 --> 00:34:02,880
article to a social media network, as shown in Table two.

508
00:34:04,480 --> 00:34:07,319
As shown in Table two, the articles containing the statements

509
00:34:07,359 --> 00:34:10,360
made against Miss Roberts have been shared thirty three thousand,

510
00:34:10,559 --> 00:34:14,679
seven hundred and fifty eight times, mostly on Facebook. Given

511
00:34:14,760 --> 00:34:17,360
that the medium number of Facebook friends is two hundred,

512
00:34:17,679 --> 00:34:21,159
this equates to a possible six million, seven hundred and

513
00:34:21,159 --> 00:34:24,639
fifty one thousand, six hundred individuals, in addition to the

514
00:34:24,719 --> 00:34:28,400
thirty three thousand, seven hundred and fifty eight individuals who

515
00:34:28,480 --> 00:34:31,679
originally shared the articles, to which the articles containing the

516
00:34:31,719 --> 00:34:35,719
statements made against Miss Roberts could have been disseminated, assuming

517
00:34:35,760 --> 00:34:39,239
these individuals are all unique and have not already read

518
00:34:39,280 --> 00:34:42,920
one of the articles. However, I did not include these

519
00:34:42,960 --> 00:34:47,800
social media shares in my calculations. Since news articles viewing

520
00:34:47,920 --> 00:34:51,760
follows a power law distribution, there is no direct linear

521
00:34:52,079 --> 00:34:55,880
ratio of number of social media shares to readership. There

522
00:34:56,079 --> 00:34:59,920
is published research that does report average views of an

523
00:35:00,119 --> 00:35:03,679
article on a news website and also average social media

524
00:35:03,719 --> 00:35:07,360
shares in direct calculation with the numbers from the article

525
00:35:07,760 --> 00:35:11,239
twenty three article views per social media share. Using thirty

526
00:35:11,239 --> 00:35:14,239
three thousand, seven hundred and fifty eight social media shares,

527
00:35:14,679 --> 00:35:17,840
this would be seven hundred and seventy six thousand, four

528
00:35:17,880 --> 00:35:21,800
hundred and thirty four article views. However, this ratio would

529
00:35:21,880 --> 00:35:25,360
vary by website, number of daily unique visitors, types of

530
00:35:25,400 --> 00:35:31,320
news articles, time of accumulating shares, and possibly other factors. Plus,

531
00:35:31,480 --> 00:35:34,400
this number would not account for the people receiving the

532
00:35:34,400 --> 00:35:38,079
social media share that viewed the title post and snippet

533
00:35:38,159 --> 00:35:40,320
but did not click on the shared to view the

534
00:35:40,440 --> 00:35:45,880
article on the website, thereby undercounting views of the articles. Also,

535
00:35:46,039 --> 00:35:49,119
given the topical nature of the underlying news story, one

536
00:35:49,119 --> 00:35:52,880
could expect lower social media sharing but higher article viewing,

537
00:35:53,119 --> 00:35:56,039
as people will tend to read articles on such topics

538
00:35:56,119 --> 00:35:59,480
privately but not share on social media, so I would

539
00:35:59,519 --> 00:36:02,960
expect this social media number itself to be an undercount

540
00:36:03,559 --> 00:36:06,400
h I did not include articles that link to one

541
00:36:06,440 --> 00:36:09,920
of the articles containing statements made by Miss Roberts in

542
00:36:09,960 --> 00:36:14,719
my calculations of dissemination. Unless the article directly mentioned the

543
00:36:14,760 --> 00:36:17,800
statements made against Miss Roberts, I did not include that

544
00:36:17,920 --> 00:36:23,159
article in my calculations. So unless the linking article actually mentioned, referenced,

545
00:36:23,239 --> 00:36:26,400
or quoted the statements made against Miss Roberts, I did

546
00:36:26,400 --> 00:36:30,639
not include it in my calculations. Many sites published multiple

547
00:36:30,719 --> 00:36:34,679
articles on multiple days that quoted or referenced the statements

548
00:36:34,679 --> 00:36:37,800
made against Miss Roberts. However, I did not use these

549
00:36:37,880 --> 00:36:41,880
multiple publication dates from the same site in my calculations

550
00:36:42,079 --> 00:36:45,639
of unique visitor traffic. If a domain published only one

551
00:36:45,760 --> 00:36:49,679
article containing the statements against Miss Roberts, then I directly

552
00:36:49,800 --> 00:36:53,039
used the unique daily visitor number. If a domain published

553
00:36:53,079 --> 00:36:57,159
multiple articles concerning the statements against Miss Roberts, I did

554
00:36:57,199 --> 00:37:00,719
not count the traffic for the subsequent articles containing the

555
00:37:00,760 --> 00:37:04,840
statements made against Miss Roberts, even though research shows that

556
00:37:04,920 --> 00:37:09,000
repeat traffic to websites is generally only about thirty percent,

557
00:37:09,400 --> 00:37:13,119
meaning that thirty percent of the traffic would be unique. However,

558
00:37:13,480 --> 00:37:16,639
I was not comfortable using this figure given the nature

559
00:37:16,679 --> 00:37:19,960
of these sites, which might have higher repeat visitors day

560
00:37:20,000 --> 00:37:23,719
to day. Therefore, I did not include the unique visitors

561
00:37:23,840 --> 00:37:28,079
to multiple articles in my calculations. Finally, I did not

562
00:37:28,199 --> 00:37:30,840
include the count of people who may have been searching

563
00:37:31,199 --> 00:37:34,079
and may have seen the statements made against Miss Roberts

564
00:37:34,119 --> 00:37:37,639
in the search results without needing to visit the actual articles,

565
00:37:37,920 --> 00:37:43,000
as shown in Figure four. Fig four example of search

566
00:37:43,039 --> 00:37:46,320
results with the statements made against Miss Roberts appearing in

567
00:37:46,360 --> 00:37:50,679
the results snippets requiring no need to visit the articles themselves.

568
00:37:52,000 --> 00:37:56,039
Accuracy of the traffic numbers, and additional verification fifty nine

569
00:37:56,519 --> 00:37:59,800
concerning the accuracy of the analysis. The number of domains

570
00:37:59,800 --> 00:38:03,519
where the statements made against Miss Roberts have been disseminated

571
00:38:03,639 --> 00:38:07,559
is reliable as this is straightforward to verify, ie the

572
00:38:07,639 --> 00:38:10,320
article is either posted on a site or it is not.

573
00:38:10,920 --> 00:38:14,920
If anything, that is an undercount, as some domains, for example,

574
00:38:15,000 --> 00:38:18,519
may have removed such articles, making them no longer available.

575
00:38:19,199 --> 00:38:21,960
There are possibly articles containing the statements that I have

576
00:38:22,039 --> 00:38:24,480
not been able to locate by the time that I

577
00:38:24,559 --> 00:38:29,280
submit this report. Sixty concerning traffic numbers for domains. A

578
00:38:29,360 --> 00:38:33,639
unique visitor is typically identified by an identifier stored in

579
00:38:33,679 --> 00:38:37,519
a text file which is based on an individual computers browser.

580
00:38:37,880 --> 00:38:42,599
Although more sophisticated methods are also being used. In locating

581
00:38:42,599 --> 00:38:47,039
traffic numbers for the domains, I used multiple services when available,

582
00:38:47,199 --> 00:38:50,960
and attempted to verify via other sources. In case with

583
00:38:51,159 --> 00:38:55,280
varying traffic data, I utilize the most conservative IE's smallest

584
00:38:55,360 --> 00:38:59,920
number available, sixty one. I also verified findings from my

585
00:39:00,000 --> 00:39:03,719
my analysis via other methods and my own experience in training.

586
00:39:04,079 --> 00:39:07,760
For example, there are periods of increased publishing of articles

587
00:39:07,920 --> 00:39:11,679
containing the statements made against Miss Roberts and related stories.

588
00:39:12,320 --> 00:39:16,440
One would expect increases in associated searching during these periods.

589
00:39:16,960 --> 00:39:20,239
Using the Google keyword tool, which provides search volume for

590
00:39:20,280 --> 00:39:24,320
search queries by month, I examined search volume for January

591
00:39:24,400 --> 00:39:27,400
twenty fifteen to the date that I filed this report.

592
00:39:27,880 --> 00:39:31,119
There was fifty four thousand, five hundred and eighteen percent

593
00:39:31,199 --> 00:39:35,440
increase in search volume for the keywords Virginia Roberts and

594
00:39:35,559 --> 00:39:39,280
Glenn Maxwell and January of twenty fifteen relative to the

595
00:39:39,320 --> 00:39:42,639
prior seven months in the US, and forty four thousand,

596
00:39:42,920 --> 00:39:46,400
eight hundred and twenty two percent increase for the United Kingdom.

597
00:39:46,599 --> 00:39:50,719
In January twenty fifteen relative to the prior seven months.

598
00:39:51,199 --> 00:39:54,000
This is in line with the increase in posting of

599
00:39:54,119 --> 00:39:57,280
articles during the same month, so once he is the

600
00:39:57,320 --> 00:40:00,920
expected increase in searching for key t terms based on

601
00:40:01,000 --> 00:40:05,800
the increase of posting articles. Sixty two. Figure five shows

602
00:40:06,039 --> 00:40:09,840
increase in searching volume in January twenty fifteen for the

603
00:40:09,960 --> 00:40:14,400
US and UK relative to the previous seven months. Sixty three.

604
00:40:14,880 --> 00:40:19,239
Figure five increase in search volume in January twenty fifteen

605
00:40:19,519 --> 00:40:22,719
for the US and the UK relative to the previous

606
00:40:22,760 --> 00:40:27,039
seven months for the key phrase Virginia Roberts and Goalan Maxwell.

607
00:40:27,679 --> 00:40:31,760
Summary sixty four. The statements made against Miss Roberts have

608
00:40:31,880 --> 00:40:35,199
been disseminated to at least one hundred and fifteen online

609
00:40:35,239 --> 00:40:38,360
media or other sites in one hundred and seventy eight

610
00:40:38,400 --> 00:40:42,519
separate stories or articles with a combined sixty six million,

611
00:40:42,760 --> 00:40:45,440
nine hundred and nine thousand, nine hundred and sixty five

612
00:40:45,719 --> 00:40:50,440
individual unique visitors from January second, twenty fifteen to the

613
00:40:50,519 --> 00:40:54,000
date that I filed this report inclusive more likely than not,

614
00:40:54,400 --> 00:40:58,119
this is a conservative estimate. Sixty five. Right to amend.

615
00:40:58,639 --> 00:41:02,559
Although I have had access to materials publicly available pertaining

616
00:41:02,559 --> 00:41:05,199
to claims in this dispute. I have not been able

617
00:41:05,239 --> 00:41:08,239
to review all the material by the deadline for completion

618
00:41:08,400 --> 00:41:11,559
of this report. I reserve the right to review and

619
00:41:11,679 --> 00:41:15,280
rely on any such material, including at the time of trial.

620
00:41:15,599 --> 00:41:18,639
I also reserve the right to issue a supplemental or

621
00:41:18,639 --> 00:41:22,719
an amended report if my review of such material results

622
00:41:22,719 --> 00:41:27,239
in any significant change or addition to my opinion. Respectfully

623
00:41:27,280 --> 00:41:32,440
submitted Doctor Bernard Jay Jansen, dated September ninth, twenty sixteen.

624
00:41:32,920 --> 00:41:35,000
All right, folks, that's going to do it for this one.

625
00:41:35,360 --> 00:41:38,199
All of the information that goes with this episode can

626
00:41:38,239 --> 00:41:40,440
be found in the description box.

