Plaintiff Reed Construction Data, Inc. (“Reed”) brought this action against Defendants McGraw-Hill Companies, Inc., (“McGraw-Hill”), five unidentified natural persons, and five unidentified entities,
For the reasons that follow, McGraw-Hill’s motion to exclude is granted, and its motion for summary judgment is granted in part and denied in part.
I. Background
The parties are in the business of providing construction product information (“CPI”). CPI began at the turn of the century with written newsletters that provided information on construction projects so that subscribers—ordinarily those in the building trades—could bid for jobs. See F.W. Dodge Co. v. Construction Info. Co.,
CPI customers generally prefer a service that lists more projects to one that lists fewer projects, all else being equal. The parties, knowing this, compete vigorously over who has the most projects in its database. They also endeavor to protect the information in their databases from unauthorized use. The user agreements that Reed’s and McGraw-Hill’s customers must sign limit the permissible uses of the information in the database, which do not include creating comparisons with competing CPI providers.
Around 2004, McGraw-Hill began to access Reed Connect for two purposes. First, McGraw-Hill wanted to create comparisons that it believed would be favorable to its Dodge Network. To do this, it needed to know how many projects were listed on Reed Connect. Second, McGraw-Hill wanted to be aware of changes in the marketplace and ensure that Reed was not listing significant projects that it had missed. To do this, McGraw-Hill needed to know what projects Reed was listing. McGraw-Hill endeavored to conceal that it was subscribing to Reed Connect. McGraw-Hill paid consultants—referred to internally as “spies”—to subscribe to Reed Connect. The consultants would create fake entities
Once it had access to Reed Connect, McGraw-Hill hired GFK Roper Public Affairs & Media, Inc., (“Roper”) to generate product comparisons. Roper advertised itself as an independent entity evaluating the two services. But, according to Reed, Roper did little more than send someone to sit in a room and watch a McGraw-Hill employee run searches on the two services. Roper made no effort to ensure that the two searches were fairly comparable. For example, McGraw-Hill actually used one of its other (presumably superior) products in the tests but said that it had used the Dodge Network. Further, the searches were selected so as to emphasize McGraw-Hill’s strengths and minimize those of Reed. Because Reed had superior listings for projects worth under $1 million, McGraw-Hill limited the comparisons in the Roper Reports to projects worth more than $1 million. Similarly, McGraw-Hill ran the searches so as to capture projects that needed to be completed expeditiously—these projects are called “ASAPs”—in its database but not to capture them in Reed’s database. These comparisons resulted in a report in which McGraw-Hill boasted “71% more planning projects, 78% more bidding projects, and 71 % more digitized plans and specifications.” (Plaintiffs Exhibit 484 at 33.) Ultimately, Reed had its own expert analyze the data, and came to the conclusion that the Roper reports were biased in McGraw-Hill’s favor.
While McGraw-Hill was distributing the Roper reports, it was also conducting ad hoc comparisons of the two services in response to questions from customers. According to Reed, McGraw-Hill issued 1,235 unique ad hoc comparisons based on its unauthorized access to Reed Connect. When customers wanted to compare the services, McGraw-Hill frequently advised them to search for a particular project in both services, knowing all the while that the suggested project would be found only in the Dodge Network. McGraw-Hill also issued a number of state and local comparisons of the two products that were generally similar to the Roper reports in both content and methodology. At the same time, McGraw-Hill touted a five-to-one advantage in “exclusive” projects—those that McGraw-Hill covered but Reed did not— in its communications with customers, particularly large customers. In reality, Reed contends, the true ratio was closer to 2.6-to-one.
On at least a few occasions, McGraw-Hill used its access to Reed Connect to find new projects. Reed describes this as “stealing.” (Dkt. No. 156, Plaintiffs Memorandum of Law at 35 [hereinafter “Plaintiffs Memorandum”].) McGraw-Hill describes it as “isolated potential violations of McGraw-Hill’s rules in which McGraw-Hill may have used Reed Connect to obtain a source of project leads.” (Dkt. No. 150, Defendant’s Memorandum of Law, at 15 n. 6 [hereinafter “Defendant’s Memorandum”].) McGraw Hill claims that it had “strict rules” (id.) in place to regulate the use of its illicitly obtained Reed Connect access. (These rules were, fittingly, called the “Roper Rules.”) The parties agree that McGraw-Hill broke these rules at least a few times and used its access to Reed Connect for purposes other than generating comparisons.
II. Motion to Exclude Dr. Warren-Boulton’s Testimony
Reed has retained Dr. Warren-Boulton to answer four questions related to this case. First, is there a distinct national market for CPI sufficient to trigger § 2 of the Sherman Act? 15 U.S.C. § 2. Second, did McGraw-Hill exercise power in that market? Third, did McGraw-Hill’s misconduct allow it to keep its market power? And, finally, did McGraw-Hill’s misconduct damage Reed? The parties refer to Dr. Warren-Boulton’s answers to the first three questions as his “liability opinion”
A. Regression Analysis
To support both his liability and damages opinions, Dr. Warren-Boulton conducted statistical regression analyses of Reed’s and McGraw-Hill’s pricing and service data. A brief overview of regression analysis may be helpful. The basic regression method is simple: isolate the effect of one variable (the “independent variable”) on another variable (the “dependent variable”) by holding all other potentially relevant variables (the “control variables”) constant. By controlling for other factors that might influence the dependent variable, one “regresses” the influence of the independent variable on the dependent variable. The number associated with that influence is called a “coefficient.”
Imagine, for example, that one wanted to isolate the effect of location on the price of an apartment. One would start by comparing the prices of apartments (the dependent variable) of the same size, with the same number of bathrooms, amenities, etc. (the control variables), across different locations (the independent variable). Regression analysis formalizes that method by solving an equation of the dependent variables with the independent and control variables for the linear
Once the line is found, the analyst must test the validity of the results. To do this, analysts run a series of mathematically complicated tests to answer two uncomplicated questions: (1) How well do the data fit the model? And (2) are the residuals (the spaces between the data points and the regression line) significantly correlated with any of the control variables or the independent variable? To simplify: if the answer to (1) is “not well,” the analyst has a problem of statistical significance; if the answer to (2) is yes, she has probably omitted an important variable from her model.
The fundamental goal of regression analysis is to convert an observation of correlation (e.g., apartments in Manhattan cost more than those in Queens) into a statement of causation (apartments in Manhattan cost more than those in Queens because they are in Manhattan, not because they are larger or more luxuriously appointed). Models called “residual models” attempt to do this by controlling for every observable variable that might have an effect on the dependent variable and seeing if the residuals are significantly correlated with an explanatory variable. Dr. Warren-Boulton’s is a residual model.
B. Dr. Warren Boulton’s Method
Dr. Warren-Boulton was charged with determining whether McGraw Hill’s “misconduct” damaged Reed. Reed has already conceded, based on the evidence following extensive discovery, that only a handful of individual customers relied on McGraw-Hill’s allegedly false product comparisons. However, Warren-Boulton found what he calls a “price effect.” He hypothesized that customers paid more for McGraw-Hill’s service than they otherwise would have because of McGraw-Hill’s misconduct. He further hypothesized that the amount of McGraw-Hill’s gain was the amount of Reed’s loss—that where McGraw-Hill’s prices were inflated, Reed’s were deflated.
To isolate the price effects of McGraw-Hill’s misconduct, Warren-Boulton proposed a “benchmark” model, which is a form of residual model where unobservable data (misconduct, in this case) is extrapolated by comparing observable data to a known benchmark statistic. Warren-Boulton’s benchmark model compares the parties’ prices for national services during the relevant period with the parties’ prices for local services during the relevant period. He calls the ratio of national to local pricing (for each party) the “price index ratio.”
To make the benchmark model work, Warren-Boulton assumes that national pricing is affected by McGraw-Hill’s misconduct significantly more than local pricing is and that the effects of McGraw-Hill’s misconduct will grow weaker over time (because the misconduct ceased in approximately 2008). The data are indexed to a fixed time in 2013 by which Warren-Boulton assumes that the effects
To test his hypothesis, Warren-Boulton constructed two
C. Regression Analysis under Rule 702
The admission of expert evidence is governed by Federal Rule of Evidence 702, which codified the Supreme Court’s holding in Daubert v. Merrell Dow Pharmaceuticals,
The Court’s task under Daubert is to determine whether the proffered methodology constitutes “good science”
Courts, though, must not determine the credibility of the expert’s proffered testimony or compare two experts for the purpose of determining which of them is correct. Rather, Daubert and Rule 702 instruct courts to exclude only testimony that is unscientific or unlikely to assist the trier of fact in the determination of a relevant issue. E.g., Ruiz-Troche v. Pepsi Cola of Puerto Rico Bottling Co.,
In the context of regression analysis testimony, some (slightly) more specific standards have emerged in the case law. Questions about the admissibility of regression analyses often arise in two kinds of eases: (1) securities fraud actions in which the plaintiff needs to prove loss-causation using stock-price data, and (2) employment discrimination cases in which the plaintiff needs to prove disparate impact or disparate treatment using employment data. E.g., Bazemore v. Friday,
First, to be admissible, a regression analysis must examine an appropriate selection of data. When constructing a benchmark statistic, the regression analyst may not “cherry-pick” the time-frame or data points so as to make her ultimate conclusion stronger. Bricklayers,
Second, to be admissible, a regression analysis must be the product of a consistently followed methodology. Some believe that statistics is more an art than a science. Cf. Mark Twain, Chapters from My Autobiography, 186 N. AMERICAN REV. 161, 166 (1907) (expressing the view that there are “three kinds of lies: lies, damned lies, and statistics”). But for the purposes of Daubert, the practice of the art must yield to predictable and justifiable methodology. Again, Bricklayers is instructive. There, the regression analyst needed to create a benchmark model of defendants’ stock prices against which to measure the volatility of the prices on the event days. But when he constructed that background model, he excluded any day on which any news came out about the defendants’ business that could have had an effect on the stock price—as opposed to days on which allegedly corrective news came out. The district court found this to be impermissible cherry-picking as well: there was no valid reason to exclude days on which news that was not the subject of the suit was revealed. Id. But the appellate court disagreed. Id. at 93-94. It held that because the plaintiffs had presented learned scholarship supporting the proposition that the price of stock can be unusually volatile on days when material news is released, it was fair for plaintiffs’ expert to exclude those days. Whether his methodology unfairly singled out the days on which allegedly false or corrective disclosures were made was a matter for the jury to decide. Id.
Finally, to be admissible, a regression analysis must control for the “major factors” that might influence the dependent variable. Bazemore, 478 U.S.
D. Problems with Dr. Warren Boul-ton’s Method
This Court held a Daubert hearing at which Dr. Warren-Boulton testified about his regression analysis and the opinions he derived from it. In rebuttal, McGraw-Hill called Dr. Sumanth Addanki to examine Dr. Warren-Boulton’s work and opine on its potential flaws. Neither party challenges the qualifications of the other’s expert. Reed has not challenged Dr. Addanki’s testimony under Rule 702. The Court turns to its assessment of whether Dr. Warren-Boulton’s regression analysis is admissible under Rule 702.
1. Model Design
McGraw-Hill objects to Dr. Warren-Boulton’s model design in two respects. Both objections concern whether—assuming Dr. Warren-Boulton’s statistical methodology is correct—the results stand for what he claims they do. First, McGraw-Hill objects to the use of local pricing data as a baseline statistic. Second, McGraw-Hill objects to Dr. Warren-Boulton’s assumption that the market for CPI might manifest a price effect without any noticeable quantity effect.
Dr. Warren-Boulton’s model is premised on the theory that McGraw-Hill’s misconduct would create a gap in the price indices that begins at the start of the misconduct and gradually narrows as the misconduct recedes into the past. This, in turn, is based on the assumption that McGraw-Hill’s misconduct worked its ill effects almost exclusively in the market for national CPI. McGraw-Hill argues that this assumption is inconsistent with the evidence in the case and with Dr. Warren-Boulton’s other findings. Dr. Warren-Boulton’s liability opinion concludes that the national market for CPI is a distinct one and is, therefore, subject to myriad different market forces, any one of which could be the cause of the narrowing gap that Dr. Warren-Boulton attributes to McGraw-Hill’s misconduct. Indeed, during his testimony he acknowledged that “Reed presumably has been becoming a more effective competitor. And so you’ve
In his declaration in support of Reed’s position, Dr. Warren-Boulton responds to the criticism that local pricing is an inappropriate baseline statistic by arguing that if misconduct had an effect on both national and local prices, his model would underestimate damages because the baseline against which they are measured would be declining. The problem with this argument is that it is not responsive to McGraw-Hill’s concerns. McGraw-Hill is principally concerned that another unobserved variable—increased competition— can explain the narrowing gap. Dr. Warren-Boulton has not answered this concern—a significant one that, coupled with other flaws in his methodology discussed below, renders the model inadmissible under Daubert.
Second, McGraw-Hill takes issue with a consequence of Dr. Warren-Boulton’s model. This argument takes the form of a reductio ad absurdum: if Dr. Warren-Boulton’s conclusion is true, it leads to another conclusion that must be false and, therefore, Dr. Warren-Boulton’s conclusion must be false. E.g., Leigh S. Cauman, First-Order Logic: an Introduction 36 (1998). Specifically, Dr. Warren-Boulton finds a price effect without any corresponding quantity effect: that is, he finds that the misconduct differentially affected the prices that customers were willing to pay for each of the two competitors’ services, but had no effect on how much customers chose one over the other. This goes against standard microeconomic theory, which predicts that in almost all markets, an increase in the price of a good leads to a decrease in the quantity of that good the market demands. E.g., Roger A. Arnold, Microeconomics 139 (2010). The types of goods for which this prediction does not hold true are perfectly inelastic goods, Giffen goods, and Veblen goods. Perfectly inelastic goods are defined by the fact that people will buy the same quantity regardless of their price. (Oxygen would be one, if it were for sale.) Id. Giffen goods are low-quality goods for which an upward change in price produces an upward change in quantity demanded because consumers can no longer afford superior goods. (If the price of bread goes up, those with very little money might buy more of it because they can no longer afford meat.) Alfred Marshall, Principles of Economics (1895).
Dr. Warren-Boulton responded to this objection by noting that the CPI market is characterized by negotiated prices. That is, there is no price set in advance by the seller; each CPI subscription is negotiated individually. This, Dr. Warren-Boulton testified, means that one could reasonably expect a price effect without a quantity effect because the price each consumer is willing to pay is a function of the price of the competing product and the relative value of the competing product and the negotiated product.
2. Omitted Variable Bias
Omitted-variable problems—as the name suggests—arise when important control variables are left out of the model. Imagine trying .to calculate the effect of location on the price of an apartment without considering the size of the apartments in the sample. One might end up with what looks like a correlation between location and price, but the result would be meaningless because the entire effect could just as easily be explained by the fact that larger apartments are concentrated in certain locations. McGraw-Hill argues that Warren-Boulton’s first model (the one that omitted construction volume data) suffers from this flaw because construction volume data—which is a measurement of the overall amount of construction spending in the nationwide economy— could explain the declining gap between national and local prices.
Regression analyses are admissible even where they omit important variables so long as they account for the “major variables” affecting a given analysis. Bazemore v. Friday,
To rebut the contention that construction volume is an essential variable,
McGraw-Hill offers two objections to this reasoning. First, it goes against generally accepted statistical practice. Statisticians do not ordinarily exclude a variable merely because its effect could be ambiguous. McGraw-Hill’s expert, Dr. Addanki, describes the problem: “When I don’t know what the effect of a variable is going to be, to leave it out is to elevate ignorance to arrogance.” (Hrg. Tr. at 77.) Second, McGraw-Hill notes that there are very good reasons to believe that construction-volume data will have a significantly larger effect on the national market than on the local market—namely, that national firms (which, presumably, are the only customers in the market for national CPI) were hit harder by the 2008 recession than were state and local firms. Finally, the Court notes that Warren-Boulton concedes that the price indices are highly negatively correlated with the construction-volume data, indicating that it has an effect and that the effect is significant and negative. These three observations are sufficient to show that construction-volume data is a “major” variable under prevailing case law, and, therefore, its omission is fatal to Dr. Warren-Boulton’s first model.
3. Multicollinearity
Dr. Warren-Boulton added construction volume data to his model in response to McGraw-Hill’s contention that it might be causing the result that Dr. Warren-Boul-ton attributes to McGraw-Hill’s misconduct. But when Dr. Warren-Boulton added construction volume data to his model, a new problem arose: multicollinearity.
Multicollinearity problems typically arise when the independent variable is correlated with one of the control variables. If the control variables move together with the independent variable, it becomes impossible to isolate the effect of the independent variable on the dependent variable—which, after all, is the goal of regression analysis. The multicollinearity problem manifests itself through low statistical significance of the independent variables. Because of the correlation • between the explanatory variables, there is insufficient variation in the data set to produce statistically significant results.
When Warren-Boulton added national construction volume to his regression analysis, he ran into a severe multicollinearity problem. It turns out that construction volume is highly correlated with both the independent and dependent variables. When construction volume is added to the model, the explanatory power of the quarterly time variables plummets. This, McGraw-Hill contends, is fatal to the model. McGraw-Hill argues that the effect captured by Warren-Boulton’s model is really due to the construction-volume data, not McGraw-Hill’s misconduct.
Warren-Boulton responds by arguing that the effect cannot be due to the national construction-volume data because when that data is analyzed on its own it produces bizarre results. When considered alone, construction volume has positive effects on McGraw-Hill national prices and negative effects on McGraw-Hill local prices—but it has the reverse effects in both categories for Reed prices. Thus, Warren-Boulton argues, the price effect cannot be explained by construction volume—and that means it is explained by McGraw-Hill’s malfeasance.
4. Statistical Insignificance
McGraw-Hill also objects that Dr. Warren-Boulton’s models are not statistically significant to any reasonable degree and that this alone ought to doom his regression analysis. Specifically, McGraw-Hill contends that Dr. Warren-Boulton’s second model—the one in which he included construction-volume data—produces no statistically significant result for the quarterly time variables.
To the extent that McGraw-Hill’s objections on this point center on model two, they are duplicative of its objections based on multicollinearity. The lack of statistical significance in model two arises only because of the addition of construction-volume data, which was the source of the multicollinearity problem. Thus, without the construction-volume data, the analysis does not suffer from a problem of statistical significance. McGraw-Hill’s concerns about multicollinearity are addressed above. And to the extent that McGraw-Hill’s objections center on Dr. Warren-Boulton’s calculation of the price indices themselves, the objections are ■ unavailing. There was some confusion at the Daubert hearing about which model was actually Dr. Warren-Boulton’s “first.” In order to construct the price indices themselves, Dr. Warren-Boulton ran regressions on the pricing data for the purpose of controlling for the quantity and the quality of the data purchased in each CPI subscription. McGraw-Hill argued that these statistics themselves were flawed because Dr. Warren-Boulton did not control for construction-volume data when calculating them. But the price indices focus only on what the prices of the services were, not what caused them to move. To answer that question, Dr. Warren-Boulton needed to control for factors internal to the products themselves. Logically, construction-volume data has no relevance to that question. These objections are not persuasive and do not contribute to the Court’s finding that Dr. Warren-Boulton’s testimony is inadmissible under Rule 702.
5. Pooling
McGraw-Hill objects to Warren-Boul-ton’s choice to combine national and local pricing data in his regressions. Combining data in this way is called “pooling.” McGraw-Hill argues that under prevailing statistical methodology, pooling is inappropriate because Warren-Boulton’s own assumptions suggest that national and local prices react differently to the important factors he seeks to measure and because the data indicate that the two markets are different in important ways.
Pooling problems arise when data from meaningfully different categories are combined together in a regression analysis. This would be like trying to calculate the
Nonetheless, Warren-Boulton counters this objection by noting that the number of national observations is comparatively low and that the risk of manipulation from pooling the data is small. On his view, national and local data should similarly respond to changes in the control variables, even if they manifest significantly different responses to the independent variable. Similarly, Warren-Boulton claims that the unpooled data lead to “economically nonsensical” results. (Hrg. Tr. at 107.) At the Daubert hearing, Dr. Warren-Boulton said that his decision to pool the data was based on the fact that the unpooled data lead to results that violated his “prior expectations.” (Hr’g Trans, at 87.) McGraw-Hill’s rebuttal expert, on the other hand, ran the regression analysis with the unpooled data and claims simply to have reached the opposite result that Warren-Boulton did—running the regressions on the data sets separately, Dr. Ad-danki claims to have found no damages at all.
The issue with Dr. Warren-Boulton’s two responses is that they do not rest on qualities of his expertise. Warren-Boul-ton is, by training, an economist and an econometrician. He is qualified to opine only on areas within the scope of those fields. Ultimately, Dr. Warren-Boulton decided to pool the data because “it made sense to do it this way.” (Dr. Warren-Boulton Deposition Trans. 948:17-22.) He ultimately conceded that his prior expectation is “not sufficient to justify [his] decision to pool.” (Hrg. Tr. at 128.) He
6. Robustness
The final concern with Dr. Warren-Boulton’s methodology ties in with the penultimate one: it is too manipulable to qualify as “scientific” within the meaning of Rule 702. This concern takes its most persuasive form in its criticism of Dr. Warren-Boulton’s choice of the end dates for his data sets. In creating a benchmark model, Dr. Warren-Boulton must compare the price index ratios to a fixed point in time when, he supposes, the effects of McGraw-Hill’s misconduct will have fully dissipated. Dr. Warren-Boulton concedes that this time frame is, more or less, arbitrary. That alone is not necessarily a fatal problem because, indeed, some judgment is called for in any statistical model and, so long as the model is robust with respect to different choices of arbitrary points, there is no pressing issue. But here the choice of the end-date for the observations in Dr. Warren-Boulton’s analysis has an outcome-determinative effect. Dr. Addanki recreated Dr. Warren-Boulton’s model but changed the end-dates—keeping them well within the range that Dr. Warren-Boulton described as “very conservative”—and found that it yielded no damages. (Compare Defendant’s Exhibit 7, at 31, with Warren Boulton Declaration, at ¶¶ 37-38.)
Generally, issues such as the choice of a reasonable time-frame in which to examine data are issues of the expert’s credibility that ought to be decided by the jury. See Bazemore,
E. Conclusion
Reed, as the proponent of the expert testimony, must establish by a preponderance of the evidence that Dr. Warren-Boulton’s testimony is admissible under Rule 702. Moore v. Ashland Chem. Inc.,
III. Summary Judgment Standard
Summary judgment is appropriate when “there is no genuine dispute as to any material fact and the movant is entitled to judgment as a matter of law.” FED. R. CIV. P. 56. A fact is material if it “might affect the outcome of the suit under the governing law,” Anderson v. Liberty Lob
The initial burden of a movant on summary judgment is to provide evidence on each element of her claim or defense illustrating her entitlement to relief. Vermont Teddy Bear Co. v. 1-800 Beargram Co.,
IV. Lanham Act
Reed has brought claims under Section 43(a) of the Lanham Act, which provides a cause of action against
[a]ny person who ... uses in commerce ... any ... false or misleading description ... or misleading representation of fact, which ... in commercial advertising or promotion, misrepresénts the nature, characteristics, qualities, or geographic origin of his or her or another person’s goods, services, or commercial activities.
15 U.S.C. § 1125(a)(1). Two theories of recovery are available to plaintiffs under the Lanham Act. Time Warner Cable, Inc. v. DIRECTV, Inc.,
Under either theory, plaintiffs must prove that the statement was “material[ ]” to consumers and “involved an inherent ... quality of the product.” Nat’l Basketball Ass’n v. Motorola, Inc.,
Reed alleges the following false or misleading statements:
• Roper’s Involvement: The six Roper Reports stated that Roper “oversaw the entire comparison process” and “ensured that comparable categories were used in the comparison.” Reed claims that “a jury could conclude ... that Roper’s involvement was a sham.” (Plaintiff’s Memorandum, at 47.)
• Roper Report Comparisons: The Roper Reports overstated the number of projects in McGraw Hill’s database as compared to Reed’s database. Specifically, (1) one Roper Report compared Reed’s database to Dataline, one of McGraw-Hill’s other projects, rather than Dodge Network; (2) McGraw Hill excluded some of Reed’s utilities projects in their comparisons; (3) McGraw Hill double-counted some of its own projects; (4) McGraw Hill included its own ASAP projects while excluding Reed’s ASAP projects from the comparisons; and (5) McGraw Hill selected search criteria that were designed to highlight its relative strengths. Reed claims that items 1, 3, and 4 were literally false while 2 and 5 produced misleading project counts. (Defendant’s Memorandum, at 49-50.)
• Ad Hoc Comparisons: McGraw Hill provided ad hoc comparisons of search results from McGraw Hill’s and Reed’s databases. Reed alleges that these ad hoc comparisons replicated the methodological flaws in the Roper Reports (detailed above) and thus were literally false.
• Stale Executive Briefs: From 2008 through 2012, McGraw Hill published Executive Briefs which printed Roper Report comparisons from 2007 despite the availability of less favorable comparisons from 2008. Reed claims that this staleness conveyed a “false and misleading impression.” (Plaintiffs Memorandum, at 50.)
• Claims of Exclusivity: Occasionally, McGraw Hill informed customers that it had exclusive access to projects that were actually also available on Reed Connect. McGraw Hill further claimed that it knew about these exclusives because of customer tips rather than because of its own illegal access. Reed alleges that both the statement of exclusivity and the description of provenance were literally false.
• Claimed Project Ratios: McGraw Hill informed customers that it had a 5:1 advantage over Reed’s database in exclusive projects and a 3:1 advantage in all projects. Reed claims that these statements were literally false.
A. Advertising
As a preliminary matter, the Court must determine whether the challenged statements constitute “advertising and promotion” within the meaning of the Lanham Act. The Second Circuit has adopted a three-part inquiry for determining what constitutes “advertising or promotion.” Fashion Boutique of Short Hills, Inc. v. Fendi USA, Inc.,
Before the Court can consider whether the statements were sufficiently distributed, it must answer a preliminary question: are the statements to be considered together or in isolation? The ad hoc comparisons, for example, were distributed to many different customers, sometimes one at a time. Calling a single customer is not “advertising or promotion” within the meaning of Fendi, so if the comparisons are considered one by one, many will not make the cut. McGraw-Hill argues that the Court should look at the statements one by one, while Reed argues that the Court should consider the statements as part of an overall campaign of publicity.
Courts assessing Lanham Act claims are to consider an allegedly false “advertisement ... in its entirety,” Avis Rent A Car Sys., Inc. v. Hertz Corp.,
McGraw Hill cites Seven-Up Co. v. Coca-Cola Co.,
Similarly, in Gordon & Breach—an influential opinion relied upon by several circuit courts in formulating their tests for what constitutes advertisement—Judge Sand described an allegedly misleading advertising and promotional campaign comprising several elements.
Therefore, the question is whether, taken as a whole, McGraw-Hill’s efforts constituted “advertising” within the meaning of the Lanham Act. The Act’s “reach is broader than merely the classic advertising campaign.” Gordon & Breach,
Unlike the individual conversations in Licata, the ad hoc comparisons at issue in this case were an undisputed part of a broader campaign to compete with Reed and to tout the supposed advantages of the Dodge Network over Reed Connect. In that context, what would ordinarily seem like individual conversations take on added significance. There is evidence that McGraw-Hill management directed individual salespeople to disseminate several of the allegedly false or misleading statements. (E.g., Plaintiffs Exhibit’s 512-518.) There is little difference between this and a traditional advertising campaign in either purpose or effect. The purpose is to win customers from a competitor on a large scale and the effect—assuming there is one—is the same. As in Gordon & Breach, the mere fact that the promotional campaign took the form of individual conversations does not mean that it is not advertising when taken as a whole. Taken together, McGraw-Hill’s statements are advertising within the meaning of the Lan-ham Act.
B. Falsity
As previously mentioned, a statement can be “false” for Lanham Act purposes in two ways: it can be “literally false, i.e., false on its face,” or it can be implicitly false because it is “misleading].” DIRECTV,
This is a fíne distinction. A statement is, of course, literally false if it is (strictly speaking) literally false, but if it is not (strictly speaking) literally false, it can either be “literally false” for Lanham Act purposes if it unambiguously conveys a message and that message conflicts with reality, or it can be implicitly false if it conveys an “impression”—to a substantial portion of listeners—that conflicts with reality. Id. at 153.
1. Literal Falsity
Whether a statement is literally false is, generally speaking, a matter of fact. See Clorox Co. P.R. v. Proctor & Gamble Commercial Co.,
i. Roper’s Involvement
The Roper Reports represented that Roper, an “independent” firm, “oversaw the entire comparison process [and] ensured that comparable categories were used” to evaluate the competing services. (Plaintiffs Exhibits 329-334.) McGraw-Hill similarly represented that the reports were “independent,” “objective,” “audited,” and “unbiased.” (Plaintiffs Memorandum, at 18 & n. 101.) Roper’s “project director” for five of the six Roper Reports testified at his deposition that he made sure that the searches conducted were “worded similarly.” (Id. at 20-21 & 106-13.) But the same project director told a colleague that McGraw-Hill paid Roper “just to say we oversaw the whole process.” (Id. at 19, 21, & nn. 103, 115.) He similarly testified that he “did not know if he ever even knew the names of Connect or Network” and “did not know if [the searches were conducted] using Network or Dataline, another McGraw-Hill service.” (Id. at 19.) Reed argues that a reasonable jury could conclude, from the evidence presented, that “Roper’s involvement was a sham.” (Plaintiffs Memorandum, at 47.) If the jury reached that conclusion, Reed argues, it could also conclude that the statements listed above conveyed the message that Roper’s involvement was not a sham. This, Reed contends, is literally false.
McGraw-Hill responds by pointing out that the McGraw-Hill employee who conducted the comparisons testified that Roper “verified the numbers,” “made sure that they were not being misrecorded,” and “ensured that the comparisons were run in similar ways and that one search mirrored another search.” (Defendant’s Reply, at 5.) Similarly, McGraw-Hill notes that “Roper looked at the categories being searched to ensure that if ‘we had education, they had education,’ and ‘if we had medical, they had medical.’ ” (Id. at 6 (citing Major Trans. 250:23-251:19).) McGraw-Hill represents that this evidence is uncontroverted and that it establishes the literal truth of the statements.
But Reed does controvert this testimony. Reed offers testimony from the Roper employee who supposedly “oversaw” the comparisons that he only made sure the comparisons were “worded similarly,” and that McGraw-Hill paid Roper “just to say we oversaw the whole process.” (Plaintiffs Memorandum, at 19, 21, & nn. 103,
ii. Roper Report and Ad Hoc Comparisons
Next, Reed alleges that many of the statements in the Roper Reports and ad hoc comparisons were literally false. Specifically, Reed identifies three problems with the Roper Reports (which were replicated in the ad hoc comparisons) that lead to literally false statements. First, at least one Roper Report compared Reed Connect to a different database, Dataline, instead of McGraw-Hill’s Dodge Network database; second, McGraw-Hill double-counted some of its own projects; and, finally, McGraw-Hill included its own ASAP projects while excluding Reed’s ASAP projects from the comparisons. (Plaintiffs Memorandum, at 49-50.)
McGraw-Hill responds to the first allegation of falsity (that it used Dataline instead of Dodge Network) by noting that the report in question stated that the comparisons were based on “F.W. Dodge electronic listings,” which would include Data-line listings. (Defendant’s Reply, at 11.) Reed counters by offering evidence that McGraw-Hill employees used Dataline because they knew that, at the time, it was superior to Dodge Network. But McGraw-Hill’s knowledge of differences between the two products is not the question. Instead, the question is whether the statement that the comparisons were made using “F.W. Dodge electronic listings” was literally false—that is, were the comparisons actually conducted using F.W. Dodge electronic listings? In other words, did the “F.W. Dodge electronic listings” include Dataline? Neither party has offered evidence—beyond the statement itself—to evaluate whether Dataline is an “F.W. Dodge electronic listing.” Because, at trial, the burden of proving falsity would be on Reed, and there is no evidence regarding whether “F.W. Dodge electronic listings” properly included Dataline, no reasonable juror could conclude, that the statement was literally false.
McGraw-Hill responds to Reed’s second allegation of falsity (double-counting) by noting that the Dodge Network would list some projects that proceeded along dual tracks as multiple projects rather than one project and that this is a perfectly sensible way to count. (Defendant’s Reply, at 9.) McGraw-Hill offers the hypothetical example of a school district seeking asbestos removal at a school while simultaneously seeking plans to build a new wing to the school. (Id. at 10.) This would be listed as two projects in the Dodge Network but as only one in Reed Connect. Reed argues that this is false because the Roper Reports purported to list the total number of projects, rather than the total number of reports, in each database service. (Plaintiffs Memorandum of Law, at 49.) But Reed has not put forward any evidence that the word “projects” in this context would be false when compared to a database that lists each “report” for the same institution as a different “project.” Consequently, a reasonable juror could not conclude that Reed has met its burden of proving falsity.
McGraw-Hill responds to Reed’s final allegation of falsity (omitting ASAP projects) by noting that the searches underlying the Roper Reports did include projects whose “bid dates” were “ASAP.” (Defendant’s Reply, at 9.) Reed responds that its
iii. Stale Executive Briefs
Reed next alleges that McGraw-Hill released an “Executive Brief’ between 2008 and 2012 in which it claimed to cite data from a “recent” comparison of Reed Connect and Dodge Network. The “recent” comparison was from 2007. But the executive briefs did not claim to use the most recent comparison available; they only claimed to use a “recent” one. Thus, the statement that the briefs cited a “recent” comparison is not false unless five year-old data is not “recent.” But words like “recent” are subject to a range of reasonable interpretations. And the Lanham Act does not require that comparisons listed as recent be based on the most current available data. Federal Express Corp. v. United Parcel Serv., Inc.,
iv. Claims of Exclusivity
Reed also claims that McGraw-Hill falsely told some customers on a few occasions that particular projects were available only on the Dodge Network when, in fact, they were also available on Reed Connect. (Plaintiffs Memorandum, at 50.) Reed also contends that McGraw-Hill falsely told customers that it learned of the exclusives from customer tips when it really learned of them from its illicit access to Reed Connect. McGraw-Hill responds to this allegation by contending that Reed’s only evidence that these projects were available in Reed Connect came from searches performed after the customer conversations took place. (Defendant’s Reply, at 12.) This, McGraw-Hill argues, means that Reed has offered no evidence that these claims of exclusivity were false when made. While Reed’s evidence is weak and circumstantial, it is still evidence. Neither party has briefed the issue of how much time elapsed between the time that McGraw-Hill claimed exclusivity and the time that Reed’s analyst searched for the purportedly exclusive projects. But, on at least one occasion, the evidence suggests that Reed searched its database the day after McGraw-Hill told a customer
v. Claimed Project Ratios
Finally, Reed claims that McGraw-Hill often reported that it had a 5:1 ratio over Reed in exclusive projects and a 3:1 ratio over all competitors in all projects. (Plaintiffs Memorandum, at 51.) Reed contends that this was literally false because the testimony of its expert, Sonya Kwon, as well as McGraw-Hill’s own internal data, indicate that its advantage in projects was substantially less than 5:1 and 3:1 in these categories. McGraw-Hill counters that these ratios simply are not false. It claims that Reed’s estimate of the true ratio was created using comparisons other than the ones to which McGraw-Hill was referring when it touted these ratios. McGraw-Hill contends that Reed has offered “no evidence regarding how these ratios were calculated or why they are false.” (Defendant’s Reply, at 12.) Indeed, Reed has not presented any evidence of how these ratios were arrived at. Instead, Reed has presented plenty of evidence that McGraw-Hill’s employees did not know how the ratios were calculated when they distributed them. (E.g., Plaintiffs Exhibits 535-37.) The state of the evidence, then, is as follows: we know that other calculations, of contested accuracy, show significantly lower advantages for McGraw-Hill than the ratios it touted, but we do not know how it calculated those ratios. Construing that evidence in Reed’s favor, a reasonable juror could conclude that the 5:1/3:1 ratios were false because other studies suggested significantly lower numbers.
vi. Summary of Literal Falsity
The following statements survive McGraw-Hill’s motion for summary judgment as potentially literally false: (1) the statements about Roper’s involvement, (2) the statements touting exclusives to certain individual customers, and (3) the statements about the 5:1 and 3:1 project ratios. As to each of these sets of statements, a reasonable juror could conclude that they are literally false. Therefore, consumer deception is presumed. See Time Warner Cable, Inc. v. DIRECTV, Inc.,
2. Implicit Falsity
To sustain a Lanham Act claim on a theory of implicit falsity, a plaintiff must put forth evidence that consumers were, in fact, confused by the allegedly misleading statement. This burden does not apply to statements for which Reed has met its burden of proving literal falsity or where Reed proves intentional deception. Id. All that remains, apart from materiality, is whether Reed has put forward sufficient evidence of consumer confusion or intentional deception for the remaining statements. For the reasons that follow, it has not.
i. Intentional Deception
Reed points to three pieces of evidence to support its argument that McGraw-Hill engaged in deliberate deception.
ii. Consumer Confusion
In its papers, Reed points to the declaration of Pat McCoy to support its argument that consumers were confused by McGraw-Hill’s allegedly misleading statements.
Ordinarily, consumer confusion is demonstrated through customer surveys, but this is not a hard-and-fast requirement. To sustain a claim under the misleadingly-false theory of the Lanham Act, a plaintiff need only show—using whatever evidence—that a substantial number of consumers were, in fact, confused by the allegedly misleading statement. E.g., McNeilab, Inc. v, American Home Products Corp.,
Here, Reed points to one customer out of a national market that both parties con
A declaration from one customer in a market of this size is insufficient, particularly when compared to McGraw-Hill’s evidence that consumers were not confused, and considering the fact that the declaration was from a non-decisionmaker at his company. (Defendant’s Reply, at 15 (citing, inter alia, Defendant’s Rule 56.1 Statement, at ¶¶ 269-77; Defendant’s Exhibits 90 (Thomas Tr. 63:12-19), 4 (Welch Tr. 36:9-37:23), 5 (Chester Tr. 71:20-72:12), 11 (Franklin Tr. 22: 14-18), 12 (Roach Tr. 23:24-24:4), 92 (Dodge Tr. 25:20-25), 91 (Bowman Tr. 42: 1 0-43: 17), 124 (Borglum Tr. 30:3-15), 132 (Martin Tr. 32:6-25), and 125 (Sloan Tr. 38:4-39:7)).) No reasonable juror faced with this evidence could conclude that a substantial number of consumers were misled by McGraw-Hill’s statements.
C. “Materiality”
Reed’s claims under the misleadingly-false theory of the Lanham Act have failed for lack of consumer confusion. Thus, the only statements whose materiality must be considered are those that are potentially literally false (that is, those statements as to which there is a genuine dispute as to literal falsity). They are (1) the statements about Roper’s involvement, (2) the statements touting exclusives to certain individual customers, and (3) the statements about the 5:1 and 3:1 project ratios. For the reasons that follow, no reasonable juror could conclude that any of these statements is material.
The parties disagree on the appropriate legal standard to apply to questions of materiality. Reed argues that materiality is satisfied if a statement “misrepresents an inherent quality or characteristic of a product.” (Plaintiffs Memorandum, at 54.) McGraw Hill counters that this is necessary but not sufficient because “plaintiff must also prove that the ... statement is likely to influence purchasing decisions.” (Defendant’s Memorandum, at 13 (emphasis in original).)
In 1974, the Second Circuit held that statements must relate to an “inherent quality or characteristic of defendant’s product” to be actionable under the Lanham Act. Fur Info. & Fashion Council, Inc. v. E.F. Timme & Son, Inc.,
In Vidal Sassoon, Inc. v. Bristol-Myers Co., the defendant was sued over an advertisement for “its shampoo product, ‘Body on Tap,’ so named because of its high beer content.”
This shift continued in National Basketball Association v. Motorola, Inc., a case referenced by both Reed and McGraw Hill as the leading ease on materiality.
Reed has not presented sufficient evidence of materiality to survive summary judgment for the same reason it has not presented sufficient evidence to sustain its claim of consumer confusion. At worst, one customer relied on McGraw-Hill’s misrepresentations when making purchasing decisions. Every other customer testified that the Roper Reports and ad hoc comparisons were immaterial. Thus, even if a presumption of materiality applied under Resource Developers,
D. Conclusion
For the foregoing reasons, McGraw-Hill’s motion for summary judgment on Reed’s claims under Section 43(a) of the Lanham Act is granted.
V. Antitrust
McGraw Hill seeks summary judgment oh Reed’s claims that McGraw Hill’s disparaging advertisement constituted monopolization and attempted monopolization in violation of Section 2 of the Sherman Act. The parties do not contest most of the elements of a Sherman Act claim. (See Plaintiffs Memorandum, at 61.) Instead, McGraw-Hill argues that its conduct could not have had more than a de minimis effect on competition. In the Second Circuit, “a plaintiff asserting a monopolization claim based on misleading advertising must overcome a presumption that the effect on competition of such a practice was de minimis” and therefore insufficient to sustain an antitrust action. National Association of Pharm. Mfrs., Inc. v. Ayerst Labs.,
A. Legal Standard for Antitrust Claims: The De Minimis Presumption
Under Ayerst, courts must presume that false or misleading statements in the marketplace had a de minim-is effect on competition unless the plaintiff can show that the challenged statements were
“[1] clearly false, [2] clearly material, [3] clearly likely to induce reasonable reliance, [4] made to buyers without knowledge of the subject matter, [5] continued for prolonged periods, and [6] not readily susceptible of neutralization or other offset by rivals.”
Ayerst,
Reed cites two district court cases in the Ninth Circuit that suggest that the de minimis presumption does not apply where third-party advertisers are involved. See Prime Healthcare Servs. v. SEIU, No. 11-CV-02652,
In any event, in this Circuit, the de minimis presumption applies to third-party disparagement claims. The plaintiff in Ayerst raised a third-party disparagement claim that the Circuit subjected to the de minimis presumption.
Reed next argues that the de minimis presumption does not apply to markets in which there are only two competitors. It cites a case from the District of Minnesota in support. See Insignia Sys. v. News Am. Mktg. In-Store, Inc.,
In the Second Circuit, the de minimis presumption applies where there are only two firms in the relevant market and one of them is dominant. Ayerst presented a scenario where a dominant monopolist published allegedly disparaging statements against a new market entrant. There is no basis under the law of this Circuit to exempt Reed’s claims from the de minimis presumption. Accordingly, the Court applies the presumption in this case.
Before applying the factors, this Court must first consider the strength of the presumption. The Ninth Circuit has held that Plaintiffs “must satisfy all six elements to overcome the de minimis presumption,” Am. Prof'l Testing Serv.,
Ultimately, the de minimis presumption and the Ayerst test simply guide an inquiry that was in place before Ayerst: whether a disparaging advertisement is so deceptive as to constitute anticompetitive
B. The Ayerst Factors
With the de minimis presumption in place, the Court now evaluates whether Reed succeeds in rebutting the presumption that no cognizable antitrust injury occurred.
1.Clear Falsity
To overcome the Ayerst presumption, a plaintiff must prove that the challenged statements were “clearly false____” Ayerst,
Literal falsity and “clear” falsity cannot be read to mean the same thing. To survive the Ayerst presumption, a plaintiff must do more than prove that the challenged statement is literally false; otherwise the word “clear[ ]” in Ayerst would be meaningless. This leaves the question: what does “clear” mean here? Epistemo-logically speaking, falsity is an absolute: a statement is either false or it is not. But the level of justification of one’s belief in a statement’s falsity can vary by degree. Thus, while a statement is either false or it is not, it can be more or less “clearly” false, as measured by how much thought or effort one has to put into determining its veracity or how confident one is in its falsity—or, put another way, how obvious or apparent its falsity is in light of the statement itself and its relationship to the state of the world.
On this understanding, each of the challenged statements is a close call. With regard to Roper’s involvement, a reasonable person could believe that it was not a sham, given that a Roper employee was present during the challenged comparisons and made sure that the individual search terms used were comparable. To believe otherwise takes, at the very least, a substantial number of inferential steps and yields a low level of confidence. With regard to the ad hoc comparisons, a reasonable person could conclude from the evidence that, upon learning that McGraw-Hill was touting exclusive projects that Reed did not have in its database, Reed scurried to add them, and, therefore, the claim of exclusivity was true when made. Finally, with regard to the claims about the 5:1 and 3:1 ratios, there is no evidence in the record regarding how those ratios were constructed. It is reasonable to believe that McGraw-Hill’s as-yet-unknown methodology produced accurate results. Therefore, the evidence is insufficient to show that the challenged statements were clearly false.
2.Clear Materiality
Reed has not shown that any of the false statements was material. It follows that Reed cannot show that any of them was clearly material.
3.Clear Likelihood to Induce Reasonable Reliance
Reed has not pointed to any admissible evidence, other than the McCoy declara
4.Buyers without Knowledge
Reed and McGraw-Hill argue over how to evaluate the relevant buyers’ knowledge. Specifically, knowledge of what? Reed argues that because its customers lacked knowledge of complex data and statistical analysis they were unable to discern the accuracy of McGraw-Hill’s claims and, therefore, lacked “knowledge” for Ayerst purposes.
5.Prolonged Exposure
The parties agree that the exposure in this case was prolonged.
6.Neutralization
Reed argues that McGraw-Hill’s statements were not susceptible to neutralization because they “were not empirical facts about [Reed Connect] that could easily be disproven____” (Plaintiffs Memorandum, at 75.) Further, Reed argues that McGraw-Hill endeavored to keep some of the comparisons from Reed, making it difficult, if not impossible, to counter the statements. (Id. (citing Plaintiffs Exhibits 319-320, 70).)
Neither of these arguments is persuasive. First, the challenged statements here were simple sums of how many projects were in each database. They were eminently “empirical facts.” Second, there is ample uncontested evidence in the record that Reed knew about—and, therefore, could have countered—McGraw-Hill’s comparisons. (E.g., Defendant’s Reply, at 38.)
C. Conclusion
Reed has successfully shown only one of the six Ayerst factors. Accordingly, the presumption that McGraw-Hill’s conduct had a de minimis effect on competition holds, and McGraw-Hill is entitled to summary judgment on its antitrust claims.
VI. State Law Claims
Reed alleges six common-law claims against McGraw-Hill: (1) fraud, (2) misappropriation of trade secrets, (3) misappropriation of confidential information, (4) unfair competition, (5) tortious interference with contractual relations, and (6) unjust enrichment. The parties dispute which law applies—Georgia or New York—and the merits of each of the alleged torts. For the reasons that follow, Reed’s unfair competition claim survives but the rest do not.
As a preliminary matter, the Court must determine which law governs each claim at issue in this case. A federal court sitting in diversity applies the choice of law rules of the state in which it sits. Klaxon Co. v. Stentor Elec. Mfg. Co.,
1. Waiver
Reed argues that McGraw-Hill waived its argument that Georgia law applies because it did not raise it until its third amended answer, which was filed more than four years after the start of the litigation, after resolution of a motion to dismiss and after the close of fact discovery. McGraw-Hill responds by arguing that because Reed cannot show prejudice from the delay, Reed’s waiver argument must fail. (Defendant’s Reply, at 27 (citing S & L Vitamins, Inc. v. Australian Gold, Inc.,
A party can waive a choice-of-law argument. E.g., Lott v. Levitt,
Reed argues that McGraw-Hill missed the late-stage cutoff because it waited until after the close of fact discovery to raise its choice-of-law defense. McGraw-Hill, citing two cases about the waiver of affirmative defenses generally, counters that prejudice should be the core of the inquiry. See S & L Vitamins, Inc.,
2. New York Choice-of-Law Rules
In tort actions, New York courts apply the substantive law of the jurisdiction that has the most significant interest in “the specific issue raised in the litigation.” Schultz v. Boy Scouts of Am., Inc.,
If the laws at issue are primarily conduct-regulating, “the law of the jurisdiction where the tort occurred will generally apply because that jurisdiction has the greatest interest in regulating behaw ior within its borders.” Cooney v. Osgood Mach.,
Crucially, New York courts do not necessarily apply the law of just one state to a tort case. Rather, they asses the governing law issue-by-issue. Babcock v. Jackson,
B. Fraud
Reed alleges that McGraw-Hill defrauded it by falsely representing that Lewin and Lorenz—the “consultants” McGraw-Hill hired to access Reed Connect—were not McGraw-Hill employees. ■ Reed alleges that it relied on this material falsehood to its detriment: specifically, that it lost customers because of McGraw-Hill’s illicit access to Reed Connect. The mechanism by which Reed claims to have lost these customers is a bit murky, but it seems to be, in essence, the allegedly misleading advertising McGraw-Hill produced using its illicit access to Reed Connect. (Plaintiffs Memorandum, at 89.)
To determine whether the competing rules at issue here are conduct-regulating or loss-allocating, the Court must first look to what the competing rules actually are. The only relevant difference between Georgia and New York fraud claims involves the Georgia Trade Secrets Act (“GTSA”), which will be discussed in greater detail below. Among other things, this act channels common-law claims that rest on a theory of misappropriation of trade secrets, however pleaded, into a single statutory tort claim. See Ga.Code ÁNN. § 10-l-767(a). The Act, thus, preempts fraud claims that are based on a trade secrets theory. See Robbins v. Supermarket Equip. Sales, LLC,
The parties, it seems, dispute' the level of generality at which the Court is to assess whether a rule is conduct-regulating or loss-allocating. In keeping with their atomistic approach to choice-of-law issues, New York courts look to “the law of the jurisdiction which has the strongest interest in the resolution of the particular issue presented.” Babcock,
The question, then, is where the fraud occurred. McGraw-Hill’s consultants purchased subscriptions over the phone. They were in New York; Reed’s representatives were in Georgia. Generally, New York courts find the “locus” of a tort to be
Under New York law, a fraud plaintiff “must prove a misrepresentation or a material omission of fact which was false and known to be false by defendant, made for the purpose of inducing the other party to rely upon it, justifiable reliance of the other party on the misrepresentation or material omission, and injury.” Lama Holding Co. v. Smith Barney Inc.,
C. Trade Secrets and Misappropriation of Confidential Information
Reed alleges that McGraw-Hill misappropriated its trade secrets in violation of the GTSA and New York trade secrets law, whichever applies.
Though the laws of New York and Georgia differ with respect to trade secrets— Georgia has enacted a version of the Uni
It is clear that under New York law, which is more permissive than Georgia law, Reed’s CPI lost its trade-secrets status—if it ever had any—when Reed gave out free trial subscriptions unaccompanied by any contractual restrictions on their use. See LinkCo.,
D. Tortious Interference
Reed claims that McGraw-Hill tortiously interfered with its prospective economic advantage by luring customers to Dodge Network with misleading advertisements. Reed concedes that its claim is preempted under the GTSA if Georgia law applies, but argues that New York law properly applies because the conflicting rules are conduct regulating and the place of the misconduct was New York. The Court need not decide whose law applies to this claim because even under the law of New York the claims clearly cannot succeed. Under New York law, to sustain a claim of tortious interference with prospective economic advantage, a plaintiff must prove that “(1) the plaintiff had business relations with a third party; (2) the defendant interfered with those business relations; (3) the defendant acted for a wrongful purpose or used dishonest, unfair, or improper means; and (4) the defendant’s acts injured the relationship.” Catskill Development, LLC v. Park Place Entertainment Corp.,
E. Unjust Enrichment
Reed alleges that McGraw-Hill was unjustly enriched by “[McGraw-Hill’s] use of false comparisons.” (Plaintiffs Memorandum, at 88 (citing Sandrino v. Michaelson Assocs., LLC, 10-CV-7897,
F. Unfair Competition
McGraw-Hill concedes that on “two or three isolated” occasions, McGraw-Hill employees used project leads that they acquired through their illicit access to Reed Connect in their own database. (Defendant’s Memorandum, at 15 n. 6.) Reed argues that McGraw-Hill committed the tort of unfair competition by misappropriating its “labors and expenditures ... with some element of bad faith.” (Plaintiffs Memorandum, at 86 (quoting Saratoga Vichy Spring Co. v. Lehman,
The first question is which law governs. The Georgia Supreme Court has never explicitly recognized a tort of unfair competition. The New York Court of Appeals, on the other hand, has developed a rich and flexible doctrine of unfair competition. The conflict between these two laws, then, is conduct regulating: in Georgia certain behavior does not subject an actor to tort liability while in New York the same behavior would. So the question becomes where the tort was committed. Here, McGraw-Hill accessed Reed’s database in Georgia from New York and incorporated the spoils into the Dodge Network in New York. As with the tort of fraud, with respect to unfair competition, the principal locus of the defendant’s conduct is ordinarily the controlling contact. See
The tort of unfair competition has its principal genesis in a 1918 Supreme Court case decided under federal common law. See International News Service v. Associated Press,
INS has come under criticism in the 96 years since it was decided, chiefly on the ground that it is duplicative of copyright law. See Richaed Epstein, ToRts (9th ed.2008) (citing Cheney Bros. v. Doris Silk Corp.,
The tort of unfair competition (via misappropriation) under New York law specifically requires proof that the defendant took something in which the plaintiff enjoyed a property • right. See Roy Export,
Wherever the confines of the capacious tort of unfair competition may lie, McGraw-Hill’s conduct here falls within them. Here, McGraw-Hill used phony entities to surreptitiously subscribe to Reed’s database service, then took the projects it found there and added them to its own database. The project listings are the parties’ stock in trade. Compare INS,
VII. Statutes of Limitations
McGraw-Hill argues that a one-year statute of limitations applies to Reed’s unfair competition claim because “[t]he crux of Reed’s unfair competition claim is that [McGraw-Hill] used the Roper Report and other allegedly misleading marketing pieces to influence customers’ purchasing decisions.” (Defendant’s Memorandum, at 89.) That is not the crux of the surviving unfair competition claim. Rather, McGraw-Hill’s misappropriation of project leads is the crux of the misappropriation claim. A claim on that theory, in New York, is governed by a three-year statute of limitations. See Norbrook Labs. Ltd. v. G.C. Hanford Mfg. Co.,
VIII. Conclusion
For the foregoing reasons, McGraw-Hill’s motion to exclude the testimony of Dr. Frederick Warren-Boulton is GRANTED, and McGraw-Hill’s motion for summary judgment is GRANTED in part and DENIED in part. Summary judgment is granted in favor of McGraw-Hill on all of Reed’s remaining claims with the exception of Reed’s unfair competition claim.
The Clerk of the Court is directed to close the motions at docket numbers 149 and 168.
SO ORDERED.
. On September 30, 2011, this case was transferred to the undersigned. (Dkt. No. 79.)
. Reed also offers two more declarations (by Alyssianne Curry Brennan and Jeremy Ross) to support its case, but the Court has previously precluded those declarations. (Dkt. No. 200.) They will not be considered.
. Because the Court ultimately concludes that Reed’s antitrust claims cannot succeed for other reasons, the Court assumes without deciding that Dr. Warren-Boulton's liability opinion is admissible under Rule 702.
.Specifically, the ordinary least-squares (OLS) method of linear regression solves for a linear equation that minimizes the sum of the squared residuals. Regression analysis is not restricted to linear models and many other methods of calculating the optimal coefficients exist. Because Dr. Warren-Boulton used only OLS linear methods, the Court will
. One can visualize a line only in three-dimensional space. (Maybe four—if time is considered a dimension. E.g. Mark Heller, Temporal Parts of Four-Dimensional Objects, 46 Phil. Studs. 323 (1993).) More precisely, then, a regression analysis plots the hyperplane that best fits the data points in «-dimensional space, where n is the sum of the independent, dependent, and control variables. The Court will spare the reader this distinction and refer to the hyperplane as a "line.”
. In his first model, Dr. Warren-Boulton did not include the overall volume of construction activity in the economy. In response to criticism from McGraw-Hill, Dr. Warren-Boulton added this variable to his second model, which is otherwise identical to the first.
. Bazemore was decided before Daubert. Nonetheless, the Second Circuit has relied on it since. E.g., Bickerstaff,
. While scholars have been unable to pinpoint a passage in Robert Giffen’s writing in which he explains the concept of what is now known as a "Giffen” good, Alfred Marshall attributes the concept to him. Alfred Marshall, Principles of Economics 208 (1895) ("As Mr. Giffen has pointed out, a rise in the price of bread makes so large a drain on the resources of the poorer labouring families and raises so much the marginal utility of money to them, that they are forced to curtail their consumption of meat and the more expensive farinaceous foods: and, bread being still the cheapest food which they can get and will take, they consume more, and not less of it.”)
. Formally, PMcGraw-HM = PReed + (vMcGraw-Hffl—vReed). where P and V are the price and value of each good, respectively. (Plaintiff’s Exhibit 16.)
. Dr. Warren-Boulton does not argue that his model passes any competing test, so the Court will discuss only the Chow test.
.
(S,-(S! +Si>))//c
Specifically, the Chow statistic takes the form of (Sj + S2)/(Ni+H%-2k) where Sc, Si, and
S2 are the sum of squared residuals from the combined data, the first group, and the second group, respectively; N is the number of observations in each group; and k is the number of variables in the regression.
. Plaintiffs need only prove "a likelihood of confusion among customers” to enjoin an allegedly deceptive ad campaign, but they “must introduce evidence of actual consumer confusion” to recover damages from the same under the Lanham Act. Res. Developers, Inc. v. Statue of Liberty-Ellis Island Found., Inc.,
. The independent bottlers are the relevant consumers in this industry. The two companies in Seven-Up each sold syrup to independent bottlers who combined it with carbonated water and sweetener to produce the canned sodas. Seven-Up,
. E.g., Black's Law Dictionary 1017 (9th ed. 2009) ("According to expressed language.”).
. Reed, in fact, leaves out the requirement that the deception be "egregious” as well.
. They also argue that Dr. Warren-Boulton's price-effect theory supports this claim but, because Dr. Warren-Boulton's testimony has been excluded under Rule 702, it will not be considered here.
. McGraw-Hill also argues that the Court has already rejected Reed’s argument. It contends that by granting leave to file a third amended answer containing the choice-of-law allegation, the Court implicitly held that McGraw-Hill had not waived the argument. This argument is without merit. The Court, in granting leave to amend, did not rule on the law that governs Reed's tort claims and did not-implicitly or otherwise—rule that McGraw-Hill had preserved its choice-of-law argument.
. A long-simmering academic dispute bubbles just under the surface of this question— that is, what is the purpose of tort law after all? Compare, e.g., Ronald Coase, The Problem of Social Cost, 3 J.L. & Econ. 1 (1960), and Richard Posner, A Theory of Negligence, 1 J. Legal Studs. 29 (1972), with Ernest Weinrib, The Gains and Losses of Corrective Justice, 44 Duke L.J. 277, 290 (1994) ("[O]ne cannot justify tort liability by reference to the need both to deter actors and to compensate sufferers.”), and Jules Coleman, The Economic Structure of Tort Law, 97 Yale L.J. 1233 (1988), and Scott Hershovitz, Two Models of Tort (and Takings), 92 Virginia L.Rev. 1147 (2006). See generally Glanville Williams, The Aims of the Law of Tort, 4 J. Current. L. Probs 137 (1951); John Gardner, What is Tort Law For? Part One: The Place of Corrective Justice, Oxford Legal Studs. Research Paper No. 1/2010, available at http://ssrn.com/abstract=1538342. Thankfully, the New York Court of Appeals has adopted a methodology that obviates the need for this Court to delve too deeply into the cauldron.
. The parties do not dispute their respective domiciles. Reed is a Georgia domiciliary. McGraw-Hill is a New York domiciliary.
. Reed also argues that McGraw-Hill is judicially estopped from arguing that Reed’s project leads are not trade secrets because McGraw-Hill’s predecessor in this business, the F.W. Dodge Company, argued that its services were trade secrets in a pair of cases decided in the early twentieth century. See F.W. Dodge Co. v. Construction Information Co.,
. Reed also contends that McGraw-Hill misappropriated its "methodologies and business practices associated with acquiring, entering, analyzing, categorizing, tracking, presenting, searching, and managing construction project data." (Plaintiffs Memorandum, at 83.) Because McGraw-Hill had access only to information that a consumer with a free trial had, this contention does not save its trade secrets claim. Even if its "methodologies” are trade secrets, Reed has put forward no evidence that McGraw-Hill misappropriated them. Reed's contention here, however, is helpful to its unfair competition claim, which is discussed below.
. (See Defendant’s Exhibits 79-82.) McGraw-Hill’s counterclaims are not at issue on this motion and it has not raised the defense of unclean hands (which would not apply here anyway) so this contention is irrelevant.
