[Gnso-rpm-trademark] REMINDER - Proposed Agenda - RPM PDP WG TM Claims Sub Team - 27 March 2019
Kathy Kleiman
kathy at kathykleiman.com
Wed Mar 27 15:53:50 UTC 2019
Hi All, Quick note that we did invite people to continue the discussion
of the last subteam meeting -- especially those who were unable to join
us in Kobe -- so thanks for the discussion!
Kathy
On 3/27/2019 11:46 AM, Tushnet, Rebecca wrote:
> I’m not asking for answers. I’m pointing out that without those
> answers (which would indeed be quite difficult to get) we can’t
> honestly answer the basic question of efficacy one way or another.
>
> Rebecca Tushnet
> Frank Stanton Professor of First Amendment Law, Harvard Law School
>
> Sent from my phone. Apologies for terseness/typos.
>
> On Mar 27, 2019, at 11:35 AM, BECKHAM, Brian <brian.beckham at wipo.int
> <mailto:brian.beckham at wipo.int>> wrote:
>
>> Just by way of reminder, I put an email on this list probably 2 years
>> ago on abandonment rates. From a godaddy blog it was something like
>> 70% on average. Speaking personally, I also feel it is not necessary
>> or a good use of this group’s time to seek to answer 1-4 from Rebecca.
>>
>> Brian
>>
>>
>> Sent from my WIPO mobile
>>
>> On 27 March 2019 at 11:18:11 GMT-4, Corwin, Philip via
>> Gnso-rpm-trademark <gnso-rpm-trademark at icann.org
>> <mailto:gnso-rpm-trademark at icann.org>> wrote:
>>> Responding in a purely personal capacity, I find this mathematical
>>> analysis problematic for two reasons.
>>>
>>> First, it posits that there are "2 separate rates, namely the
>>> abandonment rate for cybersquatters, and the abandonment rate for
>>> good faith registrants". But there was likely a third group that
>>> might well have constituted a majority of non-completed
>>> registrations -- parties who had no intention of ever registering a
>>> domain but simply wished to test whether a particular mark had been
>>> recorded in the TMCH.
>>>
>>> Second, we have no baseline abandonment rate for domain
>>> registrations that do not generate a Claims Notice.
>>>
>>> Philip S. Corwin
>>> Policy Counsel
>>> VeriSign, Inc.
>>> 12061 Bluemont Way
>>> Reston, VA 20190
>>> 703-948-4648/Direct
>>> 571-342-7489/Cell
>>>
>>> "Luck is the residue of design" -- Branch Rickey
>>>
>>> -----Original Message-----
>>> From: Gnso-rpm-trademark <gnso-rpm-trademark-bounces at icann.org
>>> <mailto:gnso-rpm-trademark-bounces at icann.org>> On Behalf Of George
>>> Kirikos
>>> Sent: Wednesday, March 27, 2019 8:25 AM
>>> To: gnso-rpm-trademark at icann.org <mailto:gnso-rpm-trademark at icann.org>
>>> Subject: [EXTERNAL] Re: [Gnso-rpm-trademark] REMINDER - Proposed
>>> Agenda - RPM PDP WG TM Claims Sub Team - 27 March 2019
>>>
>>> Just to build on Rebecca's comment, we can create a mathematical
>>> model to understand things more easily, and try to transform the
>>> "descriptive" analysis into a more quantitative analysis.
>>>
>>> The overall abandonment rate (93.7% actual data from the Analysis
>>> Group report) really represents a blended rate consisting of 2
>>> separate rates, namely the abandonment rate for cybersquatters, and
>>> the abandonment rate for good faith registrants (unproblematic
>>> domains like "cloud" or "hotel" or "one"). It's a weighted average
>>> of those 2 different abandonment rates, and we're not sure what the
>>> true "weights" should be.
>>>
>>> So, let's define some variables. Let:
>>>
>>> C = percentage of cybersquatting registration attempts G = good
>>> faith / unproblematic registration attempts P = abandonment rate for
>>> cybersquatting registration attempts presented with the TM Claims
>>> notices Q = abandonment rate for good faith registration attempts
>>> presented with the TM Claims notices R = overall abandonment rate
>>> (blended rate, a weighted average)
>>>
>>> It should be clear that:
>>>
>>> CP + GQ = R
>>>
>>> It's also true that C + G = 100% = 1.000 = 1, so let's simplify the
>>> above even further
>>>
>>> C + G = 1 ----> G = 1 - C
>>>
>>> CP + (1-C)Q = R
>>>
>>> Let's go even further, and isolate our attention on "Q", which is
>>> essentially collateral damage of the TM Claims system. A high value
>>> of Q means a high abandonment rate for good faith registration attempts.
>>> Rearranging the above equation:
>>>
>>> Q = (R - CP) / (1-C)
>>>
>>> So, as "P" increases, then Q decreases, which should be obvious,
>>> since we're doing a weighted average of 2 different rates. Let's
>>> imagine a "best case" scenario, where P is the highest possible
>>> value, namely 100% ( = 1.0000), which would minimize the value of Q.
>>> That means 100% of cybersquatting attempts are thwarted by the TM
>>> Claims notices! The above equation becomes:
>>>
>>> Q = (R - C) / (1-C)
>>>
>>> Of course we know what R is empirically, the 93.7% figure from the
>>> Analysis Group report (0.937). Thus, we can simplify even futher:
>>>
>>> Q = (0.937 - C) / (1 - C)
>>>
>>> Let's try different values of "C" (percentage of cybersquatting
>>> attempts) to see what that implies about the value of Q in this best
>>> case scenario:
>>>
>>> C = 10% = 0.10 -----> Q = 0.93 = 93%
>>> C = 20% = 0.20 -----> Q = 0.92125 = 92.125%
>>> C = 30% = 0.30 -----> Q = 0.91 = 91%
>>> C = 40% = 0.40 -----> Q = 0.895 = 89.5%
>>> C = 50% = 0.50 -----> Q = 0.874 = 87.4%
>>> C = 60% = 0.60 -----> Q = 0.8425 = 84.25%
>>> C = 70% = 0.70 -----> Q = 0.79 = 79%
>>> C = 80% = 0.80 -----> Q = 0.685 = 68.5%
>>> C = 90% = 0.90 -----> Q = 0.37 = 37%
>>>
>>> The above figures should be startling. And remember, these are the
>>> *best case* scenarios. If it turns out that P, the abandonment rate
>>> for cyberquatters, is less than 100%, then the values calculated for
>>> Q (abandonment rate for good faith registration attempts) would
>>> become even higher. Indeed, because it's a weighted average, if P
>>> turns out to actually be lower than 93.7% (i.e. hardcore
>>> cybersquatters are ignoring the TM Claims notices, and proceeding to
>>> registration), then that means *all* the values above for Q would
>>> have to be *higher* than 93.7% (and that would put
>>> constraints/bounds on the value of "C", otherwise one would generate
>>> impossible values of Q that exceed 100%).
>>>
>>> But wait, there's more! What's a realistic value for "C"? That's a
>>> critical value....do we have any evidence as to what percentage of
>>> registration attempts are problematic//cybersquatting, vs. those
>>> that are made in good faith and non-problematic? We do! We have the
>>> top 10 most frequently requested strings as per the analysis report,
>>> which Rebecca referenced, ALL of which were common terms like "ONE"
>>> or "HOTEL" or "CLOUD" which have multiple legitimate and
>>> non-infringing uses. (We also know that the number of domains
>>> disputed via a URS or UDRP is also small) Thus, we can infer from
>>> that empirical data that the value of "C" is not close to 100%, but
>>> is closer to 0%. That implies that the collateral damage, even in
>>> the best case scenario with 100% effectiveness of TM claims notices
>>> on cybersquatting registration attempts, swamps the possible
>>> benefits of the TM Claims notices.
>>>
>>> Sincerely,
>>>
>>> George Kirikos
>>> 416-588-0269
>>> http://www.leap.com/
>>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.leap.com_&d=DwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=E-M4OQvQBo8UWqE1LwEiDR3PcWlfM0I-0jiI1c4ous0&m=rYudboF0Oc2n6ucf1_74XIJ2mpuRGCQAJDnVmoBto_A&s=B2lCIYnaCvNa1Mdt6ZTmjzgawRteRw-D57BZ0aRxlOk&e=>
>>>
>>> On Tue, Mar 26, 2019 at 1:31 PM Tushnet, Rebecca
>>> <rtushnet at law.harvard.edu <mailto:rtushnet at law.harvard.edu>> wrote:
>>> >
>>> > I was unable to attend the Kobe meeting, so I wanted to post my
>>> view on the first tentative answer:
>>> >
>>> > QUESTION 1 Is the Trademark Claims service having its intended effect?
>>> >
>>> >
>>> > (a) Is the Trademark Claims service having its intended effect of
>>> > deterring bad-faith registrations and providing Claims Notice to
>>> > domain name applicants?
>>> >
>>> > Tentative answer of Subteam in Kobe session: Probably
>>> >
>>> > RT: We don't have enough information to make any kind of judgment
>>> about this. It might be a deterrent, if you believe that
>>> cybersquatters can be deterred by a notice, but we have collected
>>> zero data that indicate that this is true.
>>> >
>>> > Where data are absent: (1) what percentage of registration
>>> attempts that received a notice turned back because of the notice,
>>> with a huge potential range; (2) what percentage of registration
>>> attempts that received a notice were “cybersquatting” or even
>>> “inadvertent trademark conflict” as opposed to completely
>>> unproblematic uses of strings like cloud and hotel; (3) whether the
>>> cohort that turned back was (a) proportionate to the problem
>>> intended to be solved, (b) disproportionately made of cybersquatters
>>> or other potential infringers, or (c) disproportionately made of
>>> legitimate potential registrants (since we have no data on what
>>> deters cybersquatters nor any other information about how people who
>>> intend to cybersquat respond to notices); (4) whether the absolute
>>> number or relative percentage of cybersquatting attempts changed
>>> when there was no longer a notice in place (as a change in behavior
>>> post-notice period, or its absence, could have provided relevant
>>> evidence); (5) we have no data about what the general incidence of
>>> cybersquatting in the new gTLDs is in the first place, whether in
>>> absolute terms or as compared to legacy gTLDs without the notice
>>> system. In sum, there is evidence that notice may increase costs
>>> and deter registrations, but no evidence about what those
>>> registrations would have been in the absence of notice.
>>> >
>>> >
>>> > At best, it is "possible" that the Claims service is having its
>>> intended effect. There is insufficient evidence that this effect is
>>> "probably" happening.
>>> >
>>> >
>>> >
>>> >
>>> >
>>> >
>>> > Rebecca Tushnet
>>> > Frank Stanton Professor of First Amendment Law, Harvard Law School
>>> > 703 593 6759
>>> _______________________________________________
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