Meredith Whittaker

It is. I mean, it's a catalyst into today for my work.

And we actually talked to them at Signal. They'll detect signal blocking. And I believe... So one of the things MLab did was provide... backend infrastructure for projects like Uniprobe. And I don't actually know what that relationship is today.

And we actually talked to them at Signal. They'll detect signal blocking. And I believe... So one of the things MLab did was provide... backend infrastructure for projects like Uniprobe. And I don't actually know what that relationship is today.

And we actually talked to them at Signal. They'll detect signal blocking. And I believe... So one of the things MLab did was provide... backend infrastructure for projects like Uniprobe. And I don't actually know what that relationship is today.

But, you know, so academics and hackers and developers could write a test or, you know, kind of a measurement methodology, deploy a client to consumers, like you test from your laptop or whatever. And then we would be the ones paying for the bandwidth and infrastructure that would allow that to scale.

But, you know, so academics and hackers and developers could write a test or, you know, kind of a measurement methodology, deploy a client to consumers, like you test from your laptop or whatever. And then we would be the ones paying for the bandwidth and infrastructure that would allow that to scale.

But, you know, so academics and hackers and developers could write a test or, you know, kind of a measurement methodology, deploy a client to consumers, like you test from your laptop or whatever. And then we would be the ones paying for the bandwidth and infrastructure that would allow that to scale.

Yes. If I remember the acronym.

Yes. If I remember the acronym.

Yes. If I remember the acronym.

Well, I mean, there are many. So I was not working on MLAB by that point. Because there's a part of this story that I didn't cover, which is around 2014, 2015. We started seeing really interesting artifacts in the data, which showed essentially that at particular interconnection points between particular telcos, We were seeing drastic drops in performance.

Well, I mean, there are many. So I was not working on MLAB by that point. Because there's a part of this story that I didn't cover, which is around 2014, 2015. We started seeing really interesting artifacts in the data, which showed essentially that at particular interconnection points between particular telcos, We were seeing drastic drops in performance.

Well, I mean, there are many. So I was not working on MLAB by that point. Because there's a part of this story that I didn't cover, which is around 2014, 2015. We started seeing really interesting artifacts in the data, which showed essentially that at particular interconnection points between particular telcos, We were seeing drastic drops in performance.

And what we were able to do was look at every intersection of telco one and telco two, we see this drop. Intersections of telco three and telco two don't see this drop. And so what we're able to do is say there's actually a business feud there.

And what we were able to do was look at every intersection of telco one and telco two, we see this drop. Intersections of telco three and telco two don't see this drop. And so what we're able to do is say there's actually a business feud there.

And what we were able to do was look at every intersection of telco one and telco two, we see this drop. Intersections of telco three and telco two don't see this drop. And so what we're able to do is say there's actually a business feud there.

going on and the interconnection point is the locus of that feud and using trace route data we were able to say like look these aren't so it's not just that they're sharing a path in some other you know region of the network that's slowing it down they're actively throttling they're actively throttling and what that we put together a report on that and you know kind of this is where i was sort of

going on and the interconnection point is the locus of that feud and using trace route data we were able to say like look these aren't so it's not just that they're sharing a path in some other you know region of the network that's slowing it down they're actively throttling they're actively throttling and what that we put together a report on that and you know kind of this is where i was sort of

going on and the interconnection point is the locus of that feud and using trace route data we were able to say like look these aren't so it's not just that they're sharing a path in some other you know region of the network that's slowing it down they're actively throttling they're actively throttling and what that we put together a report on that and you know kind of this is where i was sort of

I think kind of sideloading myself into some academic research work. I was like, okay, how do we do this? How, you know, method document, our methodology document sort of, you know, everything was open. So we pulled that together and it, um, it showed, I don't know if you remember, there was a sort of Comcast cogent Netflix. Netflix was shoving all its graphics through cogent.