Comparisons, to other browsers and extensions are always going to be there, but we are aiming higher by creating a viable, mainstream-friendly alternative for a free web where creators earn, without the user's privacy invasion being a "cost of doing business."
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Replying to @lukemulks @RichFelker and
Something else to mention: ongoing research to automate exception management, protect against bounce trackers, and minimize false positives in blocking. We are working to minimize the burden on users of today's ad/tracker-blockers. https://brave.com/brave-proposes-a-machine-learning-approach-for-ad-blocking/ …https://brave.com/redirection-based-tracking/ …
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Replying to @BrendanEich @lukemulks and
Is providing random info to trackers and saturate them with noise a good approach? Just blocking them doesn’t seem to work
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Replying to @frr149 @lukemulks and
No, if you load 3rd party scripts, you're already tracked and also you take a big performance (network=radio/battery, memory, page load) hit. Sending noise back runs real risks of being labeled ad fraud, which affects not just you: it's how Google justified banning Ad Nauseam.
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Replying to @BrendanEich @frr149 and
A massive network of fake clicking sounds like the right way to destroy adtech.
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Replying to @RichFelker @frr149 and
Sad to say, those networks exist. >= $16.2B taken last year in US from $80B+ gross spend. You have to realize how co-dependent the whole ecosystem is, from Google down. Marking fraud to 0 could hit G bottom line by at least $9.6B. No one wants this, everyone takes fees for fraud.
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Replying to @RichFelker @frr149 and
I do too, rhetorical device aside. "No one" means the vested interests, starting with Google and Facebook. In spite of protests to the contrary, and I'm sure sincere intentions among some of their employees. The bottom line hit would trash the stock price.
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Replying to @BrendanEich @RichFelker and
It would be a beautiful way ro to about it, but unfortunately the problem is larger than clicks and noise. Data Management Platforms will track different parameters from the noise and will ultimately find out more about the people that are adding the noise.
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Replying to @lukemulks @RichFelker and
It's easy to filter out noise, indeed. The NHT (Non-Human Traffic) problem is much more sophisticated now: fake and convincing clicks, mouse moves, even some mobile device motion-sensor fraud.
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If that's the case then real clicks from browsers with any degree of tracking protection wouldn't get counted...
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