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> generated anonymously and verifiably People are so naive about how hard it is to really anonymize data and how surprisingly easy it could be to deanonymize i
by rmbyrro 5y ago
> generated anonymously and verifiably
People are so naive about how hard it is to really anonymize data and how surprisingly easy it could be to deanonymize it that I'd never trust it without:
1) Some serious explanations and scrutiny about exactly how their deanonimization process work
2) How data leaks are removed from logs and elsewhere
3) how data is aggregated and presented and what measures are taken to prevent deanonimization
Edit: their FAQ is not nearly close to a "serious" discussion. And looking at their code is not an efficient way of learning whether it's a trustworthy approach.
- pedalpete 5y agoI agree with this, but why is anonymizing this data even important? If it's secure just for you, who cares? Maybe I'm missing something. --------- Updated ------------ I misunderstood the "review" part, but still. How hard is it to secure the name of the reviewer. I still don't think they need to be truly anonymized.
- rmbyrro 5y agoI'd be worried about bad reviews. Founders don't wanna have a bad reputation in the small VC world. A bad review for a VC might piss them off. Pissing one VC off might be a recipe for earning bad rep. Numerous datasets have been deanonimized from aggregated stats, just by using correlations and other simple techniques...