> I get about 2 wrong every time on purpose. I do the same, but actually get google to accept bad data as good. The trick is to get the system to trust you (e.

> I get about 2 wrong every time on purpose. I do the same, but actually get google to accept bad data as good. The trick is to get the system to trust you (e.g. by supplying one honest answer), then selecting answers that the system is likely to be unsure about. If done correctly, you can get them to accept a lot of bad input this way. Like you, I am under no illusion that this will have some sort of effect on the correctness of the resulting ML models, but I like to think that I am at least delaying or otherwise decreasing the training rate. Have google adopted stackoverflow's model of making the result of our unpayed work available to us, I would have answered these challenges honestly.