Maybe your (anyone's) system 1 might assume only two possible outcomes, but it's not in the question - it's which is more likely, and one option assuredly is, up to a less-than-or-equal sign.
I hope the actual study wasn't as "tricky" as it was referenced in the article re: the Linda example
I'd imagine there's enough stuff Kahneman identified with biases that have held up and don't involve artificial questions like this designed to trick the respondents whose real world applicability seem questionable at best...
further, in the supplied example, I'd argue that the prior probability of Linda being a feminist (based on her being an activist/etc.) is probably higher than her not being a feminist so, in a sense the respondents got it right (i.e., in that population, I'd argue there are more women who are bank tellers and feminists than just bank tellers)...
