So have an alternate card titled "Promoting your country" rather than "Propaganda" or "Personal Safety" rather than "Firearms".

Some of these cards definitely present biases that could prime someone to vote a certain way such as "Exploitative Gig Economy" is clearly biased. I would strongly guess if certain cards were worded more positively, they wouldn't be ranked as poorly.

"Advertising" -> "Promoting your product"

Or some of them are so broad it's difficult to disambiguate the good from the bad like "Telemarketing", "Advertising", or "Pharmaceuticals". Some of it is awful while other parts are between great and ok.

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Another interesting dynamic I was thinking of as I was answering was the axis of "Personal Responsibility" to "Social Responsibility".

It gauges how the crowd thinks of harm. For instance, Environmental Pollution is bad because it harms everyone and no one _chooses_ to be polluted on necessarily while something like Sugary Drinks is largely a personal choice that affects no one else.

Maybe another axis of "Protection" to "Liberty" where something is a personal choice but could be seen as bad because it is addictive or otherwise tries to trap the person.

So Adult Platform would be fairly squarely in Liberty/Personal while something like Online Gambling would be Protection/Social.

I think many trigger a visceral negative reaction, like animal testing, but most of these can be broken up into sub-parts that are both obviously good and obviously bad at the same time. Animal testing of cosmetics: bad, animal testing of the safety of a new drug that millions of humans will take: probably good. Chemical manufacturing that produces plastic packaging for things that could use paper packaging: not great, chemical manufacturing for chemicals used in healthcare, probably good. To be clear, these are nuanced topics and I'm not interested in debating them here, just providing illustrative examples.

I realise this isn't really the point of this experiment, but it does go to show how much the framing matters. This is part of why surveys can produce radically different results depending on how you write the questions.

I really thought the author did something here.

For example, Cannabis is "Cannabis cultivation, dispensaries, and marijuana-related businesses", while Sugary Food & Beverage are "Products associated with obesity, diabetes, and health concerns". So if you think there is also a positive side to sugar, the context makes it clear you are voting for the negative side. But the negative sides of Cannabis are left out of the context, so you're more likely to be neutral or positive about it.

Another example is Environmental Polluters, which are "Industries with major pollution, emissions, or environmental damage". And you also have Chemical Manufacturing, which is "Industrial chemical production and hazardous material processing". But there is no such thing as a "pollution and hazards" industry. So what are we voting for as "worst" here? Nitrogen and Cement? Industry in general?

And the rankings are just an ordered list, completely opaque. With all the overlap between the options, there has to be something actually interesting to do with the data.

Perhaps adding a text input after the selection to ask a user to describe their position on the topic and having that broadly shared would help towards that goal?

The rankings page doesn't give me any sense either of how my opinion broadly tracks against the "public opinion". This would fundamentally change the flow you have going but presenting the options and then asking the user to manually tier list them would allow for that side by side comparison.

This is so funny because simply by including an industry there is an attempt to sort it into signs of a failing of society. It's borderline performance art when you are asked to choose if "dating apps" are worse than the industry that makes bombs and chemical weapons which kill thousands of people daily

I thought the point was to show how ranking industries based on "evil vibes" is subjective.

Also curious to see diff per region/state and maybe as some further vision connection of it to a specific regional stats regarding the topic.

This also highlights a major flaw with voting and political campaigning in democracies:

Undifferentiated blanket judgements based on biased framing, polarizing society artificially into totally unnecessary camps of opposition.

Also, some of these things are definitely not like the others.

You just have context-free character strings to work with here.

And then I peeked at the leader board and *really* didn't care for the things ranked best at all.

  - private military 6 but defense 39;
  - surveillance tech 7, data brokers 9, but facial recognition 14, social media 17, advertising 34;
  - polluters 3 but coal 26, oil 30, mining 37;
  - scam 5 but clickbait 15, MLMs 18;
  - influencers 22 but ads 34 (influencers *are* ads);

  - lobbying / disinformation are close (1,2);
  - escorts, adult platforms, dating, adult content all 47-50 (nice!)