You’re bang on. It’s called MaxDiff. I use it frequently in my line of work to prioritise product or service messaging with panel data. It’s better in some cases to use Inferred preference rather than stated, but generally good to keep the options comparable in “size” of offer.
I would never interpret a MaxDiff model low end result as “wow, 5% of people want slower browsers.” Instead I’m focusing on the top cluster. As with any model, they’re only ever so accurate. Don’t read into the questions too much.
Stole $1000 (likely from someone who wouldn’t realise it’s even gone) to prevent untold trauma. I understand it’s a grey situation but knowing how damaging conversion therapy can be to a person, I’d say theft is certainly the lesser of two evils.