I like unions. But the CFMEU, as I understand it (which is 30% at best), is a corrupt and criminally associated union.

Anecdotally, members of the CFMEU have always been the worst kind of people to be in a public space with. The few acquaintances I have in the union are racist, sexist, and generally unpleasant.

So ultimately while I think the government should keep off, the CFMEU is not an organisation I’d personally rally around - owing to internal culture and criminal/gang associations.

For Kitchen Nightmares that’s true, but Hell’s Kitchen is another story altogether for his persona.

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.

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.

It’s an Inferred importance method, as other users have commented it is likely that there are some calibration metrics in there. MaxDiff is the name of the approach if you want to check out more.

Cocaine at bedtime

45° angle mattress.

(I have this issue and if any does have a recommendation hit me)