Vlad,
Accurate data about what? Do you think a low level of religious beliefs demands a legislated policy of ignorance of them? You are surely talking about the clever excision of any affiliation to religion
Bizarre. Accurate data about religious beliefs, obviously. If you’re going to frame beliefs-based public policy and rely on what people believe to justify it, then you need know what it is that people do believe.
This shouldn’t be difficult to grasp.
I think on this matter Humanist UK are hypocritically criticising others for trying to somehow interfere and skew policy making by exercising a fantasy view of Britain as an oppressive theocracy.
Why are you so frightened of accurate rather than inaccurate data being used to frame public policy?
I think you'll find also that the goals of Humanism UK are doctrine rather than scientifically and statistically based.
Again, you can make whatever claims you like about “goals”. None of them are relevant though. If policy makers want to frame policies justified by what people believe then – regardless of what those policy makers’ goals may be – they should do so on the basis of accurate data about what those beliefs are.
Why would anyone disagree?
I'm afraid ONS haven't accepted that.
The ONS have accepted what they’ve been told to accept, and your paranoid fantasies about the humanist “goals” have no relevance to that.
Frankly I find the suggestion that some people who culturally identify they are religiously affiliated are fooled poor hoodwinked suckers who need enlighted by celebs and scientists rather patronising. How about you?
Except of course the data tells you that very different answers can be obtained if the question is put differently. It’s called framing bias, and it has nothing to do with the intelligence of the respondents. There’s a famous case study for example of oncologists being asked whether they’d opt for chemo or for surgery when the former has a 10% mortality rate and the latter a 90% survival rate. They second group were then asked the same question with the outcomes swapped. The two groups both biased heavily toward the 90% survival rate options, even though “10% mortality” and “90% survival” mean the same thing. Why? Because “survival” has positive connotations and “mortality” has negative connotations.
Would you say those highly trained and qualified oncologists were “poor hoodwinked suckers who need enlighted” (sic)?
Why not?