That is very clear. You didn't engage her argument at all.
Is is really too much to ask for scientific mega project to generate all that value, while at the same time same pursuing a central object that is scientifically viable?
That is very clear. You didn't engage her argument at all.
Is is really too much to ask for scientific mega project to generate all that value, while at the same time same pursuing a central object that is scientifically viable?
Really - I thought that we were debating an article by a scientist, who along with many other scientists disagrees with that position.
>>This is supported by technical arguments which are hard to communicate to the general public.
And yet the general public is being asked to pay for it. Perhaps sorting out that gap and explaining how understanding dark matter will be as important as (for example) curing cancer or alzheimers disease, or more prosaically cystic fibrosis or malaria would be a good thing? Or even understanding ecologies and the global climate? Will the new accelerator be carbon neutral? Will understanding dark matter prevent the collapse of our planet and the deaths of our children?
If I were a politician funding this project I would want some pretty cold, hard information on these things.
If a physicist criticises recommendations by epidemiologist without reference to the theory of how diseases spread, should you count that as disagreement from the consensus of how to fight infectious diseases?
It's difficult to know. General relativity is useful for GPS. Superconductivity is useful for NMR that actually sometimes saves children from cancer. Neither of the applications were clear at the discovery time.
(My favorite was Magnetoresistance. You start to explain it as a weird quantum boring effect of the spin of electrons in magnetic conductors, and when the other person is convinced that it totally unuseful you explain that it is used in hard disks. SSD are killing the fun.)
Superconductivity -> NMR ~60 years?
Do we have that long?
These projects are a way to train high skilled STEM people (competition to stay at CERN is brutal, but most go on to industry) in a structured way that then work on a lot of other societally relevant problems.
I think it's more correct that you will be generating observations in largely the same way as in the past, but with higher resolution and fidelity.