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I will bite. The issue with this presentation is that it create a worst of all worlds narrative, without any space for nuance. Where everything that can go wron
by AMEDICALRe 11y ago
I will bite. The issue with this presentation is that it create a worst of all worlds narrative, without any space for nuance. Where everything that can go wrong goes wrong.
For every russian LGBT person worried due to acquisition of LiveJournal, there are countless in other countries who have benefitted from Social Networks, who have organized & furthered their cause. Also the state apparatus is so powerful that any additional knowledge gained from LiveJournal data is likely meagre.
These slides espouse the same kind of luddite thinking that brought us Drug Wars, where rather than sane policy making we ended up with war on drugs fueled by morality and lack of introspection. One can easily construct similar set of slides showing why "Free Speech" is evil and ought to be regulated like "Radioactivity".
Also the writer has zero training in Pharmacy or BioMedicine and is talking complete non-sense when it comes to Pharma industry. Over last three decades medicine has had significant improvement thanks to innovation in devices, surgeries and adoption of "Evidence based medicine" and no the evidence comes from "Data" collected on large scale and not randomly injecting patient with chemicals. We have made huge progress in curing some types of cancers, converted HIV-AIDS into a manageable chronic condition from a death sentence. For all the visions of doom, and cherry picked examples of poor leaders, World has been a much better place.
The growing fear is that the data-driven approach is inherently a poor fit for life science. In the world of computers, we learn to avoid certain kinds of complexity, because they make our systems impossible to reason about.
But Nature is full of self-modifying, interlocking systems, with interdependent variables you can't isolate. In these vast data spaces, directed iterative search performs better than any amount of data mining.
All these statements are complete bullshit and presented with zero evidence. This article is so spectacularly bad that I am amazed. The author majored in Russian and Studio Art, and other than some programming (seemingly very proficient) has no knowledge or background in Medicine, Healthcare or Bio-Medical Sciences.
- xjlin0 11y agoI am not zero-trained in BioMedicine. The writer is actually not too wrong about it. That field has been always evidence based, for example, you can always enjoy the evidence in Morgan or Mendel's 100 years ago paper. And the data collected in that field is usually much bigger scale than so called big-data, do you know how much DNA needed to be purified, crystallized, imaged and be discovered as double helix? And don't forget to check how drug candidates are "screened by library" -- that's one fancy name of "randomly try with chemicals". BTW I don't think it's correct to say "curing some type of cancers", it's actually some treatments that extending the dying path.
- AMEDICALRe 11y agoWhat? Glivec, Chemo, Marrow Transplants are extremely effective against several types of cancers. Sure we are powerless against a significant proportion, yet we do "Cure" few types of cancers. and in spite of what Pop-Sci article you might have read, all treatments don't "just extend the dying path".
- username223 11y agoWe truly live in the best of all possible worlds, Pangloss!