At the risk of crapping on Star Trek: The Motion Picture before it's 40th anniversary, I really think I've figured out why that movie is kind of plodding.
Don't get me wrong, I love the movie. It's my favorite cause it's the closest the movies have gotten to Pulp SciFi.
How did it go so wrong?
I got several other drafts of the movie, including the second draft by Gene Roddenberry. Roddenberry's second draft actually added in a lot more character moments.
At the time of filming, it's known that Livingston and Roddenberry were busy re-writing each other in revision after revision.
That isn't to say those two didn't do character moments/action. Livingston has a wonderful character moment of Kirk trying to convince McCoy (now a veterinarian working on a cheetah), to...
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The problem with meta-analysis like this is that it obfuscates the most important issue of treatment, which is timing.
This meta-analysis of controlled trials only looks at hospitalized patients. How long were the patients ill for before being hospitalized? One week? Two? Three? Too late for zinc ionophores (HCQ) (+ZINC? No zinc no point..) to work. Severe illness becomes bacterial in nature.
Was azythromycin administered when the bacterial infections were also too advanced? I have seen Azythromycin work with my very own eyes but that's not to say that if administered too late it may not save the patient. How many patients were given AZT & ventilated? It's all timing.
All the meta-analysis is telling us is if you leave it too late you may have missed the early window for antiviral zinc treatment (Zn+HCQ) & that if you are given AZT when you are ventilated or very severe it may too late for it to save you & corticosteroids may be last resort.
And of course antibiotics need also probiotics, or they may harm the bacterial flora which is part of the immune response. Difficult to tell from a meta-analysis how this problem was managed.
#BMJResearch update: Corticosteroids probably reduce mortality and mechanical ventilation in patients with covid-19 compared with standard care, whereas azithromycin, hydroxychloroquine, interferon-beta, and tocilizumab may not reduce either https://t.co/oQ3lTWUqaz
— The BMJ (@bmj_latest) December 18, 2020
This meta-analysis of controlled trials only looks at hospitalized patients. How long were the patients ill for before being hospitalized? One week? Two? Three? Too late for zinc ionophores (HCQ) (+ZINC? No zinc no point..) to work. Severe illness becomes bacterial in nature.
Was azythromycin administered when the bacterial infections were also too advanced? I have seen Azythromycin work with my very own eyes but that's not to say that if administered too late it may not save the patient. How many patients were given AZT & ventilated? It's all timing.
All the meta-analysis is telling us is if you leave it too late you may have missed the early window for antiviral zinc treatment (Zn+HCQ) & that if you are given AZT when you are ventilated or very severe it may too late for it to save you & corticosteroids may be last resort.
And of course antibiotics need also probiotics, or they may harm the bacterial flora which is part of the immune response. Difficult to tell from a meta-analysis how this problem was managed.
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1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
