18/n The authors also produced these graphs, and argued that since they were relatively similar that government restrictions against COVID-19 didn't explain the difference in mortality that they sawpic.twitter.com/2ojQMWHrxQ
Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him
You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Add this Tweet to your website by copying the code below. Learn more
Add this video to your website by copying the code below. Learn more
By embedding Twitter content in your website or app, you are agreeing to the Twitter Developer Agreement and Developer Policy.
| Country | Code | For customers of |
|---|---|---|
| United States | 40404 | (any) |
| Canada | 21212 | (any) |
| United Kingdom | 86444 | Vodafone, Orange, 3, O2 |
| Brazil | 40404 | Nextel, TIM |
| Haiti | 40404 | Digicel, Voila |
| Ireland | 51210 | Vodafone, O2 |
| India | 53000 | Bharti Airtel, Videocon, Reliance |
| Indonesia | 89887 | AXIS, 3, Telkomsel, Indosat, XL Axiata |
| Italy | 4880804 | Wind |
| 3424486444 | Vodafone | |
| » See SMS short codes for other countries | ||
This timeline is where you’ll spend most of your time, getting instant updates about what matters to you.
Hover over the profile pic and click the Following button to unfollow any account.
When you see a Tweet you love, tap the heart — it lets the person who wrote it know you shared the love.
The fastest way to share someone else’s Tweet with your followers is with a Retweet. Tap the icon to send it instantly.
Add your thoughts about any Tweet with a Reply. Find a topic you’re passionate about, and jump right in.
Get instant insight into what people are talking about now.
Follow more accounts to get instant updates about topics you care about.
See the latest conversations about any topic instantly.
Catch up instantly on the best stories happening as they unfold.
18/n The authors also produced these graphs, and argued that since they were relatively similar that government restrictions against COVID-19 didn't explain the difference in mortality that they sawpic.twitter.com/2ojQMWHrxQ
19/n As far as I can see they didn't actually TEST this possibility - they just eyeballed the graphs, and said they were similar enough But are they?
20/n For example, the graph from Puno is plotted on a different axis to the others, which means that the declines in movement (the coloured lines) are all at least ~10% different to the other placespic.twitter.com/GhGMIt4omb
21/n Also, the "excess" mortality is wildly different between regions, peaking at different times in different places. That's not that similar imo!
22/n The other fascinating thing about these graphs is that they appear to completely undercut the entire argument in the study You see, the program that they've used to delineate exposure started at the end of Julypic.twitter.com/NLqIR8srzS
23/n As far as I can tell from the study and news reports, it consisted of first identifying high-risk people for a week or two, then going house-by-house to test them and deliver care packages over the next few weeks/months
24/n This means that the EARLIEST that the program could've been delivering ivermectin is around the second week of August But look at the peaks of excess deaths in those graphspic.twitter.com/QjaXUNrslR
25/n It appears that in most cases, the peak of deaths happened in August ~or earlier~, which means that this program wasn't even started until deaths had already peaked in most places. This is a pretty huge issue for the analysis!
26/n Anyway, at a basic level there's absolutely no way to estimate from the data how many people were actually taking ivermectin in any of these places, so this analysis cannot possibly show that ivermectin is effective or ineffective 
Given that there exists a plausible antiviral mechanism, evidence that routine AP use is correlated with lower C19 viral loads, non existent adverse effects at clinical doses and lots of positive outcomes from hospital data - why do you *only* focus on poor q studies? Stooge!
I've tweeted about several high-quality studies and why I think they're good actually. People just don't care very much, perhaps because most of them don't show much of a benefit
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.