Apparently men with low testosterone get COVD worse.
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As of Thursday, December 11, 2025, South Sydney Rabbitohs forwardKeaon Koloamatangi has reportedly agreed to a deal with the Parramatta Eels, but it is not yet officially announced by the clubs. Soon to be announced.
Read more…I've been frustrated recently about the work we have been doing in the open market. Jonah's alright for a year and JDB is solid but he's getting old. I feel we need more in the forwards and some a replacement outside back. All I have seen is links…
Read more…This Remberance Day let us also remember is up to it's eyeballs in a brave fight to survive against a superior attacking forceI have still never seen anything like the performance of a young Ukr warrior (Predator), with a go-pro on his head who…
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Some interesting articles are being written about Clubs poaching players out of their district. Our responses that clubs such as Easts, Manly, Melbourne should relocate to do their development were equally interesting. I will start by saying that…
Read more…Our final SGA meeting has been held for the year. Some of the key points from the meeting are below incorporating football operations, merchandise, membership, game day and fan engagement. Football operations The club is very happy with the Iongi…
Read more…https://www.smh.com.au/sport/nrl/eels-table-mammoth-four-year-deal-for-rabbitohs-star-20251210-p5nmci.htmlParramatta have tabled Keaon Koloamatangi a monster four-year offer in a bid to prise the representative forward out of South Sydney.The…
Read more…The Parramatta Eels are delighted to announce that talented young fullback Isaiah Iongi has signed a long-term contract extension, keeping him at the club until the end of the 2030 NRL season.Since joining the Eels 12 months ago as a rookie, Iongi…
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Better not buy Woods then, for the COVID risk alone.
Haha , the bat probably caught it off Woods .
Then that begs the question "should the bulldogs be allowed inside the Queensland bubble"?
Cobwebs?
Wile, that is not what the study actually reports. We have to be careful swapping from an association claim (Men with X also have Y) to a causal claim (Men with X get Y).
The report noted the study authors explicitly saying it's an association not a causal finding. They don't know if pre-existing low testosterone leads to worse outcomes if the male gets Covid-19, or getting Covid-19 really badly also reduces testosterone. I'm sure the full report also probably controlled for the obvious confounding factor: age. Older you are, the worse Covid hits.
Daz, I was sent this recent study on Ivermectin. Posting here because someone closed the previous blog for some reason.
https://journals.lww.com/americantherapeutics/fulltext/2021/08000/i...
It seems legit but I'm not sure. What do you think?
I wondered why super closed that blog down, I assume it was him. Maybe he thinks he is You Tube and needs to protect us from alternative views?
Most likely because of UFC 264, i.e. the Wiz and Daz extravaganza.
McGregor breaking his leg off was nothing compared to that show.
Monsier Eel, this Bryant et al study is relatively new and I found it listed in the data sampling we run, but I haven't had a chance yet to go over it (busy with some other tasks).
I whipped through and a few remarks just off the top of my head.
1) the authors state no conflict of interest but that is not true. Bryant heads the UK-based BIRD group which is an ivermectin advocacy group, the UK equivalent to the US FLCCC. You could try to say advocacy is distinct to money, but I would ask why hide the link?
2) study reports 62% reduction in hospitalization risk and 80% reduction in death risk. This is an outsized conclusion given their own data. At best they could say ivermectin might have benefit and is worth a full trial. Why exaggerate the effect?
3) the most technical so bear with me! Look at Fig 7, the funnel plot. Their own diagram contradicts how they render it. The funnel plot measures publication bias (tendency to publish positive not negative findings). If no pub bias, the results should cluster around 1.0. Bryant et al claim they do but their plot shows the opposite. Small and low quality studies cluster lower than 1.0, meaning reduced risk of death if taking ivermectin, but larger and higher quality studies cluster around 1.0 ( o effect). Note the authors identified lower and higher quality studies so I am using their assessment. Their own funnel plot clearly shows publication bias. Statistically, I bet it you removed the small and low quality studies, the beneficial effect Bryant et al report would disappear. I say "I bet" but seriously it's obvious from their own data, as the studies they rank higher cluster to reporting no effect.
4) thus, the big issue with meta analysis comes home to roost here. Just because you pool a whole lot of small and low quality studies, you don't magically produce a large high quality study. They have not produced a big randomized and controlled clinical trial just by pooling data from small low quality trials. But they pretend they have by ignoring their own funnel plot.
5) PS: I just plugged "Kory" and "Bryant" into the search field for our algorithmic data scraper and limited results to past 2 months and I see Kory has tweeted that this Bryant et al study is a "slam dunk" proving ivermectin is efficacious. No no no. A meta analysis even if it is the greatest meta analysis ever is just a pointer to the need for a large, high quality, randomized clinical trial. The meta analysis itself flags associations. If you want evidence of conflict of interest, it's Pierre Kory completely misrepresenting what the study does.
I could say more but to do so would involve following the trail of the 24 studies they use. In a meta analysis, your statistical regressions are only as good as your inputs. Garbage in, garbage out. Health food in, health outcome out! But as I noted, their own funnel plot shows their conclusion relies entirely on the small and low quality studies that they themselves identified as showing signs of publication bias. How did that pub bias ramify through to their conclusion, you should ask. It's garbage in garbage out! They should have performed regression on the two sides of the funnel plot (lower than 1.0 and cluster around 1.0) but they chose to retain the low quality studies. Why? Because it dilutes the "no effect" of the higher quality studies and drives the conclusion toward a positive result. It's publication bias pure and simple. I would not trust any conclusion based on this meta analysis.
https://c19ivermectin.com/
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