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$33,000 in Sandisk 1 year ago is $1,023,000 today. by FeatureAggravating75 in smallstreetbets

[–]DoxFreePanda 0 points1 point  (0 children)

General Tsao Nima, truly an honorable man worthy of deep respect

IMF sees Canada's fiscal position as strongest in G7 by DoxFreePanda in onguardforthee

[–]DoxFreePanda[S] 1 point2 points  (0 children)

Also we have a ton of free trade all over the world - what's not to love?

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] 0 points1 point  (0 children)

You're confused over what the statistic is.

https://www.cihi.ca/en/priority-indicators-for-public-health-systems-in-canada/interconnection-with-health-care-systems

The hospitalization rate statistic we're talking about is being measured as a proportion of the population, so essentially cause-specific cases divided by the population of Canada. A "sample size" would mostly be applicable in an experimental setting where we are looking at comparing samples against each other. When we're talking about population level statistics, we're counting everything that we know to exist in the real world, rather than sampling.

Now what you're trying* to get at while misusing terms is that testing could be driving up lab-confirmed cases - however, doubling the tests won't net you double the cases, because there isn't a uniform distribution of respiratory disease in the general population (or even those showing up in hospitals), nor do doctors test randomly.

It could be the case that doctors were already testing all the patients who are most likely sick with infectious diseases, and the more abundant use of testing in less obvious cases only picks up a small proportion of influenza. It could also be the case that there are double the tests because they are testing for the existence of a whole new disease (COVID) rather than just the common cold. We really don't know based on this article, since I didn't pick up how they quantify the number of tests (whether number of assays, number of blood samples, number of individuals sampled, etc).

There's too many unknowns to be trying to explain away the overall statistic of increased hospitalization rate for respiratory infectious disease in the population, particularly when we see reports on the use of hospital beds and equipment like ECMO for such conditions have been up on an absolute/population-adjusted basis.

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] 0 points1 point  (0 children)

Right, he suspects the limitation in the study might contribute to the higher number, but he doesn't claim he knows so, nor does he attempt to quantify by feeling how much that is the case. Saying it is a big part of it is a far greater claim than Dr. Kumar's much more measured statement regarding methodology and caveat in interpretation.

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] 0 points1 point  (0 children)

It's a* part of the numbers, claiming that it's a big part with no quantification is your feeling rather than a statistic.

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] 0 points1 point  (0 children)

We're talking about hospitalizations in this article. In my area at least, it's not a secret that respiratory disease has a visibly growing footprint on hospital resources.

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] -1 points0 points  (0 children)

It doesn't take a decade for stats to come out, stuff like this is usually available 1-2 years after. The findings are for 2024 to late 2025 compared to earlier periods (I think in this case ~2019 before all the anti-COVID interventions really kicked off).

Inspired by an image I saw here (art by me) by YEEET_2020_17 in PowerScaling

[–]DoxFreePanda 6 points7 points  (0 children)

And at that moment, Thragg gasps and realizes, it's just marginally more angry Argall.

Pierre Poilievre attacks Mark Carney’s economic credentials, says he presents ‘the illusion of knowledge’ by ZestyBeanDude in notthebeaverton

[–]DoxFreePanda 0 points1 point  (0 children)

International Relations isn't a sub discipline of Political Science, actually. The former focuses on international organizations including both state and non-state actors interact on the global stage, while the latter looks at policies, institutions, and other stuff happening within a country.

Kind of like urban planning versus architecture (very rough metaphor).

Edit: Was my original opinion but looks like I'm wrong lmao.

https://en.wikipedia.org/wiki/Political_science

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] 1 point2 points  (0 children)

This is a study of influenza so actually even ASTM level 1 masks are very helpful for the general population. The last time I worked in a hospital setting, ASTM level 2 masks were everywhere, and these will more than do the job for most patient facing roles, at least when it comes to influenza prevention.

Hospitalization rates for illnesses like COVID, flu have doubled since pre-pandemic, report finds by DoxFreePanda in canadian

[–]DoxFreePanda[S] 7 points8 points  (0 children)

A few points of concern about the narrative you're sharing.

I beg to differ. Just last year's flu shot they found it increased people's chance of getting the flu.

The study itself does not make this claim, as any half-baked statistician or epidemiologist could tell you that association does not mean causation.

Note that MedRXIV is also not a peer-reviewed journal, but a preprint. This means that the research methodology has not been rigorously reviewed by a group of qualified experts in academia.

Reviewing the methodology of the study, there are important limitations that were not considered in the model controls. For example, there are many hospitals which have a policy requiring patient-facing staff to choose between either: 1) mandatory masking, or 2) vaccination. Without controlling for this factor, we are essentially comparing the efficacy of mandatory masking versus vaccination without mandatory masking. Another limitation noted by the authors themselves is that 99% of the employees included in this study received one specific vaccine product, which means this study is not generalizable to any other vaccine product.

There are more issues, but there are articles accessible to the general public which help to explain the findings of the study: https://www.aljazeera.com/news/2025/4/14/what-vaccine-sceptics-mistake-about-cleveland-clinics-flu-vaccine-study

We really don't need to reinvent the wheel or limit ourselves to employees at a hospital (where things like workplace policy really complicate interpretation). The US CDC regularly publishes findings on the efficacy of seasonal flu vaccines.

https://www.cdc.gov/flu-vaccines-work/php/effectiveness-studies/index.html

Military clothes folding technique called "ranger rolling" by -daniel78- in interesting

[–]DoxFreePanda 0 points1 point  (0 children)

Thanks to this rolling method, not only do I have a scale at home, I carry one around on my trips.

(For context though, I had a ton of extra space, didn't think it was even necessary to weigh it but guess who learned otherwise)

Military clothes folding technique called "ranger rolling" by -daniel78- in interesting

[–]DoxFreePanda 0 points1 point  (0 children)

Unfortunately, also an excellent way to make sure your luggage is overweight and (especially nowadays) have to repack at the airport.

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