Does anyone remember it being 14% last week? When we had around 4000 new cases per day .. didn’t they say 11% were Omicron but only 8 or something people in the week tested positive for this new variant? Who the fuck is doing the fucking maths here?

Does anyone remember it being 14% last week? When we had around 4000 new cases per day .. didn’t they say 11% were Omicron but only 8 or something people in the week tested positive for this new variant? Who the fuck is doing the fucking maths here? from ireland

9 comments
  1. I don’t think they check every single positive result to see what variant it is.

    Let’s say they pick 10 random positive results per day this week to check what variant it is… and each day 1 was the new variant. Then 7 out of 70 or 10% would be that variant.

  2. In Ireland, we only do genomic sequencing on a tiny sample set of tests. It’s only through this that you get “confirmed” Omicron cases – that’s your “8 or something”

    It has been noted that PCR tests can observe an [“S Gene Dropout](https://www.who.int/news/item/26-11-2021-classification-of-omicron-(b.1.1.529)-sars-cov-2-variant-of-concern)” in the Omicron mutation so you can surmise that PCR tests that show this could be assumed to be Omicron and estimate it based on this, but it’s not accurate and hence not confirmed – that’s your 14%/11%.

    Both figures are not directly related to one another (maths-wise).

  3. Let’s say you have a thousand eggs. Either red, green or blue. You want to know the distribution of the colours.

    So you randomly take 10 eggs and check the colours.

    There’s 2 blue, 3 green and 5 red. From this you can extrapolate there are around 50% red eggs of the 1000. As that was the case from the sample you took at random. Now there will be desrepencies in the number here or there but you will have a number you can reliably count on.

    You could even do this a few times, take a random 10 eggs each time, then get the average of each group added together, to get a more accurate number.

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