Right so here goes, here are some of the things that have led me to believe the statistics issued each day and presented on the news are not wholly accurate and easily lead people to believe the situation is worse than it actually is.
First we have the number of people who tested positive stated as 'cases'. Mostly results from PCR testing. Now when questioned Mathew Hancock said the false positive rate was less than 1%, all tests are subject to 'false positives' nothing is perfect and no doubt the more you test the larger the chances of it going wrong will be, and of course there may be false negatives also.
Here is the information:
https://www.whatdotheyknow.com/request/accuracy_of_rt_pcr_test_in_the_c
Please follow the link contained to this document to see the response.
https://www.whatdotheyknow.com/request/695879/response/1667544/attach/2/1460%20FOI%20Community%20prevalence%20of%20SARS%20CoV%202%20false%20positve%20rate%20it%20rate%20given%20to%20SAGEMPs.pdf?cookie_passthrough=1
So if the false positive rate is under 1% then how can the following examples be explained ?
https://www.cam.ac.uk/sites/www.cam.ac.uk/files/documents/pooled_testing_report_30nov-6dec.pdf
By reading that document you will note that 10 positive tests were originally found, were then re-tested for completeness, none of the original positive tests were able to be repeated so 10 out of 10 were false positives. A bit higher than the less than 1% you have to admit.
I'm not saying that every case tested is wrong but even a small percentage of 55,000 cases we are being told are 'new covid cases' today is quite a lot of cases that potentially are not, people isolating at home for nothing, triggering colleagues/ friends to get a test for nothing and potentially adding further chance for false case numbers to rise triggering more people to get tested.
Another example where a difference has been found between PCR testing and another form of test the LFT was in Liverpool during the mass testing that happened (Liverpool being one of the hard hit areas around the time).
PCR results found that the prevalence across 47,270 people to be 2.98% positive (1,407 cases)
LFT results found that the prevalence across 65,792 people to be 0.61% positive (402 cases)
Of course these two datasets are from separate groups of people using different tests but that is a very large difference, a 3% positive population might be in the right territory to help justify a lock down whilst I think you would have a hard time convincing Joe public that there was a pandemic happening if just 0.61% tested positive.
There is other evidence in Scotland where LFT tests have been carried out along with PCR testing and again they paint a vastly different picture, `I cannot find where I saw it a few weeks ago.
PCR testing has the ability it is clear to detect very small amounts of virus, current or old in a person it cannot tell you, only a second test after a certain amount of time might be used to detect how the viral load is changing based on the cycle threshold required to achieve the original result. Lower cycle threshold on the second test would be more virus present, higher cycle threshold would mean less viral load in the sample.
Information here for those unfamiliar:
https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/926410/Understanding_Cycle_Threshold__Ct__in_SARS-CoV-2_RT-PCR_.pdf
LFT detects active proteins present in someone who is likely to be ill and infectious so of course will report lower numbers as you could argue that PCR is overly sensitive.
For myself that few examples I have highlighted above where PCR testing has shown 10/10 false positives or a large amount more cases than a test which can detect live proteins is enough to make me doubt the very large number of cases reported each day especially when the government should know and be able to tackle any such questions accurately to put people like myself's mind to rest over such matters.
I mean couple of pdf's from the proper evaluation of laboratories they surely have could silence most of social media and gain a lot of people onside from a political point of view.
What I would like more transparency over is where the cut off is set, I don't doubt the methods ability to detect very small amounts of virus, but is this person actively ill and are they a threat to others ?
It also seems like the number of PCR determined cases is highly correlated with the number of PCR tests made, more tests is more cases.
Onto hospital figures, we are told there are xxxx people in hospital with covid, yet to me this conjures up xxxx people on deaths door having their breathing done for them.
An audit was done in Scotland in August and the results were quite striking, of the 384 patients labelled as covid cases in hospitals only 8% were actual current covid cases.
https://blogs.gov.scot/statistics/2020/09/15/counting-people-in-hospital-with-covid-19/
About halfway down under audit findings.
For the lazy the summary is here:
Statistics
Counting people in hospital with COVID-19
September 15, 2020 by Office of the Chief Statistician | Category Uncategorized
We are changing the way we count people in hospital with confirmed COVID-19 as of 15 September 2020. The new figures are lower than the previous published management information and we have a break in the time series. This blog explains why and how.
Current situation
Every day since mid-March, the Scottish Government has been collecting data on the number of confirmed COVID-19 patients in hospital from across NHS Scotland. This data collection was set up quickly to meet an immediate need to understand the impact this new illness was having on our NHS hospitals. It was important to take a pragmatic approach to this in order to avoid any additional work for hospital staff, so while an approach was defined, local areas adopted the best way to extract this from their information systems.
The measure showed a rapid increase in the number of confirmed COVID-19 patients in hospital to over 1,500 in mid-April, reflecting the situation at the time. However, the measure stabilised at around 250 into July and August. Data published daily on coronavirus.data.gov.uk shows that on 26 August, for example, there were 442 COVID-19 patients reported in hospitals in England, 48 in Wales and 17 in Northern Ireland, compared to 249 in Scotland.
In addition, data from Public Health Scotland shows that the numbers of new hospital admissions where COVID-19 was confirmed were relatively low through July and August. In early July, additional information on hospital onset
cases became available, and it was apparent that there were different types of inpatients being included in the figures provided each day by NHS boards, including those who have tested positive for COVID-19 at some point but are no longer being treated for COVID-19.
Investigation
On 26 August, we carried out a snapshot clinical audit to find out more about the relative contribution to the numbers of these different categories of patients (see below). In addition to using the available administrative information, this work involved clinicians in order to fully understand the status of current inpatients. The audit confirmed that the majority of COVID-19 inpatients reported in the daily published statistics were in hospital for an ongoing condition following a resolved COVID-19 infection, or for a condition unrelated to COVID-19. The majority of these were in the two largest Health Boards (Greater Glasgow & Clyde and Lothian), while some other Boards had previously adapted their own definitions to only include current cases, for example Fife did this in June resulting in a decrease in their figures.
Audit findings
The audit of inpatients identified 384 patients in hospital at 1am on 26 August across Scotland who had previously tested positive for COVID-19.
The majority of these patients (87%) were in hospital for a condition unrelated to COVID-19:
45% were hospital onset cases who were no longer being isolated or treated for COVID-19;
25% had recovered from COVID-19, been discharged and then readmitted for an unrelated condition;
9% had a previous positive COVID-19 test in the community, and were admitted for an unrelated reason
8% had been admitted for COVID-19, had recovered but were still in hospital for other reasons.
The audit showed that 8% of patients were either receiving treatment for COVID-19, were in rehabilitation after their treatment for COVID-19 was completed, or were in hospital for COVID-19 related complications. (5% of patients could not be classified into the above categories.)
Obviously we are at a different time of the year now compared to August and they have now decided to report differently based on this but again quite a lot different from the headline of '384' hospital cases when only 8% of them have and were actively being treated for Covid. Not sure where England stands on this reporting and breakdown of hospital cases.
I am not sure what the reporting requirement is for hospitals with covid patients but the numbers can be found here, page 14 out of 15:
https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/948507/NOIDS-weekly-report-week52-2020-1.pdf
To me that says in last week of 2020 we had 85 new covid cases reported (actual clinical cases perhaps not just positive tests ?) , I'm sure someone can put me on the right track as to why many thousand were reported yet only 85 were in the document above.
As for one or two tin foil hat experts dictating all alternate theory, you have to question what they have to gain for doing so and what they have to loose by being so publicly wrong (possibly their whole career?)
I count over 13,000 medical and public health experts world wide and over 39,000 medical practitioners who have bravely signed the Great Barrington Convention.
https://gbdeclaration.org/view-signatures/
Whilst it doesn't offer a way out of the Winter it shows the worldwide support and willingness of qualified people to speak out.
And my final point, looking at the UK deaths graph so far it appears we are nearly reaching the level now we were at in March or April, if we keep this trend or level then somehow with umpteen lock downs the same amount of people will be apparently dying due to Covid as did in the spring, when we didn't have a lock down until it was quite late so either lockdowns are not effective, or deaths are being or were incorrectly diagnosed either then or now.
Flak jacket on...change my mind with numbers and reports not whining about apparently not caring about people dying. As I have said this has not changed my actions with regard to lockdown compliance just my already dim view of those apparently in charge and their 'science based' approach.