Here is an example of the benefits of public Ct data and tax funded data should but public for the tax payer see.
Particularly if said data is going to be weaponized against the tax pay payer.

This is ONS data showing %positivity using 2 or more gene targets.

Let’s focus in on a few jurisdictions.

Notice the Southwest has zero tests light up with 2+ genes in September?
All tests are positive for ORF1ab?

Other jurisdictions don’t share this pattern. I don’t think a virus can do that. That looks like a lab artifact.

We see a similar anomaly in October for East England.
Only 35% of the test are positive for 2+ genes. That’s an outlier at that time compared to all other labs.

I suspect that’s a lab artifact.

They do not disclose the Ct data on an amplicon by amplicon basis so I can’t dig much deeper here.

I also don’t see any internal control data. This is reckless in clinical diagnostics where sampling can vary so much

Dahdouh et al is a good read on this.

https://pubmed.ncbi.nlm.nih.gov/33131699/ 

When the RNA can vary 1000-10,000 fold swab to swab, your viral load is bullshit.

Chasing tarot cards.

But it’s just your freedom.

No biggie.

Let’s have a look at how some of the ‘leaders’ of these heavily funded labs treat people when they ask for public Ct data?

Step 1) play the victim and accuse the person asking questions of libel.

Step 2) threaten lawyers

Step 3) slander the person in return

I would shut these labs down until they get...

1)Internal control data to normalize the swab variance.

2)Daily public Ct data.

3)Ct data for every amplicon being run with tax money. Currently only have an avg public from Sept to Dec.

4)A 3rd gene on ORF1a -no spike drop out

Here is the link to ONS data that generated this.

Some things to consider...
This level of public scrutiny is not possible in many jurisdictions as the UK is more transparent than most. Please don’t attack Sarah Walker.

But internal controls are needed

https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/coronaviruscovid19infectionsurveydata