The Telegraph, one of the least D papers, has a comparison of Covid numbers.
King's College, extrapolating from its contributors, finds 43,569 new symptomatic cases per day on average, doubling every 28 days. Week ending Oct 25: 36,251 daily new infections, R1.1
Imperial, using interim material from its React-1 study, says 100,000 new cases a day in England, doubling every nine days. Week ending Oct 25: 96,000 new infects, R1.6.
ONS, 51,900 new cases per day, 568,000 people infected at present, doubling every 12-14 days. Up to Oct 25: 51,900, R1.
Sage believes 50,000 to 63,000 new infections daily, R1.1-1.3.
No one seems to mention that R is increasingly considered meaningless as it's not spread evenly like flu, but occurs in clusters. Therefore on many occasions (80-90%) R is 0, and on a few, where a superspreader is involved, R is much higher. Which is why K is coming into use, which takes this uneven spread into account.
If we follow Imperial's models to their logical conclusion, every man, woman and child in the country will have had Covid in under 3 months if we leave it alone. As that seems unlikely, when will infections stop increasing?
Which 'science' is the Government going to 'follow'?