You correctly say there is very little reliable data and highlight many in the field are guarded on making calls at this time, yet go on to promote purely positive-sided viewpoints.
I'm very much an optimist glass half-full kinda guy, and I approach pretty much all I face with a positive mindset. However, I'm also guarded with regards searching out what I WANT to find, confirmation bias I suppose, and try to be a bit more even-handed. As such, I'm not sure your run-down there is particularly balanced.
However, it doesn't matter what I think, what I read nor what I write on here - what will be will be. And we all want that to be as positive as possible, involving minimal health impacts, few lives lost and us all just being able to get on with living properly. Fingers crossed...
Tbh I think you are a little bit on the doom & gloom side of this, at least it appears that way. dsr-burnley gave a perfectly reasonable theory to why people have perhaps taken more tests recently but got a passive-aggressive answer about "implying things" when it appears to be perfectly fine to imply negative things through all eg these models (based on limited data). I think there should be room for both positive and negative theories.
What I do agree with you on is that just because Omicron might be milder (again, we dont know) it doesnt mean it needs to be less of a problem. If it is 2x milder but 3x more transmissible and then it is quite easy to understand that in the long run it could cause as much/more problems.
It is all very early though. A lot of us, including me, bought into Neil Fergusons (as it turned out) absurdly pessimistic models early in the pandemic and likewise many models when it came to both delta and the "exit wave" ended up massively exaggerated on the pessimistic side. Each to their own but for me, I'm not going into any kind of "this is promising" or "this is worrying" mode until hospitalisations decrease or rise.