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Covid 19 Part XXXV-956,720 ROI (5,952 deaths) 452,946 NI (3,002 deaths) (08/01) Read OP

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Comments

  • Registered Users, Registered Users 2 Posts: 8,430 ✭✭✭Deeper Blue


    Good to see the decline in hospital numbers continue. Hammers home the worthlessness of Nolan's models even more.



  • Registered Users, Registered Users 2 Posts: 549 ✭✭✭B2021M




  • Registered Users, Registered Users 2 Posts: 2,336 ✭✭✭CruelSummer


    What previous sources? RTÉ news? independent.ie, Irish times? I know they’re not independent at all now & blatantly pushing propaganda but they’re the sources you’d look to.

    I just asked a question, you didn’t know the answer.

    I know there are certain posters on this thread doing their best to keep the labels flying out to anyone they don’t agree with, or to anyone who questions the logic for the current policies. Off with you.



  • Registered Users, Registered Users 2 Posts: 15,450 ✭✭✭✭stephenjmcd


    Here's all the SI relating to covid.

    You'll find no reference to removing the recovery cert so whatever you were told is incorrect and fictional.




  • Registered Users, Registered Users 2 Posts: 32,136 ✭✭✭✭is_that_so


    Much as I've had my own feelings about the modelling they do serve a purpose as a possible indicator of the spread of disease. As has been stated more than once at NPHET briefings it is not an exact science. The real trouble though is governments are used to models and predictions that can inform and direct policies in the real world. Epidemiological models just don't do this, yet they are taken as gospel and are used to make wide ranging decisions that can look quite ludicrous and excessive.  

    I'm not sure if there is an answer to this. The modellers, in good faith, are doing all their scenario analysis but while they only look at disease spread and not things that mitigate it they just can't tie it to any reality.



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  • Registered Users, Registered Users 2 Posts: 31,285 ✭✭✭✭Lumen


    They're no better or worse than economic models (which are also dependent on human behaviour), I'm sure if the spotlight was thrown on predictions by the ESRI or whoever they'd look dire too. It seems like every few months we get "surprises" in corporation tax returns, or VAT, or income tax.

    The difference is that ESRI models don't determine whether you can go to a nightclub or not.



  • Registered Users, Registered Users 2 Posts: 32,136 ✭✭✭✭is_that_so


    Sure except that the government doesn't only use one single model. It has access to a wide variety of data and sources.



  • Moderators, Science, Health & Environment Moderators, Society & Culture Moderators Posts: 60,322 Mod ✭✭✭✭Wibbs


    So? The models from the start have been vague, wildly innaccurate, or right every so often in the way a stopped clock is right twice a day. Not just in Ireland either. For all the good they do we may as well bring in a tarot card reader and cross their palm with silver. I completely understand why pure maths fans like them, or middle managers looking to burn off an excess in their department budget at the end of the year, and at the start of this when we had no existing data and understanding built up, but otherwise their values appears to have been minimal.

    Never mind that models or not NPHET end up suggesting completely unscientific nonsense like changing closing hours in pubs.

    Many worry about Artificial Intelligence. I worry far more about Organic Idiocy.



  • Registered Users, Registered Users 2 Posts: 32,136 ✭✭✭✭is_that_so


    The point is they can have any number of competing opinions to evaluate and consider. Here there is only one. The measures recommended out of this advice are an entirely different conversation but the models are used to justify them.



  • Registered Users, Registered Users 2 Posts: 725 ✭✭✭M_Murphy57



    Uk daily mail predicting a million cases a day in January. In a population of 66 million, almost all of whom are vaccinated and many in addition recovered.

    Makes nphets hysteria and vastly inaccurate predictions look almost reserved.



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  • Registered Users, Registered Users 2 Posts: 713 ✭✭✭cheezums


    Bloody scientists with their maths and graphs. Back in my day a stick and a good patch of sand was all we needed to figure stuff out.



  • Registered Users, Registered Users 2 Posts: 1,876 ✭✭✭bokale


    The unscientific nonsense does have an effect on people meeting up though. I see it with different groups I would have met up with regularly.

    Even after the last announcement we had a pretty big night cancelled, due to new restrictions apparently and an event that was split in two for 50 per cent so the lads got a refund instead of actually going.

    Even the 9eur meal everyone laughs at kept groups of people I know from meeting.

    And I know people who've no interest in trekking to town without the options of late bars.



  • Registered Users, Registered Users 2 Posts: 2,106 ✭✭✭I see sheep


    The UK has left recovery out of the new Covid pass rules so if Ireland may follow suit -

    But the big difference is that in the UK a negative antigen is acceptable anywhere you need a Covid pass, so in reality it doesn't stop anyone doing anything (self tested antigen)

    "a terrible war imposed by the provisional IRA"

    Our West Brit Taoiseach



  • Moderators, Science, Health & Environment Moderators, Society & Culture Moderators Posts: 60,322 Mod ✭✭✭✭Wibbs


    Nope. If these models had been shown to produce good results in hindsight you might have a point, but most didn't so a stick and a patch of sand would be about as useful. Their main purpose seems to have been to show various bodies had a handle on things when it was pretty clear they didn't and modelling sounds better than pulling figures out of one's arse. As I said, at the start of this pandemic when we were in the dark wild predictions were understandable, but now nearly two years in, they're looking a lot like flim flam.

    Many worry about Artificial Intelligence. I worry far more about Organic Idiocy.



  • Posts: 0 [Deleted User]


    You'd probably get as close to reality as their models have.



  • Registered Users, Registered Users 2 Posts: 14,200 ✭✭✭✭JRant


    The models are a very handy tool for nphet and the government to hide behind. That's the real value in them. If they are wildly off they can claim to be great lads and that their advice prevented each and every catastrophe that the models projected. It's a win win for them.

    Unfortunately, we elect a certain calibre of TD in this country that wouldn't know this type of model from an AirFix one. Almost every single TD when questioned hides behind "of course we would follow public health advice" completely abandoning the actual job they were elected to do. It's like they carried out mass labotomies in the Dail as there is barely a single coherent thought or idea coming out of it. The constitution and peoples civil liberties are being trampled on for nearly 2 years now and none of them think to stop and ask is it necessary now knowing what we do about this virus.

    "Well, yeah, you know, that's just, like, your opinion, man"



  • Registered Users, Registered Users 2 Posts: 68,190 ✭✭✭✭seamus


    The science and the theory behind the modelling is perfectly sound. In fact the modelling systems are completely open-source and available for anyone to look at and find fault with.

    They are supported as being solid by practically every expert in the field. And when the last models were roundly mocked, many of the experts took a bit of offence and asked that people examine it for themselves.

    The problem is not the modelling itself; the maths and the systems are fine.

    The problem is a very basic premise in data science and analytics - when you put bullshit into your models, you get bullsh1t back out. The model itself is fine, it does exactly what it's supposed to. But models are only ever as good as the data you start with. Models can't fix bad input.

    So when the model doesn't match the reality, you usually go, "OK, we made some mistakes about our input, some assumptions were wrong" and you learn.

    Except in this case, it's been plainly obvious a number of times that the input into these models was wrong. We didn't even have to wait to see if the models were accurate, it was clear that the input was wrong, so therefore models were too.

    As Lumen says, when you're using these models for economic forecasting, or some architectural woo, then it's OK to have made these mistakes and then come back and "learn". When the models are being used to apply restrictions and to try and get a grip on a live pandemic, then it's not good enough. Every input into the model needs to be validated, every assumption justified and peer-reviewed. If you pluck numbers out of the air or use data that you know to be out of date, then the models are just fancy lines on a screen and nothing more.



  • Registered Users, Registered Users 2 Posts: 5,978 ✭✭✭Russman


    .



  • Registered Users, Registered Users 2 Posts: 2,336 ✭✭✭CruelSummer


    Thanks for the information. Why is recovery left off the Cert in the U.K. I wonder? At least they have antigen for now. If Ireland take away recovery as an option and don’t even allow for testing, we’re lost as a country.

    If all of this is in the name of health, why would you need a vaccine shortly after your immune system has successfully fought off Covid and would now have antibodies and T cell immunity for at least 6-9 months. And possibly much better immunity and antibodies to the Omicron variant which the vaccines can only offer limited protection against.



  • Registered Users, Registered Users 2 Posts: 31,285 ✭✭✭✭Lumen


    OK, but you're essentially proposing to build a better mousetrap.

    I'm not sure it's possible for human behaviour to be accurately forecast, and since viral transmission depends on human behaviour, we can't forecase transmission accurately either.

    For instance, the "anticipation of restrictions" effect, whereby cases tend to start dipping before restrictions come in. Sure, you can explain that after the fact. But is it predictable? Possibly, all things being equal, but they never are, because people's attitudes are constantly shifting and consequently their behaviours.

    It's a fool's errand to present modelling as prediction, and if they're not being used for prediction, what's the craic with using them to justify restrictions?



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  • Registered Users, Registered Users 2 Posts: 14,384 ✭✭✭✭hotmail.com


    With hospital numbers dropping, a push for the reopening of night clubs must be on the agenda.



  • Registered Users, Registered Users 2 Posts: 9,247 ✭✭✭duffman13



    RTE being sound and really getting into the Xmas spirit



  • Registered Users, Registered Users 2 Posts: 9,247 ✭✭✭duffman13


    Well considering you can't get a vaccine/booster within 6 months of having Covid I would imagine the recovery cert will be time sensitive to allow for that going forward



  • Registered Users, Registered Users 2 Posts: 2,336 ✭✭✭CruelSummer


    Ursula is already out mentioning new vaccines in March. Her husband must be so thrilled she is where she is.


    I thought Luke O’Neil and others said that the boosters were the best thing ever, might give longer lasting immunity and were great at generating a ‘huge’ response from the immune system.



  • Registered Users, Registered Users 2 Posts: 14,200 ✭✭✭✭JRant


    One of the major problems I have with how the models are used is that in at least two occasions the CMO has presented the model projections in his letter to government and recommended restrictions based on this information. In the first instance he knew the vaccine program was to be accelerated and in the second he knew that the booster program was to be expanded. Yet in both examples he knowingly presented garbage data to the government and not a single person has called him out on this.

    Personally I think modelling has a place and the more refine it the better it should become. I have a huge problem with the most senior health official in the country peddling out dated data which he knows is outdated. I can't think of a single other organisation where that would be tolerated.

    "Well, yeah, you know, that's just, like, your opinion, man"



  • Registered Users, Registered Users 2 Posts: 68,190 ✭✭✭✭seamus


    @I see sheep wrote:

    But the big difference is that in the UK a negative antigen is acceptable anywhere you need a Covid pass, so in reality it doesn't stop anyone doing anything (self tested antigen)

    I thought that couldn't possibly be true, it's too stupid, but then I looked it up. Yes, you can self-report your own negative antigen test to get a covid pass in the UK. That is the most comical, inept thing I've heard all week. Just when you think the Brits can't make any more of a balls of this, they go ahead and exceed my expectations again.

    ==========

    570 in hospital this morning. The decline in hospital admissions continues. The booster programme making a huge difference.

    Today's number is the lowest since 6th November, but if it drops below 444 this week, then statistically it'll be the lowest since mid-October.

    @Lumen wrote:

    It's a fool's errand to present modelling as prediction, and if they're not being used for prediction, what's the craic with using them to justify restrictions?

    Oh yeah completely. But models can be presented as "the most likely outcome from our current position". Not to mention the war, but we do it all the time with the weather, for example. Which is a system equally as chaotic and unpredictable as human behaviour, but granted it's an older science. And we issue weather warnings and warnings to take action, based on the outcome of those weather models. And often they don't land exactly right, but nowadays they're rarely way off.

    So in that regard I have no issue with modelling looking at the course of the pandemic and presenting a "here's what will probably happen" and using that to consider a very macro response. But like weather models, you run the modelling continuously and react when it's time to react. When a weather model shows you a world-ending snow event 2 weeks out, you say "probably not", but keep an eye on it anyway. If the models, day after day, keep telling you that this snowstorm is coming, then you give it more and more credence, and you react to it at an appropriate time. This is what the NPHET modelling team should be doing. Tracking the course of this thing using up-to-date input and identifying things coming down the line which the models are getting more and more confident about.

    At the moment what we do is the equivalent of using a weather model that tells us there's a big snow storm coming in a month, so it's time for everyone to grit the roads, bang up the heating, put on heavy clothes and sit and wait for it. And stick doggedly to that even as the temperature starts going up.

    Post edited by seamus on


  • Registered Users, Registered Users 2 Posts: 68,190 ✭✭✭✭seamus


    Yep. It's kind of insane. I cannot think of another scenario where someone would present projections to the "board", tell them that the projections do not take into account a couple of huge initiatives that fundamentally alter the outcome of the projections (and are therefore useless), recommend actions based on these useless projections, and then the "board" accepts and enacts these recommendations.

    In effect the CMO wrote a letter saying, "We have no evidence for this, but we think it's going to get worse, so we need to take action". And they did.



  • Registered Users, Registered Users 2 Posts: 9,311 ✭✭✭Backstreet Moyes


    The fact is nphet have recommended restrictions based on models they know are not accurate.

    They are presenting models that don't include the effect of vaccines or boosters because the models wouldn't be as scary.

    The government are then implementing restrictions on models that are predicting scenarios that don't include vaccines.

    Basically nphet are deliberately lying to the government to advise them to introduce restrictions.

    This is in spite of the vaccine uptake and how many have adhered to restrictions and people wonder why people are fed up and not listening anymore.

    I can't understand how anybody can have faith in nphet an organisation that is restricting their life's and jobs based on lies.



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  • Registered Users, Registered Users 2 Posts: 14,200 ✭✭✭✭JRant


    It's such a complex model and problem that really the only way we start getting useful data is when Machine Learning is applied to it. Then it beomes a bit of a Black Box where assumptions will be put in and numbers come out with little understanding of how it got there.

    "Well, yeah, you know, that's just, like, your opinion, man"



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