This evidence doesn't exist. They have zero evidence to support the 10pm curfew. Their only line is that we become more lose around social distancing after a drink. But I can't remember the last time I went to a restaurant, had a few drinks, and decided to randomly start approaching tables that I didn't know .........
I can't remember ever going cuckoo as the clock struck 10pm and starting running round kissing and hugging random people.
In England & Wales, Track and trace isn't tracking where *you* caught COVID, it is designed to track where you potentially infected others - which is why it only traces the previous 48 hours of activity before symptoms show (infection is around 5-7 days before symptoms). Other countries with much better functioning systems (South Korea) have shown significant numbers infected through bars - including at least one "superspreader" incident where one person infected hundreds after a night out in Seoul. Unfortunately, alcohol does lower inhibitions which leads to a lower adherence to social distancing. That doesn't mean that you as individuals suddenly start approaching tables you don't know, but some people will. From what I've seen of the pubs in Hoyland Common, Wath and Rawmarsh, the outside tables are too close together without adequate social distancing when the pubs are full.
That was a potential scenario if no measures were taken. Measures have been taken. I guess you could say they were right and have an immediate impact
You tend to always argue against the data, which is great because it gives another perspective and insight in to this whole mess, but just because it tracks differently doesn't automatically make the numbers in hospitality increase. They could just as easily decrease. They could just as easily be the same. There are almost 150,000 licensed premises in the UK. Your sample size of three towns isn't a fair reflection. And those tables are further apart than people are getting in supermarkets and socialising in their own homes. They're also safer places than care homes and halls of residence. Where is the focus there? We've sent some iPads to care homes. That'll fix it. The Korea example was in a night club. No social distancing inside, but all the checks on entry. It wasn't just someone going for a meal with four of their friends.
You could also argue that they deliberately released inflated figures to scare the public and ,as those figures were massively inflated, they will claim the measures they took worked when they have figures much lower than the imaginary figures they released and say they (the government) are a success and world beating
Stupid comment. Nobody ever said the doubling would continue to Christmas. The point was that they had observed a doubling in cases reported over 7 days. It makes sense that it increases exponentially, up until a point when it would start to come back down. To suggest otherwise is just ridiculous. And to straw man something that was never said to try and make the numbers out to be ridiculous is also stupid. The graph was purely showing what would happen if it continued at the same rate. I’m not saying the 10pm curfew helped - clearly it didn’t. It’s a silly rule. Either open the pubs or close them. I think part of what helped is raising awareness that this is ramping up again. People got a bit lax I feel because numbers were low. It also helps that there’s not enough testing available, so by definition there are going to be positive cases that are not reported. These ‘stats’ of where people caught the virus also make me laugh. Considering it’s impossible to know where you caught it unless you and your household have only been to a single place and had contact with nobody else for a 2+ week period before testing positive.
Not sure calling someone's post stupid, repeatedly, is the best counter argument. Also not sure there's anything to laugh about with the stats, and you can challenge them, but everything in life is mapped out, forecasted, and predicted - there's likely as much merit in the stats on cases as there is in the scenario of cases doubling every day until the end of October. You just align more positively with one set of data over the other.
but there was no end date on the graph. there was no point where it came back down, they didn't show that and didn't say that.
that graph was put there for one reason. Because the media would be over it like a dog on heat. Fear sells. Its one of the most addictive things in the world.
The cases doubling is a prediction based on data already collected. I’m not saying it was right, but it wasn’t presented as fact, it was presented as a prediction based on current growth. Location that covid was caught is based on literally nothing, as far as I understand. I don’t believe they’re collecting the data necessary to collate that data, so not sure how that can be mapped.
I’m sorry, but this isn’t true - that’s the whole point. Not once, at any point since we started measuring, have the cases been double or more what they were 7 days prior to that. It has literally never happened. Which makes it all the more outrageous and clearly fraudulent to then onwards project it. No matter what you say, that presentation last Monday will cost British people their lives and livelihoods. I hope they can live with that - actually, no I don’t, I hope they live with the bitter regret of what they’ve done.
Did there need to be an end date? The graph wasn’t showing the next few months, it was just showing what could happen if it continued at the existing growth rate. It’s obvious it’s not going to last until Christmas at that rate, they shouldn’t have to say that.
Which existing growth rate? They didn't calculate it on existing growth rates. And I never said it was presented as fact, it was just a potential scenario, but it made very little sense and has still yet to be explained properly. Good headline though. But yes, let's challenge the validity of Public Health England data instead.
That's exactly what they have to say. if its obvious it isn't going last until Christmas how obvious is it going to last until? you are making assumptions based on there own assumptions.
The figures were lower last Monday than they were the day before as well. You can't draw any conclusions from Sunday and Monday figures as they represent the weekend.