In my view, nation states are largely the product of the whims of history. Nobody could look at a map of Europe in 1 CE and predict where all the borders will run in 2025 CE. In other timelines, Austria is part of Germany because the Habsburg never became as dominant.
You are correct that technically, the smaller the sovereign state, the more voters can affect their own affairs. If you are living alone on a sovereign island, your vote really counts! However, there are tradeoffs to consider. Coordination is difficult, and larger states often have a smaller overhead fraction, because maintaining a criminal code for 100M citizens is about as much work as maintaining it for 20M citizens.
And of course you can have layered federalism. If you are a citizen living in Frankfurt, you get to vote in municipal elections, state-wide elections, German federal elections and European elections. On each level, your vote is diluted more, and people from further away who speak strange dialects or weird languages have an influence in the matter, just like you have some influence in their matters. However, few people argue that Hesse or Frankfurt should secede from Germany.
I agree that the EU has a deficit of democracy, in that the rules are made by the governments of member states for the most part, and there is no direct democratic influence. But this is the doing of the nationalist faction. I also agree that some policy proposals put forward by the EU are horrible.
At the risk of being some 40 years late with my critique, that quotation has some problems.
First, if the relationship between two quantities A and B is linear in a semi-logarithmic plot, that generally indicates that the relationship between A and B is nonlinear, very boring edge cases aside! “I have one model which explains my data well and another which explains my data ‘nearly perfectly’” seems a bit of a strange message.
Also, arguing from models of infection, it is almost certainly wrong. The simplest toy model I can think of is “per DHE, every uninfected, susceptible person has a fixed probability of getting infected”, which would lead to an exponential decline of healthy individuals as DHE increase. But if that was the case, the curve should be bent linear if plotted with logY (when counting survivors), not logX. (I think the direction of curvature would be the same—highest infection risk per DHE at low DHEs, then a slow decrease.)
To explain why the distribution would look like observed would require a more complex model. For example: “Every uninfected person has a fixed personal exposure threshold when they become infected. It ranges from 45 DHE to 600 DHE and is exponentially distributed (favoring smaller thresholds) over the population in that range.”
If this was true, that would be highly surprising. Unlike with the killbots in Futurama, there is no good reason why your immune system should have a preset kill limit for RV16. If it is a case of “the immune system can fight of low doses but eventually gets overwhelmed”, then I am surprised that it would get equally overwhelmed by a low dose over a long period and a high dose over a short period.
I am also amazed that a study based on infecting people with cold viruses was run with so great a sample size that I can not spot the error bars with my bare eyes. Whom did they have on their IRB?Realistically, error bars are important. If you 100 percent are five out of five, that is very different from your 100% being 1000 of 1000.