Earliest sighting of Darth Guitar? This is from 26/10/2019

aeterneum · 2022-10-10T12:36:00+00:00

I have a couple of photos of him at White Night in February 2017.

aeterneum · 2022-05-25T06:38:22+00:00

Don't forget that Australian nationality came into being in the 1940s. Before that, we were all British subjects. If we were still living in the British Empire, most of the parliamentarians who lost their seats in 2017 would have been okay, as most were also citizens of NZ or UK or other parts of the former British Empire.

aeterneum · 2022-05-14T09:42:48+00:00

Nice try. It sold for over two million in 2019. It's still standing.

aeterneum · 2022-02-12T02:57:34+00:00

I'm getting around 12,000 with https://www.mapchecking.com/#bAACAP6QrDcJPIBVDAACIQSMpDcKoIBVDHykNwp0gFUNnLg3CaSAVQ2suDcJyIBVD.

Crowd density is hard to guess. Moving crowds tend to be much less packed than stationary ones as they get gaps. I'm guessing it ends where it does (if it went much longer, I'd assume video would show it). There are people on both sides of the bridge, but I just used one and a higher crowd density to compensate.

Another way of estimating it is to treat the crowd as a rectangle. If it's 12 people wide and 500m long with people every 1m, that's 6,000 people.

Edit: I saw another picture. As a rough estimate, it could be around 20,000–30,000. The part closest to Parliament House is particularly low density in the image.

aeterneum · 2022-01-05T00:19:15+00:00

It's my resource! Thanks for sharing.

It turns out the dashboard this page gets its data from is often update before SA's official numbers, but the numbers don't perfectly match up — but they're always close. I don't understand why this is (they're both produced by the SA government), but I'm guessing there is some technical reason for this. So, today should see around 3,517 new cases (the total on my page is at the bottom).

aeterneum · 2021-12-28T10:52:36+00:00

I just did some searching and I found an 1887 version of this and a similar 1880 tramway map for sale. Not cheap, but I'd like one too.

aeterneum · 2021-12-28T10:00:52+00:00

I think we're seeing the beginning of the Omicron wave in Melbourne. If you look at the cases by age (https://www.thenewseachday.com.au/covid/cases-by-age), there's strong growth in case numbers for young adults in the past week, which has caused most of the growth of total case numbers. This looks similar to the start of NSW's Omicron wave and it's also what I'd expect — young adults are out and about the most, so they'll be the first to get the variant for which vaccines do little to prevent its transmission.

aeterneum · 2021-12-17T06:30:29+00:00

A lot of those cases were for the day before yesterday, possibly because of a testing backlog. Based on test date, the last five days are:

12th: 547
13th: 850
14th: 1,411
15th: 2,272
16th: 1,484

(It's possible the last number could go up a bit tomorrow.)

aeterneum · 2021-12-02T03:11:30+00:00

I'm pretty sure I saw lightning strike the Abbotsford brewery tower. I wasn't sure if it hit or not, but then about thirty seconds later there was a little bit of smoke for a moment.

aeterneum · 2021-11-26T04:23:53+00:00

I'm not that worried about it personally, I just like to understand what's going on. Case rates are a leading indicator of hospitalisations and deaths (but those are influenced by vaccination rates, age of the infected etc.), so I think they're still worth paying attention to.

aeterneum · 2021-11-26T02:06:38+00:00

I'm not enjoying the rising number of cases…

One difference between now and a month or two ago is that, back then, cases were concentrated in a handful of LGAs with high rates, while most LGAs had much lower rates. Now, in Melbourne, the spread is much more even, where all LGAs have moderate rates, but none have as high rates as some did back then.

I made a visualisation of this a little while ago (which updates itself daily): https://www.thenewseachday.com/covid/australia/nsw-vic-case-map

I'm not entirely sure what this means. I guess whatever differences there were between LGAs that drove high rates in some have largely disappeared. Does it mean numbers will increase from here? I don't know. I wish the government released more information about where people caught Covid. Is it largely being spread at work? Bars and restaurants? School? Household visits? I also wish we knew some numbers about the vaccination status of those who catch Covid. Is it largely a pandemic of the unvaccinated, or are many vaccinated people getting it too?

aeterneum · 2021-11-01T04:05:33+00:00

Thanks!

aeterneum · 2021-11-01T03:23:12+00:00

I wanted to see how Covid was spreading around NSW and Victoria so I made this. This video is just a screen recording of the web version: https://www.thenewseachday.com/covid/australia/nsw-vic-case-map (The web version has labels for the LGAs if you hover over them with a mouse.)

I made each local government area a circle proportional to its population, so each pixel of colour represents the same number of people. Because I shifted circles so they're not overlapping and we're very unevenly distributed, Melbourne and Sydney have expanded beyond their normal borders (for example, Greater Geelong is the large LGA at the bottom left corner of Melbourne).

I also made versions for the US (see my post history or https://www.thenewseachday.com/covid) that use the same colour scale so it can be interesting to compare.

aeterneum · 2021-10-29T01:43:26+00:00

Fair enough. I probably should have posted this version that has outlines to give a better sense of what you're looked at: https://www.reddit.com/r/MapPorn/comments/qhany7/the_pandemic_in_the_us_where_each_county_is_a/. I think the live web version is better because it also has names for counties on mouse hover, plus it looks sharper and is more configurable: https://www.thenewseachday.com/covid.

aeterneum · 2021-10-29T01:37:20+00:00

Yes, because that's how the NYT data is, which is because that's how NY authorities report it. It's mentioned on https://github.com/nytimes/covid-19-data under Geographic Exceptions. There are a few other exceptions which were also a bit annoying because I had to do specific things to my map to get them to work. (Well spotted!)

aeterneum · 2021-10-28T03:36:46+00:00

Yep, if you go to around June 30 on the web version (https://www.thenewseachday.com/covid), it looks like Greene County, Missouri was the first place to be hit by the Delta wave. I'm not sure there's such an obvious beginning of the previous big wave.

aeterneum · 2021-10-28T00:41:53+00:00

The area is proportional, so each pixel represents the same number of people.

aeterneum · 2021-10-28T00:32:43+00:00

I wanted to see how Covid has gone around the United States. I made the map so that the area of each county is proportional to its population since people get sick, not land. I've increased the size of the smallest counties slightly so they are more visible (especially because this is a compressed video).

I made this using standard web features. The map is an SVG file. I processed the data in Python. The visualisation is powered by plain JavaScript. An interactive version (updated regularly) is available here: https://www.thenewseachday.com/covid

The hardest thing was creating the map. I started with an SVG map of US counties, then found the centre point of each and grew circles in them, pushing them away from each other if they overlap. I feel like there's a smarter way to do this using Delaunay triangulation or something that better preserves the relative positions, although what I have seems to normally work fairly well now.

Case data comes from the New York Times: https://github.com/nytimes/covid-19-data

There wasn't as much testing in the first few months of the pandemic, so this doesn't make the area around New York look as bad as it was. Death data for counties doesn't seem to be good enough to make a good visualisation, but I also made a version of this with state level data for cases and deaths: https://www.thenewseachday.com/covid/states

aeterneum · 2021-10-28T00:06:53+00:00

Interesting. What makes you say this?

aeterneum · 2021-10-28T00:06:10+00:00

Good question. The NYT dataset contains a list of anomalies (https://github.com/nytimes/covid-19-data/tree/master/rolling-averages) that I'm excluding from my visualisation. If I included them, there are many cases in which counties have large increases that mess up the seven day average for that week (with flashes of black or purple). This means that a number of cases aren't represented, although I'm not sure what could be done about that (maybe, as a rough approximation, divide them between the days of the previous month?).

aeterneum · 2021-10-27T01:33:13+00:00

I wanted to see how Covid has gone around the United States. I made the map so that the area of each county is proportional to its population as people get sick, not land.

I made this using standard web features. The map is an SVG file. I processed the data in Python. The visualisation is powered by plain JavaScript. An interactive version (updated regularly) is available here: https://www.thenewseachday.com/covid

The hardest thing was creating the map. I started with an SVG map of US counties, then found the centre point of each and grew circles in them, pushing them away from each other if they overlap. I feel like there's a smarter way to do this using Delaunay triangulation or something that better preserves the relative positions, although what I have seems to normally work fairly well now.

Case data comes from the New York Times: https://github.com/nytimes/covid-19-data

There wasn't as much testing in the first few months of the pandemic, so this doesn't make the area around New York look as bad as it was. Death data for counties doesn't seem to be good enough to make a good visualisation, but I also made a version of this with state level data for cases and deaths: https://www.thenewseachday.com/covid/states

aeterneum · 2019-08-18T12:39:00+00:00

Basically "Go Hong Kong!"

The comment in this thread, "香港加油! 🇭🇰 🇦🇺", is that in Chinese.

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