So if I understand that right, the “per 100,000” figures aren’t for the exact populations, but for what the populations would be if the age groups were re-weighted to keep the age demographics constant?

Some thoughts:

• Florida had a striking increase between 2003 and 2008 that isn’t reflected by California or Texas. Did something specific happen in Florida in that timeframe?

• Texas seems to have been on a long-term downward trend until 2013 (while Florida was spiking). The subsequent upward trend is mirrored by Florida, but not California.

• What does “age-adjusted” mean?

• Does “per 100,000” refer to the entire population, or the population under 25? If the former, could some of the differences be accounted for by changing demographics?

People often use Greek or Latin roots for new terms if they want them to be used internationally, without biasing usage to one language.

This was probably the case for Smuts, who was a committed internationalist and whose native language was Afrikaans rather than English.

I’m not familiar with how the X1C does it, but the printers I’ve used can only tell if the temperature or resistance are outside of normal operating range—not if they differ from the exact values predicted at each point in the print.

The printers themselves should run a simulation like this while they’re printing, and continually check if heat sensors, motor resistance, etc. are deviating from the simulation. That might let them detect potential misprints earlier—or even correct issues mid-print.

The 64-year-old said it was hard to estimate the size of the iceberg at sea but figured it was at least three times the size of a regular bungalow.

What is that in international banana units?

I assume it’s because it reduces the possibility of other processes outside of the linked containers accessing the files (so security and stability).

Yeah—I picked 90 years because that’s about when t-shirts started to be acceptable as outerwear, but the actual garments are older.

Jeans and a plain t-shirt must be the preferred outfit for time travelers—you could fit in during any period in the last 90 years.

Those look like fig leaves, but the pole doesn’t look like it came from a fig tree.

I think it’s a strangler fig, which grows from seeds that are left in the tops of other trees by birds.

CasaOS is not an operating system and more like a GUI for Docker

So it’s more like Portainer?

I’d like to see them take variance (i.e., range of different sentence lengths) into account—my impression is that more-modern writing has a more dynamic mix of long and short sentences, which could skew the stats in an unintuitive way.

Consider two paragraphs that both have a total of 300 words:

• Paragraph A has three 100-word sentences.

• Paragraph B has two 140-word sentences and four 5-word sentences.

Paragraph B has half the average sentence length of paragraph A, but over 90% of the text of B is comprised of sentences that are significantly longer than any of the sentences of A.

Killing flies eventually kills spiders by starvation.

The video is subtitled “Saxo-didge”.

Technically it’s a combination of absolute humidity and temperature. Bathrooms can be prone to mold even if they’re not any more humid than the rest of the house, because metal plumbing can conduct heat out of the room into the ground—causing the room to get cold enough for moisture to condense even if the water fixtures in the room aren’t in use.

Internal server (Home Assistant etc.): domus
External server (Nextcloud etc.): nimbus
Router/firewall: murus

I believe so—see Wake-on-LAN.

I think the reason you’re not seeing that kind of device is that zigbee is designed more for low-bandwidth, sporadic updates rather than continuous streams of live data like you typically expect from a probe thermometer.

Move them together until their arms cross and it’s a new ad for X.

Using ZHA, it has an entity id of sensor.[device name]_pressure. I don’t know how it works with Zigbee2MQTT.