Aurel Wünsch

@aurel.indoorco2map.com

Hier privat zu Energie | Emissionen | Covid | Arbeitet bei der Prognos AG | In my free time I work on http://indoorco2map.com. There is also a discord server for it: https://discord.gg/9FqE7wna4D ), also on Instagram: https://www.instagram.com/indoorco2map

Aaagh WTAF?!? 😱 I knew IPC's delusions of adequacy were bad, but...they hand-waved "evaporates to droplet nuclei that remain airborne indefinitely" into "evaporates, so that means it magically disappears and it can't be airborne" How is medical leadership so full of people who can't 🤬 THINK?!?

Studies by ventilation engineers
These studies fall into another category of research but it is always worthwhile to link expertise in different fields together. There is evidence that most of the droplets produced by a patient will evaporate totally. Xie et al. reviewed the literature and estimated that ∼1% of particles from the mouth were larger than 100 μm.20 They plotted an evaporation curve and showed that a particle of such a size would be fully evaporated in 1.5 s.21 Thus, unless the host was intimately close, cross-infections might not be that easy by air, suggesting again that airborne transmission may not be a frequent occurrence.

We ended up with 171 Measurements yesterday - mostly in stores. Without going into details, I think one important things these measurements do is to provide context into how bad Ventilation is in schools. Fast-Fashion-Stores having 5-10x lower share of exhaled air than schools is a societal failure

Chart titled "Distribution of CO2-Levels measured on October 10th 2026". Stacked bars with the share of visits in 3 CO₂ categories (GO IAQS: Good up to 800 ppm CO₂, Moderate 801–1,400, Unhealthy above 1,400). Gift: 0% Good, 50% Moderate, 50% Unhealthy; Department stores: 64% Good, 27% Moderate, 9% Unhealthy; Clothes shops: 92% Good, 4% Moderate, 4% Unhealthy; Supermarkets: 41% Good, 56% Moderate, 3% Unhealthy; Cinemas: 25% Good, 75% Moderate, 0% Unhealthy; Variety store: 33% Good, 67% Moderate, 0% Unhealthy; Interior decoration: 50% Good, 50% Moderate, 0% Unhealthy; Shoe shops: 67% Good, 33% Moderate, 0% Unhealthy; Shopping centres: 71% Good, 29% Moderate, 0% Unhealthy; Bookshops: 80% Good, 20% Moderate, 0% Unhealthy; Fast food: 80% Good, 20% Moderate, 0% Unhealthy; Drugstores: 92% Good, 8% Moderate, 0% Unhealthy; Sports: 100% Good, 0% Moderate, 0% Unhealthy; Electronics stores: 100% Good, 0% Moderate, 0% Unhealthy; Station: 100% Good, 0% Moderate, 0% Unhealthy. Source: IndoorCO₂Map open data.
Two charts of daily mean CO2 levels in classrooms over a school year.

Top (Austria, ImpAQS final report): line chart from autumn 2023 to summer 2024 comparing naturally and mechanically ventilated classrooms. Naturally ventilated classrooms rise from about 650 ppm CO2 in September to between 1,300 and 1,750 ppm in autumn and winter, and only fall back below 1,000 ppm in late spring. Mechanically ventilated classrooms stay close to 1,000 ppm in autumn and winter and around 800 ppm in spring. Dashed lines mark the 1,000 ppm compliance threshold and the 800 ppm target.

Bottom (United Kingdom, SAMHE): daily mean classroom CO2 from September to June, with a shaded interquartile range and background colours for cold, intermediate and warm weather. The mean climbs from about 900 ppm in September to around 1,250 ppm in the cold months and drops to about 800 ppm by late June. A red dashed line marks the 1,500 ppm guideline from BB101. Highlighted text says that in cooler periods over 25% of monitors measured above this daily threshold.
Aurel Wünsch@aurel.indoorco2map.com · 2w ago

a reminder for those who want to participate in our community measurement day tomorrow ;). As usual I am bad with deadlines in this side project so the new website and the report aren't ready yet in the quality I want. - but I'll put a few previews in the thread.

a reminder for those who want to participate in our community measurement day tomorrow ;). As usual I am bad with deadlines in this side project so the new website and the report aren't ready yet in the quality I want. - but I'll put a few previews in the thread.

Image titled "Saturday - October 10.
Community Measurement Day
Autumn Edition". Why and How explained on the next images Photo: Photo with tile text: Saturday - October 10th. The Photo shows a CO2-Monitor on a ledge in the Main Station of Leipzig with a value of 569ppm.
Aurel Wünsch@aurel.indoorco2map.com · 3w ago

It’s been quite a while since I posted about indoorco2map.com here, but I’ve not been sleeping. 1) new website properly explaining the project will be put online on october 9th 2) a report going in depth into the data collected so far will also be released on the same day (one chart as teaser here)

Chart titled "The worst tenth of visits: over 2,500 ppm in pubs and bars". Horizontal box plots of indoor CO₂ for 19 types of places, from IndoorCO2Map open data (export of 23 September 2026, all countries, place types with at least 60 measured places). Each box shows the middle half of visits, a line marks the median, whiskers run from the 10th to the 90th percentile and a dot marks the 95th percentile. Percentiles are location-weighted: every place counts the same, however often it was measured. Dashed lines mark 1,200 and 2,000 ppm.

90th percentile (one visit in ten is higher), from highest to lowest: pubs 2,720 ppm, bars 2,551, places of worship 1,643, schools 1,571, theatres 1,533, doctors' practices 1,513, restaurants 1,399, supermarkets 1,394, cafés 1,382, cinemas 1,378, hotels 1,234, bakeries 1,177, hospitals 1,159, museums 1,109, drugstores 1,099, clothes shops 1,011, shopping centres 967, fast food 918, DIY stores 723. The six types from pubs to doctors' practices are shown in red because their 90th percentile is 1,500 ppm or more.

Pubs and bars have by far the longest tails: their boxes reach about 1,500 to 1,600 ppm and their 95th percentiles lie near 3,900 and 3,600 ppm. The other boxes lie roughly between 550 and 1,250 ppm.

Notes next to the chart: in pubs and bars the worst tenth of visits is above 2,700 and 2,550 ppm, the worst twentieth above 3,600. In doctors' practices one visit in ten is above 1,500 ppm, one in twenty above 1,800. School measurements are probably biased: they are mostly taken by teachers who control the windows and are more aware of air quality than the average teacher.

So I never used Instagram before, but I guess advocating for clean indoor air in a larger pond than here is enough of a reason to start doing it. I'll of course keep posting here, some posts might identical, some more technical just here, some basics only there. www.instagram.com/p/DeCuRYNjam...

Overview of the images posted on instagram (where ALT-text for each is available).
Aurel Wünsch@aurel.indoorco2map.com · 3w ago

It’s been quite a while since I posted about indoorco2map.com here, but I’ve not been sleeping. 1) new website properly explaining the project will be put online on october 9th 2) a report going in depth into the data collected so far will also be released on the same day (one chart as teaser here)

Chart titled "The worst tenth of visits: over 2,500 ppm in pubs and bars". Horizontal box plots of indoor CO₂ for 19 types of places, from IndoorCO2Map open data (export of 23 September 2026, all countries, place types with at least 60 measured places). Each box shows the middle half of visits, a line marks the median, whiskers run from the 10th to the 90th percentile and a dot marks the 95th percentile. Percentiles are location-weighted: every place counts the same, however often it was measured. Dashed lines mark 1,200 and 2,000 ppm.

90th percentile (one visit in ten is higher), from highest to lowest: pubs 2,720 ppm, bars 2,551, places of worship 1,643, schools 1,571, theatres 1,533, doctors' practices 1,513, restaurants 1,399, supermarkets 1,394, cafés 1,382, cinemas 1,378, hotels 1,234, bakeries 1,177, hospitals 1,159, museums 1,109, drugstores 1,099, clothes shops 1,011, shopping centres 967, fast food 918, DIY stores 723. The six types from pubs to doctors' practices are shown in red because their 90th percentile is 1,500 ppm or more.

Pubs and bars have by far the longest tails: their boxes reach about 1,500 to 1,600 ppm and their 95th percentiles lie near 3,900 and 3,600 ppm. The other boxes lie roughly between 550 and 1,250 ppm.

Notes next to the chart: in pubs and bars the worst tenth of visits is above 2,700 and 2,550 ppm, the worst twentieth above 3,600. In doctors' practices one visit in ten is above 1,500 ppm, one in twenty above 1,800. School measurements are probably biased: they are mostly taken by teachers who control the windows and are more aware of air quality than the average teacher.

So I never used Instagram before, but I guess advocating for clean indoor air in a larger pond than here is enough of a reason to start doing it. I'll of course keep posting here, some posts might identical, some more technical just here, some basics only there. www.instagram.com/p/DeCuRYNjam...

Overview of the images posted on instagram (where ALT-text for each is available).
Aurel Wünsch@aurel.indoorco2map.com · 3w ago

It’s been quite a while since I posted about indoorco2map.com here, but I’ve not been sleeping. 1) new website properly explaining the project will be put online on october 9th 2) a report going in depth into the data collected so far will also be released on the same day (one chart as teaser here)

Chart titled "The worst tenth of visits: over 2,500 ppm in pubs and bars". Horizontal box plots of indoor CO₂ for 19 types of places, from IndoorCO2Map open data (export of 23 September 2026, all countries, place types with at least 60 measured places). Each box shows the middle half of visits, a line marks the median, whiskers run from the 10th to the 90th percentile and a dot marks the 95th percentile. Percentiles are location-weighted: every place counts the same, however often it was measured. Dashed lines mark 1,200 and 2,000 ppm.

90th percentile (one visit in ten is higher), from highest to lowest: pubs 2,720 ppm, bars 2,551, places of worship 1,643, schools 1,571, theatres 1,533, doctors' practices 1,513, restaurants 1,399, supermarkets 1,394, cafés 1,382, cinemas 1,378, hotels 1,234, bakeries 1,177, hospitals 1,159, museums 1,109, drugstores 1,099, clothes shops 1,011, shopping centres 967, fast food 918, DIY stores 723. The six types from pubs to doctors' practices are shown in red because their 90th percentile is 1,500 ppm or more.

Pubs and bars have by far the longest tails: their boxes reach about 1,500 to 1,600 ppm and their 95th percentiles lie near 3,900 and 3,600 ppm. The other boxes lie roughly between 550 and 1,250 ppm.

Notes next to the chart: in pubs and bars the worst tenth of visits is above 2,700 and 2,550 ppm, the worst twentieth above 3,600. In doctors' practices one visit in ten is above 1,500 ppm, one in twenty above 1,800. School measurements are probably biased: they are mostly taken by teachers who control the windows and are more aware of air quality than the average teacher.

It’s been quite a while since I posted about indoorco2map.com here, but I’ve not been sleeping. 1) new website properly explaining the project will be put online on october 9th 2) a report going in depth into the data collected so far will also be released on the same day (one chart as teaser here)

Chart titled "The worst tenth of visits: over 2,500 ppm in pubs and bars". Horizontal box plots of indoor CO₂ for 19 types of places, from IndoorCO2Map open data (export of 23 September 2026, all countries, place types with at least 60 measured places). Each box shows the middle half of visits, a line marks the median, whiskers run from the 10th to the 90th percentile and a dot marks the 95th percentile. Percentiles are location-weighted: every place counts the same, however often it was measured. Dashed lines mark 1,200 and 2,000 ppm.

90th percentile (one visit in ten is higher), from highest to lowest: pubs 2,720 ppm, bars 2,551, places of worship 1,643, schools 1,571, theatres 1,533, doctors' practices 1,513, restaurants 1,399, supermarkets 1,394, cafés 1,382, cinemas 1,378, hotels 1,234, bakeries 1,177, hospitals 1,159, museums 1,109, drugstores 1,099, clothes shops 1,011, shopping centres 967, fast food 918, DIY stores 723. The six types from pubs to doctors' practices are shown in red because their 90th percentile is 1,500 ppm or more.

Pubs and bars have by far the longest tails: their boxes reach about 1,500 to 1,600 ppm and their 95th percentiles lie near 3,900 and 3,600 ppm. The other boxes lie roughly between 550 and 1,250 ppm.

Notes next to the chart: in pubs and bars the worst tenth of visits is above 2,700 and 2,550 ppm, the worst twentieth above 3,600. In doctors' practices one visit in ten is above 1,500 ppm, one in twenty above 1,800. School measurements are probably biased: they are mostly taken by teachers who control the windows and are more aware of air quality than the average teacher.

www.gva.be/binnenland/m... I'm not an expert in Belgian politics, but from the looks of it, they recognized their existant heat resilicence plans are insufficient and are in the process of creating a new one, targetted to be ready in May 2027. I doubt we will have anything ready in Germany by then.

gva.be

Matthias Deutsch@matthiasdeutsch.bsky.social · last mo.

🔥The summer of 2026: Heat-related deaths per 100,000 inhabitants in Europe by early September Leading: 🇧🇪 🇩🇪 datawrapper.dwcdn.net/LN43D/1/ Absolute numbers 👇

Wer an Frauenrechten interessiert ist, kann psychosomatische Deutungen wie "sekundärer Krankheitsgewinn" nur ablehnen. Das ist auch, was mit Medical Gaslighting ist potenziell feminizidal gemeint ist: wegen MG unterlassene medizinische Versorgung trägt strukturell zu erhöhtem Sterben von Frauen bei

Nina Weber@ninaweber.bsky.social · last mo.

Die Pflegende sagte: "Mir wurde mehrmals von Ärzten unterstellt, ich würde sie so gut versorgen, da sei es kein Wunder, dass sie nicht aufsteht. Keine 20-Jährige will, dass man sie mit kalter Suppe füttert oder sie wickelt." Die erkrankte Frau ist wenige Wochen nach unserem Gespräch gestorben.

I don't think I agree with The Left on much, but they are no threat to the democratic norms of the country -- as indeed the very institutions of said democracy have concluded. Merz' body is in 2026, his mind still lives in the 1990s. He can't help himself.

I am determined to prove that you can be largely anti-AI but also not be an asshole. The attitudes of some people on this site will NOT win over any minds or win you over any favours. If you insult someone, you are doing it to a real person. And it sucks!

Our statement in response to The Telegraph article: 'How having a disability became cool' Young women, named 'sickfluencers', are turning chronic illness into a lifestyle trend & entrenching a culture of economic inactivity.' by Poppy Coburn, featuring Suzanne O'Sullivan. #longcovid #pwME #POTS

It is disheartening & predictable to see Suzanne O’Sullivan once again given a platform to promote psychosomatic explanations for chronic illness — this time in a Telegraph article attacking disabled people as influenced by social media, identity and attention.

There is a fundamental problem with this framework: it creates a self-reinforcing evidential trap. If patients accept a psychosomatic explanation, it confirms the theory.

If they reject it, their distress is interpreted as evidence that they are psychologically invested in being ill.

If they seek support from other patients, that's “social reinforcement”.

I am sharing, with immense pride, that as of today I’m Canadian! From day 1 when I immigrated here I’ve been embraced with the incredible warmth and kindness that I soon associated with my new home. And for that I’m grateful.

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