Impf_Info – Following Feed 89 Posts (gefiltert)

The failiure to distinguish between Islamists & muslims, in the sense that's described here, is ultimately an extremist bedrock. Doesn't matter which side of the political spectrum. https://x.com/afalkhatib/status/2032900099005702320?s=20

Little Ali was killed & traffic took a hit👏 Still high though. https://x.com/OS513_Ghost/status/2032567227824714049?s=20

Getting this. Seems reasonable? 🤔 https://x.com/OS51388957/status/2032505323546681438?s=20

Gettimg this. Seems reasonable? 🤔 https://x.com/OS51388957/status/2032505323546681438?s=20

Again- It will not be possible to permanently defeat these terrorist groups while unilaterally following IHL, LOAC & common decency. Israel surgically exploded 3k Hezbollarsholes, but the deterrent is al-Sharaa's barbarians. Not Israeli precise munitions. https://x.com/afalkhatib/status/2032255925898056030?s=20

R to @OS51388957: 2/2 The totals, broken down and heat-mapped. Make no mistake, most of these posts are absolutely vile, hate inducing, coded incitement poison, that have had significant impact on the real world. Previous update. https://x.com/OS51388957/status/2017959872663302364?s=20

🚨UPDATE February2026 X view counts for specifically antisemitic/ anti-zionist posts, published by a sample of 35 accounts. Over half a billion views. Just like during the 12 day war, there's a huge uptick in traffic. I anticipate several billions of impressions next month. 1/2

Sorted the colours on the Life Expectancy map and enabled zoom. Here it is for LE (at 65) loss in months in 2020. You can hover for details. https://os513ghost.github.io/Mortality-Explorer/LE.html

To be both esoteric & an outcast. Can't go around rejecting devotion to dogmas & false narratives & expect no consequences. At least I'm aware enough to see that these two are interchangeable.

R to @OS51388957: ...decline gets a bit smaller each year, curving slightly, instead of racing to zero w/ a linear trend if it makes sense to explain it like that.🤔Example is a bit extreme, but you get the picture. *Also, I always remind people that I am a layman (largely). No expert here. 4/

R to @OS51388957: ...tests (BIC) whichever baseline is more "appropriate" for the current selections (slices of country-training window-age) & resolves into one of the three methods (trend/ log-lin/mean). Mean is selected about 13% for the slices predominantly for 2015-19 baselines in the... 2/

R to @OS51388957: ...15-44s that can be rendered w/o returning crazy results. The rest split between log-linear (49%) and trend (30%). So you're basically looking at log-linear more often.😅 It just means that the mortality drops by the same percentage each year so the actual... 3/

Modifications of weekly view baselines🤓 👉I suppressed altogether some of the baselines on the 15-44 smaller countries (noisy-unusable). 👉The mean and log linear selections will always show the mean and log linear baseline, but the trend button... 1/ https://x.com/OS51388957/status/2029544358475608323?s=20

Norway & Denmark's Endocrine, nutritional & metabolic diseases on the high since 2020.

So now the if you want to look at the causes of Norway's excess, you can easily do it instantly. https://x.com/OS51388957/status/2029868022383452627?s=20

x.com/OS51388957/status/2029…

I've now added a "Separate" view on the CoD page that allows to see multiple causes separately (VS the "Summed" view that sums causes you select. Also sorted colours and added a save as png & "None" buttons to de-select stuff (save you some clicks)👇👍 https://x.com/OS51388957/status/2029544358475608323?s=20

R to @OS51388957: Most causes are higher in 🟠United States 15-44 (left) & 45-64 (right). Explore yourself: https://os513ghost.github.io/Mortality-Explorer/causes.html 2/2

Take a look at 🔵United States VS Germany / Denmark rates for 65+ on the left and for all ages on the right. Even during the pandemic (&NPIs) years & since, they're similar among the elderly, but higher among the young and young adults. 1/2

Pinned: 🚨These free interactive tools now offer a variety of age standardised mortality observations by age, sex and cause, including weekly, annual & seasonal views, for over 30 countries & Life expectancy deltas for 250 sub-national regions. https://os513ghost.github.io/Mortality-Explorer/index.html

Now added the Sub-National LE explorer, Showing Eurostat LE values (upon hover) & delta (range) in months, from a selected trend. Select observed year 2013-24, baseline, age (At birth, 65, 80) and sex. https://os513ghost.github.io/Mortality-Explorer/LE.html https://x.com/OS51388957/status/2029182736762618097?s=20

The causes of death section is done. ESP13 5y bins, mid-year/avg pops. Baselines given, but this is not for signal detection. More like general attribution/ performance comparison. Select age group, any number of countries & causes. https://os513ghost.github.io/Mortality-Explorer/causes.html https://x.com/OS51388957/status/2029182736762618097?s=20

I've added @HMDatabase countries, exc/ E&W & Scotland, (->by registration date->no good). So Australia🇦🇺, Canada🇨🇦, Chile🇨🇱, Taiwan🇹🇼, South Korea🇰🇷 & United States🇺🇸. ASMR 65+ & all ages: mid-year static pops. Israel🇮🇱 already added using CBS data. https://x.com/OS51388957/status/2029182736762618097?s=20

Small accounts be like https://x.com/OS51388957/status/2023663698020118870?s=20

Added New Zealand🇳🇿 here. Note wider groups from @HMDatabase, so only all ages and 65+ observations possible. Also note the seasonal inversion in the southern hemisphere, here against Sweden. https://x.com/OS51388957/status/2029182736762618097?s=20

🚨New interactive Tool. Select age group (all ages, 65+, 45-64, 15-44) & any number of countries to compare ASMR/100k on weekly, annual or seasonal views (W26-W25). Overlay baseline (trend/mean/log-linear) & CIs. ESP13 weekly interpolated populations. https://os513ghost.github.io/Mortality-Explorer/

Denmark🇩🇰 Solid performance by any judgment.

Age-Standardised Excess ranges per 100k. VS 2012-19 trend (France 2013-19). https://x.com/OS51388957/status/2028777418391965902?s=20

Scandinavia🇳🇴🇩🇰🇸🇪🇫🇮 Age-Standardised excess ranges for individual years and for 2020-24 total. ESP13 5y bins (90+), weekly interpolated populations, cASMR for all weeks in year (adjusted for 52 week period).

R to @OS51388957: Interactive ASMR/Excess explorer. Select age group & any number of countries & baselines to view weekly, annual or seasonal observations. Leading to further interactives- Causes of death tool, Sub-National excess map tool and more. https://x.com/OS51388957/status/2028519441680544105?s=20 /7

Switzerland🇨🇭 Unique to about 5 seasons, that 2020/21 season. Back in shape for a while now. Nothing to report of late.

Clearer seasonal sums for Poland🇵🇱 https://x.com/OS51388957/status/2028193887496335604?s=20

Clearer seasonal sums for Germany🇩🇪 https://x.com/OS51388957/status/2028233590660837419?s=20

R to @OS51388957: I'll try and make the seasonal sums on these charts a bit clearer. Now little blue dots on the right axis. Historical low here for BG🇧🇬

Bulgaria's🇧🇬 2 and half season deficits are unique and insane.

R to @OS51388957: All data sources for the tool. https://ec.europa.eu/eurostat/databrowser/view/demo_r_mwk_05/default/table?lang=en https://ec.europa.eu/eurostat/databrowser/view/demo_r_mwk_10/default/table?lang=en https://ec.europa.eu/eurostat/databrowser/view/demo_pjan/default/table?lang=en https://ec.europa.eu/eurostat/cache/metadata/en/demomwk_esms.htm https://www.cbs.gov.il/he/cbsnewbrand/Pages/default.aspx 3/3

R to @OS51388957: The baselines there all have 2015-19 average form and the trend adjustments are done with weeks 15-26 and 36-45 of each year in your selected range. Similar to Euromomo, but you can select how many (off) seasons are included. 2/3

A nice thing here is that you can hover on any point in any view and see the excess range per 100k for multiple selected baseline trend adjustments. Another advantage is that it's done with weekly interpolated populations and 5y bins to 90+. https://x.com/OS51388957/status/2028196337183809762?s=20 1/3

Croatia🇭🇷 back on track from 2022 after a rough 2 seasons, which extended down to the 45-64 group. Nothing to report of late.

France🇫🇷 confirming again that despite visual impression, prolonged excess is far more significant than isolated spikes with deficits preceding and following (65+).