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Dane 🇮🇪🇺🇦🇻🇪🖖⚛️☮️☸️🕉️ boosted
🏳️‍⚧️ Christin Löhner 🏳️‍🌈
🏳️‍⚧️ Christin Löhner 🏳️‍🌈
@christin@lsbt.me  ·  activity timestamp 2 hours ago

#Hallo Ihr Lieben auf https://lsbt.me ,

Unsere #Instanz wächst und wächst. Gerade hatten wir unser 3-jähriges Jubiläum. Wir haben aktuell 259 trötende #Rüssel hier auf unserer Instanz und das bedeutet, dass unsere Instanz mit eine der erfolgreichen Instanzen im #deutsch sprachigen Raum geworden ist.

Das bedeutet aber auch, dass der Instanz #Server einiges zu leisten hat. Er muss performant bleiben und er muss groß genug sein, um die ganzen #Tröts mit ihren #Medien wie #Bilder und #Videos zu speichern. Auch der #Backup-Server muss entsprechend dimensioniert sein. Das alles kostet viel #Geld im #Monat, das ich vollständig aus der eigenen #Tasche bezahle.

Wenn es Dir hier bei uns also gefällt und Du nicht möchtest, dass diese Instanz irgendwann in der Versenkung verschwindet, wie so viele andere kleine und große Instanzen auch, dann denke doch einmal drüber nach, ob Du mich dabei nicht ein kleines bisschen #unterstützen möchtest.

Spenden kannst du entweder per #Bitcoin, Paypal oder Banküberweisung. Alle Informationen dazu findest du unter #Spendenmöglichkeiten auf der "About" Seite dieser Instanz ganz unten: https://lsbt.me/about#spenden
Am meisten freue ich mich natürlich, wenn Du die Möglichkeit der regelmäßigen #Spende per #PayPal oder #Dauerauftrag nutzen würdest.

Vielen Dank und weiterhin ganz viel Spaß bei uns, wünscht Dir Eure #Admina
Christin

#mastodon #fediverse #stats #statistics #lsbt #lgbt #trans #gay #schwul #lesbian #lesbisch #homo #transsexualität #transsexuell #transgeschlecht #transgeschlechtlich #safeplace #adminpost

https://lsbt.me/tags/transsexualit%C3%A4t
https://lsbt.me/tags/Spendenm%C3%B6glichkeiten
https://lsbt.me/tags/unterst%C3%BCtzen
https://lsbt.me/tags/Tr%C3%B6ts
https://lsbt.me/tags/R%C3%BCssel
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🏳️‍⚧️ Christin Löhner 🏳️‍🌈
🏳️‍⚧️ Christin Löhner 🏳️‍🌈
@christin@lsbt.me  ·  activity timestamp 2 hours ago

#Hallo Ihr Lieben auf https://lsbt.me ,

Unsere #Instanz wächst und wächst. Gerade hatten wir unser 3-jähriges Jubiläum. Wir haben aktuell 259 trötende #Rüssel hier auf unserer Instanz und das bedeutet, dass unsere Instanz mit eine der erfolgreichen Instanzen im #deutsch sprachigen Raum geworden ist.

Das bedeutet aber auch, dass der Instanz #Server einiges zu leisten hat. Er muss performant bleiben und er muss groß genug sein, um die ganzen #Tröts mit ihren #Medien wie #Bilder und #Videos zu speichern. Auch der #Backup-Server muss entsprechend dimensioniert sein. Das alles kostet viel #Geld im #Monat, das ich vollständig aus der eigenen #Tasche bezahle.

Wenn es Dir hier bei uns also gefällt und Du nicht möchtest, dass diese Instanz irgendwann in der Versenkung verschwindet, wie so viele andere kleine und große Instanzen auch, dann denke doch einmal drüber nach, ob Du mich dabei nicht ein kleines bisschen #unterstützen möchtest.

Spenden kannst du entweder per #Bitcoin, Paypal oder Banküberweisung. Alle Informationen dazu findest du unter #Spendenmöglichkeiten auf der "About" Seite dieser Instanz ganz unten: https://lsbt.me/about#spenden
Am meisten freue ich mich natürlich, wenn Du die Möglichkeit der regelmäßigen #Spende per #PayPal oder #Dauerauftrag nutzen würdest.

Vielen Dank und weiterhin ganz viel Spaß bei uns, wünscht Dir Eure #Admina
Christin

#mastodon #fediverse #stats #statistics #lsbt #lgbt #trans #gay #schwul #lesbian #lesbisch #homo #transsexualität #transsexuell #transgeschlecht #transgeschlechtlich #safeplace #adminpost

https://lsbt.me/tags/transsexualit%C3%A4t
https://lsbt.me/tags/Spendenm%C3%B6glichkeiten
https://lsbt.me/tags/unterst%C3%BCtzen
https://lsbt.me/tags/Tr%C3%B6ts
https://lsbt.me/tags/R%C3%BCssel
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Hacker News
Hacker News
@h4ckernews@mastodon.social  ·  activity timestamp 3 days ago

Servo 2025 Stats

https://blogs.igalia.com/mrego/servo-2025-stats/

#HackerNews #Servo #2025 #Stats #Igalia #WebDevelopment #TechNews #BrowserStats

Servo 2025 Stats

Some numbers about the evolution of the Servo project and its community during the last years.
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Nick Byrd, Ph.D.
Nick Byrd, Ph.D.
@ByrdNick@nerdculture.de  ·  activity timestamp last week

I finally read this book about how W.E.B. #Dubois and colleagues challenged 19th and 20th century ideas and intuitions by visualizing data: https://amzn.to/49916Dz

Cheers to those who advance debate with clear, cogent, empirical arguments.

#stats #history #sociology #philosophy

Battle-Baptiste, W., & Rusert, B. (2018). W. E. B. Du Bois’s Data Portraits: Visualizing Black America. Princeton Architectural Press. ISBN 978-1-61689-706-2  https://amzn.to/49916Dz
Battle-Baptiste, W., & Rusert, B. (2018). W. E. B. Du Bois’s Data Portraits: Visualizing Black America. Princeton Architectural Press. ISBN 978-1-61689-706-2 https://amzn.to/49916Dz
Battle-Baptiste, W., & Rusert, B. (2018). W. E. B. Du Bois’s Data Portraits: Visualizing Black America. Princeton Architectural Press. ISBN 978-1-61689-706-2 https://amzn.to/49916Dz
https://amzn.to/49916Dz
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Nick Byrd, Ph.D.
Nick Byrd, Ph.D.
@ByrdNick@nerdculture.de  ·  activity timestamp last week

If a statistical test always gets produces the same result and if its results are often (usually?) described fallaciously, should the test be abandoned?

If so, we may need to abandon p-curve analysis:

https://replicationindex.com/2026/01/03/what-a-decade-of-p-curve-analyses-tells-us-about-false-positive-psychology/

#stats #psychology #philSci #metascience #sciComm

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d@nny disc@ mc² boosted
Top edits on Wikipedia
Top edits on Wikipedia
@wikipediatopedits@stefanbohacek.online  ·  activity timestamp 2 weeks ago

77 revisions https://en.wikipedia.org/wiki/Planning_of_the_September_11_attacks
- Deaths in 2025: 77 revisions https://en.wikipedia.org/wiki/Deaths_in_2025

#wikipedia #stats

Deaths in 2025 - Wikipedia

Planning of the September 11 attacks - Wikipedia

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Top edits on Wikipedia
Top edits on Wikipedia
@wikipediatopedits@stefanbohacek.online  ·  activity timestamp 2 weeks ago

77 revisions https://en.wikipedia.org/wiki/Planning_of_the_September_11_attacks
- Deaths in 2025: 77 revisions https://en.wikipedia.org/wiki/Deaths_in_2025

#wikipedia #stats

Deaths in 2025 - Wikipedia

Planning of the September 11 attacks - Wikipedia

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Stefano Marinelli boosted
Dendrobatus Azureus
Dendrobatus Azureus
@Dendrobatus_Azureus@mastodon.bsd.cafe  ·  activity timestamp last month

Reading BSD Cafe stats ATM

#Stats #statistics

https://netstats.bsd.cafe/

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Dendrobatus Azureus
Dendrobatus Azureus
@Dendrobatus_Azureus@mastodon.bsd.cafe  ·  activity timestamp last month

Reading BSD Cafe stats ATM

#Stats #statistics

https://netstats.bsd.cafe/

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Sabrina Web :privacypride: 📎 and 4 others boosted
Marie PJ⏚
Marie PJ⏚
@maruey@pouet.chapril.org  ·  activity timestamp 2 months ago

Bonjour cher.e camarade sentimental.e qui comme moi souhaite quitter #Spotify mais rechigne à voir supprimer 10 ans de playlists de vacances amoureusement assemblées.

Bonjour cher.e consœur geekos qui comme moi aime trifouiller les nombres avec #Python et #R.

Laissez-moi vous présenter https://exportify.app qui permet d'exporter toutes tes playlists Spotify en fichiers csv tout propres avec plein de stats dedans, genre "danceability" ou "valence" (?). Bon appétit !

#DeleteSpotify #stats

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Marie PJ⏚
Marie PJ⏚
@maruey@pouet.chapril.org  ·  activity timestamp 2 months ago

Moi par exemple, à l'issue de ces 16 ans d'utilisation de Spotify (sur 35 de vie, c'est énorme), j'avais 79 playlists à exporter. Des playlists créées avec des ami.es et des amoureuxses, des playlists de vacances, des Top 50 par genre de musique, et les *superbes* playlists annuelles des Top Titres.

Voyage dans le temps et l'espace.

Je suis très contente que cette donnée ne disparaisse pas avec mon compte, je vais la sauvegarder précieusement avant de trifouiller avec <3.

Marie PJ⏚
Marie PJ⏚
@maruey@pouet.chapril.org replied  ·  activity timestamp 2 months ago

Le fork https://exportify.net/ propose même un petit script d'analyse #Jupyter prêt à l'emploi pour explorer ses données sans avoir à (trop) s'y connaître.

#stats

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Marie PJ⏚
Marie PJ⏚
@maruey@pouet.chapril.org  ·  activity timestamp 2 months ago

Bonjour cher.e camarade sentimental.e qui comme moi souhaite quitter #Spotify mais rechigne à voir supprimer 10 ans de playlists de vacances amoureusement assemblées.

Bonjour cher.e consœur geekos qui comme moi aime trifouiller les nombres avec #Python et #R.

Laissez-moi vous présenter https://exportify.app qui permet d'exporter toutes tes playlists Spotify en fichiers csv tout propres avec plein de stats dedans, genre "danceability" ou "valence" (?). Bon appétit !

#DeleteSpotify #stats

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Ulrike Hahn boosted
Nicola Romanò
Nicola Romanò
@nicolaromano@qoto.org  ·  activity timestamp 2 months ago

Excellent article on the dangers of dichotomisation of continuous variables

“Cake causes herpes?” - promiscuous dichotomisation induces false positives
https://link.springer.com/article/10.1186/s12874-025-02712-0

#dataanalys #statistics #stats

SpringerLink

“Cake causes herpes?” - promiscuous dichotomisation induces false positives - BMC Medical Research Methodology

Background Continuous biomedical data is often dichotomized into two or more groups for analysis, despite long-standing warnings from statisticians that this constitutes bad practice. This dichotomisation is typically discouraged because it reduces statistical power and may obscure important trends. This paper considers another reason to discourage this practice: that dichotomisation is a powerful tool to manipulate data, as dichotomising at an arbitrary yet flexible threshold (which we term ’promiscuous dichotomisation’) represents a powerful researcher degree of freedom. Methods The motivating question is how probable is it that given a set of uniformly distributed data a threshold can be engineered to produce the illusion of a true effect when none exists? To estimate this, we employed both analytical approaches and Monte-Carlo simulation approaches to quantify the expected number of spurious findings that could arise from manipulating a dichotomous threshold for an arbitrary data set. We also illustrate an example of this with NHANES data, showing how a spurious relationship between blood glucose and herpes status could be engineered. Results For even a relatively small sample of $$n=100$$ , a false positive rate of $$\approx 38\%$$ can be observed, rising to over $$66\%$$ if low counts scenarios are not excluded. With larger samples even with low-count exclusion, false positive rates in excess of $$66\%$$ for $$n=1000$$ and $$83\%$$ for $$n=10,000$$ are possible, climbing to in excess of $$81\%$$ and $$89\%$$ respectively if low-count scenarios were not excluded. For most configurations, manipulation of thresholds was a highly viable methods of crafting a false positive result. Conclusions It is likely that manipulating cut-off points in measured variables represents a significant source of data manipulation in published science, and the ease of access of larger health databases means this is an issue that is likely to grow in severity. We discuss implications of this, and means of identifying potential promiscuous dichotomisation.
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Nicola Romanò
Nicola Romanò
@nicolaromano@qoto.org  ·  activity timestamp 2 months ago

Excellent article on the dangers of dichotomisation of continuous variables

“Cake causes herpes?” - promiscuous dichotomisation induces false positives
https://link.springer.com/article/10.1186/s12874-025-02712-0

#dataanalys #statistics #stats

SpringerLink

“Cake causes herpes?” - promiscuous dichotomisation induces false positives - BMC Medical Research Methodology

Background Continuous biomedical data is often dichotomized into two or more groups for analysis, despite long-standing warnings from statisticians that this constitutes bad practice. This dichotomisation is typically discouraged because it reduces statistical power and may obscure important trends. This paper considers another reason to discourage this practice: that dichotomisation is a powerful tool to manipulate data, as dichotomising at an arbitrary yet flexible threshold (which we term ’promiscuous dichotomisation’) represents a powerful researcher degree of freedom. Methods The motivating question is how probable is it that given a set of uniformly distributed data a threshold can be engineered to produce the illusion of a true effect when none exists? To estimate this, we employed both analytical approaches and Monte-Carlo simulation approaches to quantify the expected number of spurious findings that could arise from manipulating a dichotomous threshold for an arbitrary data set. We also illustrate an example of this with NHANES data, showing how a spurious relationship between blood glucose and herpes status could be engineered. Results For even a relatively small sample of $$n=100$$ , a false positive rate of $$\approx 38\%$$ can be observed, rising to over $$66\%$$ if low counts scenarios are not excluded. With larger samples even with low-count exclusion, false positive rates in excess of $$66\%$$ for $$n=1000$$ and $$83\%$$ for $$n=10,000$$ are possible, climbing to in excess of $$81\%$$ and $$89\%$$ respectively if low-count scenarios were not excluded. For most configurations, manipulation of thresholds was a highly viable methods of crafting a false positive result. Conclusions It is likely that manipulating cut-off points in measured variables represents a significant source of data manipulation in published science, and the ease of access of larger health databases means this is an issue that is likely to grow in severity. We discuss implications of this, and means of identifying potential promiscuous dichotomisation.
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Hacker News
Hacker News
@h4ckernews@mastodon.social  ·  activity timestamp 2 months ago

Backblaze Drive Stats for Q3 2025

https://www.backblaze.com/blog/backblaze-drive-stats-for-q3-2025/

#HackerNews #Backblaze #Drive #Stats #Q3 #2025 #DataStorage #CloudBackup #TechInsights

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d@nny disc@ mc² boosted
Top edits on Wikipedia
Top edits on Wikipedia
@wikipediatopedits@stefanbohacek.online  ·  activity timestamp 2 months ago

revisions https://en.wikipedia.org/wiki/Curry_in_the_United_Kingdom

#wikipedia #stats

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