iiinova — where your digital self keeps evolving

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Emily M. Bender @emilymbender.bsky.social · 13/09/2026

Straight talk time: Doomerism is BORING. It's the same fantasties rehashed over and over again, just louder each time. And with each iteration it seems that new audiences are being reached, and a new group of people needs to be talked down from unnecessary fear. >>

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Nick Stroustrup @nstroustrup.bsky.social · 05/09/2026

Did you know that the cells of old animals contain much less mRNA than the cells of young ones? Let me share with you some results from an ongoing project in the lab, where we are finding that a progressive depletion of total mRNA abundance is a crucial part of aging 1/22

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Solomon Kurz @solomonkurz.bsky.social · 27/05/2026

Part of the issue is the world doesn’t owe you an answer just because you have an interesting question, and I suspect many of our interesting social science questions will go unanswered for a very long time.

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Joachim Goedhart @joachimgoedhart.bsky.social · 22/05/2026

Awesome idea, bridging Excel with ggplot2 ⬇️ Figra: A WebAssembly-based Excel Add-in for publication-quality scientific visualization with ggplot2 by Yoshiaki Sato: www.biorxiv.org/content/10.6...

biorxiv.org

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Boxo McFoxo @boxobark.ing · 20/04/2026

As a predominantly inattentive ADHDer, the only way that an LLM could 'help' me write is with cognitive offloading, which is actually a lie, and one that I do not trust. For grammar checking, there is a great open source alternative to Grammarly which is entirely non-LLM called Harper.

writewithharper.com

Harper | Privacy-First Offline Grammar Checker

Harper checks your writing instantly—fast, lightweight and utterly private—so you can polish every clause without surrendering a single keystroke.

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Darren Dahly @statsepi.bsky.social · 18/03/2026

Every day is a good day for sharing one of the most useful papers about research data ever written. PLEASE get your people to understand and follow this advice. www.tandfonline.com/doi/full/10....

Data Organization in Spreadsheets
Karl W. Broman
& Kara H. Woo
Pages 2-10 | Received 01 Jun 2017, Accepted author version posted online: 29 Sep 2017, Published online: 24 Apr 2018

1. Introduction
2. Be Consistent
3. Choose Good Names for Things
4. Write Dates as YYYY-MM-DD
5. No Empty Cells
6. Put Just One Thing in a Cell
7. Make it a Rectangle
8. Create a Data Dictionary
9. No Calculations in the Raw Data Files
10. Do Not Use Font Color or Highlighting as Data
11. Make Backups
12. Use Data Validation to Avoid Errors
13. Save the Data in Plain Text Files

ABSTRACT

Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses. The basic principles are: be consistent, write dates like YYYY-MM-DD, do not leave any cells empty, put just one thing in a cell, organize the data as a single rectangle (with subjects as rows and variables as columns, and with a single header row), create a data dictionary, do not include calculations in the raw data files, do not use font color or highlighting as data, choose good names for things, make backups, use data validation to avoid data entry errors, and save the data in plain text files.

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Lior Pachter @lpachter.bsky.social · 06/03/2026

kallisto sped up RNA-seq quantification by 50x. Now another 50x speedup... quantify hundreds of millions of reads in a few seconds. This seems too good to be true. But it's true! Incredible accomplishment by @pmelsted.bsky.social.

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Nicholas Mancuso @nmancuso.bsky.social · 06/05/2025

Errors. Call them errors ffs. They're not hallucinations they're not lies. Call them errors. This dumbass personification of a fancy prediction tool is only reinforcing the idea that these things really are intelligent and not just a computer program.

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A*STAR Genome Institute of Singapore (A*STAR GIS) @astar-gis.bsky.social · 21/03/2025

Congratulations to @jonathangoeke.bsky.social, and our @astar-gis.bsky.social team on your SG-NEx project, providing a comprehensive resource that enables the development and benchmarking of computational methods for profiling complex transcriptional events at isoform-level resolution.

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