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Michael P. Grosz

@mp-grosz.bsky.social
1.3K followers 662 following 43 posts

Professor of Psychological Assessment at HMU Health & Medical University Potsdam (Germany). Research interests: personality, social status & causal inference

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Reposted by Michael P. Grosz
Jennifer Tackett @jnfrltackett.bsky.social · 03/08/2026
I'm excited to announce that I will be reviewing graduate student applications for Fall 2027 admissions! I review applications in both the Personality, Development, and Health and the Clinical Science (Weinberg) programs.
sites.northwestern.edu
Research | Personality Across Development Lab
Current Research Topics Leadership Emergence and Development Tackett, J. L., Reardon, K. W., Fast, N. J., Johnson, L., Kang, S. K., Lang, J....
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Michael P. Grosz @mp-grosz.bsky.social · 13/05/2026
Do punishers of freeriders get admiration from peers? Depends a lot on the peers. In small groups (N=667 lab study), punishers received higher status from peers high in right-wing authoritarianism, but not by peers low in RWA. Full paper (open access): journals.sagepub.com/doi/10.1177/...
Status assignment by the target’s punishment sum and the perceiver’s RWA.
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Michael P. Grosz @mp-grosz.bsky.social · 04/05/2026
Which Machiavellianism scale should we use? We compared the TDMS, FFMI-SSF, MAAQ, M4, M7, and SD4 in a comprehensive psychometric evaluation. Spoiler: the M4 came out on top overall. And yes, I developed the M4. Make of that what you will.😅 The preprint is available on osf.io/preprints/ps...
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Michael P. Grosz @mp-grosz.bsky.social · 27/04/2026
Two simulation studies in this paper show that doubly robust methods for causal inference—especially regression weighted by inverse propensity scores—are more robust to model misspecification than traditional regression across many scenarios. link.springer.com/article/10.3...
link.springer.com
A review and evaluation of doubly robust approaches for estimating average treatment effects - Behavior Research Methods
In nonexperimental studies, obtaining an unbiased estimate of the average treatment effect (ATE) typically requires two key assumptions: that all relevant covariates are measured (i.e., no unmeasured ...
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Reposted by Michael P. Grosz
Simon Columbus @simoncolumbus.bsky.social · 22/04/2026
This looks like a paper every personality psychologist should have an opinion on. I've often defended broad factor models to cognitive scientists and economists who look at them askance because they are genuinely useful, but it's hard to argue that personality traits are common causes as modelled.
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Reposted by Michael P. Grosz
Julia M. Rohrer @dingdingpeng.the100.ci · 22/04/2026
Good news everyone 🥳 Our (w @vincentab.bsky.social) primer on models as prediction machines (with the marginaleffects package) is finally officially published!> journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
Models as Prediction Machines: How to Convert Confusing Coefficients Into Clear Quantities - Julia M. Rohrer, Vincent Arel-Bundock, 2026
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear model...
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Michael P. Grosz @mp-grosz.bsky.social · 22/04/2026
I'm excited to share that my paper "Why the Big Five Personality Traits Are Composites, Not Common Causes" has just been accepted at Psychological Review. The preprint is available on PsyArXiv: osf.io/preprints/ps...
A table illustrating the benefits of adopting a composite-formative model and of focusing on narrower personality traits
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Ruben C. Arslan @ruben.the100.ci · 14/04/2026
New post on The 100% CI: Science needs downvotes. www.the100.ci/2026/04/13/s... In which I make the case that grant funders should add funding lines that include a module for bug bounties.
the100.ci
Science needs downvotes
A bug bounty module in grants would give criticism a leg up The Soviet Union was good at producing shoes. Factories made 800 million pairs a year, twice as many as Italy, three times as many as the...
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Reposted by Michael P. Grosz
Samantha Joel @datingdecisions.bsky.social · 06/04/2026
New paper, out this week in PLOS One, suggests that most close relationship self-report measures are primarily capturing relationship quality 🧵 journals.plos.org/plosone/arti...
journals.plos.org
Predicting relationship quality with itself? A single general factor captures most of the variance across 34 common relationship measures
In relationship science, researchers have generated a wide array of constructs and corresponding self-report measures to characterize, explain, and predict relationship quality – the foremost studied ...
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Reposted by Michael P. Grosz
Andrew Gordon @andrewgordon.bsky.social · 01/04/2026
New preprint out today (osf.io/preprints/ps...). We tested whether AI agents are actually infiltrating online surveys. Spoiler alert: they aren't Thread 🧵 [1/9]
osf.io
OSF
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Ruben C. Arslan @ruben.the100.ci · 09/03/2026
New post from me on The 100% CI. Think inside the box, part 1: The guy Euclidean distance told you not to worry about www.the100.ci/2026/03/09/t...
the100.ci
Think inside the box, part 1: The guy Euclidean distance told you not to worry about
Romance could be so simple if only we were two-dimensional. You just find the closest available partner and go for it. To find out who is closest, you might compute a distance measure. The Euclidean d...
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Reposted by Michael P. Grosz
The John Snow Society @johnsnowsociety.bsky.social · 03/03/2026
Despite increasing use of observational data in public health, researchers are still hesitant to use strong causal language (for fear of overpromising). New paper and comment in @bmj.com sets out new guidance on appropriate use/misuse of causal language www.bmj.com/content/392/...
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Collabra: Psychology @collabrapsychology.bsky.social · 22/01/2026
“To Be” or “I Am Someone Who Tends to Be”: Does the Wording of Personality Items Matter? #RegisteredReport from @cskay.bsky.social, Sara Weston, and David Condon doi.org/10.1525/coll...
doi.org
“To Be” or “I Am Someone Who Tends to Be”: Does the Wording of Personality Items Matter?
The fundamental unit of data collection for self- and informant-report personality research is the item. In personality structure research, items have historically taken the form of single-word trait ...
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Reposted by Michael P. Grosz
Julia M. Rohrer @dingdingpeng.the100.ci · 18/12/2025
Just gave my last talk of the year! 2025 was quite packed, I gave talks about: - the age-period-cohort problem - making rigorous causal inference more mainstream - mediation analysis - marginaleffects - causal graphs (x10) If you're curious, check out my slides here: juliarohrer.com/resources/
juliarohrer.com
Resources
Here you can find a collection of things that may be helpful, including slide decks, a curated list of introductory papers and blog posts, as well as some infographics I have generated to explain v…
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Reposted by Michael P. Grosz
Julia M. Rohrer @dingdingpeng.the100.ci · 07/12/2025
I used to think that people use the “weasel word causal inference strategy” (“our analyses show that X is an important predictor of…” followed by conclusions that are clearly causal) for the sake of plausible deniability. But I’m revising that now, because often deniability *isn’t* plausible.>
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Michael P. Grosz @mp-grosz.bsky.social · 02/12/2025
Meine Uni, die HMU, hat mehrere W3 Professuren für den neuen Standort in München ausgeschrieben: ✅ Quantitative Methoden ✅ Allgemeine Psychologie ✅ Entwicklungspsychologie ✅ 2 x Klinische Psychologie www.health-and-medical-university-muenchen.de/ueber-uns/ka... 🔄 Bitte teilen & retweeten!
health-and-medical-university-muenchen.de
Karriere an der HMU | HMU Health and Medical University - HMU - München
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Julia M. Rohrer @dingdingpeng.the100.ci · 17/09/2025
Das Kriminologische Forschungsinstitut Niedersachen oranisiert eine Tagung zu Kausalanalyse in der kriminologischen Forschung -- 8. und 9. Dezember in Hannover, Teilnahme kostenfrei! kfn.de/veranstaltun...
Einladung zur KGN-Methoden Lab Herbst-/Wintertagung 2025
Zwischen Theorie und Evidenz: Kausalanalyse in der kriminologischen Forschung
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Michael P. Grosz @mp-grosz.bsky.social · 22/08/2025
Machiavellianism scales often miss key facets across affect, behavior, cognition, and desire. Our new paper in @collabrapsychology.bsky.social introduces the M4 scale, built with Ant Colony Optimization to capture Mach more comprehensively. It is freely available here: doi.org/10.1525/coll...
doi.org
Assessing the ABCDs of Machiavellianism: Development and Validation of the M4 Scale Using Ant Colony Optimization
Machiavellianism (Mach) is a personality trait characterized by cold rationality, cynicism, duplicity, and the strategic and egotistical pursuit of goals. Despite recent advances in the measurement of...
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Reposted by Michael P. Grosz
Collabra: Psychology @collabrapsychology.bsky.social · 22/08/2025
Assessing the ABCDs of Machiavellianism: Development and Validation of the M4 Scale Using Ant Colony Optimization, from @mp-grosz.bsky.social et al. doi.org/10.1525/coll...
doi.org
Assessing the ABCDs of Machiavellianism: Development and Validation of the M4 Scale Using Ant Colony Optimization
Machiavellianism (Mach) is a personality trait characterized by cold rationality, cynicism, duplicity, and the strategic and egotistical pursuit of goals. Despite recent advances in the measurement of...
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Saloni @scientificdiscovery.dev · 04/08/2025
New article by me! Cardiovascular disease mortality rates have declined by around three-quarters since 1950, but we rarely hear about it. I explore some of the reasons behind the decline. ourworldindata.org/cardiovascul...
This image depicts a line graph showing cardiovascular mortality rates in the United States from 1933 to 2023, alongside key advancements in medicine, surgery, and public health. The y-axis represents age-standardized death rates from cardiovascular disease, ranging from 0 to 600. The x-axis represents years from 1933 to 2023. 

The graph starts at around 600 deaths per 100,000 people in 1933 and trends downward sharply over the decades, indicating a significant decline in mortality rates. Key advancements are marked along the timeline, including the introduction of the first heart-lung machine in 1953, the first cardiac CT scan in 1977, and the first 3D-printed heart models in 2012. 

Footnote information states that data begins in 1933 when all U.S. states started reporting cardiovascular mortality rates, sourced from the National Center for Heart Statistics in 2020 and the CDC Wonder in 2025. The chart is published by Saloni Dattani at Our World in Data.
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Lynn Chiu @drlynnchiu.bsky.social · 10/07/2025
APART-USA @oeaw.bsky.social program available for outstanding #postdocs working at US research institutions to relocate their research activities to Austria. 25 fellowships distributed across Austrian research institutions, Sept 15 deadline, by nomination stipendien.oeaw.ac.at/en/fellowshi...
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Julia M. Rohrer @dingdingpeng.the100.ci · 05/07/2025
This one is quite fascinating because it’s a very explicit attempt at methods harm reduction — people keep doing the shoddiest mediation analyses despite repeated criticism; let’s rebrand it as associational variable analysis to provide a more accurate label.
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Michael P. Grosz @mp-grosz.bsky.social · 03/07/2025
Our paper about the GIPO data has now been officially published at Personality Science. The paper is freely available at journals.sagepub.com/doi/10.1177/...
In the Group Interaction and Perception of Others (GIPO) project, we collected data (N = 1460) containing a large number of self- and informant-reported personality items and incentivized measures of prosocial and cheating behavior. Many participants (N = 699) also attended a laboratory session in which they interacted in groups of 7–9 individuals in two modified versions of the public goods game with punishment. During and after the public goods games, participants
reported their perceptions, expectations, and evaluations of each other through round-robin ratings. Due to the extensive assessments of personality and incentivized social behavior included in the GIPO data, these data are suitable for investigating the links between personality traits and prosocial and cheating behavior. Furthermore, they can be analyzed to gain a fine-grained picture of the perceptions, expectations, and evaluations that precede or follow behavior in economic games. Finally, researchers might want to use the GIPO data to investigate the psychometric properties and in particular the
validity of the personality measures we used. To facilitate use of the data, we made the anonymized GIPO data publicly available. Taken together, the GIPO data are a publicly available rich resource for investigating the links between personality and incentivized social behavior.
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Michael P. Grosz @mp-grosz.bsky.social · 25/06/2025
❕NEW PAPER❕ We developed the M4, a reliable & valid Machiavellianism scale capturing affective, behavioral, cognitive, and motivational aspects of Mach. Link: osf.io/preprints/ps...
Machiavellianism (Mach) is a personality trait characterized by cold rationality, cynicism, duplicity, and the strategic and egotistical pursuit of goals. Despite recent advances in the measurement of Mach, most Mach scales show limited content validity because they have not systematically integrated recurring Mach themes in the areas of affect (A), behavior (B), cognition (C), and desire (D). To overcome this and other issues, we developed a new Mach scale, the M4. We created the M4 by using Ant Colony Optimization (ACO) to select 16 items from a pool of 92 newly generated and expert-rated Mach items. In two studies with German-speaking participants (N1 = 765; N2 = 1,288), the M4 total score showed high reliability and high convergent validity with established Mach scales and M4 informant reports. Furthermore, the nomological network of the M4 aligned in several respects with the theoretical conceptualization of Mach. However, some unexpected associations suggested the need to refine the conceptualization of Mach regarding its relationship with certain forms of impulsivity and neuroticism. Commonality analyses further indicated that the M4 predicted incentivized cheating behavior better than five other recently developed Mach measures. Hence, the M4 holds promise for advancing the assessment of Mach.
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Ted Schwaba @tedmond.bsky.social · 20/05/2025
Extremely excited to share the first effort of the Revived Genomics of Personality Consortium: A highly-powered, comprehensive GWAS of the Big Five personality traits in 1.14 million participants from 46 cohorts. www.biorxiv.org/content/10.1...
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Michael P. Grosz @mp-grosz.bsky.social · 19/05/2025
📊 NEW PAPER 📊 Our manuscript about the GIPO dataset (N = 1,460) is now accepted at Personality Science! 🎉 The freely available dataset includes measures of personality and prosocial & cheating behavior. 📄 You can find the accepted manuscript here: osf.io/preprints/ps... bsky.app/profile/mp-g...
osf.io
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Fabian Dablander @fdabl.bsky.social · 08/05/2025
🚨 New preprint! 🚨 Using nationally representative survey data from 142 countries (N = 128,093), I find that people who have experienced a climate-related hazard are more likely to consider climate change a 𝘷𝘦𝘳𝘺 𝘴𝘦𝘳𝘪𝘰𝘶𝘴 𝘵𝘩𝘳𝘦𝘢𝘵. 🧵 Link: osf.io/preprints/ps...
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Nadira Faber @nadirafaber.bsky.social · 28/04/2025
🚨 JOB! Full professorship (W3) in Personality Psychology / Interindividual Differences & Psychological Assessment at Uni Bremen. I hold the "sister professorship" is social psych & very much recommend this post. Please apply, share widely & don't hestiate to ask me! www.uni-bremen.de/en/universit...
uni-bremen.de
Job Vacancies - Universität Bremen
Offene Stellen
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Marlene Altenmüller @marlephie.bsky.social · 28/04/2025
📣 Are you a psychologist with an interest and passion for #ScienceCommunication research and/or practice in Germany? Join our newly founded DGPs interest group #PsyComm! 📣
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Michael P. Grosz @mp-grosz.bsky.social · 23/04/2025
This paper on tailored cutoffs for fit indices in SEM is great. Their simulation-cum-ROC approach is not only more informative but also more flexibly applicable (e.g., works also for second-order models and WLSMV) than other methods for finding tailored cutoffs. link.springer.com/article/10.3...
link.springer.com
The simulation-cum-ROC approach: A new approach to generate tailored cutoffs for fit indices through simulation and ROC analysis - Behavior Research Methods
To evaluate model fit in structural equation modeling, researchers commonly compare fit indices against fixed cutoff values (e.g., CFI ≥ .950). However, methodologists have cautioned against overgener...
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Michael P. Grosz @mp-grosz.bsky.social · 17/04/2025
I’m excited to share my new preprint entitled “The Big Five Personality Traits are Composites Rather Than Common Causes”: osf.io/6ukqb_v1. 😀
The Big Five personality traits are among the most frequently measured psychological traits. They are often treated as common causes of the Big Five items in reflective measurement models such as factor analysis models and item response theory models. For example, extraversion items are modeled as reflective indicators influenced by the latent variable extraversion. However, the reflective measurement model’s assumption of unidimensionality is implausible because the Big Five do not correspond to five biological, environmental, or mental entities that could serve as common causes. The reflective model’s assumption of local independence is also implausible due to direct causal effects, semantic overlap, and logical consistencies among the Big Five items. Despite the implausibility of a reflective model, researchers continue to use methods and theories that implicitly or explicitly assume a reflective measurement model. As an alternative, I propose a composite-formative measurement model. A shift from a reflective to a composite-formative model implies that researchers should use composite-formative rather than reflective measurement models in structural equation models. Additionally, item retest reliabilities rather than Cronbach’s alpha or McDonald’s omega should be used to estimate reliability. The composite-formative model for the Big Five is as useful as the reflective measurement model for description and prediction. However, other predictive approaches are more accurate, and the Big Five composites are hardly useful for investigating causal effects. Overall, the composite-formative model overcomes the implausibility of the assumptions of the reflective measurement model while enabling personality researchers to continue to use the Big Five for descriptive research purposes.
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tal yarkoni @talyarkoni.com · 15/04/2025
if you're a PhD student or postdoc working at the interface of personality psychology and CS/ML (construed broadly on both sides), and are interested in doing a full-time, remote, 3 - 6 month internship/residency at MidJourney, please DM me some kind of resume or CV-like thing
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Michael P. Grosz @mp-grosz.bsky.social · 15/04/2025
This might be a serious problem for nonexperimental research on personality change because personality might influence whether someone participates in a (panel) study or not
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Robert Ross @robert-m-ross.bsky.social · 01/04/2025
Have you every found yourself wondering whether the most widely used measures of social cognitive ability measure what they are supposed to measure?
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Ruben C. Arslan @ruben.the100.ci · 18/03/2025
Want to make nice graphs with me, starting this summer? I am hiring for two PhD positions at the University of Witten/Herdecke.
Treemap chart showing the fragmented landscape of psychological measures.
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Michael P. Grosz @mp-grosz.bsky.social · 15/03/2025
7 years ago, I received funding for a project on personality, incentivized prosocial behavior & social status in groups. Today, we've made the anonymized data publicly available. Researchers can now use it by citing the preprint/paper (no need to add anyone as a coauthor): doi.org/10.31234/osf...
In the Group Interaction and Perception of Others (GIPO) project, we collected data (N = 1,460) containing a large number of self- and informant-reported personality items and incentivized measures of prosocial and cheating behavior. Many participants (N = 699) also attended a laboratory session in which they interacted in groups of 7-9 individuals in two modified versions of the public goods game with punishment. During and after the public goods games, participants reported their perceptions, expectations, and evaluations of each other through round-robin ratings. Due to the extensive assessments of personality and incentivized social behavior included in the GIPO data, these data are suitable for investigating the links between personality traits and prosocial and cheating behavior. Furthermore, they can be analyzed to gain a fine-grained picture of the perceptions, expectations, and evaluations that precede or follow behavior in economic games. Finally, researchers might want to use the GIPO data to investigate the psychometric properties and in particular the validity of the personality measures we used. To facilitate use of the data, we made the anonymized GIPO data publicly available. Taken together, the GIPO data are a publicly available rich resource for investigating the links between personality and incentivized social behavior.
Keywords: personality assessment, game theory, social dilemmas, social status, influence, likeability, trust, group dynamics
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Michael P. Grosz @mp-grosz.bsky.social · 28/02/2025
We have a freshly accepted manuscript about the influence of socially desireable responding on personality self-reports. Participants (N = 231) took the BFI-2 twice, first honestly and then with faking-good instructions in a job or dating context. Link to the preprint: osf.io/preprints/ps...
Socially desirable responding can impair the validity of self-report questionnaires, especially in high-stakes situations in which people are incentivized to manage the impression they make on others. The current experiment examined the context dependency of impression management. Participants (N = 231) completed the Big Five Inventory-2 twice, first honestly and then with faking-good instructions in a job or dating context. Socially desirable responding was present in both contexts but was more pronounced in the job context than in the dating context for many (but not all) Big Five domains and facets. Future research should investigate whether faking behavior differs across contexts not only under faking-good instructions but also in high-stakes situations (e.g., personnel selection or online dating).
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Nick Huntington-Klein @nickchk.com · 25/02/2025
After a long wait, the working paper for the Many-Economists Project: The Sources of Researcher Variation in Economics. We had 146 teams perform the same research three times, each time with less freedom. What source of freedom leads to different choices and results? papers.ssrn.com/sol3/papers....
papers.ssrn.com
The Sources of Researcher Variation in Economics
We use a rigorous three-stage many-analysts design to assess how different researcher decisions—specifically data cleaning, research design, and the interpretat
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Dominik Deffner @dominikdeffner.bsky.social · 25/02/2025
In case you need another reason to apply: There are eagle-owls nesting in the towers of Marburg's 13th-century Gothic church and you can observe (and hear) them almost every day at dawn 😱
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Giovanni Mellace @giovannimellace.bsky.social · 30/01/2025
We’re looking for a motivated researcher to apply for a Marie Skłodowska-Curie postdoc with our Econometrics & Data Science group at SDU! Focus: Causal Inference, Machine Learning, Big Data Full support for promising projects More info & apply: www.sdu.dk/en/om-sdu/in...
sdu.dk
Econometrics and Data Science
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Michael D. Krämer @mdkraemer.bsky.social · 27/01/2025
I talked to Özge Fischer-Baum from @psychscience.bsky.social about our recent paper on informal caregivers‘ wellbeing! Their podcast Under the Cortex is a really fun format 😊 www.psychologicalscience.org/news/utc-202...
psychologicalscience.org
The Hidden Cost of Caregiving: Stress, Anxiety, and Coping Mechanisms
Podcast: Under the Cortex features Michael Kramer from the University of Zurich to discuss how, as individuals step up to provide care for loved ones in need, they face their own mental health challen...
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Daniel Lakens @lakens.bsky.social · 19/01/2025
People, just stop doing Frontiers special issues. Find a nice diamond open access journal, and self-publish and collaboratively peer review the set of papers you all want to write. Do not give Frontiers money. They add no value. If anything, they hurt your reputation. MDPI is of course even worse.
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AJ Ferguson @pantsdancetrance.bsky.social · 17/11/2024
Psych and Neuro starter packs! 🧠 Develop Psych go.bsky.app/9kHQS7i Cog Neuro 1 go.bsky.app/2n84SRM Soc Psych 1 go.bsky.app/J4gmGmV Soc Psych 2 go.bsky.app/B5LmAbf Diversity Soc Psych go.bsky.app/MAoGLF4 Personality Psych go.bsky.app/TwHBMQi Health Psych go.bsky.app/9Xfk7Wo
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Jonas Haslbeck @jmbh.bsky.social · 07/01/2025
Emotions are reactions to situations we encounter in daily life. In our new paper in Psych Review (psycnet.apa.org/fulltext/202...; with @oisinryan.bsky.social and @fdabl.bsky.social), we take a first step towards building a generative model for emotion dynamics based on this simple principle 1/4
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Michael P. Grosz @mp-grosz.bsky.social · 06/01/2025
1/ Our paper "A large-scale, gamified online assessment of first impressions: The Who Knows project" has just been accepted at Behavior Research Methods! 🎉 Check out the preprint here: osf.io/preprints/ps... Special credit to Richard Rau for envisioning & spearheading this innovative project & app!
osf.io
OSF
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Georg Henning @georghenning.bsky.social · 22/12/2024
Interviewer: Can you explain this gap in your resume? Psychologist: causal inference is not possible without experiments, but I can describe the gap!
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Personality Psychology Podcast @pepsypodcast.bsky.social · 06/12/2024
We are back with a new episode! @renemottus.bsky.social spoke with @ruben.the100.ci and Farid Anvari about the jingle jangle jungle of measurement and the unchecked proliferation of psychological tests. While there’s a lot of good in our field, there’s also room for improvement. Check it out!
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Peter Haehner @peterhaehner.bsky.social · 02/12/2024
Can people intentionally change their personality? Happy to share that our review on volitional personality change research has now been published at Nature Communications. Open-Access-Link: doi.org/10.1038/s442...
doi.org
A systematic review of volitional personality change research - Communications Psychology
Meta-analytic evidence finds interventions aimed at altering personality traits were successful in promoting change. A review of nonintervention studies, finds having the goal to change personality is...
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Yongnam Kim @ykims.bsky.social · 02/12/2024
DAGs (causal graphs) can be used to understand the mechanics of linear interaction analysis. See more here: bpspsychub.onlinelibrary.wiley.com/doi/10.1111/...
bpspsychub.onlinelibrary.wiley.com
British Journal of Mathematical and Statistical Psychology | Wiley Online Library
Interaction analysis using linear regression is widely employed in psychology and related fields, yet it often induces confusion among applied researchers and students. This paper aims to address thi...
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Julia M. Rohrer @dingdingpeng.the100.ci · 01/12/2024
Behind the first door of the 100% CI advent calendar is a new blog post! In which I hand out unsolicited writing advice -- with a focus on writing about technical topics in an accessible manner, but most of it is fairly general: www.the100.ci/2024/12/01/w...
the100.ci
Writing about technical topics in an accessible manner
A wise man – I’m quite sure it was Brian Wansink – once pointed out that it is impossible to both read and write a lot. So, maybe reading a post about how to write just steals time from the more urgen...
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