Published posts (newest to oldest)
- Quantitative Backdrop to facilitate context dependent quantitative research
- The soup we are cooked in
- Words of Alan Watts – myth of the objective observer
- Examined life … and scientific practice
- Thee uncertainty
- How typical is a median person?
- Reasonable reflections from jury duty
- Thoughts on the Task Force Statement
- “It is essential that the experiments give the correct result.”
- Heidegger’s authenticity – in scientific practice
- Make an ASS out of U and ME
- People are not plants … and some meditation
- Finally a post – Thanks to Gelman’s
- Statistics semantics and Statisticians React to the News blog
- Stories – and Science
- Statistical numbers from Facebook
- Us vs. them isn’t working
- Hemangiosarcoma…and a general plea to show me the data
- Oh, the words we use
- A good read and a few meta-research thoughts
- The “sorry for being me” attitude
- What does your haphazard distribution look like?
- Thieving from the Assumption Market
- The problem with “no evidence” and is it enough to bust a myth?
- Medical research reflections — scandals and a little Statistics
- 20-something naivety and wisdom – my grad school application
- Declining co-authorship — a theme of my career
- Attitudes toward models vs. Attitudes toward methods
- Assumptions are not free — they are added information
- Sorry, randomization does not ensure balance.
- Why I don’t like hypotheses
- Appreciating the anti-library
- We need more ignorance
- Fact detector? It is not.
- Defining replication
- Trust is complicated
- Wary of a “Consensus based transparency checklist”
- Nature commentary (March 2019) update from authors
- “Don’t ask” teaching in Statistics
- An “as-if” ramble about Type I error rate
- Sample size without power — Yes, it’s possible.
- Argument for p-values: “Because I understand what they mean”
- Research out of spite?
- Giving too much power to power
- Low tolerance for bullshit
- Oh, the incentives…
- Expert vs. non-expert
- The dilemna dilemma
- How did I end up as a statistician?
- Science is human.
- Assumptions are not met. Period.
- More on average
- statistics vs. Statistics
- Not right, but reasonable
- S-word
- Too nice to means
- Who is this Average American we speak of?
- Blog name?
- Willful ignorance
- Our love of dichotomizing
- Here we go…
Drafts to be finished
I start posts as ideas come up – as a record of my thoughts, what I was reading, and things I would love to spend more time on. This is the current list of titles sitting ready for a spark to “finish.” If you find any of the titles particularly interesting, I always welcome the nudge often needed to revisit and publish them. I’m hoping someday my list of published posts will be longer than my list of drafts, but then again … maybe that’s not how it should be.
- We accept a lot of hypothetical – should we be questioning it more like other times in history?
- Just doing a meta-analysis does not buy broad generalizations
- Arguments for science reform using the methods of science that need reform?
- Induction – incomplete thoughts
- The “hidden mental frame”
- A new appreciation for causality theory in Statistics – thanks to Sander Greenland
- What can we buy with that? Thoughts on design vs. model purchases.
- Clinically relevant backdrop (CRB)
- Choosing to not act is an act
- Severe testing: Thoughts from scientific practice
- The very blurry line between quantitative and qualitative research
- Assumption of independence, modeling, and generalizability
- Ignorance makes modeling easier
- How about quality of estimates, rather than accuracy and precision?
- Dangers of assuming we can operate deductively in an inductive venture
- Scope of Inference
- More on dichotomous thinking (there’s always more)
- Checking our citation-BS meters
- Reflecting on the term “rigor” – is it really what we want in science?
- Thoughts on the institution of science
- Thoughts on social cohesion and science
- Seeing and understanding a problem must precede desire to fix it
- Thoughts on Commusings
- Statistical hermeneutics?
- Liminal spaces and research
- Paradigm on a pedestal
- The Crown and leadership
- Curiosity
- Black Swan take aways as a statistician
- Thoughts on Tal Yarkoni paper on generalizability
- Inertia layer on top of prior
- What comes before statistical modeling?
- Circular logic in studying biases
- Social cohesion and science
- Statisticians and humility in science
- Statistical hermeneutics
- Liminal space in life and science
- My opinion of proprietary statistical modeling
- Making decisions in COVID-land
- What’s the right amount of simplification of diagnoses and risks for patients
- Living our stories
- Averages and humility
- What is Scope of Inference?
- Quality of estimates — beyond accuracy and precision?
- The often very blurry line between qualitative and quantitative research
- What can I buy with that? Currency through design vs. modeling.
- Assumption of independence — design, modeling, and generalizability
- General thoughts on ideas from Yarkoni in The Generalizability Crisis
- Thoughts on severe testing — from the perspective of real-life scientific practice
- How far can we expand our models? (And how ignorance makes life easier)
- Clinically Relevant Backdrop (CRB)
- Ethical problems with “paying” statisticians with publications
- Comfort for scientists is not a goal for science
- Thoughts from a skeptical (and a little cynical) statistician from The Black Swan
- Inertia layer on top of my prior
- Choosing not to change behavior is still acting
- What comes before statistical modeling?
- Comments on Walker et al (2003) paper on Defining Uncertainty: A conceptual basis for uncertainty management in model-based decision support
- Seeing and understanding a problem is needed to build a desired to fix it
- It’s been a long time since STAT 101. What’s a randomization distribution and why should I care for my research?
- What is a sampling distribution without random sampling? What is a randomization distribution without random assignment?
- Judging replication with n=2
- My thoughts on self-correcting science
- What to publish vs. Is it relevant?
- Visual diversity vs. diversity in ideas
- Social scientists or philosophers?
- More on statistical vs. scientific hypotheses
- Fisher quote about averages and variability
- Reductionism and data analysis?
- Hot hands does not exist
- Variation and uncertainty
- Big questions for everyone
- Methodological homogeneity (through Statistics)
- More unsatisfying conversation
- Variation or diversity?
- Review ISCHEMIA trial paper
- Blocking and stratification
- Science friction
- Type I error – really?
- Type P errors — the important ones
- It’s not just methods, it’s culture
- Characteristics of statistics-related-culture
- Easy is not better
- EPA Guidelines and Statistics
- Power dilemma
- Automatic and judgement – based on Gelman’s blog
- What does it mean to be labeled a statistician?
- Scientific American presents issue with statistician significance
- Graciousness — an academic example
- No proof, no truth
- An -ologist, not an -ician
- Objective? Really?
- Honest selling, not over-selling
- Laziness or fear of ambiguity?
- Fear of having to justify anything
- Ignoring uncertainty