Jenny G. Rankin, PhD
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jennygrankin.bsky.social
Jenny G. Rankin, PhD
@jennygrankin.bsky.social
140 followers 130 following 91 posts
Author of 14 books, 2 doctorates, #KeynoteSpeaker, taught Columbia & Cambridge Universities, lectured Oxford University & TED, Mensan, #data #education #researchcom, nerd
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Do you have a great 📊DATA story? Want to be in my next book?📕 If you have a story📖 of getting someone to embrace data they'd normally resist, ✅please submit here: forms.gle/yHMN1gZpbNfm...

#dataanalysis #analytics #data #datascience #business #dataanalytics #BigData #EdData #AI #JournoRequest #dddm
The ELM (routes): When people rely on peripheral cues instead of central processing, form beats substance in acceptance. #EveryoneShouldLearnAbout #CriticalThinking #Research #Stats #EvidenceBased
Kristy Venne in latest 🎙️@PsychToday interview: Navigating the most pressing questions facing schools in the AI age #TellEAW #EdChat #AIinEd www.psychologytoday.com/us/blog/much...
False consensus effect: Assuming “everyone thinks like me” makes disconfirming data seem deviant or biased. #EveryoneShouldLearnAbout #CriticalThinking #Research #Stats #EvidenceBased
Dunning–Kruger effect: Low-skill individuals overestimate their understanding and underweight corrective information. #EveryoneShouldLearnAbout #research #science #phdlife #NewsYouCanUse #academia
Personal narratives: Vivid stories shape belief and memory, often overruling cooler statistics. #EveryoneShouldLearnAbout #research #science #phdlife #NewsYouCanUse #academia
Check out how @kckschools is enhancing student decisions 🧠 ...& thus student lives! 💪 ⭐️💫🌟
www.kshb.com/news/local-n... @AllDecisionEd #TellEWA #EdChat
Group confirmation bias: Groups selectively surface congenial data and discount conflicting findings together. #EveryoneShouldLearnAbout #DataLiteracy #ScienceCommunication #Education
Normalization of deviance: Small departures from standards become accepted, dulling sensitivity to warning data. #EveryoneShouldLearnAbout #polarization #communication #communicationskills
Group polarization: Like-minded discussion drives more extreme positions, making counterevidence easier to dismiss. #EveryoneShouldLearnAbout #CriticalThinking #Research #Stats #EvidenceBased
Naïve realism: Believing we see reality “as it is” makes disagreement look like ignorance or bad faith. #EveryoneShouldLearnAbout #DataLiteracy #ScienceCommunication #Education
Ambiguity aversion: People shy away from options with unknown probabilities, discounting solid but uncertain evidence in favor of familiar narratives. #EveryoneShouldLearnAbout #CriticalThinking #Research #Stats #EvidenceBased
Us-vs-them framing: Adversarial framing makes counterevidence feel like a threat to one’s side rather than information to weigh. #EveryoneShouldLearnAbout #DataLiteracy #ScienceCommunication #Education
Numbness to scale: As numbers grow, feeling and urgency shrink, muting response to large but statistical harms. #EveryoneShouldLearnAbout #DataLiteracy #ScienceCommunication #Education
Uncertainty (doubt): Ambiguity about methods, motives, or outcomes nudges people toward identity-safe or status-quo positions. #EveryoneShouldLearnAbout #polarization #communication #communicationskills
Abstraction: Over-abstract framing can feel irrelevant or “not about me,” reducing uptake compared with concrete, relatable framing. #EveryoneShouldLearnAbout #psychology #metacognition #DecisionEducation
Noise: Random variability obscures signals, undermining confidence in true effects and inviting motivated readings. #EveryoneShouldLearnAbout #psychology #metacognition #DecisionEducation
Motivated Reasoning (vs. Bayesian): People aim for preferred conclusions rather than normatively updating from prior to posterior. #EveryoneShouldLearnAbout #psychology #metacognition #DecisionEducation
Closure/confabulation: Minds fill gaps with plausible stories, creating misplaced confidence that blocks updates. #EveryoneShouldLearnAbout #DataLiteracy #ScienceCommunication #Education
Bias blind spot: We see others’ biases better than our own, undermining openness to correction. #EveryoneShouldLearnAbout #polarization #communication #communicationskills
Effort justification: Investments of time or identity make people defend prior choices against disconfirming evidence. #EveryoneShouldLearnAbout #CriticalThinking #Research #Stats #EvidenceBased
Availability heuristic: Easily recalled examples (often vivid or recent) overpower base rates and careful statistics. #EveryoneShouldLearnAbout #polarization #communication #communicationskills
Selective exposure: People choose congenial sources and avoid opposing ones, narrowing the evidence base. #EveryoneShouldLearnAbout #research #science #phdlife #NewsYouCanUse #academia
Categorization/Simplification: Coarse buckets and shortcuts steer interpretation toward “fits the category” rather than “fits the facts.” #EveryoneShouldLearnAbout #psychology #metacognition #DecisionEducation
Jargon: Technical language depresses comprehension and trust, prompting rejection or apathy. #EveryoneShouldLearnAbout #polarization #communication #communicationskills