Synopsis of Social media discussions
The conversations reveal a nuanced debate, with some posts emphasizing the article's skepticism about innate number capacity, using words like 'questioned' and 'critique', while others reference the uniqueness of human arithmetic and symbolism, indicating active engagement with the research's implications and methodology.
Agreement
Moderate agreementMost discussions support Núñez's critique, emphasizing that the concept of an innate evolved capacity for number is questionable, as seen in phrases like 'his answer is no' and references to the critique of claims supporting that idea.
Interest
High level of interestSeveral discussions express strong curiosity about the topic, highlighting debates on whether humans possess an innate numerical ability and referencing recent studies and critiques, indicating high engagement with the subject.
Engagement
Moderate level of engagementParticipants reference specific research and critique methodological bases, reflecting thoughtful analysis and some depth, such as mentioning symbolic support for arithmetic being unique to humans.
Impact
Moderate level of impactThe discussion indicates that the article challenges existing beliefs and could influence future research on cognition and evolution, though the immediate practical impact appears moderate.
Social Mentions
YouTube
2 Videos
Bluesky
1 Posts
5 Posts
Metrics
Video Views
3,342
Total Likes
73
Extended Reach
29,734
Social Features
8
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Origins of Numbers: Biological and Cultural Perspectives Explored
This video examines whether humans and animals have an evolved biological ability for understanding numbers and arithmetic, highlighting the distinction between general quantity discrimination and symbolic numerical cognition.
Origins of Numbers and Quantitative Cognition in Humans and Animals
This video explores whether humans and animals have an evolved biological capacity for understanding numbers and arithmetic, highlighting differences between quantical and numerical cognition, and critiquing common assumptions about innate numerical abilities.
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@StevenDakin Núñez, R. E. (2017a). Is There Really an Evolved Capacity for Number? Trends in Cognitive Sciences, 21(6), 409–424. https://t.co/RjDFGy4MvF
view full postSeptember 22, 2022
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Valerie Degnan
@sparkyval (Twitter)RT @RTB_HRoss: Human Design: Study shows that arithmetic & symbols to support arithmetic is unique to humans among Earth’s animals. https:/…
view full postJune 4, 2021
3
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John Sears
@JohnSears2077 (Twitter)RT @RTB_HRoss: Human Design: Study shows that arithmetic & symbols to support arithmetic is unique to humans among Earth’s animals. https:/…
view full postJune 3, 2021
3
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Joseph Daniel
@josephwdr (Twitter)RT @RTB_HRoss: Human Design: Study shows that arithmetic & symbols to support arithmetic is unique to humans among Earth’s animals. https:/…
view full postJune 2, 2021
3
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Hugh Ross
@RTB_HRoss (Twitter)Human Design: Study shows that arithmetic & symbols to support arithmetic is unique to humans among Earth’s animals. https://t.co/U01m5I3Und
view full postJune 2, 2021
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Kensy Cooperrider
@kensycoop.bsky.social (Bluesky)In a new TiCS opinion, Núñez asks: "Is there really an evolved capacity for number?" His answer is 'no'. http://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(17)30048-7
view full postMay 17, 2017
1
Abstract Synopsis
- The text discusses whether humans and other species have an evolved biological ability specifically for understanding numbers and arithmetic, but it questions this idea by critiquing the underlying assumptions and methods used in such arguments.
- It emphasizes the importance of distinguishing between "quantical" cognition, which is an evolved general ability to discriminate quantities, and "numerical" cognition, which involves exact numbers and arithmetic that require cultural learning and symbolic understanding.
- The critique suggests that many arguments for an evolved capacity for number are based on flawed reasoning, misleading interpretations of data, and loose terminology, and that similar debates apply to other cognitive abilities like geometry, music, art, and language.]
Jacob R. Cheeseman
@jrcheeseman (Twitter)