Ai ---------- is NOT the expert ---------- you are unaware of how it works.
It is no more than a search engine. It runs around the place looking for information for you - brings it to you and then, you read and filter that information.
You, I and everyone else form our opinions on 2 things and 2 things only - information from sources - and our own thinking.
AI merely brings you a list of information sources.
Your infantile quip ''lots of dodgy studies courtesy of Prof. Google. '' displays a spectacular igorance of how to use AI and search engines AND a total disrespect of science -I have said many times - the way to use AI is to go and see the references AND the references in the references - MANY of which are belowif you believe that gaining access to dozens of studies like these below is '''
'lots of dodgy studies courtesy of Prof. Google. ''
then, you show clear evidence of a very closed mind and a spectacular lack of keeping up with new knowledge acquisition
https://www.pnas.org/doi/full/10.1073/pnas.1718793115References1
JR Flynn, Massive IQ gains in 14 nations: What IQ tests really measure.
Psychol Bull101, 171–191 (1987).
CrossrefGoogle Scholar2
J Pietschnig, M Voracek, One century of global IQ gains: A formal meta-analysis of the Flynn effect (1909-2013).
Perspect Psychol Sci10, 282–306 (2015).
CrossrefPubMedGoogle Scholar3
JR Flynn
Are We Getting Smarter?: Rising IQ in the Twenty-First Century (Cambridge Univ Press, Cambridge, UK, 2012).
CrossrefGoogle Scholar4
JR Flynn
What Is Intelligence?: Beyond the Flynn Effect (Cambridge Univ Press, Cambridge, UK, 2009).
Google Scholar5
R Lynn
Dysgenics: Genetic Deterioration in Modern Populations (Praeger, Santa Barbara, CA, 1996).
Go to referenceGoogle Scholar6
E Dutton, D van der Linden, R Lynn, The negative Flynn effect: A systematic literature review.
Intelligence59, 163–169 (2016).
CrossrefGoogle Scholar7
H Rindermann, D Becker, TR Coyle, Survey of expert opinion on intelligence: The Flynn effect and the future of intelligence.
Pers Individ Dif106, 242–247 (2017).
CrossrefGoogle Scholar8
JM Sundet, W Eriksen, I Borren, K Tambs, The Flynn effect in sibships: Investigating the role of age differences between siblings.
Intelligence38, 38–44 (2010).
CrossrefGoogle Scholar9
JM Sundet, DG Barlaug, TM Torjussen, The end of the Flynn effect?: A study of secular trends in mean intelligence test scores of Norwegian conscripts during half a century.
Intelligence32, 349–362 (2004).
CrossrefGoogle Scholar10
CN Brinch, TA Galloway, Schooling in adolescence raises IQ scores.
Proc Natl Acad Sci USA109, 425–430 (2012).
CrossrefPubMedGoogle Scholar11
B Bratsberg, O Rogeberg, Childhood socioeconomic status does not explain the IQ-mortality gradient.
Intelligence62, 148–154 (2017).
Go to referenceCrossrefGoogle Scholar12
T Bjerkedal, P Kristensen, GA Skjeret, JI Brevik, Intelligence test scores and birth order among young Norwegian men (conscripts) analyzed within and between families.
Intelligence35, 503–514 (2007).
Go to referenceCrossrefGoogle Scholar13
SE Black, PJ Devereux, KG Salvanes, Older and wiser? Birth order and IQ of young men.
CESifo Econ Stud57, 103–120 (2011).
CrossrefGoogle Scholar14
P Kristensen, T Bjerkedal, Explaining the relation between birth order and intelligence.
Science316, 1717 (2007).
Go to referenceCrossrefPubMedGoogle Scholar15
Jr TJ Bouchard, M McGue, Familial studies of intelligence: A review.
Science212, 1055–1059 (1981).
Go to referenceCrossrefPubMedGoogle Scholar16
A Kong, et al., Selection against variants in the genome associated with educational attainment.
Proc Natl Acad Sci USA114, E727–E732 (2017).
Go to referenceCrossrefPubMedGoogle Scholar17
JP Beauchamp, Genetic evidence for natural selection in humans in the contemporary United States.
Proc Natl Acad Sci USA113, 7774–7779 (2016).
Go to referenceCrossrefPubMedGoogle Scholar18
M Kolk, KJ Barclay, Cognitive ability and fertility amongst Swedish men. Evidence from 18 cohorts of military conscription. MPIDR Working Paper 2017–020 (Max Planck Institute for Demographic Research, Rostock, Germany). Available at
https://www.demogr.mpg.de/papers/working/wp-2017-020.pdf. Accessed February 27, 2018. (2017).
Go to referenceGoogle Scholar19
JR Flynn, M Shayer, IQ decline and Piaget: Does the rot start at the top?
Intelligence66, 112–121 (2018).
Go to referenceCrossrefGoogle Scholar20
B Carpenter, et al., Stan: A probabilistic programming language.
J Stat Softw76, 1–32 (2017).
Go to referenceCrossrefPubMedGoogle Scholar21
; Stan Development Team, Stan Modeling Language–User’s Guide and Reference Manual, Technical Manual Stan Version 2.14.0 (Stan Development Team). Available at
mc-stan.org/users/documentation/. Accessed January 22, 2017. (2016).