Darker cells mean a higher score for this topic on that metric.
LessMore
Last reviewed Sources & creditsMedia creditsMethodology
Quick answers
Does this atlas rank groups by IQ, race or nation?
No. Pathways and evidence stay individual. Scores are browsing aids — never group biological or racial ranks.
How much does practice explain in sport?
Macnamara et al. 2014: about 18% in their sports coding — a minority. Hours still matter; they are not the whole ranking.
Do early specialisers always win?
Some sports (women’s gymnastics) have early peaks. Many field sports reward later specialisation. The “10,000 hours from age five” poster is Gladwell, not a periodisation plan.
Are East African runners a racial proof?
No. Altitude towns, running to school, camps in Iten and Bekoji, and selection are the first variables. This atlas will not turn medals into a biological hierarchy of peoples.
What did Bloom 1985 add?
Families and coaches around high achievers — play, then a serious teacher, then a master. Qualitative and still useful.
Do talent ID camps work?
They measure current performance plus size. Late developers and late bloomers get cut. Australia’s AIS is a famous, imperfect machine.
Research on athletic talent runs from Benjamin Bloom (1985) through later critiques. Mechanisms are interacting systems.
Evidence percentages below are relative judgements for this atlas, not fabricated precise statistics. Named studies keep their published bands.
Findings
- 1985 · Benjamin Bloom — Families and coaches recur Play, serious teacher, master — across swimming and tennis in his sample.
- 2014 · Macnamara et al. — Practice ~18% in sports A minority share; residuals include body and opportunity.
- 1990s– · Relative-age studies — Cutoff months bias “talent” Older children in the year get more coaching and look gifted.
- 2000s · Iten / Bekoji ethnographies — Place and labour Camps, altitude, running to school — systems, not essences.
- 1981– · AIS evaluations — National ID can raise medals and miss late bodies A policy machine with known false cuts.
- 1936–60 · Owens / Bikila as public facts — Racist stories fail on the track The corrective is not a new racial league table.
Mechanisms
- Sport-specific constraints — Height, lever, aerobic base — different files per event.
- Designed load — Periodisation as Ericsson-plus-physiology.
- Selection systems — Who stays in the academy after a growth spurt.
- Skill transfer limits — Why a “natural athlete” still has to learn a new sport’s grammar.
Evidence
Times, loads, injuries — hard data.
~18%.
Replicated in many codes.
Refused and confounded.
Sport-dependent, often overclaimed.
Debates
- Early specialisation versus sampling — Gymnastics ≠ football. One poster cannot serve both.
- Talent ID versus late developers — AIS-style camps cut children who have not yet grown.
- National medal tables as gene maps — Spend, altitude towns, and academies explain more than folklore.
Athletic talent: size the claim to the study. Interaction, not a 50/50 slogan, is the default model.
OriginsScienceSignsDevelopPracticeExemplarsMyths In this language region