Lecture 1 · Mon 26 Oct · David Mann

Talent identification and development

What "talent" means, and why the best juniors are rarely the best adults.

≈ 105 min prep 09:00–10:45 MF-A307 Canvas page

Step 1

Guess first

Answer before you read. Guessing wrong is fine: a wrong guess makes the right answer stick better.

Guess 1guess

Think of all athletes who compete at international junior championships. Roughly how many of them later compete internationally as seniors?

Show the answer

Answer: C. About 18%: 82% of international juniors never reach that level as seniors. The other direction is just as striking: 72% of international seniors were never international juniors. Güllich et al. (2025) covers this.

Guess 2guess

Compare world-class senior athletes with athletes who peaked one level lower (national class). When they were young, the world-class athletes did…

Show the answer

Answer: A. More practice in other sports and less in their main sport, and they started later. Junior success shows the opposite pattern. This reversal is the core of Güllich et al. (2025).

Guess 3guess

Researchers interviewed ten elite running coaches and never said the word "talent" themselves. What do you expect the coaches did?

Show the answer

Answer: D. They used it unprompted and meant different things by it: raw versus trained talent, physical and psychological parts, obvious and hidden signs. Johnston & Baker (2022) covers this.

Step 2

Readings

For each reading: skim the summary, read the paper, then do the recall check without looking.

Review · Science · ≈ 40 min

Güllich et al. (2025): Recent discoveries on the acquisition of the highest levels of human performance

Güllich, A., Barth, M., Hambrick, D. Z., & Macnamara, B. N. (2025). Recent discoveries on the acquisition of the highest levels of human performance. Science, 390(6779), eadt7790.

On Canvas

In sport, science, chess and music, most of the very best adults were not the early stars, and they got there through broader, slower early development.

Question

Are early top performers and later world-class performers the same people? And does what predicts early success also predict world-class adult success?

Approach

A review pooling 19 datasets on 34,839 adult world-class performers: Olympic athletes, Nobel laureates, top chess players and famous composers. These are compared with 66 studies of young and sub-elite performers. Most data are meta-analyses of prospective studies (follow juniors forward) and retrospective ones (trace seniors back).

Findings

  • Mostly different people. International junior and senior athletes are about 90% different individuals. Chess: the under-14 world top 10 and the senior top 10 are also about 90% different.
  • The best started slower. World-class athletes performed below national-class peers in their early years. Chess world top-3 players were 62 Elo points lower at age 14 than players ranked 4–10, but 48 points higher at peak.
  • Predictors flip. Junior success goes with an earlier start, more main-sport practice and less practice in other sports. Senior world-class success goes with a later start and later milestones, less main-sport practice and more other sports (about 2 other sports over about 9 years). Effect sizes are d = 0.39–0.58 and similar across domains.
  • Not a statistical artifact. Regression to the mean would make scores less extreme over time; it cannot turn an association negative or reverse the predictors.

Conclusion

Programmes that select the best early performers and speed them up produce junior winners, often at the cost of world-class adults. Better early signs: above-average (not top) performance, considerable but not excessive specific practice, and real practice in other disciplines.

Limitations

  • Correlational and largely retrospective, so it cannot show that playing other sports causes later success. Late-maturing or broadly gifted children might simply sample more.
  • Some world-class samples are tiny (24 chess players).

Use it in class

  • Someone wants to select on junior rankings: about 90% of junior internationals are not the later senior internationals.
  • The case asks when to specialise: world-class athletes specialised later and played about 2 other sports.

Remember

  • About 90% different people; 82% of junior internationals don't make it as seniors; 72% of senior internationals weren't junior internationals.
  • Early stars are still 49× more likely than everyone else to reach international senior level. But they are under 1% of athletes, so more than 70% of senior internationals come from the other 99%.
  • Three explanations: search-and-match (sampling helps you find the discipline that suits you), enhanced learning capital (varied practice makes you a better learner), limited risks (less burnout, overuse injury and lost opportunities).

Recall check

Close the paper, answer in your head, then check.

Name the three hypotheses that explain why multidisciplinary practice predicts world-class performance.

Show answer

Search-and-match: trying several disciplines raises the odds of finding the one that suits you. Enhanced learning capital: varied practice makes you a more adaptable learner. Limited risks: less burnout, overuse injury and missed opportunities.

Did you get it?

Early stars are 49× more likely to reach international senior level than other athletes. Why are most senior internationals still not former early stars?

Show answer

Base rates. Fewer than 1% of athletes are early stars. The other 99% is so much bigger that, even with far lower odds, it supplies more than 70% of senior internationals.

Did you get it?

Why can't regression to the mean explain these findings?

Show answer

It only pulls extreme scores toward the average. It cannot make early performance negatively related to peak performance, or make the junior and senior predictors point in opposite directions.

Did you get it?

What does the review suggest selectors look for instead of top early performance?

Show answer

Above-average early performance, considerable but not excessive discipline-specific practice, and multidisciplinary practice (about 2 other disciplines). Judge programmes on long-term outcomes, not junior results.

Did you get it?

Quotes, numbers, disagreements, how you'll use it.

Qualitative case study · Journal of Expertise · ≈ 45 min

Johnston & Baker (2022): The complex and (sometimes) conflicting beliefs about talent

Johnston, K., & Baker, J. (2022). The complex and (sometimes) conflicting beliefs about talent: A case study of elite distance running coaches. Journal of Expertise, 5(1), 38–57.

On Canvas

Elite coaches use "talent" all the time and believe in it, but mean several different things by it. That makes it a shaky basis for selecting athletes.

Question

Do elite coaches use the word "talent", and what do they believe it is?

Approach

Semi-structured interviews with 10 elite Canadian distance-running coaches: all male, 24 years of coaching on average, 4 at Olympic level. The interviewer never said "talent", to see whether coaches used it unprompted. Inductive thematic analysis.

Findings

  • Coaches believe talent exists and called their best athletes "talented".
  • It comes in two forms: raw talent (≈ nature) and trained talent (≈ nurture).
  • It has physical and psychological parts.
  • It shows in obvious and less obvious ways.
  • They used gift and potential as if they meant the same thing.

Conclusion

Beliefs about talent are complex, depend on context and are sometimes inconsistent. Without a clear definition and reliable measurement, the word has little use for selection decisions.

Limitations

  • 10 coaches, all white men, all in one country; interviewed once.
  • Self-report: coaches may give socially desirable answers and recall recent athletes best.

Use it in class

  • Someone says a player "just has it": point to naturalness bias.
  • Choosing a model: the DMGT's split between gifts and talent fixes exactly the confusion these coaches show.

Remember

  • Naturalness bias (Tsay & Banaji, 2011, music): people say they value hard-working "strivers" but pick the "naturals" when choosing.
  • Mindset (Dweck): believing talent is fixed changes how coaches treat athletes and how athletes see themselves.
  • Gagné's DMGT: a gift is an untrained natural ability; talent is a developed skill.

Recall check

Close the paper, answer in your head, then check.

Why did the researchers avoid the word "talent" in their interview guide?

Show answer

To see whether coaches used it on their own and what they meant by it, without priming them.

Did you get it?

Which two forms of talent did the coaches describe, and how do they map onto nature and nurture?

Show answer

Raw talent ≈ nature (genetic, untrained); trained talent ≈ nurture (developed through training).

Did you get it?

What is naturalness bias, and why does it matter for talent identification?

Show answer

A preference for performers seen as naturally gifted over equally skilled hard workers, even when people say they value effort. Selectors may favour "raw talent" without realising it.

Did you get it?

Give two reasons to be careful generalising these findings.

Show answer

Only 10 coaches, all white men, all Canadian, interviewed once; self-report is open to social desirability and recall bias.

Did you get it?

Quotes, numbers, disagreements, how you'll use it.

Step 3

Check yourself

Retrieval practice: answer from memory first.

Question 1

A federation picks its under-14 national squad purely on current rankings. According to Güllich et al. (2025), what is the main risk?

Explanation

Answer: B. Early and later top performers are about 90% different people, and more than 70% of senior internationals were not early stars. Measurement error is tempting, but the review's point is that these are largely different populations, not that rankings are noisy.

Source: Güllich et al. (2025)

Question 2

Which pattern describes senior world-class athletes compared with senior national-class athletes?

Explanation

Answer: D. World-class seniors started later, reached milestones later, did less main-sport practice and more practice in other sports. The first option describes successful juniors, which is exactly the reversal the review highlights.

Source: Güllich et al. (2025), Fig. 3

Question 3

Chess players ranked world top 3 versus those ranked 4th–10th: how did they compare at age 14?

Explanation

Answer: A. The eventual top 3 were 62 points lower at 14 and 48 points higher at peak. The 48-point gap is the peak difference, not the age-14 one.

Source: Güllich et al. (2025)

Question 4

Which explanation says that varied practice in several disciplines makes you a more adaptable learner later on?

Explanation

Answer: C. Enhanced learning capital is about becoming a better learner. Search-and-match is about finding the discipline that suits you, and limited risks is about avoiding burnout, injury and lost opportunities.

Source: Güllich et al. (2025)

Question 5

Which finding fits Johnston & Baker's (2022) interviews with elite running coaches?

Explanation

Answer: B. Coaches used the word unprompted, believed it exists, split it into raw and trained forms and linked it to their best athletes. They did not agree on a single measurable definition.

Source: Johnston & Baker (2022)

Question 6

What most limits how far Johnston & Baker's findings generalise?

Explanation

Answer: A. A small, homogeneous sample from one country at one time point. The other options describe things the study did not do: it used open interviews with coaches and deliberately never defined talent.

Source: Johnston & Baker (2022)

Step 4

Lecture notes

Take notes during the lecture.

Key points, examples and anything the lecturer stressed.

What didn't add up? What would you ask David Mann?

Once the session is over

After class

Five minutes, right after the session, while it's fresh.

Which finding will you bring up in a discussion, and when?

Anything to look up or ask about before Case Study 1?

Sync your notes