Choking in Basketball

        “Choking” is a term used across many activities, with phrases like “I choked that exam” or “2018 Lebron choked in the finals” symbolizing the concept of losing. While often used as slang, the term also relates to the Yerkes-Dodson Hypothesis, which examines how stress levels affect performance. In high-stakes scenarios, an individual’s mentality can be significantly impacted. The hypothesis measures whether performance increases with higher stress or stimuli.
     Let’s put this in the context of basketball: a player’s performance is dependent on the situation. If the game is very close, then the players are playing very hard, and the performance rises exponentially. If the game is a blowout, then the starters are subbed out, and the performance of the players decreases dramatically. Often, performance is dependent on who the player is and the situation. There are exceptions, such as MVP candidates, generational talents, or consistent players. These players usually shine regardless of the situation, unless it is an off night. I believe that basketball is a consistent game that is dictated by the players’ performance, pace, and stake.
     The study that is being examined is the Yerkes-Dodson Hypothesis being applied to the NCAA. The study examines whether free throws are a good metric in proving the hypothesis to be valid for basketball games. In basketball, a free throw usually occurs when someone is about to shoot and is fouled or if a team is over a certain number of fouls. Players are usually allowed two free throw attempts, depending on other fouls, but these are usually easy points for teams to make. The study believes that free throws are one of the most effective ways of measuring pressure and skill (Blechner et al., 2025). Free throw attempts do dictate the game because they are used as a means of strategy. If a team is down in the second half, they usually start fouling in order to stop the clock and have more possessions to score, but that comes with the tradeoff of a higher deficit to overcome. Contributing to pressure and skill free throws dictate the pacing and shooting skill. Good shooters and clutch players usually score free throws to help their teams win. However, I do not believe that this study accurately represents the hypothesis due to a lack of data and empirical evidence.
     Often, basketball games are reflected based on the consistency of players, the pace of the game, and the stakes. The study only measures free-throw averages to assume the hypothesis is true. However, no variables about pace, stakes, and pressure were ever recorded. Yes, I do believe that these types of variables are hard to grasp, but I would do this study differently. The researchers sampled data for the 2021 to 2022 college basketball season, which I think is good, but the way the data was used is what I don’t agree with. I think there should be variables of pace, pressure, and stakes. Pace being if the teams play on a high pace style, if there were points scored based on turnovers, or if there were points scored quickly. Another being pressure, being how the player is playing in the environment they are in. This can be measuring performances in home games vs away games, rivalry games, or anything that can cause a player to play differently. Lastly, in college, players often play to make the NBA, and draft placement is often dictated by how well they compete throughout their college careers.
     Other citations also help with what I am saying about external factors. Offensive skill, defensive effort, and plays are all factors in how the game is played. If we don’t measure those, then we are leaving crucial data. This is all skill and player dependent, players under defensive pressure often have to change performance being release mechanics, positioning, or style of plays (Li et al., 2024). These factors set the game not just free throws; they are a factor, so measuring them is vital. The study doesn’t further capture all the components of basketball, skewing the data.
     Overall, the playstyle of college basketball could not sufficiently answer the Yerkes-Dodson Hypothesis, but I believe that the overall study wasn’t done correctly. I believe that free throws are not enough information to determine the accuracy of the hypothesis. I say sufficient, as it could determine the pace and pressure of the game, affecting the playstyle, but it is not enough to prove the hypothesis. I think if time, quarter, pace, score, and other metrics were there, then the study could be more accurate. Think about the study when the model is based upon all metrics of the game, then it can accurately represent the proper values that can equate to the hypothesis’s validity.
     In the end, the Yerkes-Dodson Hypothesis has the ideology that as mental stress occurs, the performance of an individual will exponentially rise. This study does accurately introduce it, but the way the study took place was not truly accurate. Lack of other variables led the study to be more generalized than factual. However, if there were more variables to train the model upon, then it would perhaps give a better answer for the Yerkes-Dodson Hypothesis. In the end, the Yerkes-Dodson Hypothesis can be proven with basketball if all metrics were accounted for. 

References

Blechner, D., Grove, W., Lantis, R., Nesson, E., & Sanders, S. (2025). Does Pressure Affect Performance? An Evaluation of the Yerkes–Dodson Hypothesis with NCAA Basketball Performance and a Continuous Measure of Pressure to Win. American Behavioral Scientist, 00027642251366046.

Li, F., Dukarić, V., Očić, M., Li, Z., & Knjaz, D. (2024). Influence of fatigue and defensive pressure on three-point jump-shot kinematics in basketball. Applied Sciences, 14(20), 9582.

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  Timothy Durham was convicted of rape when a test showed his DNA genotype matched the DNA recovered from the crime scene. Eye witnesses testified that Durham was in a different state at the time of the incident, but he wasn’t exonerated from his 3000 year sentence until follow up DNA analysis showed that the preliminary forensic analysis used in the trial was misinterpreted (Thomas et al.). DNA testing serves an invaluable part in our criminal justice system, but it comes with complications and bias that can lead to wrongful convictions and misinformed juries.  

Background:

Forensic genetics aims to identify the origin of a biological sample. It can be traced back to Karl Landsteiner who discovered human ABO blood groups. With blood groups, suspects could be eliminated based on their blood type. For example, if a suspect had type A blood and there was type B blood left at the scene by the perpetrator, the investigators could rule out the suspect. Unfortunately, the reverse didn’t work. If the suspect and perpetrator both had the same blood type, it can’t be concluded that the suspect was guilty. Blood identifiers evolved into 8 distinct categories which improved the ability to eliminate suspects, but could only conclude that (if the system matched) it might be the perpetrator or this person might be related to the perpetrator (Jobling and Gill). The field evolved in the 1980s with the discovery of Minisatellites, lines of repetitive DNA that don’t encode proteins. Minisatellite patterns in DNA create what we know today as the DNA fingerprint, and it has a much higher accuracy rate than previous methods (Augustyn et al.). Around the same time, a breakthrough for victims of sexual assault was discovered. In the case of assault, bodily fluids of both the victim and the assaulter can get mixed. A process called differential lysis was created which could selectively increase the concentration of sperm in a fluid sample thereby allowing for accurate DNA testing (Jobling and Gill). Forensics evolved to use single-locus probe testing after several years because of its ease of interpretation. It looked at specific minisatellites that had high variability between subjects. This was the first DNA-based method to be used in a criminal investigation. Two murder homicides from several years apart were connected using DNA evidence. The evidence was then used to exonerate an innocent man, and the guilty party was found when he tried to evade mandatory DNA testing for all men in the small town. His guilt was then reinforced when the DNA profiles matched, and he gave a confession (Jobling and Gill). Finding DNA at a crime scene doesn’t guarantee that you’ll find a murderer. There are issues with non-pure samples and limited samples that make DNA work difficult, and accreditation of facilities and new techniques and take time (Jobling and Gill).  

Subjectivity of DNA Interpretation:

In a 2009 publication, the National Academy of Science discusses the possibility for subjective influence in lab based forensics. The interpretation bias happens in complex cases where, for example, there could be a mixture of DNA. A study published in 2011 looked specifically at this issue. A gang rape happened in Georgia, and the mixture in DNA from the case was used to prosecute one suspect after another suspect took a plea bargain to testify against him. With DNA mixtures, there are three possible conclusions: suspect excluded, suspect cannot be excluded, and inconclusive. If the suspect is excluded, it means that there’s little to no possibility that his DNA is part of the sample. If the suspect cannot be excluded, it means that there’s a possibility that his DNA is part of the sample. In the trial, the DNA examiners who knew the context of the case concluded that the suspect being prosecuted could not be excluded. The 2011 study gave the DNA evidence from this case and the DNA profiles of the suspects to 17 forensic examiners. These examiners had no context of the case, and they all worked independently. Of the 17, only 1 came to the same conclusion (suspect cannot be excluded) as the examiners who knew the context of the case. Twelve of the 17 concluded that the suspect who was prosecuted and convicted had no relation to the DNA found in the sample. Not only does this show that subjectivity occurs due to the context of the case, but the 17 examiners came up with different findings based on their past experiences meaning that not all DNA analysis is objective. Some organizations like the Scientific Working Group on DNA Analysis Methods say that quantitative statistical evidence should be presented with every categorical conclusion, but the US doesn’t require this (Dror and Hampikian).

False Positives:

There are two categories that cause wrongful identification in a DNA report: coincidental matches and false positives. Coincidental matches are DNA matches between two unrelated people. The probability of these matches is about 1 to 500,000 for white individuals and about 1 to 350,000 for black individuals. This small probability of coincidental matches makes people feel confident in DNA evidence. False positives, on the other hand, are matches between DNA and test DNA that result from issues in the forensics lab. There have been multiple cases of forensics labs accidentally switching victim and suspected rapist DNA which lead to convictions that were later overturned when the lab realized the error. There are also cases of misreading or misunderstanding a sample. In a case from 1993, a man was convicted of rape because someone interpreted a mixed sample of victim and perpetrator DNA as an individual sample. The conviction was again overturned. To prevent false convictions, retesting DNA is allowed, but it’s not an efficient solution. Many people are pushing for statistical information on the probability of false positives, so that the jurors can make accurate judgements based on DNA evidence (Thomas et al.).  

Conclusion:

DNA analysis is a useful tool for the criminal justice system, but subjectivity can be an issue in forensic testing. To combat wrongful convictions, there are organizations like The Innocence Project who use DNA testing to free the innocent, but reformed forensic testing standards should be put in place to prevent subjectivity and to ensure juries are correctly informed during trials. https://www.innocenceproject.org/    

Citation:

Augustyn , Adam, et al. “DNA Finerprinting.” Encyclopedia Britannica , 26 Apr. 2018, www.britannica.com/science/DNA-fingerprinting#ref153186. Dror, Itiel E., and Greg Hampikian. “Subjectivity and Bias in Forensic DNA Mixture Interpretation.” Science & Justice, vol. 51, no. 4, 2011, pp. 204–208., doi:10.1016/j.scijus.2011.08.004. Jobling, Mark A., and Peter Gill. “Encoded Evidence: DNA in Forensic Analysis.” Nature Reviews: Genetics, vol. 5, no. 10, Oct. 2004, pp. 739–751., doi:10.1038/nrg1455. Thompson, William C, et al. “How the Probability of a False Positive Affects the Value of DNA Evidence.” Journal of Forensic Sciences, vol. 48, no. 1, Jan. 2003, pp. 1–8., doi:10.1520/jfs2001171.