Or a ref that is just intimidated by a large baying crowd, or a Manager that will do his best to ruin the reputation of the ref, hi Jurgen and will cause such a stink, that said ref will be demoted to the first division.
THE COMMON SUBCONSCIOUS BIASES FOR REFEREES
The Crowd Effect
An
interesting study showed that referees who watched a match back on the TV in silence made less favourable home decisions than compared to when they watched matches where they could hear the home crowd’s reaction. This shows that the atmosphere created by the crowd can influence a referee’s decisions.
This bias increases largely when there is
no running track in the stadium and the crowd is closer to the pitch. For example, grounds like Old Trafford and Goodison Park can make referees more prone to this effect, as opposed to West Ham’s stadium.
The atmosphere may change a referee’s
emotional response to a situation and thus subconsciously challenge their decision. It seems then that making decisions in isolation (like referees working at
Stockley park do) may reduce the likelihood of this bias. For the time being, if you want to help your team as a supporter, here’s our guide to
what football crowds should do.
The Home Advantage Effect
Interestingly, home teams tend to receive less yellow and red cards and have
more added time when they are losing. Apart from football, in sports like
boxing or events like the
summer and
winter Olympics where judges make subjective decisions about performances, home advantage can also be observed.
Importantly, research has shown that, since the addition of the
additional referees (5th and 6th refs) in European football in the 2009- 2010 season, less biased decisions have been documented. This suggests that the addition of VAR might help reduce this cognitive bias for our referees. Aside from the referee’s decision,
home advantage has also been shown to impact team performance.
The Player Body Type Phenomenon
A
recent study investigated referees’ biases linked to players’ body type – and there were some fascinating results:
- Those who were assumed to have committed fouls were on average taller than the fouled player.
- When there is an unclear foul/ tackle situation, referees are more likely to attribute the foul to the taller player.
- When smaller players go to ground, people tend to attribute it to a foul. However, when tall players go to ground, people tend to attribute it to a non-foul context.
We think this is another great example of where VAR will help referees make better decisions, without the influence of their subconscious bias about players’ body type.
The ‘Dirty Team’ Effect
When experts have to make quick decisions, they mostly rely on previous experiences and knowledge. If this is the case, do referees rely on their previous thoughts about a team rather than what is actually happening in front of them?
Interestingly,
research has shown that referees who had been told that a team had an aggressive history were more likely to penalise them for fouls and responded to tackles differently than other referees who had not been given the team’s background. It’s incredibly difficult to minimise this type of bias, as we all use our memory to help form decisions. However, with the use of objective measure such as VAR to make decisions about fouls, this bias should be reduced.
A National Bias?
Although no referee squad and team are from the same country, often there are times when individual players are from the same country as the referee or assistants. This is the building blocks of own nationality bias.
Researchers tracked referee assignments over 12 seasons in the Champions League and found that, when a player is the same nationality as the official, the number of beneficial calls given to them was increased by 10% and even up to 15-20% in some cases for national team members during later stages of international tournaments. Although this doesn’t happen on purpose, it appears that if an official is judging a player from their country they are more lenient towards them. This of course is easily amended with objective decision-making methods such as VAR.