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Mind Field 

Join me on a journey into the mysterious depths of the human psyche as I investigate the strange and surprising terrain of the Mind Field.




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Series cast summary:
Michael Stevens Michael Stevens ...  Himself - Host / ... 24 episodes, 2017-2019
Trin Miller ...  Scientist / ... 5 episodes, 2017


Join me on a journey into the mysterious depths of the human psyche as I investigate the strange and surprising terrain of the Mind Field.

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18 January 2017 (USA) See more »

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Absolutely worth the watch... with a little but
8 October 2018 | by julius-sander94See all my reviews

This show is for everyone who is interested in psychological concepts and experiments. It's full of all these famous experiments and concepts you might have heard of: the Milgram Experiment, the Stanford Prison Experiment, the Trolley Problem, the Bystander Effect, etc.

But Mind Field doesn't just show these experiments and explain the results. It also tries to do something new in each episode. This can be taking a psychological/philosophical concept and then make an experiment to see how people act in real life, when confronted with these problems and dilemmas. Or they take an already existing experiment and try to go a step further or approach a different angle.

To make sure the experiments are as good as possible and results are actually useful, Michael (the host) always consults with scientists and such before and during the experiments.

All this is absolutely great and you learn a lot about these topics even if you are familiar with the experiments.

BUT: There are some things about the way the show does (most of) the experiments that I didn't like or think could be done way better.

My first problem is how a lot of these experiments are designed: There are some voluntary participants who think they are about to do an experiment ablout one thing, but it's actually about something different and all the people around them are actors. There is always a good chance that the participants are aware of that possibility, because it isn't something shockingly new. A lot of famous experiments most people know work just like that. So you always have to wonder, if these people know what's up and just play along, which makes their data invalid. In addition a lot of the experiments are based on other experiments a lot of people know. So they might not anticipate anything unusual at first, but then see the pattern and remember this experiment they heard so much about.

This gets even worse, when Michael Stevens, a webshow host with 13 Mio subscribers pretends to be a scientist who directs a new experiment. If anyone who participates knows him, they must know that something is off.

My last problem is the number of participants in the experiments. Of course it is not possible for a web show to do an experiment with 1.000 people and then film the whole thing. But there are a lot of experiments where they take about 8 people and then pretend that this is enough for the results to be proof. I saw a podcast with Michael about the show and it seemed as if there is a lot of unused data that didn't make it into the final cut and that makes perfect sense, because otherwise these videos would go for hours without anything new. But if there were mir participants than we are shown, it would be nice to have some numbers. Even as a short text between to scenes. It would give these experiments a lot more credibility.

Nevertheless: It is an awesome show and I strongly recommend watching it. My review might sound like the show is unprofessional and stupid, but that is definitely not the case. It teaches you a lot about psychology and human behavior while always trying to find out something new by doing actual experiments that haven't been done before with real scientists to help and advise them. And the results make perfect sense and everyone who knows and loves Vsauce can probably imagine how great Michael explains these complex topics to an audience that doesn't know to much about it. I just think that such an awesome show could be improved by trying to eliminate these little weaknesses as good as possible.

And as always: Thanks for reading!

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