The Tinder Swindler (Part 2) on today’s episode of The Good Mood Clinic Podcast!
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Today, we continue with our two-part series on the Netflix production, The Tinder Swindler.
In the first part, we spoke about the schemas and modes of the scammer in the movie. He is a con artist who meets women on Tinder and then persuades them to lend him vast sums of money.
In the second part, we focus on the women, or the victims, in The Tinder Swindler. We look at victim-blaming and unpack why people on social media tended to blame the women in the movie and we also discuss some other types of love scams exposed in the media, examine the findings of various social studies and experiments, and talk about cat-fishing- all of which are related.
Victim blaming has been going on in our society for a long time. Stay tuned to learn what it is and why it tends to happen.
- Why are the women in the movie so viciously attacked by men and women alike on social media after the movie came out?
- What is victim-blaming?
- Some of the main reasons people are inclined to blame the victim of a crime.
- Gemma explains what the just-world hypothesis, or the just-world fallacy, is all about.
- Why do humans tend to trust others?
- Why the first woman in the movie, Pernilla, quickly becomes infatuated with the con artist and handed her money over to him.
- What is the truth default?
- Social media leads to social proof. That can lead to people being conned or taken advantage of.
- How do schemas and unmet needs put people at greater risk of becoming victims of scams or con artists?
- How do schemas lead people to abandon their boundaries and hang onto dubious relationships for too long?
- The schemas that make people vulnerable to being targeted by narcissistic individuals
- Some stories about women being love-scammed by manipulative men in the Australian series, Fake.
- Inconsistencies and regular absences are obvious red flags.
- Cat-fishing is no joke! Justine explains what it is and shares her experience of it.
- Some tips to help you avoid getting cat-fished ⚠️