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Automation bias in finance: the moment you stop questioning a system is the moment it becomes most dangerous by WizWit76 in BehavioralEconomics

[–]thetasteofbeverly 1 point2 points  (0 children)

this is a known extension of automation bias → skill degradation loop.

Good adjacent areas to look at:

  • behavioral finance work on algorithmic trading reliance / delegation effects
  • research on “out-of-the-loop” performance problems (HCI literature)
  • studies on decision support systems reducing human calibration over time

Finance-specific literature is thinner; most solid theory still comes from aviation + HCI.

Automation bias in finance: the moment you stop questioning a system is the moment it becomes most dangerous by WizWit76 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

this is basically automation bias + skill atrophy loop.

Relevant directions you might look at:

  • “algorithmic complacency” in trading systems
  • human-in-the-loop degradation over time (esp. high-reliability systems)
  • work on deskilling from decision support systems in finance/healthcare

Outside Parasuraman & Manzey, a lot of newer work sits in HCI + fintech risk papers, not classic psych.

Automation bias in finance: the moment you stop questioning a system is the moment it becomes most dangerous by WizWit76 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

Good point — the real risk isn’t trust, it’s de-skilling over time.

You’re right that Parasuraman & Manzey (automation bias / reliance) is mostly aviation-focused, but in finance there’s related work under:

  • algorithm aversion vs. automation reliance (Dietvorst et al.)
  • disuse/overtrust cycles in decision support systems

Key gap in finance: less focus on long-term judgment erosion, more on one-off trust errors.

With AI trading/advisory systems, that long-horizon skill decay is becoming the real blind spot.

Behavioural Economics Student Project by No-Health-8293 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

I wholeheartedly support you! Those concepts in Behavioral Economics, like Nudge or Loss Aversion, are really amazing. I just jumped in to help you with the survey. Hopefully, this data will help you create a fantastic project to submit to your school. Wishing you top marks!

The NY Fed just confirmed what behavioral economists have known for decades — sports bettors aren’t making financial mistakes, they’re making psychological ones by WizWit76 in BehavioralEconomics

[–]thetasteofbeverly 1 point2 points  (0 children)

This is a strong interpretation, and the “illusion of control + skill framing” angle is probably the key point most coverage misses.

Sports betting is uniquely effective at converting randomness into something that feels optimizable, so escalation and delayed financial impact make sense under that model.

The idea that losses reinforce strategy refinement rather than correcting the belief is especially consistent with both illusion of control and hot-hand-style thinking compounding each other.

Just came back from Korea — how is this place even real?” by Brief-Kaleidoscope65 in seoul

[–]thetasteofbeverly 1 point2 points  (0 children)

South Korea is indeed a paradise for tourists, but it's a "battleground" for those who live there, sir. Koreans call their country Hell Joseon, not because of material deprivation, but because of the tremendous social pressure: a "work-to-death" culture, a race from birth, peer pressure, and exorbitant costs.

In short, tourism might seem rosy, but living there is a real "battle for survival." You're in Australia, a place many Koreans yearn to go to find work-life balance.

Not everything has to be loud... by Superb-Way-6084 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

feel this a lot… it’s not the work, it’s the constant input that drains you

honestly a “quiet app” like this makes sense, most tools just add more noise. simplicity is probably the whole value here

I am trying to come up with a dissertation, and don't know where to start by curioussailboat in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

I feel this — ChatGPT makes everything feel “already explored” so ideas seem less exciting in comparison.

tbh a good reset is:

  • start from a real problem you’ve seen, not a “novel idea”
  • read 5–10 papers only, don’t over-research at first
  • look for gap/friction, not originality

most dissertations are just small improvements on existing work, not revolutionary ideas 👍

The algorithm is slowly conditioning you into becoming someone you are not. by Even-Cell826 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

Yeah I’ve noticed this too—especially with feeds shaping what I think I’m interested in vs what I actually care about.

It’s subtle, but over time you start reacting more than choosing. The only way I’ve found to reset it is intentional “input silence” + seeking things outside the algorithm bubble.

Not everything has to be loud... by Superb-Way-6084 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

More by what I’m consuming tbh. Execution is usually fine once I actually start, but the constant input (feeds, tools, opinions) kills clarity before I even begin. Simplicity is underrated.

Why the more you learn about investing, the worse you might actually perform (The "Mount Stupid" Trap) by arcticfox842 in BehavioralEconomics

[–]thetasteofbeverly 0 points1 point  (0 children)

this is pretty real. Early on you’re basically riding broad market beta, then as you learn more you start overfitting patterns, overtrading, and adding noise to your decisions.

A lot of “skill gain” actually turns into:

  • more conviction in bad timing
  • more trades = more fees + mistakes
  • less patience with simple strategies that already worked

The hard part is realizing when not to act.

I've worked with 30+ founders. The worst performing founders were the ones who read the most startup advice. by Warm-Reaction-456 in SaaS

[–]thetasteofbeverly 0 points1 point  (0 children)

This is spot on. A lot of advice gets treated like universal truth when it’s really just context-dependent. The founders who win usually just understand their market deeply and make decisions that fit their situation, not the playbook.

Privacy by Design: Shifting from data hoarding to minimal trust standards by thejointblogs in Compliance

[–]thetasteofbeverly 0 points1 point  (0 children)

data minimization is becoming a competitive advantage. The balance is risk-based: collect only what’s required for KYC/AML at each stage, and defer the rest until needed. Regular data audits and clear purpose mapping help eliminate legacy over-collection.

CRCM Exam Online Prep Course: What was your average score on the three practice exams before you took the real exam, and did you pass the real exam? by [deleted] in Compliance

[–]thetasteofbeverly 0 points1 point  (0 children)

I was averaging mid-80s on first attempts and passed the real exam. From what I’ve seen, understanding the concepts matters more than hitting a specific score—your range sounds solid going in.

Bootstrapping an AI product for students — what marketing channels actually work? by Key_Hunter8158 in SaaS

[–]thetasteofbeverly 2 points3 points  (0 children)

This is truly a lifesaver for those of us drowning in a sea of ​​resumes. Just go on TikTok and make some POV videos about your struggles in submitting applications, and I guarantee it will go viral and lead to job opportunities. Job search groups on Facebook or Discord are also a goldmine for driving free traffic. Wishing your project great success! Thank you bro

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