On the first day of class, Professor Bazerman announces a game that seems innocuous enough. Waving a twenty-dollar bill in the air, he offers it up for auction.
How even after knowing everything about your work, a series of emotional judgments can place you in a difficult situation.
A thread on how loss Aversion causes us to take irrational decisions-
On the first day of class, Professor Bazerman announces a game that seems innocuous enough. Waving a twenty-dollar bill in the air, he offers it up for auction.
The winner of the auction, of course, wins the bill. But the runner-up must still honor his or her bid,
In other words,this is a situation where second best finishes last. Indeed, at the beginning of the auction, as people sniff out an opportunity to get a $20 bill for a bargain, the hands quickly shoot up, and the auction is officially under way
There is a collective hard swallow. As if sensing the floodwaters rising, the students get jittery.
Without realizing it, the two students with the highest bids get locked in. "One bidder has bid $16 and the other has bid $ 17," Bazerman said.
Up to this point the students were looking to make a quick dollar; now neither one wants to be the sucker who paid good money for nothing.
Like a runaway train, the auction continues, with the bidding going up past $ 18, $19, and $20.
"Of course," reflected Bazerman, "the rest of the group roars with laughter when the bidding goes over $20."
But that's easier said than done. Students are pulled by both the momentum of the auction and the looming loss
The two forces, in turn, feed off each other: commitment to a chosen path inspires additional bids, driving the price up, making the potential loss loom even larger.
Over the years that Bazerman has conducted the experiment, he has never lost a penny (he donates all proceeds to charity).
This example was from the book, Sway.
When you Buy something at 100 , it goes to 110 and you didn’t sell, when it comes back to 105 you cant sell,and then you sell it way lower. because you felt again it will go up.
Traders feel loss 2X the emotions we feel when we are in profits.
How to avoid loss aversion bias-
1. Think of long term instead of short term results.
More from Trader knight
More from Trading
You May Also Like
Keep dwelling on this:
Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK
In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa
Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK
In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa
Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
To people who are under the impression that you can get rich quickly by working on an app, here are the stats for https://t.co/az8F12pf02
📈 ~12000 vistis
☑️ 109 transactions
💰 353€ profit (285 after tax)
I have spent 1.5 months on this app. You can make more $ in 2 days.
🤷♂️
I'm still happy that I launched a paid app bcs it involved extra work:
- backend for processing payments (+ permissions, webhooks, etc)
- integration with payment processor
- UI for license activation in Electron
- machine activation limit
- autoupdates
- mailgun emails
etc.
These things seemed super scary at first. I always thought it was way too much work and something would break. But I'm glad I persisted. So far the only problem I have is that mailgun is not delivering the license keys to certain domains like https://t.co/6Bqn0FUYXo etc. 👌
omg I just realized that me . com is an Apple domain, of course something wouldn't work with these dicks
📈 ~12000 vistis
☑️ 109 transactions
💰 353€ profit (285 after tax)
I have spent 1.5 months on this app. You can make more $ in 2 days.
🤷♂️
I'm still happy that I launched a paid app bcs it involved extra work:
- backend for processing payments (+ permissions, webhooks, etc)
- integration with payment processor
- UI for license activation in Electron
- machine activation limit
- autoupdates
- mailgun emails
etc.
These things seemed super scary at first. I always thought it was way too much work and something would break. But I'm glad I persisted. So far the only problem I have is that mailgun is not delivering the license keys to certain domains like https://t.co/6Bqn0FUYXo etc. 👌
omg I just realized that me . com is an Apple domain, of course something wouldn't work with these dicks
1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.