Resolves to yes if I am able to make a spreadsheet that uses javascipt + web app stuff to automatically scrape my predictions on manifold, put them in catagories, and see where I am not calibrated
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@ian I understand people are unhappy with how i resolved this market. Here is some free money to show I am acting in good faith: https://manifold.markets/tessabarton/will-i-get-a-bikini-body-before-sum
@tessabarton Jus kidding, glad you got the calibration in! I’m a big fan of SG’s new experimental calibration chart at https://manifold.markets/tessabarton/calibration
@kitkatmarty It ended up being very easy!
import requests
response = requests.get('https://manifold.markets/api/v0/group/tesstgruppe')
j = response.json()
id_ = j['id']
print(id_)
response = requests.get(f'https://manifold.markets/api/v0/group/by-id/{id_}/markets')
lis = response.json()
output = []
for l in lis:
q = l['quesion']
with open('test_csv.csv', 'w+') as c:
c.writelines(output)
@69 basically different groups i put things in will be different categories. Look here is some free money: https://manifold.markets/tessabarton/will-i-get-a-bikini-body-before-sum