Theyβd be able to own a home just fine if they chose the gut-*un*healthy juice for the next β¦ 15,000 days
11.02.2026 16:54 β π 0 π 0 π¬ 0 π 0@carstenhohnke.bsky.social
Having fun telling business stories w/ analytics. Lately capital markets and voice of the customer w/ #nlp #ml. Back in the day comp sci @umich, cog sci @mit, strategy @marsandco.
Theyβd be able to own a home just fine if they chose the gut-*un*healthy juice for the next β¦ 15,000 days
11.02.2026 16:54 β π 0 π 0 π¬ 0 π 0This is a great read with data and nuance. Although you had me at βno need for an employment-only districtβ. Does an βemployment-only districtβ really sound good to anyone? Ick. Thank you both for the time and effort to educate.
20.01.2025 20:38 β π 4 π 0 π¬ 0 π 0The book cover for 100 years of solitude
9/20
08.01.2025 01:24 β π 1 π 0 π¬ 0 π 0The book cover for what is it like to be a bat?
8/20
06.01.2025 22:19 β π 0 π 0 π¬ 1 π 0Youβve gotta tell us what kind of car it was. Then weβll know.
05.01.2025 17:20 β π 0 π 0 π¬ 1 π 0The book cover for fathers and sons
7/20
βThe cork has been drawn, and the wine must be drunk.β
The book cover of Enders game
6/20 (Please donβt watch the movie)
04.01.2025 21:39 β π 0 π 0 π¬ 1 π 0The book cover of the language instinct
5/20
03.01.2025 18:06 β π 0 π 0 π¬ 1 π 0The book cover for a deepness in the sky
4/20
01.01.2025 18:34 β π 0 π 0 π¬ 1 π 0The book cover for the clock of the Long now
3/20
31.12.2024 18:49 β π 0 π 0 π¬ 0 π 0The book cover of a Bend in the river by vs Naipaul
2/20
30.12.2024 22:08 β π 0 π 0 π¬ 0 π 0The cover of the book at play in the fields of the Lord
29.12.2024 22:38 β π 1 π 1 π¬ 4 π 0Dobermanβs are βvelcroβ dogsβtheyβll stick to you even when theyβre asleep.
13.12.2024 12:52 β π 4 π 0 π¬ 0 π 0my wife mashes up idioms. eg, 'she's not my people' + 'we're not cut from the same cloth' = 'she's not my cloth'. is that a thing other people do? or just my wonderfully quirky wife?
23.11.2024 16:52 β π 0 π 0 π¬ 0 π 0smells good in here
22.11.2024 00:29 β π 1 π 0 π¬ 0 π 1Letβs go data science people β¦ What variables do I check next to unravel this mystery? What analytical techniques should I use? #datascience #analytics #mortgage #cx
30.07.2024 16:45 β π 0 π 0 π¬ 0 π 0But the data below are all purchase borrowers. What accounted for the shift? Demographics? Average home price? Number of government (e.g., VA) vs conventional loans? Geographical region? Interest rates ...
30.07.2024 16:45 β π 0 π 0 π¬ 1 π 0Now youβd expect this result if you were looking at all borrowers and one group included more purchases than refinances. Purchase borrowers are about 50% first-time home buyers (67% for government loans) and rate recommendations as much more important than refinance borrowers ...
30.07.2024 16:45 β π 0 π 0 π¬ 1 π 0The data shows a significant increase in borrowersβ reliance on recommendationsβfrom real estate agents, friends, co-workers, etc.βwhen choosing an originator. As one might expect, the data also shows a significant decrease in the importance of their existing banking or mortgage lender experience ..
30.07.2024 16:45 β π 0 π 0 π¬ 1 π 0this monthβs release extends the data set through June of 2022. Nonetheless, itβs the first release in over 18 months so itβs important to look at how trends may have shifted.
Iβve been diving in, and let me tell you, there was a shift ...
What happened with home purchase behavior in the first half of 2022?
Just a few weeks ago, the federal government (FHFA and CFPB) released the latest set of data on the experience of getting a mortgage. The data lags β¦