The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Alan Knott Craig no published score: only 2 usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕
2exchanges match
2on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q Alan, do you want to jump in here and maybe share a perspective on what you're seeing from a more systemic level working with governments across Africa, especially because I think what Najera brought up about the last mile is a really, really interesting point. Do you, what are some of the obstacles that you're seeing culturally as well as technically?

A I'll just give you an example. Uh, in, in a, in a South African township in a place like Shoshengoveri or Mamalodi, 70% of people, if they want to apply for a job, they need to get in a taxi, they need to go to the local community center, they look on a, on a board, they look for the jobs posted on the board, they write down the contact details for the job, they get in a taxi, they go to a printing shop, they print their CV, they get in a taxi, they go to the offices of the employer and they hand in their CV, and then they wait for somebody to get back to them. And that's, you know, that's, uh, between four or four and 10 dollars kind of cost and takes you a whole day. And that's something that, you know, a lot of people in the world haven't done for 20 years. So just to, you really have to go back to basics. You know, there's, we're not talking, there's no ubiquity of the internet for most people in Africa. The, we've, we've now got, uh, we were now involved with the deployment of the largest public free wifi network on the continent. And, uh, you know, we found there's some interesting behavioral stuff. First thing is that there's not a, uh, it's not a very big penetration of smart devices. So wifi enabled devices, or maybe, maybe not, maybe 50% of households in low income communities, but there's a big, uh, sharing behavior. So a lot of people are sharing devices. So it's, i…

AI assessment note: “not a very big penetration of smart devices... but there's a big sharing behavior”

Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q Alan, do you want to jump in here and maybe share a perspective on what you're seeing from a more systemic level working with governments across Africa, especially because I think what Najera brought up about the last mile is a really, really interesting point. Do you, what are some of the obstacles that you're seeing culturally as well as technically?

A I'll just give you an example. Uh, in, in a, in a South African township in a place like Shoshengoveri or Mamalodi, 70% of people, if they want to apply for a job, they need to get in a taxi, they need to go to the local community center, they look on a, on a board, they look for the jobs posted on the board, they write down the contact details for the job, they get in a taxi, they go to a printing shop, they print their CV, they get in a taxi, they go to the offices of the employer and they hand in their CV, and then they wait for somebody to get back to them. And that's, you know, that's, uh, between four or four and 10 dollars kind of cost and takes you a whole day. And that's something that, you know, a lot of people in the world haven't done for 20 years. So just to, you really have to go back to basics. You know, there's, we're not talking, there's no ubiquity of the internet for most people in Africa. The, we've, we've now got, uh, we were now involved with the deployment of the largest public free wifi network on the continent. And, uh, you know, we found there's some interesting behavioral stuff. First thing is that there's not a, uh, it's not a very big penetration of smart devices. So wifi enabled devices, or maybe, maybe not, maybe 50% of households in low income communities, but there's a big, uh, sharing behavior. So a lot of people are sharing devices. So it's, i…

AI assessment note: “there's no ubiquity of the internet for most people in Africa.”

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