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naraburns  nihil supernum  1yr ago (text post)   Edited 1yr ago   5996 thread views

Quality Contributions Report for January 2023

This is the Quality Contributions Roundup. It showcases interesting and well-written comments and posts from the period covered. If you want to get an idea of what this community is about or how we want you to participate, look no further (except the rules maybe--those might be important too).

As a reminder, you can nominate Quality Contributions by hitting the report button and selecting the "Actually A Quality Contribution!" option. Additionally, links to all of the roundups can be found in the wiki of /r/theThread which can be found here. For a list of other great community content, see here.

This month we have another special AAQC recognition for @drmanhattan16. This readthrough of Helen Joyce’s Trans: When Ideology Meets Reality garnered several AAQC nominations throughout the month:

Part 1 – The History of Transgenderism

Part 2 – The Causes and Rationalization of Transgenderism

Part 3 – How Transgenderism Harms Women And Children

Part 4 – How Transgenderism Took Over Institutions And How Some Women Are Fighting Back

Part 5 – Conclusion and Discussion

Now: on with the show!

Quality Contributions Outside the CW Thread

@gattsuru:

@Rov_Scam:

@OracleOutlook:

@popocatepetl:

@AmrikeeAkbar:

@urquan:

@Chrisprattalpharaptr:

@DaseindustriesLtd:

@erwgv3g34:

@ymeskhout:

@aiislove:

@faul_sname:

@throwaway20230125:

Contributions for the week of December 26, 2022

@FiveHourMarathon:

@dr_analog:

Contributions for the week of January 2, 2023

@FiveHourMarathon:

@Rov_Scam:

@JhanicManifold:

@screye:

@problem_redditor:

@veqq:

@daezor:

@LacklustreFriend:

Contributions for the week of January 9, 2023

@naraburns:

@huadpe:

@Stefferi:

@FCfromSSC:

@DaseindustriesLtd:

@Dean:

Contributions for the week of January 16, 2023

@Dean:

@ControlsFreak:

@Stefferi:

@DuplexFields:

@ymeskhout:

@strappingfrequent:

@doglatine:

Contributions for the week of January 23, 2023

@gattsuru:

@TracingWoodgrains:

@arjin_ferman:

@vorpa-glavo:

@Amadan:

Contributions for the week of January 30, 2023

@gattsuru:

@TracingWoodgrains:

@DaseindustriesLtd:

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I am not. We call it "random sampling" or "spot checking" in the professional context I inhabit (my role is dev / analyst (/ product manager / customer support / designer / qa / etc... can you tell I work at a small company?))

I do, in fact, do some fraud detection as part of my nebulously defined job responsibilities, though. For that my favorite heuristic is actually

  1. Pick a metric. Any metric. The stupider the metric sounds, the better. If you're running a marketplace, "fraction of orders with a positive subsequent review from the customer" is a good metric, but "average time from order to shipping label printed" might actually be better by virtue of not particularly sounding like it points at anything valuable.

  2. Rank all users by that metric.

  3. Take the bottom and top 5 users (with a substantial amount of account activity) by that metric.

  4. Most of those 10 users are probably trying to defraud you.

Ah, very cool. Sampling is a big part of auditing, as is directionality: vouching, for example, goes from final answer back to source documents, while tracing works the other way, from source to final, in order to verify existence and completeness respectively.

General auditing is directed more toward finding error than fraud, but forensic stuff interests me quite a bit.

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