[HN Gopher] A graphical analysis of women's tops sold on Goodwil... ___________________________________________________________________ A graphical analysis of women's tops sold on Goodwill's website Author : jjmccoolguy Score : 328 points Date : 2020-07-08 11:41 UTC (11 hours ago) (HTM) web link (goodwill.awardwinninghuman.com) (TXT) w3m dump (goodwill.awardwinninghuman.com) | dev_tty01 wrote: | The "Number of Women's Tops Over Time" graph may be partially | showing the Marie Kondo effect. | joering2 wrote: | Please do not donate to GoodWill. Altho their mission is good, | its all hard core capitalism from there. Just Google "Goodwill | owner house" to see his multi million dollar mansions all over | USA. He was caught giving himself $250,000 raise while battling | employees for disability claims worth pennies to the company. If | you have clothes to donate, meet any homeless person they will | get most from you or tell you where to go to give it all out to | other homeless people. | peterwwillis wrote: | For those who don't know, reading the product descriptions on | shopgoodwill.com listings can be downright comical. They're | written by random employees of random Goodwill stores, of items | which they may not understand or have a very pointed opinion | about. If you're really bored it can be a goldmine of mild | entertainment. | | It's sad that they revamped their website. It used to look like a | 1990's e-Cart website, which was so wonderfully functional and | compact. Back to 2010's "endlessly scrolling through giant type | faces and no content" design... | granshaw wrote: | No kidding, from the frontpage: | | HOLY CANNOLI !! 100 Charms 925 Ultimate Bracelet | | __THIS IS THE FINAL BRACELET YOU HAVE TO FACE AFTER DEFEATING | ALL OTHER PUNY BRACELETS - "BOSS BRACELET" | IncandesParsnip wrote: | This was weirdly fascinating for a topic I've never been curious | about. | m3at wrote: | I am not versed into fashion or thrift stores, but the author | managed to make it interesting. I appreciate the attention to | details, the quality of visualisations and transparency about | data acquisition (isn't scrapping 50% of data science?). Good | read, thanks! | ThrowawayQz42x wrote: | Neat! This may be a dumb question, but OP, have you been scraping | price data since 2014, or are all those old listings still around | on the site? | jjmccoolguy wrote: | Sorry, I was just vague. I scraped data for old listings around | the site which seemed to go back to around 2014ish. Most data I | collected last summer and over Christmas, and then it sat | around for a long time. | aasasd wrote: | I can't make sense of 'Price relative to state average'. That's | relative inside each state, right? But how can things in | Carolina, Florida, Texas and West Virginia always cost more than | the average? | | Meanwhile, 'Price relative to overall average' is all white due | to one point in 2019 in Missouri at 245 bucks. But how many of | those 245-bucks items were sold that they aren't absorbed by the | overall average? | | Also, since Pennsylvania apparently dominates 2018-19, perhaps it | skews overall data considerably. | jjmccoolguy wrote: | You make some good points, I made some bad choices. To address: | > Yes, I meant relative inside each state but phrased it poorly | > With median price, I probably should have limited it to | periods and states selling more than x items > And, yeah, | Pennsylvania, and in particular the seller labelled "Goodwill | Industries of North Central PA, Inc." dominates the market and | should maybe have been excluded. I thought I'd get away with | this by doing inner-state comparisons but it's still unideal | dec0dedab0de wrote: | shopgoodwill has a weird way of doing shipping and handling. I'm | assuming that is not included in these results, because I didn't | see it mentioned. | | The last time I used the site many of the stores would set high | handling prices, which basically acted as a starting bid. I did | notice that some stores started to lower their handling price, if | that caught on it could account for some of the changes. The | handling price is directly related to how much people are willing | to bid on a price. Shipping is also be a factor, but would be | harder to gather the data as it is based on the destination. | magicnubs wrote: | > There's still a high number of items from various in-house | brands from Florida department store Bealls (namely Coral Bay, | Reel Legends, and Dept 222) | | Looking at the chart, it appears these 3 brands were all in the | top 4 most commonly sold (or at least available for sale) brands | at Goodwill in by 2019, and they've been in the top 10 or so for | years. I can't imagine organic amounts of resale from a Florida- | only department store chain could account for this. So is Bealls | just straight selling their old stock to Goodwill for cheap? Or | maybe even giving it away as a write-off (and to reduce cost to | store items they don't think they'll ever be able to sell). I | wonder how much of Goodwill's stock actually comes from things | like this, as opposed to houseful donations. | bluntfang wrote: | >I wonder how much of Goodwill's stock actually comes from | things like this, as opposed to houseful donations. | | Anecdata. I worked at a goodwill in the early 2000s for | community service. A lot of people donate soiled rubbish | disguised as clothing that goes to landfill. I would have no | doubt that Goodwill has partnerships with department | stores...or else they wouldn't have anything to sell. | megablast wrote: | Most people do not. | jjmccoolguy wrote: | There's some (easy) analysis to be done to look at if these | brands are coming only from only one or two Goodwill sellers, | which could help us better form a theory. I might take a look | after work. Even then, I didn't want to go too far down that | particular rabbit hole since understanding might (shudder) | require me to get off the internet and call someone or | something. | magicnubs wrote: | I liked the visualizations a lot by the way. Maybe you | mentioned in the write-up and I missed it, but what did you | use to make them? Checked the skills listed on your CV but | didn't see any not-static visualization tools listed | jjmccoolguy wrote: | Thank you! I used d3.js, my first love. | skellera wrote: | I just went to Goodwill last weekend. They seemed to have more | "new" items than I remembered. I assume it's cheap overstock | that's donated vs marked down. | josephmosby wrote: | Fun hypothesis: a giant Florida Goodwill moved into an old | Bealls in 2019. Bealls may have run a cost-benefit analysis and | said "you know what, it's actually cheaper for us to sell all | this old merch to Goodwill at a discount than for us to move it | to the new store." | | https://www.willmeng.com/goodwill-store-moving-to-shopping-c... | Joe8Bit wrote: | Had limited experience of this while doing strategy work for a | large UK fasion retailer. | | A significant proportion of items from a new range had been | returned as faulty. When they investigated they realised a new | factory they were using for this range had slipped a huge | amount of bad items through the reatilers QA process. They | ended up writing down the whole line and donating it to | Oxfam/Redcross to be sold in their charity shops, very similar | to Goodwill. It was 100,000's of items. | | They were already writing the goods down as a loss against | their balance sheet and they managed to recoup a _small | percentage_ of that loss as a tax deduction for the charity | donation. | | It didn't happen often, but it wasn't the first time they'd | done it | throwaway0a5e wrote: | I wonder if any of the price increase OP noticed is from | liquidation retailers (both brick and mortar and online) | buying and reselling a greater fraction of these runs of | "faulty" items since that lets them recapture a greater | percentage of what would be a loss. | Joe8Bit wrote: | FWIW this is also a relaitvley common practice for | administrators when dealing with bankrupt companies. Donating | goods they can't sell is often cheaper than storing them or | paying for them to be disposed of! | lozaning wrote: | Being wrote off an entire 787 Dreamliner and donated it to | the Pima Air And Space museum. It was going to cost to much | to fix and have recertified after it went through testing, | so they gave the whole thing away. | frandroid wrote: | Possibly the second largest donated item ever, after the | aircraft carrier Russia "donated" to India (I think it | was in need of $2B worth of repairs...) | oh_sigh wrote: | The family that started the Patagonia brand donated 1600 | mi^2 of land to Chile to form a national park. That's way | bigger than a boat(and probably cheaper to maintain too)! | wincy wrote: | If you try to return a mattress you bought online this | happens too. They'll have a truck from the Salvation Army | stop by. Small write off I suppose. I "returned" an Amazon | mattress but my wife didn't like it, and because of COVID | they just refunded the money and told me I could keep it. I | don't know what I'm gonna do with this extra king sized | mattress though, guess I'll make a rather luxurious guest | bedroom. | PsylentKnight wrote: | Bealls is based in Florida, it is not Florida-only. | Spooky23 wrote: | Goodwill does alot of deals with retailers for excess inventory | and reshopped returns. Target used to use them, for example. | | This is what TJ Maxx/Marshalls used to do. The market is pretty | diverse for this type of thing. There's a whole industry around | it. | asdff wrote: | Walk into a goodwill, and your answer will be obvious. Plenty | of things are sold packaged and new in goodwill. Usually it's | things like homegoods, in my experience. | ggggtez wrote: | Yes, stores often sell excess stock to goodwill. | hownottowrite wrote: | Why is the title "weirdly detailed"? Apparel, especially women's | apparel, is a massive market segment. Even if they're only | talking about thrift stores it's an important economic subject. | rpiguy wrote: | Titled like clickbait. "You won't believe what analysis of | Goodwill women's tops sales reveals" | mcphage wrote: | This article is very much not clickbait. | throwaway9980 wrote: | I think it's a bit of clickbait. My very initial impression was | that this was going to be a strange sexualized analysis of how | women of varying body types would look in tops sold by | Goodwill. That was followed by "but that's insane and this is | on HN, it must be charts and graphs, hmm, better to click to | confirm." | Zenbit_UX wrote: | Agreed on clickbait, I thought it would be some near pervy | analysis of how the tops made some guy feel.. | jjgreen wrote: | ... so you clicked on it ... | jjmccoolguy wrote: | That sounds like a better article. | elicash wrote: | It wasn't the original title, but this is explained in the | closing sentence: | | > Hopefully, though, they'll see this content as it's intended | to be seen: As a very weird love letter to thrifting from a | very weird person. | | So, the author is admitting they are weird for doing such an | unsolicited analysis. But weird in a good way. | pessimizer wrote: | Something can be both a not normal thing to do and a wonderful | or useful thing to do. | OJFord wrote: | I think it means 'weirdly' as in 'obsessively', or 'nerding out | over'. | jjmccoolguy wrote: | I do love all this conjecture on the titling (and your comment | that women's clothing is an important subject helps me feel a | bit validated in my time spent on this). I categorize it as | weird because it's quite niche, there's no actual call to | action or news story, and I spent waaaaay too much time on it. | hownottowrite wrote: | Ha! I thought as much. | | Women's apparel is a 600B industry. It is highly segmented, | and literal armies of people analyze category and product | performance across millions of skus. So spending a lot of | time on something like this is definitely not unusual. | clairity wrote: | fwiw, i think you can drop the '.com' from the title for a | smoother punny title without ambiguity: "Goodwill.com | Hunting" -> "Goodwill Hunting" since the movie is "Good Will | Hunting". =) | dahart wrote: | One of the reasons I like Hacker News is seeing all the | people who will commit to days/weeks/months of work just to | satisfy their curiosity. You're in good company, this isn't | weird by HN standards. | gonzo41 wrote: | I would have said it's impressively detailed. | | This is describing what I imagine a few savvy bargain hunters | know from experience and interest in the market. Being able to | see massively undervalued items that don't fit in the | catalogue, kind of like being able to pick horses at the races. | dang wrote: | Looks like a moderator took the weird details out of the title | above. Submitted title was "Show HN: A weirdly detailed | graphical analysis of women's tops sold by Goodwill". | | We took Show HN out too, because while this looks like an | excellent submission, it's not a product or project that people | can try out - see https://news.ycombinator.com/showhn.html. | dave_aiello wrote: | My thought after reading several paragraphs is that the author | may have chosen women's tops for analysis because that's the | group of items where the greatest depth of data exists across all | of Goodwill's categorized SKUs. | | The article begins with "After 10ish years of second-hand | shopping, I've started to ask myself a lot of questions about the | clothes I've been buying..." but never says that the author buys | this sort of item in particular. | jjmccoolguy wrote: | Consider yourself lucky that I cut the over-long biographical | introduction about my views on shopping and the effect of going | back to school on my budget. I can tell you right now: neither | funny nor interesting. | | But for your curiosity, I chose women's tops because it's an | item I buy, it represents a good portion of Goodwill sales | (though I don't know how much), and it gives some consistent | area for comparison more than if I was looking at, say, | everything from old TVs to ceramic knick knacks. | | I'm pretty thrilled you read several paragraphs though, haha. | aasasd wrote: | Based on my bunch of visits to local second-hand shops (not the | US), women's clothing overshadows the supply for men, so much | so that those are basically 'women's second hand clothing | stores'. And I'd easily expect tops to dominate the selection. | war1025 wrote: | My wife gets nearly all of her clothes and our kids clothes from | Salvation Army. There seems to always be a good selection for | that. Men's clothing is much harder to find second hand in my | experience. | imutemyteam wrote: | Why are USED t-shirts selling at 8 dollars wtf?? | dahart wrote: | Is the graph at the bottom showing volume of sales increasing, or | lack of data before 2018? I didn't entirely understand the | comments about gaps in data, what specifically is being referred | to (e.g. the big dip in 2019, or the noise, or the 5x jump from | 2017 to 2018?). While reading, I was wondering what the volume of | sales were and if that explained price increases. If the volume | really increased more than 10x, it'd be surprising if prices | didn't go up even more than they did, right? But I guess volume | didn't jump this big this fast? | | It might also be nice to adjust for inflation over the last | decade, which hasn't been huge, but it makes a little difference | in the price curves over time. | aasasd wrote: | Gaps might be due to the fact that scraping requires fiddling | with the code every time the site changes even invisibly--or | data just stops coming in. | jjmccoolguy wrote: | Can't answer conclusively. The big dip and the fall-off at | the end were probably errors in my scraping. The site went | down for a bit at a couple points, and the way dates were | formatted changed a bit, all of which I thought I handled | correctly but maybe not. And at a certain point of combing | back over gaps, I just decided to be done. | | I strongly get the impression that sales volumes did increase | from 2014 onward, but sales in 2014, particularly in the | early range there, probably appear lower than they are. IDs | in that range sometimes returned normal Goodwill item pages, | and sometimes returned 404-type pages. Maybe they migrated | systems or something around that time? | jjmccoolguy wrote: | Just fixed the typo on "disproportionately" that was pointed out, | and the duplication/misspelling of Michigan as "Michigan." | | Will probably not address the other suggestions tonight and just | chill. | | Thanks everyone for your interest! I honestly thought this would | die in "new." | tropdrop wrote: | > _This project was done without Goodwill 's assistance or | permission._ | | May I ask about this - why no permission? Did you attempt to | reach out to Goodwill to explain the kind of project you're | embarking on and just didn't receive a response? | tkeAmarktinClss wrote: | Prices have gone up? Tell the federal reserve, I'm sure they will | be shocked /s | | I don't think quality has anything to do with it. Employees are | more expensive because life is more expensive. | gandreani wrote: | In the "Goodwill Tops by State Over Time" section, it seems like | Missouri is skewing the scale when I select "Price relative to | overall average". | | It's a shame I was really interested in that particular viz! | sireat wrote: | Quite a nice job on visualizations! | | This looks like all d3 or was there anything else you used? | jjmccoolguy wrote: | Aw shucks! It is indeed d3, and, as per the commenter below, | uses very very lightly adapted tufte.css for layout. | racl101 wrote: | Agreed. Those are awesome visualizations. | | According to the Chrome console output they all appear to be D3 | visualizations. | floatrock wrote: | The way the layout uses the right margin for legends or | auxillary information, or how the charts sometimes bleed into | that space looks straight out of a Tufte book. :thumbsup: | zeveb wrote: | The (very attractive) charts do not display without JavaScript | enabled. Surely this is a textbook example of where graceful | degradation would come in handy, as a simple image without | interactivity is still useful. | | Also the annotations, which are simple text, do not show up | without JavaScript. This is even worse: if there is anything HTML | is capable of doing, it is putting text on a screen! | draw_down wrote: | Perhaps the maker of award winning human.com is not | particularly concerned with graceful degradation. Different | people have different values, friend | ayakura wrote: | In the "Goodwill Tops by State Over Time" blocks there's a state | called Michegan right above Michigan. Made me look up to see if | it was called that at any point in the past, but it seems to be a | typo :) | jjmccoolguy wrote: | Ahhhhhhhh, sorry mate, good catch. I'll fix after work. I'm | Canadian if it gets me a little off the hook. | [deleted] | skuthus wrote: | Didn't Macklemore's 'Thrift Shop' come out in 2016? Maybe this | explains the price increase in 2016 | ajkjk wrote: | more like 2012 | skuthus wrote: | Ah yeah you're right | sct202 wrote: | I like they you have a section about data quality, but because | this is only of things listed on their website there's going to | be a lot of underlying bias of what was chosen to be listed on | the website. There might be some kind of company policy that is | driving the big shifts in # listings, brands that are considered | good enough to put online, and price. | malwarebytess wrote: | Angle I didn't see in your article: the price increases are a | result of flipping finding true market value for an item. The | ebay-et.al. effect. ___________________________________________________________________ (page generated 2020-07-08 23:00 UTC)