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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Gunns (@Christophe26557) reported 45 seconds ago

  @DrShayPhD @Patrici48060503 you mocked someone else for using AI right before doing the same thing in your own statement. That’s a credibility problem before we even get to the Amazon claim.

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  SynapseX (@TheSynapseX) reported 1 minute ago

  @forallcurious This is real, but the headline needs precision. The fungus usually cited is Pestalotiopsis microspora, isolated from the Ecuadorian Amazon, and the key finding was that some strains could degrade polyester polyurethane, even using it as a carbon source under both aerobic and anaerobic conditions. That is genuinely exciting because polyurethane is difficult to break down and landfill environments can be low in oxygen. But it does not mean we can sprinkle a fungus on the ocean and solve plastic pollution. Different plastics need different enzymes and conditions, and scaling this safely would require controlled bioreactors, waste sorting, toxicity testing, and proof that breakdown products are not harmful. The real breakthrough is not “nature eats all plastic.” It is that rainforest fungi may give us enzyme blueprints for better plastic-waste treatment.

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  True (Ø,G) (@TrueMETAx) reported 3 minutes ago

  At this point you should not accept my order if you wanted to cancel it. @AmazonHelp tbh you should shut down your app and open physical stores

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  TF D (@TFD681262885119) reported 11 minutes ago

  @BellTerryNEBC @poudapada @John_F_kJr And many have commented that problem could be avoided if big companies like Amazon paid their employees a fair wage The government is in many ways subsidizing the billionaires with this stuff Regardless that's a tiny number compared to the overall. And if they're working they are creating goods and services while spending their wages in the economy all of which stimulates it It's still a net positive

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  Anna قمر 𓂀𓋹💙🪬 (@Anna99136083) reported 13 minutes ago

  @AmazonHelp Stop lies, Mostafa! You pulled me into DM just for a fake PR show, then bounced me back to dead-end chats! Amazon logistics ALREADY took back my return last week. You are keeping BOTH the item & my money while protecting a scammer. Issue my manual refund NOW! @AmazonHelp

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  Lynn Adams (@hellolynna21876) reported 13 minutes ago

  These are being launch payloads on scheduled manifests now through year end 2027. Amazon Leo- 86 AST Spacemobile - 3 Don't beat me up $ASTS SpaceMob. Am trying to understand. To me, Houston, we have a problem.

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  Master chief (@Nathan_Drake_1) reported 14 minutes ago

  @FungalisedJay @chaerizzzz After Alabasta , Luffy loosing and then winning in the end has not happened in Sabaody , Amazon Lilly , Impel down , Marinford , Fishman Island , punk hazard , Egghead. Even when it does happen the situation are different.

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  Bharat Bharti 🇮🇳 (@Speakin4All) reported 15 minutes ago

  @flipkartsupport @Flipkart Could you please tell why an order OD338017474466539100 which was supposed to be delivered on July 10 hasn't yet been delivered? Amazon delivers within 3 days. What logistic issues you're facing? There is no floods here, no road connectivity issues.

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  Makayla | Real Estate Investor (@REIMakayla) reported 16 minutes ago

  Zillow says the house is worth $180,000 I bought it for $87,000 Both numbers are real. Here's what Zillow doesn't tell you and why your real estate agent will never explain it Zillow's number is the "Zestimate." It's a computer guess based on recent sales in the area. It assumes the house is in average condition, has working systems, and looks like the other houses on the street The house I bought had carpet from 1992, smoke-stained walls, a kitchen from the Carter administration, and a smell that hit you from the driveway. The previous owner had been dead for 4 months before anyone found her Zillow still said $180,000 Because Zillow doesn't walk inside the house. It doesn't smell the carpet. It doesn't see the water damage behind the bathroom wall. It just averages the neighbors Every single person who searched that address on Zillow thought it was worth $180,000. Every single person who drove past it knew it was worth less. The gap between those two numbers is where all the money is Here's what actually happened: The heirs lived out of state. The house was in probate. The estate was hemorrhaging money. Insurance, property taxes, lawn care, utilities to keep the pipes from freezing. About $700 a month to own a house they would never live in A real estate agent told them to list it for $165,000 and wait 90 days for a buyer. That agent would have earned roughly $9,900 in commission for putting it on the MLS and waiting for someone else to find it. The agent's total labor: about 11 hours of work across 3 months I called the attorney handling the estate and offered $87,000 in cash. Close in 10 days. No inspection contingency. No appraisal contingency. No realtor commission They said yes in 4 hours Because $87,000 in their account next week was worth more to them than $155,000 in their account in 6 months after commissions, closing costs, and $4,200 more in carrying costs while the house sat on the market I spent $19,000 renovating it. Paint, LVP flooring, updated the kitchen with stock cabinets from Lowe's, new light fixtures from Amazon ($40 each), cleaned the carpets (then ripped them out anyway) 6 weeks later, the house appraised at $168,000 I refinanced with a DSCR loan. The lender gave me 75% of the new appraised value. That's $126,000, tax-free, because a refinance is a loan, not income I put in $106,000 total ($87,000 purchase + $19,000 renovation). The bank handed me $126,000 back. I made $20,000 just from the refinance, before the house earned a dollar in rent Then I placed a Section 8 tenant. The U.S. government deposits $1,275 on the first of every month directly into my bank account. The tenant pays $0. The government covers all of it My mortgage payment is $847. The government pays me $1,275. I pocket $428 a month, forever, from a house Zillow priced for the kind of person who would never buy it There are 2.5 million families on the Section 8 waitlist right now. When I list a rental, I get 30 to 50 applications in a week. The government is desperate to place people in clean, safe housing. I provide the house. They provide the check Zillow's entire business is showing you the price of houses you can't afford in cities you can't move to. It makes money when you click, browse, and dream. It does not make money when you learn how the people on the other side of those listings actually buy Your real estate agent makes money when you pay as much as possible for a house. Their commission is a percentage of the sale price. A higher price means a bigger check. They are financially incentivized to never show you a house that smells like cigarettes and looks like 1994, even if that house would make you $428 a month for the rest of your life Nobody in the transaction is working for you. The algorithm wants your clicks. The agent wants the highest price. The lender wants the biggest loan. And the person who buys the house for $87,000 while everyone else stares at Zillow and argues about whether the market is overpriced just pockets the gap between what they think and what is actually true Every city in America has houses that look terrible on the outside and print money on the inside. You've driven past them. You've probably complained about them bringing your property values down Someone is about to buy the one on your street. Pay the neighbor's kid $200 to mow the lawn. Paint the walls a shade of grey. And collect a government check every month for the next 40 years I will teach you how to do this. Link in my bio, fill out the form and I'll hit you back

• 
  Polsia (@polsia) reported 17 minutes ago

  Most e-commerce retailers are running blind on competitor prices. Built PricePulse AI to fix that. We monitor Amazon, eBay, Walmart and every major marketplace around the clock — alerting you the moment a competitor moves so your pricing decisions are always based on what's

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  Bri ∘⁠˚⁠☆˳⁠° (@TEARZOFTHELYNX) reported 20 minutes ago

  Yall don’t realize how long ive waited for this moment I was so heart broken when amazon prime put out that disgusting ai eng dub.

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  Sam Bent (@DoingFedTime) reported 20 minutes ago

  Nobody is petitioning their way out of this. They didn't ask you when they went up, they won't listen when you ask them down. Stop asking your captors for mercy. *** guns are legal, felons can own them, you can get one for 300 with a silencer on amazon. Solutions exist.

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  David (@Keneetia) reported 24 minutes ago

  Wanted everyone to know, I seriously attempted to publish my Ke'nee sequel on Substack today, but it wouldn't take. Might be too big. I'll see about that later. Presently I'm publishing it on Amazon. Might be a couple of days before it's live. (hope I found all the errors)

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  BeyondBeyond (@Microwave2Death) reported 26 minutes ago

  @divine__timing Two years ago they tortured my dog while I was out so badly that at the end of his life he couldn't use the bathroom outside and finally when he passed I bought a battery powered carpet cleaner $350.00 on Amazon to clean the carpets properly. The thing arrives but no battery. I thought it was an honest error on the companys part but I end up going to Walmart to buy another one and I get home and get started on the carpets, move the sofa in the living room to get the carpeting under there and......there's the original battery from the first order. This is exactly the type of **** they do. They opened my original Amazon order perfectly and removed the battery then at some point left it under the sofa. Would have been there unnoticed for a while if I hadnt actually moved the thing. I have countless stories like this.

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  Evan Applegate (@youwillmakemaps) reported 27 minutes ago

  June 2015: this two-page spread visualizing an IFPRI crop yield model went in the Nov. 2015 Nat Geo. I received a 0.25°-res gridded dataset from the International Food Policy Research Institute, had a gloomy call with its author, re-binned the data (corn, wheat, potato, rice) into an interrupted goode-homolosine-projected hex map (took a day or two to make this in ArcMAP, had to find the right hex size), manually wiped/added hexes until they read as familiar coastlines and lakes, futzed with the colors for three weeks and the copy for three more. I think we had a meeting about every one of the callouts I was very pleased to get my own spread in National Geographic, but the map’s content is coarse and the time horizon is ridiculous. If you see a “this is how the entire world will look in 35 years” map, turn the page Below are 1,600 words of contemporaneous notes; I logged this as a "MAUP [modifiable areal unit problem] nightmare" because when you aggregate points into areas, the summary stats can be wildly distorted by the size and distro of those areas. How did I solve that? I probably didn't ------------------------------------- map critique - consistent leader line distance from text box DONE - leaders come out of the first word DONE - move US and SA text callouts up a bit, leader goes straight to andes DOESNT WORK - need to fix greenland, look up goode recipe DONE - egypt box goes to 5 lines DONE - ck crop area border thickness, looks heavy on epson DONE latest fixes - label continents DONE - keep pale yellow DONE - In the map key header: these are the average yield changes for four crops, name them DONE Rollin with ricky’s hexes - gave him 70k goode hexes reproj’d to WGS84 - joined his output back to good un-squished hexes via Input_FID - grabbed hexes that were 50% within core crop areas, which nabs 79% of em open hour notes redux - medium hex C carries the day DONE - let ricky re-generalize DONE - lose fertile area loss on key DONE - ████ the colorblind! DONE - leader lines are grey - cut left-most chart - add to text: how many calories are each of those commodity crops? - cut one text box - bangladesh callout back in - all callouts cut to 4 lines Open hour notes: - re-generalize to coarser per Lawson: make it more deliberately hexy - trying 85k size, you really have to watch this at the first crop area to hex step; the selections are waaay too generous with spatial selection “intersect”. internet says to calc hex area, clip hexes to 75% region, then use those new areal values to choose which are “mostly” in there (Shape_Area >= whatever threshold you want, “only grab shapes that are at least 60% as big as a full hex. this grabs 71% of the hexes, so not bad, but leaves out some of the smaller crop aras. lowering to a **50% area threshold** grabs 75%), and use those input_FIDs to grab the whole hexes from there. - OR you can just keep the 75% line on AI export and manually delete crap while you’re generalizing. hm. - AND you have to remember to do the same thing for the brand-new areas, since they’re outside the bound. - making it coarser is becoming a MAUP nightmare, of course it looks completely different depending on your enumeration unit - how about 70k? 50% area threshold within core areas grabs 79%. have to adjust sum of new-area pixels for smaller hexagons because they enclose fewer pixels, remember? - change colors: 2 shades of green, 2 shades of orange (dark and light) - need to hit the fact that its 4 commodities munged together - maybe add another outline for brand-new fertile areas? - they dont seem to get that its a matter of kind and not degree, so work on that (???) - kill the crop notes, keep charts on bottom left - waiting for k4 checkin, good god this is a new world record for AD K4 layout squattage - she wont even let me see it ;_; whyyy doesnt anyone share layouts here - add leader lines - no borders - add “no change” color to key - within the bounds, right? - fix key: 5-25%, remember? - label ladder chart with units AND convert to good ol american tons They like one-spread option, phew - simplify coast - get greenland onto left side only - keep country bounds for callout countries only - look at “migrant workers” (think he means guest workers) - needs to be way more stylized, within the realm of possibility for the geography. so let’s try hexing it, send to huffman, see what he thinks (ugh, but only ugh because he’s always right) - his notes: - majority filter stuff, get things chunky since the rest of the section’s that way anyway - simpler linework - add water fill, light blue. or no-stroke land fill - stedda bar charts, use the vector icons for maize and ████ - stedda complete masking out the non-75% areas, desaturate the rest [i dont want to since this just adds visual noise] - Wargames method - google “create hexagan tesselation” gpk, it actually works in arcgis - select land_hex chunks that intersect the 75% smoothed area, it’s too generous but will work with a sketch > zonal stats to table with land_hex > join by object_ID > get ridda the nulls, they don’t need to be there > now you can dissolve to make outlines, do what you want in illustrator. - remember you have to run this again for the brand-new areas; they’re outside the 75% bound - wargames method round 2 - martin wants it in goode homolosine, so take their basemap, plot hex grid in QGIS, then do exact same - hand-generalize method - remember, goode homolosine land, same as default cept central meridian is at 11 - add vector icons from before - remember: will keep the quad-graphic for online, so anything you do there has to be adapted again, which isnt bad since you’re not so constrained on layout for online, its just more work Face lift - keep 4 maps in the goode that ryan did, simplify colors, sub in green section color - fun crop facts go in the rail. daniel grabs 8 of them - check figures - that’s it major surgery - change colors to section color - simplify colors - simplify categories - new area added/areas demolished get harsher treatment? - the ADF files need to be reclassed from 1-7, at least in QGIS - add charts - projected yields: we got the 2050 figure from multiplying FAOSTAT’s latest by ricky’s change factor - simple ladders: areal changes - make room for rail - boost up “75% boundary,” if i had my way id mask out the other parts. maybe fade them? - cram all into one for main map - just convert to polygon > smooth polygon > 1 degree tolerance - one map per spread? - how bout one big aggregate map on spread 1, stories on spread 2? maize in teh uS, wheat in india and china, rice in africa, etc What we got - 2x spreads, in “adaptation: cropland”, harsh color bizweek style, put me in coach - first impression of these potential yield change maps: they dont tell a good story. like why do i give a ████ about the medians, i want to see the outliers highlighted and know how much food we'll o lose. like seeing that the amazon basin will lose a lot of food production doesnt make sense to me because we dont grow a lot of crops in saudi arabia. can we mask the places we KNOW we just dont grow ████? i like the black lines, they should be heavier - maybe its a color thing but its a total glaze-over as is. global modeling is neat quantitatively, but design-wise it doesnt grab me. Charts - UNFAO predicts a cultivated-rice-ha crash in 2030 and 2050, uh oh - metric tons figures: nobody remembers where they came from - tally up land loss and gain, make simple ladder charts instead of asking reader to decode all those god damn pixelly colors 5/28 with ricky - this is 2050 data - 0.5 deg/0.25 deg resolution, can be cranked up or down as necessary - the 75% threshold is arbitrary, 100% is insanely speckly, from a colleague’s “spatial allocation production model" - model is rainfed cept for rice, includes insolation, precipitation, standard nitrogen fertilizer inputs, *no* pests or multicrpping or diseases - the scale is yield change, so when it says “gain greater than 25%” it means “for that pixel, for that crop, yields will be up 25% by 2050”, which is interesting! - he’s **okay with collapsing gradations, losing potato and maize entirely** - can model the following, too - dry beans - cabbage - chickpeas - canola - cotton - cowpeads - cassava - faba bean - greenbeans - millet (pearl, i think) - maize - pineapple - peanuts - pigeonpeas - peppers - potatoes - rice - soybeans - sugarcane - sorghum - sunflower - sweet corn - tomatoes - tanier - taro - velvet beans - wheat 5/28 with dan - this aint businessweek, nuance gets to stay - winners and losers: rice wins, wheat loses, maize wins, potatoes definitely lose (they might even be replaced with other crops, sweet potatoes, as it become too unyieldy (haw) to keep growing them) - if we’re going to cut: maize and potatoes can be thrown out - those dark blue brand-spanking-new areas of fecundity: well, it will take insane infrastructure changes to actually exploit those. i think they could make a good new color or callout 5/26 with dan - going to ask Ricky if we can boil this down: aggregate his crops, can it still tell a meaningful story? - lower resolution, definitely - fewer categories, definitely - what I want to do: find the meaningful stories in here and goose the hell out of them; Dan says rice is the most interesting. so let’s push on that Lawson sez on 5/26 - we *can* tear it up and go to 1 spread, but will need to get it approved ASAP since she’ll have to fill a ████load of space if we do that - will have to check with someone named Hannah about the design - cant ████ with the carto too much since it’s back-of-book and the map people may throw a fit if we start choppin up - in any case, no matter what we do, we will - conform to section colors, give green pride of place - bizweeky boldness, see PDF she sent - give it 4 or 8 facts that run on the 1.5” rail that runs along the bottom of each spread