Reddit status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Reddit reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Reddit users through our website.

• Website Down (44%)
• Errors (30%)
• Sign in (26%)

Live Outage Map

The most recent Reddit outage reports came from the following cities:

City	Problem Type	Report Time
Patna	Errors	12 days ago
Monclova	Sign in	13 days ago
Nice	Errors	14 days ago
Guayaquil	Errors	24 days ago
Veracruz	Website Down	30 days ago
Bhubaneshwar	Website Down	1 month ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Kordon Rotaract (@RotaractKordon) reported 9 seconds ago

  reddit thread from 2015 just solved a problem I've had for months, bless that random user

• 
  Laqpiku (@laqpiku) reported 1 minute ago

  @BAcct8 @coinjoined @NeoxaPortal Also the reddit post was by them. They shought to destroy the only place they traded at because 1) Wrong ticker in their mind 2nd) They didnt like the price when market kept slashing it down.

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  John (@hello_code_) reported 6 minutes ago

  @rcmisk matches what I've seen, the backlink is the actual product, the launch day traffic is just a nice side effect nobody plans around. reddit threads where people already describe the problem convert way better than PH upvote traffic ever did

• 
  James In Beta (@JamesJames518) reported 7 minutes ago

  RedditMaster Karma Mode actually wasn’t something I originally planned to build. But after talking to RedditMaster users, I kept hearing the same problem: new Reddit accounts often can’t post where they want, and it gets frustrating fast. A lot of people end up buying accounts, but purchased accounts can be risky and get banned easily. The other option is using an agency’s accounts, but then all the traffic goes to accounts you don’t own, and the quality can be inconsistent. So the safest long-term approach is still to grow your own account organically. That’s what RedditMaster’s Karma Mode is built for. Our users typically reach around 1,000 karma in about 90 days. I am really proud about what we achieved.

• 
  Morpheu5 Stock Watcher (@Morpheu5Watcher) reported 8 minutes ago

  REDDIT $RDDT ADDED $2.6B TODAY OVER TWO CONTRACTS WORTH $130M A YEAR: Reddit RDDT at $158.11, +$13.47 / +9.31% today, one of the largest gains on the board among big, widely-followed names - and the company itself did nothing to earn it. The San Francisco company runs the network of user-written forums people land on when they add "reddit" to a search, employs 2,555 people, and makes almost all its money selling ads inside those conversations. The day around it: S&P 500 ETF Trust, ticker SPY, at $765.27 (after hours), +$3.49 / +0.46%. One stock, not a market. WHAT WAS ACTUALLY SAID Colin Sebastian at Baird kept a Neutral rating and a $185 price target - the level an analyst reckons the shares are worth - and made an unusual argument. Not that good news is coming: that the bad news is already in the price. Today's share price, he wrote, already sits near his worst case for two expiring contracts, and he valued a middling outcome at roughly $10 a share of extra value, a good one at roughly $20. That is the whole catalyst: an unchanged rating and a sentence about what the price already assumes. THE TWO CONTRACTS Reddit charges AI companies for legal access to its archive of human conversation instead of letting the text be scraped for free. Two of those deals matter: - Alphabet, the owner of Google, at $337.38 (after hours), +$2.36 / +0.70% today: a reported $60M a year, from a February 2024 expansion of its access to Reddit's data - OpenAI, privately held, with no shares anyone can buy: a reported $70M a year, from May 2024 Both expire next year. Neither has been renewed in public. Together that is $130M a year against $2.78B of revenue - the money coming in the door - across Reddit's last four reported quarters. Roughly 4.7% of sales. Set the two side by side. Today added about $2.6B of market value - the share price times every share - against contracts bringing in $130M a year. Twenty years of that revenue repriced in one session, on an argument that the fear had gone too far. WHY IT NEEDED AN ARGUMENT The June quarter, reported July 30, was not the problem. - Revenue $804.9M, +61% from a year earlier - the eighth quarter in a row above 60% - Advertising was $762M of it, +64%; everything else, licensing included, $43M - Profit $252.8M, or $1.25 a share, against about $0.97 analysts modeled, from $89.3M a year earlier - People using Reddit on an average day: 130.3M, +18%. Money earned per user: $6.18, +36% - This quarter was then guided to $860M-$870M of revenue, above the roughly $830M modeled Beat, guided higher, and down 20.99% the next session - $178.04 to $140.67 on July 31, on 29.9M shares against a normal 4.5M. Two worries did that. Visitors arriving from Google searches had gone choppy, and no new AI licensing deal was announced. Both are one worry in different clothes: how much of Reddit turns on a larger company's decisions. Which is why Alphabet is in this story twice - as the customer paying the $60M, and as the search box deciding how many people show up. THE PART THAT SHOULD SLOW ANYBODY DOWN Reddit did this exact thing three weeks ago. On August 14 it closed at $178.09, up 12.63% in a session, on news it would join the S&P 500 - the index that fund above tracks - on August 18. Index funds have to buy what the index holds, so that was real, dated, mechanical demand. By September 1 the stock closed $144.64. The entire 18.78% handed back over twelve sessions. Today's $158.11 close is one cent below the $158.12 it closed at on August 13, the day before the index news broke. Three weeks, two double-digit jumps, one full round trip. The shape today was strong - opened $143.71, dipped to $143.50 early, closed within 16 cents of its best price of the day - but on 5.32M shares against a 7.03M average over the past month. A 9% move on lighter turnover is a smaller crowd setting the price than the percentage implies. Wider frame: the shares sit 44.1% under the $282.95 of September 18 last year, and $19.93 / 11.2% under where they closed the day before the July report. WHERE IT SITS Reddit is fourth on the Hypergrowth Len5, which watches early companies growing fast. It earns that on both halves at once - 18% more people showing up, each worth 36% more - which is how a 61% quarter gets built without either number carrying it alone. WHAT WOULD CHANGE IT: management's own map for this quarter is +47% to +49%, the first sub-60% quarter in two years. Growth settling there and easing further makes this a bigger company growing slower, which is a different style's shape. None of the other five carry it. Momentum watches a company climbing on news of its own, and an outsider's opinion is not that; a high built on Reddit's own October figures would be. Quality-Value hunts a durable business at a fair price; 33.6 times the last year of profit is arguable, but durability is the harder half while a real share of visitors arrives through somebody else's search box - user growth holding through a referral downturn is what would settle it. No dividend answers Income in one line. Alphabet sits first on that same Quality-Value Len5 - the top name on it - because search and cloud are about as hard to displace as any business gets, and the price reads as a real discount rather than merely fair. WHAT WOULD CHANGE IT: search revenue shrinking as people ask AI assistants instead. WHAT TO WATCH, AND THE RISK October 29 is the next hard fact, when Reddit is expected to report - not company-confirmed. That is where +47% to +49% either lands or does not, and where any renewal news surfaces. The risk is that nothing was signed today. No contract renewed, no talks confirmed, no figure published. What moved was one analyst's read of what the price already assumed - and twice this summer this same stock has been handed a reason to jump and then spent a fortnight giving it back. Not investment advice.

• 
  ale (@hlv152) reported 9 minutes ago

  and for my terrible luck, said art made it to random twitter and reddit pages without credits to the point of becoming a somewhat recognizable image if that wasn't enough, the fact that unrelated people i know including irls have seen that **** on their tl is bizarre

• 
  Akari Rini 🌐⭐ (@akaririnii) reported 11 minutes ago

  @Necromel211736 i aspire to be as tech savvy as you one day!! random reddit tech problem forums are my savior

• 
  XEGAN (@xegan271) reported 12 minutes ago

  Life's so good right now that solution to all my problems are on reddit.

• 
  T.M (@tactmedic52) reported 13 minutes ago

  @letsgetfecal That wasn't at all what the issue was and I don't think you understand what Reddit means. Genuinely far worse of a game outside of the abysmal dog **** firearm customisation they put into that game.

• 
  MarsIQ (@SingleLayerch) reported 21 minutes ago

  @EmbarkBulletin Because you ******* still haven't nerfed heavy in the finals. Would have been the best game ever without the dog **** heavy class. honestly the first ******* dev team when it comes to balances or introducing new changes. You guys now have a reputation for create game with unlimited potential and then dumbing them down for your reddit communities which have genuinely 0 skill and no idea what they are talking about. While your more skillful part of the community is left to rot. Same ******* pattern with the heavy brain rot in the finals with this game.

• 
  AdamOFK (@adamofk_) reported 26 minutes ago

  If you're using Reddit for SaaS growth, don't search only for your product category. Search for the problem people have before they know which product they need. “Looking for an alternative” “Anyone using…” “How do you handle…” Those conversations are much closer to buying intent.

• 
  Justinas Rolando (@JustinasRoland0) reported 26 minutes ago

  Been testing Claude Fable 5.1 for Google Ads and gotta say it's cracked... The research, reasoning, and data analysis capabilities literally 10x'd. So here's a 10-stage AI workflow to automate 80% of it: (Literally every prompt you'll need. Save this) Stage 0: Build the project brain Before asking for anything, create a Claude Project and feed it everything. - Product pages - Best sellers - Customer reviews - Objection docs - Competitor URLs - Meta ads - Google Ads Transparency Center links - Search terms reports - Winning ad copy - Offer details - Brand guidelines - Past landing pages - Performance exports Then run this prompt “Act as the Google Ads strategy brain for this brand. Read all uploaded context and create a working brand profile covering: ICP, core pain points, buying triggers, objections, emotional language customers use, top products, strongest offers, competitor positioning, current funnel gaps, and Google Ads opportunities. Do not make recommendations yet. First summarise the context and ask me what is missing.” The quality of the outputs you’ll get from this AI workflow will directly correlate with the quality of the context you give it here. And also the quality of the Claude model you use, since newer models have more context tokens and better reasoning skills. Stage 1: Customer language mining “Search Reddit, YouTube comments, Amazon reviews, TikTok comments, and niche forums for people discussing problems related to [PRODUCT CATEGORY]. Extract the exact words they use when describing the problem, what they have tried, why those solutions failed, what outcome they want, and what would make them buy. Format this as: Quote / Pain Point / Desired Outcome / Funnel Stage / Possible Ad Angle.” This gives you the language that keyword tools would never show you. If someone writes: “I’m tired of wasting money on supplements that do nothing.” That can be a winning ad angle right there. Stage 2: Competitor angle map “Research these competitors: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Use Google Ads Transparency Center, Meta Ad Library, their landing pages, product pages, offers, guarantees, reviews, and email capture flows. Build a table showing: offer, main promise, ad hooks, landing page angle, proof used, objections handled, pricing position, and what they are NOT saying.” Then run: “Based on this competitor research, identify the 5 most validated market angles and the 5 biggest white-space angles we can own. For each angle, explain which funnel stage it belongs to and what campaign type should test it first.” If 3 competitors are all running the same hook, that angle is validated. You don’t even need to be original. Just add your unique spin to what’s already working. Stage 3: Keyword research “Using the customer language, competitor research, product pages, and search intent data, build a full Google Ads keyword universe for [BRAND]. Split it into: branded, competitor, high-intent product, problem-aware, solution-aware, comparison, ingredient/material, use-case, gift/occasion, and negative keywords. For each keyword, include funnel stage, intent level, match type, campaign/ad group recommendation, and landing page angle.” Then run: “Now prioritise this keyword research report into a 30-day launch plan. Separate must-launch keywords from phase 2 tests. Flag any keywords that are high volume but low commercial intent.” This stops the campaign from becoming a messy keyword dump. Stage 4: Campaign architecture “Turn the finalized keyword research report into a complete Google Ads account structure. Include campaign names, ad group names, keyword match types, bidding strategy, starting budget split, exclusions, negative keyword rules, and when each campaign should launch. Use this structure: branded search, branded shopping, non-branded shopping, non-branded search, competitor search, PMax remarketing with brand exclusions, display remarketing, Demand Gen, and TOF search tests.” Then add: “Explain why each campaign exists, what signal it is meant to produce, and what metric decides whether it scales, holds, or gets cut.” Every campaign needs to play a role in your ecosystem. If it doesn’t, you should just stop running it. Stage 5: RSA copy production “Write responsive search ad copy for [PRODUCT] targeting [KEYWORD]. Funnel stage: [BOF/MOF/TOF]. Use the customer language and competitor gap analysis above. Give me 15 headlines under 30 characters and 4 descriptions under 90 characters. Include: benefit-led headlines, problem-led headlines, proof-led headlines, offer-led headlines, and urgency-led headlines. Make sure headline 1 matches the search intent.” Then run: “Create 3 ad variations for this keyword: one direct-response version, one proof-heavy version, and one problem-agitation version. Explain which audience each variation is for.” BOF copy should sound like the product is the obvious answer. MOF copy should make the benefit feel believable. TOF copy should make the problem impossible to ignore. Stage 6: Merchant Center feed optimization “Rewrite this product title for Google Shopping using the structure: Brand + Product Type + Core Keyword + Key Feature + Use Case/Benefit. Stay under 150 characters. Give me 10 variations ranked by likely search intent.” Then: “Write a Merchant Center description for [PRODUCT]. Use up to 5,000 characters. Include all relevant buyer keywords naturally, cover features, benefits, use cases, materials/ingredients, sizing/specs, objections, and reasons to choose this product. Do not include irrelevant keywords or products we do not sell.” Then: “Audit this product feed for missed Google Shopping opportunities. Check title, description, product type, Google product category, images, variants, pricing, promotions, shipping, reviews, and attributes. Tell me exactly what to change.” Stage 7: Landing page angles “Build a landing page brief for [PRODUCT] targeting people searching [KEYWORD]. Awareness stage: [PROBLEM-AWARE/SOLUTION-AWARE/PRODUCT-AWARE]. Structure it as: hero headline, subheadline, proof bar, problem section using customer language, mechanism section, product section, comparison section, reviews, objection handling, FAQ, CTA. Make sure the first screen matches the search query.” Then run: “Create 5 landing page angle variations for this product based on different search intents. For each one, give me the hero, core promise, proof required, objections to handle, and CTA.” Send the best one into Claude Code. Now you have an intent-specific page created instead of 1 generic PDP trying to convert everyone. Stage 8: Creative production Connect Higgsfield MCP inside Claude. Then run: “Create a 9-shot YouTube ad concept for [PRODUCT] based on this angle: [ANGLE]. Style can be claymation / UGC / cinematic product demo. For each shot, include scene description, voiceover, on-screen text. Use GPT Images 2.0 for the statics.” Then: “Create 5 new creative concepts from the strongest customer pain points in the research. Each concept should include hook, visual metaphor, script, image prompts, animation prompts, and CTA.” If you wanna run video ads, animate your statics with Seedance 2.5 Use Fable to write the scripts. Shouldn’t cost more than $3 per ad. Stage 9: Daily campaign audit Connect Google Ads MCP (or just export report CSV) Then run: “Pull the last 7 days of Google Ads performance and compare it to the previous 7 days. For each campaign show spend, revenue, ROAS, conversions, CPA, CPC, CTR, impression share, search lost IS rank, search lost IS budget, and top search terms. Flag: ROAS down 20%+, CPA up 20%+, budget-limited winners, rank-limited campaigns, branded leakage in non-branded campaigns, wasted spend queries, and products spending with no conversions.” Next up: “Turn this audit into an action list. For each action, include the campaign, issue, evidence, recommended change, risk level, and expected impact.” Stage 10: Weekly scaling plan “Compare performance across 7, 14, and 30-day windows. Identify campaigns, products, keywords, ads, and landing pages with consistent green signals. Recommend which budgets to increase by 15-20%, which to hold, which to decrease, and which tests to launch next. Do not recommend scaling anything unless the signal is consistent across multiple windows.” Then: “Create next week’s testing roadmap. Include 3 keyword tests, 3 creative tests, 2 landing page tests, 2 feed tests, and 1 campaign structure test. Rank them by expected impact and implementation difficulty.” And this is how you get your full ecosystem set up: - Research feeds keywords - Keywords feed campaigns - Campaign data feeds landing pages - Landing pages feed creative - Creative feeds new angles - Audits feed the next week of tests If you want me to build this full AI Google Ads production system for your brand btw, DM me “FABLE” and I’ll show you what it’d look like

• 
  Ray Myers (@TheRayMyers) reported 34 minutes ago

  @ariaradnia The problem is sustainability, I don't think this is sustainable. I believe US DAUs decreased last quarter. Reddit is turning into AI slop machine, and that makes it less relevant for LLMs as a data source. I don't buy it that there is another huge contract coming their way. I don't like their product as a user.

• 
  Dice (@builtbydice) reported 35 minutes ago

  @MSiekmoeller reddit is ridiculously good for finding people with the exact problem you’re solving

• 
  Burnt Toasst (@BurntToasst) reported 35 minutes ago

  @Chavez628K @decktech1047 @marceelias Your hurt little fee fees are your problem so can't help you there. But I'm sure it will be a post on reddit that says something like "and then I called him a filthy animal" and end with all of X standing up to clap for you. Regardless, you'll still be a retard.

• 
  NTPrime (@NTPrime) reported 36 minutes ago

  @GunsOfEschaton I'm blacklisting this game for myself because of your terrible exploitative Reddit ads.

• 
  techy (@Ultimate_techy) reported 37 minutes ago

  @WaltonMedenna @grok No im habing problems with them. I wouldnt trust them. Look on reddit. They got a whole thread of people with issues

• 
  akin.korpe (@akinkep) reported 39 minutes ago

  The biggest barrier to marketing on Reddit is the fear of getting banned. Founders want to share their product, but moderators or AutoMods take them down instantly. The pain point we focused on while building FindEvo was exactly this. We saw that dropping direct links doesn't work and ruins community dynamics. The right workflow is: first understand the problem, offer methods to communicate safely without getting banned, and then build an organic connection. A founder's real pain isn't spamming; it's making their voice heard safely.

• 
  Priyanshu Bhati (@buildwithpb) reported 40 minutes ago

  @Noise_Frequency @susanabulhawa glitch is huge but calling them barons feels like a stretch. they’re just really good at reddit lore.

• 
  Zee_Engr (@engr_117) reported 40 minutes ago

  @reddit_lies @RationalBlonde Can we report on Reddit discrimination? Same issue with /layoffs Reddit community. They ban anyone who talks and shares true fact on H1B, OPT, offshoring issue

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  Mo D.S. (@RealMoZDS) reported 41 minutes ago

  @cloudosaur @emilykmay It doesnt. It proves you're not reading. You're feeling. It throws into question your perspective on the situation as a whole. My whole point with the OP was she can't read either. Her post was unrelated to what the author of the reddit post actually wrote. Thats the issue.

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  Clippa🐰✂️ (@CallMeClippa) reported 42 minutes ago

  @deverslath @tbdeinc @c_vinchenzo when no one could find the reddit leak that didnt exist, they created one hoping it would muddy the waters but people like you that are good at this are tracking everything in the **** show discord server already.

• 
  Vit from joinrecall.com (@vitverb) reported 44 minutes ago

  @HeyAliux reddit, but only when the problem is already specific. one detailed reply in a niche sub brought us more beta users than a week of posting on X.

• 
  Anglo-Distributist 🇻🇦 (@Catholic_Briton) reported 44 minutes ago

  @CrewkerneMan Argue like you're left-wing 1. Pretend not to understand the point, no matter how obvious 2. Make your opponent waste time explaining obvious things so they can't move on 3. Equivocate, equivocate, equivocate 4. Make a reddit-tier gotcha & sit down like you won the argument

• 
  Elle's Tenacious Library 🧬🔬 (@DefAMustRead) reported 49 minutes ago

  @SirWins67879341 @crochet_mom314 @thepeaklady I often describe women as falling into one of three categories - TikTok, Twitter, and Reddit. You want a reddit (although I haven't been there in about a year; I hope it's not now terrible like everything else)

• 
  hooftly (@hooftly) reported 50 minutes ago

  Something has happened in the trenches. We are seeing the emergence of a new meta that, to me, has always been obvious. If you troll my old Reddit posts, you will see me talking about this. I have always been adamant about one thing when it comes to memecoins... they need more than a meme. Bored Ape Yacht Club were pioneers here because they took an otherwise pretty useless meme and turned it into a social phenomenon. They achieved this by adding exclusive perks for holders, different levels, and more. The lesson learned here? Utility is required for any meme to survive long term or grow further. That utility can look like what BAYC did... Or it can look like something else. How many memecoins have you ever held? Were you glued to the charts, hoping it wouldn't nuke, with your finger on the sell trigger? This is psychologically draining. It's also dying as a meta. Enter MemeFi. The very thing I have been talking about for so long. I'm not the only one who sees this now. It started with Stonkbrokers piercing the veil and really setting it off. People started to realize memes could be more. They could be productive, and they could earn. Once you see this in one place, you start to realize where this is not happening... which is almost every OG meme in the space. Okay, cool, but SB was built from first principles by a builder who was deeply entrenched. They can't all be the same caliber, right? This may be true, because building DeFi is hard. But what if there were a way to make memecoins useful without needing to build massive rewards incentives internally? What if you could also tie it into the growing MEME/Stock pair meta? This is one of the things STATICS is trying to accomplish. You may have heard about our basket tokens and how, when created, Uniswap v4 pools are deployed pairing the Basket Token itself with each of its underlying assets. Three underlying assets in the basket? Three pools are created. This creates an arbitrage graph between the pools, the external venue value of the underlyings, and Basket Token mints and burns. Now enter memecoins and stock pairs. These are already seeing traction, and users are making real yield in liquid assets by LPing Meme/Stock pairs. But what happens when attention ends? What drives trading if no one is paying attention? ARBITRAGE. I know I sound like a broken record at this point, but the more opportunity you have for price divergence, the more opportunity arbitrage traders or bots have to rebalance and profit. This translates to volume. Volume translates to fees. Fees translate into rewards for LPs. And rewards can translate into attention coming back because the yield is good. See where I am going? Basket Token pools don't require speculation to attract volume. All they need is price divergence. In trading, divergence is an everyday occurrence. Imagine a basket with underlyings of NVDA and MEMECOIN. We call it NM1. You then have pools with: NM1/NVDA NM1/MEMECOIN If MEMECOIN dumps hard on an outside exchange, think about what just opened up... The MEMECOIN/NM1 pool has not dumped with it, and this has created a DIVERGENCE. A trader can buy MEMECOIN at the lower external price, sell it into the NM1/MEMECOIN pair, acquire NM1 tokens, burn NM1 for the underlying assets, and profit. The trader was able to profit AND pick up NVDA at the same time. And this is just a super simple example of all the possibilities that open up. $STATICS is building infrastructure to make existing assets useful and, ideally, bring attention back to them. The Uniswap v4 hook also compounds part of the fees directly back into Protocol Owned Liquidity that can't be removed until a pool is decommissioned. This means every trade deepens protocol-owned liquidity. MemeFi is here, and it's being paired with stock tokens. The frontier for this is on @RobinhoodCrypto, and @staticsprotocol is building for it.

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  ^ (@Oct27_x) reported 52 minutes ago

  @Ntr1166177 *Typo error ( Reddit rumours are true )

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  orange chainsaws (@westboundsign95) reported 55 minutes ago

  Why is there just so many bad guides to literally everything and somehow reddit is the one that solves all my problems

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  Alexander 'Lex' Williams (@squidlord) reported 55 minutes ago

  @Ochadoji999 The process of online fragmentation is a long-standing problem. We used to have Usenet as the big conversational space and individual IRC channels on some of the larger servers as the ephemeral chat places, and it worked pretty well. Quite frankly, you can run an IRC server on a potato. They can talk to one another in a sort of federated mesh if you want. We had that technology figured out and nailed down. But then came the introduction of walled garden solutions. At least AIM and ICQ used open protocols so other people could make clients that interfaced with them, and you could still talk to your friends using them no matter what client you used. Then came Facebook and Myspace and the wave of early "social media" platforms, which slowly and surely began choking off access to general cross-system information. Reddit, for quite a long time, was a very big anomaly because as long as you spoke its API, it didn't care. Which is why so much of Reddit data made it into training information for various systems. Then Discord servers became very much the norm, which combined even more fragmentary, isolated groups into their own server silo, but within the same platform ecosystem. It was and remains great technology, but the way that it has affected the culture of online communities is somewhat of a problem in my view. It creates a feeling for and desire for insularity. Plus, it focuses on ephemeral conversation rather than long-term stored communication like you find on forums and Usenet and various other places where people have more nuanced conversations. If you think all your ideas deserve to have the lifespan of a mayfly, then I guess it's great, but I don't like it very much. In fairness, there never was a VTuber community. That's the wrong word to use for it. There was a "people who did VTubing and the people who were into watching VTubing." Those people didn't necessarily have many things in common, and they still don't. It is an identity group and not a community. Which sums up so much of what's wrong with it as a whole.

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  Bmore73 (@mdemt) reported 60 minutes ago

  @ErimhanAhmet May 2024 — Former sailor’s photos called “worse than prison” A former Navy worker shared mess-hall photos on Reddit (raw-looking chicken, questionable brown meat, pink hotdog, moldy bread). Commenters included veterans from the 1990s who said shipboard food was “really quite awful,” greasy, and off-tasting. Covered by The Mirror.  Longer-term context from reporting: Sailors have long described repetitive menus, declining quality after fresh produce runs out (often within the first couple of weeks), and reliance on personal snacks, protein powder, and ramen to supplement. Midnight rations (“midrats”) were frequently cited as especially sparse leftovers. Ships returning to port rusty after long deployments October 2020 — USS Stout (DDG-55) after 215 consecutive days at sea The destroyer returned to Naval Station Norfolk looking heavily rust-streaked and weathered after a record 215 days without docking (COVID restrictions prevented port visits). Photos circulated widely showing rust patches on the hull. Daily Mail and later Naval News / NAVSEA coverage noted the rust was removed and the ship repainted after return. NAVSEA later used the Stout photo as an example of high operational tempo plus saltwater corrosion.  December 2021 — Broader “Navy is rusting away” reporting Task & Purpose published photos of multiple ships showing rust after deployments, including USS Arleigh Burke, USS Fort McHenry, USS James E. Williams, and USS Zumwalt, plus the 2020 Stout return. The piece attributed it to a “crushing deployment cycle” that left little time for preservation work.  2018–2019 examples and analysis • USS Curtis Wilbur drew comments for a “rusty and shabby appearance” during a 2018 Hong Kong visit. • 2019 Defense News “Rust Dialogues” discussed why U.S. ships often look rustier than allied ships: American vessels stay at sea longer with fewer port visits for chipping and painting. A 2005 photo of USS Normandy mid-deployment was contrasted with later, rustier ships. Corrosion control was already a multi-billion-dollar annual cost.  2023 NAVSEA statement Naval News quoted NAVSEA on rusty ships: high operational tempo + steel + seawater = rust staining wherever coatings are scratched. Crews do preservation at sea, but it is balanced against operations. The Stout 2020 photo was referenced again.  Rust after long deployments is treated by the Navy as expected cosmetic wear from saltwater and limited time for topside work while underway; it is usually addressed after return to port. Food complaints have been a persistent sailor grievance for decades, especially once fresh stores are gone and the 21-day repeating frozen/canned menu takes over. Both issues tend to surface most visibly after unusually long or high-tempo deployments with few or no port calls.