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 (64%)
• Errors (25%)
• Sign in (11%)

Live Outage Map

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

City	Problem Type	Report Time
Indio	Website Down	3 days ago
Rosenau	Errors	3 days ago
Pélissanne	Sign in	6 days ago
Adelaide	Website Down	10 days ago
Brisbane	Website Down	12 days ago
Bengaluru	Website Down	13 days 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:

• 
  Ruckus♚ (@king_ruckus) reported 1 minute ago

  @grok This service is absolutely terrible for NSFW content creation that isn't text. Look over on Reddit, endless complaints.

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  Joseph M (@Joseph_M_K_) reported 2 minutes ago

  @DarkOfTheMovie If libs took issue over Pride events at the WH with trans women showing their tits, you could talk. Yall didn’t. And nobody but skinny fat reddit posters find The Boys references clever. Go watch Bette Midler’s sing out protest or some ish.

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  Mistress Michaela 💸🔥⛓️‍💥 (@Slavic_Mistress) reported 3 minutes ago

  @GoddessRecovery Hard to say! I think some men really are enjoying the attention of it. From my short appearance there and some post about it here I know Reddit is full of submissive men dragging down ******. I may be too misandrist to enjoy interacting with submissive posts btw. I just feel we should solely support women in this field haha. BTW, girl you’re probably ghost banned or something, flagged, Idk, but your comment only shows after I click on “show possible spam comments” 🫶

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  Liam Norris🇺🇲 (@LiamNorris25413) reported 5 minutes ago

  @ComardeThe97931 @ProjectAncap Reddit is down the hall and to the left

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  FaintVestige (@FaintVestige97) reported 6 minutes ago

  @UMAR__74 @biyalogy5168 If your entire argument is "Reddit said so she's a h**" and "you're dumb," I think you've contributed all you're capable of to this conversation. Shut up and sit down.

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  Mister_Evans (@mr_evans7) reported 10 minutes ago

  @WallStreetApes "High voltage EV batteries" was the focus of his comment. DIY'ers **** up more than they fix, and electrocuting themselves or shorting out a giant lithium battery and burning the house down is a very real liability. Youtube, Reddit, and Google make amateurs into "experts"

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  Sean Bates (@sbrage2000) reported 16 minutes ago

  @JPWakeBooks What made even less sense is why they went through all that trouble to get to a TV station. Why not just upload the goods to Reddit?

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  Ollie Chuddington 🇻🇦 (@DefiantlyGoy) reported 16 minutes ago

  @vrilwren @VikingRevival9 Reddit is down the hall and to the left

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  Mosslynn | Ko-Fi in bio (@S_magellanicum) reported 17 minutes ago

  @_callmesebby @AvaTarrMain I'll extend this as a social media problem, because I do see this same thing on places like reddit, tiktok, etc.

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  Prerna (@prernaa_agarwal) reported 20 minutes ago

  @1Umairshaikh Talk to potential user problem statements on social like reddit, share insights, cold outreach, create a mvp and validate through them

• 
  Ian (@006_ian) reported 21 minutes ago

  @ngumaa__ All your problems have been solved on Reddit

• 
  caelyn ⁷ is seeing bts (@caelynprtty) reported 21 minutes ago

  grabe even on reddit they’re talking about the ticket refund issue 😭

• 
  ecomchigga (@ecomchigga) reported 22 minutes ago

  there are two completely separate economies running on this platform and almost nobody realizes they're stuck in the wrong one. economy 1 is the advice economy. accounts posting about how to sell digital products to other accounts who are also posting about how to sell digital products. everybody teaching. nobody buying anything from each other except more teaching. the money moves in a closed loop. this person's course gets bought by that person who's building a course to sell to the next person. a hamster wheel of people selling shovels to other shovel sellers and calling it an industry. economy 2 is the actual product economy. someone has a PDF about dog grooming or apartment organizing or cast iron maintenance. they don't post threads about "content strategy." they answer questions on reddit where real people have real problems that have nothing to do with making money online. they clear $3-7K a month and nobody on this app knows they exist because they've never once tweeted their revenue. economy 1 is loud. economy 2 is quiet. economy 1 fights over the same 200 followers who are also selling courses. economy 2 has access to 5 billion people on google searching for answers to problems that have nothing to do with twitter. economy 1 looks more successful because you see it every day on your timeline. economy 2 is more successful because the customers are real, the problems are real, and the money doesn't depend on convincing other sellers to buy your thing about selling. the move that changed my numbers was realizing i was performing in economy 1 when the money was sitting in economy 2 the whole time. stopped tweeting about selling. started actually selling to people who don't know what a "value ladder" is and never will. revenue tripled. follower growth slowed down. best trade i ever made.

• 
  Melvin Chia (@melvinchia) reported 25 minutes ago

  @zschwendi it seems that reddit chat is down.. do you have any alternative DM routes? I've been testing Peel and encountered quite a few issues.

• 
  Trubbish  (@JustATrubbish) reported 27 minutes ago

  @SleepyLichTV @flightless040 Turn back requires a hook which requires more then just a M1 down. Btwy twitter account has been here longer than you so I think it's time for you to go back to tiktok or reddit or wherever you come from

• 
  fireside notes (@firesidenotes) reported 30 minutes ago

  In this article Satya argues that every enterprise should build a "learning loop" to retain its institutional IP in an AI world. But with the half life of information based IP collapsing, what actually survives? DeepSeek R1 replicated OpenAI's o1-style reasoning capability in roughly 6 weeks. Released January 2025, on top of an open source base model trained for a fraction of OpenAI's reported spend. The full reasoning approach that took the leading lab years to develop was reverse engineered into an open weights model anyone could download and run. This is the new pattern. Point enough compute at any current capability and you can reverse engineer the solution. This makes the frontier effectively a lead time. And that lead time is shrinking. The same erosion is reshaping every form of information based IP, but each at a different pace. > Algorithmic IP and trade secrets are collapsing. DeepSeek isn't an isolated case. Stable Diffusion replicated DALL-E 2's image generation capability within months of public release. Llama 3.1 405B reached GPT-4-class quality around 16 months after GPT-4 shipped. Every frontier capability has been near-matched by external researchers within 6 to 18 months. Capability reveals itself through outputs. The most expensive part of any research programme is the question of whether the thing is even possible. Once a working system exists in public, that question is answered, and the cost of replication collapses by 1 to 2 orders of magnitude. Point enough compute at a known target and you get there. Trade secrets follow the same logic. Proprietary processes, proprietary scoring systems, proprietary algorithms all become observable through outputs. AI agents accelerate the reverse-engineering by reading patents, scraping outputs, and proposing alternative implementations at the speed of compute. The Coca-Cola formula survived a century because nobody had a chemistry lab in their pocket. That defence is thinner now. > Patents are weakened, and the picture bifurcates. Patents are still legally enforceable. What protection they deliver has changed. For physical inventions (chips, biotech, materials, machinery), patents still bite. ASML's lithography patents are real. Moderna's mRNA patents are real. The reverse-engineering cost on a physical invention is high enough that a patent buys you genuine protection. For software and process patents, the picture is different. Designing around a software patent has collapsed in cost because AI can read the patent and propose 50 alternative implementations within hours. The Alice decision in 2014 already gutted a chunk of US software patents. AI is finishing what the courts started. The bifurcation matters for IP strategy. If your moat depends on software patents, you have a problem. If it depends on physical-world patents over things that are hard to manufacture, you're in good shape. > Copyright still holds, with one narrow caveat. Copyright is the strongest of the traditional IP forms in the AI era. It protects specific expression rather than ideas, which is exactly what generative AI cannot replicate at the level of any one specific work. Brand adjacent copyright (logos, distinctive expression, named characters) is genuinely defensible. Disney's IP portfolio is not diminished by generative AI. The New York Times case against OpenAI for verbatim training-data reproduction is still working through the courts. Most major publishers have already cut licensing deals (NewsCorp with OpenAI, Reddit with Google and OpenAI). The market is pricing the rights. The narrow caveat is the "in the style of" problem. Copyright doesn't stop a generative model from producing an unlimited supply of substitutable content in your aesthetic. Stock photographers, generic illustrators, and style based creators are getting hollowed out. Distinctive named brands and protected creative properties are not. > Specialised data is a 12-36 month moat at most. The smartest move the model labs have made in the last 18 months is the pivot to expert labelled data. Hundreds of millions of dollars are flowing into expert networks and specialised collection. ScaleAI grew revenue by paying senior radiologists, M&A lawyers, and pharma researchers for high quality reasoning traces. Surge AI built a similar business at roughly a $1B run rate. Every frontier lab is chipping away at your 'proprietary data'. The strategy works because expert judgment is scarce and hard to collect. The data is also burning a one time fuse. Once a lab has 100,000 traces of senior radiologist reasoning, the marginal value of the next 10,000 traces collapses. The capability bakes into the next base model and becomes available to anyone with API access. The expert data moat is real, but its half life is measured in quarters, not decades. The genuine exception is data that nobody else can collect even with money. Clinical trial outcomes from a specific cohort. Failure mode records from a physical process nobody else runs. Classified operational data. Proprietary chemistry from a 50 year R&D pipeline. Companies sitting on this kind of data have new durable moats but that set is small. So what's left when information stops being defensible? The protection that survives in 2026 comes from holding market position rather than owning information. 1. Brand. When you can't tell who or what wrote an email, you start caring more about whose name is on it. Brand has been gaining defensive value over the AI cycle. 2. Regulatory permission. Banking, healthcare, defence, energy, aviation. AI doesn't repeal regulation. New AI specific rules (the EU AI Act, US state level frameworks, sector specific guidance) add more compliance overhead, which favours incumbents. 3. Distribution and manufacturing capacity. Visa's payment rails. Apple's app store. TSMC's fabs. ASML's installed base of lithography machines. These depend on physical world constraints that no amount of compute can reverse engineer. 4. Network effects. Uber, Visa, social networks, marketplaces. AI tends to strengthen these by improving the matching layer that sits on top. 5. Customer relationships in high trust categories. M&A advisory, complex enterprise sales, private banking, sensitive consulting. The relationship is the asset, and AI cannot replicate it. 6. Genuinely irreplaceable data. The small set of companies sitting on data nobody else can collect. The companies that win the next 5 years will look more like Visa, ASML, TSMC, and the regulated incumbents than like a 2000s software-patent moat. Position outlasts information in an era where any capability can be reverse engineered by anyone with enough compute. Satya argues for building a learning loop to retain enterprise IP. So yes, build your loop. But understand that the moats that compound over a decade are the ones that don't depend on owning information at all.

• 
  SHROOMER (DOINK INHALER) 🚬🥦💨 (@MioFoSho) reported 32 minutes ago

  We only have 2,379 of them and one of them tried to saw someone’s head off in the street. The problem with Reddit intellectuals like this guy is that they view being mean to minorities as a bigger moral outrage than a ******* beheading. Civilisation is incommunicable.

• 
  BaLiLa (@mosochie) reported 32 minutes ago

  @Chioma__Amadi Great advice. Just to add on Karma. I created my reddit account recently. Didn't know my way around. About Rules. Then I was caught in a crossfire, where someone had posted something and was being asked to pull it down. So innocently I asked why?Trust me. How I got negative karma

• 
  Jim DeManche (@Jim_DeManche) reported 35 minutes ago

  I selected this review from Reddit about Steven Spielberg’s movie ‘Disclosure Day’. I haven’t seen the move but for the spoilers, and wasn’t impressed then. I’ll let you all decide, and remember, this is fantasy. - Jim 🛸 👽👽👽👽👽👽 Stay Away, Disclosure Day Just saw it yesterday, and it just gets worse the longer you think about it. Terrible movie, horrible script. We need to warn the public, they have a right to know. Feels like a mid-tier X-Files episode where they don't want to show the repercussions or don't have the budget. In the middle they have people literally looting a store over an unrelated WWIII barely there sub-plot and there's no resolution of hint to how disclosure might affect that. Lazy, lazy writing...I hate they said it was Spielbergs best in 20 years. Not even close. Thinking about it, this might actually be the worst Spielberg film I've seen. Just not cohesive, well thought out or even cinematically interesting. No complex characters. Alien technology that seems to do whatever the plot needs at the moment. The aliens look like generic aliens from the 80s, and there is not one scene that really uses the big screen to make its point. No amazing footage. That's part of the reason it feels like X-Files, because it feels like it was made for the small screen. I saw it in IMAX and this is the first time I saw something IMAX that just felt small and not using the big screen for story telling. I'm shocked that this is Spielberg. Sinners, Project Hail Mary, One Battle After Another, Superman, any Nolan...heck, even the Mandalorian made much better use of being a big movie screen.

• 
  Liam's LC/ME Journey (@liamsLCjourney) reported 35 minutes ago

  For @ImmunoFever: I pulled every amantadine anecdote from 3.3mil LC/ME Reddit contributions and ran each through Claude with a structured prompt. Amantadine is a mild dopaminergic stimulant that helps brain fog, fatigue, and energy. Of the 82 who reported a clear outcome: - 55% got at least partial benefit - 24% no effect - 21% got worse Broken out: 9 very effective, 36 somewhat effective, 20 no effect, 9 somewhat worse, 8 much worse. (The usual selection effect applies - these Reddit posts tend to be biased towards those who had a good experience) Of the 45 who benefited, roughly 3 in 4 said the benefit held and 1 in 4 said it faded. Several deliberately cycle on and off (a week on, a month off) to fight tolerance. Amantadine eases symptoms and is not disease-modifying. The benefit reverses when you quit. A few report withdrawal/discontinuation trouble. Importantly, the people who got worse recovered after stopping - no reports of lasting harm. WHAT IT FEELS LIKE At best: "I finally have my old personality back," music and reading came back. But it is borrowed energy - it does not raise your baseline, it just lets you feel more energized on top of the same illness. The flip side is tired but wired, insomnia, anxiety, a fight-or-flight edge. And because it masks the exhaustion signal, several people overdid it and crashed. SIDE EFFECTS Mostly activating: insomnia, anxiety, headache, dizziness, nausea. That activation drives the relatively high 21% worse rate - overstimulation, rather than disease worsening. Note: if you are looking to try this out before getting it prescribed, you can get bromantane as a research chemical, which acts on the same general pathway. It's available at Everychem among other shops.

• 
  JD (@klein_morreti72) reported 36 minutes ago

  @penis89881538 @ComicBookBookie @ProfondoRobbo dont u have a reddit server to be moderating rn why are u advertising ur retardation on twitter?

• 
  NinjaPromo (@ninjapromoio) reported 40 minutes ago

  @NoContextHumans That's when you have to add "reddit" to the end of the search and pray someone 8 years ago had the exact same problem

• 
  Orica (@Oricaaaaa) reported 46 minutes ago

  @datoncefromthad @mayorbigmeat Reddit is down the hall and to the left xir

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  dnv (@dnvtweets) reported 48 minutes ago

  r/gamedevelopment on reddit is hands down the worst place to look out for advice on gamedevelopment

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  Nym (@TheNameIsNym) reported 49 minutes ago

  @zoomton Eternally grateful to have ended up on early 10s british youtube and not having gone down the alt right pipeline reddit wanted me on 💀 Been online since 04 and definitely could have ended up a lot worse than I did lmao

• 
  smashmasterjavaarchive (@smashjarchive) reported 49 minutes ago

  @lainshawty ruh roh, the last time issues came up someone used ai to figure out what the vulns were off the diff and blabbed on reddit

• 
  Starz 🌠 (@PanicToast_) reported 52 minutes ago

  Low-key I hope isc makes a statement before shutting down the reddit where he face reveals and admits he was in a poly relationship with tnr and flrs and he's just a virgin freak

• 
  Paul White Gold Eagle (@PaulGoldEagle) reported 53 minutes ago

  🔺 BLACKOUTS AREN'T GRID FAILURES. THEY'RE COVER FOR MILITARY OPERATIONS HAPPENING BENEATH YOUR CITY. Every major blackout of the last 20 years followed the same pattern. No storm. No equipment failure. No overload. Just — darkness. Across entire metropolitan areas. For hours. Sometimes days. The 2003 Northeast blackout — 55 million people. The 2019 Manhattan blackout — 73,000 customers, zero explanation that held up. The 2021 Texas grid collapse — blamed on "winter weather" in a state with infrastructure rated for exactly that weather. They weren't failures. They were scheduled. ⟁ A former Army Corps of Engineers officer — attached to a unit that doesn't appear in any public roster — testified that large-scale power shutdowns are the standard protocol for underground military operations in urban areas. The tunnel systems beneath major cities are accessed through entry points inside substations, water treatment facilities, and municipal infrastructure buildings. Operations require complete electromagnetic silence on the surface — because the equipment used underground generates signatures detectable by civilian electronics. Your phone would glitch. Your WiFi would drop. Your smart devices would register anomalies. A thousand Reddit posts would appear within minutes asking "is anyone else's electronics acting weird?" The blackout prevents that. No power means no devices means no detection means no questions. ⟁ The 2003 blackout — 55 million people across the Northeast and parts of Canada. The official cause: a software bug in an Ohio power company's alarm system. One bug. Cascading across 8 states and a foreign country. In a grid designed with redundancies specifically to prevent cascading failures. What happened underground during those 29 hours has never been disclosed. But satellite thermal imaging — obtained by Alliance intelligence — shows heat signatures beneath 4 major cities during the blackout window that are consistent with explosive breaching, heavy machinery operation, and large-scale personnel movement. They cleared something. Moved something. Extracted something. While 55 million people sat in the dark wondering when their lights would come back on. ⟁ The Texas "freeze" of 2021. The grid didn't fail because of cold. Texas infrastructure handles cold annually. The grid was deliberately collapsed to provide cover for a 4-day operation beneath Houston, Dallas, and San Antonio simultaneously. The "frozen pipes" and "burst mains" that flooded basements across Texas — some of those basements revealed access points that homeowners had never seen. Tunnels behind walls that shouldn't have been hollow. Spaces beneath foundations that weren't on any blueprint. Residents were told it was weather damage. Some of them were looking at freshly sealed concrete where a tunnel entrance had been permanently closed — by someone who was there during the blackout. Next time your power goes out for no clear reason — no storm, no accident, no explanation — listen. Feel the ground beneath your feet. Something is happening below you that requires you to be blind and deaf for a few hours. The lights always come back on. And the operation is always complete before they do. CODE: BLACKOUT-PROTOCOL / EM-SILENCE / 2003-CLEARED / TEXAS-OP Your lights didn't go out because the grid failed. They went out because someone needed you not to see. The operations are almost complete. ♟ Every unexplained blackout was explained — just not to you. What happens underground requires darkness above. MrKidPool

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  Ivon Huang (@Ivon852) reported 54 minutes ago

  Why don’t I use #Firefox on Android? I use Firefox on Linux all the time, so why not on my phone? On Android, over 90% of browsers are Chromium-based. Only a small fraction are Gecko-based forks. And I’ve found that basically any Chromium browser or Android WebView performs better than Firefox. This post only refers to Firefox on Android, since it is the only one that actually ports Gecko to mobile. iOS Firefox is not really relevant here anyway, since due to platform restrictions it still uses WebKit under the hood. Problems with Firefox on Android: - Slow. Especially on mid-to-low-end devices. With the same 5 extensions installed, Firefox animations lag, while Chromium stays smooth. - Cluttered browsing history UI. Instead of a full list, it auto-groups entries. - Weak web sandboxing. From a strict security perspective, Firefox Android is hard to recommend; it lacks proper sandbox isolation compared to Chromium. - Web compatibility issues. Some pages break layout-wise. Some social platforms even serve legacy or degraded layouts specifically for Firefox Android. - UI inconsistency. Since Android 12, Google introduced more motion and transitions (like overscroll effects), but Firefox hasn’t really caught up. Dark mode sometimes requires a restart to apply. The UI still feels slightly “plastic” instead of fully modern/flat. - No per-site zoom. For sites like Reddit or Hacker News with small fonts, I end up relying on uBlock Origin CSS tweaks to resize text. - It also collects user data by default and may push “remote improvments” and experiments into the browser.

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  Basement Pup ΘΔ 🔜 AC (@PupsRoom) reported 58 minutes ago

  I saw a probably fake Reddit story one time about a guy with a massive **** who joined a SPH server and tried to lie about his **** being small by making a fake ruler that said his schmeat was like 3 inches