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Reddit status: access issues and outage reports

Problems detected

Users are reporting problems related to: website down, errors and sign in.

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Reddit is a social news aggregation, web content rating, and discussion website. Reddit's registered community members can submit content, such as text posts or direct links.

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.

September 2: Problems at Reddit

Reddit is having issues since 10:00 AM EST. Are you also affected? Leave a message in the comments section!

Most Reported Problems

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

  • 45% Website Down (45%)
  • 29% Errors (29%)
  • 26% Sign in (26%)

Live Outage Map

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

CityProblem TypeReport Time
Patna Errors 2 days ago
Monclova Sign in 3 days ago
Nice Errors 3 days ago
Guayaquil Errors 13 days ago
Veracruz Website Down 19 days ago
Bhubaneshwar Website Down 21 days ago
Full Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

  • Lilyfaeah
    Lily🪷 (@Lilyfaeah) reported

    Please people on Reddit reply to my post about the meme squad Discord server pleaseee (I’m so pathetic)

  • dahliajeanx
    Dahliajean (@dahliajeanx) reported

    @GovofCO and @SenatorHick Assuming you are both working diligently behind the scenes to stop this ICE-OUT walkout on Friday. This sounds like a potentially dangerous situation for the students involved, and a potential lawsuit against COLORADO PUBLIC SCHOOLS. Parents believe their teens are safe in their classrooms. Meanwhile, the students are allowed to walk out at any time. No issue. No ramifications. But, how are all these teens getting to their final protest location? I've seen generous citizens on Reddit volunteering to pick them up. I'm sure it's nothing to be concerned with. Random strangers picking up teenage boys and girls from the parking lots of COLORADO PUBLIC SCHOOLS. What could possibly go wrong? I'll be following both of your social media accounts today to watch for updates on your diligent efforts to direct CPS to stop the walkout.

  • _sean_mcadam
    Sean 🇺🇸 Repeal the 17th 🇺🇸 NE3RD (@_sean_mcadam) reported

    @downdetector Problems and reddit down don't seem to go together

  • SulkaMike
    Mike Sulka (@SulkaMike) reported

    WSJ says Gemini 3.8 Flash, internally called Skimaki, could release as soon as today. Google engineers using it inside Jetski reportedly preferred it to Anthropic's Opus in head-to-head coding work. That's an internal opinion, not an independent benchmark, but WSJ reporting it from employees is a pretty substantial upgrade from the X cottage industry leak-account chatter we've had all week. Reddit actually adds an interesting piece to this. People already using 3.7 Flash keep coming back to the same thing: not that it is magically smarter than everything else, but that it is so damn fast. I agree. One developer described building several semi-complex web apps and said watching it work was a “hoot” because of the speed. Another heavy Claude/ChatGPT user said moving to 3.7 gave him “whiplash” because of how quickly it could iterate through coding work. A model that's 95% as good but can take three swings while the expensive model takes one may actually be the better coding model. There are also Reddit posts this morning claiming Gemini is identifying itself as 3.8 Flash even though the model selector still says 3.7. I would ignore those completely as proof. Asking an LLM what model it is remains the AI equivalent of asking a golden retriever who manufactured the dog food. Google's public pages still haven't given us a gemini-3.8-flash endpoint as I write this, so we're not across the finish line yet. But if 3.8 lands and independently backs up the WSJ coding claims, I think the story is pretty simple: Google may be turning latency from a product feature into an intelligence advantage. In agentic coding, the fastest good model gets to make more mistakes. And more importantly, it gets to fix them before the other guy finishes thinking.

  • CS3185826942857
    Baba i Baba (@CS3185826942857) reported

    @sarobertson_ Is this some kind of reddit moderator attempt at wit? It's not working.

  • techiboy96
    TechiBoy (@techiboy96) reported

    @KiranBehera_17 Yeah, these are some issues people are reporting. I don’t use Reddit that much, but I’ll check CMF PHONE 1 and CMF Phone 2 Pro from my side and get back on this. I’ve also forwarded these reports to the team. BTW there are some Nothing community MODS on Reddit...they don't reply?

  • vitverb
    Vit from joinrecall.com (@vitverb) reported

    @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.

  • Kitsune_tsuki__
    Nyxian (@Kitsune_tsuki__) reported

    @rabbit_punch55 Damn dude calm down lol Felt like I was on reddit for a second there.

  • Aabney
    Albert 🇵🇭🇺🇲 (@Aabney) reported

    @GenericGamer283 @PaulTassi @SeanFrancis My issue is this article links the current Steam numbers to an issue that was there at least halfway through season 1. After Cryo hit many players on reddit were complaining about the unbalanced lobbies. That was 4 months ago.

  • baroquerational
    Baroque Naturalist 🫒 (@baroquerational) reported

    @SYNESTHEIZURE @pannekook I'm too honest with myself, that's the problem. I don't like having to pretend to believe in dogma just to fit in with others. All my social views are based on what I think makes sense, not on what contrapoints or reddit say. That's why your views are incoherent and mine arent.

  • eCom_Amin
    Amin (@eCom_Amin) reported

    fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research skills jumped from 24.7% to 52.6% so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

  • xLemoneee
    Lem 🌊 (@xLemoneee) reported

    We have never seen a memecoin trigger a short squeeze in a real stock. It's worth understanding why, it was never possible... until recently. Think about what a short squeeze actually requires. A crowded short position. A catalyst. And a coordination layer, some place where thousands of people learn the same facts at the same time and act on them. In 2021 that layer was Reddit. For memecoins entire existence they've been paired against ETH, SOL, stablecoins. A memecoin could go to a billion dollars and no equity anywhere would feel a thing. There was no wire between web3 and a stock ticker. That changed recently, launchpads started letting anyone create a memecoin whose entire liquidity pool is denominated in a tokenized share. Groundbreaking technology, unchartered territories, it opens a new realm of possibilities. Not paired with a stablecoin. Paired with a stock. For the first time in market history, buying a meme mechanically buys exposure to an equity, on a market that runs 24/7, inside the same app where millions of retail traders hold the actual shares. We got our first glimpse of the new physics recently, tokenized share of the most shorted quantum stock printed $695 on a Saturday night while the real one sat at $7.93, because a memecoin drained its float while the market slept. The premium died Monday, as it should have. But the message didn't: things can happen in this structure that could not happen in any previous structure. I want to be precise, because precision is the whole point of my account, the coin itself cannot force a squeeze. The direct mechanical channel is small, and I've published the math showing exactly how small. What's unprecedented is the coordination layer. For the first time, it's a tradeable asset. It has a price, a chart, a scoreboard that never closes, and it's pointed at a ticker where 64 million borrowed shares are queued behind a narrow exit. A meme that gets stronger as attention grows, welded to a stock that gets more dangerous to short as attention grows. Nobody knows what that does. Not me, not the shorts, not the regulators. There is no precedent, no backtest, no playbook. That is what uncharted territory means. We find ourselves at the first experiment of its kind, and have the chance to push mechanics to the limit. Nobody is writing it down properly. So that's my job. $QI Not financial advice. -Lem

  • TheNewJxzz
    Jxzz☆ (@TheNewJxzz) reported

    @Methuselah360 @msmaureen90 @abbythelibb_ You think i dont agree shes a monster? She is. But you by your own words claimed that men are too emotional and irrational to not kill, if that is so, maybe we need to fix something. You are still defending the takes of men by excusing it as "reddit is a cesspool"

  • heyIrfan
    Mohamed irfan (@heyIrfan) reported

    If I had to build a SaaS from $0 today, I wouldn't start by writing code. I'd start by talking to the market. Imagine you have an idea you're convinced will work. You spend 3 months building it, make the UI beautiful, add 20 features, launch it… and then nothing happens. No users. No customers. That's when you realize: building the product wasn't the hardest part. Distribution was. I'd follow a simple rule: roughly 20% of my effort goes into building, and 80% goes into understanding customers and distribution. First, I'd study the market. Who has this problem? How are they solving it today? What competitors exist? What do customers hate about the existing solutions? And most importantly, is this problem painful enough that people will actually pay to solve it? That's actually the approach I'm taking while building nodott(dot)com. I'm not trying to spend months building a huge product and then hoping people show up. I'm trying to build the smallest version that solves the actual problem, get it in front of people, talk to users, collect feedback, and iterate. With AI tools, I'd try to get the MVP working in days, not months. No unnecessary animations. No 50 features. No obsession with perfect UI. Just solve the core problem and deliver value. Then I'd put it in front of real users. I wouldn't act like a salesman. I'd act like a problem solver. I'd ask what they're struggling with, how they solve it today, what they expected from the product, and what would make them pay. Then I'd build again based on what they actually told me. For marketing, I'd start with $0 in ads. I'd post useful things on X and Reddit, share what I'm learning, explain problems, answer questions, and give value. Someone sees the post → visits the website → signs up → becomes a beta user. Now you have something far more valuable than a follower: someone actually using your product. And if they don't pay? I'd ask: "Why aren't you paying?" That Million Dollar answer could completely change the future of the SaaS. Maybe the problem isn't painful enough. Maybe the product isn't solving the right problem. Maybe the value isn't clear. Maybe the pricing is wrong. Whatever the answer is, iterate. Build → Talk → Learn → Improve → Distribute → Repeat. I'd also find my ICP before my competitors do. If my competitor has thousands of followers, I'd study those followers. Find the people already talking about the problem. Follow them. Understand them. Comment. Give value. Don't immediately DM them: "Hey, check out my SaaS." Build the relationship first. Because marketing isn't just about getting attention. It's about becoming the person people trust when they finally need the solution. That's the mindset I'm trying to follow while building nodott(dot)com. You can build the best product in the world. But if nobody knows it exists, it doesn't matter. Build fast. Talk to users. Give value. Distribute. Iterate. Repeat.

  • Ekwundahh
    Hope 👑 (@Ekwundahh) reported

    Not until I went on Reddit and learned it’s actually a real thing. I quickly packed up & left, and from the day I left, I was fine. Some of these people use paintings and aesthetics to cover up mold & dampness that can cause real problems

  • malakhovdm
    Dmitrii Malakhov (@malakhovdm) reported

    @adamofk_ My Reddit scraper found the right threads every time. Response latency was the problem, not discovery.

  • om_patel5
    Om Patel (@om_patel5) reported

    grok bot made me exactly $262 today for my startup my entire sales and marketing team is 8 agents in a chat app 1\ lead scout figures out who my buyer actually is based off my existing customers, then goes and finds them pulls the list from apollo (cold leads), watches reddit, x and linkedin for anyone complaining about a competitor or asking for what i sell (warm leads) scores them 1 to 100 and drops anything under 60 2\ outreach engine takes that list and reaches out on whatever platform the lead came from cold emails go through resend, tue wed thu, 7am their local time, 4 emails with a day 3 follow up reddit, x and linkedin leads get a dm or a reply on the exact post that flagged them verifies every address first and rotates the sending domain so nothing lands in spam 3\ cold open writes the opener and does every reply after it it quotes what they actually said so the first line is never generic then keeps the thread going until they book or ghost me 4\ objection handler runs the support chat on my site, wired into my product knowledge base when someone goes back and forth it answers the real question instead of stalling, and kills the objection before it turns into a churn 5\ pricing architect watches which tiers people actually buy, moves prices up and down, and tells me where the money is sitting 6\ deal room the people who are almost there but need a human to close, like someone who wants a demo first it flags them and sends the booking link so i only get on calls with buyers 7\ content engineer writes posts for reddit, x and linkedin that promote the product, plus long form youtube video scripts built to rank on google and get cited by ai everything lands in drafts with ideas and hooks attached 8\ clipper cuts my youtube videos into short form and posts them to tiktok, reels and shorts all i need is one thread that shows me the whole system and it moves whether im awake or not people keep trying to hire a marketing team, but now all you need to do is write down what one actually does and then build it with @bot

  • eCom_Amin
    Amin (@eCom_Amin) reported

    fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

  • snackforcode
    Sarah (@snackforcode) reported

    “AI SaaS ideas” are cheap. Evidence that someone will pay is not. A better validation checklist: repeated complaint specific failed workaround cost of the problem emotional language request for a tool/recommendation That’s what ThreddIQ looks for in Reddit discussions.

  • hello_code_
    John (@hello_code_) reported

    @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

  • mickjayofficial
    Mick Jay (@mickjayofficial) reported

    @beffjezos Frontier labs have to stop pretraining/training their base models on internet sewage like Reddit (and other biased datasets) which is rife with moral relativism and ends-justify-the-means thinking. Guardrails won’t fix bad base training.

  • JustLingonberry
    Just_Lingonberry_352 (@JustLingonberry) reported

    @richiemcilroy @VineetDevaiah @levelsio i think its mostly an X thing people are anxious the feed algorithm keeps show them more of it the problem with X is that its too fast and magnifies too much as are other platforms but this is where I think reddit still shines

  • Smeetsya
    Rhonda S (@Smeetsya) reported

    @s4intfelina That's the problem. Men hate women, but women hate women too. I'll bet 90% of these snark reddit are women.

  • invisibleunltd
    INVIS.UNLTD👑 (@invisibleunltd) reported

    @ireadaxu @nypost Reddit will solve the problem

  • KianaS_00
    Kiana_SEO (@KianaS_00) reported

    If you’re spending budget on GEO right now, this test may save you from putting it into the wrong channel. Today, my client gave us around 500 queries their in-house team was tracking, saying that they want to do Reddit. We narrowed them down to 50 representative ones and ran each 10 times, roughly 500 real ChatGPT responses in total. In this sample, Reddit appeared as a referenced source only 4.8% of the time, with zero direct Reddit citations. At the same time, we started seeing YouTube show up much more often for this AI category. And this is exactly why, for the clients we already work with, we don’t treat distribution as a fixed strategy. Also, e didn’t wait for the Reddit citation drop to become a GEO headline. Our daily monitoring was already showing the shift. Around August 5, we started noticing changes in how ChatGPT was retrieving sources across real user responses. We adjusted the client’s distribution strategy before the broader data came out. Later, public tracking made the change much clearer. ChatGPT Search’s use of site:-specific fan-out queries jumped from roughly 0.37% to 16.8% in a day, while the average number of searches per response increased from around 1.08 to 1.83. A few days later, Reddit’s tracked share of ChatGPT Search citations fell from a previous average of 3.83% to around 0.52%. By the time this became widely discussed, we had already seen the direction in our own monitoring and started moving the client’s budget. But Reddit still matters for reviews, community discussion and long-term brand presence. Before scaling content, we now look at: which domains AI is actually retrieving from which formats keep getting cited which sources are gaining or losing share how those patterns are changing week by week Then we move the budget. For visual categories, that might mean more YouTube. For another category, it might be product pages, niche publications or first-party research. The useful takeaway is simple: Build your GEO distribution plan around what the model is retrieving now. And ideally, you see the shift in your own data before everyone starts posting about it.

  • Ldnbox
    Alek Asaduryan (@Ldnbox) reported

    Yesterday I had a really interesting call with a potential client. They run 3 brands in completely different verticals, but all three use basically the same business model. And they have the same problem: Reddit absolutely hates them. Search any of their brand names + Reddit and you’ll find thread after thread about: -Refunds people couldn’t get -Products looking nothing like the ads -Poor quality -Bad customer support It’s gotten so bad that they’re potentially losing millions across the 3 brands because people do their due diligence before buying, find these threads, and walk away. But here’s where it gets even more interesting. That reputation isn’t staying on Reddit anymore. Ask an LLM whether one of these brands is legit or worth buying from, and many of those same complaints become part of the answer. Of course, they wanted help fixing their Reddit presence. I told them I can help, but only AFTER they fix the underlying problems. I can build a branded account, create and grow a subreddit, monitor mentions, participate in relevant communities, and respond to complaints. But none of that matters if the product is still bad and customers still can’t get refunds. You can’t Reddit-market your way out of a broken product. If they fix those problems, though, Reddit becomes an opportunity. Their official account can go back to old complaint threads and say: “We heard you. X, Y and Z have been fixed. If you’re still having an issue, DM us and we’ll help.” That’s infinitely more powerful than trying to bury negative threads with manufactured positivity. If Reddit sentiment around your brand is terrible, don’t start with Reddit marketing. Fix the reason Reddit hates you first. Then show up and prove that you listened. PS. The image is just an example. Now imagine your brand name appearing over and over in communities like this.

  • JonesMiggs
    JonesMiggs (@JonesMiggs) reported

    @synfuldeer @DeadCarcosa @Myceliumsoul Yeah this part is just for the online, I'll send to you the reddit page that I used to boot up the online, one more thing, the textures of the ac's are probably gonna have a kind of problem that they go crazy, like not loading, I'll tell you what to do too

  • americanmcgee
    🔪 American McGee 🖤 (@americanmcgee) reported

    I find the timing of this interaction more than a little odd given that I recently reached out to the creator of the video in question to discuss the way in which it drives hate and misunderstanding. And I let them know that I was pondering the creation of a response video. But that I first wanted to give them a chance to discuss everything. They've since gone silent. And now this? So, the video isn't great. 250k views and it's stirred up a LOT of misunderstanding. But to be fair, the first three and a half minutes are fine. Our founding, the crowd design process, the monthly charitable donations. All of that is presented reasonably. Then we get to 3:30. That’s where the thesis arrives: “As Plushie Dreadfuls began to grow, controversy began to follow them as years passed by.” And from that point until about 9:45, it is one long, uninterrupted prosecution. No counter-points. No company response. No real attempt to explain the other side of anything. Then we get thirty warm seconds at the end about our scoliosis rabbit, which I guess is supposed to make the whole thing feel balanced? But the bookends are not the issue. The middle six minutes are. Look at where the material actually comes from. Essentially all of it traces back to one hostile subreddit and one TikTok rant that runs for about seventy seconds without any response from us at all. That is what viewers are given as an “overview” of our business. That’s not an honest overview. That’s reading our loudest critics into the record and calling it "research." Nowhere in the video does it mention that we have a 4.9 rating on Trustpilot across more than a thousand reviews. Reviews we cannot edit, remove, or filter. You would think that might be relevant when repeating the claim that we have “a really bad track record with customer service.” It takes one search to find that rating. One search. But if you do that search, maybe you can’t frame the story the same way. And the omissions are not small. With the refund story, the customer was offered three options: a full and fast refund if the damaged plush was destroyed, a smaller refund if they kept it, or a complete replacement if they sent it back. Three options. The Reddit thread focused on one because that made the story sound worse, and the video simply repeated that framing. The other two options? Never mentioned. On ABA, the organization we partnered with for the OG ASD Rabbit was specifically geared toward modern techniques designed to avoid the practices that made older ABA harmful. You can still have a conversation about ABA, obviously. But the video presents it as one uniformly abusive thing and treats our partnership as knowing complicity. Context disappears. Outrage remains. Out of that we have people claiming we "supported electrocuting kids" - literal quote. No joke. Then there’s the Discord claim. Again. It never ends. The video states as flat fact, in the creator’s own voice, that I went onto our Discord server “saying that being pan was a phase.” What it does not mention is my VERY NEXT response, where I made clear I was talking about a phase of interest on TikTok. Or the actual context of the conversation, which was about sales trends and redesigns. All that info is in the screenshots. All of it ignored. That context matters. It changes the meaning completely. But including it would make the claim much less useful. I guess it would make the video less watchable? 250k views makes this their most popular video ever. Imagine that! We also get the assertion that I have “a habit of responding in unprofessional ways to criticism.” Okay. Where is the evidence for that in the video? There isn’t any. The claim is just made. And, of course, there is no mention that many of my responses happen in the context of nonstop personal attacks. Apparently that part doesn’t matter either. Is what I am writing here "unprofessional?" I've noticed there are a lot of people out there who essentially consider facts to be unprofessional. Good luck with that. And here’s the thing that really gets me about these videos: at no point did the creator contact me, my wife, or anyone on our team. Not once. Every one of these misrepresentations could have been cleared up with a single message. I know that because when I finally reached out myself, I got a reply within hours. They were reachable the entire time. Nobody tried. And the video creator follows me here on X. That means they have watched over a year of the fallout from all of this. And done nothing in response. I often say that the attacks and behaviors that flow from these incidents are 1000x worse than the incidents themselves. This is a perfect example of that. When I raised all of this, I was told the creator had maintained a neutral stance throughout, and that they had made sure to state the Discord comment had nothing to do with hate toward any group. Great. Except neither of those things is in the video. There is no such statement anywhere in it. And the narration does NOT maintain some careful neutral stance; it repeatedly delivers conclusions in the creator’s own voice. Maybe that’s carelessness. Maybe it’s something worse. Either way, the result is the same. A video that its own creator apparently cannot accurately describe is now being used as a primary source for people calling me a bigot, accusing us of hiding AI use, and worse. And my team absorbs that every day. I absorb it every day. If the video had been made in good faith, one message would have fixed this. If facts were the priority, the Trustpilot rating, the full refund options, the ABA context, and my next Discord response would all be in there. But they aren’t. And I think we all know why. Pretty sure I am going to record a full-length response to this and post it across my socials... but I guess I'll give the video creator a little longer to respond before I do. It's more grace and understanding than they are the haters they inspire ever gave us. Sure that will be ignored too 🤷

  • krystalchantalc
    Krystal 🇿🇦 (@krystalchantalc) reported

    @Arthanis38 @Clint_Davey1 Reddit is down the hall and to the left

  • bperson056
    B To the ************* Knee, MANLETGVD (@bperson056) reported

    @GirlsDislikeMe Being a ***** and going to Reddit is why men are cucked. You're a man. Even at 5'6" the amount of sheer strength and will flowing through you outnumbers hers 100:1. Even if she's taller, standing still is enough to knock them down. Don't go to Soyditt. Be a ******* man.