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Telecoms blocking access to NIH studies

Hacker News

Telecoms blocking access to NIH studies

It appears that at least two mobile internet providers are blocking access to NIH studies. For instance, I was unable to load this from my phone using 4G and had to connect using separate wifi. Several others have confirmed this. For instance: https://www.ncbi.nlm.nih.gov/m/pubmed/21716201/ If you're unable to view the link, it discusses the carcinogenic effects of low intensity microwave radiation from devices such as mobile phones and wireless modems. Edit: Appears that all NIH studies are blocked, e.g., https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3746332/ So perhaps it's a DDOS prevention routing issue.

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6points
1comments
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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