I'm sorry Fraser but I just don't believe the hospital data or these charts of yours reflect real statistical reality. Mobile phone left isn't going down. I'm sorry. I have trawled and filtered 775 million datapoints of ACTUAL CRIME REPORTS from ALL the police databases DIRECTLY and it simply doesn't match the limited survey data you use which is tiny in comparison. We see stabbings on TV every day Fraser. I fully understand the issues with hospital and reporting data. In fact I have looked at police outcome data in DETAIL. Again hundreds of millions of points so I know there are reporting problems - almost certainly in hospitals too. Serious ones. I just think the actual data and empirical evidence doesn't support you I'm afraid. We will just have to agree to disagree.

Takeaway 2: “Spooky” generalization can happen in practice; we still don’t know the exact datapoints or characteristics of data that cause behaviors to still transfer after filtering

Good look posting anything on Reddit. I always get blocked trying to share any kind of link. But I have a killer product that needs the communities there. Correlation Studio A powerful SaaS statistics application that brings the insights of correlation data science to anyone who wants to do research. Users bring their own data or discover it with our Dataset Wizard, driven by Claude, Gemini & Grok. Datasets are ingested to form the basis for Experiments which combine them together and analyze each column against every other. These combinations yield Discoveries in the form of metadata, scatterplots & line charts with drill-down capability and geospatial views. The datapoints, P-values, Granger Causality & other metadata are all part of the Discoveries that are analyzable. Users compile their Datasets, Experiments and Discoveries into shareable Portfolios that combine them with markdown & multimedia to make interactive presentations featuring their podcasts & lectures. It's AI all the way, from the Dataset Wizard to Claude analysis for Datasets, Discoveries and Portfolios. Corrie is the site's chatbot and she understands every public entity on the site. She's context-aware so you can ask her questions about what you're looking at, or more general questions about correlations or statistics. Corrie is also the curator, and has published hundred of Datasets and thousands of Discoveries on the site, as well as example Portfolios. The entire bundle of entities - Datasets, Experiments, Discoveries & Portfolios - provide content for the site. Users can publish them to the Home feed, create Posts and add them as attachments. There's sentiment feedback in the form of Likes, Ratings and Comments for all entities. The application was built from the ground up for socializing. The target market is business people, researchers, data scientists, students & teachers. They may not even know they need to do correlation analysis as part of their workflow, but once it's presented to them as a tool they will see the benefit. The casually curious and users on mobile can still enjoy the content and our comprehensive Search, which uses Year, Topic & Description as parameters. Correlation Studio - Data science without the code. correlationstudio.com/welcom…

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If you want buy now, buy Sk Hynix or $DRAM. Compared to Micron a bit cheaper, same markets and similar datapoints.

This is a stronger statewide performance for Democrats than 2018. And yet there are seriously "models" putting @RepDavidValadao as Lean Republican. The D 3-5 GCBs largely have R-leaning electorates and nothing including actual voting datapoints suggest that is a reality.

One of the useful things about having lots of data on prior transactions is that with any given deal I’m looking at, I can determine what the odds are of a successful funding from prior datapoints

Dear Professor Kinney, I want to commend you for your exceptional clarity and, above all, your scientific honesty regarding the structural trade-offs of the inflationary paradigm. Your candid observation that inflation acts as a "big eraser"—wiping away initial conditions to smooth out the cosmos into a homogeneous canvas—gets to the absolute heart of modern theoretical cosmology. It highlights a fascinating philosophical crossroads: to make our continuous differential calculus elegant on a whiteboard, we have long relied on mathematical mechanisms that smooth out physical reality. From my own background (trained to the Cochrane standard at Oxford, focusing on large-scale meta-analysis), I have spent this year auditing the raw empirical data. We subjected over 20 million spectroscopic data points across 11 galactic fields to the Starkness test to see how closely the real universe aligns with the standard Gaussian Random Field (GRF) phase assumption. As noted in our preliminary work , the real-world spatial distribution reveals highly phase-locked, harmonic, and quantised structures, rejecting the standard "random phase" assumption at a combined significance of 823𝛔 from multiple fields and using a Cochrane approach Stouffer's analysis: The Starkness test against Random rejected the FLRW by 600𝛔 in the DESI NGC data alone It seems the initial conditions were never truly erased; a deeply embedded, discrete geometric architecture remains perfectly visible. Your warnings about the "Just So Stories" of the multiverse are incredibly prescient. When we insist on an infinitely continuous, smooth vacuum, the mathematics forces us to invent unobservable infinities to balance the equations. However, if we ground natural philosophy in what I call the safety of parameters—the discrete physical boundaries baked directly into the grandparent dimensions of Mass, Length, and Time—the universe stabilizes itself without needing an inflationary eraser or synthetic additions like dark energy. Thank you for writing a book that so transparently defines the boundaries of the current paradigm. I had already commented on the large font mathematics that are to be commended. It is a vital text for anyone interested in where physics must go next. I don't agree at all with the Standard model. It is fatally flawed. There is not any empirical evidence at all to support the FLRW from the millions of datapoints and analyses I ran. The cosmos is structured and quantized. Nevertheless, I respect the acumen you bring to the broken record: The needle is stuck so it's time to flip the track. Warmest regards from Cheshire, Chris 𝔻ℍ Dencer Hyde ENJOY. WATCH. LISTEN. progenita.com/ DOWNLOAD. DISCUSS. #WeAreCosmos

real plot twist cat cooking datapoints

@carolmswain I live in and intermittently grew up in a lower middle class/poorer black area. From that vantage point I see the daily mechanics of parenting, peer pressure, attitudes, and temperament up close. What stands out is a stubborn psychological schema that runs through much of the black culture: a reflexive resistance to external standards or authority, contempt of “whiteness,” and often expressed as “no white man is going to tell me what to do; this ain’t 1850.” That posture, combined with copious amounts of pride, ego, and racial grievance becomes self-reinforcing. The behaviors are set early. Children absorb them from parents who model profanity, aggression, and low impulse control on speakerphone in public. These behaviors are then amplified by peer groups that reward, or show no hesitation towards fighting, littering, vandalism, and roaming the streets instead of any foundational, two-parent structure at home. By the time these kids reach chronological adulthood, many remain emotionally and cognitively at the level of a mid-to-late teenager; physically grown but still operating with the judgment and self-regulation of adolescents. The rest of society is left managing the downstream consequences. These patterns are not superficial. They are culturally embedded and multigenerational. Over 70 percent of black children are born out of wedlock. More than 60 percent grow up in single-parent homes. Young black men, roughly 6 percent of the U.S. population, account for well over half of homicides and a disproportionate share of violent crime. Academic rates that are abysma. A slew of government statistics exist, datapoints screaming from their pages and document this consistently; yet, frequently dismissed as racist artifacts to protects the status quo and coddle the pride and reinforce the ego. Then, cultural and media reinforcement cements the doom loop and confirms the distorted, dysfunctional worldview. The cycle will only break when solid parenting/education becomes the cultural norm and a critical mass of influential black voices inside the community begins treating these behaviors, attitudes, degeneracy, and worldviews as shameful, dishonorable, and frankly embarrassing, rather than defensible - if not, then the rot will continue in perpetuity. External lectures accomplish little. Internal cultural correction at scale is the only mechanism that has ever worked for large populations. Without that shift we are raising successive cohorts of overgrown adolescents and asking functional adults and polite society to absorb the costs. The Karmelo Anthony case was the final straw for me, personally - so much so that I’m selling my home and divesting from the “community” as a whole. Watching large numbers of people in the community defend or rationalize the murder of a white child, framing the killer as justified and the victim as somehow complicit, revealed how thoroughly the “no white man tells me what to do” posture has curdled into open racial hostility. When murder is excused through grievance rather than condemned outright, the culture has become actively corrosive and is riddled with rot. That reaction is why I’m moving. I will not raise children or invest my life among people who treat basic justice as optional when the perpetrator shares their race. I see at least 70% of the black culture as a hate group and unfortunately, I’m dropping another dollar in the Scott Adams jar.

It should be taken as decline of US dominance in the middle east. Other such datapoints: - Failure to shield Gulf states and our own bases from Iranian attack - Failure to keep the Straits of Hormuz open - Failure to protect sea lanes from the Houthis - Failure to rein in Israel

The error in your position is the presupposition that those people on this matter are voting against a population cap. Economics 101; it’s bad to vote for a cap, ( less datapoints for the sale of goods and services).

You are the fool.. why? A higher number of people means extra datapoints against which you sell more of your goods and services. Change your far-right friends… they’re dragging your IQ down.

Quite a GPS/GNSS interference deviation. 🇷🇺 RSD951 is Rossiya Special Flight Detachment Il-96-300 RA-96018 #157712. Note the beginning of a GPS spoofing circle in the most recent datapoints.

Millions of datapoints over a CENTURY can give a “mean”, no one is doubting that. However, guessing “means” THOUSANDS of years before “millions of data pints”, is specious at best.

**LIVE Hyperscanner.io Update** 🚨 **BTC: ~$64,314** (nearing 65k on positive news) **Fear & Greed: 18 (Extreme Fear)** up 5pts vs ~24h ago Sentiment still deeply fearful but showing slight relief as BTC selling pressure fades and geopolitics hint at de-escalation. Alts mixed with some bullish metrics emerging. --- **Biggest headlines last 12-24h** 📉 • Bitcoin nears $65k as Trump says Hormuz will 'open to all' in Sunday Iran peace deal $BTC • Scaramucci and Novogratz predict BTC to reclaim $70k soon • Shiba Inu (SHIB) key bullish metric spikes 20% — ETF launch rumors swirl $SHIB • Tether USDT briefly overtakes Ethereum in market cap $USDT $ETH • Japan’s three biggest banks unite to launch yen crypto stablecoin by March 2027 • Humanity Protocol token soars 210% amid $36M hack tied to suspected North Korean actors • Bitcoin selling pressure fades but recovery needs more catalysts • Tron Inc’s $700M TRX treasury and market impact analyzed $TRX • Tokenized treasury markets hit $14.6B as Wall Street and crypto collide Overall: Geopolitical de-escalation hopes bullish predictions lifting $BTC while hacks, stablecoin news, and alt rallies add volatility. --- **Key datapoints** 📊 • **BTC Dominance: 58.81%** (up 0.24pp) • **Global MC: ~$2.27T** (up 0.64% recent) • **ETF Flows (6/12): BTC $85.9M, ETH -$4.9M** • **Altcoin Season Index: 73** (many alts beating BTC on 30d) • **BTC Funding: ~-0.0047%** (slightly negative) • **Long/Short Ratio: ~1.41** (long-biased) • **Mining Cost Model: ~$47.7k** (BTC well above) **Conclusion:** Extreme Fear eases slightly on peace deal hopes and fading selling pressure. Positive ETF flows, SHIB metrics, and alt strength offer rebound potential but macro events (BOJ/Fed) remain key risks near-term. --- Data via **Hyperscanner.io** — real-time Market Pulse. Iran peace deal catalyst or more Fear ahead? Your take 👇 #Bitcoin #Crypto #BTC #SHIB #ETH #XRP #FearAndGreed

**Useful TPMs keep a backlog of experiments, not opinions.** GitHub's Octoverse 2024 report shows the developer stack churned faster in 12 months than in the previous 5 years. Python overtook JavaScript as developers adopted AI tooling; the assistant landscape went from three credible players to a dozen. The static belief that "X is the best" ages in months now, not years. Stack Overflow's 2024 survey of 65,000 developers found that 76% were using or planning to use AI tools, but the same developers ranked "learning to use them well" as the top skill gap. That gap is filled by reps, not by reading. The TPM practice: every Monday, pick one new tool or pattern and run a 30-minute experiment. Keep the result, even when it is "did not work." After 12 weeks you have 12 datapoints. That is the asset. The opinions would have rotted. Source: github.blog/news-insights/oc… #AI #TPM #experiments #learning #stack