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are kids so easy to indoctrinate? i suppose tiktok self-indoctrination is fine ...

fair. plausibly tested what's easy enough to do and still seems like a win. we need a separate treatment for increasing informativeness of news.

good point about the title.



"Assert against the trace, not the prose."



sample output

``` { "question": "What is the distribution of Sepal Length?", "answer": "*Sepal Length*: mean=5.84, median=5.80, std=0.83, range=[4.30, 7.90]. N=150 [non-normal distribution].", "type": "distributional", "provenance": { "generated_at": "2025-11-19T19:21:28+00:00", "tool": "statqa", "tool_version": "0.2.0", "generation_method": "template", "analysis_type": "unknown", "variables": ["sepal_length"], "python_commands": ["valid_data.mean() # Result: 5.84", "valid_data.std() # Result: 0.83"] }, "visual": { "plot_type": "histogram", "caption": "Histogram showing sepal length distribution with mean=5.84 and std=0.83 (N=150). The data shows a approximately normal distribution.", "alt_text": "Histogram chart with sepal length values on x-axis and frequency density on y-axis, showing distribution shape with 150 observations.", "visual_elements": { "chart_type": "histogram", "x_axis": "Sepal Length", "y_axis": "Density", "key_features": ["distribution shape", "mean line"], "colors": ["blue bars", "red mean line"], "annotations": ["Mean: 5.84"] }, "primary_plot": "/path/to/univariate_sepal_length.png", "generation_code": "plot_factory.plot_univariate(data['sepal_length'], sepal_length_var, 'plot.png')" }, "vars": ["sepal_length"] } ```


Output includes the precise commands run to generate the number


By the way, new enough to HN that I don't know if this a policy or not. I revised the title for clarity


the guidance on titles boils down to: > please use the original title, unless it is misleading or linkbait; don't editorialize.

But the guidelines (linked at the bottom of the main page) has the full official policy

https://news.ycombinator.com/newsguidelines.html


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