Remembering My Dad Through His Lists
He listed the 539 books he read in his last 25 years. He listed every C-Span Booknotes episode he watched religiously every Sunday night for almost seven years (322 shows). He kept shopping lists for his small fridge in his man cave (Pepsi, hazelnut coffee, heavy cream), and long lists of daily tasks.\r\nHe recorded them in pocket-sized notebooks kept close by his reading chair.
- ▪He listed the 539 books he read in his last 25 years.
- ▪He listed every C-Span Booknotes episode he watched religiously every Sunday night for almost seven years (322 shows).
- ▪He kept shopping lists for his small fridge in his man cave (Pepsi, hazelnut coffee, heavy cream), and long lists of daily tasks.\r\nHe recorded them in pocket-sized notebooks kept close by his reading chair.
Readers Digest publishes from India and files mainly under news. We currently carry 15 of its stories.
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Story provenance
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Record
| Original publisher | Readers Digest |
| Canonical URL | https://www.readersdigest.in/true-stories/story-remembering-my-dad-through-his-lists-128002?utm_source=rss |
| Publication time | Mon, 29 Jun 2026 07:39:28GMT |
| Retrieval time | 2026-07-26T23:24:42.208Z |
| Last seen | 2026-07-26T23:24:57.404Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | X2E_lHmV4ENF |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Readers Digest.