🧵1/ Pulled 12.5 years of @Fitbit weight data via @Google Takeout becuz muh acquisitions. No clean export. Broken tables. Fragmented JSON payload, so I rolled it up myself 👇🏻 ``` python3 - <<'PY' import csv, glob, json, os from datetime import datetime files = sorted(glob.glob("weight-*.json")) if not files: raise SystemExit("No weight-*.json files found in this folder.") def iter_dicts(x): """Yield dict records from any nested JSON structure.""" if isinstance(x, dict): # if this dict itself looks like a record, yield it too yield x for v in x.values(): yield from iter_dicts(v) elif isinstance(x, list): for item in x: yield from iter_dicts(item) def parse_dt(rec): for k in ("dateTime","datetime","date_time","timestamp","date"): v = rec.get(k) if isinstance(v, str) and v.strip(): for fmt in ("%Y-%m-%d %H:%M:%S","%Y-%m-%d %H:%M","%Y-%m-%dT%H:%M:%S","%Y-%m-%d"): try: return datetime.strptime(v.replace("Z",""), fmt) except Exception: pass return None def to_float(x): try: return float(x) except Exception: return None rows, all_keys = [], set() for fp in files: with open(fp, "r", encoding="utf-8") as f: obj = json.load(f) # Collect candidate dicts that actually contain a weight-like field candidates = [] for rec in iter_dicts(obj): if not isinstance(rec, dict): continue if any(k in rec for k in ("weight","weightKg","weight_kg","value","Weight")): candidates.append(rec) print(f"{fp}: {len(candidates)} record(s)") for rec in candidates: dt = parse_dt(rec) w = None for k in ("weight","Weight","weightKg","weight_kg","value"): if k in rec: w = to_float(rec.get(k)) if w is not None: break out = dict(rec) out["datetime_parsed"] = dt.isoformat(sep=" ") if dt else "" out["weight_raw"] = f"{w:.3f}" if isinstance(w, (int, float)) else "" out["source_file"] = fp all_keys.update(out.keys()) rows.append(out) preferred = ["datetime_parsed","weight_raw","bmi","fat","logId","source_file"] fieldnames = preferred sorted(k for k in all_keys if k not in preferred) rows.sort(key=lambda r: r.get("datetime_parsed") or "9999-12-31 23:59:59") with open("fitbit_weight_all.csv","w",newline="",encoding="utf-8") as f: w = csv.DictWriter(f, fieldnames=fieldnames) w.writeheader() w.writerows(rows) print(f"✅ Wrote fitbit_weight_all.csv with {len(rows)} total rows from {len(files)} files.") PY ```

“Nature gives you the face you have at twenty. Life shapes the face you have at thirty. But at fifty you get the face you deserve.” Coco Chanel

🧵 Here is the TRUTH: Dangerous gain-of-function research was funded by the U.S. government around the world, directed and approved by people like Dr Fauci. @DNIGabbard exposed that yesterday. Using U.S. government data, put together and uncovered by career subject matter experts in the Intelligence Community and other government agencies, yesterday’s release highlighted one example of the many overseas biolabs funded by the U.S., the research conducted there, and the significant risks they pose to the world, especially when located in a country at war.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ 🔗 dni.gov/files/BIOLAB_Slides.…

Tel Aviv Levin’s Comical Meltdown as He Sees President Trump Moving Aggressively to Sign a Peace Accord with Iran… mediaite.com/politics/mark-l…

two fitty

We’re gonna have the #GREAT @realErikDPrince run the whole show, folks.

I shall never grow tired of watching municipalities and quasi-public/private gov-regulated utilities deflect responsibility to each other like the spider-man meme, @WHFraudTF. A municipality’s coffers are not spared by ignorance; fiscal stewardship is as binding as any law.

😩BUT WHO WILL BUILD THE ROADS AND CUT DOWN THE TREES WITHOUT GOVERNMENT IN #ANARCHOCAPITALISM?!😩 You can #DIY or subcontract. It’s time for a decentralized network of computers recording and authenticating txs on an #OpenSource ledger without relying on a central authority.

You screw around, and you screw up, folks- in the words of #SweatyTeddy @TedNugent, “Real FUCKIN’ simple.”

AMERICA AF. 🦅🇺🇸

How is everyone’s blood-pressure and resting-heart rate after 40 mins of intensive #rowing? I’m currently 46 BPM and 123/63. G’day.

BANNON: People have to understand, after Trump, the deluge. The system wants to go back to flooding the zone with migrants bc it creates bigger consumer markets and drives wages down.

Tell us why you're not legally allowed to own a gun Laura? They need to get your straight jacket ready.

Cc: #MarenAltman.

This update will be another a fuckin’ lie.

“We understand it. Because we know the cheat code, which is: Put the [#Bitcoin] chart into logarithmic view. Look at the X axis. Then own the assets that are outpacing everything else on that scale. That’s it.” We’re done printing money, BIG OL BABY BUCKET BOIS!

BANNON: @DNIGabbard dropped a bomb on biolabs. They’re going nuts calling her a Russian asset. Tulsi was given the receipts and the neocons can’t stand it. They hate Tulsi and wanted to turf her out bc of the intel she managed that would’ve kept us out of this debacle in Iran.

This is an ABSOLUTE JOKE of a Premium app, @weatherchannel; it’s always wrong. Winds have been very steady today and no signs of storms this afternoon.

Thomas Sowell on programs aiming for equality: “I’ve been doing studies now for 20 years of programs designed to increase equality—they increase inequality.” “Because even when the programs are designed for disadvantaged groups, they help the affluent members of the disadvantaged groups, while the lower members of those groups fall further behind than ever before.”

😆