DISAWAR - Monthly Record Chart 2015 wise

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DATE MON TUE WED THU FRI SAT SUN
01/01/15
TO
04/01/15
93287824129368
08/01/15
TO
11/01/15
94248330404943
15/01/15
TO
18/01/15
42576750871775
22/01/15
TO
25/01/15
04621508573835
29/01/15
TO
01/02/15
4274**67408181
05/02/15
TO
08/02/15
51981257477549
12/02/15
TO
15/02/15
97515438065494
19/02/15
TO
22/02/15
660380879336947
26/02/15
TO
01/03/15
6330**29081377
05/03/15
TO
08/03/15
21060416376668
12/03/15
TO
15/03/15
11465149627106
19/03/15
TO
22/03/15
97714531877386
26/03/15
TO
29/03/15
84116286****99
02/04/15
TO
05/04/15
68586177760262
09/04/15
TO
12/04/15
54349552930866
16/04/15
TO
19/04/15
78556311706921
23/04/15
TO
26/04/15
52197549960705
30/04/15
TO
03/05/15
**531403889140
07/05/15
TO
10/05/15
53739545737382
14/05/15
TO
17/05/15
89538723439090
21/05/15
TO
24/05/15
50697784350629
28/05/15
TO
31/05/15
882424**897415
04/06/15
TO
07/06/15
100806967413114
11/06/15
TO
14/06/15
30773224602395
18/06/15
TO
21/06/15
49919230098314
25/06/15
TO
28/06/15
5118893115**61
02/07/15
TO
05/07/15
49315855249107
09/07/15
TO
12/07/15
96443247649980
16/07/15
TO
19/07/15
14924070607497
23/07/15
TO
26/07/15
725353021003287
30/07/15
TO
02/08/15
****6192549935
06/08/15
TO
09/08/15
929879842810053
13/08/15
TO
16/08/15
19123557383718
20/08/15
TO
23/08/15
77319936536213
27/08/15
TO
30/08/15
17955902**9672
03/09/15
TO
06/09/15
28317275836864
10/09/15
TO
13/09/15
14665506791829
17/09/15
TO
20/09/15
69300337052936
24/09/15
TO
27/09/15
818989368343**
01/10/15
TO
04/10/15
28714135258148
08/10/15
TO
11/10/15
02411809023206
15/10/15
TO
18/10/15
74611254966445
22/10/15
TO
25/10/15
43696849764209
29/10/15
TO
01/11/15
2481**03249570
05/11/15
TO
08/11/15
066210042621943
12/11/15
TO
15/11/15
196728100197958
19/11/15
TO
22/11/15
80490761509735
26/11/15
TO
29/11/15
43807306**1351
03/12/15
TO
06/12/15
61617146748673
10/12/15
TO
13/12/15
17462417735450
17/12/15
TO
20/12/15
44847458043392
24/12/15
TO
27/12/15
28770484195973
31/12/15
TO
03/01/16
##############
📊 Weekly Disawar Results for 2015

Disawar Chart Record: Early-Morning Declarations and Statistical Archives

Disawar holds a distinct position among regional markets due to its early-morning declaration schedule. As the opening event of the daily numerical calendar for many tracking enthusiasts, Disawar results set the baseline for each day's records. The Disawar chart is a structured compilation of these daily two-digit declarations, arranged into a chronological database that stretches across months and previous operating years.

Maintaining precision in an early-morning archive requires continuous verification. Because declarations occur while many informational feeds are inactive, inaccurate initial postings are common across low-tier forums. Through Satta Matka Main, the Disawar chart is updated using dual-verification protocols, ensuring that the number appearing on your screen is accurate and free from transcription discrepancies. This reliability makes the chart an indispensable reference for mathematical hobbyists and daily record-keepers alike.

Key Features and Structural Layout of the Disawar Table

The Disawar archive is structured specifically to make historical cross-referencing intuitive and efficient:

  • Sequential Day Mapping: Every entry is linked to its exact day, date, and calendar year, preventing any confusion during leap years or 31-day transitions.

  • Single-Pair Simplicity: Since Disawar functions on a 00-to-99 index, each row displays a streamlined two-digit outcome, making large blocks of data easy to scan.

  • Cross-Market Benchmarking: Many analysts place Disawar records directly alongside late-night markets from the preceding evening (such as Gali or Ghaziabad) to study inter-market distribution patterns.

This layout allows readers to immediately assess high-frequency digits, identify prolonged absence periods for specific pairs, and track digital sum characteristics without having to calculate values manually.

Applications of Historical Disawar Records

A reliable archive serves multiple practical purposes for different types of users:

  1. Long-Term Probability Studies: Data scientists and hobbyist mathematicians frequently pull long-term Disawar datasets to test uniform pseudo-random distributions across large sample sizes (e.g., 1,000+ draws).

  2. Pattern Verification: Independent researchers use the archive to verify whether historical numbers truly support recurring cycle theories or if declarations follow pure entropy.

  3. Reference Point for Combined Metrics: Because Disawar opens the day, its value is often factored into combined composite tables used by cross-market analytical models.

Having access to clean, tabular data ensures these evaluations rest on verified historical facts rather than hearsay.